Merge branch 'master' of github.com:adamhrv/megapixels_dev

1 files changed, 61110 insertions, 0 deletions

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--- /dev/null
+++ b/scraper/reports/stats/unknown_papers.csv
@@ -0,0 +1,61110 @@
+6163381244823241373f6741a282f2c4a868b59c,Multimodal biometrics for identity documents (MBioID).,"Multimodal Biometrics for Identity
+Documents 1
+State-of-the-Art
+Research Report
+PFS 341-08.05
+(Version 2.0)
+Damien Dessimoz
+Prof. Christophe Champod
+Jonas Richiardi
+Dr. Andrzej Drygajlo
+{damien.dessimoz,
+{jonas.richiardi,
+June 2006
+This project was sponsored by the Foundation Banque Cantonale Vaudoise."

+610e0bee525a6573932e077f091505f54a5c4ede,"The Wisdom of MaSSeS: Majority, Subjectivity, and Semantic Similarity in the Evaluation of VQA","Majority, Subjectivity, and Semantic Similarity in the Evaluation of VQA
+The Wisdom of MaSSeS:
+Shailza Jolly∗
+SAP SE, Berlin
+TU Kaiserslautern
+Sandro Pezzelle∗
+SAP SE, Berlin
+CIMeC - University of Trento
+Tassilo Klein
+SAP SE, Berlin
+Andreas Dengel
+DFKI, Kaiserslautern
+CS Department, TU Kaiserslautern
+Moin Nabi
+SAP SE, Berlin"

+61c4969c78cff37357ac794af5ac8e439751b39f,Midrange Geometric Interactions for Semantic Segmentation,"Int J Comput Vis
+DOI 10.1007/s11263-015-0828-7
+Midrange Geometric Interactions for Semantic Segmentation
+Constraints for Continuous Multi-label Optimization
+Julia Diebold1 · Claudia Nieuwenhuis2 · Daniel Cremers1
+Received: 1 June 2014 / Accepted: 15 May 2015
+© Springer Science+Business Media New York 2015"

+610a4451423ad7f82916c736cd8adb86a5a64c59,A Survey on Search Based Face Annotation Using Weakly Labelled Facial Images,"Volume 4, Issue 11, November 2014                                  ISSN: 2277 128X
+International Journal of Advanced Research in
+Computer Science and Software Engineering
+Research Paper
+Available online at: www.ijarcsse.com
+A Survey on Search Based Face Annotation Using Weakly
+Labelled Facial Images
+Shital A. Shinde*, Prof. Archana Chaugule
+Department of Computer Engg, DYPIET Pimpri,
+Savitri Bai Phule Pune University, Maharashtra India"

+61366c2eed49519e3adef44e8b7146db1fcc2113,Convex NMF on Non-Convex Massiv Data,"Convex NMF on Non-Convex Massiv Data
+Kristian Kersting1 and Mirwaes Wahabzada1 and Christian Thurau2 and Christian Bauckhage2
+Knowledge Discovery Department, 2Vision and Social Media Group
+Fraunhofer IAIS, Schloss Birlinghoven, 53754 Sankt Augustin, Germany"

+617c4e23fc7ca51d98dacb28779214b3e79e9720,Open-Ended Visual Question-Answering,"Open-Ended Visual
+Question-Answering
+Escola T`ecnica Superior d’Enginyeria de Telecomunicaci´o de Barcelona
+Submitted to the Faculty of the
+A Degree Thesis
+In partial fulfilment
+of the requirements for the degree in
+SCIENCE AND TELECOMMUNICATION TECHNOLOGIES
+ENGINEERING
+Author:
+Advisors: Xavier Gir´o i Nieto, Santiago Pascual de la Puente
+Issey Masuda Mora
+Universitat Polit`ecnica de Catalunya (UPC)
+June 2016"

+61e97d8440627bdc9772b3b2083c65f44a51107d,Oxytocin and vasopressin in the human brain: social neuropeptides for translational medicine,"R E V I E W S
+Oxytocin and vasopressin in the
+human brain: social neuropeptides
+for translational medicine
+Andreas Meyer‑Lindenberg*, Gregor Domes‡, Peter Kirsch* and Markus Heinrichs‡"

+618c13f1e13cc5346ed5c069a77acaa720b6a1a8,Learning More Universal Representations for Transfer-Learning,"SUBMISSION TO PAMI, SEPTEMBER 2018
+Learning More Universal Representations
+for Transfer-Learning
+Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot, Mohamed-El-Amine Seddik
+nd Mohamed Tamaazousti"

+619eaaa60f0194d456591983a6f26b04cd9e9a52,"Munafo, M. (2017). Impaired Recognition of Basic Emotions from Facial Expressions in Young People with Autism Spectrum Disorder: Assessing the Importance of Expression","Griffiths, S. L., Jarrold, C., Penton-Voak, I., Woods, A., Skinner, A., &
+Munafo, M. (2017). Impaired Recognition of Basic Emotions from Facial
+Expressions in Young People with Autism Spectrum Disorder: Assessing the
+Importance of Expression Intensity. Journal of Autism and Developmental
+Disorders. DOI: 10.1007/s10803-017-3091-7
+Publisher's PDF, also known as Version of record
+Link to published version (if available):
+0.1007/s10803-017-3091-7
+Link to publication record in Explore Bristol Research
+PDF-document
+This is the final published version of the article (version of record). It first appeared online via Springer at
+http://link.springer.com/article/10.1007%2Fs10803-017-3091-7. Please refer to any applicable terms of use of
+the publisher.
+University of Bristol - Explore Bristol Research
+General rights
+This document is made available in accordance with publisher policies. Please cite only the published
+version using the reference above. Full terms of use are available:
+http://www.bristol.ac.uk/pure/about/ebr-terms"

+61f4e08b938986ea80f711c73cadbc84e1811181,Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms,"Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms
+{tag}                                                 {/tag}
+International Journal of Computer Applications
+Foundation of Computer Science (FCS), NY, USA
+Volume 134
+Number 7
+Year of Publication: 2016
+Authors:
+Filani Araoluwa S., Adetunmbi Adebayo O.
+10.5120/ijca2016907932
+{bibtex}2016907932.bib{/bibtex}"

+61764c068ad7d2ec988e6ec315d6ed2ed7489c2e,PhD Forum: Dynamic Camera Positioning and Reconfiguration for Multi Camera Networks,"Dynamic Camera Positioning and
+Reconfiguration for Multi Camera
+Networks
+Krishna Reddy Konda
+Advisor: Dr Nicola Conci
+February 2015"

+610c341985633b2d31368f8642519953c39ff7e8,Computational Load Balancing on the Edge in Absence of Cloud and Fog,"Computational Load Balancing on the Edge in Absence of Cloud
+nd Fog
+Citation for published version:
+Sthapit, S, Thompson, J, Robertson, NM & Hopgood, J 2018, 'Computational Load Balancing on the Edge
+in Absence of Cloud and Fog' IEEE Transactions on Mobile Computing. DOI: 10.1109/TMC.2018.2863301
+Digital Object Identifier (DOI):
+0.1109/TMC.2018.2863301
+Link:
+Link to publication record in Edinburgh Research Explorer
+Document Version:
+Peer reviewed version
+Published In:
+IEEE Transactions on Mobile Computing
+General rights
+Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s)
+nd / or other copyright owners and it is a condition of accessing these publications that users recognise and
+bide by the legal requirements associated with these rights.
+Take down policy
+The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer
+ontent complies with UK legislation. If you believe that the public display of this file breaches copyright please"

+6180bc0816b1776ca4b32ced8ea45c3c9ce56b47,Fast Randomized Algorithms for Convex Optimization and Statistical Estimation,"Fast Randomized Algorithms for Convex Optimization and
+Statistical Estimation
+Mert Pilanci
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2016-147
+http://www.eecs.berkeley.edu/Pubs/TechRpts/2016/EECS-2016-147.html
+August 14, 2016"

+61f04606528ecf4a42b49e8ac2add2e9f92c0def,Deep Deformation Network for Object Landmark Localization,"Deep Deformation Network for Object Landmark
+Localization
+Xiang Yu, Feng Zhou and Manmohan Chandraker
+NEC Laboratories America, Department of Media Analytics"

+61c4b35443b152679c923d5db6c26daaec304172,Fast and stable human detection using multiple classifiers based on subtraction stereo with HOG features,"Fast and Stable Human Detection Using Multiple Classifiers
+Based on Subtraction Stereo with HOG Features
+Makoto Arie, Alessandro Moro, Yuma Hoshikawa, Toru Ubukata, Kenji Terabayashi, Kazunori Umeda"

+6106028c73d22570a01212814e1e4f4edb4abed6,Counting moving people in crowds using motion statistics of feature-points,"Multimed Tools Appl
+DOI 10.1007/s11042-013-1367-2
+Counting moving people in crowds using motion
+statistics of feature-points
+Mahdi Hashemzadeh· Gang Pan· Min Yao
+© Springer Science+Business Media New York 2013"

+617a6935643615f09ef2b479609baa0d5f87cd67,To Be Taken At Face Value? Computerised Identification,"Information and Communications Technology Law
+To Be Taken At Face Value?
+Computerised Identification
+Michael Bromby
+Joseph Bell Centre for Forensic Statistics and Legal Reasoning
+Glasgow Caledonian University and University of Edinburgh
+Scientific  evidence  such  as  fingerprints,  blood,  hair  and  DNA  samples  are  often
+presented  during  legal  proceedings.    Without  such  evidence,  a  description  provided  by
+the  victim  or  any  eyewitnesses  is  often  the  only  means  to    identify  a  suspect.    With  the
+dvent  of  closed  circuit  television  (CCTV),  many  crimes  are  now  recorded  by
+ameras  in  the  public  or  private  domain,  leading  to  a  new  form  of  forensic
+identification  –  facial  biometrics.  Decisions  on  how  to  view  and  interpret  biometric
+evidence  are  important  for  both  prosecution  and  defence,  not  least  for  the  judge  and
+jury  who  must  decide  the  case.    A  jury  may  accept  eyewitnesses  as  reliable  sources  of
+evidence  more  readily
+False
+eyewitness  accounts  appear  reliable  when  confidently  presented  to  a  mock  jury.    The
+decision-making  process  of  the  judge  and  jury  may  be  seriously  flawed  if  an
+eyewitness  has  made  a  genuine  mistake.    Using  computerised  recognition,  the  judicial
+decision  of  whether  to  accept  an  alibi  or  whether  to  accept  the  eyewitness  account"

+614a7c42aae8946c7ad4c36b53290860f6256441,Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks,"Joint Face Detection and Alignment using
+Multi-task Cascaded Convolutional Networks
+Kaipeng Zhang, Zhanpeng Zhang, Zhifeng Li, Senior Member, IEEE, and Yu Qiao, Senior Member, IEEE"

+617b719e6c31cdfe7c5c485a755435b95f0c4991,Visual Classification of Images by Learning Geometric Appearances Through Boosting,"Visual Classification of Images by Learning
+Geometric Appearances through Boosting
+Martin Antenreiter, Christian Savu-Krohn, and Peter Auer
+Chair of Information Technology (CiT)
+University of Leoben, Austria"

+6155d504d59c52dc3a6b8ad6aeae8bf249afd5ac,Analysis of Feature Fusion Based on HIK SVM and Its Application for Pedestrian Detection,Hindawi Publishing Corporation

+61c07d7387dcbfb8fa697f15316e3b265d78a2fa,Multi-modal Approach for Affective Computing,"Multi-modal Approach for Affective Computing
+Siddharth1,2, Tzyy-Ping Jung2 and Terrence J. Sejnowski2"

+619f9c1552f8f4f7c5927a7369c79e34d6294083,A Volumetric / Iconic Frequency DomainRepresentation,"AVolumetric/IconicFrequencyDomain
+RepresentationforObjects
+withapplicationfor
+PoseInvariantFaceRecognition

+AppearedinIEEETrans.onPatternAnalysisandMachineIntelligence
+Vol.
+JezekielBen-ArieandDibyenduNandy
+DepartmentofElectricalEngineeringandComputerScience
+TheUniversityofIllinoisatChicago
+ContactAddress:
+Dr.JezekielBen-Arie
+TheUniversityofIllinoisatChicago
+DepartmentofElectricalEngineeringandComputerScience(M/C
)
+
SouthMorganStreetChicago,IL
+Phone:(
)		-
+Fax:(
)		-
+
ThisworkwassupportedbytheNationalScienceFoundationunderGrantNo.IRI-		
+ndGrantNo.IRI-	

	."

+61b0cfd75f5bce59cf79abb7b602e404fa5584e7,Person Re-Identification by Semantic Region Representation and Topology Constraint,"IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
+Person Re-Identification by Semantic Region
+Representation and Topology Constraint
+Jianjun Lei, Senior Member, IEEE, Lijie Niu, Huazhu Fu, Senior Member, IEEE, Bo Peng,
+Qingming Huang, Fellow, IEEE, and Chunping Hou"

+614f4f8fe47e7c0bcf64aa0ad39dc371e4b4ab7b,promoting access to White Rose research papers,"promoting access to White Rose research papers
+Universities of Leeds, Sheffield and York
+http://eprints.whiterose.ac.uk/
+This is an author produced version of a paper published in Journal of Autism
+nd Developmental Disorders.
+White Rose Research Online URL for this paper:
+http://eprints.whiterose.ac.uk/10325
+Published paper
+Freeth, M., Chapman, P., Ropar, D., Mitchell, P. (2010) Do gaze cues in complex
+scenes capture and direct the attention of high functioning adolescents with ASD?
+evidence from eye-tracking, Journal of Autism and Developmental Disorders (In
+Press)
+http://dx.doi.org/10.1007/s10803-009-0893-2
+White Rose Research Online"

+617253f275f14490c61dc9d8cb23ceb9c9d4ba35,A coarse-to-fine curvature analysis-based rotation invariant 3D face landmarking,"A coarse-to-fine curvature analysis-based rotation invariant 3D face
+landmarking
+Przemyslaw Szeptycki, Mohsen Ardabilian and Liming Chen"

+61f0cb2e3fdc6a5d0719184e51d2dc483a945ac1,Bilinear Attention Networks,"Bilinear Attention Networks
+Jin-Hwa Kim1∗, Jaehyun Jun2, Byoung-Tak Zhang2,3
+SK T-Brain, 2Seoul National University, 3Surromind Robotics"

+61b17f719bab899dd50bcc3be9d55673255fe102,Detecting Sarcasm in Multimodal Social Platforms,"Detecting Sarcasm in Multimodal Social Platforms
+Rossano Schifanella
+University of Turin
+Corso Svizzera 185
+0149, Turin, Italy
+Paloma de Juan
+Yahoo
+29 West 43rd Street
+New York, NY 10036
+Joel Tetreault
+Yahoo
+29 West 43rd Street
+New York, NY 10036
+Liangliang Cao
+Yahoo
+29 West 43rd Street
+New York, NY 10036
+inc.com"

+61bab86023de164bca3e35fc22944a7262970e1d,Child Facial Expression Detection,"CHILD FACIAL EXPRESSION
+DETECTION
+Eden Benhamou
+Deborah Wolhandler
+Supervisors:
+Alon Zvirin
+Michal Zivan
+Spring 2018"

+61dfebbb02dad16b56cd9e6c54b5da3ab41caf1c,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.
+Peer reviewed version
+Link to publication record in Explore Bristol Research
+PDF-document
+University of Bristol - Explore Bristol Research
+General rights
+This document is made available in accordance with publisher policies. Please cite only the published
+version using the reference above. Full terms of use are available:
+http://www.bristol.ac.uk/pure/about/ebr-terms"

+611f9faa6f3aeff3ccd674d779d52c4f9245376c,Multiresolution Models for Object Detection,"Multiresolution models for object detection
+Dennis Park, Deva Ramanan, and Charless Fowlkes
+UC Irvine, Irvine CA 92697, USA,"

+0d1a87dad1e4538cc7bd3c923767c8bf1a9b779f,The Riemannian Geometry of Deep Generative Models,"The Riemannian Geometry of Deep Generative Models
+Hang Shao
+University of Utah
+Salt Lake City, UT
+Abhishek Kumar
+IBM Research AI
+Yorktown Heights, NY
+P. Thomas Fletcher
+University of Utah
+Salt Lake City, UT"

+0db787317ba0d63ec8f9918905e7db181a489026,Automatic Eye Localization in Color Images,"Automatic Eye Localization in Color Images
+José Gilvan Rodrigues Maia1, Fernando de Carvalho Gomes1, Osvaldo de Souza2
+Departamento de Computação – Universidade Federal do Ceará (UFC)
+Depto de Engenharia de Teleinformática – Universidade Federal do Ceará (UFC)
+60455-760 – Fortaleza – CE – Brasil
+{gilvan,"

+0d88ab0250748410a1bc990b67ab2efb370ade5d,Error handling in multimodal biometric systems using reliability measures,"Author(s) :
+ERROR HANDLING IN MULTIMODAL BIOMETRIC SYSTEMS USING
+RELIABILITY MEASURES  (ThuPmOR6)
+(EPFL, Switzerland)
+(EPFL, Switzerland)
+(EPFL, Switzerland)
+(EPFL, Switzerland)
+Krzysztof Kryszczuk
+Jonas Richiardi
+Plamen Prodanov
+Andrzej Drygajlo"

+0d82013cbe9f65ddb34e5d99eab730fce4f0effe,A system based on sequence learning for event detection in surveillance video,"978-1-4799-2341-0/13/$31.00 ©2013 IEEE
+ICIP 2013"

+0d538084f664b4b7c0e11899d08da31aead87c32,Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction,"Deformable Part Descriptors for
+Fine-grained Recognition and Attribute Prediction
+Ning Zhang1
+Ryan Farrell1,2
+Forrest Iandola1
+ICSI / UC Berkeley 2Brigham Young University
+Trevor Darrell1"

+0dcdef6b8d97483f4d4dab461e1cb5b3c4d1fe1a,Probabilistic Semantic Inpainting with Pixel Constrained CNNs,"Probabilistic Semantic Inpainting with Pixel Constrained CNNs
+Emilien Dupont
+Suhas Suresha
+Schlumberger Software Technology Innovation Center"

+0dccc881cb9b474186a01fd60eb3a3e061fa6546,Effective face frontalization in unconstrained images,"Effective Face Frontalization in Unconstrained Images
+Tal Hassner1, Shai Harel1 †, Eran Paz1 † and Roee Enbar2
+The open University of Israel. 2Adience.
+Figure 1: Frontalized faces. Top: Input photos; bottom: our frontalizations,
+obtained without estimating 3D facial shapes.
+“Frontalization” is the process of synthesizing frontal facing views of faces
+ppearing in single unconstrained photos. Recent reports have suggested
+that this process may substantially boost the performance of face recogni-
+tion systems. This, by transforming the challenging problem of recognizing
+faces viewed from unconstrained viewpoints to the easier problem of rec-
+ognizing faces in constrained, forward facing poses. Previous frontalization
+methods did this by attempting to approximate 3D facial shapes for each
+query image. We observe that 3D face shape estimation from unconstrained
+photos may be a harder problem than frontalization and can potentially in-
+troduce facial misalignments. Instead, we explore the simpler approach of
+using a single, unmodified, 3D surface as an approximation to the shape of
+ll input faces. We show that this leads to a straightforward, efficient and
+easy to implement method for frontalization. More importantly, it produces
+esthetic new frontal views and is surprisingly effective when used for face
+recognition and gender estimation."

+0d96c9d14f079b7b8b6b56b4fa86f611a4ff237f,Semi-supervised low-rank mapping learning for multi-label classification,"Semi-supervised Low-Rank Mapping Learning for Multi-label Classification
+Liping Jing1, Liu Yang1, Jian Yu1, Michael K. Ng2
+Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University. 2Department of Mathematics, Hong Kong Baptist University.
+With the rapid growth of online content such as images, videos, web pages,
+it is crucial to design a scalable and effective classification system to au-
+tomatically organize, store, and search the content. In conventional clas-
+sification, each instance is assumed to belong to exactly one class among
+finite number of candidate classes. However, in modern applications, an
+instance can have multiple labels. For example, an image can be annotated
+y many conceptual tags in semantic scene classification. Multi-label data
+have ubiquitously occurred in many application domains: multimedia infor-
+mation retrieval, tag recommendation, query categorization, gene function
+prediction, medical diagnosis, drug discovery and marketing. An important
+nd challenging research problem [1, 4] in multi-label learning is how to
+exploit and make use of label correlations.
+In this paper, we develop a novel method for multi-label learning when
+there is only a small number of labeled data. Our main idea is to design
+Semi-supervised Low-Rank Mapping (SLRM) from a feature space to a
+label space based on given multi-label data. More specifically, the SLRM
+model can be formularized as"

+0d6b28691e1aa2a17ffaa98b9b38ac3140fb3306,Review of Perceptual Resemblance of Local Plastic Surgery Facial Images using Near Sets,"Review of Perceptual Resemblance of Local
+Plastic Surgery Facial Images using Near Sets
+Prachi V. Wagde1, Roshni Khedgaonkar2
+,2 Department of Computer Technology,
+YCCE Nagpur, India"

+0dc2fdf1b97c76de1e7380e8126f8acc7d87e23a,Robust PCA Via Nonconvex Rank Approximation,"Robust PCA via Nonconvex Rank Approximation
+Department of Computer Science, Southern Illinois University, Carbondale, IL 62901, USA
+Zhao Kang, Chong Peng, Qiang Cheng
+{zhao.kang, pchong,"

+0d2a9f3357717e0a44eb82d5eabfc047cc4d46f1,Classifier Ensembles with Trajectory Under-Sampling for Face Re-Identification,"Classifier Ensembles with Trajectory Under-Sampling
+for Face Re-Identification
+Roghayeh Soleymani1, Eric Granger1 and Giorgio Fumera2
+Laboratoire d’imagerie, de vision et d’intelligence artificielle, École de technologie supérieure,
+Pattern Recognition and Applications Group, Dept. of Electrical and Electronic Engineering, University of
+Université du Québec, Montreal, Canada
+Cagliari,Cagliari, Italy
+Keywords:
+Person Re-Identification, Class Imbalance, Ensemble Methods."

+0dab1ab19a44b73ce0fdd15014b635eb7362af3c,Reinforcement Cutting-Agent Learning for Video Object Segmentation,"Reinforcement Cutting-Agent Learning for Video Object Segmentation
+Junwei Han1, Le Yang1, Dingwen Zhang1
+, Xiaojun Chang3, Xiaodan Liang3
+Northwestern Polytechincal University, 2Xidian University, 3Carnegie Mellon University"

+0d7ddcf97b1341d8d4bbc4718f4ca3094e994a1f,Homographic Active Shape Models for View-Independent Facial Analysis,"Homographic Active Shape Models for View-Independent
+Facial Analysis
+Federico M. Sukno12 and Jos´e J. Guerrero32 and Alejandro F. Frangi1
+Department of Technology, Pompeu Fabra University, Barcelona, Spain;
+Aragon Institute of Engineering Research, University of Zaragoza, Spain;
+Computer Science and System Engineering Department, University of Zaragoza, Spain"

+0dd74bbda5dd3d9305636d4b6f0dad85d6e19572,Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach,"Heterogeneous Face Attribute Estimation:
+A Deep Multi-Task Learning Approach
+Hu Han, Member, IEEE, Anil K. Jain, Fellow, IEEE, Fang Wang,
+Shiguang Shan, Senior Member, IEEE and Xilin Chen, Fellow, IEEE"

+0d07db3510c7f9c2ceab65444cb8fc8ec49197b2,Learning-based Composite Metrics for Improved Caption Evaluation,"Learning-based Composite Metrics for Improved Caption Evaluation
+Naeha Sharif, Lyndon White, Mohammed Bennamoun and Syed Afaq Ali Shah,
+{naeha.sharif,
+nd {mohammed.bennamoun,
+The University of Western Australia.
+5 Stirling Highway, Crawley, Western Australia"

+0d130b5536bb1b909ff9a62737d768d4b4fab2f6,Semantic Segmentation with Scarce Data,"Semantic Segmentation with Scarce Data
+Isay Katsman * 1 Rohun Tripathi * 1 Andreas Veit 1 Serge Belongie 1"

+0d3882b22da23497e5de8b7750b71f3a4b0aac6b,Context is routinely encoded during emotion perception.,"Research Article
+Context Is Routinely Encoded
+During Emotion Perception
+1(4) 595 –599
+© The Author(s) 2010
+Reprints and permission:
+sagepub.com/journalsPermissions.nav
+DOI: 10.1177/0956797610363547
+http://pss.sagepub.com
+Lisa Feldman Barrett1,2,3 and Elizabeth A. Kensinger1,3
+Boston College; 2Psychiatric Neuroimaging Program, Massachusetts General Hospital, Harvard Medical School; and 3Athinoula A. Martinos
+Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School"

+0d185e6de595bd3844909d3606e9218a498a9bd8,Trace optimization and eigenproblems in dimension reduction methods,"TRACE OPTIMIZATION AND EIGENPROBLEMS IN DIMENSION
+REDUCTION METHODS
+E. KOKIOPOULOU∗, J. CHEN†, AND Y. SAAD†"

+0d90d046db16d3d5ce70590e6dab32cdd58928f6,A robust feature extraction algorithm based on class-Modular Image Principal Component Analysis for face verification,"978-1-4577-0539-7/11/$26.00 ©2011 IEEE
+ICASSP 2011"

+0d52f1ae438a395fadebf04990d0d1750cdd0218,Face Recognition in Various Illuminations,"Saurabh D. Parmar et al Int. Journal of Engineering Research and Applications          www.ijera.com
+ISSN : 2248-9622, Vol. 4, Issue 5( Version 5), May 2014, pp.98-102
+RESEARCH ARTICLE
+Face Recognition in Various Illuminations
+Saurabh D. Parmar, Vaishali J. Kalariya
+Research Scholar, CE/IT Department-School of Engineering, R.K. University, Rajkot
+Professor, CE/IT Department-School of Engineering, R.K. University, Rajkot
+OPEN ACCESS"

+0d760e7d762fa449737ad51431f3ff938d6803fe,LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object Detection in Embedded Systems,"LCDet: Low-Complexity Fully-Convolutional Neural Networks for
+Object Detection in Embedded Systems
+Subarna Tripathi
+UC San Diego ∗
+Gokce Dane
+Qualcomm Inc.
+Byeongkeun Kang
+UC San Diego
+Vasudev Bhaskaran
+Qualcomm Inc.
+Truong Nguyen
+UC San Diego"

+0d30a662061a495e4b5aeb92a2edfac868b225ea,Quantification of Emotions for Facial Expression: Generation of Emotional Feature Space Using Self-Mapping,"Chapter 7
+Quantification of Emotions for Facial Expression:
+Generation of Emotional Feature Space Using Self-
+Mapping
+Masaki Ishii, Toshio Shimodate, Yoichi Kageyama,
+Tsuyoshi Takahashi and Makoto Nishida
+Additional information is available at the end of the chapter
+http://dx.doi.org/10.5772/51136
+. Introduction
+Facial expression recognition for the purpose of emotional communication between humans
+nd machines has been investigated in recent studies [1-7].
+The shape (static diversity) and motion (dynamic diversity) of facial components, such as
+the eyebrows, eyes, nose, and mouth, manifest expression. From the viewpoint of static di‐
+versity, owing to the individual variation in facial configurations, it is presumed that a facial
+expression pattern due to the manifestation of a facial expression includes subject-specific
+features.  In  addition,  from  the  viewpoint  of  dynamic  diversity,  because  the  dynamic
+hanges in facial expressions originate from subject-specific facial expression patterns, it is
+presumed that the displacement vector of facial components has subject-specific features.
+On the other hand, although an emotionally generated facial expression pattern of an indi‐
+vidual is unique, internal emotions expressed and recognized by humans via facial expres‐"

+0d48c282737793b234c56382053cc69cdddeccb0,A Poodle or a Dog? Evaluating Automatic Image Annotation Using Human Descriptions at Different Levels of Granularity,"Proceedings of the 25th International Conference on Computational Linguistics, pages 38–45,
+Dublin, Ireland, August 23-29 2014."

+0dd151d003ac9b7f3d6936ccdd5ff38fce76c29f,A Review and Comparison of Measures for Automatic Video Surveillance Systems,"Hindawi Publishing Corporation
+EURASIP Journal on Image and Video Processing
+Volume 2008, Article ID 824726, 30 pages
+doi:10.1155/2008/824726
+Research Article
+A Review and Comparison of Measures for
+Automatic Video Surveillance Systems
+Axel Baumann, Marco Boltz, Julia Ebling, Matthias Koenig, Hartmut S. Loos, Marcel Merkel,
+Wolfgang Niem, Jan Karl Warzelhan, and Jie Yu
+Corporate Research, Robert Bosch GmbH, D-70049 Stuttgart, Germany
+Correspondence should be addressed to Julia Ebling,
+Received 30 October 2007; Revised 28 February 2008; Accepted 12 June 2008
+Recommended by Andrea Cavallaro
+Today’s video surveillance systems are increasingly equipped with video content analysis for a great variety of applications.
+However, reliability and robustness of video content analysis algorithms remain an issue. They have to be measured against
+ground truth data in order to quantify the performance and advancements of new algorithms. Therefore, a variety of measures
+have been proposed in the literature, but there has neither been a systematic overview nor an evaluation of measures for
+specific video analysis tasks yet. This paper provides a systematic review of measures and compares their effectiveness for specific
+spects, such as segmentation, tracking, and event detection. Focus is drawn on details like normalization issues, robustness, and
+representativeness. A software framework is introduced for continuously evaluating and documenting the performance of video"

+0d0cee830772c3b2b274bfb5c3ad0ee42d8a0a57,Multimodal Convolutional Neural Networks for Matching Image and Sentence,"Multimodal Convolutional Neural Networks for Matching Image and Sentence
+Lin Ma
+Zhengdong Lu
+Lifeng Shang
+Hang Li
+{Lu.Zhengdong, Shang.Lifeng,
+Noah’s Ark Lab, Huawei Technologies"

+0dd72887465046b0f8fc655793c6eaaac9c03a3d,Real-Time Head Orientation from a Monocular Camera Using Deep Neural Network,"Real-time Head Orientation from a Monocular
+Camera using Deep Neural Network
+Byungtae Ahn, Jaesik Park, and In So Kweon
+KAIST, Republic of Korea"

+0dc34e186e8680336e88c3b5e73cde911a8774b8,Image Classification Using Naive Bayes Classifier With Pairwise Local Observations,"JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 32, XXXX-XXXX (2017)
+Image Classification Using Naive Bayes Classifier With
+Pairwise Local Observations
+SHIH-CHUNG HSU1, I-CHIEH CHEN1 AND CHUNG-LIN HUANG2
+Department of Electrical Engineering, National Tsing-Hua University, Hsin-Chu, Taiwan
+Department of M-Commerce and Multimedia Applications, Asia Univ., Tai-Chung, Taiwan
+E-mail:
+We propose a pairwise local observation-based Naive Bayes (NBPLO) classifier for
+image classification. First, we find the salient regions (SRs) and the Keypoints (KPs) as
+the local observations. Second, we describe the discriminative pairwise local observations
+using Bag-of-features (BoF) histogram. Third, we train the object class models by using
+random forest to develop the NBPLO classifier for image classification. The two major
+ontributions in this paper are multiple pairwise local observations and regression object
+lass model training for NBPLO classifier. In the experiments, we test our method using
+Scene-15 and Caltech-101 database and compare the results with the other methods.
+Keywords: Local observation-based Naive Bayes classifier (NBPLO), Salient Region(SR),
+Keypoint(KP), Bag-of-feature(BoF).
+. INTRODUCTION
+Image classification has been a challenging unsolved problem due to the complexity of
+image  contents.  It  has  been  a  popular  research  subject  of  many  recently  published  re-"

+0d0199e48d22ff4b80c983e3b28532f908467da7,Linear regression motion analysis for unsupervised temporal segmentation of human actions,"Linear Regression Motion Analysis for Unsupervised Temporal
+Segmentation of Human Actions
+Simon Jones, Ling Shao
+Department of Electronic and Electrical Engineering
+The University of Shef‌f‌ield, Mappin St, Shef‌f‌ield, S1 3JD, UK"

+0d30066576c029cd888d7c759349379bdb0e88c2,"How Much Information Kinect Facial Depth Data Can Reveal About Identity, Gender and Ethnicity?","How Much Information Kinect Facial Depth
+Data Can Reveal about Identity, Gender and
+Ethnicity?
+Elhocine Boutellaaa;b, Messaoud Bengherabia, Samy Ait-Aoudiab, Abdenour
+Hadidc
+Centre de D(cid:19)eveloppement des Technologies Avanc(cid:19)ees (DZ),
+Ecole Nationale Sup(cid:18)erieure d’Informatique (DZ),
+University of Oulu (FI)"

+0d076edd62e258316bc310fafcec88db3ab85434,Automatic detection and tracking of pedestrians from a moving stereo rig,"Automatic detection and tracking of pedestrians from a
+moving stereo rig
+Konrad Schindlera, Andreas Essb, Bastian Leibec, Luc Van Goolb,d
+Photogrammetry and Remote Sensing, ETH Z¨urich, Switzerland
+Computer Vision Lab, ETH Z¨urich, Switzerland
+UMIC research centre, RWTH Aachen, Germany
+dESAT/PSI–VISICS, IBBT, KU Leuven, Belgium"

+0da611ca979327840161df87564fd07299c268b5,Bodyprint: Biometric User Identification on Mobile Devices Using the Capacitive Touchscreen to Scan Body Parts,"Bodyprint
+Biometric User Identification on Mobile Devices
+Using the Capacitive Touchscreen to Scan Body Parts
+Christian Holz
+Senaka Buthpitiya
+Marius Knaust"

+0d82ac80275283c3dd26aca9e629ee6a9ca8a07a,An object-based semantic world model for long-term change detection and semantic querying,"An Object-Based Semantic World Model for
+Long-Term Change Detection and Semantic Querying
+Julian Mason and Bhaskara Marthi"

+0dfb47e206c762d2f4caeb99fd9019ade78c2c98,Custom Pictorial Structures for Re-identification,"CHENG et al.: CUSTOM PICTORIAL STRUCTURES FOR RE-IDENTIFICATION
+Custom Pictorial Structures for
+Re-identification
+Dong Seon Cheng1
+Marco Cristani1,2
+Michele Stoppa2
+Loris Bazzani1
+Vittorio Murino1,2
+http://profs.sci.univr.it/~swan
+Dipartimento di Informatica
+University of Verona
+Italy
+Istituto Italiano di Tecnologia
+Via Morego, 30
+6163 Genova, Italy"

+0d8e7cda7d8a2ff737c0ad72f31dfd4d80d3a09a,Network Structure & Information Advantage,"A research and education initiative at the MIT
+Sloan School of Management
+Network Structure & Information Advantage
+Paper 235
+Sinan Aral
+Marshall Van Alstyne
+July 2007
+For more information,
+please visit our website at  http://digital.mit.edu
+or contact the Center directly at
+or 617-253-7054"

+0d21472dbf20d4c1bd48a15267b4a59eff80e309,Multi-component Models for Object Detection,"Multi-component Models for Object Detection
+Chunhui Gu1, Pablo Arbel´aez2, Yuanqing Lin3, Kai Yu4, and Jitendra Malik2
+Google Inc., Mountain View, CA, USA
+UC Berkeley, Berkeley, CA, USA
+NEC Labs America, Cupertino, CA, USA
+Baidu Inc., Beijing, China"

+0d0041aefb16c5f7b1e593b440bb3df7b05b411c,Secure JPEG scrambling enabling privacy in photo sharing,"Secure JPEG Scrambling Enabling
+Privacy in Photo Sharing
+Lin Yuan, Pavel Korshunov, Touradj Ebrahimi
+Multimedia Signal Processing Group, EPFL
+De-ID workshop, Ljubljana, Slovenia
+8/14/2015
+Workshop on De-identification for Privacy Protection in Multimedia"

+0d33b6c8b4d1a3cb6d669b4b8c11c2a54c203d1a,Detection and Tracking of Faces in Videos: A Review of Related Work,"Detection and Tracking of Faces in Videos: A Review
+© 2016 IJEDR | Volume 4, Issue 2 | ISSN: 2321-9939
+of Related Work
+Seema Saini, 2 Parminder Sandal
+Student, 2Assistant Professor
+, 2Dept. of Electronics & Comm., S S I E T, Punjab, India
+________________________________________________________________________________________________________"

+0d8a2034bbdefa214d8debecc704cadc5b9ec6e8,Submitted for the Degree of Doctor of Philosophy at the University of Sussex,"A University of Sussex DPhil thesis
+Available online via Sussex Research Online:
+http://sro.sussex.ac.uk/
+This thesis is protected by copyright which belongs to the author.
+This thesis cannot be reproduced or quoted extensively from without first
+obtaining permission in writing from the Author
+The content must not be changed in any way or sold commercially in any
+format or medium without the formal permission of the Author
+When referring to this work, full bibliographic details including the
+uthor, title, awarding institution and date of the thesis must be given
+Please visit Sussex Research Online for more information and further details"

+0dd72a3522b99aedea83b47c5d7b33a1df058fd0,A Set of Selected SIFT Features for 3D Facial Expression Recognition,"A Set of Selected SIFT Features for 3D Facial
+Expression Recognition
+Stefano Berretti, Alberto Del Bimbo, Pietro Pala, Boulbaba Ben Amor,
+Daoudi Mohamed
+To cite this version:
+Stefano Berretti, Alberto Del Bimbo, Pietro Pala, Boulbaba Ben Amor, Daoudi Mohamed. A Set
+of Selected SIFT Features for 3D Facial Expression Recognition. 20th International Conference on
+Pattern Recognition, Aug 2010, Istanbul, Turkey. pp.4125 - 4128, 2010. <hal-00829354>
+HAL Id: hal-00829354
+https://hal.archives-ouvertes.fr/hal-00829354
+Submitted on 3 Jun 2013
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,"

+0da4c3d898ca2fff9e549d18f513f4898e960aca,The Headscarf Effect Revisited: Further Evidence for a Culture-Based Internal Face Processing Advantage.,"Wang, Y., Thomas, J., Weissgerber, S. C., Kazemini, S., Ul-Haq, I., &
+Quadflieg, S. (2015). The Headscarf Effect Revisited: Further Evidence for a
+36. 10.1068/p7940
+Peer reviewed version
+Link to published version (if available):
+0.1068/p7940
+Link to publication record in Explore Bristol Research
+PDF-document
+University of Bristol - Explore Bristol Research
+General rights
+This document is made available in accordance with publisher policies. Please cite only the published
+version using the reference above. Full terms of use are available:
+http://www.bristol.ac.uk/pure/about/ebr-terms.html
+Take down policy
+Explore Bristol Research is a digital archive and the intention is that deposited content should not be
+removed. However, if you believe that this version of the work breaches copyright law please contact
+nd include the following information in your message:
+• Your contact details
+• Bibliographic details for the item, including a URL
+• An outline of the nature of the complaint"

+95ace502ba23a8a5543b882937de23b892112cca,Facial Dynamics Interpreter Network: What Are the Important Relations Between Local Dynamics for Facial Trait Estimation?,"Facial Dynamics Interpreter Network: What are
+the Important Relations between Local
+Dynamics for Facial Trait Estimation?
+Seong Tae Kim and Yong Man Ro*
+School of Electrical Engineering, KAIST, Daejeon, Republic of Korea"

+95f990600abb9c8879e4f5f7cd03f3d696fcdec4,An Online Algorithm for Constrained Face Clustering in Videos,"Manuscript version: Author’s Accepted Manuscript
+The version presented in WRAP is the author’s accepted manuscript and may differ from the
+published version or Version of Record.
+Persistent WRAP URL:
+http://wrap.warwick.ac.uk/109574
+How to cite:
+Please refer to published version for the most recent bibliographic citation information.
+If a published version is known of, the repository item page linked to above, will contain
+details on accessing it.
+Copyright and reuse:
+The Warwick Research Archive Portal (WRAP) makes this work by researchers of the
+University of Warwick available open access under the following conditions.
+Copyright © and all moral rights to the version of the paper presented here belong to the
+individual author(s) and/or other copyright owners. To the extent reasonable and
+practicable the material made available in WRAP has been checked for eligibility before
+eing made available.
+Copies of full items can be used for personal research or study, educational, or not-for-profit
+purposes without prior permission or charge. Provided that the authors, title and full
+ibliographic details are credited, a hyperlink and/or URL is given for the original metadata
+page and the content is not changed in any way."

+956317de62bd3024d4ea5a62effe8d6623a64e53,Lighting Analysis and Texture Modification of 3D Human Face Scans,"Lighting Analysis and Texture Modification of 3D Human
+Face Scans
+Author
+Zhang, Paul, Zhao, Sanqiang, Gao, Yongsheng
+Published
+Conference Title
+Digital Image Computing Techniques and Applications
+https://doi.org/10.1109/DICTA.2007.4426825
+Copyright Statement
+© 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/
+republish this material for advertising or promotional purposes or for creating new collective
+works for resale or redistribution to servers or lists, or to reuse any copyrighted component of
+this work in other works must be obtained from the IEEE.
+Downloaded from
+http://hdl.handle.net/10072/17889
+Link to published version
+http://www.ieee.org/
+Griffith Research Online
+https://research-repository.griffith.edu.au"

+9501db000474dbd182579d311dfb1b1ab8fa871f,Supplementary of Multi-scale Deep Learning Architectures for Person Re-identification,"Supplementary of Multi-scale Deep Learning Architectures for Person
+Re-identification
+Xuelin Qian1 Yanwei Fu2,5,* Yu-Gang Jiang1,3 Tao Xiang4 Xiangyang Xue1,2
+Shanghai Key Lab of Intelligent Info. Processing, School of Computer Science, Fudan University;
+School of Data Science, Fudan University; 3Tencent AI Lab;
+Queen Mary University of London; 5University of Technology Sydney;
+. Multi-scale stream layers
+Multi-scale-A layer (Fig. 1), analyses the data stream with
+the size 1 × 1, 3 × 3 and 5 × 5 of receptive field. Further-
+more, in order to increase both depth and width of this layer,
+we split the filter size of 5 × 5 into two 3 × 3 streams cas-
+aded (i.e. stream-4 and stream-3 in Tab 1 and Fig. 1). The
+weights of each stream are also tied with the corresponding
+stream in another branch. Such a design art is, in general,
+inspired by, and yet different from the inception architec-
+tures [11, 12, 10]. The key difference lies in the weights
+which are not tied between any two streams from the same
+ranch, but are tied between the two corresponding streams
+of different branches.
+Reduction layer (Fig. 2) further passes the data stream"

+95296302a7fc82edf782cece082d7319cfa584b7,Detection-free Bayesian Multi-object Tracking via Spatio-Temporal Video Bundles Grouping,"Detection-free Bayesian Multi-object Tracking
+via Spatio-Temporal Video Bundles Grouping
+Technical Report, November 2013
+Yongyi Lu, Liang Lin, Yuanlu Xu, Zefeng Lai"

+9595a267de2b0ecf7e4e2962a606c8854551e203,On the Relation between Color Image Denoising and Classification,"On the Relation between Color Image Denoising
+nd Classification
+Jiqing Wu, Radu Timofte, Member, IEEE, Zhiwu Huang, Member, IEEE, and Luc Van Gool, Member, IEEE"

+959bcb16afdf303c34a8bfc11e9fcc9d40d76b1c,Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks,"Temporal Coherency based Criteria for Predicting
+Video Frames using Deep Multi-stage Generative
+Adversarial Networks
+Prateep Bhattacharjee1, Sukhendu Das2
+Visualization and Perception Laboratory
+Department of Computer Science and Engineering
+Indian Institute of Technology Madras, Chennai, India"

+95be490aef44da67ca1cef76b16df14b6e40c421,Learning Cross-View Binary Identities for Fast Person Re-Identification,"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16)
+Learning Cross-View Binary Identities
+for Fast Person Re-Identification
+Feng Zheng1, Ling Shao2
+Department of Electronic and Electrical Engineering, The University of Sheffield.
+Department of Computer Science and Digital Technologies, Northumbria University."

+95593fb20df8ce1273cebe0690cf2cdab054b9b5,Robust Multi-image HDR Reconstruction for the Modulo Camera,

+951f21a5671a4cd14b1ef1728dfe305bda72366f,Use of l2/3-norm Sparse Representation for Facial Expression Recognition,"International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Impact Factor (2012): 3.358
+Use of ℓ2/3-norm Sparse Representation for Facial
+Expression Recognition
+Sandeep Rangari1, Sandeep Gonnade2
+MATS University, MATS School of Engineering and Technology, Arang, Raipur, India
+MATS University, MATS School of Engineering and Technology, Arang, Raipur, India
+three
+to  discriminate
+represents  emotion,"

+95aef5184b89daebd0c820c8102f331ea7cae1ad,Recognising facial expressions in video sequences,"Recognising facial expressions in video sequences
+Jos´e M. Buenaposada1, Enrique Mu˜noz2⋆, Luis Baumela2
+ESCET, Universidad Rey Juan Carlos
+C/Tulip´an s/n, 28933 M´ostoles, Spain
+Facultad Inform´atica, Universidad Polit´ecnica de Madrid
+Campus Montegancedo s/n, 28660 Boadilla del Monte, Spain
+http://www.dia.fi.upm.es/~pcr
+Received: 7 Jan 2007 / Accepted: 10 July 2007/ Online: 18 Oct 2007"

+95225bab187483e37823daab5c503f6b327fb008,Improved MinMax Cut Graph Clustering with Nonnegative Relaxation,"Improved MinMax Cut Graph Clustering with
+Nonnegative Relaxation
+Feiping Nie, Chris Ding, Dijun Luo, and Heng Huang
+Department of Computer Science and Engineering,
+University of Texas, Arlington, America"

+9588a42bff63fb36015e10fac9f3121154c3ab1d,Explaining Potential Risks in Traffic Scenes by Combining Logical Inference and Physical Simulation,"International Journal of Machine Learning and Computing, Vol. 6, No. 5, October 2016
+Explaining Potential Risks in Traffic Scenes by Combining
+Logical Inference and Physical Simulation
+Ryo Takahashi, Naoya Inoue, Yasutaka Kuriya, Sosuke Kobayashi, and Kentaro Inui
+from  observation  and"

+9547a7bce2b85ef159b2d7c1b73dea82827a449f,Facial expression recognition using Gabor motion energy filters,"Facial Expression Recognition Using Gabor Motion Energy Filters
+Tingfan Wu
+Dept. Computer Science Engineering
+UC San Diego
+Marian S. Bartlett
+Javier R. Movellan
+Institute for Neural Computation
+UC San Diego"

+95a9e256c8f8bbce0d86199cacea92b15004dd45,Using Semantic Similarity for Multi-Label Zero-Shot Classification of Text Documents,"Using Semantic Similarity for Multi-Label Zero-Shot
+Classification of Text Documents
+Jinseok Nam2,3
+Sappadla Prateek Veeranna1
+Johannes F¨urnkranz2 ∗
+Eneldo Loza Menc´ıa2
+- Birla Institute of Technology and Science - Pilani - India
+- Knowledge Engineering Group - TU Darmstadt - Germany
+- Knowledge Discovery in Scientific Literature - DIPF - Germany"

+9513503867b29b10223f17c86e47034371b6eb4f,Comparison of Optimisation Algorithms for Deformable Template Matching,"Comparison of optimisation algorithms for
+deformable template matching
+Vasileios Zografos
+Link¨oping University, Computer Vision Laboratory
+ISY, SE-581 83 Link¨oping, SWEDEN"

+95ed2269c4a13771cc8dfe0ff2d4d6a7f4d73033,Deep Learning for Domain Adaption: Engagement Recognition,"Engagement Recognition using Deep Learning and Facial Expression
+Omid Mohamad Nezami , Len Hamey , Deborah Richards , and Mark Dras
+Macquarie University, Sydney, NSW, Australia"

+956c634343e49319a5e3cba4f2bd2360bdcbc075,A novel incremental principal component analysis and its application for face recognition,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 36, NO. 4, AUGUST 2006
+A Novel Incremental Principal Component Analysis
+nd Its Application for Face Recognition
+Haitao Zhao, Pong Chi Yuen, Member, IEEE, and James T. Kwok, Member, IEEE"

+95a835cdb5dc46e4de071865f9dccdaf9ec944ad,Euclidean and geodesic distance between a facial feature points in two-dimensional face recognition system,"The International Arab Journal of Information Technology, Vol. 14, No. 4A, Special Issue 2017                                            565
+Euclidean and Geodesic Distance between a Facial
+Feature Points in Two-Dimensional Face
+Recognition System
+Rachid Ahdid1,2, Said Safi1, and Bouzid Manaut2
+Department of Mathematics and Informatics, Sultan Moulay Slimane University, Morocco
+Poladisciplinary Faculty, Sultan Moulay Slimane University, Morocco"

+95deb62b82ede5c6732c5c498d3f9452866eaba7,Unsupervised Video Understanding by Reconciliation of Posture Similarities,"Unsupervised Video Understanding by Reconciliation of Posture Similarities
+Timo Milbich, Miguel Bautista, Ekaterina Sutter, Bj¨orn Ommer
+Heidelberg Collaboratory for Image Processing
+IWR, Heidelberg University, Germany
+{timo.milbich, miguel.bautista, ekaterina.sutter,"

+951af0494e8812fdb7d578b68c342ab876acb27e,THÈSE DE DOCTORAT DE L’ÉCOLE NORMALE SUPÉRIEURE DE CACHAN présentée par JULIEN MAIRAL pour obtenir le grade de DOCTEUR DE L’ÉCOLE NORMALE,"THÈSEDEDOCTORATDEL’ÉCOLENORMALESUPÉRIEUREDECACHANprésentéeparJULIENMAIRALpourobtenirlegradedeDOCTEURDEL’ÉCOLENORMALESUPÉRIEUREDECACHANDomaine:MATHÉMATIQUESAPPLIQUÉESSujetdelathèse:Représentationsparcimonieusesenapprentissagestatistique,traitementd’imageetvisionparordinateur—Sparsecodingformachinelearning,imageprocessingandcomputervisionThèseprésentéeetsoutenueàCachanle30novembre2010devantlejurycomposéde:FrancisBACHDirecteurderecherche,INRIAParis-RocquencourtDirecteurdethèseStéphaneMALLATProfesseur,EcolePolytechnique,New-YorkUniversityRapporteurEricMOULINESProfesseur,Télécom-ParisTechExaminateurBrunoOLSHAUSENProfesseur,UniversityofCalifornia,BerkeleyRapporteurJeanPONCEProfesseur,EcoleNormaleSupérieure,ParisDirecteurdethèseGuillermoSAPIROProfesseur,UniversityofMinnesotaExaminateurJean-PhilippeVERTDirecteurderecherche,EcolesdesMines-ParisTechExaminateurThèsepréparéeauseindel’équipeWillowdulaboratored’informatiquedel’ÉcoleNormaleSupérieure,Paris.(INRIA/ENS/CNRSUMR8548).23avenued’Italie,75214Paris."

+95ea564bd983129ddb5535a6741e72bb1162c779,Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection,"Multi-Task Learning by Deep Collaboration and
+Application in Facial Landmark Detection
+Ludovic Trottier
+Philippe Giguère
+Brahim Chaib-draa
+Laval University, Québec, Canada"

+9561c7ef4f89019eb7fb779a7b18ef810964b491,Real-Time Object Segmentation Using a Bag of Features Approach,"Real-Time Object Segmentation Using a
+Bag of Features Approach
+David ALDAVERT a,1, Arnau RAMISA c,b, Ramon LOPEZ DE MANTARAS b and
+Ricardo TOLEDO a
+Computer Vision Center, Dept. Ciencies de la Computació, Universitat Autonòma de
+Barcelona, Catalunya, Spain
+Institut d’Investigació d’Inteligencia Artificial (IIIA-CSIC), Campus UAB, Catalunya,
+Spain
+INRIA-Grenoble, LEAR Team, France"

+95029b1041a169e5b4e1ad79f60bfedb7a6844d0,Learning Superpixels with Segmentation-Aware Affinity Loss,"Learning Superpixels with Segmentation-Aware Affinity Loss
+Wei-Chih Tu1 Ming-Yu Liu2 Varun Jampani2 Deqing Sun2 Shao-Yi Chien1 Ming-Hsuan Yang2
+Jan Kautz2
+National Taiwan University 2NVIDIA 3UC Merced"

+958c599a6f01678513849637bec5dc5dba592394,Generalized Zero-Shot Learning for Action Recognition with Web-Scale Video Data,"Noname manuscript No.
+(will be inserted by the editor)
+Generalized Zero-Shot Learning for Action
+Recognition with Web-Scale Video Data
+Kun Liu · Wu Liu · Huadong Ma ·
+Wenbing Huang · Xiongxiong Dong
+Received: date / Accepted: date"

+950cfcbaafad1e2aaae43728fe499d8a4c90f6ec,Object Instance Detection and Dynamics Modeling in a Long-Term Mobile Robot Context,"Object Instance Detection and Dynamics Modeling in
+Long-Term Mobile Robot Context
+NILS BORE
+Doctoral Thesis
+Stockholm, Sweden 2017"

+955dc25def91eff6bfa5698249bb189ccfa83367,Geometric Model for Human Body Orientation Classification,"CommIT (Communication and Information Technology) Journal, Vol. 9 No. 1, pp. 29–33
+GEOMETRIC MODEL FOR HUMAN
+BODY ORIENTATION CLASSIFICATION
+Igi Ardiyanto
+Department of Electrical Engineering and Information Technology,
+Faculty of Engineering, Gadjah Mada University
+Yogyakarta 55281, Indonesia
+Email:"

+95aa80cf672771730393e1d7d263ab6f6d6e535d,Learning articulated body models for people re-identification,"Learning Articulated Body Models
+for People Re-identification
+Davide Baltieri, Roberto Vezzani, Rita Cucchiara
+University of Modena and Reggio Emilia
+Via Vignolese 905, 41125 Modena - Italy
+{davide.baltieri, roberto.vezzani,"

+59b11427853b7892a9f0d8ab6683d96ce59c2ff2,A Multi-Face Challenging Dataset for Robust Face Recognition,"A Multi-Face Challenging Dataset for Robust Face Recognition
+Shiv Ram Dubey and Snehasis Mukherjee"

+59fc69b3bc4759eef1347161e1248e886702f8f7,Final Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition,"Final Report of Final Year Project
+HKU-Face: A Large Scale Dataset for
+Deep Face Recognition
+Haoyu Li
+035141841
+COMP4801 Final Year Project
+Project Code: 17007"

+59bdd317abe8d87fb525eb4e3197a9311e2766e7,Demystifying Unsupervised Feature Learning 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,"DEMYSTIFYING UNSUPERVISED FEATURE LEARNING
+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
+Adam Coates
+September 2012"

+59ef1efb9239a101c2782fab8adc09b7af07d336,Cross-Domain Image Matching with Deep Feature Maps,"Cross-Domain Image Matching with Deep Feature Maps
+Bailey Kong · James Supan˘ci˘c, III · Deva Ramanan · Charless C.
+Fowlkes
+Received: date / Accepted: date"

+59b71e19819c1c6aee98020b34bf92e605f33819,Max-min convolutional neural networks for image classification,"MAX-MIN CONVOLUTIONAL NEURAL NETWORKS FOR IMAGE CLASSIFICATION
+Michael Blot, Matthieu Cord, Nicolas Thome
+Sorbonne Universit´es, UPMC Univ Paris 06, CNRS, LIP6 UMR 7606, 4 place Jussieu 75005 Paris"

+59cca46a0442fc6bd0525e5f13cef5b5a9747d34,Cross-Domain Shoe Retrieval With a Semantic Hierarchy of Attribute Classification Network,"Cross-Domain Shoe Retrieval With a Semantic
+Hierarchy of Attribute Classification Network
+Huijing Zhan, Student Member, IEEE, Boxin Shi, Member, IEEE, and Alex C. Kot, Fellow, IEEE"

+59bfeac0635d3f1f4891106ae0262b81841b06e4,Face Verification Using the LARK Face Representation,"Face Verification Using the LARK Face
+Representation
+Hae Jong Seo, Student Member, IEEE, Peyman Milanfar, Fellow, IEEE,"

+59efb1ac77c59abc8613830787d767100387c680,DIF : Dataset of Intoxicated Faces for Drunk Person Identification,"DIF : Dataset of Intoxicated Faces for Drunk Person
+Identification
+Devendra Pratap Yadav
+Indian Institute of Technology Ropar
+Abhinav Dhall
+Indian Institute of Technology Ropar"

+59b21f61ac46e1f982cbd9f49cb855ba5fcd3c45,CCNY at TRECVID 2014: Surveillance Event Detection,"CCNY at TRECVID 2014: Surveillance Event Detection
+Yang Xian, Xuejian Rong, Xiaodong Yang, and Yingli Tian
+Graduate Center and City College
+City University of New York
+{xrong, xyang02,"

+59f8d0e79eb02c30a5f872038129c4b5dd9bc73a,Design of a Face Recognition System for Security Control,"International Conference on African Development Issues (CU-ICADI) 2015: Information and Communication Teclmology Track
+Design of a Face Recognition System for Security
+Control
+Ambrose A. Azeta, Nicholas A.  Omoregbe, Adewole Adewumi, Dolapo Oguntade
+Department of Computer and Information Sciences,
+Covenant University,
+Ota, Ogun-State, Nigeria"

+598f330fc061852162f2aaaf59ea9a3a55d3f6f7,A new strategy based on spatiogram similarity association for multi-pedestrian tracking,"A NEW STRATEGY BASED ON SPATIOGRAM
+SIMILARITY ASSOCIATION FOR
+MULTI-PEDESTRIAN TRACKING
+Nabila MANSOURI1 5, Yousra BEN JEMAA2, Cina MOTAMED 3, Antonio PINTI 4 and Eric WATELAIN1 6
+University of Lille North of France, UVHC, LAMIH laboratory
+e-mail:
+University of Sfax-Tunisie, U2S laboratory
+e-mail:
+University of Lille North of France, ULCO, LISIC laboratory
+e-mail:
+University of Orleans -France, I3MTO laboratory
+e-mail:
+5 University of Sfax-Tunisie, ReDCAD laboratory
+6 University of south Toulon-Var, HandiBio laboratory"

+595d0fe1c259c02069075d8c687210211908c3ed,A Survey on Learning to Hash,"A Survey on Learning to Hash
+Jingdong Wang, Ting Zhang, Jingkuan Song, Nicu Sebe, and Heng Tao Shen"

+5921d9a8e143b6d82a2722d9ee27bafa363475f0,Driving Policy Transfer via Modularity and Abstraction,

+599b7e1b4460c8ad77def2330ec76a2e0dfedb84,Robust Subspace Clustering via Smoothed Rank Approximation,"Robust Subspace Clustering via Smoothed Rank
+Approximation
+Zhao Kang, Chong Peng, and Qiang Cheng∗"

+59eefa01c067a33a0b9bad31c882e2710748ea24,Fast Landmark Localization with 3D Component Reconstruction and CNN for Cross-Pose Recognition,"IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
+Fast Landmark Localization
+with 3D Component Reconstruction and CNN for
+Cross-Pose Recognition
+Gee-Sern (Jison) Hsu, Hung-Cheng Shie, Cheng-Hua Hsieh"

+59e266adc3525b4325156f0cc0052c1d76b1c9ae,Contextual Spatial Analysis and Processing for Visual Surveillance Applications,"Contextual Spatial Analysis and Processing
+for Visual Surveillance Applications
+Vikas Reddy
+A thesis submitted for the degree of Doctor of Philosophy at
+The University of Queensland in September 2011
+(revised in March 2012)
+School of Information Technology and Electrical Engineering"

+5911dcef05ffec02cc1dd88ec6feb1f1e0e8bdcb,Happy Companion: A System of Multimodal Human-Computer Affective Interaction,"Happy Companion: A System of Multimodal Human-Computer
+Affective Interaction
+Jia Jia1,2,3, Lianhong Cai1,2,3, Sirui Wang4, Xiaolan Fu4
+State Key Laboratory on Intelligent Technology and Systems"

+5955bb0325ec4dd3b56759aeb96cc9c18b09bf3e,Self-Supervised Depth Learning Improves Semantic Segmentation,"Self-Supervised Depth Learning Improves Semantic Segmentation
+Huaizu Jiang, Erik Learned-Miller
+Univ. of Massachusetts, Amherst
+Amherst MA 01003
+. Introduction
+How does a newborn agent learn about the world?
+When an animal (or robot) moves, its visual system is
+exposed to a shower of information. Usually, the speed
+with which something moves in the image is inversely
+proportional to its depth.1 As an agent continues to
+experience visual stimuli under its own motion, it is
+natural for it to form associations between the appear-
+nce of objects and their relative motion in the image.
+For example, an agent may learn that objects that look
+like mountains typically don’t move in the image (or
+hange appearance much) as the agent moves. Objects
+like nearby cars and people, however, appear to move
+rapidly in the image as the agent changes position rel-
+tive to them. This continuous pairing of images with
+motion acts as a kind of “automatic” supervision that"

+591bd78a06814e75cae7cdef50ad91cf22e66c23,3D face recognition based on evolution of iso-geodesic distance curves,"978-1-4244-4296-6/10/$25.00 ©2010 IEEE
+ICASSP 2010"

+59d225486161b43b7bf6919b4a4b4113eb50f039,Complex Event Recognition from Images with Few Training Examples,"Complex Event Recognition from Images with Few Training Examples
+Unaiza Ahsan∗
+Chen Sun∗∗
+James Hays∗
+Irfan Essa∗
+*Georgia Institute of Technology
+**University of Southern California1"

+59945763707557baace208253c029265b4b6e0a9,Face Recognition under Partial Occlusion and Small Dense Noise a Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Technology,"FACE RECOGNITION UNDER PARTIAL
+OCCLUSION AND SMALL DENSE NOISE
+A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE
+REQUIREMENTS FOR THE DEGREE OF
+MASTER OF TECHNOLOGY
+ELECTRONIC SYSTEMS AND COMMUNICATIONS
+ROHIT KUMAR
+ROLL NO. -212EE1210
+Department of Electrical Engineering
+National Institute of Technology, Rourkela-769008
+| P a g e"

+5945464d47549e8dcaec37ad41471aa70001907f,Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos,"Noname manuscript No.
+(will be inserted by the editor)
+Every Moment Counts: Dense Detailed Labeling of Actions in Complex
+Videos
+Serena Yeung · Olga Russakovsky · Ning Jin · Mykhaylo Andriluka · Greg Mori ·
+Li Fei-Fei
+Received: date / Accepted: date"

+59c9d416f7b3d33141cc94567925a447d0662d80,Matrix factorization over max-times algebra for data mining,"Universität des Saarlandes
+Max-Planck-Institut für Informatik
+Matrix factorization over max-times
+lgebra for data mining
+Masterarbeit im Fach Informatik
+Master’s Thesis in Computer Science
+von / by
+Sanjar Karaev
+ngefertigt unter der Leitung von / supervised by
+Dr. Pauli Miettinen
+egutachtet von / reviewers
+Dr. Pauli Miettinen
+Prof. Gerhard Weikum
+November 2013
+UNIVERSITASSARAVIENSIS"

+59a35b63cf845ebf0ba31c290423e24eb822d245,The FaceSketchID System: Matching Facial Composites to Mugshots,"The FaceSketchID System: Matching Facial
+Composites to Mugshots
+Scott J. Klum, Student Member, IEEE, Hu Han, Member, IEEE, Brendan F. Klare, Member, IEEE,
+nd Anil K. Jain, Fellow, IEEE
+tedious, and may not"

+598ccf73ba504a31d65b50c7ede8982c3b1d9192,Learning a Family of Detectors,"LEARNING A FAMILY OF DETECTORS
+QUAN YUAN
+Dissertation submitted in partial fulfillment
+of the requirements for the degree of
+Doctor of Philosophy
+BOSTON
+UNIVERSITY"

+59f325e63f21b95d2b4e2700c461f0136aecc171,Kernel sparse representation with local patterns for face recognition,"978-1-4577-1302-6/11/$26.00 ©2011 IEEE
+FOR FACE RECOGNITION
+. INTRODUCTION"

+59b202ccc01bae85a88ad0699da7a8ae6aa50fef,"Looking at Vehicles on the Road: A Survey of Vision-Based Vehicle Detection, Tracking, and Behavior Analysis","Looking at Vehicles on the Road: A Survey of
+Vision-Based Vehicle Detection, Tracking,
+nd Behavior Analysis
+Sayanan Sivaraman, Member, IEEE, and Mohan Manubhai Trivedi, Fellow, IEEE"

+590065c40574dc797e5aeb380d6e6dab79fad6e5,Face Detection Using Boosted Jaccard Distance-based Regression,"FACE DETECTION USING BOOSTED
+JACCARD DISTANCE-BASED REGRESSION
+Cosmin Atanasoaei        Chris McCool
+Sébastien Marcel
+Idiap-RR-02-2012
+JANUARY 2012
+Centre du Parc, Rue Marconi 19, P.O. Box 592, CH - 1920 Martigny
+T +41 27 721 77 11  F +41 27 721 77 12   www.idiap.ch"

+590a52702bdf7f9522cff02f477de1fa98fc2ff3,"Visual tracking of hands, faces and facial features of multiple persons","DOI 10.1007/s00138-012-0409-5
+ORIGINAL PAPER
+Visual tracking of hands, faces and facial features
+of multiple persons
+Haris Baltzakis · Maria Pateraki · Panos Trahanias
+Received: 17 November 2010 / Revised: 9 December 2011 / Accepted: 18 January 2012
+© Springer-Verlag 2012"

+590c277e8ca10f2c2d7e32eb4a9dc61078a67b96,Statistical Approaches to Face Recognition a Qualifying Examination Report,"StatisticalApproachesTo
+FaceRecognition
+AQualifyingExaminationReport
+AraV.Ne(cid:12)an
+PresentedtotheQualifyingExaminationCommittee
+InPartialFul(cid:12)llmentoftheRequirementsforthe
+DegreeofDoctorofPhilosophyinElectricalEngineering
+Dr.AlbinJ.Gasiewski
+Dr.Je(cid:11)Geronimo
+Dr.MonsonH.HayesIII
+Dr.RussellM.Mersereau
+Dr.RonaldW.Schafer
+GeorgiaInstituteofTechnology
+SchoolofElectricalEngineering
+December,
		"

+59031a35b0727925f8c47c3b2194224323489d68,Sparse Variation Dictionary Learning for Face Recognition with a Single Training Sample per Person,"Sparse Variation Dictionary Learning for Face Recognition with A Single
+Training Sample Per Person
+Meng Yang, Luc Van Gool
+ETH Zurich
+Switzerland"

+59ee327192c270fc727c5f6d2ef90058ed072b14,Motion Models for People Tracking,"Motion Models for People Tracking
+David J. Fleet"

+926c67a611824bc5ba67db11db9c05626e79de96,Enhancing Bilinear Subspace Learning by Element Rearrangement,"Enhancing Bilinear Subspace Learning
+y Element Rearrangement
+Dong Xu, Shuicheng Yan, Stephen Lin,
+Thomas S. Huang, and
+Shih-Fu Chang"

+923412acb90ed2acbb29290147a567f39d2dfc95,FACSGen: A Tool to Synthesize Emotional Facial Expressions Through Systematic Manipulation of Facial Action Units,"J Nonverbal Behav
+DOI 10.1007/s10919-010-0095-9
+O R I G I N A L P A P E R
+FACSGen: A Tool to Synthesize Emotional Facial
+Expressions Through Systematic Manipulation of Facial
+Action Units
+Etienne B. Roesch • Lucas Tamarit •
+Lionel Reveret • Didier Grandjean •
+David Sander • Klaus R. Scherer
+Ó Springer Science+Business Media, LLC 2010"

+923ede53b0842619831e94c7150e0fc4104e62f7,Masked correlation filters for partially occluded face recognition,"978-1-4799-9988-0/16/$31.00 ©2016 IEEE
+ICASSP 2016"

+92b61b09d2eed4937058d0f9494d9efeddc39002,BoxCars: Improving Vehicle Fine-Grained Recognition using 3D Bounding Boxes in Traffic Surveillance,"Under review in IJCV manuscript No.
+(will be inserted by the editor)
+BoxCars: Improving Vehicle Fine-Grained Recognition using
+D Bounding Boxes in Traf‌f‌ic Surveillance
+Jakub Sochor · Jakub ˇSpaˇnhel · Adam Herout
+Received: date / Accepted: date"

+923e9b437a55853120f1778f55fcd956d81260f8,Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object Detection,"Noname manuscript No.
+(will be inserted by the editor)
+Zoom Out-and-In Network with Map Attention Decision
+for Region Proposal and Object Detection
+Hongyang Li · Yu Liu · Wanli Ouyang · Xiaogang Wang
+Received: date / Accepted: date"

+92020e6540fe9feb38616334645a0ba28dcac69d,Face Recognition Based on Local Derivative Tetra Pattern,"ISSN: 0976-9102 (ONLINE)
+ICTACT JOURNAL ON IMAGE AND VIDEO PROCESSING, FEBRUARY 2017, VOLUME: 07, ISSUE: 03
+FACE RECOGNITION BASED ON LOCAL DERIVATIVE TETRA PATTERN
+A. Geetha1, M. Mohamed Sathik2 and Y. Jacob Vetharaj3
+Department of Computer Applications, Nesamony Memorial Christian College, India
+Department of Computer Science, Sadakathullah Appa College, India
+Department of Computer Science, Nesamony Memorial Christian College, India"

+92b748f2629b3227a9c56bc9e580f45eb5bdfba5,Novel Adaptive Eye Detection and Tracking for Challenging Lighting Conditions,"Version
+This is the Accepted Manuscript version. This version is defined in the NISO
+recommended practice RP-8-2008 http://www.niso.org/publications/rp/
+Suggested Reference
+Rezaei, M., & Klette, R. (2013). Novel Adaptive Eye Detection and Tracking for
+Challenging Lighting Conditions. In Lecture Notes in Computer Science Vol. 7729
+(pp. 427-440). Daejeon, Korea: Springer Berlin Heidelberg.
+The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-
+642-37484-5_35
+Copyright
+Items in ResearchSpace are protected by copyright, with all rights reserved, unless
+otherwise indicated. Previously published items are made available in accordance
+with the copyright policy of the publisher.
+http://www.sherpa.ac.uk/romeo/issn/0302-9743/
+https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm"

+920a92900fbff22fdaaef4b128ca3ca8e8d54c3e,Learning Pattern Transformation Manifolds with Parametric Atom Selection,"LEARNING PATTERN TRANSFORMATION MANIFOLDS WITH PARAMETRIC ATOM
+SELECTION
+Elif Vural and Pascal Frossard
+Ecole Polytechnique F´ed´erale de Lausanne (EPFL)
+Signal Processing Laboratory (LTS4)
+Switzerland-1015 Lausanne"

+9207671d9e2b668c065e06d9f58f597601039e5e,Face Detection Using a 3D Model on Face Keypoints,"Face Detection Using a 3D Model on
+Face Keypoints
+Adrian Barbu, Gary Gramajo"

+9282239846d79a29392aa71fc24880651826af72,Classification of extreme facial events in sign language videos,"Antonakos et al. EURASIP Journal on Image and Video Processing 2014, 2014:14
+http://jivp.eurasipjournals.com/content/2014/1/14
+RESEARCH
+Open Access
+Classification of extreme facial events in sign
+language videos
+Epameinondas Antonakos1,2*, Vassilis Pitsikalis1 and Petros Maragos1"

+92115b620c7f653c847f43b6c4ff0470c8e55dab,Training Deformable Object Models for Human Detection Based on Alignment and Clustering,"Training Deformable Object Models for Human
+Detection Based on Alignment and Clustering
+Benjamin Drayer and Thomas Brox
+Department of Computer Science,
+Centre of Biological Signalling Studies (BIOSS),
+University of Freiburg, Germany"

+927ac98da38db528b780f14996bb02b05009c9cc,Hand pose estimation through semi-supervised and weakly-supervised learning,"Hand Pose Estimation through Semi-Supervised and Weakly-Supervised Learning
+Natalia Neverovaa,∗, Christian Wolfa, Florian Neboutb, Graham W. Taylorc
+Universit´e de Lyon, INSA-Lyon, CNRS, LIRIS, F-69621, France
+Awabot SAS, France
+School of Engineering, University of Guelph, Canada"

+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
+On color texture normalization for active appearance models
+Author(s)
+Ionita, Mircea C.; Corcoran, Peter M.; Buzuloiu, Vasile
+Publication
+009-05-12
+Publication
+Information
+Ionita, M. C., Corcoran, P., & Buzuloiu, V. (2009). On Color
+Texture Normalization for Active Appearance Models. Image
+Processing, IEEE Transactions on, 18(6), 1372-1378.
+Publisher
+Link to
+publisher's
+version
+http://dx.doi.org/10.1109/TIP.2009.2017163
+Item record
+http://hdl.handle.net/10379/1350"

+92679c8cff92442f39de3405c21c8028162fe56a,Temporal 3 D ConvNets using Temporal Transition Layer,"Temporal 3D ConvNets using Temporal Transition Layer
+Ali Diba1
+, Mohsen Fayyaz2, Vivek Sharma3, A.Hossein Karami4, M.Mahdi Arzani4,
+Rahman Yousefzadeh4, Luc Van Gool1
+ESAT-PSI, KU Leuven, 2University of Bonn, 3CV:HCI, KIT, Karlsruhe, 4Sensifai"

+92373095869f1b9e93823f0bd16bb8527c1665dc,How face blurring affects body language processing of static gestures in women and men,"Social Cognitive and Affective Neuroscience, 2018, 590–603
+doi: 10.1093/scan/nsy033
+Advance Access Publication Date: 14 May 2018
+Original article
+How face blurring affects body language processing
+of static gestures in women and men
+Alice Mado Proverbio, Laura Ornaghi, and Veronica Gabaro
+Department of Psychology, Neuro-MI Center for Neuroscience, University of Milano-Bicocca, Milano, Italy
+Correspondence should be addressed to Alice Mado Proverbio, Department of Psychology, University of Milano-Bicocca, piazza dell’Ateneo Nuovo 1, U6
+Building, Milano, Italy. E-mail:"

+92a93693f43a49a7b320d5771c6afaff98b27864,Audio-visual signal processing in a multimodal assisted living environment,"INTERSPEECH 2014
+Audio-Visual Signal Processing in a Multimodal Assisted Living Environment
+Alexey Karpov 1,5, Lale Akarun 2, Hülya Yalçın 3, Alexander Ronzhin 1, Barış Evrim Demiröz 2,
+Aysun Çoban 2 and Miloš Železný 4
+St. Petersburg Institute for Informatics and Automation of Russian Academy of Sciences, Russia
+Boğaziçi University, İstanbul, Turkey
+İstanbul Technical University, İstanbul, Turkey
+University of West Bohemia, Pilsen, Czech Republic
+5 University ITMO, St. Petersburg, Russia"

+927ba64123bd4a8a31163956b3d1765eb61e4426,Customer satisfaction measuring based on the most significant facial emotion,"Customer satisfaction measuring based on the most
+significant facial emotion
+Mariem Slim, Rostom Kachouri, Ahmed Atitallah
+To cite this version:
+Mariem Slim, Rostom Kachouri, Ahmed Atitallah. Customer satisfaction measuring based on the
+most significant facial emotion. 15th IEEE International Multi-Conference on Systems, Signals
+Devices (SSD 2018), Mar 2018, Hammamet, Tunisia. <hal-01790317>
+HAL Id: hal-01790317
+https://hal-upec-upem.archives-ouvertes.fr/hal-01790317
+Submitted on 11 May 2018
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+92f0e02c9f4e95098452d0fd78ba46cd6e7b1f6d,Dynamic machine learning for supervised and unsupervised classification. (Apprentissage automatique dynamique pour la classification supervisée et non supervisée),"Dynamic machine learning for supervised and
+unsupervised classification
+Adela-Maria Sîrbu
+To cite this version:
+Adela-Maria Sîrbu. Dynamic machine learning for supervised and unsupervised classification. Machine
+Learning [cs.LG]. INSA de Rouen, 2016. English. <NNT : 2016ISAM0002>. <tel-01402052>
+HAL Id: tel-01402052
+https://tel.archives-ouvertes.fr/tel-01402052
+Submitted on 24 Nov 2016
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de
+recherche français ou étrangers, des laboratoires"

+9263ca6211ec39469f0daa8790ccaecbd5898423,Exploring Models and Data for Remote Sensing Image Caption Generation,"Exploring Models and Data for
+Remote Sensing Image Caption Generation
+Xiaoqiang Lu, Senior Member, IEEE, Binqiang Wang, Xiangtao Zheng, and Xuelong Li, Fellow, IEEE"

+927ad0dceacce2bb482b96f42f2fe2ad1873f37a,Interest-Point based Face Recognition System,"Interest-Point based Face Recognition System
+Interest-Point based Face Recognition System
+Cesar Fernandez and Maria Asuncion Vicente
+Miguel Hernandez University
+Spain
+. Introduction
+Among  all  applications  of  face  recognition  systems,  surveillance  is  one  of  the  most
+hallenging ones. In such an application, the goal is to detect known criminals in crowded
+environments, like airports or train stations. Some attempts have been made, like those of
+Tokio (Engadget, 2006) or Mainz (Deutsche Welle, 2006), with limited success.
+The first task to be carried out in an automatic surveillance system involves the detection of
+ll the faces in the images taken by the video cameras. Current face detection algorithms are
+highly reliable and thus, they will not be the focus of our work. Some of the best performing
+examples are the Viola-Jones algorithm (Viola & Jones, 2004) or the Schneiderman-Kanade
+lgorithm (Schneiderman & Kanade, 2000).
+The second task to be carried out involves the comparison of all detected faces among the
+database of known criminals. The ideal behaviour of an automatic system performing this
+task  would  be  to  get  a  100%  correct  identification  rate,  but  this  behaviour  is  far  from  the
+apabilities  of  current  face  recognition  algorithms.  Assuming  that  there  will  be  false
+identifications,  supervised  surveillance  systems  seem  to  be  the  most  realistic  option:  the"

+92a044df6c37571aac25756252dda27676492bb5,Implementation of Real-time System on Fpga Board for Human's Face Detection and Tracking Author Mohd,"IMPLEMENTATION OF REAL-TIME SYSTEM ON FPGA BOARD FOR HUMAN'S
+FACE DETECTION AND TRACKING AUTHOR
+MOHD NORHAFIZ HASHIM
+A project report submitted in partial
+Fulfillment of the requirement for the award of the
+Degree of Master Electrical Engineering
+Fakulti Kejuruteraan Elektrik dan Elektronik
+Universiti Tun Hussein Onn Malaysia
+JANUARY 2014"

+921aaac9b33ec6a417bfc8bb0e21e11e743342c2,Image enhancement for improving face detection under non-uniform lighting conditions,"978-1-4244-1764-3/08/$25.00 ©2008 IEEE
+ICIP 2008"

+929bd1d11d4f9cbc638779fbaf958f0efb82e603,"Improving the Performance of Facial Expression Recognition Using Dynamic, Subtle and Regional Features","This is the author’s version of a work that was submitted/accepted for pub-
+lication in the following source:
+Zhang, Ligang & Tjondronegoro, Dian W. (2010) Improving the perfor-
+mance of facial expression recognition using dynamic, subtle and regional
+features.
+In Kok, WaiWong, B. Sumudu, U. Mendis, & Abdesselam ,
+Bouzerdoum (Eds.) Neural Information Processing. Models and Applica-
+tions, Lecture Notes in Computer Science, Sydney, N.S.W, pp. 582-589.
+This file was downloaded from: http://eprints.qut.edu.au/43788/
+(cid:13) Copyright 2010 Springer-Verlag
+Conference proceedings published, by Springer Verlag, will be available
+via Lecture Notes in Computer Science http://www.springer.de/comp/lncs/
+Notice: Changes introduced as a result of publishing processes such as
+opy-editing and formatting may not be reflected in this document. For a
+definitive version of this work, please refer to the published source:
+http://dx.doi.org/10.1007/978-3-642-17534-3_72"

+92980965514210b4f6dd074d122078d54684f724,Track Everything: Limiting Prior Knowledge in Online Multi-Object Recognition,"Track Everything: Limiting Prior Knowledge in
+Online Multi-Object Recognition
+Sebastien C. Wong∗, Senior Member, IEEE, Victor Stamatescu†, Member, IEEE, Adam Gatt‡, Member, IEEE,
+David Kearney†, Ivan Lee† Senior Member, IEEE and Mark D. McDonnell†, Senior Member, IEEE ∗ Defence
+Science and Technology Group, Edinburgh, SA, Australia † Computational Learning Systems Laboratory, School
+of Information Technology and Mathematical Sciences, University of South Australia, Mawson Lakes, SA,
+Australia ‡ Australian Defence Force, Edinburgh, SA, Australia
+An important practical consideration in the design of online
+object recognition systems is the finite amount of labeled and
+nnotated data available for training. When scarce, this can de-
+grade classification performance due to overfitting and reduce
+the detection probability of highly tuned object detectors. Even
+when larger data sets are available, these may be biased in such
+way that their image statistics do not accurately reflect the
+data encountered by the system at run time [2]. In the case
+of classifier-based object recognition [3] and detection [4], the
+use of features, which are higher-level representations of an
+object than the raw image, can mitigate these problems by
+providing a degree of invariance across different data sets.
+In the case of tracking and object detection algorithms, the"

+926ca7ce14332f9f848c28565d0f2f9a2d1e35a8,Impaired facial and vocal emotion decoding in schizophrenia is underpinned by basic perceptivo-motor deficits,"Cognitive Neuropsychiatry
+ISSN: 1354-6805 (Print) 1464-0619 (Online) Journal homepage: http://www.tandfonline.com/loi/pcnp20
+Impaired facial and vocal emotion decoding in
+schizophrenia is underpinned by basic perceptivo-
+motor deficits
+C. Mangelinckx, J. B. Belge, P. Maurage & E. Constant
+To cite this article: C. Mangelinckx, J. B. Belge, P. Maurage & E. Constant (2017): Impaired facial
+nd vocal emotion decoding in schizophrenia is underpinned by basic perceptivo-motor deficits,
+Cognitive Neuropsychiatry, DOI: 10.1080/13546805.2017.1382342
+To link to this article:  http://dx.doi.org/10.1080/13546805.2017.1382342
+Published online: 03 Oct 2017.
+Submit your article to this journal
+View related articles
+View Crossmark data
+Full Terms & Conditions of access and use can be found at
+http://www.tandfonline.com/action/journalInformation?journalCode=pcnp20
+Download by: [University of Virginia, Charlottesville]
+Date: 06 October 2017, At: 09:26"

+0cb7e4c2f6355c73bfc8e6d5cdfad26f3fde0baf,F Acial E Xpression R Ecognition Based on Wapa and Oepa F Ast Ica,"International Journal of Artificial Intelligence & Applications (IJAIA), Vol. 5, No. 3, May 2014
+FACIAL EXPRESSION RECOGNITION BASED ON
+WAPA AND OEPA FASTICA
+Humayra Binte Ali1 and David M W Powers2
+Computer Science, Engineering and Mathematics School, Flinders University, Australia
+Computer Science, Engineering and Mathematics School, Flinders University, Australia"

+0c5a2bb5d1a1e9bb332207be61e13d0afb8f278c,A Supervised Learning Methodology for Real-Time Disguised Face Recognition in the Wild,"A Supervised Learning Methodology for Real-Time Disguised Face
+Recognition in the Wild
+Saumya Kumaar3, Abhinandan Dogra4, Abrar Majeedi4, Hanan Gani4, Ravi M. Vishwanath2 and S N Omkar1"

+0c24ccc6d6c386a8d555a81166eaf6e8d4dfccc3,Person count localization in videos from noisy foreground and detections,"Person Count Localization in Videos from Noisy Foreground and Detections
+Sheng Chen1, Alan Fern1, Sinisa Todorovic1
+Oregon State University.
+In this paper, we introduce a new problem, person count localization from
+noisy foreground and person detections. Our formulation strikes a middle-
+ground between person detection and frame-level counting. Given a video,
+our goal is to output for each frame a set of:
+. Detections optimally covering both isolated individuals and crowds
+of people in the video; and
+. Counts assigned to each detection indicating the number of people
+inside.
+The problem of detecting people in videos of crowded scenes, where
+people frequently appear under severe occlusion by other people in the
+rowd is an important line of research, since detecting people in video frames
+has become the standard initial step of many approaches to activity recogni-
+tion [1, 3, 4], and multi-object tracking by detection [6, 8, 9]. They typically
+use as input human appearance, pose, and orientation, and thus critically
+depend on robust person detections. In many domains, however, such as
+videos of American football or public spaces crowded with pedestrians, de-
+tecting every individual person is highly unreliable, and remains an open"

+0c8a0a81481ceb304bd7796e12f5d5fa869ee448,A Spatial Regularization of LDA for Face Recognition,"International Journal of Fuzzy Logic and Intelligent Systems, vol. 10, no. 2, June 2010, pp. 95-100
+A Spatial Regularization of LDA for Face Recognition
+Lae-Jeong Park
+Department of Electronics Engineering, Gangnung-Wonju National University
+23 Chibyun-Dong, Kangnung, 210-702, Korea
+Tel : +82-33-640-2389, Fax : +82-33-646-0740, E-mail :"

+0c36c988acc9ec239953ff1b3931799af388ef70,Face Detection Using Improved Faster RCNN,"Face Detection Using Improved Faster RCNN
+Changzheng Zhang, Xiang Xu, Dandan Tu*
+Huawei Cloud BU, China
+{zhangzhangzheng, xuxiang12,
+Figure1.Face detection results of FDNet1.0"

+0c5ddfa02982dcad47704888b271997c4de0674b,Model-driven and Data-driven Approaches for some Object Recognition Problems,

+0c069a870367b54dd06d0da63b1e3a900a257298,Weakly Supervised Learning of Foreground-Background Segmentation Using Masked RBMs,"Author manuscript, published in ""ICANN 2011 - International Conference on Artificial Neural Networks (2011)"""

+0c75c7c54eec85e962b1720755381cdca3f57dfb,Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model,"Face Landmark Fitting via Optimized Part
+Mixtures and Cascaded Deformable Model
+Xiang Yu, Member, IEEE, Junzhou Huang, Member, IEEE,
+Shaoting Zhang, Senior Member, IEEE, and Dimitris N. Metaxas, Fellow, IEEE"

+0c769c19d894e0dbd6eb314781dc1db3c626df57,Joint Detection and Identification Feature Learning for Person Search,"Joint Detection and Identification Feature Learning for Person Search
+Tong Xiao1∗ Shuang Li1∗ Bochao Wang2 Liang Lin2 Xiaogang Wang1
+The Chinese University of Hong Kong 2Sun Yat-Sen University"

+0cdac46ec42be2d81f64ec4ee53d88be43290d52,Temporal Poselets for Collective Activity Detection and Recognition,"Temporal Poselets for Collective Activity Detection and Recognition
+Moin Nabi
+Alessio Del Bue
+Vittorio Murino
+Pattern Analysis and Computer Vision (PAVIS)
+Istituto Italiano di Tecnologia (IIT)
+Via Morego 30, Genova, Italy"

+0c3c469e46668ea2c38a6de610d675975f337522,Self-tuned Visual Subclass Learning with Shared Samples An Incremental Approach,"Self-tuned Visual Subclass Learning with Shared Samples
+An Incremental Approach
+Updated ICCV 2013 Submission
+Hossein Azizpour
+Royal Insitute of Technology(KTH)
+Stefan Carlsson
+Royal Insitute of Technology(KTH)"

+0c95ff762bdf6a20609f49f1eb5248de3f748866,Fine-Grained Walking Activity Recognition via Driving Recorder Dataset,"Fine-grained Walking Activity Recognition
+via Driving Recorder Dataset
+Hirokatsu Kataoka (AIST), Yoshimitsu Aoki (Keio Univ.), Yutaka Satoh (AIST)
+Shoko Oikawa (NTSEL), Yasuhiro Matsui (NTSEL)
+Email:
+http://hirokatsukataoka.net/"

+0ca96dc1557032ff9259562a5b8fc026334997a6,Spectral Graph-Based Method of Multimodal Word Embedding,"Proceedings of TextGraphs-11: the Workshop on Graph-based Methods for Natural Language Processing, ACL 2017, pages 39–44,
+Vancouver, Canada, August 3, 2017. c(cid:13)2017 Association for Computational Linguistics"

+0c049cc7320f9b92f91210ab6961aa6644c867cd,Delving Deep Into Coarse-to-Fine Framework for Facial Landmark Localization,"Delving Deep into Coarse-to-fine Framework
+for Facial Landmark Localization
+Xi Chen, Erjin Zhou, Yuchen Mo, Jiancheng Liu, Zhimin Cao
+Megvii Research
+{chenxi, zej, moyuchen, liujiancheng,"

+0ca36ecaf4015ca4095e07f0302d28a5d9424254,Improving Bag-of-Visual-Words Towards Effective Facial Expressive Image Classification,"Improving Bag-of-Visual-Words Towards Effective Facial Expressive
+Image Classification
+Dawood Al Chanti1 and Alice Caplier1
+Univ. Grenoble Alpes, CNRS, Grenoble INP∗ , GIPSA-lab, 38000 Grenoble, France
+Keywords:
+BoVW, k-means++, Relative Conjunction Matrix, SIFT, Spatial Pyramids, TF.IDF."

+0cc2fc148eef46c1141edd276d903853052fc19d,Estado del arte en reconocimiento facial,"Estado del arte en reconocimiento facial
+Martín Adrián Garduño Santana, L. E. Díaz-Sánchez, Israel Tabarez Paz,
+Marcelo Romero Huertas
+Universidad Autónoma del Estado de México, Toluca, México
+Resumen.  En  este  trabajo  se  resumen  los  métodos  más  utilizados  para  el
+reconocimiento  facial,  incluyendo  las  ventajas  y  desventajas  de  los  sistemas
+desarrollados  hasta  ahora.    También  se  describen  las  futuras  líneas  de
+investigación  y  se  discute  el  rumbo del  reconocimiento  facial  en  los  próximos
+ños. Esta revisión es relevante pues se busca la implementación de un novedoso
+sistema de reconocimiento facial.
+Palabras  clave:  reconocimiento  facial,  sistemas  biométricos,  ciudades
+inteligentes, imágenes 2D y 3D.
+Face Recognition: a Survey"

+0c8d675bcd4489e886f35bee2a347c948ffee270,Semantic bottleneck for computer vision tasks,"Semantic bottleneck for computer vision tasks
+Maxime Bucher1,2, St´ephane Herbin1, and Fr´ed´eric Jurie2
+ONERA, Universit´e Paris-Saclay, FR-91123 Palaiseau, France
+Normandie Univ, UNICAEN, ENSICAEN, CNRS"

+0c3c83b7f030fe661548d362ddf33f37bb44043d,Crowd Motion Analysis Based on Social Force Graph with Streak Flow Attribute,"Hindawi Publishing Corporation
+Journal of Electrical and Computer Engineering
+Volume 2015, Article ID 492051, 12 pages
+http://dx.doi.org/10.1155/2015/492051
+Research Article
+Crowd Motion Analysis Based on Social Force Graph with
+Streak Flow Attribute
+Shaonian Huang,1,2 Dongjun Huang,1 and Mansoor Ahmed Khuhro1
+School of Information Science and Engineering, Central South University, Changsha 410083, China
+School of Computer and Information Engineering, Hunan University of Commerce, Changsha 420005, China
+Correspondence should be addressed to Shaonian Huang;
+Received 28 July 2015; Accepted 27 September 2015
+Academic Editor: Stefano Basagni
+Copyright © 2015 Shaonian Huang et al. This is an open access article distributed under the Creative Commons Attribution
+License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly
+ited.
+Over the past decades, crowd management has attracted a great deal of attention in the area of video surveillance. Among various
+tasks of video surveillance analysis, crowd motion analysis is the basis of numerous subsequent applications of surveillance video.
+In this paper, a novel social force graph with streak flow attribute is proposed to capture the global spatiotemporal changes and
+the local motion of crowd video. Crowd motion analysis is hereby implemented based on the characteristics of social force graph."

+0c17c42d71eacd2244e43fa55a8ed96607337cca,Automatic Face Reenactment,"Automatic Face Reenactment
+Pablo Garrido1
+Thorsten Thorm¨ahlen2
+Levi Valgaerts1
+Patrick P´erez3
+Ole Rehmsen1
+Christian Theobalt1
+Philipps-Universit¨at Marburg
+Technicolor
+MPI for Informatics"

+0cfca73806f443188632266513bac6aaf6923fa8,Predictive Uncertainty in Large Scale Classification using Dropout - Stochastic Gradient Hamiltonian Monte Carlo,"Predictive Uncertainty in Large Scale Classification
+using Dropout - Stochastic Gradient Hamiltonian
+Monte Carlo.
+Vergara, Diego∗1, Hern´andez, Sergio∗2, Valdenegro-Toro, Mat´ıas∗∗3 and Jorquera, Felipe∗4.
+Laboratorio de Procesamiento de Informaci´on Geoespacial, Universidad Cat´olica del Maule, Chile.
+German Research Centre for Artificial Intelligence, Bremen, Germany.
+Email:"

+0cd032a93890d61b9bd187119abee0d6aeb899f7,Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval,"IEEE TRANSACTION ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
+Iterative Quantization:
+A Procrustean Approach to Learning Binary
+Codes for Large-scale Image Retrieval
+Yunchao Gong, Svetlana Lazebnik, Albert Gordo, Florent Perronnin"

+0c5f9f5083b9fca4dcdbc4b122099ac1f630728b,Visual Semantic Role Labeling,"Visual Semantic Role Labeling
+Saurabh Gupta
+UC Berkeley
+Jitendra Malik
+UC Berkeley"

+0cec42a1593a02ce3f4a44d375e3b95f5797aa21,Recognizing Scene Categories of Historical Postcards,"Recognizing Scene Categories of Historical
+Postcards
+Rene Grzeszick, Gernot A. Fink
+{rene.grzeszick,
+Department of Computer Science, TU Dortmund"

+0cff123a31dcc115377ecca6ba137bebca909ff8,Anxiety dissociates the adaptive functions of sensory and motor response enhancements to social threats,"RESEARCH ARTICLE
+Anxiety dissociates the adaptive functions
+of sensory and motor response
+enhancements to social threats
+Marwa El Zein1,2*, Valentin Wyart1†, Julie Gre` zes1†
+Laboratoire de Neurosciences Cognitives, De´ partement d’Etudes Cognitives, Ecole
+Normale Supe´ rieure, PSL Research University, Paris, France; 2Universite´ Pierre et
+Marie Curie, Paris, France"

+0c3f7272a68c8e0aa6b92d132d1bf8541c062141,Kruskal-Wallis-Based Computationally Efficient Feature Selection for Face Recognition,"Hindawi Publishing Corporation
+e Scientific World Journal
+Volume 2014, Article ID 672630, 6 pages
+http://dx.doi.org/10.1155/2014/672630
+Research Article
+Kruskal-Wallis-Based Computationally Efficient Feature
+Selection for Face Recognition
+Sajid Ali Khan,1,2 Ayyaz Hussain,3 Abdul Basit,1 and Sheeraz Akram1
+Department of Software Engineering, Foundation University, Rawalpindi 46000, Pakistan
+Department of Computer Science, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology Islamabad,
+Islamabad 44000, Pakistan
+Department of Computer Science and Software Engineering, International Islamic University, Islamabad 44000, Pakistan
+Correspondence should be addressed to Sajid Ali Khan;
+Received 5 December 2013; Accepted 10 February 2014; Published 21 May 2014
+Academic Editors: S. Balochian, V. Bhatnagar, and Y. Zhang
+Copyright © 2014 Sajid Ali Khan 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.
+Face recognition in today’s technological world, and face recognition applications attain much more importance. Most of the
+existing work used frontal face images to classify face image. However these techniques fail when applied on real world face images.
+The proposed technique effectively extracts the prominent facial features. Most of the features are redundant and do not contribute"

+0c87f5a6deba422c0db261c4497b9b013b4ef5b8,Robust Face Detection using Convolutional Neural Network,"International Journal of Computer Applications (0975 – 8887)
+Volume 170 – No.6, July 2017
+Robust Face Detection using Convolutional
+Robert Yao Aaronson
+Sch. of Comp. Sci.& Tech
+Jiangsu Univ. of Sci. & Tech.
+No. 2 Mengxi Road Jingkou
+District Zhenjiang Prov. 212003
+Neural Network
+Wu Chen
+Sch. of Comp. Sci. & Tech
+Jiangsu Univ. of Sci. & Tech.
+No. 2 Mengxi Road Jingkou
+District Zhenjiang Prov. 212003
+Ben-Bright Benuwa
+Sch. of Comp. Sci. & Comm.
+Eng. Jiangsu Univ. Xuefu Road
+01 Jingkou District Zhenjiang
+Prov. 212003
+supported  by"

+0ceda9dae8b9f322df65ca2ef02caca9758aec6f,Context-Aware CNNs for Person Head Detection,"Context-aware CNNs for person head detection
+Tuan-Hung Vu∗
+Anton Osokin†
+INRIA/ENS
+Ivan Laptev∗"

+0c990e779067c563a79ae17c9d36094a745d7ed8,Model interpolation for eye localization using the Discriminative Generalized Hough Transform,"Model Interpolation for Eye Localization Using the
+Discriminative Generalized Hough Transform
+Ferdinand Hahmann, Heike Ruppertshofen, Gordon B¨oer, Hauke Schramm
+Institute of Applied Computer Science
+University of Applied Sciences Kiel
+Grenzstraße 3
+4149 Kiel"

+0cfcc1cd8bae5f5899cef0995debd7b38c46e817,Discrete texture traces: Topological representation of geometric context,"Discrete Texture Traces: Topological Representation of Geometric Context
+Jan Ernst∗ and Maneesh K. Singh
+Siemens Corporation, Corporate Research and Technology, Princeton, NJ, USA
+Department of Computer Science and Mathematics, Goethe University, Frankfurt am Main, Germany
+Visvanathan Ramesh†"

+0cbefba0f41982bdff091d0e5f0d5ef93185a55c,"Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias, and Rolling Shutter Effect","Challenges in Monocular Visual Odometry:
+Photometric Calibration, Motion Bias and
+Rolling Shutter Effect
+Nan Yang1,2,∗, Rui Wang1,2,∗, Xiang Gao1 and Daniel Cremers1,2"

+0ce4110d4c3d8b19ca0f7f75bc680aa9ba8d239a,Genetic Algorithms for Classifiers’ Training Sets Optimisation Applied to Human Face Recognition,"JOURNAL OF MEDICAL INFORMATICS & TECHNOLOGIES Vol. 11/2007, ISSN 1642-6037
+Michał KAWULOK*
+GENETIC ALGORITHMS FOR CLASSIFIERS’ TRAINING SETS
+OPTIMISATION APPLIED TO HUMAN FACE RECOGNITION
+support vector machines,
+genetic algorithms,
+human face recognition
+Human  face  recognition  is  a  multi-stage  process  within  which  many  classification  problems  must  be
+solved. This is performed by learning machines which elaborate classification rules based on a given training set.
+Therefore, one of the most important issues is selection of a training set which would properly represent the data
+that will be further classified. This paper presents an approach which utilizes genetic algorithms for selecting
+lassifiers’ training sets. This approach was implemented for the Support Vector Machines which is applied in
+two areas of automatic human face recognition: face verification and feature vectors comparison. Effectiveness
+of the presented concept was confirmed with appropriate experiments which results are described in this paper.
+.  INTRODUCTION
+Face recognition [7, 13, 14] is among the most popular biometric techniques which are
+eing developed nowadays and it is worth noticing that this is the method which is the most
+frequently used naturally by humans. Automatic face recognition is characterized by a low
+level of required interaction with a person who is being recognized, but offers relatively low
+effectiveness  comparing  to  other  biometric  methods  [4,  9].  A  face  recognition  system"

+0c1d5801f2b86afa969524dc74708a78450300d9,12 : Conditional Random Fields,"0-708: Probabilistic Graphical Models 10-708, Spring 2014
+2 : Conditional Random Fields
+Lecturer: Eric P. Xing
+Scribes: Qin Gao, Siheng Chen
+Hidden Markov Model
+.1 General parametric form
+In hidden Markov model (HMM), we have three sets of parameters,
+t = 1|yi
+transition probability matrix A : p(yj
+initialprobabilities : p(y1) ∼ Multinomial(π1, π2, ..., πM ),
+emission probabilities : p(xt|yi
+t) ∼ Multinomial(bi,1, bi,2, ..., bi,K).
+t−1 = 1) = ai,j,
+.2 Inference
+The inference can be done with forward algorithm which computes αk
+) recursively by
+t ≡ µt−1→t(k) = P (x1, ..., xt−1, xt, yk
+nd the backward algorithm which computes βk
+t = 1) recursively by
+(cid:88)"

+0c5afb209b647456e99ce42a6d9d177764f9a0dd,Recognizing Action Units for Facial Expression Analysis,"Recognizing Action Units for
+Facial Expression Analysis
+Ying-li Tian, Member, IEEE, Takeo Kanade, Fellow, IEEE, and Jeffrey F. Cohn, Member, IEEE"

+0c98defb5a83ea5dc5d90538d1cc8c4b6267a1cb,Perception of Dynamic Facial Expressions of Emotion: Electrophysiological Evidence,"Humboldt-Universität zu Berlin
+Dissertation
+Perception of Dynamic Facial Expressions
+of Emotion: Electrophysiological Evidence
+zur Erlangung des akademischen Grades Doctor rerum naturalium im Fach Psychologie
+Mathematisch-Naturwisseschafttlichen Fakultät II
+Guillermo Recio
+Dekan: Prof. Dr. Dr. Elmar Kulke
+Gutachter/in:  1. Prof. Dr. Werner Sommer
+2. Prof. Dr. Annekathrin Schacht
+3. Prof. Dr. Birgit Stürmer
+Datum der Einreichung:
+7.09.2012
+Datum der Promotion:
+07.03.2013"

+0c377fcbc3bbd35386b6ed4768beda7b5111eec6,A Unified Probabilistic Framework for Spontaneous Facial Action Modeling and Understanding,"A Unified Probabilistic Framework
+for Spontaneous Facial Action Modeling
+nd Understanding
+Yan Tong, Member, IEEE, Jixu Chen, Student Member, IEEE, and Qiang Ji, Senior Member, IEEE"

+0cb2dd5f178e3a297a0c33068961018659d0f443,IARPA Janus Benchmark-B Face Dataset,"© 2017 Noblis, Inc.  IARPA Janus Benchmark-B Face Dataset Cameron Whitelam, Emma Taborsky*, Austin Blanton, Brianna Maze*, Jocelyn Adams*, Tim Miller*, Nathan Kalka*, Anil K. Jain**, James A. Duncan*, Kristen Allen, Jordan Cheney*, Patrick Grother***  Noblis* Michigan State University** NIST*** 21 July 2017"

+0c1d40de56698e672d3906b96f47ae1361fc3912,Face recognition using kernel principal component analysis,"Advances in Vision Computing: An International Journal (AVC) Vol.1, No.1, March 2014
+Face Recognition Using Kernel
+PrincipalComponent Analysis
+Jayanthi T and 2Dr. Aji S
+Assistant Professor,Department of Computer Applications,
+Mohandas College of Engineering and Technology, Anad, Nedumangad
+Thiruvananthapuram, India
+Assistant Professor,Department of Computer Science,University of Kerala
+Kariyavattom,Thiruvananthapuram, India"

+0cd8895b4a8f16618686f622522726991ca2a324,Discrete Choice Models for Static Facial Expression Recognition,"Discrete Choice Models for Static Facial Expression
+Recognition
+Gianluca Antonini1, Matteo Sorci1, Michel Bierlaire2, and Jean-Philippe Thiran1
+Ecole Polytechnique Federale de Lausanne, Signal Processing Institute
+Ecole Polytechnique Federale de Lausanne, Operation Research Group
+Ecublens, 1015 Lausanne, Switzerland
+Ecublens, 1015 Lausanne, Switzerland"

+0cf7da0df64557a4774100f6fde898bc4a3c4840,Shape matching and object recognition using low distortion correspondences,"Shape Matching and Object Recognition using Low Distortion Correspondences
+Alexander C. Berg Tamara L. Berg
+Jitendra Malik
+Department of Electrical Engineering and Computer Science
+U.C. Berkeley"

+0cbe059c181278a373292a6af1667c54911e7925,'Owl' and 'Lizard': patterns of head pose and eye pose in driver gaze classification,"Owl and Lizard: Patterns of Head Pose and Eye
+Pose in Driver Gaze Classification
+Lex Fridman1, Joonbum Lee1, Bryan Reimer1, and Trent Victor2
+Massachusetts Institute of Technology (MIT)
+Chalmers University of Technology, SAFER"

+0c4659b35ec2518914da924e692deb37e96d6206,Registering a MultiSensor Ensemble of Images,"Registering a MultiSensor Ensemble of Images
+Jeff Orchard, Member, IEEE, and Richard Mann"

+0c53b45321131e61d1266cb960fc47c401f856f1,Space-Time Body Pose Estimation in Uncontrolled Environments,"Space-time Body Pose Estimation in Uncontrolled Environments
+Marcel Germann
+ETH Zurich
+Switzerland
+Tiberiu Popa
+ETH Zurich
+Switzerland
+Remo Ziegler
+LiberoVision AG
+Switzerland
+Richard Keiser
+LiberoVision AG
+Switzerland
+Markus Gross
+ETH Zurich
+Switzerland"

+0cd8fabfc8e22be8275c317e7ccd37e640711c62,Experiments on an RGB-D Wearable Vision System for Egocentric Activity Recognition,"Experiments on an RGB-D Wearable Vision System
+for Egocentric Activity Recognition
+Mohammad Moghimi1, Pablo Azagra2, Luis Montesano2, Ana C. Murillo1,2 and Serge Belongie3
+UC San Diego
+La Jolla, CA
+DIIS - I3A
+University of Zaragoza, Spain
+{montesano,
+Cornell Tech
+New York, NY
+tech.cornell.edu"

+0cdf238fd44684b49302c22b062772e7c66ea182,Autonomous Decision Making Robots,"International Journal of Artificial Intelligence and Applications (IJAIA), Vol.9, No.2, March 2018
+UNSUPERVISED ROBOTIC SORTING: TOWARDS
+AUTONOMOUS DECISION MAKING ROBOTS
+Joris Gu´Erin, St´Ephane Thiery, Eric Nyiri And Olivier Gibaru
+Arts et M´etiers ParisTech, Lille, FRANCE"

+0ca475433d74abb3c0f38fbe9d212058dc771570,Learning pairwise feature dissimilarities for person re-identification,"Learning Pairwise Feature Dissimilarities
+for Person Re-Identification
+Niki Martinel
+University of Udine
+Udine, Italy
+Christian Micheloni
+University of Udine
+Udine, Italy
+Claudio Piciarelli
+University of Udine
+Udine, Italy"

+0c03bb741972c99b71d8d733b92e5fa9430cbede,Learning rank reduced interpolation with principal component analysis,"Learning Rank Reduced Interpolation
+with Principal Component Analysis
+Matthias Ochs1, Henry Bradler1 and Rudolf Mester1,2"

+0c2c53d71942ad3171b693f565812f1db43215e0,Descriptive visual words and visual phrases for image applications,"Descriptive Visual Words and Visual Phrases for Image
+Shiliang Zhang1, Qi Tian2, Gang Hua3, Qingming Huang4, Shipeng Li2
+Applications
+Key Lab of Intelli. Info.
+Process., Inst. of Comput.
+Tech., CAS, Beijing 100080,
+China
+Microsoft Research Asia,
+Beijing 100080, China
+Microsoft Live Labs
+Research, Redmond, WA
+78052, U.S.A.
+Graduate University of
+Chinese Academy of
+Sciences, Beijing 100049,
+China
+{slzhang, {qitian, ganghua,"

+0c30850067c296a01b72cf4803c9712926ae5a95,Text-Dependent Audiovisual Synchrony Detection for Spoofing Detection in Mobile Person Recognition,"INTERSPEECH 2016
+September 8–12, 2016, San Francisco, USA
+Text-Dependent Audiovisual Synchrony Detection for Spoofing Detection in
+Mobile Person Recognition
+Amit Aides1,2, Hagai Aronowitz1
+Dept of Electrical Engineering,Technion - Israel Institute of Technology, Haifa, Israel
+IBM Research - Haifa, Israel
+{amitaid,"

+0cf333cab1a9ccf671cebf31b78180f863c1caa7,Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving,"Automated Evaluation of Semantic Segmentation
+Robustness for Autonomous Driving
+Wei Zhou, Member, IEEE, Julie Stephany Berrio, Member, IEEE,
+Stewart Worrall, Member, IEEE, and Eduardo Nebot, Member, IEEE"

+0c25a4636ebde18e229f7e459f1adaab1e9a2db9,Multi - class Classification and Clustering based Multi - object Tracking,"Multi-class Classification and Clustering based
+Multi-object Tracking
+Nii Longdon Sowah, Qingbo Wu, Fanman Meng"

+0ced7b814ec3bb9aebe0fcf0cac3d78f36361eae,Central Local Directional Pattern Value Flooding Co-occurrence Matrix based Features for Face Recognition,"Dr. P Chandra Sekhar Reddy, International Journal of Computer Science and Mobile Computing, Vol.6 Issue.1, January- 2017, pg. 221-227
+Available Online at www.ijcsmc.com
+International Journal of Computer Science and Mobile Computing
+A Monthly Journal of Computer Science and Information Technology
+ISSN 2320–088X
+IMPACT FACTOR: 6.017
+IJCSMC, Vol. 6, Issue. 1, January 2017, pg.221 – 227
+Central Local Directional Pattern Value
+Flooding Co-occurrence Matrix based
+Features for Face Recognition
+Dr. P Chandra Sekhar Reddy
+Professor, CSE Department, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad"

+0ccd410b6ae977a945a84bad1c2785cef4c73214,Pseudo two-dimensional Hidden Markov Models for face detection in colour images,"Pseudo two-dimensional Hidden Markov Models
+for face detection in colour images
+ephane Marchand-Maillet
+Bernard M
+erialdo
+Department of Multimedia Communications
+EURECOM Institute
+
+http:www.eurecom.fr~marchand
+To be presented in the
+nd Int. Conf. on Audio- and Video-based Biometric Person Authentication"

+0c9d9ebecfce885f3b1e7bd82ec1b74e9f17b9de,Attribute expansion with sequential learning for object classification,"ATTRIBUTE EXPANSION WITH SEQUENTIAL LEARNING FOR OBJECT
+CLASSIFICATION
+Biao Niuy, Bin Liz, Peng Liy, Xi Zhangy, Jian Chengy, Hanqing Luy
+National Laboratory of Pattern Recognition, CASIA, Beijing, China 100190
+ShiJiaZhuang Vocational Technology Institute, Hebei, China 050000
+{bniu, pli, xi.zhang, jcheng,"

+0c922f8be9f0368c1abd53b8d9554f06b73a56cf,High-Level Fusion of Depth and Intensity for Pedestrian Classification,"High-Level Fusion of Depth and
+Intensity for Pedestrian Classification
+Marcus Rohrbach1,3,(cid:2), Markus Enzweiler2,(cid:2), and Dariu M. Gavrila1,4
+Environment Perception, Group Research, Daimler AG, Ulm, Germany
+Image & Pattern Analysis Group, Dept. of Math.
+nd Computer Science, Univ. of Heidelberg, Germany
+Dept. of Computer Science, TU Darmstadt, Germany
+Intelligent Systems Lab, Fac. of Science, Univ. of Amsterdam, The Netherlands"

+0c79485f64733bd128ef8c395034b6bc77abf94d,Fully automatic expression-invariant face correspondence,"Fully Automatic Expression-Invariant Face Correspondence
+Augusto Salazar∗†
+Stefanie Wuhrer†‡
+Chang Shu‡
+Flavio Prieto §
+February 1, 2013"

+0c53ef79bb8e5ba4e6a8ebad6d453ecf3672926d,Weakly Supervised PatchNets: Describing and Aggregating Local Patches for Scene Recognition,"SUBMITTED TO JOURNAL
+Weakly Supervised PatchNets: Describing and
+Aggregating Local Patches for Scene Recognition
+Zhe Wang, Limin Wang, Yali Wang, Bowen Zhang, and Yu Qiao, Senior Member, IEEE"

+6601a0906e503a6221d2e0f2ca8c3f544a4adab7,Detection of Ancient Settlement Mounds : Archaeological Survey Based on the SRTM Terrain Model,"SRTM-2  2/9/06  3:27 PM  Page 321
+Detection of Ancient Settlement Mounds:
+Archaeological Survey Based on the
+SRTM Terrain Model
+B.H. Menze, J.A. Ur, and A.G. Sherratt"

+660b73b0f39d4e644bf13a1745d6ee74424d4a16,Constructing Kernel Machines in the Empirical Kernel Feature Space,",250+OPEN ACCESS BOOKS106,000+INTERNATIONALAUTHORS AND EDITORS113+ MILLIONDOWNLOADSBOOKSDELIVERED TO151 COUNTRIESAUTHORS AMONGTOP 1%MOST CITED SCIENTIST12.2%AUTHORS AND EDITORSFROM TOP 500 UNIVERSITIESSelection of our books indexed in theBook Citation Index in Web of Science™Core Collection (BKCI)Chapter from the book Reviews, Refinements and New Ideas in Face RecognitionDownloaded from: http://www.intechopen.com/books/reviews-refinements-and-new-ideas-in-face-recognitionPUBLISHED BYWorld's largest Science,Technology & Medicine Open Access book publisherInterested in publishing with InTechOpen?Contact us at"

+66d512342355fb77a4450decc89977efe7e55fa2,Learning Non-linear Transform with Discrim- Inative and Minimum Information Loss Priors,"Under review as a conference paper at ICLR 2018
+LEARNING NON-LINEAR TRANSFORM WITH DISCRIM-
+INATIVE AND MINIMUM INFORMATION LOSS PRIORS
+Anonymous authors
+Paper under double-blind review"

+661be86559295d3b2cbabcd31cc90848f601f55c,Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks,"Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks
+The Chinese University of Hong Kong 2SenseTime Group Limited 3Nanyang Technological University
+Yuenan Hou1, Zheng Ma2, Chunxiao Liu2, and Chen Change Loy3
+{mazheng,"

+661c16658db873efeee3621603fe6bd53eaffac1,LLE Score: A New Filter-Based Unsupervised Feature Selection Method Based on Nonlinear Manifold Embedding and Its Application to Image Recognition,"LLE score: a new filter-based unsupervised feature
+selection method based on nonlinear manifold
+embedding and its application to image recognition
+Chao Yao, Ya-Feng Liu, Member, IEEE, Bo Jiang, Jungong Han, and Junwei Han, Senior Member, IEEE."

+6643a7feebd0479916d94fb9186e403a4e5f7cbf,Chapter 8 3 D Face Recognition,"Chapter 8
+D Face Recognition
+Ajmal Mian and Nick Pears"

+66c792b7e9946f8cb92fac185267d03371437451,Adaptive Affinity Fields for Semantic Segmentation,"Adaptive Affinity Fields for Semantic Segmentation
+Tsung-Wei Ke*, Jyh-Jing Hwang*, Ziwei Liu, and Stella X. Yu
+UC Berkeley / ICSI"

+661ca4bbb49bb496f56311e9d4263dfac8eb96e9,Datasheets for Datasets,"Datasheets for Datasets
+Timnit Gebru 1 Jamie Morgenstern 2 Briana Vecchione 3 Jennifer Wortman Vaughan 1 Hanna Wallach 1
+Hal Daumé III 1 4 Kate Crawford 1 5"

+6668ca5ab57d68070f90671a4f92a6bc25f80470,Measuring cues for stand-off deception detection based on full-body non-verbal features in body-worn cameras,"Measuring cues for stand-off deception detection based on full-body
+non-verbal features in body-worn cameras
+Henri Bouma 1, Gertjan Burghouts, Richard den Hollander, Sophie Van Der Zee, Jan Baan,
+Johan-Martijn ten Hove, Sjaak van Diepen, Paul van den Haak, Jeroen van Rest
+TNO, Oude Waalsdorperweg 63, 2597 AK The Hague, The Netherlands"

+66b37797286952e7735901e152b4cdea171e8567,Recovering 3D Planes from a Single Image via Convolutional Neural Networks,"Recovering 3D Planes from a Single Image via
+Convolutional Neural Networks
+Fengting Yang and Zihan Zhou
+The Pennsylvania State University
+{fuy34,"

+66f55dc04aaf4eefdecef202211ad7563f7a703b,Synthesizing Programs for Images using Reinforced Adversarial Learning,"Synthesizing Programs for Images using Reinforced Adversarial Learning
+Yaroslav Ganin 1 Tejas Kulkarni 2 Igor Babuschkin 2 S. M. Ali Eslami 2 Oriol Vinyals 2"

+66d087f3dd2e19ffe340c26ef17efe0062a59290,Dog Breed Identification,"Dog Breed Identification
+Whitney LaRow
+Brian Mittl
+Vijay Singh"

+66660f5e8b2a4a695abe0f9e1df32d230126f773,Applying Deep Learning to Improve Maritime Situational Awareness,"Applying Deep Learning to Improve
+Maritime Situational Awareness
+Kathy Tang
+Stottler Henke Associates, Inc.
+650 S. Amphlett Blvd. Ste. 300
+San Mateo, CA 94402
+Intelligence"

+6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c,Ordinal Regression with Multiple Output CNN for Age Estimation,"Ordinal Regression with Multiple Output CNN for Age Estimation
+Zhenxing Niu1
+Gang Hua3
+Xidian University 2Xi’an Jiaotong University 3Microsoft Research Asia
+Xinbo Gao1
+Mo Zhou1
+Le Wang2"

+66719918aa6562d14ea53286bf248d6f1a7d6b14,Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks,"Perceive Your Users in Depth: Learning Universal User
+Representations from Multiple E-commerce Tasks
+Yabo Ni∗, Dan Ou∗, Shichen Liu, Xiang Li, Wenwu Ou, Anxiang Zeng, Luo Si
+Search Algorithm Team, Alibaba Group, Seattle & Hangzhou, China"

+66b9e9d488ef2bad9bf0d2fb98f73f38fec2bff8,Context-aware Cascade Attention-based RNN for Video Emotion Recognition,"Context-aware Cascade Attention-based RNN for
+Video Emotion Recognition
+Man-Chin Sun
+Emotibot Inc.
+Taipei, Taiwan
+Shih-Huan Hsu
+Emotibot Inc.
+Taipei, Taiwan
+Min-Chun Yang
+Emotibot Inc.
+Taipei, Taiwan
+Jen-Hsien Chien
+Emotibot Inc.
+Taipei, Taiwan"

+669727b3258bb3edc38709147f348dc67e3fcac4,A Lightweight approach for biometric template protection,"A Lightweight approach for biometric template protection*
+Hisham Al-Assam, Harin Sellahewa, & Sabah Jassim
+University of Buckingham, Buckingham MK18 1EG, U.K.
+{hisham.al-assam , harin.sellahewa,"

+66837b29270f3e03df64941a081d70c687c7955c,ActionXPose: A Novel 2D Multi-view Pose-based Algorithm for Real-time Human Action Recognition,"ActionXPose: A Novel 2D Multi-view Pose-based
+Algorithm for Real-time Human Action Recognition
+Federico Angelini, Student Member, IEEE, Zeyu Fu, Student Member, IEEE, Yang Long, Senior Member, IEEE,
+Ling Shao, Senior Member, IEEE, and Syed Mohsen Naqvi, Senior Member, IEEE"

+66c92c9145c2b6a304eb1b3a58e2a717884fe064,Emotions in Pervasive Computing Environments,"IJCSI International Journal of Computer Science Issues, Vol. 6, No. 1, 2009
+ISSN (Online): 1694-0784
+ISSN (Print): 1694-0814
+Emotions in Pervasive Computing Environments
+Nevin VUNKA JUNGUM1 and Éric LAURENT2
+1 Computer Science and Engineering Department,
+University of Mauritius
+Réduit, Mauritius
+Laboratoire de Psychologie, ENACT-MCA,
+University of Franche-Comté
+Besançon, France"

+66a2c229ac82e38f1b7c77a786d8cf0d7e369598,A Probabilistic Adaptive Search System for Exploring the Face Space,"Proceedings of the 2016 Industrial and Systems Engineering Research Conference
+H. Yang, Z. Kong, and MD Sarder, eds.
+A Probabilistic Adaptive Search System
+for Exploring the Face Space
+Andres G. Abad and Luis I. Reyes Castro
+Escuela Superior Politecnica del Litoral (ESPOL)
+Guayaquil-Ecuador"

+669ae4a3a21b5800829ac9ee7e780fa42f9bc5ad,LDADEEP+: Latent aspect discovery with deep representations,"978-1-4799-9988-0/16/$31.00 ©2016 IEEE
+ICASSP 2016"

+6603e7de5b155c86407edc43099b46b974b7f0bb,Local Feature Based Face Recognition,"We are IntechOpen,
+the world’s leading publisher of
+Open Access books
+Built by scientists, for scientists
+,800
+16,000
+Open access books available
+International  authors and editors
+Downloads
+Our authors are among the
+Countries delivered to
+TOP 1%
+2.2%
+most cited scientists
+Contributors from top 500 universities
+Selection of our books indexed in the Book Citation Index
+in Web of Science™ Core Collection (BKCI)
+Interested in publishing with us?
+Contact
+Numbers displayed above are based on latest data collected."

+66ee33bf0064eee159f3563e32b15c5bbd4140a0,Face Recognition Under Varying Viewing Conditions with Subspace Distance,"Face Recognition Under Varying Viewing Conditions with Subspace Distance
+Jen-Mei Chang
+Department of Mathematics and Statistics
+California State University, Long Beach
+250 Bellflower Blvd.
+Long Beach, California 90840-1001"

+66a9935e958a779a3a2267c85ecb69fbbb75b8dc,Fast and Robust Fixed-Rank Matrix Recovery,"FAST AND ROBUST FIXED-RANK MATRIX RECOVERY
+Fast and Robust Fixed-Rank Matrix
+Recovery
+German Ros*, Julio Guerrero, Angel Sappa, Daniel Ponsa and
+Antonio Lopez"

+66533107f9abdc7d1cb8f8795025fc7e78eb1122,Visual Servoing for a User's Mouth with Effective Intention Reading in a Wheelchair-based Robotic Arm,"Vi	a
+i a Whee
+W	y	g Sgy Dae	i i
y g	S	g i
z ad Ze	ga
 Biey
+y EECS A
ST 373	1 	g	Dg Y	g	G	 Taej 305	701 REA
+z VR Cee ETR
 161 ajg	Dg Y	g	G	 Taej 305	350 REA
+Abac
+Thee exi he c	eaive aciviy bewee a h
+
a beig ad ehabi
+
a eae ehabi
+
e ad ha he bee(cid:12) f ehabi
+	ch a 
ai	
+eadig i e f he eeia
+fied
+
f ad afey f a
+
+bic a
 ye
 ARES 

 ad i h	
a	b
+ieaci ech
+ech
+
+vi	a
+66810438bfb52367e3f6f62c24f5bc127cf92e56,Face Recognition of Illumination Tolerance in 2D Subspace Based on the Optimum Correlation Filter,"Face Recognition of Illumination Tolerance in 2D
+Subspace Based on the Optimum Correlation
+Filter
+Xu Yi
+Department of Information Engineering, Hunan Industry Polytechnic, Changsha, China
+images  will  be  tested  to  project"

+668e93e89835ec662d21cf695b7347339ce74c78,Likelihood Ratio Fusion within Scores of Independent Component Analysis Features Based Face Biometrics Verification Systems,"June. 2015. Vol. 6, No.3
+ISSN 2305-1493
+International Journal of Scientific Knowledge
+Computing and Information Technology
+© 2012 - 2015 IJSK & K.A.J. All rights reserved
+www.ijsk.org/ijsk
+LIKELIHOOD RATIO FUSION WITHIN SCORES OF
+INDEPENDENT COMPONENT ANALYSIS FEATURES BASED
+FACE BIOMETRICS VERIFICATION SYSTEMS
+SOLTANE MOHAMED
+Electrical Engineering & Computing Department, Faculty of Sciences & Technology,
+DOCTOR YAHIA FARES UNIVERSITY OF MEDEA, 26000 MEDEA, ALGERIA
+Laboratoire des Systèmes Électroniques Avancées (LSEA)"

+66c0fcf637bede76a6ea61b58655c5fc7e890630,Improving the Generalization of Neural Networks by Changing the Structure of Artificial Neuron,"Improving the Generalization of Neural Networks by Changing the Structure of Artificial Neuron. pp 195-204
+IMPROVING THE GENERALIZATION OF NEURAL NETWORKS BY CHANGING THE STRUCTURE OF
+ARTIFICIAL NEURON
+Mohammad Reza Daliri1, Mehdi Fatan2
+Biomedical Engineering Department and Iran Neural Technology Center,
+Faculty of Electrical Engineering, Iran University of Science and Technology (IUST),
+Narmak, 16846-13114 Tehran, Iran (Email:
+Mechatronics Group, Faculty of Electrical Engineering,
+Qazvin Islamic Azad University, Qazvin, Iran (Email:
+Corresponding author: M.R. Daliri, Email:"

+66e2c3d23af8ed76b116121827b9bc5e99cf4acc,Video Prediction with Appearance and Motion Conditions,"Video Prediction with Appearance and Motion Conditions
+Yunseok Jang 1 2 Gunhee Kim 2 Yale Song 3"

+66af2afd4c598c2841dbfd1053bf0c386579234e,Context-assisted face clustering framework with human-in-the-loop,"Noname manuscript No.
+(will be inserted by the editor)
+Context Assisted Face Clustering Framework with
+Human-in-the-Loop
+Liyan Zhang · Dmitri V. Kalashnikov ·
+Sharad Mehrotra
+Received: date / Accepted: date"

+66e6f08873325d37e0ec20a4769ce881e04e964e,The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding,"Int J Comput Vis (2014) 108:59–81
+DOI 10.1007/s11263-013-0695-z
+The SUN Attribute Database: Beyond Categories for Deeper Scene
+Understanding
+Genevieve Patterson · Chen Xu · Hang Su ·
+James Hays
+Received: 27 February 2013 / Accepted: 28 December 2013 / Published online: 18 January 2014
+© Springer Science+Business Media New York 2014"

+665e6aa652b99350a08090faaf9d4bcc7800186e,Detection-Free Multiobject Tracking by Reconfigurable Inference With Bundle Representations,"Detection-Free Multiobject Tracking by
+Reconfigurable Inference With
+Bundle Representations
+Liang Lin, Yongyi Lu, Chenglong Li, Hui Cheng, and Wangmeng Zuo, Senior Member, IEEE"

+661da40b838806a7effcb42d63a9624fcd684976,An Illumination Invariant Accurate Face Recognition with Down Scaling of DCT Coefficients,"An Illumination Invariant Accurate
+Face Recognition with Down Scaling
+of DCT Coefficients
+Virendra P. Vishwakarma, Sujata Pandey and M. N. Gupta
+Department of Computer Science and Engineering, Amity School of Engineering and Technology, New Delhi, India
+In this paper, a novel approach for illumination normal-
+ization under varying lighting conditions is presented.
+Our approach utilizes the fact that discrete cosine trans-
+form (DCT) low-frequency coefficients correspond to
+illumination variations in a digital image. Under varying
+illuminations, the images captured may have low con-
+trast; initially we apply histogram equalization on these
+for contrast stretching. Then the low-frequency DCT
+oefficients are scaled down to compensate the illumi-
+nation variations. The value of scaling down factor and
+the number of low-frequency DCT coefficients, which
+re to be rescaled, are obtained experimentally. The
+lassification is done using k−nearest neighbor classi-
+fication and nearest mean classification on the images
+obtained by inverse DCT on the processed coefficients."

+66886f5af67b22d14177119520bd9c9f39cdd2e6,Learning Additive Kernel For Feature Transformation and Its Application to CNN Features,"T. KOBAYASHI: LEARNING ADDITIVE KERNEL
+Learning Additive Kernel For Feature
+Transformation and Its Application to CNN
+Features
+Takumi Kobayashi
+National Institute of Advanced Industrial
+Science and Technology
+Tsukuba, Japan"

+664ccdcc614a8ecfbfedadc7b42b9537fe43d3f1,Probabilistic integration of sparse audio-visual cues for identity tracking,"Probabilistic Integration of Sparse Audio-Visual Cues for
+Identity Tracking
+Keni Bernardin
+Universität Karlsruhe, ITI
+Am Fasanengarten 5
+76131, Karlsruhe, Germany
+Rainer Stiefelhagen
+Universität Karlsruhe, ITI
+Am Fasanengarten 5
+76131, Karlsruhe, Germany
+Alex Waibel
+Universität Karlsruhe, ITI
+Am Fasanengarten 5
+76131, Karlsruhe, Germany"

+660c8a9fa166c1d81e65192e011eacfec208ec00,Discrimination of visual pedestrians data by combining projection and prediction learning,"Discrimination of visual pedestrians data by combining
+projection and prediction learning
+Mathieu Lefort, Alexander Gepperth
+To cite this version:
+Mathieu Lefort, Alexander Gepperth. Discrimination of visual pedestrians data by combining
+projection and prediction learning. ESANN - European Symposium on Artificial Neural Net-
+works, Computational Intelligence and Machine Learning, Apr 2014, Bruges, Belgium. 2014.
+<hal-01061654>
+HAL Id: hal-01061654
+https://hal.inria.fr/hal-01061654
+Submitted on 8 Sep 2014
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destin´ee au d´epˆot et `a la diffusion de documents
+scientifiques de niveau recherche, publi´es ou non,"

+66f8115136a11684e3b95c5aaa1476a871d58a66,Face recognition using multiple image view line segments,"JAMESCOOKUNIVERSITY
+FaceRecognitionusingMultiple
+ImageViewLineSegments
+StefanAeberhardandOlivierdeVel
+TR	/

+DEPARTMENTOFCOMPUTERSCIENCETOWNSVILLE
+QUEENSLAND


+AUSTRALIA"

+66b955311ab6841c4644414d8ce2faf6ca721602,RoboCupRescue 2009 - Robot League Team Darmstadt Rescue Robot,"RoboCupRescue 2009 - Robot League Team
+Darmstadt Rescue Robot Team (Germany)
+Micha Andriluka1, Martin Friedmann1, Stefan Kohlbrecher1, Johannes Meyer2,
+Karen Petersen1, Christian Reinl1, Peter Schauß1, Paul Schnitzspan1, Armin
+Strobel2, Dirk Thomas1, Anguelina Vatcheva1, Oskar von Stryk1(cid:63)
+Department of Computer Science (1) and Department of Mechanical Engineering (2),
+Technische Universit¨at Darmstadt,
+Karolinenplatz 5, D-64289 Darmstadt, Germany
+E-Mail:
+Web: www.gkmm.tu-darmstadt.de/rescue"

+66860100a3355f26ffcb9dcbf27e27e4757d641d,Feature Selection in Supervised Saliency Prediction,"Feature Selection in Supervised Saliency Prediction
+Ming Liang, Student Member, IEEE, and Xiaolin Hu, Senior Member, IEEE"

+3edb0fa2d6b0f1984e8e2c523c558cb026b2a983,Automatic Age Estimation Based on Facial Aging Patterns,"Automatic Age Estimation Based on
+Facial Aging Patterns
+Xin Geng, Zhi-Hua Zhou, Senior Member, IEEE,
+Kate Smith-Miles, Senior Member, IEEE"

+3e4b38b0574e740dcbd8f8c5dfe05dbfb2a92c07,Facial Expression Recognition with Local Binary Patterns and Linear Programming,"FACIAL EXPRESSION RECOGNITION WITH LOCAL BINARY PATTERNS
+AND LINEAR PROGRAMMING
+Xiaoyi Feng1, 2, Matti Pietikäinen1, Abdenour Hadid1
+Machine Vision Group, Infotech Oulu and Dept. of Electrical and Information Engineering
+P. O. Box 4500 Fin-90014 University of Oulu, Finland
+2 College of Electronics and Information, Northwestern Polytechnic University
+710072 Xi’an, China
+In  this  work,  we  propose  a  novel  approach  to  recognize  facial  expressions  from  static
+images. First, the Local Binary Patterns (LBP) are used to efficiently represent the facial
+images and then the Linear Programming (LP) technique is adopted to classify the seven
+facial  expressions  anger,  disgust,  fear,  happiness,  sadness,  surprise  and  neutral.
+Experimental results demonstrate an average recognition accuracy of 93.8% on the JAFFE
+database, which outperforms the rates of all other reported methods on the same database.
+Introduction
+Facial  expression  recognition  from  static
+images  is  a  more  challenging  problem
+than  from  image  sequences  because  less
+information  for  expression  actions
+vailable.  However,  information  in  a
+single  image  is  sometimes  enough  for"

+3e6b70e5be3dbe688866d8dd4382ce05b201fd28,Evaluation of Face Recognition Techniques,"PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, edited by Honghua Tan, Qi Luo,
+Proc. of SPIE Vol. 7489, 74890M · © 2009 SPIE · CCC code: 0277-786X/09/$18 · doi: 10.1117/12.836686
+Proc. of SPIE Vol. 7489  74890M-1
+Downloaded from SPIE Digital Library on 24 Jan 2010 to 130.194.78.137. Terms of Use:  http://spiedl.org/terms"

+3e6fa6cf1fe2e23fdf7716f89b160333c7a93b26,A Performance Evaluation of Single and Multi-feature People Detection,"A Performance Evaluation of Single and
+Multi-Feature People Detection
+Christian Wojek, Bernt Schiele
+{wojek,
+Computer Science Department
+TU Darmstadt"

+3e4acf3f2d112fc6516abcdddbe9e17d839f5d9b,Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs,"Deep Value Networks Learn to
+Evaluate and Iteratively Refine Structured Outputs
+Michael Gygli 1 * Mohammad Norouzi 2 Anelia Angelova 2"

+3e0415f0e8c36f20042d6a1f8b7c216fb5543c3a,RGB-D Segmentation of Poultry Entrails,"Aalborg Universitet
+RGB-D Segmentation of Poultry Entrails
+Philipsen, Mark Philip; Jørgensen, Anders; Guerrero, Sergio Escalera; Moeslund, Thomas B.
+Published in:
+IX International Conference on Articulated Motion and Deformable Objects
+DOI (link to publication from Publisher):
+0.1007/978-3-319-41778-3_17
+Publication date:
+Document Version
+Accepted author manuscript, peer reviewed version
+Link to publication from Aalborg University
+Citation for published version (APA):
+Philipsen, M. P., Jørgensen, A., Guerrero, S. E., & Moeslund, T. B. (2016). RGB-D Segmentation of Poultry
+Entrails. In IX International Conference on Articulated Motion and Deformable Objects (pp. 168-174). Springer.
+Lecture Notes in Computer Science, Vol.. 9756, DOI: 10.1007/978-3-319-41778-3_17
+General rights
+Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners
+nd it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.
+? Users may download and print one copy of any publication from the public portal for the purpose of private study or research.
+? You may not further distribute the material or use it for any profit-making activity or commercial gain"

+3efea06ad6398f9db07acf34479c81a99479e80b,Localizing Moments in Video with Natural Language,"Localizing Moments in Video with Natural Language
+Lisa Anne Hendricks1
+, Oliver Wang2, Eli Shechtman2, Josef Sivic2
+, Trevor Darrell1, Bryan Russell2
+UC Berkeley, 2Adobe Research, 3INRIA
+https://people.eecs.berkeley.edu/˜lisa_anne/didemo.html
+Figure 1: We consider localizing moments in video with natural language and demonstrate that incorporating local and
+global video features is important for this task. To train and evaluate our model, we collect the Distinct Describable Moments
+(DiDeMo) dataset which consists of over 40,000 pairs of localized video moments and corresponding natural language."

+3e0a12352fe3e9fb9246ee0f81ff7fbf0600f818,Facial Surface Analysis using Iso-Geodesic Curves in Three Dimensional Face Recognition System,"Facial Surface Analysis using Iso-Geodesic Curves
+in Three Dimensional Face Recognition System
+Rachid AHDID, El Mahdi BARRAH, Said SAFI and Bouzid MANAUT"

+3e3f305dac4fbb813e60ac778d6929012b4b745a,Feature sampling and partitioning for visual vocabulary generation on large action classification datasets,"Feature sampling and partitioning for visual vocabulary
+generation on large action classification datasets.
+Michael Sapienza1, Fabio Cuzzolin1, and Philip H.S. Torr2
+Department of Computing and Communications Technology, Oxford Brookes University.
+Department of Engineering Science, University of Oxford."

+3ea8a6dc79d79319f7ad90d663558c664cf298d4,Automatic Facial Expression Recognition from Video Sequences,"(cid:13) Copyright by Ira Cohen, 2000"

+3e8de2f904dea8368477daebab0c0dc97e0229f4,Detection and Classification of Vehicles from Omnidirectional Videos using Temporal Average of Silhouettes,"Detection and Classification of Vehicles from Omnidirectional Videos
+using Temporal Average of Silhouettes
+Computer Vision Research Group, Department of Computer Engineering, Izmir Institute of Technology, 35430,
+Hakki Can Karaimer and Yalin Bastanlar
+Izmir, Turkey
+{cankaraimer,
+Keywords:
+Omnidirectional  Camera,  Omnidirectional  Video,  Object  Detection,  Vehicle  Detection,  Vehicle
+Classification."

+3eff18934f5870b27f80c8b1d7104967460e3035,Driver hand localization and grasp analysis: A vision-based real-time approach,

+3e4f84ce00027723bdfdb21156c9003168bc1c80,A co-training approach to automatic face recognition,"© EURASIP, 2011  -  ISSN 2076-1465
+9th European Signal Processing Conference (EUSIPCO 2011)
+INTRODUCTION"

+3e56a9b6c6aced2cb14f9cd7f89d145851c44113,Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning,"Zero and Few Shot Learning with Semantic
+Feature Synthesis and Competitive Learning
+Zhiwu Lu, Jiechao Guan, Aoxue Li, Tao Xiang, An Zhao, and Ji-Rong Wen"

+3e08d000ba3dd382c16e4295435ef8264235ccbc,Multiple People Tracking in Smart Camera Networks by Greedy Joint-Likelihood Maximization,

+3e2588aaa719c63e48fe599a7f0dbea10a41b4eb,Using Sparse Semantic Embeddings Learned from Multimodal Text and Image Data to Model Human Conceptual Knowledge,"Using sparse semantic embeddings learned from multimodal text and
+image data to model human conceptual knowledge
+Steven Derby1
+Paul Miller1
+Brian Murphy1,2
+Barry Devereux1
+Queen’s University Belfast, Belfast, United Kingdom
+{sderby02, p.miller, brian.murphy,
+BrainWaveBank Ltd., Belfast, United Kingdom"

+3edf3a996790fef8957e21c68ddf48b52238e662,Product of tracking experts for visual tracking of surgical tools,"Product of Tracking Experts for Visual Tracking of Surgical Tools
+Suren Kumar, Madusudanan Sathia Narayanan, Pankaj Singhal, Jason J. Corso and Venkat Krovi
+State University of New York (SUNY) at Buffalo"

+3eec9e8d5051e84624ea7e009a8947403dee99d1,"Material Recognition Meets 3D Reconstruction: Novel Tools for Efficient, Automatic Acquisition Systems","Material Recognition Meets 3D
+Reconstruction: Novel Tools for Efficient,
+Automatic Acquisition Systems
+Dissertation
+Erlangung des Doktorgrades (Dr. rer. nat.)
+Mathematisch-Naturwissenschaftlichen Fakultät
+der Rheinischen Friedrich-Wilhelms-Universität Bonn
+vorgelegt von
+Dipl.-Ing. Michael Weinmann
+us Karlsruhe
+Bonn, Dezember 2015"

+3e04feb0b6392f94554f6d18e24fadba1a28b65f,Subspace Image Representation for Facial Expression Analysis and Face Recognition and its Relation to the Human Visual System,"Subspace Image Representation for Facial
+Expression Analysis and Face Recognition
+nd its Relation to the Human Visual System
+Ioan Buciu1,2 and Ioannis Pitas1
+Department of Informatics, Aristotle University of Thessaloniki GR-541 24,
+Thessaloniki, Box 451, Greece.
+Electronics Department, Faculty of Electrical Engineering and Information
+Technology, University of Oradea 410087, Universitatii 1, Romania.
+Summary. Two main theories exist with respect to face encoding and representa-
+tion in the human visual system (HVS). The first one refers to the dense (holistic)
+representation of the face, where faces have “holon”-like appearance. The second one
+laims that a more appropriate face representation is given by a sparse code, where
+only a small fraction of the neural cells corresponding to face encoding is activated.
+Theoretical and experimental evidence suggest that the HVS performs face analysis
+(encoding, storing, face recognition, facial expression recognition) in a structured
+nd hierarchical way, where both representations have their own contribution and
+goal. According to neuropsychological experiments, it seems that encoding for face
+recognition, relies on holistic image representation, while a sparse image represen-
+tation is used for facial expression analysis and classification. From the computer
+vision perspective, the techniques developed for automatic face and facial expres-"

+3ed186b4337f48e263ef60acffb49f16d5a85511,Discriminatively learned filter bank for acoustic features,"978-1-4799-9988-0/16/$31.00 ©2016 IEEE
+ICASSP 2016"

+3eebe8a5adaa49e54ea909b4e2aeb436025c84d5,3D Face Recognition Using Radon Transform and Symbolic Factorial Discriminant Analysis,"Proc. of Int. Conf. onMultimedia Processing, Communication and Info. Tech., MPCIT
+D Face Recognition Using Radon Transform and
+Symbolic Factorial Discriminant Analysis
+P. S. Hiremath, Manjunath Hiremath
+Department of Computer Science Gulbarga University, Gulbarga 585106 Karnataka, India
+Email:"

+3ede3ed28329bf48fbd06438a69c4f855bef003f,Large-scale geo-facial image analysis,"Islam et al. EURASIP Journal on Image and Video Processing  (2015) 2015:17
+DOI 10.1186/s13640-015-0070-9
+RESEARCH
+Open Access
+Large-scale geo-facial image analysis
+Mohammad T. Islam1, Connor Greenwell1, Richard Souvenir2 and Nathan Jacobs1*"

+3e685704b140180d48142d1727080d2fb9e52163,Single Image Action Recognition by Predicting Space-Time Saliency,"Single Image Action Recognition by Predicting
+Space-Time Saliency
+Marjaneh Safaei and Hassan Foroosh"

+3efb04937f6d87ab9540700e04d8133102c67bc0,Ask Your Neurons: A Deep Learning Approach to Visual Question Answering,"myjournal
+Ask Your Neurons:
+A Deep Learning Approach to Visual Question Answering
+Mateusz Malinowski · Marcus Rohrbach · Mario Fritz
+Received: date / Accepted: date"

+3ee522805e16bf7816ec4abfaf0c7648b5cb5c95,From Numerical Sensor Data to Semantic Representations :,"From Numerical Sensor Data to Semantic Representations:
+A Data-driven Approach for Generating Linguistic Descriptions
+Hadi Banaee
+Akademisk avhandling
+Avhandling för filosofie doktorsexamen i datavetenskap,
+som kommer att försvaras offentligt
+fredag den 20 april 2018 kl. 13.15,
+Hörsal T, Örebro universitet, Örebro
+Opponent: Prof. Antonio Chella
+University of Palermo
+Italy
+Örebro universitet
+Institutionen för Naturvetenskap och Teknik
+701 82 Örebro"

+3e67058c6ddd0afae692b7665f82124945ea2c5a,On the Learning of Deep Local Features for Robust Face Spoofing Detection,"On the Learning of Deep Local Features for
+Robust Face Spoofing Detection
+Gustavo Botelho de Souza1, Jo˜ao Paulo Papa2 and Aparecido Nilceu Marana2 - in Proc. of SIBGRAPI 2018
+UFSCar - Federal University of S˜ao Carlos. Rod. Washington Lu´ıs, Km 235. S˜ao Carlos (SP), Brazil. 13565-905.
+UNESP - S˜ao Paulo State University. Av. Eng. Luiz Edmundo Carrijo Coube, 14-01. Bauru (SP), Brazil. 17033-360.
+E-mail: {papa,"

+3e4ec7bdd279573d328a26b720854894e68230ed,Efficient Relative Attribute Learning Using Graph Neural Networks,"Ef‌f‌icient Relative Attribute Learning using
+Graph Neural Networks
+Zihang Meng1, Nagesh Adluru1, Hyunwoo J. Kim1⋆,
+Glenn Fung2, and Vikas Singh1
+University of Wisconsin – Madison
+American Family Insurance"

+3e3ba138edbcf594cd0479ac2cddd5a8e3ee6a18,Edge detection for facial expression recognition,"Edge Detection for Facial Expression Recognition
+Jesús García-Ramírez, Ivan Olmos-Pineda, J. Arturo Olvera-López, Manuel Martín
+Ortíz
+Faculty of Computer Science, Benemérita Universidad Autónoma de Puebla, Av. San Claudio
+olvera,
+y 14 sur. Puebla, Pue. C.P. 72570, México"

+3e309126c78261f242d21826bfac37412f5437cd,Attribute CNNs for Word Spotting in Handwritten,"International Journal on Document Analysis and Recognition manuscript No.
+(will be inserted by the editor)
+Attribute CNNs for Word Spotting in Handwritten
+Documents
+Sebastian Sudholt · Gernot A. Fink
+Received: date / Accepted: date"

+3e687d5ace90c407186602de1a7727167461194a,Photo Tagging by Collection-Aware People Recognition,"Photo Tagging by Collection-Aware People Recognition
+Cristina Nader Vasconcelos
+Vinicius Jardim
+Asla S´a
+Paulo Cezar Carvalho"

+3e0db33884ca8c756b26dc0df85c498c18d5f2ec,Exploiting Pedestrian Interaction via Global Optimization and Social Behaviors,"Exploiting pedestrian interaction via global optimization
+nd social behaviors
+Laura Leal-Taix´e, Gerard Pons-Moll, and Bodo Rosenhahn
+Leibniz Universit¨at Hannover, Appelstr. 9A, Hannover, Germany"

+3e18b439a6fff09a0e4c245eb1298531cc766a72,"Semi-automatic Face Image Finding Method , Which Uses the 3 D Model of the Head for Recognising an Unknown Face","Technologies of Computer Control
+doi: 10.7250/tcc.2015.001
+______________________________________________________________________________________________ 2015 / 16
+Semi-automatic Face Image Finding Method, Which
+Uses the 3D Model of the Head for Recognising an
+Olga Krutikova1, Aleksandrs Glazs2
+, 2 Riga Technical University"

+3e159084e12ece3664a17bf4dd0eed8c5f06a33f,Deep Neural Networks with Inexact Matching for Person Re-Identification,"Deep Neural Networks with Inexact Matching for
+Person Re-Identification
+Arulkumar Subramaniam
+Indian Institute of Technology Madras
+Chennai, India 600036
+Moitreya Chatterjee
+Indian Institute of Technology Madras
+Chennai, India 600036
+Anurag Mittal
+Indian Institute of Technology Madras
+Chennai, India 600036"

+3e7b5b07da3465103929b4347852d456c0f0ed58,Video Processing From Electro-Optical Sensors for Object Detection and Tracking in a Maritime Environment: A Survey,"Video Processing from Electro-optical Sensors for
+Object Detection and Tracking in Maritime
+Environment: A Survey
+Dilip K. Prasad1,∗, Deepu Rajan2, Lily Rachmawati3, Eshan Rajabally4, and Chai Quek2"

+3e4bd583795875c6550026fc02fb111daee763b4,Convolutional Sketch Inversion,"Convolutional Sketch Inversion
+Ya˘gmur G¨u¸cl¨ut¨urk∗, Umut G¨u¸cl¨u∗, Rob van Lier, and Marcel A. J.
+van Gerven
+Radboud University, Donders Institute for Brain, Cognition and
+Behaviour, Nijmegen, the Netherlands
+Figure 1: Example results of our convolutional sketch inversion models. Our models
+invert face sketches to synthesize photorealistic face images. Each row shows the sketch
+inversion / photo synthesis pipeline that transforms a different sketch of the same face
+to a different image of the same face via a different deep neural network. Each deep
+neural network layer is represented by the top three principal components of its feature
+maps."

+50f0c495a214b8d57892d43110728e54e413d47d,Pairwise support vector machines and their application to large scale problems,"Submitted 8/11; Revised 3/12; Published 8/12
+Pairwise Support Vector Machines and their Application to Large
+Scale Problems
+Carl Brunner
+Andreas Fischer
+Institute for Numerical Mathematics
+Technische Universit¨at Dresden
+01062 Dresden, Germany
+Klaus Luig
+Thorsten Thies
+Cognitec Systems GmbH
+Grossenhainer Str. 101
+01127 Dresden, Germany
+Editor: Corinna Cortes"

+506f744801c97f005fa04a09e4a4ae5fdabe94d7,MARCOnI&#x2014;ConvNet-Based MARker-Less Motion Capture in Outdoor and Indoor Scenes,"Local Submodularization
+for Binary Pairwise Energies
+Lena Gorelick, Yuri Boykov, Olga Veksler, Ismail Ben Ayed, and Andrew Delong"

+501096cca4d0b3d1ef407844642e39cd2ff86b37,Illumination Invariant Face Image Representation Using Quaternions,"Illumination Invariant Face Image
+Representation using Quaternions
+Dayron Rizo-Rodr´ıguez, Heydi M´endez-V´azquez, and Edel Garc´ıa-Reyes
+Advanced Technologies Application Center. 7a # 21812 b/ 218 and 222,
+Rpto. Siboney, Playa, P.C. 12200, La Habana, Cuba."

+501eda2d04b1db717b7834800d74dacb7df58f91,Discriminative Sparse Representation for Expression Recognition,"Pedro Miguel Neves Marques    Discriminative Sparse Representation for Expression Recognition     Master Thesis in Electrical and Computer Engineering September, 2014"

+50da9965104d944a8ae648c9aaec43be8ea1c501,Improving the Correspondence Establishment Based on Interactive Homography Estimation,"Improving the Correspondence Establishment
+Based on Interactive Homography Estimation*
+Xavier Cortés, Carlos Moreno, and Francesc Serratosa
+Universitat Rovira i Virgili, Departament d’Enginyeria Informàtica i Matemàtiques, Spain"

+5083c6be0f8c85815ead5368882b584e4dfab4d1,Automated Face Analysis for Affective Computing Jeffrey,"Please do not quote.  In press, Handbook of affective computing. New York, NY: Oxford
+Automated Face Analysis for Affective Computing
+Jeffrey F. Cohn & Fernando De la Torre"

+5080655990fe0e0446bcb038b3e0adad0218bd29,Quantum Cuts A Quantum Mechanical Spectral Graph Partitioning Method for Salient Object Detection Julkaisu,"Çağlar Aytekin
+Quantum Cuts
+A Quantum Mechanical Spectral Graph Partitioning Method for Salient
+Object Detection
+Julkaisu 1440 • Publication 1440
+Tampere 2016"

+50c5a552c191bff34ca74e0f8dbac159e3814533,"Overview of the ImageCLEF 2015 Scalable Image Annotation, Localization and Sentence Generation task","Overview of the ImageCLEF 2015 Scalable
+Image Annotation, Localization and Sentence
+Generation task
+Andrew Gilbert, Luca Piras, Josiah Wang, Fei Yan, Emmanuel Dellandrea,
+Robert Gaizauskas, Mauricio Villegas and Krystian Mikolajczyk"

+5056186a5001921d0a24587e26167a7ee9d88cf9,Optimizing the Capacity of a Convolutional Neural Network for Image Segmentation and Pattern Recognition,"World Academy of Science, Engineering and Technology
+International Journal of Computer and Information Engineering
+Vol:12, No:10, 2018
+Optimizing the Capacity of a Convolutional Neural
+Network for Image Segmentation and Pattern
+Recognition
+Yalong Jiang, Zheru Chi"

+5087d9bdde0ba5440eb8658be7183bf5074a2a94,Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model,"Object detection via a multi-region
+semantic segmentation-aware CNN model
+Spyros Gidaris, Nikos Komodakis
+To cite this version:
+Spyros Gidaris, Nikos Komodakis. Object detection via a multi-region
+semantic segmentation-aware CNN model. ICCV 2015, Dec 2015, Santiago, Chile. ICCV 2015, 2016,
+<10.1109/ICCV.2015.135>. <hal-01245664>
+HAL Id: hal-01245664
+https://hal.archives-ouvertes.fr/hal-01245664
+Submitted on 17 Dec 2015
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+50b6d2db19fb71ff5cfde8e2bfa484b10fbb39fe,Perception of Suicide Risk in Mental Health Professionals.,"RESEARCH ARTICLE
+Perception of Suicide Risk in Mental Health
+Professionals
+Tim M. Gale1,2*, Christopher J. Hawley3, John Butler4, Adrian Morton5, Ankush Singhal6
+Department of Research, Hertfordshire Partnership University NHS Foundation Trust, Hatfield, United
+Kingdom, 2 Department of Psychology, University of Hertfordshire, Hatfield, United Kingdom, 3 Department
+of Post-graduate Medicine, University of Hertfordshire, Hatfield, United Kingdom, 4 School of Health,
+University of Central Lancaster, Preston, United Kingdom, 5 Reigate Psychology Service, Reigate, Surrey,
+United Kingdom, 6 Psychological Medicine Service, The Royal Oldham Hospital, Oldham, United Kingdom
+11111"

+5090e374a0d505040ca6fe957936a12026f5347a,Human Emotion Classification From Videos,"Human Emotion Classification From Videos
+Maria Soledad Elli (mselli) - Dhvani Kotak (dkotak)"

+50bc8a4e7e6ab9837c6244b29ff800f523494d65,Learning to Answer Questions from Image Using Convolutional Neural Network,"Learning to Answer Questions From Image Using Convolutional Neural Network
+Noah’s Ark Lab, Huawei Technologies
+Lin Ma
+Zhengdong Lu
+Hang Li"

+506e2850a564b6085d8f0af4834a97ddd301d423,Alexandra Teynor Visual Object Class Recognition using Local Descriptions,"Alexandra Teynor
+Visual Object Class Recognition
+using Local Descriptions
+Dissertation zur Erlangung des Doktorgrades
+der Fakultät für Angewandte Wissenschaften
+der Albert-Ludwigs-Universität Freiburg im Breisgau
+August 2008"

+5058a7ec68c32984c33f357ebaee96c59e269425,A Comparative Evaluation of Regression Learning Algorithms for Facial Age Estimation,"A Comparative Evaluation of Regression Learning
+Algorithms for Facial Age Estimation
+Carles Fern´andez1, Ivan Huerta2, and Andrea Prati2
+Herta Security
+Pau Claris 165 4-B, 08037 Barcelona, Spain
+DPDCE, University IUAV
+Santa Croce 1957, 30135 Venice, Italy"

+50ff21e595e0ebe51ae808a2da3b7940549f4035,Age Group and Gender Estimation in the Wild With Deep RoR Architecture,"IEEE TRANSACTIONS ON LATEX CLASS FILES, VOL. XX, NO. X, AUGUST 2017
+Age Group and Gender Estimation in the Wild with
+Deep RoR Architecture
+Ke Zhang, Member, IEEE, Ce Gao, Liru Guo, Miao Sun, Student Member, IEEE, Xingfang Yuan, Student
+Member, IEEE, Tony X. Han, Member, IEEE, Zhenbing Zhao, Member, IEEE and Baogang Li"

+5042b358705e8d8e8b0655d07f751be6a1565482,Review on Emotion Detection in Image,"International Journal of
+Emerging Research in Management &Technology
+ISSN: 2278-9359 (Volume-4, Issue-8)
+Research  Article
+August
+Review  on Emotion Detection  in Image
+Aswinder Kaur*                                                                                                        Kapil Dewan
+CSE & PCET, PTU                                                                                             HOD, CSE & PCET, PTU
+Punjab, India                                                                                                            Punj ab, India"

+50e47857b11bfd3d420f6eafb155199f4b41f6d7,3D Human Face Reconstruction Using a Hybrid of Photometric Stereo and Independent Component Analysis,"International Journal of Computer, Consumer and Control (IJ3C), Vol. 2, No.1 (2013)
+D Human Face Reconstruction Using a Hybrid of Photometric
+Stereo and Independent Component Analysis
+*Cheng-Jian Lin, 2Shyi-Shiun Kuo, 1Hsueh-Yi Lin, 2Shye-Chorng Kuo and 1Cheng-Yi Yu"

+50eb75dfece76ed9119ec543e04386dfc95dfd13,Learning Visual Entities and Their Visual Attributes from Text Corpora,"Learning Visual Entities and their Visual Attributes from Text Corpora
+Erik Boiy
+Dept. of Computer Science
+K.U.Leuven, Belgium
+Koen Deschacht
+Dept. of Computer Science
+K.U.Leuven, Belgium
+Marie-Francine Moens
+Dept. of Computer Science
+K.U.Leuven, Belgium"

+50a0930cb8cc353e15a5cb4d2f41b365675b5ebf,Robust Facial Landmark Detection and Face Tracking in Thermal Infrared Images using Active Appearance Models,

+507660f778fe913f6e1957fe39a87cbf50a52b2e,Sparse Camera Network for Visual Surveillance -- A Comprehensive Survey,"Sparse Camera Network for Visual
+Surveillance – A Comprehensive Survey
+Mingli Song, Member, IEEE, Dacheng Tao, Senior Member, IEEE,
+nd Stephen J. Maybank, Fellow, IEEE"

+50fb5e2f0c2fe8679c218ff88d4906e5a0812d34,"Sketch-editing games: human-machine communication, game theory and applications","Sketch-Editing Games: Human-Machine Communication,
+Game Theory and Applications
+Andre Ribeiro
+Takeo Igarashi
+JST, Erato, Igarashi
+Design Interface Project,
+-28-1-7F, Koishikawa
+JST, Erato, Igarashi
+Design Interface Project,
+-28-1-7F, Koishikawa
+sketches).  We  argue"

+50eb2ee977f0f53ab4b39edc4be6b760a2b05f96,Emotion recognition based on texture analysis of facial expression,"Australian Journal of Basic and Applied Sciences, 11(5) April 2017, Pages: 1-11
+AUSTRALIAN JOURNAL OF BASIC AND
+APPLIED SCIENCES
+ISSN:1991-8178        EISSN: 2309-8414
+Journal home page: www.ajbasweb.com
+Emotion  Recognition  Based  on  Texture  Analysis  of  Facial  Expressions
+Using Wavelets Transform
+Suhaila N. Mohammed and 2Loay E. George
+Assistant Lecturer, Computer Science Department, College of Science, Baghdad University, Baghdad, Iraq,
+Assistant Professor, Computer Science Department, College of Science, Baghdad University, Baghdad, Iraq,
+Address For Correspondence:
+Suhaila N. Mohammed, Baghdad University, Computer Science Department, College of Science, Baghdad, Iraq.
+A R T I C L E   I N F O
+Article history:
+Received 18 January 2017
+Accepted 28 March 2017
+Available online 15 April 2017
+Keywords:
+Facial  Emotion,  Face  Detection,
+Template  Based  Methods,  Texture"

+50d15cb17144344bb1879c0a5de7207471b9ff74,"Divide, Share, and Conquer: Multi-task Attribute Learning with Selective Sharing","Divide, Share, and Conquer: Multi-task
+Attribute Learning with Selective Sharing
+Chao-Yeh Chen*, Dinesh Jayaraman*, Fei Sha, and Kristen Grauman"

+505942c5f9b5779bda2859e22e9ed0b1c0c7b54a,Towards 3D Face Recognition in the Real: A Registration-Free Approach Using Fine-Grained Matching of 3D Keypoint Descriptors,"Int J Comput Vis
+DOI 10.1007/s11263-014-0785-6
+Towards 3D Face Recognition in the Real: A Registration-Free
+Approach Using Fine-Grained Matching of 3D Keypoint
+Descriptors
+Huibin Li · Di Huang · Jean-Marie Morvan ·
+Yunhong Wang · Liming Chen
+Received: 26 April 2013 / Accepted: 27 October 2014
+© Springer Science+Business Media New York 2014"

+503c16d9cb1560f13a7d6baedf8c9f889b22459d,Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation,"Encoder-Decoder with Atrous Separable
+Convolution for Semantic Image Segmentation
+Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, and
+Hartwig Adam
+{lcchen, yukun, gpapan, fschroff,
+Google Inc."

+50d961508ec192197f78b898ff5d44dc004ef26d,A Low Indexed Content Based Neural Network Approach for Natural Objects Recognition,"International Journal of Computer science & Information Technology (IJCSIT), Vol 1, No 2, November 2009
+A LOW INDEXED CONTENT BASED
+NEURAL NETWORK APPROACH FOR
+NATURAL OBJECTS RECOGNITION
+G.Shyama Chandra Prasad1 and Dr. A.Govardhan 2  Dr. T.V.Rao 3
+Research Scholar, JNTUH, Hyderabad, AP. India
+Principal, JNTUH College of Engineering, jagitial, Karimnagar, AP, India
+Principal, Chaithanya Institute of Engineering and Technology, Kakinada, AP, India"

+50ccc98d9ce06160cdf92aaf470b8f4edbd8b899,Towards robust cascaded regression for face alignment in the wild,"Towards Robust Cascaded Regression for Face Alignment in the Wild
+Chengchao Qu1,2 Hua Gao3
+Eduardo Monari2
+J¨urgen Beyerer2,1
+Jean-Philippe Thiran3
+Vision and Fusion Laboratory (IES), Karlsruhe Institute of Technology (KIT)
+Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (Fraunhofer IOSB)
+Signal Processing Laboratory (LTS5), ´Ecole Polytechnique F´ed´erale de Lausanne (EPFL)"

+5028c0decfc8dd623c50b102424b93a8e9f2e390,Revisiting Classifier Two-sample Tests,"Published as a conference paper at ICLR 2017
+REVISITING CLASSIFIER TWO-SAMPLE TESTS
+David Lopez-Paz1, Maxime Oquab1,2
+Facebook AI Research, 2WILLOW project team, Inria / ENS / CNRS"

+500993a8852f766d4bac7b5039b9072b587e4d09,HARRISON: A Benchmark on HAshtag Recommendation for Real-world Images in Social Networks,"PARK, LI, KIM: HARRISON: A BENCHMARK FOR IMAGE HASHTAG RECOMMENDATION1
+HARRISON: A Benchmark on HAshtag
+Recommendation for Real-world Images in
+SOcial Networks
+School of Electrical Engineering
+KAIST
+South Korea
+Minseok Park
+Hanxiang Li
+Junmo Kim"

+50984f8345a3120d0e6c0a75adc2ac1a13e37961,Impaired face processing in autism: fact or artifact?,"DOI 10.1007/s10803-005-0050-5
+Published Online: February 14, 2006
+Impaired Face Processing in Autism: Fact or Artifact?
+Boutheina Jemel,1,3–5 Laurent Mottron,2–4 and Michelle Dawson2
+Within the last 10 years, there has been an upsurge of interest in face processing abilities in
+utism which has generated a proliferation of new empirical demonstrations employing a
+variety of measuring techniques. Observably atypical social behaviors early in the develop-
+ment of children with autism have led to the contention that autism is a condition where the
+processing of social
+is impaired. While several empirical
+sources of evidence lend support to this hypothesis, others suggest that there are conditions
+under which autistic individuals do not differ from typically developing persons. The present
+paper reviews this bulk of empirical evidence, and concludes that the versatility and abilities of
+face processing in persons with autism have been underestimated.
+information, particularly faces,
+KEY WORDS: Autism; face processing; FFA; configural; local bias.
+Impaired face processing is one of the most
+the social cognition
+ommonly cited aspects of
+deficits observed among persons with autism spec-"

+505e55d0be8e48b30067fb132f05a91650666c41,A Model of Illumination Variation for Robust Face Recognition,"A Model of Illumination Variation for Robust Face Recognition
+Florent Perronnin and Jean-Luc Dugelay
+Institut Eur´ecom
+Multimedia Communications Department
+BP 193, 06904 Sophia Antipolis Cedex, France
+fflorent.perronnin,"

+507c9672e3673ed419075848b4b85899623ea4b0,Multi-View Facial Expression Classification,"Faculty of Informatics
+Institute for Anthropomatics
+Chair Prof. Dr.-Ing. R. Stiefelhagen
+Facial Image Processing and Analysis Group
+Multi-View Facial Expression
+Classification
+DIPLOMA THESIS OF
+Nikolas Hesse
+ADVISORS
+Dr.-Ing. Hazım Kemal Ekenel
+Dipl.-Inform. Hua Gao
+Dipl.-Inform. Tobias Gehrig
+MARCH 2011
+KIT – University of the State of Baden-Württemberg and National Laboratory of the Helmholtz Association
+www.kit.edu"

+5020a75c45416073d0b07b1deb7382bc80de1779,Human Detection Using Learned Part Alphabet and Pose Dictionary,"Human Detection using Learned Part Alphabet
+nd Pose Dictionary
+Anonymous ECCV submission
+Paper ID 895"

+50e5dd45a94a56cb973e51dc3347e621266db7e4,3D Face Recognition Using Concurrent Neural Modules,"D Face Recognition Using Concurrent Neural Modules
+VICTOR-EMIL NEAGOE , IONUT MITRACHE, AND DANIEL CARAUSU
+Depart. Electronics, Telecommunications & Information Technology
+Polytechnic University of Bucharest
+Splaiul Independentei No. 313, Sector 6, Bucharest
+ROMANIA
+Email:"

+684c8acd49148020e9bf9c4f4aefc03708a6dac0,Video-Based Person Re-Identification With Accumulative Motion Context,"Video-based Person Re-identification with
+Accumulative Motion Context
+Hao Liu, Zequn Jie, Karlekar Jayashree, Meibin Qi, Jianguo Jiang and Shuicheng Yan, Fellow, IEEE, Jiashi Feng"

+68df1f746a3434ee8bcc8918d46809ddaad38b12,Subspace learning in minimax detection,"014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP)
+978-1-4799-2893-4/14/$31.00 ©2014 IEEE
+Email: {raja.fazliza, david.mary,
+SUBSPACE LEARNING IN MINIMAX DETECTION
+Raja Fazliza R. Suleiman, David Mary and Andr´e Ferrari
+Campus Valrose, 06108 Nice Cedex 02, FRANCE
+Laboratoire J.-L. Lagrange, UMR7293,
+. INTRODUCTION AND PRIOR WORKS
+(cid:26) H0"

+680d662c30739521f5c4b76845cb341dce010735,Part and Attribute Discovery from Relative Annotations,"Int J Comput Vis (2014) 108:82–96
+DOI 10.1007/s11263-014-0716-6
+Part and Attribute Discovery from Relative Annotations
+Subhransu Maji · Gregory Shakhnarovich
+Received: 25 February 2013 / Accepted: 14 March 2014 / Published online: 26 April 2014
+© Springer Science+Business Media New York 2014"

+68ae4db6acf5361486f153ee0c0d540e0823682a,FlashReport Memory conformity for con fi dently recognized items : The power of social in fl uence on memory reports,"Journal of Experimental Social Psychology 48 (2012) 783–786
+Contents lists available at SciVerse ScienceDirect
+Journal of Experimental Social Psychology
+j o u r n a l h o m e pa ge : w ww . e l s e v i e r . c o m/ l o c a t e / j e s p
+FlashReport
+Memory conformity for confidently recognized items: The power of social influence
+on memory reports
+Ruth Horry ⁎, Matthew A. Palmer 1, Michelle L. Sexton, Neil Brewer
+Flinders University, Australia
+r t i c l e
+i n f o
+b s t r a c t
+Article history:
+Received 14 September 2011
+Revised 9 December 2011
+Available online 22 December 2011
+Keywords:
+Memory conformity
+Confidence
+Face recognition"

+68e4ed4daa2ae94c789443ed222601a4a47f9a45,Building Extraction from Polarimetric Interferometric Sar Data Using Bayesian Network,"BUILDING EXTRACTION FROM POLARIMETRIC INTERFEROMETRIC SAR DATA
+USING BAYESIAN NETWORK
+Wenju He and Olaf Hellwich
+Berlin University of Technology
+{wenjuhe,
+. INTRODUCTION
+Many researches have been done to extract buildings from high resolution Synthetic Aperture Radar (SAR) data. The extraction
+problem is far from solved due to many constraints, e.g. SAR side-look imaging, speckle, and lack of object extent in SAR
+images. Building detection algorithms usually use intensity information or textures. Layovers and shadows can be discriminated
+from other objects since they have distinct appearances. The detection is hindered by the small geometric extent of buildings
+in SAR images and the orientation dependency of reflections. Many buildings are occluded with surrounding environments.
+The interactions between radar and various buildings are hard to model. Polarimetric SAR data can resolve some ambiguities
+ecause polarimetry can be used to analyze physical scattering properties. Scatterers formed by buildings have strong double-
+ounce reflections. Polarimetric SAR data also allow us to extract rich features for object detection. Polarimetric interferometric
+SAR (PolinSAR) data are more promising since they are able to provide object height information. Furthermore, coherent
+scatterer and permanent scatterer analysis using interferometric SAR (InSAR) data are powerful in urban change detection
+pplications. As to building localization, a height map retrieved from PolinSAR data is very advantageous. PolinSAR data are
+expected to further resolve ambiguities in building detection problems.
+For meter-resolution PolinSAR data, however, it is hard to retrieve phases of building roofs from interferometric phase
+ecause of complex scattering mechanisms and building geometries. Building height image was derived from InSAR digital"

+683260bf133c282439b91ac4427d42d73a5988b5,"Optimizing Program Performance via Similarity, Using Feature-aware and Feature-agnostic Characterization Approaches","UNIVERSITY OF CALIFORNIA,
+IRVINE
+Optimizing Program Performance via Similarity,
+Using Feature-aware and Feature-agnostic Characterization Approaches
+DISSERTATION
+submitted in partial satisfaction of the requirements
+for the degree of
+DOCTOR OF PHILOSOPHY
+in Information and Computer Science
+Rosario Cammarota
+Dissertation Committee:
+Professor Alexander V. Veidenbaum, Chair
+Professor Alexandru Nicolau
+Professor Nikil Dutt"

+68a2ee5c5b76b6feeb3170aaff09b1566ec2cdf5,Age Classification Based on Simple Lbp Transitions,"AGE CLASSIFICATION BASED ON
+SIMPLE LBP TRANSITIONS
+Research Scholar & Assoc Professor, Aditya institute of Technology and Management, Tekkalli-532 201, A.P.,
+Gorti Satyanarayana Murty
+India,
+Dr. V.Vijaya Kumar
+A. Obulesu
+Dean-Computer Sciences (CSE & IT), Anurag Group of Institutions, Hyderabad – 500088, A.P., India.,
+3Asst. Professor, Dept. Of CSE, Anurag Group of Institutions, Hyderabad – 500088, A.P., India."

+6821a3fa67d9d58655c26e24b568fda1229ac5be,Fast and robust object segmentation with the Integral Linear Classifier,"Fast and Robust Object Segmentation with the Integral Linear Classifier
+David Aldavert
+Computer Vision Center
+Dept. Computer Science
+Arnau Ramisa
+INRIA-Grenoble
+Artificial Intelligence Research
+Univ. Aut`onoma de Barcelona
+Institute (IIIA-CSIC)
+Ramon Lopez de Mantaras
+Artificial Intelligence Research
+Institute (IIIA-CSIC)
+Campus UAB
+Ricardo Toledo
+Computer Vision Center
+Dept. Computer Science
+Univ. Aut`onoma de Barcelona"

+68d2afd8c5c1c3a9bbda3dd209184e368e4376b9,Representation Learning by Rotating Your Faces,"Representation Learning by Rotating Your Faces
+Luan Tran, Xi Yin, and Xiaoming Liu, Member, IEEE"

+688cb9fd33769b152806c04ef6fc276629a9f300,LocNet: Improving Localization Accuracy for Object Detection,"LocNet: Improving Localization Accuracy for Object Detection
+Spyros Gidaris
+Universite Paris Est, Ecole des Ponts ParisTech
+Nikos Komodakis
+Universite Paris Est, Ecole des Ponts ParisTech"

+68eb5404a22fcca595cc6360e9a77a4b09156eb2,Appearance-based person reidentification in camera networks: problem overview and current approaches,"J Ambient Intell Human Comput (2011) 2:127–151
+DOI 10.1007/s12652-010-0034-y
+O R I G I N A L R E S E A R C H
+Appearance-based person reidentification in camera networks:
+problem overview and current approaches
+Gianfranco Doretto • Thomas Sebastian •
+Peter Tu • Jens Rittscher
+Received: 30 January 2010 / Accepted: 4 October 2010 / Published online: 14 January 2011
+Ó Springer-Verlag 2011"

+6872615b0298aa01affa3b8d71e4d5547244278f,Weighted Fourier Image Analysis and Modeling,"WEIGHTED FOURIER IMAGE ANALYSIS
+AND MODELING
+Shubing Wang
+A dissertation submitted in partial fulfillment of the
+requirements for the degree of
+Doctor of Philosophy
+(Statistics)
+t the
+UNIVERSITY OF WISCONSIN – MADISON"

+6859b891a079a30ef16f01ba8b85dc45bd22c352,"2D Face Recognition Based on PCA & Comparison of Manhattan Distance, Euclidean Distance & Chebychev Distance","International Journal of Emerging Technology and Advanced Engineering
+Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 4, Issue 10, October 2014)
+D Face Recognition Based on PCA & Comparison of
+Manhattan Distance, Euclidean Distance & Chebychev
+Distance
+Rajib Saha1, Sayan Barman2
+RCC Institute of Information Technology, Kolkata, India"

+68d08ed9470d973a54ef7806318d8894d87ba610,Drive Video Analysis for the Detection of Traffic Near-Miss Incidents,"Drive Video Analysis for the Detection of Traffic Near-Miss Incidents
+Hirokatsu Kataoka1, Teppei Suzuki1
+, Shoko Oikawa3, Yasuhiro Matsui4 and Yutaka Satoh1"

+68caf5d8ef325d7ea669f3fb76eac58e0170fff0,Long-term face tracking in the wild using deep learning,

+68003e92a41d12647806d477dd7d20e4dcde1354,Fuzzy Based Image Dimensionality Reduction Using Shape Primitives for Efficient Face Recognition,"ISSN: 0976-9102 (ONLINE)
+DOI: 10.21917/ijivp.2013.0101
+ICTACT JOURNAL ON IMAGE AND VIDEO PROCESSING, NOVEMBER 2013, VOLUME: 04, ISSUE: 02
+FUZZY BASED IMAGE DIMENSIONALITY REDUCTION USING SHAPE
+PRIMITIVES FOR EFFICIENT FACE RECOGNITION
+P. Chandra Sekhar Reddy1, B. Eswara Reddy2 and V. Vijaya Kumar3
+Deprtment of Computer Science and Engineering, Nalla Narasimha Reddy Education Society’s Group of Institutions, India
+E-Mail:
+Deprtment of Computer Science and Engineering, JNTUA College of Engineering, India
+Deprtment of Computer Science and Engineering, Anurag Group of Institutions, India
+E-mail:
+E-mail:"

+68d4056765c27fbcac233794857b7f5b8a6a82bf,Example-Based Face Shape Recovery Using the Zenith Angle of the Surface Normal,"Example-Based Face Shape Recovery Using the
+Zenith Angle of the Surface Normal
+Mario Castel´an1, Ana J. Almaz´an-Delf´ın2, Marco I. Ram´ırez-Sosa-Mor´an3,
+nd Luz A. Torres-M´endez1
+CINVESTAV Campus Saltillo, Ramos Arizpe 25900, Coahuila, M´exico
+Universidad Veracruzana, Facultad de F´ısica e Inteligencia Artificial, Xalapa 91000,
+ITESM, Campus Saltillo, Saltillo 25270, Coahuila, M´exico
+Veracruz, M´exico"

+684f5166d8147b59d9e0938d627beff8c9d208dd,Discriminative Block-Diagonal Representation Learning for Image Recognition,"IEEE TRANS. NNLS, JUNE 2017
+Discriminative Block-Diagonal Representation
+Learning for Image Recognition
+Zheng Zhang, Yong Xu, Senior Member, IEEE, Ling Shao, Senior Member, IEEE, Jian Yang, Member, IEEE"

+683fbd7593cf5c22ef54004bb89c469eab2f656e,URJC&UNED at ImageCLEF 2013 Photo Annotation Task,"URJCyUNED at ImageCLEF 2012 Photo
+Annotation task⋆
+Jes´us S´anchez-Oro1, Soto Montalvo1, Antonio S. Montemayor1, Ra´ul Cabido1,
+Juan J. Pantrigo1, Abraham Duarte1, V´ıctor Fresno2, and Raquel Mart´ınez2
+Universidad Rey Juan Carlos, M(cid:19)ostoles, Spain
+Universidad Nacional de Educaci(cid:19)on a Distancia, Madrid, Spain"

+68333b73613c59914bfe1264a440b3cf854dc15c,Mugeetion: Musical Interface Using Facial Gesture and Emotion,"Mugeetion: Musical Interface Using Facial Gesture and Emotion
+Eunjeong Stella Koh
+Music Department
+UC San Diego"

+6864b089c8586b0e3f6bd6736cabea96b1c4a28a,Robust classification for occluded ear via Gabor scale feature-based non-negative sparse representation,"Robust classification for occluded ear via
+Gabor scale feature-based non-negative
+sparse representation
+Baoqing Zhang
+Zhichun Mu
+Chen Li
+Hui Zeng
+Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 01/02/2016 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspx"

+68becbe61cf30ef93b2679866d3a511e919ffb2f,"Motor, emotional, and cognitive empathy in children and adolescents with autism spectrum disorder and conduct disorder.","J Abnorm Child Psychol (2013) 41:425–443
+DOI 10.1007/s10802-012-9689-5
+Motor, Emotional, and Cognitive Empathy in Children
+nd Adolescents with Autism Spectrum Disorder
+nd Conduct Disorder
+Danielle Bons & Egon van den Broek & Floor Scheepers &
+Pierre Herpers & Nanda Rommelse & Jan K. Buitelaaar
+Published online: 25 October 2012
+# Springer Science+Business Media New York 2012"

+688680d9902f688b9ac2d47c399ceebd1014d785,GIS-supported people tracking re-acquisition in a multi-camera environment,"GIS-supported People Tracking Re-Acquisition in a Multi-Camera
+Environment
+Anastasios Dimou1, Vasileios Lovatsis1, Andreas Papadakis2, Stelios Pantelopoulos2 and Petros
+Daras1
+CERTH-ITI, 6th kilometer Harilaou-Thermi, Thessaloniki, Greece
+SingularLogic, Athens, Greece
+Keywords:
+GIS, Re-Identification, Multi-camera."

+685f8df14776457c1c324b0619c39b3872df617b,Face Recognition with Preprocessing and Neural Networks,"Master of Science Thesis in Electrical Engineering
+Department of Electrical Engineering, Linköping University, 2016
+Face Recognition with
+Preprocessing and Neural
+Networks
+David Habrman"

+68484ae8a042904a95a8d284a7f85a4e28e37513,Spoofing Deep Face Recognition with Custom Silicone Masks,"Spoofing Deep Face Recognition with Custom Silicone Masks
+Sushil Bhattacharjee Amir Mohammadi
+S´ebastien Marcel
+Idiap Research Institute. Centre du Parc, Rue Marconi 19, Martigny (VS), Switzerland
+{sushil.bhattacharjee; amir.mohammadi;"

+688754568623f62032820546ae3b9ca458ed0870,Resting high frequency heart rate variability is not associated with the recognition of emotional facial expressions in healthy human adults,"ioRxiv preprint first posted online Sep. 27, 2016;
+http://dx.doi.org/10.1101/077784
+The copyright holder for this preprint (which was not
+peer-reviewed) is the author/funder. It is made available under a
+CC-BY-NC-ND 4.0 International license
+Resting high frequency heart rate variability is not associated with the
+recognition of emotional facial expressions in healthy human adults.
+Brice Beffara1,2,3, Nicolas Vermeulen3,4, Martial Mermillod1,2
+Univ. Grenoble Alpes, LPNC, F-38040, Grenoble, France
+CNRS, LPNC UMR 5105, F-38040, Grenoble, France
+IPSY, Université Catholique de Louvain, Louvain-la-Neuve, Belgium
+Fund for Scientific Research (FRS-FNRS), Brussels, Belgium
+Correspondence concerning this article should be addressed to Brice Beffara, Of‌f‌ice E250, Institut
+de Recherches en Sciences Psychologiques, IPSY - Place du Cardinal Mercier, 10 bte L3.05.01 B-1348
+Louvain-la-Neuve, Belgium. E-mail:
+Author note
+This study explores whether the myelinated vagal connection between the heart and the brain
+is involved in emotion recognition. The Polyvagal theory postulates that the activity of the
+myelinated vagus nerve underlies socio-emotional skills. It has been proposed that the perception
+of emotions could be one of this skills dependent on heart-brain interactions. However, this"

+688ae87c5e40583ecf9ec6d06d4d15a3e62f5556,A New Angle on L2 Regularization,"A New Angle on L2 Regularization
+(interactive version available at https://thomas-tanay.github.io/post--L2-regularization/)
+Thomas Tanay
+Lewis D Grif‌f‌in
+CoMPLEX, UCL
+CoMPLEX, UCL
+Deep neural networks have been shown to be vulnerable to the
+dversarial example phenomenon: all models tested so far can have their
+lassifications dramatically altered by small image perturbations [1, 2].
+The following predictions were for instance made by a state-of-the-art
+network trained to recognize celebrities [3]:"

+68b44eb4c7440046783146064ae9e715a72766dc,An Investigation of Physiological Arousal in Children with Autism and Co-morbid Challenging Behaviour,"An Investigation of Physiological Arousal in Children with
+Autism and Co-morbid Challenging Behaviour
+Sinéad Lydon
+A thesis submitted to Trinity College Dublin, the University of Dublin,
+in partial fulfillment of the requirements for the Degree of Doctor of
+Philosophy (PhD) in Psychology
+Supervisors: Dr. Olive Healy (Trinity College Dublin) and
+Professor Brian Hughes (National University of Ireland, Galway)."

+688f5cb02dc6c779fa9fd18f44b792f9626bdcd0,Visual pattern discovery in image and video data: a brief survey,"Visual Pattern Discovery in Image and Video Data:
+A Brief Survey
+Hongxing Wang, Gangqiang Zhao and Junsong Yuan"

+68f9cb5ee129e2b9477faf01181cd7e3099d1824,ALDA Algorithms for Online Feature Extraction,"ALDA Algorithms for Online Feature Extraction
+Youness Aliyari Ghassabeh, Hamid Abrishami Moghaddam"

+68b01afed57ed7130d993dffc03dcbfa36d4e038,Adversarial Learning with Local Coordinate Coding,"Adversarial Learning with Local Coordinate Coding
+Jiezhang Cao * 1 Yong Guo * 1 Qingyao Wu * 1 Chunhua Shen 2 Junzhou Huang 3 Mingkui Tan 1"

+687ef116d7115498f12dff1b3338d959f164ef6b,Using Thought-Provoking Children's Questions to Drive Artificial Intelligence Research,"Using Thought-Provoking Children’s Questions
+to Drive Artificial Intelligence Research
+Erik T. Mueller and Henry Minsky
+Minsky Institute for Artificial Intelligence
+http://minskyinstitute.org/
+September 14, 2015 00:09"

+68ba19afe924699b4a0c84af91c05deb5b03e3bd,Do Characteristics of Faces That Convey Trustworthiness and Dominance Underlie Perceptions of Criminality?,"Do Characteristics of Faces That Convey Trustworthiness
+nd Dominance Underlie Perceptions of Criminality?
+Heather D. Flowe*
+College of Medicine, Biological Sciences and Psychology, University of Leicester, Leicester, United Kingdom"

+68415682aa3e25178c9504866f64cf4b2a32273e,Capturing Complex 3D Human Motions with Kernelized Low-Rank Representation from Monocular RGB Camera,"Article
+Capturing Complex 3D Human Motions with
+Kernelized Low-Rank Representation from
+Monocular RGB Camera
+Xuan Wang 1,2,3,4, Fei Wang 1,2,3,4,* and Yanan Chen 1,2,3,4
+The Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, No.28 Xianning West Road,
+Xi’an 710048, China; (X.W.); (Y.C.)
+The School of Software Engineering, Xi’an Jiaotong University, No.28 Xianning West Road,
+Xi’an 710048, China
+National Engineering Laboratory for Visual Information Processing and Application, Xi’an Jiaotong
+University, No.28 Xianning West Road, Xi’an 710048, China
+Shaanxi Digital Technology and Intelligent System Key Laboratory, Xi’an Jiaotong University, No.28
+Xianning West Road, Xi’an 710048, China
+* Correspondence:
+Received: 5 July 2017; Accepted: 24 August 2017; Published: 3 September 2017"

+68d40176e878ebffbc01ffb0556e8cb2756dd9e9,Locality Repulsion Projection and Minutia Extraction Based Similarity Measure for Face Recognition,"International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622
+International Conference on Humming Bird ( 01st March 2014)
+RESEARCH ARTICLE
+OPEN ACCESS
+Locality Repulsion Projection and Minutia Extraction Based
+Similarity Measure for Face Recognition
+Agnel AnushyaP.1,RamyaP.2
+AgnelAnushya P. is currently pursuing M.E (Computer Science and engineering) at Vins Christian college of
+Ramya P. is currently working as an Asst. Professor in the dept. of Information Technology at Vins Christian
+Engineering.
+ollege of Engineering."

+68c279d4fcc02710056e73a3b0d0d564a7615cad,Unified framework for fast exact and approximate search in dissimilarity spaces,"Unified Framework for Fast Exact and
+Approximate Search in Dissimilarity Spaces
+TOM´AˇS SKOPAL
+Charles University in Prague
+In multimedia systems we usually need to retrieve DB objects based on their similarity to a query
+object, while the similarity assessment is provided by a measure which defines a (dis)similarity
+score for every pair of DB objects. In most existing applications, the similarity measure is required
+to be a metric, where the triangle inequality is utilized to speedup the search for relevant objects
+y use of metric access methods (MAMs), e.g. the M-tree. A recent research has shown, however,
+that non-metric measures are more appropriate for similarity modeling due to their robustness and
+ease to model a made-to-measure similarity. Unfortunately, due to the lack of triangle inequality,
+the non-metric measures cannot be directly utilized by MAMs. From another point of view, some
+sophisticated similarity measures could be available in a black-box non-analytic form (e.g. as an
+lgorithm or even a hardware device), where no information about their topological properties is
+provided, so we have to consider them as non-metric measures as well. From yet another point
+of view, the concept of similarity measuring itself is inherently imprecise and we often prefer fast
+ut approximate retrieval over an exact but slower one.
+To date, the mentioned aspects of similarity retrieval have been solved separately, i.e. exact
+vs. approximate search or metric vs. non-metric search. In this paper we introduce a similarity
+retrieval framework which incorporates both of the aspects into a single unified model. Based on"

+6889d649c6bbd9c0042fadec6c813f8e894ac6cc,Analysis of Robust Soft Learning Vector Quantization and an application to Facial Expression Recognition,"Analysis of Robust Soft Learning Vector
+Quantization and an application to Facial
+Expression Recognition"

+680402e42c874c14a32146865d985588985744a4,Detection and Tracking of Multiple Humans in High-density Crowds,"DETECTION AND TRACKING OF MULTIPLE HUMANS IN
+HIGH-DENSITY CROWDS
+Irshad Ali
+A research study submitted in partial fulfillment of the requirements for the
+degree of Master of Engineering in
+Computer Science
+Examination Committee: Dr. Matthew N. Dailey (Chairperson)
+Dr. Manukid Parnichkun (Member)
+Dr. Nitin V. Afzulpurkar (Member)
+Nationality: Pakistani
+Previous Degree: Bachelor of Science in Computer Engineering
+Samara State Technical University, Russia
+Scholarship Donor: Higher Education Commission (HEC), Pakistan - AIT
+Fellowship
+Asian Institute of Technology
+School of Engineering and Technology
+Thailand
+May 2009"

+68c17aa1ecbff0787709be74d1d98d9efd78f410,Gender Classification from Face Images Using Mutual Information and Feature Fusion,"International Journal of Optomechatronics, 6: 92–119, 2012
+Copyright # Taylor & Francis Group, LLC
+ISSN: 1559-9612 print=1559-9620 online
+DOI: 10.1080/15599612.2012.663463
+GENDER CLASSIFICATION FROM FACE IMAGES
+USING MUTUAL INFORMATION AND FEATURE
+FUSION
+Claudio Perez, Juan Tapia, Pablo Este´vez, and Claudio Held
+Department of Electrical Engineering and Advanced Mining Technology
+Center, Universidad de Chile, Santiago, Chile
+In this article we report a new method for gender classification from frontal face images
+using feature selection based on mutual information and fusion of features extracted from
+intensity, shape, texture, and from three different spatial scales. We compare the results of
+three different mutual information measures: minimum redundancy and maximal relevance
+(mRMR), normalized mutual information feature selection (NMIFS), and conditional
+mutual information feature selection (CMIFS). We also show that by fusing features
+extracted from six different methods we significantly improve the gender classification
+results relative to those previously published, yielding 99.13% of the gender classification
+rate on the FERET database.
+Keywords: Feature fusion, feature selection, gender classification, mutual information, real-time gender"

+68f61154a0080c4aae9322110c8827978f01ac2e,"Recognizing blurred , non-frontal , illumination and expression variant partially occluded faces","Research Article
+Journal of the Optical Society of America A
+Recognizing blurred, non-frontal, illumination and
+expression variant partially occluded faces
+ABHIJITH PUNNAPPURATH1* AND AMBASAMUDRAM NARAYANAN RAJAGOPALAN1
+Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai 600036, India.
+*Corresponding author:
+Compiled June 26, 2016
+The focus of this paper is on the problem of recognizing faces across space-varying motion blur, changes
+in pose, illumination, and expression, as well as partial occlusion, when only a single image per subject
+is available in the gallery. We show how the blur incurred due to relative motion between the camera and
+the subject during exposure can be estimated from the alpha matte of pixels that straddle the boundary
+etween the face and the background. We also devise a strategy to automatically generate the trimap re-
+quired for matte estimation. Having computed the motion via the matte of the probe, we account for pose
+variations by synthesizing from the intensity image of the frontal gallery, a face image that matches the
+pose of the probe. To handle illumination and expression variations, and partial occlusion, we model the
+probe as a linear combination of nine blurred illumination basis images in the synthesized non-frontal
+pose, plus a sparse occlusion. We also advocate a recognition metric that capitalizes on the sparsity of the
+occluded pixels. The performance of our method is extensively validated on synthetic as well as real face
+data. © 2016 Optical Society of America"

+6844a700aee36bd809d1188f6f9e81707c513f19,Interactive model-based reconstruction of the human head using an RGB-D sensor,"Interactive Model-based Reconstruction of the
+Human Head using an RGB-D Sensor
+M. Zollh¨ofer, J. Thies, M. Colaianni, M. Stamminger, G. Greiner
+Computer Graphics Group, University Erlangen-Nuremberg, Germany"

+682f735ef796370f510218eb7afb4d2a36cd1256,On Offline Evaluation of Vision-Based Driving Models,

+6888f3402039a36028d0a7e2c3df6db94f5cb9bb,Classifier-to-generator Attack: Estimation,"Under review as a conference paper at ICLR 2018
+CLASSIFIER-TO-GENERATOR ATTACK: ESTIMATION
+OF TRAINING DATA DISTRIBUTION FROM CLASSIFIER
+Anonymous authors
+Paper under double-blind review"

+68b6ec13d06facacf5637f90828ab5b6e352be60,Neural Proximal Gradient Descent for Compressive Imaging,"Neural Proximal Gradient Descent for Compressive
+Imaging
+Morteza Mardani1,2, Qingyun Sun4, Shreyas Vasawanala2, Vardan Papyan3,
+Hatef Monajemi3, John Pauly1, and David Donoho3
+Depts. of Electrical Eng., Radiology, Statistics, and Mathematics; Stanford University"

+6898b0934d2bc34acc61a3c63fbb20337d7b9a95,Learning Styles and Emotion Recognition in a Fuzzy Expert System,"Learning Styles and Emotion Recognition in a Fuzzy
+Expert System
+Ramón Zatarain-Cabada, M. Lucía Barrón-Estrada, Rosalío Zatarain-Cabada
+Instituto Tecnológico de Culiacán, Juan de Dios Bátiz s/n, Col. Guadalupe, Culiacán Sinaloa,
+80220, Mexico
+{rzatarain,"

+5782d17ad87262739d69dcbe76cadfa881179a91,Data Analysis Project: What Makes Paris Look like Paris?,"Data Analysis Project: What Makes Paris Look like
+Paris?
+Machine Learning Department
+Carnegie-Mellon University
+Pittsburgh, PA 15213
+Carl Doersch⇤"

+57235f22abcd6bb928007287b17e235dbef83347,Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency,"EXEMPLAR GUIDED UNSUPERVISED
+IMAGE-TO-
+IMAGE TRANSLATION WITH SEMANTIC CONSISTENCY
+Liqian Ma1 Xu Jia2
+KU-Leuven/PSI, TRACE (Toyota Res in Europe)
+{liqian.ma, xu.jia, tinne.tuytelaars,
+{georgous,
+Stamatios Georgoulis1,3 Tinne Tuytelaars2 Luc Van Gool1,3
+KU-Leuven/PSI, IMEC 3ETH Zurich"

+57165586f65f25edd9d14f0173c4c35dab8c2e66,Aligning plot synopses to videos for story-based retrieval,"Noname manuscript No.
+(will be inserted by the editor)
+Aligning Plot Synopses to Videos for Story-based Retrieval
+Makarand Tapaswi · Martin B¨auml · Rainer Stiefelhagen
+Received: date / Accepted: date"

+572785b5d6f6fa4b174d79725f82c056b0fb4565,"Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art","Computer Vision for Autonomous Vehicles:
+Problems, Datasets and State-of-the-Art
+Joel Janaia,∗, Fatma G¨uneya,∗, Aseem Behla,∗, Andreas Geigera,b
+Autonomous Vision Group, Max Planck Institute for Intelligent Systems, Spemannstr. 41, D-72076 T¨ubingen, Germany
+Computer Vision and Geometry Group, ETH Z¨urich, Universit¨atstrasse 6, CH-8092 Z¨urich, Switzerland"

+576372383bfd6ce6944d885e60b19151efdffc99,Can we unify monocular detectors for autonomous driving by using the pixel-wise semantic segmentation of CNNs?,"Can we unify monocular detectors for autonomous driving
+y using the pixel-wise semantic segmentation of CNNs?
+Eduardo Romera, Luis M. Bergasa, Roberto Arroyo"

+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"

+5725c06b406b5291915a6bef8b5c3d20b2873aa0,Face Recognition Using Principal Component Analysis Based Feature Space by Incorporating with Probabilistic Neural Network,"International Journal of Computer Science Trends and Technology (IJCST) – Volume 4 Issue 2, Mar - Apr 2016
+RESEARCH  ARTICLE
+OPEN  ACCESS
+Face Recognition Using Principal Component Analysis
+Based Feature Space By Incorporating With Probabilistic
+Muhammad  Tahir, Shahid Akbar, Shahzad, Maqsood Hayat, Nazia Azim
+Neural Network
+Department of Computer Science
+Abdul Wali  Khan University
+Mardan - Pakistan"

+5740a5f9cbfe790afc0ba9a425cfb71197927470,Supplementary Material for Superpixel Sampling Networks,"Supplementary Material for
+Superpixel Sampling Networks
+Varun Jampani1, Deqing Sun1, Ming-Yu Liu1,
+Ming-Hsuan Yang1,2, Jan Kautz1
+NVIDIA
+UC Merced
+In Section 1, we formally define the Acheivable Segmentation Accuracy (ASA)
+used for evaluating superpixels. Then, in Section 2, we report F-measure and
+Compactness scores with more visual results on different datasets. We also in-
+lude a supplementary video1 that gives an overview of Superpixel Sampling
+Networks (SSN) with a glimpse of experimental results.
+Evaluation Metrics
+Here, we formally define the Achievable Segmentation Accuracy (ASA) met-
+ric that is used in the main paper. Given an image I with n pixels, let H ∈
+{0, 1,··· , m}n×1 denotes the superpixel segmentation with m superpixels. H is
+j=1 H j, where jth segment is repre-
+sented as H j. Similarly, let G ∈ {0, 1,··· , w}n×1 denotes ground-truth (GT)
+l=1 Gl, where Gl denotes lth GT segment.
+ASA Score. The ASA score between a given superpixel segmentation H and
+the GT segmentation G is defined as"

+573c11e7e00389a033787984223ced536e15c904,Pictorial structures revisited: People detection and articulated pose estimation,"Pictorial Structures Revisited: People Detection and Articulated Pose Estimation
+Mykhaylo Andriluka, Stefan Roth, and Bernt Schiele
+Department of Computer Science, TU Darmstadt"

+5720784b7e45693109b867992e3f93e4c747e536,Sparse Methods for Robust and Efficient Visual Recognition,

+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,
+Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia.
+In  this  paper,  we  investigate  the  verification  performances  of  four  subdivided  face  images  with  varying  expressions.  The
+objective of this study is to evaluate which part of the face image is more tolerant to facial expression and still retains its personal
+haracteristics due to the variations of the image. The Unconstrained Minimum Average Correlation Energy (UMACE) filter is
+implemented to perform the verification process because of its advantages such as shift–invariance, ability to trade-off between
+discrimination and distortion tolerance, e.g. variations in pose, illumination and facial expression. The database obtained from the
+facial expression database of Advanced Multimedia Processing (AMP) Lab at CMU is used in this study. Four equal
+sizes of face regions i.e. bottom, top, left and right halves are used for the purpose of this study. The results show that the bottom
+half of the face region gives the best performance in terms of the PSR values with zero false accepted rate (FAR) and zero false
+rejection rate (FRR) compared to the other three regions.
+. Introduction
+Face  recognition  is  a  well  established  field  of  research,
+nd a large number of algorithms have been proposed in the
+literature. Various classifiers have been explored to improve
+the accuracy of face classification. The basic approach is to
+use distance-base methods which measure Euclidean distance
+etween any two vectors and then compare it with the preset"

+57a1466c5985fe7594a91d46588d969007210581,A taxonomy of face-models for system evaluation,"A Taxonomy of Face-models for System Evaluation
+Vijay N. Iyer, Shane. R. Kirkbride, Brian C. Parks, Walter J. Scheirer and Terrance. E. Boult
+Motivation and Data Types
+Synthetic Data Types
+Unverified – Have no underlying physical or
+statistical basis
+Physics -Based – Based on structure and
+materials combined with the properties
+formally modeled in physics.
+Statistical  – Use statistics from real
+data/experiments to estimate/learn model
+parameters. Generally have measurements
+of accuracy
+Guided Synthetic – Individual models based
+on individual people. No attempt to capture
+properties of large groups, a unique model
+per person. For faces, guided models are
+omposed of 3D structure models and skin
+textures,  capturing many artifacts  not
+easily  parameterized. Can be combined with"

+57246142814d7010d3592e3a39a1ed819dd01f3b,Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-resolution Network,"MITSUBISHI ELECTRIC RESEARCH LABORATORIES
+http://www.merl.com
+Verification of Very Low-Resolution Faces Using An
+Identity-Preserving Deep Face Super-resolution Network
+Ataer-Cansizoglu, E.; Jones, M.J.; Zhang, Z.; Sullivan, A.
+TR2018-116 August 24, 2018"

+57680f0d53392178bb3c431e03bcd8626c12f620,Semantic Image Segmentation,"Workshop track - ICLR 2017
+ADVERSARIAL EXAMPLES FOR
+SEMANTIC IMAGE SEGMENTATION
+Volker Fischer1, Mummadi Chaithanya Kumar2, Jan Hendrik Metzen1 & Thomas Brox2
+Bosch Center for Artificial Intelligence, Robert Bosch GmbH
+University of Freiburg
+{volker.fischer,"

+57ff1222a78a230c46fc81f22daa57981b0fa306,Face recognition in multi-camera surveillance videos using Dynamic Bayesian Network,"Face Recognition
+in Multi-Camera
+Surveillance
+Videos using Dynamic Bayesian Network
+Center for Research
+Le An, Mehran Kafai,  Bir
+Bhanu
+in Intelligent
+Systems,
+University
+of California,
+Riverside
+.edu, mkafai bhanu"

+57e9b0d3ab6295e914d5a30cfaa3b2c81189abc1,Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model,"Self-learning Scene-specific Pedestrian Detectors
+using a Progressive Latent Model
+Qixiang Ye1,4, Tianliang Zhang 1, Qiang Qiu4, Baochang Zhang2, Jie Chen3, and Guillermo Sapiro4
+EECE, University of Chinese Academy of Sciences.
+ASEE, Beihang University. 3CMV, Oulu University. 4ECE, Duke University."

+57b55a7a1adc8ec06285ebaf93995d67cf80c719,External Data Overcomplete Dictionary Similarity Graph ≈ + Probeimage Gallery Compressed Dictionary With Coefficient Design Phase : Operational Phase : CD Compressed Dictionary,

+574705812f7c0e776ad5006ae5e61d9b071eebdb,A Novel Approach for Face Recognition Using PCA and Artificial Neural Network,"Karthik G et al, International Journal of Computer Science and Mobile Computing, Vol.3 Issue.5, May- 2014, pg. 780-787
+Available Online at www.ijcsmc.com
+International Journal of Computer Science and Mobile Computing
+A Monthly Journal of Computer Science and Information Technology
+ISSN 2320–088X
+IJCSMC, Vol. 3, Issue. 5, May 2014, pg.780 – 787
+RESEARCH ARTICLE
+A Novel Approach for Face Recognition
+Using PCA and Artificial Neural Network
+Karthik G1, Sateesh Kumar H C2
+¹Deptartment of Telecommunication Engg., Dayananda Sagar College of Engg., India
+²Department of Telecommunication Engg., Dayananda Sagar College of Engg., India
+email : 2 email :"

+57e8e226e605fe6491111c5dc9461527c5fce56c,Articulated Object Detection,"Articulated Object Detection
+Maciej Halber
+MEng Computer Science
+Submission Date: 26th April 2013
+Supervisors
+Niloy J. Mitra
+Simon Julier
+This report is submitted as part requirement for the MEng Degree in Computer
+Science at UCL. It is substantially the result of my own work except where ex-
+plicitly indicated in the text. The report may be freely copied and distributed
+provided the source is explicitly acknowledged."

+5712cfc11c561c453da6a31d515f4340dacc91a4,3D Facial Expression Reconstruction using Cascaded Regression,"SUBMITTED TO PATTERN RECOGNITION LETTERS
+Cascaded Regression using Landmark
+Displacement for 3D Face Reconstruction
+Fanzi Wu, Songnan Li, Tianhao Zhao, and King Ngi Ngan,Lv Sheng"

+571b83f7fc01163383e6ca6a9791aea79cafa7dd,SeqFace: Make full use of sequence information for face recognition,"SeqFace: Make full use of sequence information for face recognition
+Wei Hu1 ∗
+Yangyu Huang2
+Guodong Yuan2
+Fan Zhang1
+Ruirui Li1
+Wei Li1
+College of Information Science and Technology,
+Beijing University of Chemical Technology, China
+YUNSHITU Corp., China"

+5700291077b509b11fb227f84ee9fc2de8f2df99,Line search and trust region strategies for canonical decomposition of semi-nonnegative semi-symmetric 3rd order tensors,"Line search and trust region strategies for canonical
+decomposition of semi-nonnegative semi-symmetric 3rd
+Julie Coloigner, Ahmad Karfoul, Laurent Albera, Pierre Comon
+order tensors
+To cite this version:
+Julie Coloigner, Ahmad Karfoul, Laurent Albera, Pierre Comon. Line search and trust region
+strategies for canonical decomposition of semi-nonnegative semi-symmetric 3rd order tensors.
+Linear Algebra and Applications, Elsevier - Academic Press, 2014, 450, pp.334-374.
+HAL Id: hal-00945606
+https://hal.archives-ouvertes.fr/hal-00945606
+Submitted on 12 Feb 2014
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destin´ee au d´epˆot et `a la diffusion de documents
+scientifiques de niveau recherche, publi´es ou non,"

+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
+Fang, X.; Sauter, D.A.; van Kleef, G.A.
+Published in:
+Journal of Cross-Cultural Psychology
+0.1177/0022022117736270
+Link to publication
+Citation for published version (APA):
+Fang, X., Sauter, D. A., & van Kleef, G. A. (2018). Seeing mixed emotions: The specificity of emotion perception
+from static and dynamic facial expressions across cultures. Journal of Cross-Cultural Psychology, 49(1), 130-
+48. DOI: 10.1177/0022022117736270
+General rights
+It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s),
+other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons).
+Disclaimer/Complaints regulations
+If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating
+your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask
+the Library: http://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam,
+The Netherlands. You will be contacted as soon as possible."

+573b687ad970e1931debbf366004c0983de28718,A Corpus for Investigating the Multimodal Nature of Multi-Speaker Spontaneous Conversations – EVA Corpus,"A Corpus for Investigating the Multimodal Nature of Multi-Speaker
+Spontaneous Conversations – EVA Corpus
+IZIDOR MLAKAR, ZDRAVKO KAČIČ, MATEJ ROJC
+Faculty of Electrical Engineering and Computer Science, University of Maribor
+SLOVENIA"

+57126589b3fe62c35a36a2646dac3045d095ecf5,Adversarial Defense based on Structure-to-Signal Autoencoders,"Adversarial Defense based on
+Structure-to-Signal Autoencoders
+Joachim Folz(cid:63), Sebastian Palacio(cid:63), Joern Hees, Damian Borth, and Andreas
+Dengel
+German Research Center for Artificial Intelligence (DFKI)
+TU Kaiserslautern"

+57fd8bafa4526b9a56fe43fac22dd62b2ab94563,Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering,"Under review as a conference paper at ICLR 2018
+BEYOND SHARED HIERARCHIES: DEEP MULTITASK
+LEARNING THROUGH SOFT LAYER ORDERING
+Anonymous authors
+Paper under double-blind review"

+57d37ad025b5796457eee7392d2038910988655a,Aeaeêêìáîî Áåèääååaeììáçae Çç Àááêêêàáááä Aeçîîäìì Ììììçê,"GEERAT
VE
EETAT
F
+
+DagaEha
+UdeheS	eviif
+f.DahaWeiha
+ATheiS	b
iediaia
+Re	ie
efheDegeef
+aefSciece
+TheSch
+
+Dece
be2009"

+57e562cf99b3dfbb6baa5bbf665aa6fd97ffe8ca,Expression-Compensated 3D Face Recognition with Geodesically Aligned Bilinear Models,"Expression-Compensated 3D Face Recognition with Geodesically
+Aligned Bilinear Models
+Iordanis Mpiperis1,2,Sotiris Malassiotis1 and Michael G. Strintzis1,2"

+3b319645bfdc67da7d02db766e17a3e0a37be47b,On the relationship between visual attributes and convolutional networks,"On the Relationship between Visual Attributes and Convolutional Networks
+Victor Escorcia1,2, Juan Carlos Niebles2, Bernard Ghanem1
+King Abdullah University of Science and Technology (KAUST), Saudi Arabia. 2Universidad del Norte, Colombia.
+The seminal work of Krizhevsky et al. [3] that trained a large convo-
+lutional network (conv-net) for image-level object recognition on the Ima-
+geNet challenge is considered a major stepping stone for subsequent work in
+onv-net based visual recognition. Such a network is able to automatically
+learn a hierarchy of nonlinear features that richly describe image content as
+well as discriminate between object classes. Recent work [4] has shown that
+features extracted from a conv-net trained on ImageNet are general purpose
+(or black-box) enough to achieve state-of-the-art results in various other
+recognition tasks, including scene, fine-grained, and even action recogni-
+tion. However, unlike hand-crafted features, those learned by a conv-net
+re usually not visually intuitive and straightforward to interpret. Despite
+their excellent recognition performance, understanding and interpreting the
+inner workings of conv-nets remains mostly elusive to the community. It
+is this lack of deep understanding that is currently motivating researchers
+to look under the hood and comprehend how and why these deep networks
+work so well in practice. Inspired by recent observations on the analysis of
+onv-nets [1], this paper takes another step in a similar direction, namely"

+3b1aaac41fc7847dd8a6a66d29d8881f75c91ad5,Sparse Representation-Based Open Set Recognition,"Sparse Representation-based Open Set Recognition
+He Zhang, Student Member, IEEE and Vishal M. Patel, Senior Member, IEEE"

+3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c,A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training,"A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss
+Dynamic Training
+Feng Zheng, Xing Sun, Xinyang Jiang, Xiaowei Guo, Zongqiao Yu, Feiyue Huang
+{winfredsun, sevjiang, scorpioguo, quentinyu,
+YouTu Lab, Tencent
+Shanghai, China"

+3b4177556f1c9f5a8f8e1b2e8d824dee20e388e4,Spatial Weighting for Bag-of-Features,"Spatial Weighting for Bag-of-Features
+Marcin Marsza(cid:7)ek
+Cordelia Schmid
+INRIA Rh(cid:136)one-Alpes, LEAR - GRAVIR
+665 av de l’Europe, 38330 Montbonnot, France"

+3ba3ef6d8394055d43bf4fe62227fbae8ab9b195,Finding images of difficult entities in the long tail,"Finding Images of Difficult Entities in the Long Tail
+Bilyana Taneva
+Max-Planck Institute for
+Informatics
+Saarbrücken, Germany
+Mouna Kacimi
+Free University of
+Bozen-Bolzano
+Italy
+Gerhard Weikum
+Max-Planck Institute for
+Informatics
+Saarbrücken, Germany"

+3bc776eb1f4e2776f98189e17f0d5a78bb755ef4,View Synthesis from Image and Video for Object Recognition Applications,

+3bfa75238e15e869b902ceb62b31ffddbe8ccb0d,Describing Images using Inferred Visual Dependency Representations,"Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics
+nd the 7th International Joint Conference on Natural Language Processing, pages 42–52,
+Beijing, China, July 26-31, 2015. c(cid:13)2015 Association for Computational Linguistics"

+3b14bdb0b1a7353d94973ef4c1578e1bd4a4e35e,Three dimensional binary edge feature representation for pain expression analysis,"Three Dimensional Binary Edge
+Feature Representation for Pain
+Expression Analysis
+Xing Zhang1, Lijun Yin1, Jeffrey F. Cohn2
+State University of New York at Binghamton; 2University of Pittsburgh"

+3beb94f61b5909fca8917b0475983ea2c66f1df2,Shape model fitting algorithm without point correspondence,"0th European Signal Processing Conference (EUSIPCO 2012)
+© EURASIP, 2012  -  ISSN 2076-1465
+. INTRODUCTION"

+3b1b94441010615195a5c404409ce2416860508c,Image Captioning and Visual Question Answering Based on Attributes and External Knowledge,"MANUSCRIPT, 2016
+Image Captioning and Visual Question
+Answering Based on Attributes
+nd External Knowledge
+Qi Wu, Chunhua Shen, Peng Wang, Anthony Dick, Anton van den Hengel"

+3b304585d5af0afe98a85d6e0559315fbf3a7807,An Improved Labelling for the INRIA Person Data Set for Pedestrian Detection,"An Improved Labelling for the INRIA Person
+Data Set for Pedestrian Detection
+Matteo Taiana, Jacinto Nascimento, and Alexandre Bernardino(cid:63)
+Institute for Systems and Robotics, IST, Lisboa, Portugal,
+WWW home page: http://users.isr.ist.utl.pt/~mtaiana"

+3b15a48ffe3c6b3f2518a7c395280a11a5f58ab0,On knowledge transfer in object class recognition,"On Knowledge Transfer in
+Object Class Recognition
+A dissertation approved by
+TECHNISCHE UNIVERSITÄT DARMSTADT
+Fachbereich Informatik
+for the degree of
+Doktor-Ingenieur (Dr.-Ing.)
+presented by
+MICHAEL STARK
+Dipl.-Inform.
+orn in Mainz, Germany
+Prof. Dr.-Ing. Michael Goesele, examiner
+Prof. Martial Hebert, Ph.D., co-examiner
+Prof. Dr. Bernt Schiele, co-examiner
+Date of Submission: 12th of August, 2010
+Date of Defense: 23rd of September, 2010
+Darmstadt, 2010"

+3bbdfa097a4c39012cb322b23051e360c2f7f023,Learning Race from Face: A Survey,"Learning Race from Face: A Survey
+Siyao Fu, Member, IEEE, Haibo He, Senior Member, IEEE, and Zeng-Guang Hou, Senior Member, IEEE"

+3baa3d5325f00c7edc1f1427fcd5bdc6a420a63f,Enhancing convolutional neural networks for face recognition with occlusion maps and batch triplet loss,"Enhancing Convolutional Neural Networks for Face Recognition with
+Occlusion Maps and Batch Triplet Loss
+Daniel S´aez Triguerosa,b, Li Menga,∗, Margaret Hartnettb
+School of Engineering and Technology, University of Hertfordshire, Hatfield AL10 9AB, UK
+IDscan Biometrics (a GBG company), London E14 9QD, UK"

+3b1ba9818e2ee6a54e7ec033c5b2ec8bdbe2935f,Social Signaling Descriptor for Group Behaviour Analysis,"Social Signaling Descriptor for Group
+Behaviour Analysis
+Eduardo M. Pereira1,2(B), Lucian Ciobanu1, and Jaime S. Cardoso1,2
+Faculty of Engineering of the University of Porto, Rua Dr. Roberto Frias, 378,
+INESC TEC, Porto, Portugal
+200 - 465 Porto, Portugal"

+3b996a2e641be7bd395620d30364a27d1558cbad,Tracking Related Multiple Targets in Videos,"Tracking Related Multiple Targets
+in Videos
+DISSERTATION
+zur Erlangung des akademischen Grades
+Doktor/in der technischen Wissenschaften
+eingereicht von
+Nicole M. Artner
+Matrikelnummer 0727746
+n der
+Fakultät für Informatik der Technischen Universität Wien
+Betreuung: O.Univ.Prof. Dipl.Ing. Dr.techn. Walter G. Kropatsch
+Diese Dissertation haben begutachtet:
+(O.Univ.Prof. Dipl.Ing. Dr.techn.
+(Prof. Em. Dr. Horst Bunke)
+Walter G. Kropatsch)
+Wien, 10.10.2013
+(Nicole M. Artner)
+A-1040 Wien (cid:2) Karlsplatz 13 (cid:2) Tel. +43-1-58801-0 (cid:2) www.tuwien.ac.at
+Technische Universität Wien"

+3b6310052026fc641d3fa639647342c45d8f5bd5,Eye Contact Modulates Cognitive Processing Differently in Children With Autism,"Child Development, xxxx 2014, Volume 00, Number 0, Pages 1–11
+Eye Contact Modulates Cognitive Processing Differently in
+Children With Autism
+Terje Falck-Ytter
+Karolinska Institutet and Uppsala University
+Christoffer Carlstr€om and Martin Johansson
+Uppsala University
+In humans, effortful cognitive processing frequently takes place during social interaction, with eye contact
+eing an important component. This study shows that the effect of eye contact on memory for nonsocial infor-
+mation is different in children with typical development than in children with autism, a disorder of social
+ommunication. Direct gaze facilitated memory performance in children with typical development (n = 25,
+6 years old), but no such facilitation was seen in the clinical group (n = 10, 6 years old). Eye tracking con-
+ducted during the cognitive test revealed strikingly similar patterns of eye movements, indicating that the
+results cannot be explained by differences in overt attention. Collectively, these findings have theoretical sig-
+nificance and practical implications for testing practices in children.
+Being looked at is a strong signal, indicating that
+the other person is attending to you and processing
+information about you. In many nonhuman species,
+direct gaze functions as an aversive stimulus, likely
+ecause of the threat value associated with eye con-"

+3b92916dd9d772cf1d167461a548115013a954a8,Unsupervised Framework for Interactions Modeling between Multiple Objects,

+3ba8f8b6bfb36465018430ffaef10d2caf3cfa7e,Local Directional Number Pattern for Face Analysis: Face and Expression Recognition,"Local Directional Number Pattern for Face
+Analysis: Face and Expression Recognition
+Adin Ramirez Rivera, Student Member, IEEE, Jorge Rojas Castillo, Student Member, IEEE,
+nd Oksam Chae, Member, IEEE"

+3b38dc6d4f676ace52672f6788b66c9abb10d702,Ph.D. Showcase: Measuring Terrain Distances Through Extracted Channel Networks,"Ph.D. Showcase: Measuring Terrain Distances Through
+Extracted Channel Networks
+PhD Student:
+Christopher Stuetzle
+Dept. Computer Science
+PhD Superviser:
+W. Randolph Franklin
+Dept. Electrical Engineering
+PhD Superviser:
+Barbara Cutler
+Dept. Computer Science
+Mehrad Kamalzare
+Dept. Civil Engineering
+Zhongxian Chen
+Dept. Computer Science
+Thomas Zimmie
+Dept. Civil Engineering"

+3b9ee03255eb5a0040676eead1767db431e83562,Conference on Computer Vision and Pattern Recognition,"013 IEEE Conference on Computer Vision and Pattern Recognition
+013 IEEE Conference on Computer Vision and Pattern Recognition
+013 IEEE Conference on Computer Vision and Pattern Recognition
+063-6919/13 $26.00 © 2013 IEEE
+063-6919/13 $26.00 © 2013 IEEE
+063-6919/13 $26.00 © 2013 IEEE
+DOI 10.1109/CVPR.2013.236
+DOI 10.1109/CVPR.2013.236
+DOI 10.1109/CVPR.2013.236"

+3b9d94752f8488106b2c007e11c193f35d941e92,"Appearance, Visual and Social Ensembles for Face Recognition in Personal Photo Collections","#2052
+CVPR 2013 Submission #2052. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
+#2052
+Appearance, Visual and Social Ensembles for
+Face Recognition in Personal Photo Collections
+Anonymous CVPR submission
+Paper ID 2052"

+3bd63bea64c770df5049879f4398e65f958ebd23,Predicting an Object Location Using a Global Image Representation,"Predicting an Object Location using a Global Image Representation
+Jose A. Rodriguez-Serrano and Diane Larlus
+Computer Vision Group, Xerox Research Centre Europe"

+3b47e618c5ceb1c16db7f709dd1cfe53d7417b54,Discrimination on the Grassmann Manifold: Fundamental Limits of Subspace Classifiers,"Discrimination on the Grassmann Manifold:
+Fundamental Limits of Subspace Classifiers
+Matthew Nokleby, Member, IEEE, Miguel Rodrigues, Member, IEEE, and Robert Calderbank, Fellow,"

+3b557c4fd6775afc80c2cf7c8b16edde125b270e,Face recognition: Perspectives from the real world,"Face Recognition: Perspectives from the
+Real-World
+Bappaditya Mandal
+Institute for Infocomm Research, A*STAR,
+Fusionopolis Way, #21-01 Connexis (South Tower), Singapore 138632.
+Phone: +65 6408 2071; Fax: +65 6776 1378;
+E-mail:"

+3b2f78a4edf5da876e52513d0e3960da7d3a253f,Qualitative Evaluation of Detection and Tracking Performance,"Qualitative Evaluation of Detection and Tracking
+Performance
+Swaminathan Sankaranarayanan, Francois Bremond, David Tax
+To cite this version:
+Swaminathan Sankaranarayanan, Francois Bremond, David Tax. Qualitative Evaluation of Detection
+nd Tracking Performance. 9th IEEE International Conference On Advanced Video and Signal Based
+Surveillance (AVSS 12), Sep 2012, Beijing, China. IEEE, pp.362-367, 2012, 2012 IEEE Ninth Inter-
+national Conference on Advanced Video and Signal-Based Surveillance. <10.1109/AVSS.2012.57>.
+<hal-00763587>
+HAL Id: hal-00763587
+https://hal.inria.fr/hal-00763587
+Submitted on 14 Dec 2012
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents"

+3b2697d76f035304bfeb57f6a682224c87645065,ImageNet Large Scale Visual Recognition Challenge,"Noname manuscript No.
+(will be inserted by the editor)
+ImageNet Large Scale Visual Recognition Challenge
+Olga Russakovsky* · Jia Deng* · Hao Su · Jonathan Krause ·
+Sanjeev Satheesh · Sean Ma · Zhiheng Huang · Andrej Karpathy ·
+Aditya Khosla · Michael Bernstein · Alexander C. Berg · Li Fei-Fei
+Received: date / Accepted: date"

+3b8ad690f8d43d189ea2f2559c41b6eebac8dcc8,Mobile 3D object detection in clutter,"Mobile 3D Object Detection in Clutter
+David Meger and James J. Little"

+3bf66814817f582510e0f0a717112b78aca075a0,UNIVERSITY OF CALIFORNIA RIVERSIDE Bio-Image Analysis for Understanding Plant Development and Mosquito Behaviors A Dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy,"UNIVERSITY OF CALIFORNIA
+RIVERSIDE
+Bio-Image Analysis for Understanding Plant Development and Mosquito Behaviors
+A Dissertation submitted in partial satisfaction
+of the requirements for the degree of
+Doctor of Philosophy
+Computer Science
+Katya Mkrtchyan
+March 2017
+Dissertation Committee:
+Professor Amit Roy-Chowdhury, Chairperson
+Professor Eamonn Keogh
+Professor Stefano Lonardi
+Professor Tamar Shinar"

+3b2df7d70ecbe3d0d65d27801d159ddaa150bf42,Doubly Sparse Relevance Vector Machine for Continuous Facial Behavior Estimation,"Doubly Sparse Relevance Vector Machine for
+Continuous Facial Behavior Estimation
+Sebastian Kaltwang, Sinisa Todorovic, Member, IEEE and Maja Pantic, Fellow, IEEE"

+3b410ae97e4564bc19d6c37bc44ada2dcd608552,Scalability Analysis of Audio-Visual Person Identity Verification,"Scalability Analysis of Audio-Visual Person
+Identity Verification
+Jacek Czyz1, Samy Bengio2, Christine Marcel2, and Luc Vandendorpe1
+Communications Laboratory,
+Universit´e catholique de Louvain, B-1348 Belgium,
+IDIAP, CH-1920 Martigny,
+Switzerland"

+6f42cb23262066b4034aba99bf674783ed6cac8b,An Empirical Evaluation of various Deep Learning Architectures for Bi-Sequence Classification Tasks,"Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers,
+pages 2762–2773, Osaka, Japan, December 11-17 2016."

+6f5d57460e0e156497c4667a875cc5fa83154e3a,Retinal Verification Using a Feature Points-Based Biometric Pattern,"Hindawi Publishing Corporation
+EURASIP Journal on Advances in Signal Processing
+Volume 2009, Article ID 235746, 13 pages
+doi:10.1155/2009/235746
+Research Article
+Retinal Verification Using a Feature Points-Based
+Biometric Pattern
+M. Ortega,1 M. G. Penedo,1 J. Rouco,1 N. Barreira,1 and M. J. Carreira2
+VARPA Group, Faculty of Informatics, Department of Computer Science, University of Coru˜na, 15071 A Coru˜na, Spain
+Department of Electronics and Computer Science, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
+Correspondence should be addressed to M. Ortega,
+Received 14 October 2008; Accepted 12 February 2009
+Recommended by Natalia A. Schmid
+Biometrics refer to identity verification of individuals based on some physiologic or behavioural characteristics. The typical
+uthentication process of a person consists in extracting a biometric pattern of him/her and matching it with the stored pattern
+for the authorised user obtaining a similarity value between patterns. In this work an ef‌f‌icient method for persons authentication
+is showed. The biometric pattern of the system is a set of feature points representing landmarks in the retinal vessel tree. The
+pattern extraction and matching is described. Also, a deep analysis of similarity metrics performance is presented for the biometric
+system. A database with samples of retina images from users on different moments of time is used, thus simulating a hard and real
+environment of verification. Even in this scenario, the system allows to establish a wide confidence band for the metric threshold"

+6fc129d384431d17eb7aa22afd6ab68f1084f038,Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms,"Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms
+{tag}                                                 {/tag}
+International Journal of Computer Applications
+Foundation of Computer Science (FCS), NY, USA
+Volume 134
+Number 7
+Year of Publication: 2016
+Authors:
+Filani Araoluwa S., Adetunmbi Adebayo O.
+10.5120/ijca2016907932
+{bibtex}2016907932.bib{/bibtex}"

+6f5ce5570dc2960b8b0e4a0a50eab84b7f6af5cb,Low Resolution Face Recognition Using a Two-Branch Deep Convolutional Neural Network Architecture,"Low Resolution Face Recognition Using a
+Two-Branch Deep Convolutional Neural Network
+Architecture
+Erfan Zangeneh, Mohammad Rahmati, and Yalda Mohsenzadeh"

+6fd3bafa25bf6d376bc9d1cc1311eb260d10d024,Facial Recognition Utilizing Patch Based Game Theory,"International Journal of Machine Learning and Computing, Vol. 5, No. 4, August 2015
+Facial Recognition Utilizing Patch Based Game Theory
+Foysal Ahmad, Kaushik Roy, Brian O‟Connor, Joseph Shelton, Pablo Arias, Albert Esterline, and Gerry
+Dozier
+theory.  Texture  based"

+6f8fa219ea82ded79757de59250b7213f9f5a104,OriNet: A Fully Convolutional Network for 3D Human Pose Estimation,"Chenxu Luo1
+Xiao Chu2
+Alan Yuille1
+Department of Computer Science
+The Johns Hopkins University
+Baltimore, MD 21218, USA
+Baidu Research (USA)
+Sunnyvale, CA 94089, USA
+LUO ET AL.: ORINET: A FULLY CONVOLUTIONAL NETWORK FOR 3D HUMAN POSE
+OriNet: A Fully Convolutional Network for 3D
+Human Pose Estimation"

+6f288a12033fa895fb0e9ec3219f3115904f24de,Learning Expressionlets via Universal Manifold Model for Dynamic Facial Expression Recognition,"Learning Expressionlets via Universal Manifold
+Model for Dynamic Facial Expression Recognition
+Mengyi Liu, Student Member, IEEE, Shiguang Shan, Senior Member, IEEE, Ruiping Wang, Member, IEEE,
+Xilin Chen, Senior Member, IEEE"

+6feb0d42232c31eecee5d90290287afe803e88a5,Recognizing Challenging Handwritten Annotations with Fully Convolutional Networks,"Recognizing Challenging Handwritten Annotations
+with Fully Convolutional Networks
+Andreas K¨olsch∗†, Ashutosh Mishra∗, Saurabh Varshneya∗†, Muhammad Zeshan Afzal∗†, Marcus Liwicki∗†‡§
+{a koelsch12, a ashutosh16, s
+MindGarage, University of Kaiserslautern, Germany
+Insiders Technologies GmbH, Kaiserslautern, Germany
+University of Fribourg, Switzerland
+§Lule˚a, University of Technology, Sweden"

+6f41b528abc34c249038f612a6c1033790ace628,Discriminant Subspace Analysis: An Adaptive Approach for Image Classification,"Discriminant Subspace Analysis: An Adaptive
+Approach for Image Classification
+Yijuan Lu, Member, IEEE, and Qi Tian, Senior Member, IEEE"

+6f957df9a7d3fc4eeba53086d3d154fc61ae88df,Modélisation et suivi des déformations faciales : applications à la description des expressions du visage dans le contexte de la langue des signes,"Mod´elisation et suivi des d´eformations faciales :
+pplications `a la description des expressions du visage
+dans le contexte de la langue des signes
+Hugo Mercier
+To cite this version:
+Hugo Mercier. Mod´elisation et suivi des d´eformations faciales : applications `a la description
+des expressions du visage dans le contexte de la langue des signes. Interface homme-machine
+[cs.HC]. Universit´e Paul Sabatier - Toulouse III, 2007. Fran¸cais. <tel-00185084>
+HAL Id: tel-00185084
+https://tel.archives-ouvertes.fr/tel-00185084
+Submitted on 5 Nov 2007
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destin´ee au d´epˆot et `a la diffusion de documents
+scientifiques de niveau recherche, publi´es ou non,"

+6f3a8528841ea323d965d558195710fd8f916ffd,Knowledge Factorization,"Knowledge Factorization
+Anubhav Ashok
+Khushi Gupta
+Nishant Agrawal"

+6f089f9959cc711e16f1ebe0c6251aaf8a65959a,Improvement in object detection using Super Pixels,"International Journal of Engineering Research in Electronic and Communication
+Engineering (IJERECE) Vol 3, Issue 5, May 2016
+Improvement in object detection using Super Pixels
+[1] Shruti D Kadam [2] H.Mallika
+Dept. of Electronics and communication
+M. S. Ramaiah Institute of Technology, Bangalore, Karnataka
+[1] [2]"

+6f5a3c34360caad4644aea897b8fe7dd72076d0f,Self-calibrating Marker Tracking in 3D with Event-Based Vision Sensors,"Self-Calibrating Marker Tracking in 3D
+with Event-Based Vision Sensors
+Georg R. Müller, Jörg Conradt
+Technische Universität München, Arcisstr. 21,
+80290 München, Germany"

+6f1a784ebb8df0689361afe26a2e5f7a1f4c66ca,A unified probabilistic framework for measuring the intensity of spontaneous facial action units,"A Unified Probabilistic Framework For Measuring The Intensity of
+Spontaneous Facial Action Units
+Yongqiang Li1, S. Mohammad Mavadati2, Mohammad H. Mahoor and Qiang Ji
+(AU),"

+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"

+6f9873e2a7bc279c4f0a45c1a6e831ef3ba78ae7,Improving GAN Training via Binarized Representation Entropy (BRE) Regularization,"Published as a conference paper at ICLR 2018
+IMPROVING GAN TRAINING VIA
+BINARIZED REPRESENTATION ENTROPY (BRE)
+REGULARIZATION
+Yanshuai Cao, Gavin Weiguang Ding, Kry Yik-Chau Lui, Ruitong Huang
+Borealis AI
+Canada"

+6fa9bae381274518d3972294d81e460f0c63900b,Personalized Recommendations in Police Photo Lineup Assembling Task,"S. Krajˇci (ed.): ITAT 2018 Proceedings, pp. 157–160
+CEUR Workshop Proceedings Vol. 2203, ISSN 1613-0073, c(cid:13) 2018 Ladislav Peška and Hana Trojanová"

+6f1be86c77492af422e936028858c9180b52b698,Indoor Scene Understanding in 2.5/3D: A Survey,"JOURNAL OF LATEX CLASS FILES, VOL. 6, NO. 1, JULY 2015
+Indoor Scene Understanding in 2.5/3D: A Survey
+Muzammal Naseer, Salman H Khan, Fatih Porikli"

+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
+CMP, Dept. of Cybernetics
+FEE, CTU in Prague
+Radu Timofte
+Computer Vision Lab
+D-ITET, ETH Zurich
+Rasmus Rothe
+Computer Vision Lab
+D-ITET, ETH Zurich
+Luc Van Gool
+PSI, ESAT, KU Leuven
+CVL, D-ITET, ETH Zurich
+Jiˇr´ı Matas
+CMP, Dept. of Cybernetics
+FEE, CTU in Prague"

+6f3391fda6b25796b5e051f822f91243f69276cb,Performance Comparison of Various Face Detection Techniques,"International Journal of Scientific Research Engineering & Technology (IJSRET)
+Volume 2 Issue1   pp 019-0027 April 2013
+ISSN 2278 - 0882
+www.ijsret.org
+Performance Comparison of Various Face Detection Techniques
+Mohammed Javed, 2Bhaskar Gupta
+M.Tech. Student, Jamia Hamdard, New Delhi
+Associate Professor,ECE,BBDIT,Ghaziabad,UP
+Corresponding Author"

+6f08885b980049be95a991f6213ee49bbf05c48d,Author's Personal Copy Multi-kernel Appearance Model ☆,"This article appeared in a journal published by Elsevier. The attached
+opy is furnished to the author for internal non-commercial research
+nd education use, including for instruction at the authors institution
+nd sharing with colleagues.
+Other uses, including reproduction and distribution, or selling or
+licensing copies, or posting to personal, institutional or third party
+websites are prohibited.
+In most cases authors are permitted to post their version of the
+rticle (e.g. in Word or Tex form) to their personal website or
+institutional repository. Authors requiring further information
+regarding Elsevier’s archiving and manuscript policies are
+encouraged to visit:
+http://www.elsevier.com/authorsrights"

+6fc8c988dd841c6c4f5e96b1b1458b6aa564b2de,Crowd Counting via Scale-Adaptive Convolutional Neural Network,"Crowd counting via scale-adaptive convolutional neural network
+Lu Zhang∗†
+Tencent Youtu
+Miaojing Shi∗
+Qiaobo Chen†
+Inria Rennes & Tencent Youtu
+Shanghai Jiaotong University"

+6fa39c0221c8bcae9146d31646cd9f70aba7190c,Review on Histopathological Slide Analysis using Digital Microscopy,"International Journal of Advanced Science and Technology
+Vol.62, (2014), pp.65-96
+http://dx.doi.org/10.14257/ijast.2014.62.06
+Review on Histopathological Slide Analysis using Digital Microscopy
+Sangita Bhattacharjee1, Jashojit Mukherjee1, Sanjay Nag1, Indra Kanta Maitra2 and
+Samir K. Bandyopadhyay1
+Department of Computer Science and Engineering, University of Calcutta, India
+B. P. Poddar Institute of Management and Technology, Kolkata, India"

+6f41e2ba877ec690bd1c9e5e8742c4088f95c346,Clockwork Convnets for Video Semantic Segmentation,"Clockwork Convnets for Video Semantic Segmentation
+Evan Shelhamer(cid:63)
+Kate Rakelly(cid:63)
+Judy Hoffman(cid:63)
+Trevor Darrell
+UC Berkeley"

+6f8fc12004fa068c424369793fd39426e772b07d,Demystifying Core Ranking in Pinterest Image Search,"Demystifying Core Ranking in Pinterest Image Search
+Linhong Zhu
+Pinterest & USC/ISI"

+6fe149e588a5bf15bf89edfedb1a29cc31384ddc,Fully Convolutional Networks for Automated Segmentation of Abdominal Adipose Tissue Depots in Multicenter Water-Fat MRI,"Fully Convolutional Networks for Automated Segmentation
+of Abdominal Adipose Tissue Depots in Multicenter
+Water-Fat MRI
+Taro Langner1*, Anders Hedstr¨om2, Katharina Paulmichl3,4, Daniel Weghuber3,4,
+Anders Forslund5, Peter Bergsten5,6, H˚akan Ahlstr¨om1,2, Joel Kullberg1,2
+Dept. of Radiology, Uppsala University, Uppsala, Sweden
+Antaros Medical, BioVenture Hub, M¨olndal, Sweden
+Dept. of Pediatrics, Paracelsus Medical University, 5020 Salzburg, Austria
+Obesity Research Unit, Paracelsus Medical University, 5020 Salzburg, Austria
+5Dept. of Women’s and Children’s Health, Uppsala University, Uppsala, SE 751 05, Sweden
+6Dept. of Medical Cell Biology, Uppsala University, Uppsala, SE 751 23, Sweden"

+6f35b6e2fa54a3e7aaff8eaf37019244a2d39ed3,Learning probabilistic classifiers for human–computer interaction applications,"DOI 10.1007/s00530-005-0177-4
+R E G U L A R PA P E R
+Nicu Sebe · Ira Cohen · Fabio G. Cozman ·
+Theo Gevers · Thomas S. Huang
+Learning probabilistic classifiers for human–computer
+interaction applications
+Published online: 10 May 2005
+(cid:1) Springer-Verlag 2005
+intelligent
+interaction,"

+6f3054f182c34ace890a32fdf1656b583fbc7445,Age Estimation Robust to Optical and Motion Blurring by Deep Residual CNN,"Article
+Age Estimation Robust to Optical and Motion
+Blurring by Deep Residual CNN
+Jeon Seong Kang, Chan Sik Kim, Young Won Lee, Se Woon Cho and Kang Ryoung Park *
+Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro, 1-gil, Jung-gu,
+Seoul 100-715, Korea; (J.S.K.); (C.S.K.);
+(Y.W.L.); (S.W.C.)
+* Correspondence: Tel.: +82-10-3111-7022; Fax: +82-2-2277-8735
+Received: 9 March 2018; Accepted: 10 April 2018; Published: 13 April 2018"

+6f53466b17a2f9da4dbd1d870e822a1f8e837044,Image Aesthetic Assessment: An experimental survey,"Image Aesthetic Assessment:
+An Experimental Survey
+Yubin Deng, Chen Change Loy, Member, IEEE, and Xiaoou Tang, Fellow, IEEE"

+6fa3857faba887ed048a9e355b3b8642c6aab1d8,Face Recognition in Challenging Environments: An Experimental and Reproducible Research Survey,"Face Recognition in Challenging Environments:
+An Experimental and Reproducible Research
+Survey
+Manuel G¨unther and Laurent El Shafey and S´ebastien Marcel"

+6f8ea33c29de7ef94f674c4c847185a127c6ea2f,Cue Integration by Similarity Rank List Coding - Application to Invariant Object Recognition,"nd IEEE International Workshops on Foundations and Applications of Self* Systems
+nd IEEE International Workshops on Foundations and Applications of Self* Systems
+Cue Integration by Similarity Rank List Coding —
+Application to Invariant Object Recognition
+Raul Grieben and Rolf P. W¨urtz
+Institut f¨ur Neuroinformatik, Ruhr-Universit¨at Bochum,44780 Bochum, Germany"

+6f79c4b82f9ccdee918659a8f7091b8ab99fe889,Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering,"Mono-Camera 3D Multi-Object Tracking Using
+Deep Learning Detections and PMBM Filtering
+Samuel Scheidegger∗†, Joachim Benjaminsson∗†, Emil Rosenberg†, Amrit Krishnan∗, Karl Granstr¨om†
+Zenuity, †Department of Electrical Engineering, Chalmers University of Technology"

+6f7ce89aa3e01045fcd7f1c1635af7a09811a1fe,A novel rank order LoG filter for interest point detection,"978-1-4673-0046-9/12/$26.00 ©2012 IEEE
+ICASSP 2012"

+6fe2efbcb860767f6bb271edbb48640adbd806c3,Soft Biometrics; Human Identification Using Comparative Descriptions,"SOFT BIOMETRICS: HUMAN IDENTIFICATION USING COMPARATIVE DESCRIPTIONS
+Soft Biometrics; Human Identification using
+Comparative Descriptions
+Daniel A. Reid, Mark S. Nixon, Sarah V. Stevenage"

+6fdc0bc13f2517061eaa1364dcf853f36e1ea5ae,DAISEE: Dataset for Affective States in E-Learning Environments,"DAISEE: Dataset for Affective States in
+E-Learning Environments
+Abhay Gupta1, Richik Jaiswal2, Sagar Adhikari2, Vineeth Balasubramanian2
+Microsoft India R&D Pvt. Ltd.
+Department of Computer Science, IIT Hyderabad
+{cs12b1032, cs12b1034,"

+6f5151c7446552fd6a611bf6263f14e729805ec7,Facial Action Unit Recognition using Filtered Local Binary Pattern Features with Bootstrapped and Weighted ECOC Classi ers,".=?E= )?JE 7EJ 4A?CEJE KIEC
+?= *E=HO 2=JJAH .A=JKHAI MEJD
+-++ +=IIE
AHI
+55EJD
++AJHA BH 8EIE 5FAA?D 5EC= 2H?AIIEC 7ELAHIEJO B 5KHHAO
+5KHHAO /7  %:0 7
+)>IJH=?J 9EJDE JDA ?JANJ B=?A ANFHAIIE ?=IIE
?=JE KIEC JDA
+B=?E= =?JE IOIJA .)+5 MA JDA FH>A B
+EC B=?E= =?JE KEJI )7I 6DA EI J JH=E = IECA
+AHHH?HHA?JEC KJFKJ -++ KJE?=II ?=IIE
AH J AIJE=JA JDA
+FH>=>EEJEAI JD=J A=?D A B IALAH= ?O ??KHHEC )7 CHKFI EI
+FHAIAJ E JDA FH>A E=CA 2=JJ I?=EC EI J ?=E>H=JA JDA -++
+KJFKJI J FH>=>EEJEAI =FFHFHE=JA IKI B JDAIA FH>=>EEJEAI =HA
+J=A J >J=E = IAF=H=JA FH>=>EEJO BH A=?D )7 .A=JKHA
+ANJH=?JE EI >O CAAH=JEC = =HCA K>AH B ?= >E=HO F=J
+JAH *2 BA=JKHAI JDA IAA?JEC BH JDAIA KIEC B=IJ ?HHA=JE
+
JAHEC .+*. 6DA >E=I L=HE=?A FHFAHJEAI B JDA ?=IIE
AH
+=HA MA IDM JD=J >JD JDAIA IKH?AI B AHHH ?= >A HA
+>O AD=?EC -++ JDHKCD JDA =FFE?=JE B >JIJH=FFEC
+?=IIIAF=H=>EEJO MAECDJEC"

+03e83659f0fc98dd03c354a2cc7a90d585ff9cf5,Face Recognition Using Holistic Features and Within Class Scatter-Based PCA,"GSTF JOURNAL ON COMPUTING, VOL. 3, NO. 2, JUNE 2013
+(cid:2)(cid:3)(cid:4)(cid:5)(cid:1)(cid:6)(cid:7)(cid:8)(cid:9)(cid:10)(cid:7)(cid:11)(cid:8)(cid:12)(cid:13)(cid:7)(cid:11)(cid:14)(cid:1)(cid:15)(cid:13)(cid:16)(cid:10)(cid:7)(cid:11)(cid:14)(cid:1)(cid:13)(cid:7)(cid:1)(cid:17)(cid:13)(cid:18)(cid:19)(cid:16)(cid:8)(cid:12)(cid:7)(cid:20)(cid:1)(cid:21)(cid:15)(cid:13)(cid:17)(cid:22)(cid:23)(cid:1)(cid:24)(cid:13)(cid:14)(cid:25)(cid:1)(cid:26)(cid:1)(cid:27)(cid:13)(cid:25)(cid:1)(cid:28)(cid:23)(cid:1)(cid:15)(cid:16)(cid:14)(cid:29)(cid:1)(cid:28)(cid:30)(cid:31)(cid:26)
+DOI 10.7603/s40601-013-0002-4
+Face Recognition Using Holistic Features and
+Within Class Scatter-Based PCA
+I Gede Pasek Suta Wijaya, Non-Member, IEEE, Keiichi Uchimura, Non-Member, IEEE,
+Gou Koutaki, Non-Member, IEEE"

+034050422f90938a43e9cfd292187aef124fef61,Race recognition from face images using Weber local descriptor,"Paper 1569528513
+IWSSIP 2012, 11-13 April 2012, Vienna, Austria
+. INTRODUCTION"

+03c56c176ec6377dddb6a96c7b2e95408db65a7a,A Novel Geometric Framework on Gram Matrix Trajectories for Human Behavior Understanding,"A Novel Geometric Framework on Gram Matrix
+Trajectories for Human Behavior Understanding
+Anis Kacem, Mohamed Daoudi, Boulbaba Ben Amor, Stefano Berretti, and Juan Carlos Alvarez-Paiva"

+031d22b08d9e8235f46679b89e273ab8723d3e67,Zero-Aliasing Correlation Filters for Object Recognition,"Zero-Aliasing Correlation Filters for Object
+Recognition
+Joseph A. Fernandez, Student Member, IEEE, Vishnu Naresh Boddeti, Member, IEEE, Andres Rodriguez,
+Member, IEEE, B. V. K. Vijaya Kumar, Fellow, IEEE"

+0322e69172f54b95ae6a90eb3af91d3daa5e36ea,Face Classification using Adjusted Histogram in Grayscale,"Face Classification using Adjusted Histogram in
+Grayscale
+Weenakorn Ieosanurak, and Watcharin Klongdee"

+03f7041515d8a6dcb9170763d4f6debd50202c2b,Clustering Millions of Faces by Identity,"Clustering Millions of Faces by Identity
+Charles Otto, Student Member, IEEE, Dayong Wang, Member, IEEE, and Anil K. Jain, Fellow, IEEE"

+038ce930a02d38fb30d15aac654ec95640fe5cb0,Approximate structured output learning for Constrained Local Models with application to real-time facial feature detection and tracking on low-power devices,"Approximate Structured Output Learning for Constrained Local
+Models with Application to Real-time Facial Feature Detection and
+Tracking on Low-power Devices
+Shuai Zheng, Paul Sturgess and Philip H. S. Torr"

+03df507b31691baeb7343d3eb70d048943e2d4f4,Exploring the Use of Local Descriptors for Fish Recognition in LifeCLEF 2015,"Exploring the use of local descriptors for fish
+recognition in LifeCLEF 2015
+Jorge Cabrera-G´amez, Modesto Castrill´on-Santana, Antonio Dom´ınguez-Brito,
+Daniel Hern´andez-Sosa, Josep Isern-Gonz´alez, and Javier Lorenzo-Navarro
+Universidad de Las Palmas de Gran Canaria
+SIANI
+Spain
+http://berlioz.dis.ulpgc.es/roc-siani"

+03c1fc9c3339813ed81ad0de540132f9f695a0f8,Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification,"Proceedings of Machine Learning Research 81:1–15, 2018
+Conference on Fairness, Accountability, and Transparency
+Gender Shades: Intersectional Accuracy Disparities in
+Commercial Gender Classification∗
+Joy Buolamwini
+MIT Media Lab 75 Amherst St. Cambridge, MA 02139
+Timnit Gebru
+Microsoft Research 641 Avenue of the Americas, New York, NY 10011
+Editors: Sorelle A. Friedler and Christo Wilson"

+032c1e19a59cdbeb3fb741a812980f52c1461ce1,"Mining textural knowledge in biological images: Applications, methods and trends","Computational and Structural Biotechnology Journal 15 (2017) 56–67
+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 s b j
+Mining textural knowledge in biological images: Applications, methods
+nd trends
+Santa Di Cataldo*, Elisa Ficarra
+Dept. of Computer and Control Engineering, Politecnico di Torino, Cso Duca degli Abruzzi 24, Torino 10129, Italy
+A R T I C L E
+I N F O
+A B S T R A C T
+Article history:
+Received 25 August 2016
+Received in revised form 14 November 2016
+Accepted 15 November 2016
+Available online 24 November 2016
+Keywords:
+Textural analysis
+Bioimaging
+Textural features extraction
+Texture classification
+Feature encoding"

+035c606bc6a05e2018e57859737877043673b7b9,Fine-Grained Image Classification by Exploring Bipartite-Graph Labels,"Fine-grained Image Classification by Exploring Bipartite-Graph Labels
+Feng Zhou
+NEC Labs
+Yuanqing Lin
+NEC Labs
+www.f-zhou.com"

+0339459a5b5439d38acd9c40a0c5fea178ba52fb,Multimodal recognition of emotions in car environments,"D|C|I&I 2009 Prague
+Multimodal recognition of emotions in car
+environments
+Dragoş DatcuA and Léon J.M. RothkrantzB"

+0393723dff4c00262c1daf34c26d27fa6fc52ab6,Pedestrian detection in outdoor images using color and gradients,"Pedestrian Detection in Outdoor Images using Color and Gradients
+Marcel H¨aselich
+Michael Klostermann
+Dietrich Paulus
+Active Vision Group, University of Koblenz-Landau, 56070 Koblenz, Germany
+{mhaeselich, michaelk,"

+030ff7012b92b805a60976f8dbd6a08c1cecebe6,DCAN: Dual Channel-Wise Alignment Networks for Unsupervised Scene Adaptation,

+0315c68902edca77d2c15cfc1f1335d55343c715,Towards optimal distortion-based visual privacy filters,"TOWARDS OPTIMAL DISTORTION-BASED VISUAL PRIVACY FILTERS
+Pavel Korshunov and Touradj Ebrahimi
+Multimedia Signal Processing Group, EPFL, Lausanne, Switzerland"

+03889b0e8063532ae56d36dd9c54c3784a69e4d4,Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence,"Learning to Play Guess Who? and Inventing a
+Grounded Language as a Consequence
+Emilio Jorge1, Mikael Kågebäck2, and Emil Gustavsson1
+Fraunhofer-Chalmers Centre , Göteborg, Sweden ,
+Computer Science & Engineering , Chalmers University of Technology , Göteborg, Sweden ,"

+033e3fe75da26d8d3dd3cb0f99640181655e6746,From generic to specific deep representations for visual recognition,"Factors of Transferability for a Generic ConvNet Representation
+Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, Atsuto Maki, Stefan Carlsson
+{azizpour, razavian, sullivan, atsuto,
+Computer Vision and Active Perception (CVAP), Royal Institute of Technology (KTH), Stockholm, SE-10044 Sweden
+Evidence is mounting that Convolutional Networks (ConvNets) are the most effective representation learning method for visual
+recognition tasks. In the common scenario, a ConvNet is trained on a large labeled dataset (source) and the feed-forward units
+ctivation of the trained network, at a certain layer of the network, is used as a generic representation of an input image for a
+task with relatively smaller training set (target). Recent studies have shown this form of representation transfer to be suitable for a
+wide range of target visual recognition tasks. This paper introduces and investigates several factors affecting the transferability of
+such representations. It includes parameters for training of the source ConvNet such as its architecture, distribution of the training
+data, etc. and also the parameters of feature extraction such as layer of the trained ConvNet, dimensionality reduction, etc. Then,
+y optimizing these factors, we show that significant improvements can be achieved on various (17) visual recognition tasks. We
+further show that these visual recognition tasks can be categorically ordered based on their distance from the source task such that
+correlation between the performance of tasks and their distance from the source task w.r.t. the proposed factors is observed.
+Index Terms—Convolutional Neural Networks, Transfer Learning, Representation Learning, Deep Learning, Visual Recognition
+I. INTRODUCTION
+C ONVOLUTIONAL NETWORKS (ConvNets) trace back
+to the early works on digit and character recognition
+[11], [23]. Prior to 2012, though, in computer vision field,
+neural networks were more renowned for their propensity to"

+032825000c03b8ab4c207e1af4daeb1f225eb025,A Novel Approach for Human Face Detection in Color Images Using Skin Color and Golden Ratio,"J. Appl. Environ. Biol. Sci., 7(10)159-164, 2017
+ISSN: 2090-4274
+© 2017, TextRoad Publication
+Journal of Applied Environmental
+nd Biological Sciences
+www.textroad.com
+A Novel Approach for Human Face Detection in Color Images Using Skin
+Color and Golden Ratio
+Faizan Ullah*1, Dilawar Shah1, Sabir Shah1, Abdus Salam2, Shujaat Ali1
+Department of Computer Science, Bacha Khan University, Charsadda, KPK, Pakistan1
+Department of Computer Science, Abdul WaliKhan University, Mardan, KPK, Pakistan2
+Received: May 9, 2017
+Accepted: August 2, 2017"

+03a8f53058127798bc2bc0245d21e78354f6c93b,Max-margin additive classifiers for detection,"Max-Margin Additive Classifiers for Detection
+Subhransu Maji and Alexander C. Berg
+Sam Hare
+VGG Reading Group
+October 30, 2009"

+034f7d5b3878f8b2db92a7cb7f12edcd5681eca7,FAST Pre-Filtering-Based Real Time Road Sign Detection for Low-Cost Vehicle Localization,"Article
+FAST Pre-Filtering-Based Real Time Road Sign
+Detection for Low-Cost Vehicle Localization
+Kyoungtaek Choi 1, Jae Kyu Suhr 2
+Department of Electronic Engineering, Korea National University of Transportation, 50 Daehak-ro,
+nd Ho Gi Jung 1,*
+Chungju-si 27469, Korea;
+School of Intelligent Mechatronics Engineering, Sejong University, 209 Neungdong-ro, Gwangjin-gu,
+Seoul 05006, Korea;
+* Correspondence: Tel. +82-43-841-5366
+Received: 11 September 2018; Accepted: 16 October 2018; Published: 22 October 2018"

+0313924b600ebb8f608705d96c06b133b3b9627a,Deciphering the Crowd: Modeling and Identification of Pedestrian Group Motion,"Sensors 2013, 13, 875-897; doi:10.3390/s130100875
+OPEN ACCESS
+sensors
+ISSN 1424-8220
+www.mdpi.com/journal/sensors
+Article
+Deciphering the Crowd: Modeling and Identification of
+Pedestrian Group Motion
+Zeynep Y¨ucel *, Francesco Zanlungo, Tetsushi Ikeda, Takahiro Miyashita and Norihiro Hagita
+Intelligent Robotics and Communication Laboratories, Advanced Telecommunications Research
+Institute International, Kyoto 619-0288, Japan; E-Mails: (F.Z.); (T.I.);
+(T.M.); (N.H.)
+* Author to whom correspondence should be addressed; E-Mail:
+Tel.: +81-774-95-1405.
+Received: 14 December 2012; in revised form: 20 December 2012 / Accepted: 4 January 2013 /
+Published: 14 January 2013"

+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"

+0306a275e80d11d65c4261b8f3d45317a49c1bf7,Optimal Architecture for Deep Neural Networks with Heterogeneous Sensitivity,"Optimal Architecture for Deep Neural Networks
+with Heterogeneous Sensitivity
+Hyunjoong Cho, Jinhyeok Jang, Chanhyeok Lee, and Seungjoon Yang"

+035ef7b25991b0f7ea841a2270ed053198aab09e,"Retrieval of Images with Objects of Specific Size, Location, and Spatial Configuration","Retrieval of images with objects of specific size, location and spatial configuration
+Niloufar Pourian
+B.S. Manjunath
+Department of Electrical and Computer Engineering
+University of California, Santa Barbara, United States"

+036fac2b87cf04c3d93e8a59da618d56a483a97d,Query Adaptive Late Fusion for Image Retrieval,"MANUSCRIPT
+Query Adaptive Late Fusion for Image Retrieval
+Zhongdao Wang, Liang Zheng, Shengjin Wang"

+038b8b2b629a8ba1e2ad6f9319e16b68e83e518a,Assessing Water Stress of Desert Tamarugo Trees Using in situ Data and Very High Spatial Resolution Remote Sensing,"Remote Sens. 2013, 5, 5064-5088; doi:10.3390/rs5105064
+OPEN ACCESS
+ISSN 2072-4292
+www.mdpi.com/journal/remotesensing
+Article
+Assessing Water Stress of Desert Tamarugo Trees Using in situ
+Roberto O. Chávez 1,*, Jan G. P. W. Clevers 1, Martin Herold 1, Edmundo Acevedo 2
+nd Mauricio Ortiz 2,3
+6700 AA Wageningen, The Netherlands; E-Mails: (J.G.P.W.C.);
+(M.H.)
+Laboratorio de Relación Suelo-Agua-Planta, Facultad de Ciencias Agronómicas,
+Universidad de Chile, Casilla 1004, Santiago, Chile; E-Mail: (E.A.);
+(M.O.)
+Centro de Estudios Avanzados en Fruticultura (CEAF), Conicyt-Regional R08I1001,
+Av. Salamanca s/n, Rengo, Chile
+*  Author to whom correspondence should be addressed; E-Mails: or
+Tel.: +31-317-481-552; Fax: +31-317-419-000.
+Received: 24 July 2013; in revised form: 12 September 2013 / Accepted: 9 October 2013 /
+Published: 15 October 2013"

+03f6d738f9b916f80ce22c3ba605a0fa4d7830c1,Automated Reconstruction of Evolving Curvilinear Tree Structures,"POUR L'OBTENTION DU GRADE DE DOCTEUR ÈS SCIENCESacceptée sur proposition du jury:Prof. P. Dillenbourg, président du juryProf. P. Fua, directeur de thèseDr F. Moreno-Noguer, rapporteurDr R. Sznitman, rapporteurProf. S. Süsstrunk, rapporteuseAutomated Reconstruction of Evolving Curvilinear Tree StructuresTHÈSE NO 6930 (2016)ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNEPRÉSENTÉE LE 18 MARS 2016À LA FACULTÉ INFORMATIQUE ET COMMUNICATIONSLABORATOIRE DE VISION PAR ORDINATEURPROGRAMME DOCTORAL EN INFORMATIQUE ET COMMUNICATIONS Suisse2016PAR(cid:51)(cid:85)(cid:93)(cid:72)(cid:80)(cid:92)(cid:86)(cid:227)(cid:68)(cid:90)(cid:3)(cid:53)(cid:68)(cid:73)(cid:68)(cid:227)(cid:3)(cid:42)(cid:226)(cid:50)(cid:58)(cid:36)(cid:38)(cid:46)(cid:44)"

+034516f37171e7e6cffb8afa84c1f5d6d12d887f,Comparative Analysis of Content Based Image Retrieval using Texture Features for Plant Leaf Diseases,"International Journal of Applied Engineering Research ISSN 0973-4562 Volume 11, Number 9 (2016) pp6244-6249
+© Research India Publications.  http://www.ripublication.com
+Comparative Analysis of Content Based Image Retrieval using Texture
+Features for Plant Leaf Diseases
+Ph.D. Scholar, Bharati Vidyapeeth Deemed University College of Engineering Pune, Maharashtra, India
+Jayamala K.Patil
+Professor, Defense Institute of Advanced Tech., Deemed University, Girinagar
+Raj Kumar"

+03adcf58d947a412f3904a79f2ab51cfdf0e838a,Video-based face recognition: a survey,"World Journal of Science and Technology 2012, 2(4):136-139
+ISSN: 2231 – 2587
+Available Online: www.worldjournalofscience.com
+_________________________________________________________________
+Proceedings of ""Conference on Advances in Communication and Computing (NCACC'12)”
+Held at R.C.Patel Institute of Technology, Shirpur, Dist. Dhule,Maharastra,India.
+April 21, 2012
+Video-based face recognition: a survey
+Shailaja A Patil1 and Pramod J Deore2
+Department of Electronics and Telecommunication, R.C.Patel Institute of Technology,Shirpur,Dist.Dhule.Maharashtra,India."

+03ae36b2ed0215b15c5bc7d42fbe20b1491e551a,Learning scene-specific pedestrian detectors without real data,"Learning Scene-Specific Pedestrian Detectors without Real Data
+Hironori Hattori1, Vishnu Naresh Boddeti2, Kris Kitani2, Takeo Kanade2
+Sony Corporation. 2Carnegie Mellon University.
+Figure 1: Overview: For every grid location, geometrically correct renderings of pedestrian are synthetically generated using known scene information
+such as camera calibration parameters, obstacles (red), walls (blue) and walkable areas (green). All location-specific pedestrian detectors are trained
+jointly to learn a smoothly varying appearance model. Multiple scene-and-location-specific detectors are run in parallel at every grid location.
+Consider the scenario in which a new surveillance system is installed
+in a novel location and an image-based pedestrian detector must be trained
+without access to real scene-specific pedestrian data. A similar situation
+may arise when a new imaging system (i.e., a custom camera with unique
+lens distortion) has been designed and must be able to detect pedestrians
+without the expensive process of collecting data with the new imaging de-
+vice. One can use a generic pedestrian detection algorithm trained over co-
+pious amounts of real data to work robustly across many scenes. However,
+generic models are not always best-suited for detection in specific scenes.
+In many surveillance scenarios, it is more important to have a customized
+pedestrian detection model that is optimized for a single scene. Optimiz-
+ing for a single scene however often requires a labor intensive process of
+ollecting labeled data – drawing bounding boxes of pedestrians taken with
+particular camera in a specific scene. The process also takes time, as"

+03f14159718cb495ca50786f278f8518c0d8c8c9,Performance evaluation of HOG and Gabor features for vision-based vehicle detection,"015 IEEE International Conference on Control System, Computing and Engineering, Nov 27 – Nov 29, 2015 Penang, Malaysia
+015 IEEE International Conference on Control System,
+Computing and Engineering (ICCSCE2015)
+Technical Session 1A – DAY 1 – 27th Nov 2015
+Time: 3.00 pm – 4.30 pm
+Venue: Jintan
+Topic: Signal and Image Processing
+.00 pm – 3.15pm
+.15 pm – 3.30pm
+.30 pm – 3.45pm
+.45 pm – 4.00pm
+.00 pm – 4.15pm
+.15 pm – 4.30pm
+.30 pm – 4.45pm
+A 01 ID3
+Can  Subspace  Based  Learning  Approach  Perform  on  Makeup  Face
+Recognition?
+Khor Ean Yee, Pang Ying Han, Ooi Shih Yin and Wee Kuok Kwee
+A 02 ID35
+Performance  Evaluation  of  HOG  and  Gabor  Features  for  Vision-based"

+0394040749195937e535af4dda134206aa830258,Geodesic entropic graphs for dimension and entropy estimation in manifold learning,"Geodesic Entropic Graphs for Dimension and
+Entropy Estimation in Manifold Learning
+Jose A. Costa and Alfred O. Hero III
+December 16, 2003"

+03f3bde03f83c3ff4f346d761fde4ce031dd4c69,Deep Models Calibration with Bayesian Neural Networks,"Under review as a conference paper at ICLR 2019
+DEEP MODELS CALIBRATION WITH BAYESIAN NEURAL
+NETWORKS
+Anonymous authors
+Paper under double-blind review"

+0365ea467c169134e858bb668a8e19bd251019e7,Orthogonal Neighborhood Preserving Projections: A Projection-Based Dimensionality Reduction Technique,"Orthogonal Neighborhood Preserving Projections: A
+projection-based dimensionality reduction technique ∗
+E. Kokiopoulou †
+Y. Saad‡
+March 21, 2006"

+03161081b47eba967fd3e663c57ec2f99f66eebd,Face and Facial Feature Localization,"Face and facial feature localization
+Paola Campadelli?, Raffaella Lanzarotti??, Giuseppe Lipori, and Eleonora Salvi
+Dipartimento di Scienze dell’Informazione
+Universit(cid:30)a degli Studi di Milano
+Via Comelico, 39/41 - 20135 Milano, Italy
+fcampadelli, lanzarotti,
+http://homes.dsi.unimi.it/(cid:24)campadel/LAIV/"

+031532cc5c4e64e02e796360a16f89580a0ba552,Nonnegative Decompositions for Dynamic Visual Data Analysis,"Nonnegative Decompositions for
+Dynamic Visual Data Analysis
+Lazaros Zafeiriou, Member, IEEE, Yannis Panagakis, Member, IEEE,
+Maja Pantic, Fellow, IEEE, and Stefanos Zafeiriou, Member, IEEE"

+03ea398fcefc53a1bd041346c895aadcffed0261,Learning an Alphabet of Shape and Appearance for Multi-Class Object Detection,"Int J Comput Vis
+DOI 10.1007/s11263-008-0139-3
+Learning an Alphabet of Shape and Appearance for Multi-Class
+Object Detection
+Andreas Opelt · Axel Pinz · Andrew Zisserman
+Received: 28 February 2007 / Accepted: 4 April 2008
+© The Author(s) 2008"

+03ed6f09a29fe5d0dbf6d59798f88a5311c966d3,Re-identification with RGB-D Sensors,"Re-identi(cid:12)cation with RGB-D sensors
+Igor Barros Barbosa1;3, Marco Cristani1;2, Alessio Del Bue1,
+Loris Bazzani1, and Vittorio Murino1
+Pattern Analysis and Computer Vision (PAVIS) - Istituto Italiano di Tecnologia
+(IIT), Via Morego 30, 16163 Genova, Italy
+Dipartimento di Informatica, University of Verona,
+Strada Le Grazie 15, 37134 Verona, Italy
+Universit(cid:19)e de Bourgogne, 720 Avenue de lEurope, 71200 Le Creusot, France"

+036a8cb922a30d766b0fc0ba5954098a1d2a09f5,Learning Similarities for Rigid and Non-rigid Object Detection,"Learning Similarities for Rigid and Non-Rigid Object Detection
+Asako Kanezaki
+The Univ. of Tokyo
+Emanuele Rodol`a
+TU Munich
+Daniel Cremers
+TU Munich
+Tatsuya Harada
+The Univ. of Tokyo"

+037e17ac0272b4db0d4761067dbf0ee56d91e6dd,A New Multi-modal Dataset for Human Affect Analysis,"A New Multi-Modal Dataset for Human Affect
+Analysis
+nonymous for review
+nonymous for review"

+03ac1c694bc84a27621da6bfe73ea9f7210c6d45,Chapter 1 Introduction to information security foundations and applications,"Chapter 1
+Introduction to information security
+foundations and applications
+Ali Ismail Awad1,2
+.1 Background
+Information security has extended to include several research directions like user
+uthentication and authorization, network security, hardware security, software secu-
+rity, and data cryptography. Information security has become a crucial need for
+protecting almost all information transaction applications. Security is considered as
+n important science discipline whose many multifaceted complexities deserve the
+synergy of the computer science and engineering communities.
+Recently, due to the proliferation of Information and Communication Tech-
+nologies, information security has started to cover emerging topics such as cloud
+omputing security, smart cities’ security and privacy, healthcare and telemedicine,
+the Internet-of-Things (IoT) security [1], the Internet-of-Vehicles security, and sev-
+eral types of wireless sensor networks security [2,3]. In addition, information security
+has extended further to cover not only technical security problems but also social and
+organizational security challenges [4,5].
+Traditional systems’ development approaches were focusing on the system’s
+usability where security was left to the last stage with less priority. However, the"

+03c53fb96a9acd2ec6ba52a2497410f980793bfa,Trainable Convolution Filters and Their Application to Face Recognition,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.
+Trainable Convolution Filters and their
+Application to Face Recognition
+Ritwik Kumar, Member, IEEE, Arunava Banerjee, Member, IEEE,
+Baba C. Vemuri, Fellow, IEEE, and Hanspeter Pfister, Senior Member, IEEE"

+0394e684bd0a94fc2ff09d2baef8059c2652ffb0,Median Robust Extended Local Binary Pattern for Texture Classification,"Median Robust Extended Local Binary Pattern
+for Texture Classification
+Li Liu, Songyang Lao, Paul W. Fieguth, Member, IEEE, Yulan Guo,
+Xiaogang Wang, and Matti Pietikäinen, Fellow, IEEE
+Index Terms— Texture descriptors, rotation invariance, local
+inary pattern (LBP), feature extraction, texture analysis.
+how the texture recognition process works in humans as
+well as in the important role it plays in the wide variety of
+pplications of computer vision and image analysis [1], [2].
+The many applications of texture classification include medical
+image analysis and understanding, object recognition, biomet-
+rics, content-based image retrieval, remote sensing, industrial
+inspection, and document classification.
+As a classical pattern recognition problem, texture classifi-
+ation primarily consists of two critical subproblems: feature
+extraction and classifier designation [1], [2]. It is generally
+greed that the extraction of powerful texture features plays a
+relatively more important role, since if poor features are used
+even the best classifier will fail to achieve good recognition
+results. Consequently, most research in texture classification"

+038277dbfcd767b0a0899de42d3277b5b253cc8e,Review and Implementation of High-Dimensional Local Binary Patterns and Its Application to Face Recognition,"TR-IIS-14-003
+Review and Implementation of
+High-Dimensional Local Binary
+Patterns and Its Application to
+Face Recognition
+Bor-Chun Chen, Chu-Song Chen, Winston Hsu
+July. 24,    2014    ||    Technical Report No. TR-IIS-14-003
+http://www.iis.sinica.edu.tw/page/library/TechReport/tr2014/tr14.html"

+03f4c0fe190e5e451d51310bca61c704b39dcac8,CHEAVD: a Chinese natural emotional audio-visual database,"J Ambient Intell Human Comput
+DOI 10.1007/s12652-016-0406-z
+O R I G I N A L R E S E A R C H
+CHEAVD: a Chinese natural emotional audio–visual database
+Ya Li1
+• Jianhua Tao1,2,3
+• Linlin Chao1
+• Wei Bao1,4
+• Yazhu Liu1,4
+Received: 30 March 2016 / Accepted: 22 August 2016
+Ó Springer-Verlag Berlin Heidelberg 2016"

+03de6b2a3c81b26eecbec2705173da3dba25ecbb,FineTag: Multi-attribute Classification at Fine-grained Level in Images,"FineTag: Multi-attribute Classification at
+Fine-grained Level in Images
+Roshanak Zakizadeh, Michele Sasdelli, Yu Qian and Eduard Vazquez
+Cortexica Vision Systems, London, UK"

+033fde43e6ff235fd560435bc060d5ffd14fb827,Pose Estimation and Tracking of Eating Persons in Real-life Settings,"ASCI { IPA { SIKS tracks, ICT.OPEN, Veldhoven, November 14{15, 2011
+Pose Estimation and Tracking of Eating Persons in Real-life Settings
+Lu Zhang
+EWI-TUDelft
+Laurens van der Maaten
+EWI-TUDelft
+Nicole Koenderink
+Wageningen UR, FBR
+Franck Golbach
+Wageningen UR, FBR
+Emile Hendriks
+EWI-TUDelft"

+031055c241b92d66b6984643eb9e05fd605f24e2,Multi-fold MIL Training for Weakly Supervised Object Localization,"Multi-fold MIL Training for Weakly Supervised Object Localization
+Ramazan Gokberk Cinbis
+Jakob Verbeek Cordelia Schmid
+Inria∗"

+0332ae32aeaf8fdd8cae59a608dc8ea14c6e3136,Large Scale 3D Morphable Models,"Int J Comput Vis
+DOI 10.1007/s11263-017-1009-7
+Large Scale 3D Morphable Models
+James Booth1
+Stefanos Zafeiriou1
+· Anastasios Roussos1,3 · Allan Ponniah2 · David Dunaway2 ·
+Received: 15 March 2016 / Accepted: 24 March 2017
+© The Author(s) 2017. This article is an open access publication"

+03650399cbf53d916d10a507852c9e94a02ee13f,3D faces in motion: Fully automatic registration and statistical analysis,"D Faces in Motion: Fully Automatic Registration and Statistical Analysis
+Timo Bolkarta,∗, Stefanie Wuhrera
+Saarland University, Saarbr¨ucken, Germany"

+034f7fcf5a393ac3307ac3609c2b971df6efaff6,Can Synthetic Data Handle Unconstrained Gaze Estimation?,"Can Synthetic Data Handle Unconstrained Gaze
+Estimation ?
+Amine Kacete, Renaud Séguier, Michel Collobert, Jérôme Royan
+To cite this version:
+Amine Kacete, Renaud Séguier, Michel Collobert, Jérôme Royan. Can Synthetic Data Handle Uncon-
+strained Gaze Estimation ?. Conférence Nationale sur les Applications Pratiques de l’Intelligence Ar-
+tificielle, Jul 2017, Caen, France. Conférence Nationale sur les Applications Pratiques de l’Intelligence
+Artificielle. <hal-01561526>
+HAL Id: hal-01561526
+https://hal.archives-ouvertes.fr/hal-01561526
+Submitted on 12 Jul 2017
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,"

+034addac4637121e953511301ef3a3226a9e75fd,Implied Feedback: Learning Nuances of User Behavior in Image Search,"Implied Feedback: Learning Nuances of User Behavior in Image Search
+Devi Parikh
+Virginia Tech"

+03701e66eda54d5ab1dc36a3a6d165389be0ce79,Improved Principal Component Regression for Face Recognition Under Illumination Variations,"Improved Principal Component Regression for Face
+Recognition Under Illumination Variations
+Shih-Ming Huang and Jar-Ferr Yang, Fellow, IEEE"

+9b5b2fd938a9337475cb90a143cf7568f8f63709,Illumination Processing in Face Recognition,"Illumination	Processing	in	Face	Recognition187Illumination	Processing	in	Face	RecognitionYongping	Li,	Chao	Wang	and	Xinyu	AoX 	Illumination Processing in Face Recognition  Yongping Li, Chao Wang and Xinyu Ao Shanghai Institute of Applied Physics, Chinese Academy of Sciences China  1. Introduction Driven by the demanding of public security, face recognition has emerged as a viable solution and achieved comparable accuracies to fingerprint system under controlled lightning environment. In recent years, with wide installing of camera in open area, the automatic face recognition in watch-list application is facing a serious problem. Under the open environment, lightning changes is unpredictable, and the performance of face recognition degrades seriously. Illumination processing is a necessary step for face recognition to be useful in the uncontrolled environment. NIST has started a test called FRGC to boost the research in improving the performance under changing illumination. In this chapter, we will focus on the research effort made in this direction and the influence on face recognition caused by illumination. First of all, we will discuss the quest on the image formation mechanism under various illumination situations, and the corresponding mathematical modelling. The Lambertian lighting model, bilinear illuminating model and some recent model are reviewed. Secondly, under different state of face, like various head pose and different facial expression, how illumination influences the recognition result, where the different pose and illuminating will be examined carefully. Thirdly, the current methods researcher employ to counter the change of illumination to maintain good performance on face recognition are assessed briefly. The processing technique in video and how it will improve face recognition on video, where Wang’s (Wang & Li, 2009) work will be discussed to give an example on the related advancement in the fourth part. And finally, the current state-of-art of illumination processing and its future trends will be discussed.  2. The formation of camera imaging and its difference from the human visual system With the camera invented in 1814 by Joseph N, recording of human face began its new era. Since we do not need to hire a painter to draw our figures, as the nobles did in the middle age. And the machine recorded our image as it is, if the camera is in good condition.  Currently, the imaging system is mostly to be digital format. The central part is CCD (charge-coupled device) or CMOS (complimentary metal-oxide semiconductor). The CCD/CMOS operates just like the human eyes. Both CCD and CMOS image sensors operate 11www.intechopen.com"

+9b318098f3660b453fbdb7a579778ab5e9118c4c,Joint Patch and Multi-label Learning for Facial Action Unit and Holistic Expression Recognition,"Joint Patch and Multi-label Learning for Facial
+Action Unit and Holistic Expression Recognition
+Kaili Zhao, Wen-Sheng Chu, Student Member, IEEE, Fernando De la Torre,
+Jeffrey F. Cohn, and Honggang Zhang, Senior Member, IEEE
+lassifiers without"

+9b69ea8034a24db2bb1a1eef73ec11b6367d2f2e,Face Recognition System Using PCA and DCT in HMM,"International Journal of Advanced Research in Computer and Communication Engineering
+Vol. 4, Issue 1, January 2015
+Face Recognition System Using PCA and DCT
+ISSN (Online) : 2278-1021
+ISSN (Print)    : 2319-5940
+in HMM
+SamerKais Jameel
+Lecturer, Computer Science, University of Raparin, Sulaimaniya, Iraq"

+9b74de11c62ce16d0b4509554556e6b6b0d4f5c0,Bayesian Probabilistic Co-Subspace Addition,"Bayesian Probabilistic Co-Subspace Addition
+Lei Shi
+Baidu.com, Inc"

+9b3ed8190d99b107837de142324e4aa2be8b7eb2,An Efficient Multimodal 2D-3D Hybrid Approach to Automatic Face Recognition,"An Efficient Multimodal 2D-3D Hybrid
+Approach to Automatic Face Recognition
+Ajmal S. Mian, Mohammed Bennamoun, and Robyn Owens"

+9b19be86280c8dbb3fdccc24297449290bd2b6aa,Robust Compressive Phase Retrieval via Deep Generative Priors,"Robust Compressive Phase Retrieval via Deep Generative
+Priors
+Fahad Shamshad, Ali Ahmed
+Dept. of Electrical Engg., Information Technology University, Lahore, Pakistan.
+{fahad.shamshad,"

+9bcfa6d23ea628ccfabf6900ef05437e7cecb1c6,A Hybrid Approach for Secure Biometric Authentication Using Fusion of Iris and Ear,"Volume 5, Issue 8, August 2015                                          ISSN: 2277 128X
+International Journal of Advanced Research in
+Computer Science and Software Engineering
+Research Paper
+Available online at: www.ijarcsse.com
+A Hybrid Approach for Secure Biometric Authentication Using
+Fusion of Iris and Ear
+Pamalpreet Kaur*, Er. Nirvair Neeru
+CSE Deptt. Punjabi University,
+Patiala, India"

+9b474d6e81e3b94e0c7881210e249689139b3e04,VG-RAM Weightless Neural Networks for Face Recognition,"VG-RAM Weightless Neural Networks for
+Face Recognition
+Alberto F. De Souza, Claudine Badue, Felipe Pedroni, Stiven Schwanz Dias,
+Hallysson Oliveira and Soterio Ferreira de Souza
+Departamento de Inform´atica
+Universidade Federal do Esp´ırito Santo
+Av. Fernando Ferrari, 514, 29075-910 - Vit´oria-ES
+Brazil
+. Introduction
+Computerized human face recognition has many practical applications, such as access control,
+security monitoring, and surveillance systems, and has been one of the most challenging and
+ctive research areas in computer vision for many decades (Zhao et al.; 2003). Even though
+urrent machine recognition systems have reached a certain level of maturity, the recognition
+of faces with different facial expressions, occlusions, and changes in illumination and/or pose
+is still a hard problem.
+A general statement of the problem of machine recognition of faces can be formulated as fol-
+lows: given an image of a scene, (i) identify or (ii) verify one or more persons in the scene
+using a database of faces. In identification problems, given a face as input, the system reports
+ack the identity of an individual based on a database of known individuals; whereas in veri-
+fication problems, the system confirms or rejects the claimed identity of the input face. In both"

+9bf6fbccfdf013cfd076f9357a05fb00b50735ee,JAR-Aibo: A Multi-view Dataset for Evaluation of Model-Free Action Recognition Systems,"JAR-Aibo: A Multi-View Dataset for Evaluation
+of Model-Free Action Recognition Systems
+Marco K¨orner and Joachim Denzler
+Friedrich Schiller University of Jena
+Computer Vision Group
+Ernst-Abbe-Platz 3, 07743 Jena, Germany
+http://www.inf-cv.uni-jena.de"

+9be5129fec3b6f1efc22e19dae3ae684961f5efb,Probability based Extended Direct Attribute Prediction,"Probability based Extended Direct Attribute Prediction
+International Journal of Computer Applications (0975 – 8887)
+Volume 155 – No 5, December 2016
+Manju
+Research Scholar,
+Department of computer science,
+Baba Mastnath University, Rohtak"

+9b95153e4d3972d59fabef0fddce9b7207836b1b,Nonlinear Discrete Hashing,"Nonlinear Discrete Hashing
+Zhixiang Chen, Jiwen Lu, Senior Member, IEEE, Jianjiang Feng, Member, IEEE, and Jie Zhou, Senior Member, IEEE"

+9bcfadd22b2c84a717c56a2725971b6d49d3a804,How to Detect a Loss of Attention in a Tutoring System using Facial Expressions and Gaze Direction,"How to Detect a Loss of Attention in a Tutoring System
+using Facial Expressions and Gaze Direction
+Mark ter Maat"

+9bdd3ce1879f8fd32d2a3f2c4cedcadcf292a1a5,Geometric Active Learning via Enclosing Ball Boundary,"IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
+Geometric Active Learning via Enclosing Ball
+Boundary
+Xiaofeng Cao, Ivor W. Tsang, Jianliang Xu, Zenglin Shi, Guandong Xu"

+9bd973e64750a94dcf528da402b39e3a53118312,An FPGA-Accelerated Design for Deep Learning Pedestrian Detection in Self-Driving Vehicles,"An FPGA-Accelerated Design for Deep
+Learning Pedestrian Detection in Self-Driving
+Vehicles
+Abdallah Moussawi, Kamal Haddad, and Anthony Chahine
+Department of Electrical and Computer Engineering
+American University of Beirut
+Beirut, Lebanon
+Email:"

+9b30771968b577ea1b71c0cfaee31f3824bfa027,Capturing Form of Non-verbal Conversational Behavior for Recreation on Synthetic Conversational Agent EVA,"Capturing Form of Non-verbal Conversational Behavior for Recreation
+on Synthetic Conversational Agent EVA
+IZIDOR MLAKAR, 2MATEJ ROJC
+Roboti c.s. d.o.o, 2Faculty of Electrical Engineering and Computer Science, University of Maribor
+Tržaška cesta 23, 2Smetanova ulica 17
+SLOVENIA"

+9badcba793a54dd90383a55d7dfee1281c510f75,Local Gradients Smoothing: Defense against localized adversarial attacks,"Local Gradients Smoothing: Defense against localized adversarial attacks
+Muzammal Naseer
+Australian National University (ANU)
+Salman H. Khan
+Data61, CSIRO
+Fatih Porikli
+Australian National University (ANU)"

+9b6d61491120bdd579f53e8c5f7cbe1e05cbc91e,Modeling Multimodal Behaviors from Speech Prosody,"Modeling Multimodal Behaviors From Speech
+Prosody
+Yu Ding1, Catherine Pelachaud1, and Thierry Arti`eres2
+CNRS-LTCI, Institut Mines-TELECOM, TELECOM ParisTech, Paris, France
+{yu.ding,
+Universit´e Pierre et Marie Curie (LIP6), Paris, France"

+9b555d8c8f518d907fa273d8691b008d55aedd92,Reasoning with shapes: profiting cognitive susceptibilities to infer linear mapping transformations between shapes,"REASONING WITH SHAPES
+Reasoning with shapes: profiting cognitive
+susceptibilities to infer linear mapping
+transformations between shapes
+Vahid Jalili"

+9be0de78bb69e7b243e92ab7530f9fd5a08c62cc,Spontaneous Trait Inferences on Social Media,"Article
+Spontaneous Trait Inferences
+on Social Media
+Ana Levordashka1 and Sonja Utz1
+Social Psychological and
+Personality Science
+017, Vol. 8(1) 93-101
+ª The Author(s) 2016
+Reprints and permission:
+sagepub.com/journalsPermissions.nav
+DOI: 10.1177/1948550616663803
+journals.sagepub.com/home/spp"

+9b678aa28facf4f90081d41c2c484c6addddb86d,Fully Convolutional Attention Networks for Fine-Grained Recognition,"Fully Convolutional Attention Networks for Fine-Grained Recognition
+Xiao Liu, Tian Xia, Jiang Wang, Yi Yang, Feng Zhou and Yuanqing Lin
+Baidu Research
+{liuxiao12,xiatian,wangjiang03,yangyi05, zhoufeng09,"

+9b164cef4b4ad93e89f7c1aada81ae7af802f3a4,A Fully Automatic and Haar like Feature Extraction-Based Method for Lip Contour Detection,"Research Journal of Recent Sciences _________________________________________________ ISSN 2277-2502
+Vol. 2(1), 17-20, January (2013)
+Res.J.Recent Sci.
+A Fully Automatic and Haar like Feature Extraction-Based Method for Lip
+Contour Detection
+Zahedi Morteza and Mohamadian Zahra
+School of Computer Engineering, Shahrood University of Technology, Shahrood, IRAN
+Received 26th September 2012, revised 27th October 2012, accepted 6th November 2012
+Available online at: www.isca.in"

+9bac481dc4171aa2d847feac546c9f7299cc5aa0,Matrix Product State for Higher-Order Tensor Compression and Classification,"Matrix Product State for Higher-Order Tensor
+Compression and Classification
+Johann A. Bengua1, Ho N. Phien1, Hoang D. Tuan1 and Minh N. Do2"

+9b7c6ef333c6e64f2dfa97a1a3614d0775d81a8a,A New Evaluation Protocol and Benchmarking Results for Extendable Cross-media Retrieval,"A New Evaluation Protocol and Benchmarking
+Results for Extendable Cross-media Retrieval
+Ruoyu Liu, Yao Zhao, Liang Zheng, Shikui Wei, and Yi Yang"

+9b4e90866c1f096a57383fb7320ac9d516a2f88d,Towards lightweight convolutional neural networks for object detection,"TOWARDS LIGHTWEIGHT CONVOLUTIONAL NEURAL
+NETWORKS FOR OBJECT DETECTION
+Dmitriy Anisimov, Tatiana Khanova
+Intel
+Nizhny Novgorod, Russia"

+9b7974d9ad19bb4ba1ea147c55e629ad7927c5d7,Faical Expression Recognition by Combining Texture and Geometrical Features,"Faical Expression Recognition by Combining
+Texture and Geometrical Features
+Renjie Liu, Ruofei Du, Bao-Liang Lu*"

+9b6d0b3fbf7d07a7bb0d86290f97058aa6153179,"NII , Japan at the first THUMOS Workshop 2013","NII, Japan at the first THUMOS Workshop 2013
+Sang Phan, Duy-Dinh Le, Shin’ichi Satoh
+National Institute of Informatics
+-1-2 Hitotsubashi, Chiyoda-ku, Tokyo, Japan 101-8430"

+9e8637a5419fec97f162153569ec4fc53579c21e,Segmentation and Normalization of Human Ears Using Cascaded Pose Regression,"Segmentation and Normalization of Human Ears
+using Cascaded Pose Regression
+Anika Pflug and Christoph Busch
+University of Applied Sciences Darmstadt - CASED,
+Haardtring 100,
+64295 Darmstadt, Germany
+http://www.h-da.de"

+9ebe5d78163a91239f10c453d76082dfa329851d,Teacher's Perception in the Classroom,"Teachers’ Perception in the Classroom
+¨Omer S¨umer1
+Patricia Goldberg1
+Kathleen St¨urmer1
+Tina Seidel3
+Peter Gerjets2 Ulrich Trautwein1
+Enkelejda Kasneci1
+University of T¨ubingen, Germany
+Leibniz-Institut f¨ur Wissensmedien, Germany
+Technical University of Munich, Germany"

+9e4b052844d154c3431120ec27e78813b637b4fc,Local gradient pattern - A novel feature representation for facial expression recognition,"Journal of AI and Data Mining
+Vol. 2, No .1, 2014, 33-38.
+Local gradient pattern - A novel feature representation for facial
+expression recognition
+M. Shahidul Islam
+Department of Computer Science, School of Applied Statistics, National Institute of Development Administration, Bangkok, Thailand.
+Received 23 April 2013; accepted 16 June 2013
+*Corresponding author: (M.Shahidul Islam)"

+9e6c15150179ce848402e89bd245831d9935f4f9,Bi-modal Face Recognition - How combining 2D and 3D Clues Can Increase the Precision,"Bi-modal face recognition
+How combining 2D and 3D clues can increase the precision
+Amel Aissaoui1, Jean Martinet2
+USTHB, Algeria
+Lille 1 University, France
+issaoui
+Keywords:
+Face recognition, multimodal, 2D, 3D, LBP, RGB-depth."

+9e594ae4f549e0d838f497de31a5b597a6826d55,Recognition of Emotion from Facial Expressions with Direct or Averted Eye Gaze and Varying Expression Intensities in Children with Autism Disorder and Typically Developing Children,"Hindawi Publishing Corporation
+Autism Research and Treatment
+Volume 2014, Article ID 816137, 11 pages
+http://dx.doi.org/10.1155/2014/816137
+Research Article
+Recognition of Emotion from Facial Expressions with Direct or
+Averted Eye Gaze and Varying Expression Intensities in Children
+with Autism Disorder and Typically Developing Children
+Dina Tell,1 Denise Davidson,2 and Linda A. Camras3
+Department of Health Promotion, Loyola University Chicago, Marcella Niehoff School of Nursing, 2160 S. First Avenue,
+Maywood, IL 60153, USA
+Department of Psychology, Loyola University Chicago, 1032 W. Sheridan Road, Chicago, IL 60660, USA
+Department of Psychology, DePaul University, 2219 N. Kenmore Avenue, Chicago, IL 60614, USA
+Correspondence should be addressed to Denise Davidson;
+Received 8 November 2013; Revised 7 February 2014; Accepted 12 February 2014; Published 3 April 2014
+Academic Editor: Geraldine Dawson
+Copyright © 2014 Dina Tell 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.
+Eye gaze direction and expression intensity effects on emotion recognition in children with autism disorder and typically developing
+hildren were investigated. Children with autism disorder and typically developing children identified happy and angry expressions"

+9ea73660fccc4da51c7bc6eb6eedabcce7b5cead,Talking head detection by likelihood-ratio test,"Talking Head Detection by Likelihood-Ratio Test†
+Carl Quillen, Kara Greenfield, and William Campbell
+MIT Lincoln Laboratory,
+Lexington MA 02420, USA"

+9e9052256442f4e254663ea55c87303c85310df9,Review On Attribute - assisted Reranking for Image Search,"International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
+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‡∗
+Tim K. Marks†
+Intel Corporation
+Mitsubishi Electric Research Labs (MERL)
+{oncel,"

+9e5acdda54481104aaf19974dca6382ed5ff21ed,Automatic localization of facial landmarks from expressive images of high complexity,"Yulia Gizatdinova and Veikko Surakka
+Automatic localization of facial
+landmarks from expressive images
+of high complexity
+DEPARTMENT OF COMPUTER SCIENCES
+UNIVERSITY OF TAMPERE
+D‐2008‐9
+TAMPERE 2008"

+9e9c600919332dcabbd32bbe81a00d1e47449193,Automatic 3D face verification from range data,"- 1330-7803-7663-3/03/$17.00 ©2003 IEEEThis paper was originally published in the Proceedings of the 2003 IEEEInternational Conference on Acoustics, Speech, & Signal Processing,April 6-10, 2003, Hong Kong (cancelled). Reprinted with permission.(cid:224)"

+9e0285debd4b0ba7769b389181bd3e0fd7a02af6,From Face Images and Attributes to Attributes,"From face images and attributes to attributes
+Robert Torfason, Eirikur Agustsson, Rasmus Rothe, Radu Timofte
+Computer Vision Laboratory, ETH Zurich, Switzerland"

+9ed3e04586f311b1e2b5ded9c9c4bfeeecf27f0c,Understanding rapid category detection via multiply degraded images.,"http://journalofvision.org/9/6/19/
+Understanding rapid category detection via multiply
+degraded images
+Chetan Nandakumar
+Vision Science Graduate Program,
+University of California, Berkeley, Berkeley, CA, USA
+Jitendra Malik
+Department of Electrical Engineering and
+Computer Science, University of California,
+Berkeley, Berkeley, CA, USA
+Rapid category detection, as discovered by S. Thorpe, D. Fize, and C. Marlot (1996), demonstrated that the human visual
+system can detect object categories in natural images in as little as 150 ms. To gain insight into this phenomenon and to
+determine its relevance to naturally occurring conditions, we degrade the stimulus set along various image dimensions and
+investigate the effects on perception. To investigate how well modern-day computer vision algorithms cope with
+degradations, we conduct an analog of this same experiment with state-of-the-art object recognition algorithms. We
+discover that rapid category detection in humans is quite robust to naturally occurring degradations and is mediated by a
+non-linear interaction of visual features. In contrast, modern-day object recognition algorithms are not as robust.
+Keywords: rapid category detection, degraded images, object recognition, eye tracking
+Citation: Nandakumar, C., & Malik, J. (2009). Understanding rapid category detection via multiply degraded images. Journal
+of Vision, 9(6):19, 1–8, http://journalofvision.org/9/6/19/, doi:10.1167/9.6.19."

+9e6ecc12794f1d3215f93376a32b350a0492ceb0,Modeling and Predicting Face Recognition System Performance Based on Analysis of Similarity Scores,"Modeling and Predicting Face
+Recognition System Performance
+Based on Analysis of Similarity Scores
+Peng Wang, Member, IEEE,
+Qiang Ji, Sr. Member, IEEE, and
+James L. Wayman, Sr. Member, IEEE"

+9edd7c738171b0f36b65ae771711c38ed1dc38ad,Long-Term Multi-Cue Tracking of Hands in Vehicles,"Long-Term Multi-Cue Tracking of Hands in Vehicles
+Akshay Rangesh, Eshed Ohn-Bar, and Mohan Manubhai Trivedi, Fellow, IEEE"

+9e759860762d40505f25d6fc5c4f4c1f6500d68b,Elastic Net Hypergraph Learning for Image Clustering and Semi-Supervised Classification,"Elastic Net Hypergraph Learning for Image
+Clustering and Semi-supervised Classification
+Qingshan Liu, Seninor Member, IEEE, Yubao Sun, Cantian Wang, Tongliang Liu and Dacheng Tao, Fellow, IEEE"

+9ef73533507b46278d0d27c41e16af2b8ecf23ef,A comparative assessment of appearance based feature extraction techniques and their susceptibility to image degradations in face recognition systems,"A comparative assessment of appearance based
+feature extraction techniques and their susceptibility
+to image degradations in face recognition systems
+Vitomir ˇStruc and Nikola Paveˇsi´c, Member, IEEE"

+9eb111f6990d1494a3904f22be9836c202efd7d1,Exploiting workload similarities for efficient scheduling in diverse asymmetric chip multiprocessing Research,Exploiting workload similarities for efficient scheduling in diverse asymmetric chip multiprocessing                Dani Shaket

+9e8dd40aea9204ad670b312a46ba807bfc0c61ce,Distribution-sensitive learning for imbalanced datasets Citation,"Distribution-sensitive learning for imbalanced datasets
+The MIT Faculty has made this article openly available. Please share
+how this access benefits you.  Your story matters.
+Citation
+As Published
+Publisher
+Version
+Accessed
+Citable Link
+Terms of Use
+Detailed Terms
+Song, Yale, Louis-Philippe Morency, and Randall Davis.
+“Distribution-Sensitive Learning for Imbalanced Datasets.” 2013
+0th IEEE International Conference and Workshops on
+Automatic Face and Gesture Recognition (FG) (n.d.).
+http://dx.doi.org/10.1109/FG.2013.6553715
+Institute of Electrical and Electronics Engineers (IEEE)
+Author's final manuscript
+Fri Jan 08 19:33:51 EST 2016
+http://hdl.handle.net/1721.1/86107"

+9ee5218a2a74fafbc4227f6c7c587b72e141bd33,Iris Compression and Recognition using Spherical Geometry Image,"(IJARAI) International Journal of Advanced Research in Artificial Intelligence,
+Vol. 4, No.6, 2015
+Iris Compression and Recognition using Spherical
+Geometry Image
+College of Computers and Information Technology  University of Tabuk  Tabuk, KSA
+Rabab M. Ramadan
+in  3D  domain  to  test"

+9e2120e48d497b373c53563275c3786c11749883,Topological and metric robot localization through computer vision techniques,"Topological and metric robot localization through computer vision
+techniques
+A. C. Murillo, J. J. Guerrero and C. Sag¨u´es
+DIIS - I3A, University of Zaragoza, Spain"

+9ee4d3c173c41ffb6f5aa3c40951aefe3da11d5b,Forming A Random Field via Stochastic Cliques: From Random Graphs to Fully Connected Random Fields,"Forming A Random Field via Stochastic
+Cliques: From Random Graphs to Fully
+Connected Random Fields
+M. J. Shafiee, A. Wong and P. Fieguth"

+9e1712ac91c7a882070a8e2740ed476d59d6d5d4,Expressive image manipulations for a variety of visual representations. (Manipulations d'image expressives pour une variété de représentations visuelles),"Expressive image manipulations for a variety of visual
+representations
+Adrien Bousseau
+To cite this version:
+Adrien Bousseau. Expressive image manipulations for a variety of visual representations. Human-
+Computer Interaction [cs.HC]. Université Joseph-Fourier - Grenoble I, 2009. English. <tel-00429151>
+HAL Id: tel-00429151
+https://tel.archives-ouvertes.fr/tel-00429151
+Submitted on 31 Oct 2009
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de
+recherche français ou étrangers, des laboratoires"

+9e263d429c3b87aae2653b6fb925b32b63c172cd,Enhanced image and video representation for visual recognition,"Enhanced image and video representation for visual
+recognition
+Mihir Jain
+To cite this version:
+Mihir Jain. Enhanced image and video representation for visual recognition. Computer Vision
+nd Pattern Recognition [cs.CV]. Universit´e Rennes 1, 2014. English. <tel-00996793>
+HAL Id: tel-00996793
+https://tel.archives-ouvertes.fr/tel-00996793
+Submitted on 27 May 2014
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destin´ee au d´epˆot et `a la diffusion de documents
+scientifiques de niveau recherche, publi´es ou non,
+´emanant des ´etablissements d’enseignement et de
+recherche fran¸cais ou ´etrangers, des laboratoires"

+040dc119d5ca9ea3d5fc39953a91ec507ed8cc5d,Large-scale Bisample Learning on ID vs. Spot Face Recognition,"Noname manuscript No.
+(will be inserted by the editor)
+Large-scale Bisample Learning on ID vs. Spot Face Recognition
+Xiangyu Zhu∗ · Hao Liu∗ · Zhen Lei · Hailin Shi · Fan Yang · Dong
+Yi · Stan Z. Li
+Received: date / Accepted: date"

+0422a9bc1bde71d3b4fc4f52b4a62b15f2fb101f,A Customized Vision System for Tracking Humans Wearing Reflective Safety Clothing from Industrial Vehicles and Machinery,"Sensors 2014, 14, 17952-17980; doi:10.3390/s141017952
+OPEN ACCESS
+sensors
+ISSN 1424-8220
+www.mdpi.com/journal/sensors
+Article
+A Customized Vision System for Tracking Humans
+Wearing Reflective Safety Clothing from Industrial
+Vehicles and Machinery
+Rafael Mosberger *, Henrik Andreasson and Achim J. Lilienthal
+AASS Research Centre, Örebro University, 70182 Örebro, Sweden;
+E-Mails: (H.A.); (A.J.L.)
+* Author to whom correspondence should be addressed; E-Mail:
+Tel.: +46-1930-1113; Fax: +46-1930-3463.
+External Editor: Vittorio M.N. Passaro
+Received: 8 July 2014; in revised form: 5 September 2014 / Accepted: 9 September 2014 /
+Published: 26 September 2014"

+04adf2e51df06a03b6decf520b0952a54a538a18,Randomized Robust Subspace Recovery and Outlier Detection for High Dimensional Data Matrices,"Randomized Robust Subspace Recovery for High Dimensional
+Data Matrices
+Mostafa Rahmani, Student Member, IEEE and George K. Atia, Member, IEEE"

+047f6afa87f48de7e32e14229844d1587185ce45,An Improvement of Energy-Transfer Features Using DCT for Face Detection,"An Improvement of Energy-Transfer Features
+Using DCT for Face Detection
+Radovan Fusek, Eduard Sojka, Karel Mozdˇreˇn, and Milan ˇSurkala
+Technical University of Ostrava, FEECS, Department of Computer Science,
+7. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic"

+0485e96bb0c1276fe2a27271b939b6e67997acfc,Active Learning for Structured Probabilistic Models,"Active Learning for Structured Probabilistic Models
+Qing Sun
+Virginia Tech
+Ankit Laddha ∗
+Virginia Tech
+Dhruv Batra
+Virginia Tech"

+04afb510e11e963fb18e3271ac966164db806120,Harvesting Social Images for Bi-Concept Search,"Harvesting Social Images for Bi-Concept Search
+Xirong Li, Cees G. M. Snoek, Senior Member, IEEE, Marcel Worring, Member, IEEE, and
+Arnold W. M. Smeulders, Member, IEEE"

+04b851f25d6d49e61a528606953e11cfac7df2b2,Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition,"Optical Flow Guided Feature: A Fast and Robust Motion Representation for
+Video Action Recognition
+Shuyang Sun1,2, Zhanghui Kuang2, Lu Sheng3, Wanli Ouyang1, Wei Zhang2
+The University of Sydney 2SenseTime Research 3The Chinese University of Hong Kong
+{shuyang.sun
+{wayne.zhang"

+0447bdb71490c24dd9c865e187824dee5813a676,Manifold Estimation in View-based Feature Space for Face Synthesis Across Pose,"Manifold Estimation in View-based Feature
+Space for Face Synthesis Across Pose
+Paper 27"

+04bb0a1ccca86a4c1084fc7472ea07189c110aa7,Tracking Interacting Objects Using Intertwined Flows,"Tracking Interacting Objects Using
+Intertwined Flows
+Xinchao Wang∗ , Engin T¨uretken∗, Franc¸ois Fleuret, and Pascal Fua, Fellow, IEEE"

+0435a34e93b8dda459de49b499dd71dbb478dc18,"VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks","VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification
+Using Convolutional Neural Networks
+Ayesha Gurnani£1, Vandit Gajjar£1, Viraj Mavani£1, Yash Khandhediya£1
+Department of Electronics and Communication Engineering and
+Computer Vision Group, L. D. College of Engineering, Ahmedabad, India
+{gurnani.ayesha.52, gajjar.vandit.381, mavani.viraj.604,
+the  need  for  handcrafted  facial  descriptors  and  data
+preprocessing.  D-CNN  models  have  been  not  only
+successfully  applied  to  human  face  analysis,  but  also  for
+the visual saliency detection [21, 22, 23]. Visual Saliency
+is  fundamentally  an  intensity  map  where  higher  intensity
+signifies  regions,  where  a  general  human  being  would
+look, and lower intensities mean decreasing level of visual
+ttention.  It’s  a  measure  of  visual  attention  of  humans
+ased  on  the  content  of  the  image.  It  has  numerous
+pplications  in  computer  vision  and  image  processing
+tasks. It is still an open problem when considering the MIT
+Saliency Benchmark [24].
+In  previous  five  years,  considering  age  estimation,
+gender  classification  and  facial  expression  classification"

+041ac91c85276f61bec3f0f3c42782e4f9a31f88,Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform,"Detailed Dense Inference with Convolutional Neural Networks
+via Discrete Wavelet Transform
+Lingni Ma1, J¨org St¨uckler2, Tao Wu1 and Daniel Cremers1"

+04f7eab5d03ac6ad678f2fc8adf29bc1a84a2084,Tree based object matching using multi-scale covariance descriptor,"Tree based object matching using multi-scale covariance
+descriptor
+Walid AYEDI1,2, Hichem SNOUSSI1, Fethi SMACH2 and Mohamed ABID2
+Charles Delaunay Institute (FRE CNRS 2848), University of Technology of Troyes, 10010 Troyes, France
+Sfax University, National Engineering School of Sfax, 3052 Sfax, Tunisia"

+044ba70e6744e80c6a09fa63ed6822ae241386f2,Early Prediction for Physical Human Robot Collaboration in the Operating Room,"TO APPEAR IN AUTONOMOUS ROBOTS, SPECIAL ISSUE IN LEARNING FOR HUMAN-ROBOT COLLABORATION
+Early Prediction for Physical Human Robot
+Collaboration in the Operating Room
+Tian Zhou, Student Member, IEEE, and Juan Wachs, Member, IEEE"

+0462aa8b7120a34f111e81f77acd1cc7d81680a6,Color Emotions in Large Scale Content Based Image Indexing,"Link¨oping Studies in Science and Technology
+Dissertations, No. 1362
+Color Emotions in Large Scale Content Based
+Image Indexing
+Martin Solli
+Department of Science and Technology
+Link¨oping University, SE-601 74 Norrk¨oping, Sweden
+Norrk¨oping, March 2011"

+04741341e26bdcd9ed1de18e5a95c31d7b64fa36,Adversarial Action Prediction Networks,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, FEBRUARY 2018
+Adversarial Action Prediction Networks
+Yu Kong, Member, IEEE, Zhiqiang Tao, Student Member, IEEE and Yun Fu, Senior Member, IEEE"

+045b45adbcb83a34d087c917b79274858a878937,A Methodology for Extracting Standing Human Bodies From Single Images,"Invention Journal of Research Technology in Engineering & Management (IJRTEM)                                                  ISSN: 2455-3689
+www.ijrtem.com ǁ Volume 1 ǁ Issue 8 ǁ
+A Methodology for Extracting Standing Human Bodies from Single Images
+Dr. Y. Raghavender Rao1, N. Devadas Naik2
+Head ECE JNTUHCEJ Jagtityal
+Asst professor Sri Chaitanya engineering college"

+04dca7c7f85d607cba64ca56de3364a4085effa1,ExprGAN: Facial Expression Editing with Controllable Expression Intensity,"ExprGAN: Facial Expression Editing with Controllable Expression Intensity
+Hui Ding,1 Kumar Sricharan2, Rama Chellappa3
+,3University of Maryland, College Park
+PARC, Palo Alto"

+048eb50c398fa01bd15329945113341102d96454,Addressing perceptual insensitivity to facial affect in violent offenders: first evidence for the efficacy of a novel implicit training approach.,"doi:10.1017/S0033291713001517
+O R I G I N A L A R T I C L E
+Addressing perceptual insensitivity to facial affect
+in violent offenders: first evidence for the efficacy
+of a novel implicit training approach
+M. Schönenberg*, S. Christian, A.-K. Gaußer, S. V. Mayer, M. Hautzinger and A. Jusyte
+Department of Clinical Psychology and Psychotherapy, University of Tübingen, Germany
+Background. Although impaired recognition of affective facial expressions has been conclusively linked to antisocial
+ehavior, little is known about the modifiability of this deficit. This study investigated whether and under which circum-
+stances the proposed perceptual insensitivity can be addressed with a brief implicit training approach.
+Method. Facial affect recognition was assessed with an animated morph task, in which the participants (44 male incar-
+erated violent offenders and 43 matched controls) identified the onset of emotional expressions in animated morph clips
+that gradually changed from neutral to one of the six basic emotions. Half of the offenders were then implicitly trained to
+direct attention to salient face regions (attention training, AT) using a modified dot-probe task. The other half underwent
+the same protocol but the intensity level of the presented expressions was additionally manipulated over the course of
+training sessions (sensitivity to emotional expressions training, SEE training). Subsequently, participants were reassessed
+with the animated morph task.
+Results. Facial affect recognition was significantly impaired in violent offenders as compared with controls. Further, our
+results indicate that only the SEE training group exhibited a pronounced improvement in emotion recognition.
+Conclusions. We demonstrated for the first time that perceptual insensitivity to facial affect can be addressed by an"

+040601d28b683c3c8b48b29e93b6aa3c26dbdf5f,"Facial Expression Recognition for Color Images using Gabor, Log Gabor Filters and PCA","International Journal of Computer Applications (0975 – 8887)
+Volume 113 – No. 4, March 2015
+Facial Expression Recognition for Color Images using
+Gabor, Log Gabor Filters and PCA
+Shail Kumari Shah
+PG Scholar,
+Computer Engg. Dept.
+Vineet Khanna
+Assistant Professor,
+Computer Engg. Dept.
+Rajasthan College of Engineering for Women
+Rajasthan Technical University, Jaipur, India
+Rajasthan College of Engineering for Women
+Rajasthan Technical University, Jaipur, India"

+04bf170753cee3d1da1b9ab41a5b0874685142fa,Casualty Detection for Mobile Rescue Robots via Ground-Projected Point Clouds,"TAROS2018, 037, v5 (final): ’Casualty Detection for Mobile Rescue Robots via Ground- . . ."

+0480b458439069687ec41c90178ba7e9a056bcca,Gender Classification Using Gradient Direction Pattern,"Sci.Int(Lahore),25(4),797-799,2013
+ISSN 1013-5316;  CODEN: SINTE 8
+GENDER CLASSIFICATION USING GRADIENT DIRECTION PATTERN
+Department of Computer Science, School of Applied Statistics,
+National Institute of Development Administration, Bangkok, Thailand.
+Mohammad Shahidul Islam"

+0449b56b6b19a3c42766962782bfb88576b5bd62,Spontaneous and cued gaze-following in autism and Williams syndrome,"Spontaneous and cued gaze-following in autism
+nd Williams syndrome
+Riby et al.
+Riby et al. Journal of Neurodevelopmental Disorders 2013, 5:13
+http://www.jneurodevdisorders.com/content/5/1/13"

+04b29b6f1210f4309f3d5ab9e6bd2c8a026ce244,Face Recognition in the Presence of Expressions,"Journal of Software Engineering and Applications, 2012, 5, 321-329
+http://dx.doi.org/10.4236/jsea.2012.55038 Published Online May 2012 (http://www.SciRP.org/journal/jsea)
+Face Recognition in the Presence of Expressions
+Xia Han1*, Moi Hoon Yap2, Ian Palmer3
+Centre for Visual Computing, University of Bradford, Bradford, UK; 2School of Computing, Mathematics, and Digital Technology,
+Manchester  Metropolitan  University  (MMU),  Manchester,  UK;  3School  of  Computing,  Informatics  and  Media,  University  of
+Bradford, Bradford, UK.
+Email:
+Received February 21st, 2012; revised March 25th, 2012; accepted April 27th, 2012"

+04dcdb7cb0d3c462bdefdd05508edfcff5a6d315,Assisting the training of deep neural networks with applications to computer vision,"Assisting the training of deep neural networks
+with applications to computer vision
+Adriana Romero
+tesi  doctoral  està  subjecta  a
+Aquesta
+CompartirIgual  4.0. Espanya de Creative Commons.
+Esta tesis doctoral está sujeta a la licencia  Reconocimiento - NoComercial – CompartirIgual
+.0.  España de Creative Commons.
+This  doctoral  thesis  is  licensed  under  the Creative  Commons  Attribution-NonCommercial-
+ShareAlike 4.0. Spain License.
+llicència Reconeixement-  NoComercial  –"

+044fdb693a8d96a61a9b2622dd1737ce8e5ff4fa,Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions,"Dynamic Texture Recognition Using Local Binary
+Patterns with an Application to Facial Expressions
+Guoying Zhao and Matti Pietik¨ainen, Senior Member, IEEE"

+0410659b6a311b281d10e0e44abce9b1c06be462,"A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning","A Gift from Knowledge Distillation:
+Fast Optimization, Network Minimization and Transfer Learning
+Junho Yim1
+Donggyu Joo1
+Jihoon Bae2
+Junmo Kim1
+School of Electrical Engineering, KAIST, South Korea
+Electronics and Telecommunications Research Institute
+{junho.yim, jdg105,"

+04b08a2735eff524f17d3f1a63eb7fc6484d4f83,Facial emotion detection using deep learning,IT 16 040Examensarbete 30 hpJuni 2016Facial emotion detection using deep learning Daniel Llatas SpiersInstitutionen för informationsteknologiDepartment of Information Technology

+04cdc847f3b10d894582969feee0f37fbd3745e5,Compressed Sensing with Deep Image Prior and Learned Regularization,"Compressed Sensing with Deep Image Prior
+nd Learned Regularization
+David Van Veen∗†
+Ajil Jalal∗†
+Eric Price ‡
+Sriram Vishwanath †
+Alexandros G. Dimakis †
+June 19, 2018"

+04ff060369c86ccb07414935bd3e3b85e4896261,Object detection can be improved using human-derived contextual expectations,"Object detection can be improved using
+human-derived contextual expectations
+Harish Katti, Marius V. Peelen, and S. P. Arun"

+04f55f81bbd879773e2b8df9c6b7c1d324bc72d8,Multi-view Face Analysis Based on Gabor Features,"Multi-view Face Analysis Based on Gabor Features
+Hongli Liu，  Weifeng Liu，  Yanjiang Wang
+College of Information and Control Engineering in China University of Petroleum,
+Qingdao 266580, China"

+046f1c194a09fc84f535c27a3373622223a80c67,Memory-efficient groupby-aggregate using compressed buffer trees,"Memory-Efficient GroupBy-Aggregate using
+Compressed Buffer Trees
+Hrishikesh Amur†, Wolfgang Richter(cid:63), David G. Andersen(cid:63),
+Michael Kaminsky‡, Karsten Schwan†, Athula Balachandran(cid:63), Erik Zawadzki(cid:63)
+(cid:63)Carnegie Mellon University, †Georgia Institute of Technology, ‡Intel Labs Pittsburgh"

+04f6a747cba48be1cabbf5efe6ce3eb85e061395,Discriminative Detection and Alignment in Volumetric Data,"Discriminative Detection
+nd Alignment in Volumetric Data
+Dominic Mai1,2, Philipp Fischer1, Thomas Blein4, Jasmin D¨urr3,
+Klaus Palme2,3, Thomas Brox1,2, and Olaf Ronneberger1,2
+Lehrstuhl f¨ur Mustererkennung und Bildverabeitung, Institut f¨ur Informatik
+BIOSS Centre of Biological Signalling Studies
+Institut f¨ur Biologie II, Albert-Ludwigs-Universit¨at Freiburg
+INRA Versailles"

+04d9abdae728f09e1d1f78e36a5de551c3a690f5,Color Local Texture Features Based Face Recognition,"International Journal of Innovations in Engineering and Technology (IJIET)
+Color Local Texture Features Based Face
+Recognition
+Priyanka V. Bankar
+Department of Electronics and Communication Engineering
+SKN Sinhgad College of Engineering, Korti, Pandharpur, Maharashtra, India
+Department of Electronics and Communication Engineering
+SKN Singhgad College of Engineering, Korti, Pandharpur, Maharashtra, India
+Anjali C. Pise"

+04743c503620baffd75f93f8e4583fcba369ac9d,Proofread Sentence Generation as Multi-Task Learning with Editing Operation Prediction,"Proceedings of the The 8th International Joint Conference on Natural Language Processing, pages 436–441,
+Taipei, Taiwan, November 27 – December 1, 2017 c(cid:13)2017 AFNLP"

+04f4679765d2f71576dd77c1b00a2fd92e5c6da4,Part Detector Discovery in Deep Convolutional Neural Networks,"Part Detector Discovery in Deep Convolutional
+Neural Networks
+Marcel Simon, Erik Rodner, and Joachim Denzler
+Computer Vision Group, Friedrich Schiller University of Jena, Germany
+www.inf-cv.uni-jena.de"

+0431e8a01bae556c0d8b2b431e334f7395dd803a,Learning Localized Perceptual Similarity Metrics for Interactive Categorization,"Learning Localized Perceptual Similarity Metrics for Interactive Categorization
+Catherine Wah ∗
+Google Inc.
+google.com"

+04b4c779b43b830220bf938223f685d1057368e9,Video retrieval based on deep convolutional neural network,"Video retrieval based on deep convolutional
+neural network
+Yajiao Dong
+School of Information and Electronics,
+Beijing Institution of Technology, Beijing, China
+Jianguo Li
+School of Information and Electronics,
+Beijing Institution of Technology, Beijing, China"

+044da4715e439b4f91cee8eec55299e30a615c56,Inducing a Concurrent Motor Load Reduces Categorization Precision for Facial Expressions,"Journal of Experimental Psychology:
+Human Perception and Performance
+016, Vol. 42, No. 5, 706 –718
+0096-1523/16/$12.00
+© 2015 The Author(s)
+http://dx.doi.org/10.1037/xhp0000177
+Inducing a Concurrent Motor Load Reduces Categorization Precision for
+Facial Expressions
+Alberta Ipser and Richard Cook
+City University London
+Motor theories of expression perception posit that observers simulate facial expressions within their own
+motor system, aiding perception and interpretation. Consistent with this view, reports have suggested that
+locking facial mimicry induces expression labeling errors and alters patterns of ratings. Crucially,
+however, it is unclear whether changes in labeling and rating behavior reflect genuine perceptual
+phenomena (e.g., greater internal noise associated with expression perception or interpretation) or are
+products of response bias. In an effort to advance this literature, the present study introduces a new
+psychophysical paradigm for investigating motor contributions to expression perception that overcomes
+some of the limitations inherent in simple labeling and rating tasks. Observers were asked to judge
+whether smiles drawn from a morph continuum were sincere or insincere, in the presence or absence of
+motor load induced by the concurrent production of vowel sounds. Having confirmed that smile"

+04616814f1aabe3799f8ab67101fbaf9fd115ae4,UNIVERSITÉ DE CAEN BASSE NORMANDIE U . F . R . de Sciences,"UNIVERSIT´EDECAENBASSENORMANDIEU.F.R.deSciences´ECOLEDOCTORALESIMEMTH`ESEPr´esent´eeparM.GauravSHARMAsoutenuele17D´ecembre2012envuedel’obtentionduDOCTORATdel’UNIVERSIT´EdeCAENSp´ecialit´e:InformatiqueetapplicationsArrˆet´edu07aoˆut2006Titre:DescriptionS´emantiquedesHumainsPr´esentsdansdesImagesVid´eo(SemanticDescriptionofHumansinImages)TheworkpresentedinthisthesiswascarriedoutatGREYC-UniversityofCaenandLEAR–INRIAGrenobleJuryM.PatrickPEREZDirecteurdeRechercheINRIA/Technicolor,RennesRapporteurM.FlorentPERRONNINPrincipalScientistXeroxRCE,GrenobleRapporteurM.JeanPONCEProfesseurdesUniversit´esENS,ParisExaminateurMme.CordeliaSCHMIDDirectricedeRechercheINRIA,GrenobleDirectricedeth`eseM.Fr´ed´ericJURIEProfesseurdesUniversit´esUniversit´edeCaenDirecteurdeth`ese"

+045fbe21ea8e501d443fa2d297c1292264712c62,Links between multisensory processing and autism,"Exp Brain Res
+DOI 10.1007/s00221-012-3223-4
+R E S E A R C H A R T I C L E
+Links between multisensory processing and autism
+Sarah E. Donohue • Elise F. Darling •
+Stephen R. Mitroff
+Received: 1 June 2012 / Accepted: 7 August 2012
+Ó Springer-Verlag 2012"

+04241ba56d4499a00beb6991d2460d571a218d85,Learning appearance in virtual scenarios for pedestrian detection,"Learning Appearance in Virtual Scenarios for Pedestrian Detection
+Javier Mar´ın, David V´azquez, David Ger´onimo and Antonio M. L´opez
+Computer Vision Center and Computer Science Dpt. UAB, 08193 Bellaterra, Barcelona, Spain
+{jmarin, dvazquez, dgeronimo,"

+041d3eedf5e45ce5c5229f0181c5c576ed1fafd6,How to Take a Good Selfie?,"How to Take a Good Selfie?
+Mahdi M. Kalayeh(cid:63) Misrak Seifu◦ Wesna LaLanne(cid:5) Mubarak Shah(cid:63)
+(cid:63)Center for Research in Computer Vision at University of Central Florida
+◦Jackson State University
+(cid:5)University of Central Florida"

+040eb316cec08b36ae0b57fede86043ee0526686,Learning Reliable and Scalable Representations Using Multimodal Multitask Deep Learning,"Learning Reliable and Scalable Representations
+Using Multimodal Multitask Deep Learning
+Abhinav Valada, and Wolfram Burgard
+Department of Computer Science, University of Freiburg, Germany
+I. INTRODUCTION
+Modality 1
+Modality 2
+Unimodal Seg.
+Multimodal Seg.
+Fifties - in 5 years robots would be everywhere.
+Sixties - in 10 years robots would be everywhere.
+Seventies - in 20 years robots would be everywhere.
+Eighties - in 40 years robots would be everywhere.
+-Marvin Minsky
+Those were the words from one of the pioneers of AI
+when asked to comment on the progress of robotics in the
+twentieth century. This shows the high expectations and
+unforeseen challenges that we are faced with for deploying
+robots in complex real-world environments. One of the primary
+impediments has been the robustness of scene understanding"

+047d7cf4301cae3d318468fe03a1c4ce43b086ed,Co-Localization of Audio Sources in Images Using Binaural Features and Locally-Linear Regression,"Co-Localization of Audio Sources in Images Using
+Binaural Features and Locally-Linear Regression
+Antoine Deleforge, Radu Horaud, Yoav Y. Schechner, Laurent Girin
+To cite this version:
+Antoine Deleforge, Radu Horaud, Yoav Y. Schechner, Laurent Girin. Co-Localization of Audio
+Sources in Images Using Binaural Features and Locally-Linear Regression. IEEE Transactions
+on Audio Speech and Language Processing, 2015, 15p. <hal-01112834>
+HAL Id: hal-01112834
+https://hal.inria.fr/hal-01112834
+Submitted on 3 Feb 2015
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+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"

+04317e63c08e7888cef480fe79f12d3c255c5b00,Face Recognition Using a Unified 3D Morphable Model,"Face Recognition Using a Unified 3D Morphable Model
+Hu, G., Yan, F., Chan, C-H., Deng, W., Christmas, W., Kittler, J., & Robertson, N. M. (2016). Face Recognition
+Using a Unified 3D Morphable Model. In Computer Vision – ECCV 2016: 14th European Conference,
+Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part VIII (pp. 73-89). (Lecture Notes in
+Computer Science; Vol. 9912). Springer Verlag. DOI: 10.1007/978-3-319-46484-8_5
+Published in:
+Computer Vision – ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14,
+016, Proceedings, Part VIII
+Document Version:
+Peer reviewed version
+Queen's University Belfast - Research Portal:
+Link to publication record in Queen's University Belfast Research Portal
+Publisher rights
+The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-46484-8_5
+General rights
+Copyright for the publications made accessible via the Queen's University Belfast Research Portal is retained by the author(s) and / or other
+opyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated
+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"

+047f8d5d5134dd12c67038623417f05ab9885056,Motion Synthesis In : Static Scan + Expression Out : Best Fitting Sequence + Angry Out : Animated Sequence Statistical Analysis Expression Recognition,"D Faces in Motion: Fully Automatic Registration and Statistical Analysis
+Timo Bolkarta,∗, Stefanie Wuhrera
+Saarland University, Saarbr¨ucken, Germany"

+0464b56c5beee717b074ed950abcc959372256a6,Fast and Robust Optimization Approaches for Pedestrian Detection,"Fast and Robust Optimization Approaches for
+Pedestrian Detection
+Victor Hugo Cunha de Melo∗, David Menotti (Co-advisor)†, William Robson Schwartz (Advisor)∗
+Computer Science Department, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
+Computer Science Department, Universidade Federal de Ouro Preto, Ouro Preto, Brazil
+Email:"

+040806bc41c0dd50273921d8d839fda58d20b01e,Socio-affective touch expression database,"RESEARCH ARTICLE
+Socio-affective touch expression database
+Haemy Lee Masson*, Hans Op de Beeck*
+Department of Brain and Cognition, KU Leuven, Leuven, Belgium
+* (HLM); (HOB)"

+040033d73d1efe316c8f0a8ed702b833a0550d83,Generating Expressions that Refer to Visible Objects,"Atlanta, Georgia, 9–14 June 2013. c(cid:13)2013 Association for Computational Linguistics
+Proceedings of NAACL-HLT 2013, pages 1174–1184,"

+04379f40d2a26dd769c53488b7b08a5123f89347,3D Facial Expression Recognition Based on Histograms of Surface Differential Quantities,"D Facial Expression Recognition Based on
+Histograms of Surface Differential Quantities
+Huibin Li1,2, Jean-Marie Morvan1,3,4, and Liming Chen1,2
+Universit´e de Lyon, CNRS
+Ecole Centrale de Lyon, LIRIS UMR5205, F-69134, Lyon, France
+Universit´e Lyon 1, Institut Camille Jordan,
+3 blvd du 11 Novembre 1918, F-69622 Villeurbanne - Cedex, France
+King Abdullah University of Science and Technology, GMSV Research Center,
+Bldg 1, Thuwal 23955-6900, Saudi Arabia"

+04bd29ec1ae0b64367ec37ddde51a0d8f8b7f670,Few-shot Object Detection,"SUBMITTED TO IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017.
+Few-shot Object Detection
+Xuanyi Dong, Liang Zheng, Fan Ma, Yi Yang, Deyu Meng"

+042510b39c6cdb463610fdda2081b36ff469a353,Human Pose Estimation from Video and IMUs,"Human Pose Estimation from Video and IMUs
+Timo von Marcard, Gerard Pons-Moll, and Bodo Rosenhahn"

+0470b0ab569fac5bbe385fa5565036739d4c37f8,Automatic face naming with caption-based supervision,"Automatic Face Naming with Caption-based Supervision
+Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek, Cordelia Schmid
+To cite this version:
+Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek, Cordelia Schmid. Automatic Face Naming
+with Caption-based Supervision. CVPR 2008 - IEEE Conference on Computer Vision
+Pattern Recognition,
+iety,
+<10.1109/CVPR.2008.4587603>. <inria-00321048v2>
+008,
+pp.1-8,
+008, Anchorage, United
+<http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4587603>.
+IEEE Computer
+States.
+HAL Id: inria-00321048
+https://hal.inria.fr/inria-00321048v2
+Submitted on 11 Apr 2011
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-"

+6a3cbe2bb27b2a7d32c358e0be4ed268f7d4455c,Shape Tracking with Occlusions via Coarse-to-Fine Region-Based Sobolev Descent,"Modeling Shape, Appearance and Self-Occlusions
+for Articulated Object Tracking
+Yanchao Yang and Ganesh Sundaramoorthi"

+6a951df76a56fc89e5df3fbba2e5699ccad4f199,Relative Pairwise Relationship Constrained Non-negative Matrix Factorisation,"IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
+Relative Pairwise Relationship Constrained
+Non-negative Matrix Factorisation
+Shuai Jiang, Kan Li, and Richard Yida Xu"

+6a3a07deadcaaab42a0689fbe5879b5dfc3ede52,Learning to Estimate Pose by Watching Videos,"Learning to Estimate Pose by Watching Videos
+Prabuddha Chakraborty and Vinay P. Namboodiri
+Department of Computer Science and Engineering
+IIT Kanpur
+{prabudc, vinaypn}"

+6afed8dc29bc568b58778f066dc44146cad5366c,Kernel Hebbian Algorithm for Single-Frame Super-Resolution,"Kernel Hebbian Algorithm for Single-Frame
+Super-Resolution
+Kwang In Kim1, Matthias O. Franz1, and Bernhard Sch¨olkopf1
+Max Planck Institute f¨ur biologische Kybernetik
+Spemannstr. 38, D-72076 T¨ubingen, Germany
+{kimki, mof,
+http://www.kyb.tuebingen.mpg.de/"

+6a951a47aa545e08508b0b2c6a2bef45e154a3a9,DeepCoder: Semi-Parametric Variational Autoencoders for Automatic Facial Action Coding,"DeepCoder: Semi-parametric Variational Autoencoders
+for Automatic Facial Action Coding
+Dieu Linh Tran∗, Robert Walecki, Ognjen (Oggi) Rudovic*, Stefanos Eleftheriadis,
+Bj¨orn Schuller and Maja Pantic
+{linh.tran, r.walecki14, bjoern.schuller,"

+6ad32b70ee21b6fc16ff4caf7b4ada2aaf13cabc,Efficient Subwindow Search: A Branch and Bound Framework for Object Localization,"Efficient Subwindow Search: A Branch and Bound
+Framework for Object Localization
+Christoph H. Lampert, Matthew B. Blaschko, and Thomas Hofmann
+n image of as low resolution as 320×240 contains more than
+one billion rectangular subimages. In general, the number of
+subimages grows quadratically with the number of image pix-
+els, which makes it computationally too expensive to evaluate
+the quality function exhaustively for all of these. Instead, one
+typically uses heuristics to speed up the search that introduce
+the risk of mispredicting the location of an object or even
+missing it."

+6a16b91b2db0a3164f62bfd956530a4206b23fea,A Method for Real-Time Eye Blink Detection and Its Application,"A Method for Real-Time Eye Blink Detection and Its Application
+Chinnawat Devahasdin Na Ayudhya
+Mahidol Wittayanusorn School
+Puttamonton, Nakornpatom 73170, Thailand"

+6a41ba9db0affa701ea125e09a2fe7eb583e3ac9,Frontal imgelerden otomatik yüz tanıma Automatic face recognition from frontal images,"Frontal imgelerden otomatik yüz tanıma
+Automatic face recognition from frontal images
+Hasan Serhan Yavuz, Hakan Çevikalp, Rıfat Edizkan
+Elektrik ve Elektronik Mühendisliği Bölümü
+Eskişehir Osmangazi Üniversitesi
+Eskişehir, Türkiye
+fotoğraflanan
+laboratuarımızda
+Özetçe—Yüz tanıma basitçe kişilere ait olan yüz imgelerinden
+kimlik  tespit  edilmesi  olarak  tanımlanabilir.  Bu  çalışmada,
+sayısal  kamera
+frontal
+imgeler  kullanılarak  yüz  tanıma  yapılmıştır.  Otomatik  yüz
+tanıma süreci sırasıyla yüz sezme, göz sezme, sezilen gözlerin orta
+noktalarını  kullanarak  belirlenen  standart  bir  yüz  şablonuna
+uyacak biçimde haritalama yapma ve sonrasında hizalanan yüz
+imgelerini  sınıflandırma  basamaklarından  oluşur.  Literatürde
+yüz  imgesi  hazırlama  süreci  genellikle  elle  yapılmaktadır.  Yüz
+imgelerinin  tamamı  birebir  aynı  biçimde  kesildiği  için  çok
+yüksek tanıma oranları elde edilir ancak bir otomatik yüz tanıma"

+6ada03f390f92704f3df1556846697c54c00f7da,Human-Machine Cooperation in Large-Scale Multimedia Retrieval: A Survey,"Human-Machine Cooperation in Large-Scale
+Multimedia Retrieval: A Survey
+Kimiaki Shirahama,1 Marcin Grzegorzek,1 and Bipin Indurkhya2
+University of Siegen, 2AGH University of Science and Technology
+Correspondence:
+Correspondence concerning this
+rticle should be addressed to Kimiaki
+Shirahama, Pattern Recognition Group,
+University of Siegen, Hoelderlinstrasse 3,
+57076 Siegen, Germany, or via email to
+Keywords:
+large-scale multimedia retrieval, human-
+machine cooperation, machine-based
+methods, human-based methods
+Large-Scale Multimedia Retrieval (LSMR) is the task to fast analyze a large amount of multi-
+media data like images or videos and accurately find the ones relevant to a certain semantic
+meaning.  Although  LSMR  has  been  investigated  for  more  than  two  decades  in  the  fields
+of multimedia processing and computer vision, a more interdisciplinary approach is neces-
+sary to develop an LSMR system that is really meaningful for humans. To this end, this paper
+ims to stimulate attention to the LSMR problem from diverse research fields. By explaining"

+6a1e5f4dbabf451122bf35228c8b25c79c7d235f,Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation,"Learning to See the Invisible: End-to-End
+Trainable Amodal Instance Segmentation
+Patrick Follmann, Rebecca K¨onig, Philipp H¨artinger, Michael Klostermann
+MVTec Software GmbH,
+www.mvtec.com,"

+6a806978ca5cd593d0ccd8b3711b6ef2a163d810,Facial Feature Tracking for Emotional Dynamic Analysis,"Facial feature tracking for Emotional Dynamic
+Analysis
+Thibaud Senechal1, Vincent Rapp1, and Lionel Prevost2
+ISIR, CNRS UMR 7222
+Univ. Pierre et Marie Curie, Paris
+{rapp,
+LAMIA, EA 4540
+Univ. of Fr. West Indies & Guyana"

+6a27ffd788a0db64fef74e673786763c82902a26,Discriminative deep transfer metric learning for cross-scenario person re-identification,"Downloaded From: https://www.spiedigitallibrary.org/journals/Journal-of-Electronic-Imaging on 9/13/2018
+Terms of Use: https://www.spiedigitallibrary.org/terms-of-use
+Discriminativedeeptransfermetriclearningforcross-scenariopersonre-identificationTongguangNiXiaoqingGuHongyuanWangZhongbaoZhangShoubingChenCuiJinTongguangNi,XiaoqingGu,HongyuanWang,ZhongbaoZhang,ShoubingChen,CuiJin,“Discriminativedeeptransfermetriclearningforcross-scenariopersonre-identification,”J.Electron.Imaging27(4),043026(2018),doi:10.1117/1.JEI.27.4.043026."

+6a8a3c604591e7dd4346611c14dbef0c8ce9ba54,An Affect-Responsive Interactive Photo Frame,"ENTERFACE’10, JULY 12TH - AUGUST 6TH, AMSTERDAM, THE NETHERLANDS.
+An Affect-Responsive Interactive Photo Frame
+Hamdi Dibeklio˘glu, Ilkka Kosunen, Marcos Ortega Hortas, Albert Ali Salah, Petr Zuz´anek"

+6a1fd51107770edbdd832a1934ff5461e891f2e1,A Robust and Dominant Local Binary Pattern and Its Application,"IJSRD - International Journal for Scientific Research & Development| Vol. 2, Issue 10, 2014 | ISSN (online): 2321-0613
+A Robust and Dominant Local Binary Pattern and Its Application
+Keerthana A.V1 Ashwin M2
+Student of M.E 2Associate Professor
+,2Department of Computer Science & Engineering
+,2Adhiyamaan College of Engineering, Krishnagiri, Tamilnadu, India
+Local
+ternary
+Pattern,  modified"

+6a0b70abb9a81a96d4baa9b396deb9da4cc20f8f,Clustering through ranking on manifolds,"Clustering Through Ranking On Manifolds
+Markus Breitenbach
+Dept. of Computer Science; University of Colorado, Boulder, USA
+Gregory Z. Grudic
+Dept. of Computer Science; University of Colorado, Boulder, USA"

+6a52e6fce541126ff429f3c6d573bc774f5b8d89,Role of Facial Emotion in Social Correlation,"Role of Facial Emotion in Social Correlation
+Pankaj Mishra, Rafik Hadfi, and Takayuki Ito
+Department of Computer Science and Engineering
+Nagoya Institute of Technology, Gokiso, Showa-ku, Nagoya, 466-8555 Japan
+{pankaj.mishra,"

+6a14652508138fcf0aa8c518109165f65c88fd3f,Programming a humanoid robot in natural language: an experiment with description logics,"Programming a humanoid robot in natural language:
+n experiment with description logics
+Nicola Vitucci , Alessio Mauro Franchi, Giuseppina Gini
+DEIB, Politecnico di Milano
+Milano, Italy"

+6ae13c7dcd1d10d2dfe58546a49da09b0b471d68,Person-independent facial expression recognition based on compound local binary pattern (CLBP),"The International Arab Journal of Information Technology, Vol. 11, No. 2, March 2014                                                          195
+Person-Independent Facial Expression Recognition
+Based on Compound Local Binary Pattern (CLBP)
+Department of Computer Science and Engineering, Islamic University of Technology, Bangladesh
+Faisal Ahmed1, Hossain Bari2, and Emam Hossain3
+2Samsung Bangladesh R & D Center Ltd, Bangladesh
+3Department of Computer Science and Engineering, Ahsanullah University of Science and Technology,
+Bangladesh"

+6af35225cfd744b79577c126e553f549e5b5cdcc,Title Discriminative Hessian Eigenmaps for face recognition,"Title
+Discriminative Hessian Eigenmaps for face recognition
+Author(s)
+Si, S; Tao, D; Chan, KP
+Citation
+The 2010 IEEE  International Conference on Acoustics, Speech
+nd Signal Processing (ICASSP), Dallas, TX., 14-19 March 2010.
+In IEEE International Conference on Acoustics, Speech and
+Signal Processing Proceedings, 2010, p. 5586-5589
+Issued Date
+http://hdl.handle.net/10722/125723
+Rights
+IEEE International Conference on Acoustics, Speech and Signal
+Processing Proceedings. Copyright © IEEE.; ©2010 IEEE.
+Personal use of this material is permitted. However, permission
+to reprint/republish this material for advertising or promotional
+purposes or for creating new collective works for resale or
+redistribution to servers or lists, or to reuse any copyrighted
+omponent of this work in other works must be obtained from
+the IEEE.; This work is licensed under a Creative Commons"

+6a553f7ef42000001f407e95f4955e7ddde46a83,A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic Segmentation,"IJCARS manuscript No.
+(will be inserted by the editor)
+A Dataset of Laryngeal Endoscopic Images with
+Comparative Study on Convolution Neural Network
+Based Semantic Segmentation
+Max-Heinrich Laves · Jens Bicker · Lüder
+A. Kahrs · Tobias Ortmaier
+Received: date / Accepted: date"

+6a6280189ead63b2eec733b8e8ac507e830928fd,Face localization in color images with complex background,"Face localization in color images with complex
+ackground
+Paola Campadelli, Raffaella Lanzarotti, Giuseppe Lipori
+Dipartimento di Scienze dell’Informazione
+Universit(cid:30)a degli Studi di Milano
+Via Comelico, 39/41 20135 Milano, Italy
+fcampadelli, lanzarotti,"

+6ac7fe3a292dc5e0f7d27e11b85ed8277905e9ba,Detecting Traffic Lights by Single Shot Detection,"Detecting Traffic Lights by Single Shot Detection
+Julian M¨uller1 and Klaus Dietmayer1"

+6a55d6db1b31f44c9bb37b070fbf7c8f64a31f13,Aging and Emotion Recognition : An Examination of Stimulus and Attentional Mechanisms,"Cleveland State University
+ETD Archive
+Aging and Emotion Recognition: An Examination
+of Stimulus and Attentional Mechanisms
+Stephanie Nicole Sedall
+Follow this and additional works at: http://engagedscholarship.csuohio.edu/etdarchive
+Part of the Experimental Analysis of Behavior Commons
+How does access to this work benefit you? Let us know!
+Recommended Citation
+Sedall, Stephanie Nicole, ""Aging and Emotion Recognition: An Examination of Stimulus and Attentional Mechanisms"" (2016). ETD
+Archive. 903.
+http://engagedscholarship.csuohio.edu/etdarchive/903
+This Thesis is brought to you for free and open access by It has been accepted for inclusion in ETD Archive by an
+uthorized administrator of For more information, please contact"

+6aa21d78af359853ee07288cfc8d047e914ce458,Facial Expression Recognition using Log-Euclidean Statistical Shape Models,"FACIAL EXPRESSION RECOGNITION USING
+LOG-EUCLIDEAN STATISTICAL SHAPE MODELS
+Bartlomiej W. Papiez, Bogdan J. Matuszewski, Lik-Kwan Shark and Wei Quan
+Applied Digital Signal and Image Processing Research Centre, University of Central Lancashire, PR1 2HE Preston, U.K.
+Keywords:
+Facial expression representation, Facial expression recognition, Vectorial log-Euclidean statistics, Statistical
+shape modelling."

+6a75ef6b36489cb59c61f21f3cd09c50ad5b2995,MVTec D2S: Densely Segmented Supermarket Dataset,"MVTec D2S: Densely Segmented Supermarket
+Dataset
+Patrick Follmann1,2[0000−0001−5400−2384], Tobias B¨ottger1,2[0000−0002−5404−8662],
+Philipp H¨artinger1[0000−0002−7093−6280], Rebecca K¨onig1[0000−0002−4169−6759],
+nd Markus Ulrich1[0000−0001−8457−5554]
+MVTec Software GmbH, 80634 Munich, Germany
+https://www.mvtec.com/research
+Technical University of Munich, 80333 Munich, Germany"

+6ac1dc59e823d924e797afaf5c4a960ed7106f2a,Deep Facial Expression Recognition: A Survey,"Deep Facial Expression Recognition: A Survey
+Shan Li and Weihong Deng∗, Member, IEEE"

+6ae47c7793e2f0f684ae07357335c7cf338d66ef,Optimistic and pessimistic neural networks for object recognition,"published in: International Conference on Image Processing (ICIP) 2017
+OPTIMISTIC AND PESSIMISTIC NEURAL NETWORKS FOR OBJECT RECOGNITION
+Rene Grzeszick
+Sebastian Sudholt
+Gernot A. Fink
+email:
+TU Dortmund University, Germany"

+6acc92f30c7a141384b9b1bbec8dffe16b08a438,Improving Bag-of-Visual-Words Towards Effective Facial Expressive Image Classification,"Improving Bag-of-Visual-Words Towards Effective Facial Expressive
+Image Classification
+Dawood Al Chanti1 and Alice Caplier1
+Univ. Grenoble Alpes, CNRS, Grenoble INP∗ , GIPSA-lab, 38000 Grenoble, France
+Keywords:
+BoVW, k-means++, Relative Conjunction Matrix, SIFT, Spatial Pyramids, TF.IDF."

+6af98f9843ba629ae1b0347e8b8d81a263f8d7f2,Does this recession make me look black? The effect of resource scarcity on the categorization of biracial faces.,"Short Report
+Does This Recession Make Me Look Black?
+The Effect of Resource Scarcity on the
+Categorization of Biracial Faces
+3(12) 1476 –1478
+© The Author(s) 2012
+Reprints and permission:
+sagepub.com/journalsPermissions.nav
+DOI: 10.1177/0956797612450892
+http://pss.sagepub.com
+Christopher D. Rodeheffer, Sarah E. Hill, and Charles G. Lord
+Texas Christian University
+Received 2/27/12; Revision accepted 5/10/12
+Prosperity makes friends; adversity tries them.
+—Publilius Syrus (Lyman, 1856, p. 73)
+In-group  biases  are  a  ubiquitous  feature  of  human  social  life
+(e.g., Brewer, 1979; Halevy, Bornstein, & Sagiv, 2008; Mullen,
+Dovidio, Johnson, & Copper, 1992; Tajfel, 1982). One explana-
+tion  offered  for  these  biases  is  that  they  arise  from  resource
+ompetition between groups (e.g., Kurzban & Neuberg, 2005;"

+6aefe7460e1540438ffa63f7757c4750c844764d,Non-rigid Segmentation Using Sparse Low Dimensional Manifolds and Deep Belief Networks,"Non-rigid Segmentation using Sparse Low Dimensional Manifolds and
+Deep Belief Networks ∗
+Jacinto C. Nascimento
+Instituto de Sistemas e Rob´otica
+Instituto Superior T´ecnico, Portugal"

+6ad5a38df8dd4cdddd74f31996ce096d41219f72,Multi-cue onboard pedestrian detection,"Objectives
+Implementation details
+Experiments on TUD-Brussels
+Conclusion
+{wojek, walk,
+Multi-Cue Onboard Pedestrian Detection
+Christian Wojek, Stefan Walk, Bernt Schiele
+Computer Science Department, TU Darmstadt, Germany
+Detect pedestrians from a moving platform
+• Exploit motion information
+• Leverage complementarity of features
+• Evaluate different classifiers
+• New datasets with image pairs
+Features
+• HOG [1]
+8× 8 pixel cells, 2× 2 blocks
+9-bin histograms, unsigned gradients
+• Haar wavelets [2]
+2 and 16 pixel masks
+horizontal, vertical and diagonal re-"

+6a1da83440c7685f5a03e7bda17be9025e0892e3,Semantic Match Consistency for Long-Term Visual Localization,"Semantic Match Consistency for Long-Term
+Visual Localization
+Carl Toft1, Erik Stenborg1, Lars Hammarstrand1, Lucas Brynte1, Marc
+Pollefeys2,3, Torsten Sattler2, Fredrik Kahl1
+Department of Electrical Engineering, Chalmers University of Technology, Sweden
+Department of Computer Science, ETH Z¨urich, Switzerland
+Microsoft, Switzerland"

+6a7ec333ccabd41b9d20f05c145b3377f6045f43,Face Recognition under Varying,(cid:13) 2010 Zihan Zhou

+6a9c460952a96a04e12caa7bae07ae2f7df1238e,Exploiting scene context for on-line object tracking in unconstrained environments. (Exploitation du contexte de scène pour le suivi d'objet en ligne dans des environnements non contraints),"Exploiting scene context for on-line object tracking in
+unconstrained environments
+Salma Moujtahid
+To cite this version:
+Salma Moujtahid. Exploiting scene context for on-line object tracking in unconstrained environments.
+Modeling and Simulation. Université de Lyon, 2016. English. <NNT : 2016LYSEI110>. <tel-
+01783935>
+HAL Id: tel-01783935
+https://tel.archives-ouvertes.fr/tel-01783935
+Submitted on 2 May 2018
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+6ade1e0d4744d2eb5bf7bab97289ffd7eeb5a661,Simulated+unsupervised Learning with Adaptive Data Generation and Bidirectional Mappings,"Published as a conference paper at ICLR 2018
+SIMULATED+UNSUPERVISED LEARNING WITH
+ADAPTIVE DATA GENERATION AND
+BIDIRECTIONAL MAPPINGS
+Kangwook Lee∗, Hoon Kim∗& Changho Suh
+School of Electrical Engineering
+KAIST
+Daejeon, South Korea"

+6a536aa4ecd6359d54a34aca7eff828e4df02730,Multimodal Observation and Interpretation of Subjects Engaged in Problem Solving,"Multimodal Observation and Interpretation of Subjects Engaged
+in Problem Solving
+Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP*, LIG,
+Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP*, LIG,
+(cid:140)omas Guntz
+F-38000 Grenoble, France
+Dominique Vaufreydaz
+F-38000 Grenoble, France
+Ra(cid:130)aella Balzarini
+F-38000 Grenoble, France
+James Crowley
+F-38000 Grenoble, France
+Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP*, LIG,
+Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP*, LIG,"

+6a69b790a7ec5a396607eb717da2b271a750faaa,Stacked Latent Attention for Multimodal Reasoning,"Stacked Latent Attention for Multimodal Reasoning
+Haoqi Fan
+Jiatong Zhou
+Facebook Research
+Facebook Research
+Hacker Way
+Hacker Way"

+6a7e464464f70afea78552c8386f4d2763ea1d9c,Facial Landmark Localization – A Literature Survey,"Review Article
+International Journal of Current Engineering and Technology
+E-ISSN 2277 – 4106, P-ISSN 2347 - 5161
+©2014 INPRESSCO
+, All Rights Reserved
+Available at http://inpressco.com/category/ijcet
+Facial Landmark Localization – A Literature Survey
+Dhananjay RathodȦ*, Vinay A, Shylaja SSȦ and S NatarajanȦ
+ȦDepartment of Information Science and Engineering, PES Institute of Technology, Bangalore, Karnataka, India
+Accepted 25 May 2014, Available online 01 June2014, Vol.4, No.3 (June 2014)"

+32925200665a1bbb4fc8131cd192cb34c2d7d9e3,An Active Appearance Model with a Derivative-Free Optimization,"MVA2009 IAPR Conference on Machine Vision Applications, May 20-22, 2009, Yokohama, JAPAN
+An Active Appearance Model with a Derivative-Free
+Optimization
+Jixia ZHANG‡, Franck DAVOINE†, Chunhong PAN‡
+CNRS†, Institute of Automation of the Chinese Academy of Sciences‡
+95, Zhongguancun Dong Lu, PO Box 2728 − Beijing 100190 − PR China
+LIAMA Sino-French IT Lab."

+322c063e97cd26f75191ae908f09a41c534eba90,Improving Image Classification Using Semantic Attributes,"Noname manuscript No.
+(will be inserted by the editor)
+Improving Image Classification using Semantic Attributes
+Yu Su · Fr´ed´eric Jurie
+Received: date / Accepted: date"

+320e2c950d5b31cb371208a6b752a94585ac6665,Context-Patch Face Hallucination Based on Thresholding Locality-constrained Representation and Reproducing Learning,"Context-Patch Face Hallucination Based on
+Thresholding Locality-constrained Representation
+nd Reproducing Learning
+Junjun Jiang, Member, IEEE, Yi Yu, Suhua Tang, Member, IEEE, Jiayi Ma, Member, IEEE, Akiko Aizawa, and
+Kiyoharu Aizawa, Fellow, IEEE"

+329c06c00c627c0b041d330f3c0142a88b7cb1e5,Bayesian Sparsification of Gated Recurrent Neural Networks,"Bayesian Sparsification of Gated Recurrent Neural
+Networks
+Ekaterina Lobacheva1∗, Nadezhda Chirkova1∗, Dmitry Vetrov1,2
+Samsung-HSE Laboratory, National Research University Higher School of Economics
+Samsung AI Center
+Moscow, Russia
+{elobacheva, nchirkova,"

+32bd968e6cf31e69ee5fca14d3eadeec7f4187c6,Monocular Pedestrian Detection: Survey and Experiments,"Monocular Pedestrian Detection:
+Survey and Experiments
+Markus Enzweiler, Student Member, IEEE, and Dariu M. Gavrila"

+325b048ecd5b4d14dce32f92bff093cd744aa7f8,Multi-Image Graph Cut Clothing Segmentation for Recognizing People,"#2670
+CVPR 2008 Submission #2670. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
+#2670
+Multi-Image Graph Cut Clothing Segmentation for Recognizing People
+Anonymous CVPR submission
+Paper ID 2670"

+327f3d65a380f70bc39fe99c7ad55d76a5f7fff4,A data-synthesis-driven method for detecting and extracting vague cognitive regions,"International Journal of Geographical Information
+Science
+ISSN: 1365-8816 (Print) 1362-3087 (Online) Journal homepage: http://www.tandfonline.com/loi/tgis20
+A data-synthesis-driven method for detecting and
+extracting vague cognitive regions
+Song Gao, Krzysztof Janowicz, Daniel R. Montello, Yingjie Hu, Jiue-An Yang,
+Grant McKenzie, Yiting Ju, Li Gong, Benjamin Adams & Bo Yan
+To cite this article: Song Gao, Krzysztof Janowicz, Daniel R. Montello, Yingjie Hu, Jiue-An
+Yang, Grant McKenzie, Yiting Ju, Li Gong, Benjamin Adams & Bo Yan (2017): A data-synthesis-
+driven method for detecting and extracting vague cognitive regions, International Journal of
+Geographical Information Science, DOI: 10.1080/13658816.2016.1273357
+To link to this article:  http://dx.doi.org/10.1080/13658816.2016.1273357
+Published online: 08 Jan 2017.
+Submit your article to this journal
+View related articles
+View Crossmark data
+Full Terms & Conditions of access and use can be found at
+http://www.tandfonline.com/action/journalInformation?journalCode=tgis20
+Download by: [UC Santa Barbara Library]
+Date: 09 January 2017, At: 09:44"

+32f7e1d7fa62b48bedc3fcfc9d18fccc4074d347,Hierarchical Sparse and Collaborative Low-Rank representation for emotion recognition,"HIERARCHICAL SPARSE AND COLLABORATIVE LOW-RANK REPRESENTATION FOR
+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,"

+32743e72cdb481b7a30a3d81a96569dcbea4e409,Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt for Mobile and Embedded Applications,"Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt for
+Mobile and Embedded Applications
+Baohua Sun,
+Lin Yang,
+Patrick Dong, Wenhan Zhang,
+Gyrfalcon Technology Inc.
+Jason Dong, Charles Young
+900 McCarthy Blvd. Milpitas, CA 95035"

+32a6f6aa50ce2a631bf4de7432f830b29b6b05f2,Through the eyes of a child: preschoolers' identification of emotional expressions from the child affective facial expression (CAFE) set.,"Cognition and Emotion
+ISSN: 0269-9931 (Print) 1464-0600 (Online) Journal homepage: http://www.tandfonline.com/loi/pcem20
+Through the eyes of a child: preschoolers’
+identification of emotional expressions from the
+hild affective facial expression (CAFE) set
+Vanessa LoBue, Lewis Baker & Cat Thrasher
+To cite this article: Vanessa LoBue, Lewis Baker & Cat Thrasher (2017): Through the eyes of a
+hild: preschoolers’ identification of emotional expressions from the child affective facial expression
+(CAFE) set, Cognition and Emotion, DOI: 10.1080/02699931.2017.1365046
+To link to this article:  http://dx.doi.org/10.1080/02699931.2017.1365046
+Published online: 10 Aug 2017.
+Submit your article to this journal
+View related articles
+View Crossmark data
+Full Terms & Conditions of access and use can be found at
+http://www.tandfonline.com/action/journalInformation?journalCode=pcem20
+Download by: [173.56.101.121]
+Date: 10 August 2017, At: 05:46"

+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"

+32cde90437ab5a70cf003ea36f66f2de0e24b3ab,The Cityscapes Dataset for Semantic Urban Scene Understanding,"The Cityscapes Dataset for Semantic Urban Scene Understanding
+Marius Cordts1,2
+Markus Enzweiler1
+Mohamed Omran3
+Rodrigo Benenson3
+Sebastian Ramos1,4
+Timo Rehfeld1,2
+Uwe Franke1
+Stefan Roth2
+Bernt Schiele3
+Daimler AG R&D, 2TU Darmstadt, 3MPI Informatics, 4TU Dresden
+www.cityscapes-dataset.net
+train/val – fine annotation – 3475 images
+train – coarse annotation – 20 000 images
+test – fine annotation – 1525 images"

+323d6d93b059372bbe26a86bad1b9d94b076f50e,(A) Vision for 2050 - Context-Based Image Understanding for a Human-Robot Soccer Match,"Electronic Communications of the EASST
+Volume 62 (2013)
+Specification, Transformation, Navigation
+Special Issue dedicated to Bernd Krieg-Br¨uckner
+on the Occasion of his 60th Birthday
+(A) Vision for 2050 – Context-Based Image Understanding for a
+Human-Robot Soccer Match
+Udo Frese, Tim Laue, Oliver Birbach, and Thomas R¨ofer
+9 pages
+Guest Editors: Till Mossakowski, Markus Roggenbach, Lutz Schr¨oder
+Managing Editors: Tiziana Margaria, Julia Padberg, Gabriele Taentzer
+ISSN 1863-2122"

+3274a13562029f36e2f0fad3270e3ecb9ca013bd,Real-time UAV Target Tracking System Based on Optical Flow and Particle Filter Integration,"Real-time UAV Target Tracking System Based on Optical Flow and
+Particle Filter Integration
+WESAM ASKAR
+Electrical Engineering
+Military Tech. College
+EGYPT
+OSAMA ELMOWAFY
+Computer Engineering
+New Cairo Academy
+ALIAA YOUSSIF
+Computer Engineering
+Helwan University
+GAMAL ELNASHAR
+Electrical Engineering
+Military Tech. College
+EGYPT
+EGYPT
+EGYPT"

+325c9f6f848407a22b86e3253cb7f29fac19e40c,Change Detection in Crowded Underwater Scenes - Via an Extended Gaussian Switch Model Combined with a Flux Tensor Pre-segmentation,"Change Detection in Crowded Underwater Scenes
+via an Extended Gaussian Switch Model combined with a Flux Tensor
+Pre-Segmentation
+Martin Radolko1,2, Fahimeh Farhadifard1,2 and Uwe von Lukas1,2
+Institute for Computer Science, University Rostock, Rostock, Germany
+Fraunhofer Institute for Computer Fraphics Research IGD , Rostock, Germany
+{Martin.Radolko,
+Keywords:
+Change Detection, Background Subtraction, Video Segmentation, Video Segregation, Underwater Segmenta-
+tion, Flux Tensor"

+32d8194269faf6ae505a8d7937a3423e4830187e,Big Five Personality Recognition from Multiple Text Genres,"Big Five Personality Recognition from
+Multiple Text Genres
+Vitor Garcia dos Santos, Ivandr´e Paraboni, and Barbara Barbosa Claudino Silva
+University of S˜ao Paulo, School of Arts, Sciences and Humanities, S˜ao Paulo, Brazil"

+324cf94743359df3ada2f86ee8cd3bb6dccae695,FERA 2015 - Second Facial Expression Recognition and Analysis Challenge,"FG 2015
+FG 2015 Submission. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
+FG 2015
+FERA 2015 - Second Facial Expression Recognition and Analysis
+Challenge
+Anonymous FG 2015 submission
+– DO NOT DISTRIBUTE –"

+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
+nd Video Processing
+R EV I E W
+Entropy-weighted feature-fusion method
+for head-pose estimation
+Xiao-Meng Wang*, Kang Liu and Xu Qian
+Open Access"

+32575ffa69d85bbc6aef5b21d73e809b37bf376d,Measuring Biometric Sample Quality in Terms of Biometric Information,"-)5741/ *1-641+ 5)2- 37)16; 1 6-45 . *1-641+ 1.4)61
+;K=H=
+5?D B 1BH=JE 6A?DCO -CEAAHEC
+7ELAHIEJO B JJ=M=
+J=HE
+)*564)+6
+6DEI F=FAH = AM =FFH=?D J A=
+IKHA L=HE=JEI E >EAJHE? I=FA GK=EJO 9A >ACE MEJD
+JDA EJKEJE JD=J J = >EAJHE? I=FA ME HA
+JDA =KJ B EBH=JE =L=E=>A 1 H
+J A=IKHA JDA =KJ B EBH=JE MA
+>EAJHE? EBH=JE =I JDA E K?AHJ=EJO
+=>KJ JDA B = FAHI J = IAJ B >EAJHE? A=
+IKHAAJI 9A JDA IDM JD=J JDA >EAJHE? EBH=JE BH
+= FAHI =O >A >O JDA HA=JELA AJHFO D(p(cid:107)q)
+>AJMAA JDA FFK=JE BA=JKHA q JDA FAHII
+BA=JKHA p 6DA >EAJHE? EBH=JE BH = IOI
+JA EI JDA A= D(p(cid:107)q) BH = FAHII E JDA FFK=JE 1
+J FH=?JE?=O A=IKHA D(p(cid:107)q) MEJD I=
+FAI MA = =CHEJD MDE?D HACK=HEAI = /=KIIE="

+320ea4748b1f7e808eabedbedb75cce660122d26,"Detecting Avocados to Zucchinis: What Have We Done, and Where Are We Going?","Detecting avocados to zucchinis: what have we done, and where are we going?
+Olga Russakovsky1, Jia Deng1, Zhiheng Huang1, Alexander C. Berg2, Li Fei-Fei1
+Stanford University1 , UNC Chapel Hill2"

+325000c2ebe4fcfd08946aef91aee8bec22026a5,Multi-Label Learning With Fused Multimodal Bi-Relational Graph,"Multi-Label Learning With Fused
+Multimodal Bi-Relational Graph
+Jiejun Xu, Vignesh Jagadeesh, and B. S. Manjunath, Fellow, IEEE"

+32b9be86de4f82c5a43da2a1a0a892515da8910d,Robust False Positive Detection for Real-Time Multi-target Tracking,"Robust False Positive Detection for Real-Time
+Multi-Target Tracking
+Henrik Brauer, Christos Grecos, and Kai von Luck
+University of the West of Scotland
+University of Applied Sciences Hamburg"

+3265c7799f9d14e29de37b1e37aec4330cd1d747,Class-Specific Binary Correlograms for Object Recognition,"Class-Specific Binary Correlograms for Object
+Recognition
+Jaume Amores1, Nicu Sebe2, Petia Radeva3
+IMEDIA Research Group, INRIA, France
+Univ. of Amsterdam, The Netherlands
+Computer Vision Center, UAB, Spain"

+323fabb6cb4e74518fd4c7ad6ea5a1b2674e63d3,Object recognition based on radial basis function neural networks: Experiments with RGB-D camera embedded on mobile robots,"Object Recognition Based on Radial Basis Function
+Neural Networks: experiments with RGB-D camera
+embedded on mobile robots
+Saeed Gholami Shahbandi
+LISA - University of Angers
+Philippe Lucidarme
+LISA - University of Angers
+62 av. Notre Dame du Lac, 49000 Angers, France
+62 av. Notre Dame du Lac, 49000 Angers, France"

+3214ce1c8c86c0c4670e3f8b8f4351d8fa44434d,Deep Semantic Pyramids for Human Attributes and Action Recognition,"Deep Semantic Pyramids for Human Attributes
+nd Action Recognition
+Fahad Shahbaz Khan1(B), Rao Muhammad Anwer2, Joost van de Weijer3,
+Michael Felsberg1, and Jorma Laaksonen2
+Computer Vision Laboratory, Link¨oping University, Link¨oping, Sweden
+Department of Information and Computer Science,
+Aalto University School of Science, Aalto, Finland
+Computer Vision Center, CS Department, Universitat Autonoma de Barcelona,
+Barcelona, Spain"

+32d6ee09bd8f1a7c42708d6dd8a5fb85ac4e08bc,Non-Interfering Effects of Active Post-Encoding Tasks on Episodic Memory Consolidation in Humans,"ORIGINAL RESEARCH
+published: 29 March 2017
+doi: 10.3389/fnbeh.2017.00054
+Non-Interfering Effects of Active
+Post-Encoding Tasks on Episodic
+Memory Consolidation in Humans
+Samarth Varma 1*, Atsuko Takashima 1,2, Sander Krewinkel 1, Maaike van Kooten 1,
+Lily Fu 1, W. Pieter Medendorp 1, Roy P. C. Kessels 1 and Sander M. Daselaar 1
+Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands, 2Department of
+Neurobiology of Language, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
+So far, studies that investigated interference effects of post-learning processes on
+episodic memory consolidation in humans have used tasks involving only complex and
+meaningful information. Such tasks require reallocation of general or encoding-specific
+resources away from consolidation-relevant activities. The possibility that interference
+an be elicited using a task that heavily taxes our limited brain resources, but has
+low semantic and hippocampal related long-term memory processing demands, has
+never been tested. We address this question by investigating whether consolidation
+ould persist in parallel with an active, encoding-irrelevant, minimally semantic task,
+regardless of its high resource demands for cognitive processing. We distinguish the
+impact of such a task on consolidation based on whether it engages resources that"

+32f0c95cee39eba143452d6a0fe93283575257e6,Generative Adversarial Networks for Extreme Learned Image Compression,"GENERATIVE ADVERSARIAL NETWORKS FOR
+EXTREME LEARNED IMAGE COMPRESSION
+Eirikur Agustsson∗, Michael Tschannen∗, Fabian Mentzer∗, Radu Timofte & Luc Van Gool
+{aeirikur, mentzerf, radu.timofte,
+ETH Zurich"

+32728e1eb1da13686b69cc0bd7cce55a5c963cdd,Automatic Facial Emotion Recognition Method Based on Eye Region Changes,"Automatic Facial Emotion Recognition Method Based on Eye
+Region Changes
+Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran
+Mina Navraan
+Nasrollah Moghadam Charkari*
+Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran
+Muharram Mansoorizadeh
+Faculty of Electrical and Computer Engineering, Bu-Ali Sina University, Hamadan, Iran
+Received: 19/Apr/2015            Revised: 19/Mar/2016            Accepted: 19/Apr/2016"

+32ef19e90e7834ec09ef19fcef7cd2aa6eff85a9,Modeling Natural Images Using Gated MRFs,"JOURNAL OF PAMI, VOL. ?, NO. ?, JANUARY 20??
+Modeling Natural Images Using Gated MRFs
+Marc’Aurelio Ranzato, Volodymyr Mnih, Joshua M. Susskind, Geoffrey E. Hinton"

+326df1b94624b7958cff0f7e3d16e612ea9d7e4d,Similarity Rank Correlation for Face Recognition Under Unenrolled Pose,"Similarity Rank Correlation for Face
+Recognition Under Unenrolled Pose
+Marco K. M¨uller, Alexander Heinrichs, Andreas H.J. Tewes,
+Achim Sch¨afer, and Rolf P. W¨urtz
+Institut f¨ur Neuroinformatik, Ruhr-Universit¨at, D–44780 Bochum, Germany"

+323cd51bc18c700fa88044dd24ae663a7eabaa68,Utilizing student activity patterns to predict performance,"Casey and Azcona International Journal of Educational Technology
+in Higher Education  (2017) 14:4
+DOI 10.1186/s41239-017-0044-3
+R ES EAR CH A R T I C LE
+Utilizing student activity patterns to predict
+performance
+Kevin Casey1* and David Azcona2
+Open Access
+* Correspondence:
+Maynooth University, Maynooth,
+Ireland
+Full list of author information is
+vailable at the end of the article"

+32c6086b1605698c8b775b6920741981e85b217d,Designing and sharing activity recognition systems across platforms: methods from wearable computing,"IEEE RAM - SPECIAL ISSUE TOWARDS A WWW FOR ROBOTS
+Designing and sharing activity recognition systems
+cross platforms: methods from wearable computing
+Daniel Roggen, Member, IEEE, and St´ephane Magnenat, Member, IEEE, and Markus Waibel, Member, IEEE,
+nd Gerhard Tr¨oster, Senior Member, IEEE"

+321fbbe7da848b602f376219ed9aed6a7f4b7f57,Effective Use of Frequent Itemset Mining for Image Classification,"Effective Use of Frequent Itemset Mining for
+Image Classification
+Basura Fernando1, Elisa Fromont2, and Tinne Tuytelaars1
+KU Leuven, ESAT-PSI, IBBT (Belgium)
+University of Saint-Etienne(France)"

+324d82129642f84838be71bd7401f38c80fb87d7,Adaptive Mixtures of Factor Analyzers,"Adaptive Mixtures of Factor Analyzers
+Heysem Kayaa,∗, Albert Ali Salaha
+Department of Computer Engineering
+Bo˘gazi¸ci University, 34342, Bebek, ˙Istanbul"

+324b9369a1457213ec7a5a12fe77c0ee9aef1ad4,Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network,"Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network
+Jinwei Gu Xiaodong Yang Shalini De Mello Jan Kautz
+NVIDIA"

+3295ec2e52cd83cec75fc7c7064a843756b4d1ee,An Efficient Pedestrian Detection Approach Using a Novel Split Function of Hough Forests,"Regular Paper
+Journal of Computing Science and Engineering,
+Vol. 8, No. 4, December 2014, pp. 207-214
+An Efficient Pedestrian Detection Approach Using a Novel Split
+Function of Hough Forests
+Trung Dung Do, Thi Ly Vu, Van Huan Nguyen, Hakil Kim*, and Chongho Lee
+School of Information and Communication Engineering, Inha University, Incheon, Korea
+{dotrungdung, vuthily, {hikim,"

+32df63d395b5462a8a4a3c3574ae7916b0cd4d1d,Facial expression recognition using ensemble of classifiers,"978-1-4577-0539-7/11/$26.00 ©2011 IEEE
+ICASSP 2011"

+35570297681daa3973498eabead361d0be961672,Configuration Estimates Improve Pedestrian Finding,"Configuration Estimates Improve Pedestrian Finding
+Duan Tran∗
+U.Illinois at Urbana-Champaign
+Urbana, IL 61801 USA
+D.A. Forsyth
+U.Illinois at Urbana-Champaign
+Urbana, IL 61801 USA"

+35af45f799c65d21bbb3cd24f666de861bad33b0,Multi-Target Tracking by Discrete-Continuous Energy Minimization,"Multi-Target Tracking by
+Discrete-Continuous Energy Minimization
+Anton Milan, Member, IEEE, Konrad Schindler, Senior Member, IEEE and
+Stefan Roth, Member, IEEE,"

+35308a3fd49d4f33bdbd35fefee39e39fe6b30b7,Efficient and effective human action recognition in video through motion boundary description with a compact set of trajectories,"biblio.ugent.be   The UGent Institutional Repository is the electronic archiving and dissemination platform for allUGent research publications. Ghent University has implemented a mandate stipulating that allacademic publications of UGent researchers should be deposited and archived in this repository.Except for items where current copyright restrictions apply, these papers are available in OpenAccess.   This item is the archived peer-reviewed author-version of:   Efficient and effective human action recognition in video through motion boundary description witha compact set of trajectories   Jeong-Jik Seo, Jisoo Son, Hyung-Il Kim, Wesley De Neve, and Yong Man Ro   In: 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition,1, 1-6, 2015.     To refer to or to cite this work, please use the citation to the published version:   Seo, J., Son, J., Kim, H., De Neve, W., and Ro, Y. M. (2015). Efficient and effective human actionrecognition in video through motion boundary description with a compact set of trajectories. 11thIEEE International Conference and Workshops on Automatic Face and Gesture Recognition 1 1-6.http://dx.doi.org/10.1109/FG.2015.7163123"

+3535ba0cba9bf03443d52cbfc9a87090ca2e5d49,Supplementary Material : Synthesized Classifiers for Zero-Shot Learning,"Supplementary Material:
+Synthesized Classifiers for Zero-Shot Learning
+Soravit Changpinyo∗, Wei-Lun Chao∗
+U. of Southern California
+Los Angeles, CA
+Boqing Gong
+U. of Central Florida
+Orlando, FL
+schangpi,
+Fei Sha
+U. of California
+Los Angeles, CA
+In this Supplementary Material, we provide details
+omitted in the main text.
+• Section 1: cross-validation strategies (Section 3.2
+of the main paper).
+• Section 2: learning metrics for semantic similarity
+(Section 3.1 of the main paper).
+• Section 3: details on experimental setup (Sec-
+tion 4.1 of the main paper)."

+35c0220ab8a8281129a00ac32ef2f488fb562eb7,Part Annotations via Pairwise Correspondence,"Part Annotations via Pairwise Correspondence
+Subhransu Maji Gregory Shakhnarovich
+{smaji,
+Toyota Technological Institute at Chicago, Chicago, IL"

+3514140d9c2e692abed0aebe0531f78c250f5806,Discriminative Transformation Learning for Fuzzy Sparse Subspace Clustering,"Discriminative Transformation Learning for Fuzzy
+Sparse Subspace Clustering
+Zaidao Wen, Biao Hou, Member, IEEE, Qian Wu and Licheng Jiao, Senior Member, IEEE"

+352d61eb66b053ae5689bd194840fd5d33f0e9c0,Analysis Dictionary Learning based Classification: Structure for Robustness,"Analysis Dictionary Learning based
+Classification: Structure for Robustness
+Wen Tang, Ashkan Panahi, Hamid Krim, and Liyi Dai"

+3538d2b5f7ab393387ce138611ffa325b6400774,A DSP-based approach for the implementation of face recognition algorithms,"A DSP-BASED APPROACH FOR THE IMPLEMENTATION OF FACE RECOGNITION
+ALGORITHMS
+A. U. Batur
+B. E. Flinchbaugh
+M. H. Hayes IIl
+Center for Signal and Image Proc.
+Georgia Inst. Of Technology
+Atlanta, GA
+Imaging and Audio Lab.
+Texas Instruments
+Dallas, TX
+Center for Signal and Image Proc.
+Georgia Inst. Of Technology
+Atlanta, CA"

+3504907a2e3c81d78e9dfe71c93ac145b1318f9c,Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks,"Noname manuscript No.
+(will be inserted by the editor)
+Unconstrained Still/Video-Based Face Verification with Deep
+Convolutional Neural Networks
+Jun-Cheng Chen∗
+Kumar∗ · Ching-Hui Chen∗ · Vishal M. Patel · Carlos D. Castillo ·
+Rama Chellappa
+· Rajeev Ranjan∗ · Swami Sankaranarayanan∗ · Amit
+Received: date / Accepted: date"

+35692e80fa2fc17a1d37a40b3d4ffca28a1bcc7b,Appearance-based people recognition by local dissimilarity representations,"Appearance-based People Recognition by Local
+Dissimilarity Representations
+Riccardo Satta, Giorgio Fumera, Fabio Roli
+Dept. of Electrical and Electronic Engineering, University of Cagliari
+Piazza d’Armi, 09123 Cagliari, Italy
+riccardo.satta, fumera,"

+35fe83665c61adb513781c7208b92706ae2a1578,Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions,

+35b1c1f2851e9ac4381ef41b4d980f398f1aad68,Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning,"Geometry Guided Convolutional Neural Networks for
+Self-Supervised Video Representation Learning
+Chuang Gan1, Boqing Gong2, Kun Liu3, Hao Su 4, Leonidas J. Guibas 5
+MIT-IBM Watson AI Lab , 2 Tencent AI Lab, 3 BUPT, 4 UCSD, 5 Stanford University"

+359a4142f6a55a58a3e18628e3ee52c76744fcb0,Prevalence of face recognition deficits in middle childhood.,"ISSN: 1747-0218 (Print) 1747-0226 (Online) Journal homepage: http://www.tandfonline.com/loi/pqje20
+Prevalence of face recognition deficits in middle
+hildhood
+Rachel J Bennetts, Ebony Murray, Tian Boyce & Sarah Bate
+To cite this article: Rachel J Bennetts, Ebony Murray, Tian Boyce & Sarah Bate (2016):
+Prevalence of face recognition deficits in middle childhood, The Quarterly Journal of
+Experimental Psychology, DOI: 10.1080/17470218.2016.1167924
+To link to this article:  http://dx.doi.org/10.1080/17470218.2016.1167924
+View supplementary material
+Accepted author version posted online: 21
+Mar 2016.
+Submit your article to this journal
+View related articles
+View Crossmark data
+Full Terms & Conditions of access and use can be found at
+http://www.tandfonline.com/action/journalInformation?journalCode=pqje20
+Download by: [Rachel Bennetts]
+Date: 22 March 2016, At: 07:06"

+35058a8166a8fa4479167ba33b3010cc8c839f44,A Study on Gait-Based Gender Classification,"A Study on Gait-Based Gender Classification
+Shiqi Yu, Member, IEEE, Tieniu Tan, Fellow, IEEE,
+Kaiqi Huang, Member, IEEE, Kui Jia, and Xinyu Wu"

+351c02d4775ae95e04ab1e5dd0c758d2d80c3ddd,ActionSnapping: Motion-Based Video Synchronization,"ActionSnapping: Motion-based Video
+Synchronization
+Jean-Charles Bazin and Alexander Sorkine-Hornung
+Disney Research"

+35c0954acde9c86df8bbcb6edccbcd702796f5eb,"Multimodal Database of Emotional Speech , Video and Gestures","World Academy of Science, Engineering and Technology
+International Journal of Computer and Information Engineering
+Vol:12, No:10, 2018
+Multimodal Database of Emotional Speech, Video
+nd Gestures
+Tomasz Sapi´nski, Dorota Kami´nska, Adam Pelikant, Egils Avots, Cagri Ozcinar, Gholamreza Anbarjafari"

+35e4b6c20756cd6388a3c0012b58acee14ffa604,Gender Classification in Large Databases,"Gender Classification in Large Databases
+E. Ram´on-Balmaseda, J. Lorenzo-Navarro, and M. Castrill´on-Santana (cid:63)
+Universidad de Las Palmas de Gran Canaria
+SIANI
+Spain"

+357df3ee0f0c30d5c8abc5a1bdf70122322d6fbd,Object Detectors Emerge in Deep Scene CNNs,"Under review as a conference paper at ICLR 2015
+OBJECT DETECTORS EMERGE IN DEEP SCENE CNNS
+Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, Antonio Torralba
+Department of Computer Science and Artificial Intelligence, MIT"

+35be5bea87c465c97127c64919d115e235d62e82,"The automatic detection of chronic pain-related expression : requirements , challenges and a multimodal dataset","IEEE TRANSACTIONS ON JOURNAL NAME,  MANUSCRIPT ID
+The automatic detection of chronic pain-
+related expression: requirements, challenges
+nd a multimodal dataset
+Min S. H. Aung, Sebastian Kaltwang, Bernardino Romera-Paredes, Brais Martinez, Aneesha
+Singh, Matteo Cella, Michel Valstar, Hongying Meng, Andrew Kemp, Moshen Shafizadeh, Aaron
+C. Elkins, Natalie Kanakam, Amschel de Rothschild, Nick Tyler, Paul J. Watson, Amanda C. de C.
+Williams, Maja Pantic, and Nadia Bianchi-Berthouze*
+face  videos,  head  mounted  and  room  audio  signals,"

+35f3c4012e802332faf0a1426e9acf8365601551,Bidirectional Conditional Generative Adversarial Networks,"Bidirectional Conditional
+Generative Adversarial Networks
+Ayush Jaiswal, Wael AbdAlmageed, Yue Wu, and Premkumar Natarajan
+USC Information Sciences Institute, Marina del Rey, CA, USA
+{ajaiswal, wamageed, yue wu,"

+355de7460120ddc1150d9ce3756f9848983f7ff4,Midge: Generating Image Descriptions From Computer Vision Detections,"Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 747–756,
+Avignon, France, April 23 - 27 2012. c(cid:13)2012 Association for Computational Linguistics"

+35e808424317cf03b51516df7d083f45791311ae,A Survey for Action Recognition Research,"A Survey for Action Recognition Research
+Yuancheng Ye"

+355c8c0dbd80de9d23affb37ac102179b6b2a908,“A Distorted Skull Lies in the Bottom Center...” Identifying Paintings from Text Descriptions,"Anupam Guha, Mohit Iyyer, and Jordan Boyd-Graber. A Distorted Skull Lies in the Bottom Center:
+Identifying Paintings from Text Descriptions. NAACL Human-Computer Question Answering Workshop, 2016.
+Title = {A Distorted Skull Lies in the Bottom Center: Identifying Paintings from Text Descriptions},
+Author = {Anupam Guha and Mohit Iyyer and Jordan Boyd-Graber},
+Booktitle = {NAACL Human-Computer Question Answering Workshop},
+Year = {2016},
+Location = {San Diego, CA},
+Url = {docs/2016_naacl_paintings.pdf},
+Links:
+• Data [http://www.cs.umd.edu/~aguha/data/paintdata.rar]
+Downloaded from http://cs.colorado.edu/~jbg/docs/2016_naacl_paintings.pdf"

+35035f79256a3f19a111fff34df6d14876d83fab,Satyam: Democratizing Groundtruth for Machine Vision,"SATYAM: DEMOCRATIZING GROUNDTRUTH FOR MACHINE VISION
+Hang Qiu?, Krishna Chintalapudi†, Ramesh Govindan?"

+35457de70ea13415b8abd3898a4a83021946501f,Learning Robust and Discriminative Subspace With Low-Rank Constraints,"Calhoun: The NPS Institutional Archive
+Faculty and Researcher Publications
+Funded by Naval Postgraduate School
+Learning Robust and Discriminative Subspace
+With Low-Rank Constraints
+Sheng Li
+http://hdl.handle.net/10945/52406"

+3506ef7168e07840187ec978b47f3a05a753101d,Robust 3D Face Landmark Localization Based on Local Coordinate Coding,"Robust 3D Face Landmark Localization based on
+Local Coordinate Coding
+Mingli Song, Senior Member, IEEE, Dacheng Tao, Senior Member, IEEE, Shengpeng Sun, Chun Chen, and
+Stephen J. Maybank Fellow, IEEE,"

+3575d74eb548c3187ec5b0d27383ac966b9d7110,Feature Extraction and Face Recognition through Neural Network,"International Journal of Advanced Computer Technology (IJACT)
+ISSN:2319-7900
+Feature Extraction and Face Recognition through Neural
+Network
+Sanjay Kumar Dekate,Research scholar, Dr. C. V. Raman University, Bilaspur, India
+Dr. Anupam Shukla,Professor, ABV-IIITM, Gwalior, India"

+353480b21d5745590db5f70b016a27e25f5b9aec,Cross-Modal and Hierarchical Modeling of Video and Text,"Cross-Modal and Hierarchical Modeling of Video
+nd Text
+Bowen Zhang(cid:63)1, Hexiang Hu(cid:63)1, and Fei Sha2
+Dept. of Computer Science, U. of Southern California, Los Angeles, CA 90089
+Netflix, 5808 Sunset Blvd, Los Angeles, CA 90028"

+35410a58514cd5fd66d9c43d42e8222526170c1b,Shared mechanism for emotion processing in adolescents with and without autism,"Received: 04 August 2016
+Accepted: 05 January 2017
+Published: 20 February 2017
+Shared mechanism for emotion
+processing in adolescents with and
+without autism
+Christina Ioannou1, Marwa El Zein1, Valentin Wyart1, Isabelle Scheid2,3,
+Frédérique Amsellem3,4, Richard Delorme3,4, Coralie Chevallier1,* & Julie Grèzes1,*
+Although, the quest to understand emotional processing in individuals with Autism Spectrum Disorders
+(ASD) has led to an impressive number of studies, the picture that emerges from this research remains
+inconsistent. Some studies find that Typically Developing (TD) individuals outperform those with
+ASD in emotion recognition tasks, others find no such difference. In this paper, we move beyond
+focusing on potential group differences in behaviour to answer what we believe is a more pressing
+question: do individuals with ASD use the same mechanisms to process emotional cues? To this end,
+we rely on model-based analyses of participants’ accuracy during an emotion categorisation task in
+which displays of anger and fear are paired with direct vs. averted gaze. Behavioural data of 20 ASD
+nd 20 TD adolescents revealed that the ASD group displayed lower overall performance. Yet, gaze
+direction had a similar impact on emotion categorisation in both groups, i.e. improved accuracy for
+salient combinations (anger-direct, fear-averted). Critically, computational modelling of participants’
+ehaviour reveals that the same mechanism, i.e. increased perceptual sensitivity, underlies the"

+3596c23a0f13c36d2c71c4cba4351363954dd02a,PathFinder: An autonomous mobile robot guided by Computer Vision,"PathFinder: An autonomous mobile robot guided by Computer
+Vision
+Andre R. de Geus1,2, Marcelo H. Stoppa1, Sergio F. da Silva1,2
+Modeling and Optimization Program, Federal University of Goias, Catalao, Goias, Brazil
+Biotechnology Institute, Federal University of Goias, Catalao, Goias, Brazil
+Email:"

+35f084ddee49072fdb6e0e2e6344ce50c02457ef,A bilinear illumination model for robust face recognition,"A Bilinear Illumination Model
+for Robust Face Recognition
+The Harvard community has made this
+rticle openly available.  Please share  how
+this access benefits you. Your story matters
+Citation
+Lee, Jinho, Baback Moghaddam, Hanspeter Pfister, and Raghu
+Machiraju. 2005. A bilinear illumination model for robust face
+recognition. Proceedings of the Tenth IEEE International Conference
+on Computer Vision: October 17-21, 2005, Beijing, China. 1177-1184.
+Los Almamitos, C.A.: IEEE Computer Society.
+Published Version
+doi:10.1109/ICCV.2005.5
+Citable link
+http://nrs.harvard.edu/urn-3:HUL.InstRepos:4238979
+Terms of Use
+This article was downloaded from Harvard University’s DASH
+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-"

+3533a7714b19396bba8297e0ca22f85ac68ca18a,Dense Captioning with Joint Inference and Visual Context,"Dense Captioning with Joint Inference and Visual Context
+Linjie Yang
+Kevin Tang
+Jianchao Yang
+Li-Jia Li
+{linjie.yang, kevin.tang,
+Snap Inc."

+35e730f7967155b9394f9e5d3cadf2b955ce9a7b,Deep Affinity Network for Multiple Object Tracking,"JOURNAL OF LATEX CLASS FILES, VOL. 13, NO. 9, SEPTEMBER 2017
+Deep Affinity Network
+for Multiple Object Tracking
+ShiJie Sun, Naveed Akhtar, HuanSheng Song, Ajmal Mian, Mubarak Shah"

+3521904cced380b849325d6fda2a4d855edbe405,Finding Images of Rare and Ambiguous Entities,"Finding Images of Rare and
+Ambiguous Entities
+Bilyana Taneva
+Mouna Kacimi
+Gerhard Weikum
+MPI–I–2011–5–002
+May 2011"

+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"

+35d94887e4eb075f2603b2c69b19d31471351ff7,People detection and tracking from aerial thermal views,

+3555d849b85e9416e9496c9976084b0e692b63cd,Towards Effective Gans,"Under review as a conference paper at ICLR 2018
+TOWARDS EFFECTIVE GANS
+FOR DATA DISTRIBUTIONS WITH DIVERSE MODES
+Anonymous authors
+Paper under double-blind review"

+3597ca03bded3717f5c88273e4b7dbf24545ff83,Mouse Pose Estimation From Depth Images,"Mouse Pose Estimation From Depth Images
+Ashwin Nanjappa1, Li Cheng∗1, Wei Gao1, Chi Xu1, Adam Claridge-Chang2, and
+Zoe Bichler3
+Bioinformatics Institute, A*STAR, Singapore
+Institute of Molecular and Cell Biology, A*STAR, Singapore
+National Neuroscience Institute, Singapore"

+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
+dvertising or promotional purposes, creating new collective works, for resale or redistribu-
+tion to servers or lists, or reuse of any copyrighted.
+A. Tejero-de-Pablos, Y. Nakashima, T. Sato, N. Yokoya, M. Linna and E. Rahtu, ”Sum-
+marization of User-Generated Sports Video by Using Deep Action Recognition Features,” in
+doi: 10.1109/TMM.2018.2794265
+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"

+35800a537017803dd08274710388734db66b54f0,Sliced Wasserstein Generative Models,"Sliced Wasserstein Generative Models
+Jiqing Wu * 1 Zhiwu Huang * 1 Wen Li 1 Janine Thoma 1 Luc Van Gool 1 2"

+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"

+354ddc8976a762ee03fb78b73adc3b5312e5f2a5,Accurate Eye Center Location through Invariant Isocentric Patterns,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.
+Accurate Eye Center Location through Invariant
+Isocentric Patterns
+Roberto Valenti, Student Member, IEEE, and Theo Gevers, Member, IEEE,"

+351de1f7862bd13a82fcfcaa698b4efd53bc2c35,Automatic 3D face verification from range data,- 1930-7803-7663-3/03/$17.00 ©2003 IEEEICASSP 2003(cid:224)

+35b9ded80ce2b30ee115b8198d146890b9028d51,Regularizing max-margin exemplars by reconstruction and generative models,"Regularizing Max-Margin Exemplars by Reconstruction and Generative Models
+Jose C. Rubio and Bj¨orn Ommer
+Heidelberg Collaboratory for Image Processing
+IWR, Heidelberg University, Germany"

+694dda2a9f6d86c4bf3f57d85dfd376e2067ec62,How Much Face Information Is Needed?,"HOW MUCH FACE INFORMATION IS NEEDED?
+P2CA:
+Davide Onofrio*, Antonio Rama+, Francesc Tarres+, Stefano Tubaro*
+*Dipartimento di Elettronica e Informazione - Politecnico di Milano
++Department Teoria del Senyal i Comunicacions de la Universitat Politècnica de Catalunya"

+69c8b0ec77d3164df2069a5133780a36ec8e91ad,Unsupervised 3D Reconstruction from a Single Image via Adversarial Learning,"Unsupervised 3D Reconstruction from a Single Image via Adversarial Learning
+Lingjing Wang
+NYU Multimedia and Visual Computing Lab
+Courant Institute of Mathematical Science
+NYU Tandon School of Engineering, USA
+Yi Fang ∗
+NYU Multimedia and Visual Computing Lab
+Dept. of ECE, NYU Abu Dhabi, UAE
+Dept. of ECE, NYU Tandon School of Engineering, USA"

+693905c29feb7f9be3517308c8a9c2dc68aa8682,Self-supervised CNN for Unconstrained 3D Facial Performance Capture from an RGB-D Camera,"Self-supervised CNN for Unconstrained 3D Facial
+Performance Capture from an RGB-D Camera
+Yudong Guo, Juyong Zhang†, Lin Cai, Jianfei Cai and Jianmin Zheng"

+699a7c88a6d226f59c7a5619b3cfad714415c31a,"Incorporating Luminance, Depth and Color Information by Fusion-based Networks for Semantic Segmentation","Incorporating Luminance, Depth and Color Information by
+Fusion-based Networks for Semantic Segmentation
+Shao-Yuan Lo
+Shang-Wei Hung
+National Chiao Ting University, UC San Diego
+National Chiao Ting University
+Figure 1: Flowchart of the proposed semantic segmentation
+system. Y: luminance information.
+omplexity. Lately, DenseNet [11] designs the invention of
+dding  dense  connections  between  each  layer,  which
+enhances  the  information  flow  in  networks,  and  thus  it
+previously
+outperforms  many
+network
+rchitectures including ResNet [12].
+proposed
+With  the  help  of  depth  sensors  such  as  Kinect,  depth
+maps can be obtained along with RGB images. Since the
+depth channel provides complementary information to the
+RGB channels, containing the depth information is believed"

+6911686f00c99c51c21f057c45d561c88027f676,Articulated pose estimation with parts connectivity using discriminative local oriented contours,"Articulated Pose Estimation with Parts Connectivity
+using Discriminative Local Oriented Contours
+Norimichi Ukita
+Nara Institute of Science and Technology"

+6937fe93e6238ee21904c172809bea0086da4570,Contour Grouping Based on Contour-Skeleton Duality,"Int J Comput Vis (2009) 83: 12–29
+DOI 10.1007/s11263-009-0208-2
+Contour Grouping Based on Contour-Skeleton Duality
+Nagesh Adluru · Longin Jan Latecki
+Received: 30 May 2008 / Accepted: 6 January 2009 / Published online: 27 January 2009
+© Springer Science+Business Media, LLC 2009"

+6903496ee5d4c24ca5f3f18211f406e0ba8442d6,Multi-Mapping Image-to-Image Translation with Central Biasing Normalization,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2018
+Multi-Mapping Image-to-Image Translation with
+Central Biasing Normalization
+Xiaoming Yu, Zhenqiang Ying, Student Member, IEEE, Thomas Li, Shan Liu, and Ge Li, Member, IEEE,"

+69ff40fd5ce7c3e6db95a2b63d763edd8db3a102,Human Age Estimation via Geometric and Textural Features,"HUMAN AGE ESTIMATION VIA GEOMETRIC AND TEXTURAL
+FEATURES
+Merve KILINC1 and Yusuf Sinan AKGUL2
+TUBITAK BILGEM UEKAE, Anibal Street, 41470, Gebze, Kocaeli, Turkey
+GIT Vision Lab, http://vision.gyte.edu.tr/, Department of Computer Engineering, Gebze Institute of Technology, 41400,
+Kocaeli, Turkey
+Keywords:
+Age estimation:age classification:geometric features:LBP:Gabor:LGBP:cross ratio:FGNET:MORPH"

+6900bb437679dd0b0c5cea0acdaa9429d0127d38,Self-Erasing Network for Integral Object Attention,"Self-Erasing Network for Integral Object Attention
+Qibin Hou
+Peng-Tao Jiang
+Colledge of Computer Science, Nankai University
+Yunchao Wei
+Urbana-Champaign, IL, USA
+Colledge of Computer Science, Nankai University
+Ming-Ming Cheng ∗"

+69447482c6d7d0fde4001231ca84c31f866a2d5d,Survey of Advanced Facial Feature Tracking and Facial Expression Recognition,"ISSN (Print)    : 2319-5940
+ISSN (Online) : 2278-1021
+International Journal of Advanced Research in Computer and Communication Engineering
+Vol. 2, Issue 10, October 2013
+Survey of Advanced Facial Feature Tracking and
+Facial Expression Recognition
+Karthick.K1, J.Jasmine2
+PG Scholar, Department of Computer science and Technology, Kalaignar Karunanidhi Institute of Technology,
+Coimbatore, Tamilnadu, India1
+Assistant Professor, Department of Computer science and Technology, Kalaignar Karunanidhi Institute of Technology,
+Coimbatore, Tamilnadu, India2"

+6957baa0db5576997aef9de43b93fe8fd4d07632,Identifica\c{c}\~ao autom\'atica de picha\c{c}\~ao a partir de imagens urbanas,"Identificac¸˜ao autom´atica de pichac¸˜ao a partir de
+imagens urbanas
+Eric K. Tokuda and Roberto M. Cesar-Jr.
+Institute of Mathematics and Statistics
+University of S˜ao Paulo (USP)
+Brazil
+Claudio Silva
+Tandon School of Engineering
+New York University (NYU)"

+69a55c30c085ad1b72dd2789b3f699b2f4d3169f,Automatic Happiness Strength Analysis of a Group of People using Facial Expressions,"International Journal of Computer Trends and Technology (IJCTT) – Volume 34 Number 3 - April 2016
+Automatic Happiness Strength Analysis of a
+Group of People using Facial Expressions
+Sagiri Prasanthi#1, Maddali M.V.M. Kumar*2,
+#1PG Student, #2Assistant Professor
+#1, #2Department of MCA, St. Ann’s College of Engineering & Technology, Andhra Pradesh, India
+is  a  collective  concern"

+695e4c975740d2aedcfc42d7ec445b4b2b56cbeb,Principal Component Analysis: An Efficient Facial Feature Extraction Technique,"SSRG International Journal of Electronics and Communication Engineering - (ICRTESTM) - Special Issue – April 2017
+Principal Component Analysis: An Efficient
+Facial Feature Extraction Technique
+Research scholar, ECE Dept, JJTU, Rajasthan, India, 333001(Associate Professor, SVIT, Secunderabad-500
+Drakshayani Desai, 2Dr. Ramakrishna Seemakurti.
+Research Guide (Pricipal,, SVIT, Secunderabd, India, 500003) (Approved Research Guide, JJTU, Jhunjhunu-
+33001, Rajasthan, India)"

+69aef3ce50967a00c568849fed630c573f6cd1eb,3-D Face Analysis and Identification Based on Statistical Shape Modelling,"-D Face Analysis and Identification Based on Statistical Shape
+Modelling
+Wei Quan*, Charlie Frowd †
+*School of Computing, Engineering and Physical Sciences
+University of Central Lancashire, Preston PR1 2HE, UK.
+Department of Psychology
+University of Winchester, Winchester SO22 4NR, UK.
+Keywords: shape modelling, face analysis, identification."

+69d9b79757d76b73ed940754f4d05288b76eb8c3,Preschool Externalizing Behavior Predicts Gender-Specific Variation in Adolescent Neural Structure,"RESEARCH ARTICLE
+Preschool Externalizing Behavior Predicts
+Gender-Specific Variation in Adolescent
+Neural Structure
+Jessica Z. K. Caldwell1*¤, Jeffrey M. Armstrong2, Jamie L. Hanson1, Matthew J. Sutterer1,
+Diane E. Stodola1, Michael Koenigs2, Ned H. Kalin2, Marilyn J. Essex2☯, Richard
+J. Davidson1,2,3☯
+Department of Psychology, University of Wisconsin–Madison, Madison, Wisconsin, United States of
+America, 2 Department of Psychiatry, University of Wisconsin–Madison, Madison, Wisconsin, United States
+of America, 3 Center for Investigating Healthy Minds, University of Wisconsin–Madison, Madison,
+Wisconsin, United States of America
+☯ These authors contributed equally to this work.
+¤. Current address: Marquette General Hospital/Michigan State University, Marquette, MI, United States of
+America"

+6953911c6756ca70de1555df14a06f13305e1926,Author Profiling based on Text and Images: Notebook for PAN at CLEF 2018,"Author Profiling based on Text and Images
+Notebook for PAN at CLEF 2018
+Luka Stout, Robert Musters, and Chris Pool
+Anchormen, The Netherlands"

+69526cdf6abbfc4bcd39616acde544568326d856,Face Verification Using Template Matching,"[17] B. Moghaddam, T. Jebara, and A. Pentland, “Bayesian face recogni-
+tion,” Pattern Recognit., vol. 33, no. 11, pp. 1771–1782, Nov. 2000.
+[18] A. Nefian, “A hidden Markov model-based approach for face detection
+nd recognition,” Ph.D. dissertation, Dept. Elect. Comput. Eng. Elect.
+Eng., Georgia Inst. Technol., Atlanta, 1999.
+[19] P. J. Phillips et al., “Overview of the face recognition grand challenge,”
+presented at the IEEE CVPR, San Diego, CA, Jun. 2005.
+[20] H. T. Tanaka, M. Ikeda, and H. Chiaki, “Curvature-based face surface
+recognition using spherical correlation-principal direction for curved
+object recognition,” in Proc. Int. Conf. Automatic Face and Gesture
+Recognition, 1998, pp. 372–377.
+[21] M. Turk and A. Pentland, “Eigenfaces for recognition,” J. Cognit. Sci.,
+pp. 71–86, 1991.
+[22] V. N. Vapnik, Statistical Learning Theory. New York: Wiley, 1998.
+[23] W. Zhao, R. Chellappa, A. Rosenfeld, and P. Phillips, “Face recogni-
+tion: A literature survey,” ACM Comput. Surveys, vol. 35, no. 44, pp.
+99–458, 2003.
+[24] W. Zhao, R. Chellappa, and P. J. Phillips, “Subspace linear discrimi-
+nant analysis for face recognition,” UMD TR4009, 1999.
+Face Verification Using Template Matching"

+6971bdac5119c4cc1b6d92adac605e13f1bcd80f,Limiting the reconstruction capability of generative neural network using negative learning,"LIMITING THE RECONSTRUCTION CAPABILITY OF GENERATIVE NEURAL NETWORK
+USING NEGATIVE LEARNING
+Asim Munawar, Phongtharin Vinayavekhin and Giovanni De Magistris
+IBM Research - Tokyo"

+69dc87575b56ba7f60fa24bdd4fceabeeaf39a80,Decoding of nonverbal language in alcoholism: A perception or a labeling problem?,"tapraid5/ze6-adb/ze6-adb/ze600216/ze62965d15z
+xppws S⫽1
+/8/16
+6:36 Art: 2015-0668
+APA NLM
+Psychology of Addictive Behaviors
+016, Vol. 30, No. 2, 175–183
+0893-164X/16/$12.00
+© 2016 American Psychological Association
+http://dx.doi.org/10.1037/adb0000147
+Decoding of Nonverbal Language in Alcoholism:
+A Perception or a Labeling Problem?
+Université Libre de Bruxelles and Centre Hospitalier
+Charles Kornreich
+Universitaire Brugmann
+Géraldine Petit and Heidi Rolin
+Université Libre de Bruxelles
+Elsa Ermer
+University of Maryland Baltimore
+Salvatore Campanella and Paul Verbanck"

+69ee78388e0f40941496ab92efe3e0fa065ad22e,Person Re-Identification with RGB-D Camera in Top-View Configuration through Multiple Nearest Neighbor Classifiers and Neighborhood Component Features Selection,"Article
+Person Re-Identification with RGB-D Camera in
+Top-View Configuration through Multiple Nearest
+Neighbor Classifiers and Neighborhood Component
+Features Selection
+Marina Paolanti *
+Emanuele Frontoni
+, Luca Romeo, Daniele Liciotti
+, Rocco Pietrini, Annalisa Cenci,
+nd Primo Zingaretti
+Department of Information Engineering, Universitá Politecnica delle Marche, I-60131 Ancona, Italy;
+(L.R.); (D.L.); (R.P.);
+(A.C.); (E.F.); (P.Z.)
+* Correspondence:
+Received: 30 August 2018 ; Accepted: 11 October 2018 ; Published: 15 October 2018"

+690d669115ad6fabd53e0562de95e35f1078dfbb,"Progressive versus Random Projections for Compressive Capture of Images, Lightfields and Higher Dimensional Visual Signals","Progressive versus Random Projections for Compressive Capture of Images,
+Lightfields and Higher Dimensional Visual Signals
+Rohit Pandharkar
+MIT Media Lab
+75 Amherst St, Cambridge, MA
+Ashok Veeraraghavan
+01 Broadway, Cambridge MA
+Ramesh Raskar
+MIT Media Lab
+75 Amherst St, Cambridge, MA"

+695f6dc7165aa3fca15d1b1deb4c496fc093ac19,Learning Discriminative Visual N-grams from Mid-level Image Features,"GUPTA, PANDEY, CHIA: VISUAL N-GRAMS
+Learning Discriminative Visual N-grams
+from Mid-level Image Features
+Raj Kumar Gupta
+Megha Pandey
+Alex YS Chia
+Institute of High Performance
+Computing (A*STAR)
+Singapore
+Institute of Infocomm Research
+(A*STAR)
+Singapore
+Rakuten Institute of Technology
+Singapore"

+698812f7d37e148c0a99e768f0a7d24e7b9605ab,Image Classification and Retrieval from User-Supplied Tags,"Image Classification and Retrieval from User-Supplied Tags
+Hamid Izadinia
+Univ. of Washington
+Ali Farhadi
+Univ. of Washington
+Aaron Hertzmann
+Adobe Research
+Matthew D. Hoffman
+Adobe Research"

+699b6cbd72ee0274699b939863813499c377ea00,Enlightening Deep Neural Networks with Knowledge of Confounding Factors,"Enlightening Deep Neural Networks
+with Knowledge of Confounding Factors
+Yu Zhong
+Gil Ettinger
+{yu.zhong,
+Systems & Technology Research"

+69d1b055807ef35a8f9490775348cce899421841,An Improved ABC Algorithm Approach Using SURF for Face Identification,"An Improved ABC Algorithm Approach Using
+SURF for Face Identification
+Chidambaram Chidambaram1,2, Marlon Subtil Mar¸cal2, Leyza Baldo Dorini2,
+Hugo Vieira Neto2, and Heitor Silv´erio Lopes2
+State University of Santa Catarina-UDESC, Brazil
+Federal University of Technology - Paran´a - UTFPR, Brazil
+http://www.sbs.udesc.br
+http://www.utfpr.edu.br"

+6960bfc668aad1b537fbf3f1b48328e7d440b80b,Fully Automatic Recognition of the Temporal Phases of Facial Actions,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 42, NO. 1, FEBRUARY 2012
+Fully Automatic Recognition of the
+Temporal Phases of Facial Actions
+Michel F. Valstar, Member, IEEE, and Maja Pantic, Senior Member, IEEE"

+69063f7e0a60ad6ce16a877bc8f11b59e5f7348e,Class-Specific Image Deblurring,"Class-Specific Image Deblurring
+Saeed Anwar1, Cong Phuoc Huynh1
+, Fatih Porikli1
+The Australian National University∗ Canberra ACT 2601, Australia
+NICTA, Locked Bag 8001, Canberra ACT 2601, Australia"

+691eb8eb9f5d5fbf5d76349098b78e5d6fc25ccc,Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints,"Deep Learning of Part-based Representation of Data
+Using Sparse Autoencoders with Nonnegativity
+Constraints
+Ehsan Hosseini-Asl, Member, IEEE, Jacek M. Zurada, Life Fellow, IEEE, Olfa Nasraoui, Senior Member, IEEE"

+69f27ca2f1280587004c8fae6b3b0021305e52eb,Title of dissertation : Scene and Video Understanding,

+695b040a9550a46b5ffe31e4a6abbadfac02c1ad,Face recognition with illumination distinction description,"1st International Conference on Pattern Recognition (ICPR 2012)
+November 11-15, 2012. Tsukuba, Japan
+978-4-9906441-1-6 ©2012 IAPR"

+69f49bae5b1c15adc644b47e6c3b6c3f7aa84171,Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers,"Variational Bayesian Inference for Audio-Visual
+Tracking of Multiple Speakers
+Yutong Ban, Xavier Alameda-Pineda, Laurent Girin and Radu Horaud"

+692aecba13add2b8c1d82db303f5b2ec743ceb44,FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces,"FaceForensics: A Large-scale Video Dataset for Forgery
+Detection in Human Faces
+Andreas R¨ossler1 Davide Cozzolino2 Luisa Verdoliva2 Christian Riess3
+Justus Thies1
+Matthias Nießner1
+Technical University of Munich
+University Federico II of Naples
+University of Erlangen-Nuremberg"

+6997039127d9b262d4a9aa9467c4f4fa3d596085,Classification of Vehicle Types in Car Parks using Computer Vision Techniques,"Classification of Vehicle Types in Car Parks using
+Computer Vision Techniques
+Chadly Marouane
+Research & Development
+VIRALITY GmbH
+Rauchstraße 7
+81679 Munich, Germany
+Lorenz Schauer
+Ludwig-Maximilians-
+Universität
+München
+Philipp Bauer
+Ludwig-Maximilians-
+Universität
+München
+Oettingenstraße 67
+80538 München, Germany
+Oettingenstraße 67
+80538 München, Germany"

+6946acb595095407871992da62298254658f8d84,An Efficient Method for Face Recognition System In Various Assorted Conditions,"An Efficient Method for Face Recognition System
+In Various Assorted Conditions
+V.Karthikeyan
+K.Vijayalakshmi
+P.Jeyakumar
+finding"

+69a605b2ef38c59e0c8da284d6f27d33e3573620,Automated Multi - Modal Search and Rescue Using Boosted Histogram of Oriented Gradients,"AUTOMATED MULTI-MODAL SEARCH AND RESCUE USING BOOSTED
+HISTOGRAM OF ORIENTED GRADIENTS
+A Thesis
+presented to
+the Faculty of California Polytechnic State University,
+San Luis Obispo
+In Partial Fulfillment
+of the Requirements for the Degree
+Master of Science in Electrical Engineering
+Matthew Lienemann
+December 2015"

+3c3eb65a936296d6ae5058b564f6d0e0c07772cf,A metric for sets of trajectories that is practical and mathematically consistent,"A metric for sets of trajectories that is
+practical and mathematically consistent
+Jos´e Bento
+Jia Jie Zhu"

+3cb2841302af1fb9656f144abc79d4f3d0b27380,When 3 D-Aided 2 D Face Recognition Meets Deep Learning : An extended UR 2 D for Pose-Invariant Face Recognition,"See	discussions,	stats,	and	author	profiles	for	this	publication	at:	https://www.researchgate.net/publication/319928941
+When	3D-Aided	2D	Face	Recognition	Meets	Deep
+Learning:	An	extended	UR2D	for	Pose-Invariant
+Face	Recognition
+Article	·	September	2017
+CITATIONS
+authors:
+READS
+Xiang	Xu
+University	of	Houston
+Pengfei	Dou
+University	of	Houston
+8	PUBLICATIONS			10	CITATIONS
+9	PUBLICATIONS			29	CITATIONS
+SEE	PROFILE
+SEE	PROFILE
+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"

+3cec488a0910b69f50811cebe8c655dca22078d5,Evidence Extraction for Machine Reading Comprehension with Deep Probabilistic Logic,"Confidential TACL submission. DO NOT DISTRIBUTE.
+Evidence Extraction for Machine Reading Comprehension
+with Deep Probabilistic Logic
+Anonymous TACL submission"

+3c1c8e171450a9b279df939d4c9209d8dbf6b2fe,Large scale mining and retrieval of visual data in a multimodal context,"Diss. ETH No. 18190
+Large-Scale Mining and Retrieval of Visual Data in
+Multimodal Context
+A dissertation submitted to the
+SWISS FEDERAL INSTITUTE OF TECHNOLOGY ZURICH
+for the degree of
+Doctor of Technical Sciences
+presented by
+Till Quack
+MSc. ETH Zuerich
+orn 15. September 1978
+itizen of Germany
+ccepted on the recommendation of
+Prof. Dr. Luc Van Gool, examiner
+Prof. Dr. Andrew Zisserman, co-examiner
+September 2008"

+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
+Department of Electrical Engineering, Universidad de Chile
+Advanced Mining Technology Center, Universidad de Chile"

+3caebf3075e52483c7a7179b3491882af0aaaa37,Lateralization of Cognitive Functions: The Visual Half-Field Task Revisited,"Lateralization of Cognitive Functions: The Visual Half-Field
+Task Revisited
+Ark Verma
+Promotor: Prof. Dr. Marc Brysbaert
+Proefschrift ingediend tot het behalen van de academische graad
+van Doctor in de Psychologie"

+3ca983d40b9de7dc12b989fce213b4abee652c9e,Will the Pedestrian Cross? A Study on Pedestrian Path Prediction,"Will the Pedestrian Cross?
+A Study on Pedestrian Path Prediction
+Christoph G. Keller and Dariu M. Gavrila"

+3caf02979d7cd83d2f3894574c86babf3e201bf3,Seeing to hear? Patterns of gaze to speaking faces in children with autism spectrum disorders,"ORIGINAL RESEARCH ARTICLE
+published: 08 May 2014
+doi: 10.3389/fpsyg.2014.00397
+Seeing to hear? Patterns of gaze to speaking faces in
+hildren with autism spectrum disorders
+Julia R. Irwin1,2* and Lawrence Brancazio1,2
+Haskins Laboratories, New Haven, CT, USA
+Department of Psychology, Southern Connecticut State University, New Haven, CT, USA
+Edited by:
+Jean-Luc Schwartz, National Centre
+for Scientific Research, France
+Reviewed by:
+Satu Saalasti, Brain and Mind
+Laboratory, Aalto University School of
+Science, Finland
+David House, Royal Institute of
+Technology, Sweden
+*Correspondence:
+Julia R. Irwin, Haskins Laboratories,
+00 George Street, New Haven,"

+3cd7b15f5647e650db66fbe2ce1852e00c05b2e4,"ACTIVE, an Extensible Cataloging Platform for Automatic Indexing of Audiovisual Content",

+3ceef6572b00bef961c0246a220edcc48553ed2d,Descriptor Learning for Omnidirectional Image Matching,"Descriptor learning for omnidirectional image matching
+Jonathan Masci1,2,3
+Davide Migliore1,4
+Michael M. Bronstein2
+J¨urgen Schmidhuber1,2,3
+Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA), Manno, Switzerland
+Faculty of Informatics, Universit`a della Svizzera Italiana (USI), Lugano, Switzerland
+Scuola Universitaria Professionale della Svizzera Italiana (SUPSI), Lugano, Switzerland
+Evidence Srl, Pisa, Italy"

+3c70360a4ba30b860d337308633842acbb908ee4,Multi-aspect object detection with Boosted Hough Forest,"REDONDO-CABRERA ET AL.: OBJECT DETECTION WITH BOOSTED HOUGH FOREST
+Because better detections are still possible:
+Multi-aspect Object Detection with Boosted
+Hough Forest
+Carolina Redondo-Cabrera
+Roberto López-Sastre
+University of Alcalá
+Alcalá de Henares, ES"

+3c5f390f99272c59fcf822ab78c90ee6bfa7926a,iCub : Learning Emotion Expressions using Human Reward,"iCub: Learning Emotion Expressions using Human Reward
+Nikhil Churamani, Francisco Cruz, Sascha Griffiths and Pablo Barros"

+3c77e4ce48d1bbcdb682cdc790806e2d5f2d2e1a,Recognition of Genuine Smiles,"Recognition of Genuine Smiles
+Hamdi Dibeklioğlu, Member, IEEE, Albert Ali Salah, Member, IEEE, and Theo Gevers, Member, IEEE"

+3ca4ce8ab704b44701bf7ef8dda01c8dbb226fac,On-the-fly hand detection training with application in egocentric action recognition,"On-the-Fly Hand Detection Training with Application in Egocentric Action
+Recognition
+Jayant Kumar∗, Qun Li∗, Survi Kyal, Edgar A. Bernal, and Raja Bala
+{Jayant.Kumar, Qun.Li, Survi.Kyal, Edgar.Bernal,
+PARC, A Xerox Company
+800 Phillips Road, Webster, NY 14580"

+3c917f071bfc1244c75fca3ceed0a8c46bb975cc,Reduced acetylcholinesterase activity in the fusiform gyrus in adults with autism spectrum disorders.,"ORIGINAL ARTICLE
+Reduced Acetylcholinesterase Activity
+in the Fusiform Gyrus in Adults With Autism
+Spectrum Disorders
+Katsuaki Suzuki, MD, PhD; Genichi Sugihara, MD, PhD; Yasuomi Ouchi, MD, PhD; Kazuhiko Nakamura, MD, PhD;
+Masatsugu Tsujii, MA; Masami Futatsubashi, BS; Yasuhide Iwata, MD, PhD; Kenji J. Tsuchiya, MD, PhD;
+Kaori Matsumoto, MA; Kiyokazu Takebayashi, MD, PhD; Tomoyasu Wakuda, MD, PhD; Yujiro Yoshihara, MD, PhD;
+Shiro Suda, MD, PhD; Mitsuru Kikuchi, MD, PhD; Nori Takei, MD, PhD, MSc; Toshirou Sugiyama, MD, PhD;
+Toshiaki Irie, PhD; Norio Mori, MD, PhD
+Context: Both neuropsychological and functional mag-
+netic resonance imaging studies have shown deficien-
+ies in face perception in subjects with autism spectrum
+disorders (ASD). The fusiform gyrus has been regarded
+s the key structure in face perception. The cholinergic
+system is known to regulate the function of the visual
+pathway, including the fusiform gyrus.
+Objectives: To determine whether central acetylcho-
+linesterase activity, a marker for the cholinergic system,
+is altered in ASD and whether the alteration in acetyl-
+holinesterase activity, if any, is correlated with their so-"

+3c9ad25e91cace6ac93069480745d4578b7f29f5,Automatic Article Commenting: the Task and Dataset,"Automatic Article Commenting: the Task and Dataset
+Lianhui Qin1∗, Lemao Liu2, Victoria Bi2, Yan Wang2,
+Xiaojiang Liu2, Zhiting Hu, Hai Zhao1, Shuming Shi2
+Department of Computer Science and Engineering, Shanghai Jiao Tong University1, Tencent AI Lab2,"

+3ce8a74b47f81ec66046f2486afa1a89e3165dfd,LSH banding for large-scale retrieval with memory and recall constraints,"978-1-4244-2354-5/09/$25.00 ©2009 IEEE
+ICASSP 2009"

+3cb8128b41b419a1fdc7a95bf8e65a37aff79676,Shifting the Baseline: Single Modality Performance on Visual Navigation&QA,"Single Modality Performance on Visual Navigation & QA
+Shifting the Baseline:
+Jesse Thomason
+Yonatan Bisk
+Paul G. Allen School of Computer Science and Engineering
+Daniel Gordan"

+3c2819dae899559f1c61b3b34aeb5d41a6398440,A Stable and Invariant Three-polar Surface Representation: Application to 3D Face Description,"A Stable and Invariant Three-polar Surface Representation:
+Application to 3D Face Description
+Majdi Jribi
+Faouzi Ghorbel
+CRISTAL Laboratory,
+GRIFT research group
+ENSI,La Manouba
+University
+010, La manouba,
+Tunisia
+CRISTAL Laboratory,
+GRIFT research group
+ENSI,La Manouba
+University
+010, La manouba,
+Tunisia"

+3c793fa4d7f673f1e9f6799729ec266ce573ec60,Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification,"Margin Sample Mining Loss: A Deep Learning Based Method for Person
+Re-identification
+Qiqi Xiao , Hao Luo , Chi Zhang"

+3c374cb8e730b64dacb9fbf6eb67f5987c7de3c8,Measuring Gaze Orientation for Human-Robot Interaction,"Measuring Gaze Orientation for Human-Robot
+Interaction
+R. Brochard∗, B. Burger∗, A. Herbulot∗†, F. Lerasle∗†
+CNRS; LAAS; 7 avenue du Colonel Roche, 31077 Toulouse Cedex, France
+Universit´e de Toulouse; UPS; LAAS-CNRS : F-31077 Toulouse, France
+Introduction
+In the context of Human-Robot interaction estimating gaze orientation brings
+useful information about human focus of attention. This is a contextual infor-
+mation : when you point something you usually look at it. Estimating gaze
+orientation requires head pose estimation. There are several techniques to esti-
+mate head pose from images, they are mainly based on training [3, 4] or on local
+face features tracking [6]. The approach described here is based on local face
+features tracking in image space using online learning, it is a mixed approach
+since we track face features using some learning at feature level. It uses SURF
+features [2] to guide detection and tracking. Such key features can be matched
+etween images, used for object detection or object tracking [10]. Several ap-
+proaches work on fixed size images like training techniques which mainly work
+on low resolution images because of computation costs whereas approaches based
+on local features tracking work on high resolution images. Tracking face features
+such as eyes, nose and mouth is a common problem in many applications such as"

+3c0bbfe664fb083644301c67c04a7f1331d9515f,The Role of Color and Contrast in Facial Age Estimation,"The Role of Color and Contrast in Facial Age Estimation
+Paper ID: 7
+No Institute Given"

+3c4f6d24b55b1fd3c5b85c70308d544faef3f69a,A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics,"A Hybrid Deep Learning Architecture for
+Privacy-Preserving Mobile Analytics
+Seyed Ali Ossia(cid:63), Ali Shahin Shamsabadi(cid:63), Ali Taheri(cid:63), Hamid R. Rabiee(cid:63),
+Nic Lane‡, Hamed Haddadi†
+(cid:63)Sharif University of Technology, ‡University College London, †Queen Mary University of London"

+3cb0ef5aabc7eb4dd8d32a129cb12b3081ef264f,Absolute Head Pose Estimation From Overhead Wide-Angle Cameras,"Absolute Head Pose Estimation From Overhead Wide-Angle Cameras
+Ying-Li Tian, Lisa Brown, Jonathan Connell,
+Sharat Pankanti, Arun Hampapur, Andrew Senior, Ruud Bolle
+IBM T.J. Watson Research Center
+9 Skyline Drive, Hawthorne, NY 10532 USA
+{ yltian,lisabr,jconnell,sharat,arunh,aws,bolle"

+3cc0d9c1f690addd2c82e60f2a460e3c557ff242,Sort Story: Sorting Jumbled Images and Captions into Stories,"Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 925–931,
+Austin, Texas, November 1-5, 2016. c(cid:13)2016 Association for Computational Linguistics"

+3c0420a0dd90d0900613ac1f1a1174b626df26d9,Learning Discriminative Chamfer Regularization,"YARLAGADDA ∗, EIGENSTETTER ∗, OMMER: CHAMFER REGULARIZATION
+Learning Discriminative Chamfer
+Regularization
+Pradeep Yarlagadda ∗
+Angela Eigenstetter ∗
+Björn Ommer
+Interdisciplinary Center for Scientific
+Computing (IWR)
+University of Heidelberg
+Germany"

+3c68763caa67dee55bca76f0f71dd4530f3fd57c,Ranking to Learn and Learning to Rank: On the Role of Ranking in Pattern Recognition Applications,"Ranking to Learn and Learning to Rank:
+On the Role of Ranking in Pattern Recognition Applications
+Giorgio Roffo
+Submitted to the Department of Computer Science
+in partial fulfillment of the requirements for the degree of
+European Doctor of Philosophy
+S.S.D. ING-INF05
+Cycle XXIX/2014
+t the
+Universit`a degli Studi di Verona
+May 2017
+(cid:13) Universit`a degli Studi di Verona 2017. All rights reserved.
+Author . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
+Department of Computer Science
+May 25, 2017
+Certified by . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
+Prof. Marco Cristani
+Associate Professor
+Thesis Tutor
+Accepted by . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ."

+3c49dafc82ee24e70e338b896868cd9f82f0edd7,Biologically Motivated 3 D Face Recognition,"BIOLOGICALLY MOTIVATED 3D FACE RECOGNITION
+Albert Ali Salah
+B.S, in Computer Engineering, Bo˘gazi¸ci University, 1998
+M.S, in Computer Engineering, Bo˘gazi¸ci University, 2000
+Submitted to the Institute for Graduate Studies in
+Science and Engineering in partial fulfillment of
+the requirements for the degree of
+Doctor of Philosophy
+Graduate Program in
+Bo˘gazi¸ci University"

+3c56acaa819f4e2263638b67cea1ec37a226691d,Body Joint Guided 3-D Deep Convolutional Descriptors for Action Recognition,"Body Joint guided 3D Deep Convolutional
+Descriptors for Action Recognition
+Congqi Cao, Yifan Zhang, Member, IEEE, Chunjie Zhang, Member, IEEE, and Hanqing Lu, Senior Member, IEEE"

+3c8da376576938160cbed956ece838682fa50e9f,Aiding face recognition with social context association rule based re-ranking,"Chapter 4
+Aiding Face Recognition with
+Social Context Association Rule
+ased Re-Ranking
+Humans are very ef‌f‌icient at recognizing familiar face images even in challenging condi-
+tions. One reason for such capabilities is the ability to understand social context between
+individuals. Sometimes the identity of the person in a photo can be inferred based on the
+identity of other persons in the same photo, when some social context between them is
+known. This chapter presents an algorithm to utilize the co-occurrence of individuals as
+the social context to improve face recognition. Association rule mining is utilized to infer
+multi-level social context among subjects from a large repository of social transactions.
+The results are demonstrated on the G-album and on the SN-collection pertaining to 4675
+identities prepared by the authors from a social networking website. The results show that
+ssociation rules extracted from social context can be used to augment face recognition and
+improve the identification performance.
+Introduction
+Face recognition capabilities of humans have inspired several researchers to understand
+the science behind it and use it in developing automated algorithms. Recently, it is also
+rgued that encoding social context among individuals can be leveraged for improved
+utomatic face recognition [175]. As shown in Figure 4.1, often times a person’s identity"

+3ca1e06dfbaeed0f8dc49bf345369fb8e43da53d,Cross-View Asymmetric Metric Learning for Unsupervised Person Re-Identification,"Cross-view Asymmetric Metric Learning for
+Unsupervised Person Re-identification
+Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng
+Code is available at the project page:
+https://github.com/KovenYu/CAMEL
+For reference of this work, please cite:
+Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng. “Cross-view Asymmetric
+Metric Learning for Unsupervised Person Re-identification.” Proceedings
+of the IEEE International Conference on Computer Vision. 2017.
+title={Cross-view Asymmetric Metric Learning for Unsupervised Person
+Re-identification},
+uthor={Yu, Hong-Xing and Wu, Ancong and Zheng, Wei-Shi},
+ooktitle={Proceedings of the IEEE International Conference on Computer
+Vision},
+year={2017}"

+56e95fa26fb417776824e5adf6d6d511e5b30110,Object and Action Classification with Latent Window Parameters,"Int J Comput Vis
+DOI 10.1007/s11263-013-0646-8
+Object and Action Classification with Latent Window Parameters
+Hakan Bilen · Vinay P. Namboodiri · Luc J. Van Gool
+Received: 1 October 2012 / Accepted: 18 July 2013
+© Springer Science+Business Media New York 2013"

+56e4dead93a63490e6c8402a3c7adc493c230da5,Face Recognition Techniques: A Survey,"World Journal of Computer Application and Technology 1(2): 41-50, 2013
+DOI: 10.13189/wjcat.2013.010204
+http://www.hrpub.org
+Face Recognition Techniques: A Survey
+V.Vijayakumari
+Department of Electronics and Communication, Sri krishna College of Technology, Coimbatore, India
+*Corresponding Author:
+Copyright © 2013 Horizon Research Publishing All rights reserved."

+56b9c6efe0322f0087d2f82b52129cc6b41ab356,"Acquire, Augment, Segment & Enjoy: Weakly Supervised Instance Segmentation of Supermarket Products","Acquire, Augment, Segment & Enjoy:
+Weakly Supervised Instance Segmentation of
+Supermarket Products
+Patrick Follmann+*, Bertram Drost+, and Tobias B¨ottger+*
++MVTec Software GmbH, Munich, Germany
+Technical University of Munich (TUM)
+July 9, 2018"

+56bc524d7cc1ff2fad8f27c0414cac437fc2b4f0,Protest Activity Detection and Perceived Violence Estimation from Social Media Images,"To appear in Proceedings of the 25th ACM International Conference on Multimedia 2017
+Protest Activity Detection and Perceived Violence Estimation
+from Social Media Images
+Donghyeon Won
+Zachary C. Steinert-Threlkeld
+Jungseock Joo"

+56e885b9094391f7d55023a71a09822b38b26447,Face Retrieval using Frequency Decoded Local Descriptor,"FREQUENCY DECODED LOCAL BINARY PATTERN
+Face Retrieval using Frequency Decoded Local
+Descriptor
+Shiv Ram Dubey, Member, IEEE"

+568727a76dc1242e3d48392f9c19678a27c63482,High Entropy Ensembles for Holistic Figure-ground Segmentation,"GALLO et al.: HEE FOR HOLISTIC FIGURE-GROUND SEGMENTATION
+High Entropy Ensembles for Holistic
+Figure-ground Segmentation
+Ignazio Gallo
+Alessandro Zamberletti
+Simone Albertini
+Lucia Noce
+Applied Recognition Technology
+Laboratory
+Department of Theoretical and Applied
+Science
+University of Insubria
+Varese, Italy"

+56d4eeb7fcdfd4f3156b9bdd20a9f35c995ebcac,Local Similarity Based Linear Discriminant Analysis for Face Recognition with Single Sample per Person,"Local Similarity based Linear Discriminant
+Analysis for Face Recognition with Single
+Sample per Person
+Fan Liu1, Ye Bi1, Yan Cui2, Zhenmin Tang1
+School of Computer Science and Engineering, Nanjing University of Science and
+Key Laboratory of Broadband Wireless Communication and Sensor Network
+Technology, Nanjing University of Posts and Telecommunications, China
+Technology, China"

+56fcc0ef7c10ff322626fec29f532af1860ff2f7,Occlusion and Abandoned Object Detection for Surveillance Applications,"International Journal of Computer Applications Technology and Research
+Volume 2– Issue 6, 708 - 713, 2013, ISSN:  2319–8656
+Occlusion and Abandoned Object Detection for
+Surveillance Applications
+M. Chitra
+RVS college of Engineering
+nd Technology
+Karaikal, India
+M.Kalaiselvi Geetha
+Annamalai University
+Chidambaram, India
+L.Menaka
+RVS college of Engineering
+nd Technology
+Karaikal, India
+is  challenging  and"

+568067d7232c753e182dbc1d7075364560ffc363,Scope of physiological and behavioural pain assessment techniques in children – a review,"Scope of physiological and behavioural pain assessment techniques
+in children – a review
+Saranya Devi Subramaniam1, Brindha Doss1 ✉, Lakshmi Deepika Chanderasekar2, Aswini Madhavan1,
+Antony Merlin Rosary2
+Department of Biomedical Engineering, PSG College of Technology, Coimbatore 641004, India
+Department of Electronics & Communication Engineering, PSG College of Technology, Coimbatore, 641004, India
+✉ E-mail:
+Published in Healthcare Technology Letters; Received on 7th February 2018; Accepted on 10th May 2018
+Pain is an unpleasant subjective experience. At present, clinicians are using self-report or pain scales to recognise and monitor pain in children.
+However, these techniques are not efficient to observe the pain in children having cognitive disorder and also require highly skilled observers
+to measure pain. Using these techniques it is also difficult to choose the analgesic drug dosages to the patients after surgery. Thus, this
+onceptual work explains the demand for automatic coding techniques to evaluate pain and also it documents some evidence of
+techniques that act as an alternative approach for objectively determining pain in children. In this review, some good indicators of pain in
+hildren are explained in detail; they are facial expressions from an RGB image, thermal image and also feature from well proven
+physiological signals such as electrocardiogram, skin conductance, body temperature, surgical pleth index, pupillary reflex dilation,
+nalgesia nociception index, photoplethysmography, perfusion index etc.
+. Introduction: The children will encounter pain resulting from
+injuries, disease, after surgery and other health problems. The
+‘International Association for the Study of Pain (IASP)’, an
+interdisciplinary organisation created in 1973 to study pain and"

+564babec16b895d385d06d38545febd66ef02f35,Robust Statistics for Feature-based Active Appearance Models,

+562f35a662545d839876deeb605ca2c864507a82,Revealing Variations in Perception of Mental States from Dynamic Facial Expressions: A Cautionary Note,"Revealing Variations in Perception of Mental States from
+Dynamic Facial Expressions: A Cautionary Note
+Elisa Back1*, Timothy R. Jordan2
+Department of Psychology, Kingston University London, Kingston upon Thames, United Kingdom, 2 Department of Psychology, Zayed University, Dubai, United Arab
+Emirates"

+564d4ee76c0511bc395dfc8ef8e3b3867fc34a6d,Robust group sparse representation via half-quadratic optimization for face recognition,"Robust Group Sparse Representation via Half-Quadratic Optimization
+for Face Recognition
+Yong Peng and Bao-Liang Lu(cid:3), Senior Member, IEEE"

+56a653fea5c2a7e45246613049fb16b1d204fc96,Quaternion Collaborative and Sparse Representation With Application to Color Face Recognition,"Quaternion Collaborative and Sparse Representation
+With Application to Color Face Recognition
+Cuiming Zou, Kit Ian Kou, Member, IEEE, and Yulong Wang, Student Member, IEEE
+representation-based"

+5666ed763698295e41564efda627767ee55cc943,Relatively-Paired Space Analysis: Learning a Latent Common Space From Relatively-Paired Observations,"Manuscript
+Click here to download Manuscript: template.tex
+Click here to view linked References
+Noname manuscript No.
+(will be inserted by the editor)
+Relatively-Paired Space Analysis: Learning a Latent Common
+Space from Relatively-Paired Observations
+Zhanghui Kuang · Kwan-Yee K. Wong
+Received: date / Accepted: date"

+564555b7fdc45938d813650de7a7b1cd40005aa8,Implementation of SIFT In Various Applications,"International Journal of Engineering Research and Development
+e-ISSN: 2278-067X, p-ISSN: 2278-800X, www.ijerd.com
+Volume 7, Issue 4 (May 2013), PP. 59-64
+Implementation of SIFT In Various Applications
+,2,3Deen Bandhu Chotu Ram University of Science and Technology Murthal, Haryana, India.
+Ritu Rani1, S. K. Grewal 2, Indiwar 3"

+5615d6045301ecbc5be35e46cab711f676aadf3a,Discriminatively Learned Hierarchical Rank Pooling Networks,"Discriminatively Learned Hierarchical Rank Pooling Networks
+Basura Fernando · Stephen Gould
+Received: date / Accepted: date"

+56cf859363f1b5231418b40b957a9132a78ea546,VLASE: Vehicle Localization by Aggregating Semantic Edges,"VLASE: Vehicle Localization by Aggregating Semantic Edges
+Xin Yu1∗, Sagar Chaturvedi1∗, Chen Feng2, Yuichi Taguchi2, Teng-Yok Lee2, Clinton Fernandes1, Srikumar Ramalingam1"

+56f5a94047966eac4b2f97ded4b50513f9a09951,Is the Kidney Donor Risk Index a Useful Tool in Non-US Patients?,"791148 CJKXXX10.1177/2054358118791148Canadian Journal of Kidney Health and DiseaseYoung et al
+research-article20182018
+Original Research Article
+Is the Kidney Donor Risk Index a
+Useful Tool in Non-US Patients?
+Ann Young1, Greg A. Knoll2,3, Eric McArthur2,
+Stephanie N. Dixon2,4, Amit X. Garg2,5,
+Charmaine E. Lok1,2,6, Ngan N. Lam7, and S. Joseph Kim1,2,6,8
+Canadian Journal of Kidney Health
+nd Disease
+Volume 5: 1 –10
+© The Author(s) 2018
+Reprints and permissions:
+sagepub.com/journals-permissions
+DOI: 10.1177/2054358118791148
+https://doi.org/10.1177/2054358118791148
+journals.sagepub.com/home/cjk"

+56852a56dd830a6ee3882773c453025ddec652e2,Emotion recognition through static faces and moving bodies: a comparison between typically developed adults and individuals with high level of autistic traits,"ORIGINAL RESEARCH
+published: 23 October 2015
+doi: 10.3389/fpsyg.2015.01570
+Emotion recognition through static
+faces and moving bodies: a
+omparison between typically
+developed adults and individuals
+with high level of autistic traits†
+Rossana Actis-Grosso1,2*, Francesco Bossi1 and Paola Ricciardelli1,2
+Department of Psychology, University of Milano-Bicocca, Milano, Italy, 2 Milan Centre for Neuroscience, Milano, Italy
+We investigated whether the type of stimulus (pictures of static faces vs. body motion)
+ontributes differently to the recognition of emotions. The performance (accuracy and
+response times) of 25 Low Autistic Traits (LAT group) young adults (21 males) and 20
+young adults (16 males) with either High Autistic Traits or with High Functioning Autism
+Spectrum Disorder (HAT group) was compared in the recognition of four emotions
+(Happiness, Anger, Fear, and Sadness) either shown in static faces or conveyed by
+moving body patch-light displays (PLDs). Overall, HAT individuals were as accurate as
+LAT ones in perceiving emotions both with faces and with PLDs. Moreover, they correctly
+described non-emotional actions depicted by PLDs, indicating that they perceived the
+motion conveyed by the PLDs per se. For LAT participants, happiness proved to be"

+56a0ead811a1bf15e42be8a9a007b0299636f213,Talk the Walk: Navigating New York City through Grounded Dialogue,"Talk the Walk: Navigating New York City through
+Grounded Dialogue
+Harm de Vries1, Kurt Shuster3, Dhruv Batra3,2, Devi Parikh3,2, Jason Weston3 & Douwe Kiela3
+MILA, Université de Montréal; 2Georgia Institute of Technology; 3Facebook AI Research"

+566038a3c2867894a08125efe41ef0a40824a090,Face recognition and gender classification in personal memories,"978-1-4244-2354-5/09/$25.00 ©2009 IEEE
+ICASSP 2009"

+56dca23481de9119aa21f9044efd7db09f618704,Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices,"Riemannian Dictionary Learning and Sparse
+Coding for Positive Definite Matrices
+Anoop Cherian
+Suvrit Sra"

+560447750f45ea18cb21f202e30344c4fe12c52e,Removal Of Blurred And Illuminated Face Image With Different Poses,"International Journal of Scientific & Engineering Research, Volume 5, Issue 3, March-2014                                                                           33
+ISSN 2229-5518
+Removal Of Blurred And Illuminated
+Face Image With Different Poses
+C.Indhumathi, C.Dhanamani"

+56c5d08103c5bf4b263a81da73135455136bbe6d,Kernel MBPLS for a Scalable and Multi-Camera Person Re-Identification System,"Kernel MBPLS for a Scalable and Multi-Camera Person
+Re-Identification System
+Raphael Pratesa,*, William Robson Schwartza
+Smart Surveillance Interest Group, Computer Science Department, Universidade Federal de Minas Gerais, Minas
+Gerais, Brazil
+Person re-identification aims at establishing global identities for individuals as they move
+cross a camera network.
+It is a challenging task due to the drastic appearance changes that
+occur between cameras as consequence of different pose and illumination conditions. Pairwise
+matching models yield state-of-the-art results in most of the person re-identification datasets by
+apturing nuances that are robust and discriminative for a specific pair of cameras. Nonetheless,
+pairwise models are not scalable with the number of surveillance cameras. Therefore, elegant solu-
+tions combining scalability with high matching rates are crucial for the person re-identification in
+real-world scenarios. In this work, we tackle this problem proposing a multi-camera nonlinear re-
+gression model called Kernel Multiblock Partial Least Squares (Kernel MBPLS), a single subspace
+model for the entire camera network that uses all the labeled information. In this subspace, probe
+nd gallery individual can be successfully matched. Experimental results in three multi-camera
+person re-identification datasets (WARD, RAID and SAIVT-SoftBIO) demonstrate that the Ker-
+nel MBPLS presents favorable aspects such as the scalability and robustness with respect to the
+number of cameras combined with the high matching rates."

+5665d98136cc39322d47cb782b8e49d141c5a29e,An Agile Framework for Real-time Visual Tracking in Videos,"REPORT DOCUMENTATION PAGE
+Form Approved OMB NO. 0704-0188
+this  collection  of
+information
+is  estimated
+instructions,
+The  public  reporting  burden
+Send  comments
+searching  existing  data  sources,  gathering  and  maintaining
+to  Washington
+regarding
+this  burden  estimate  or  any  other  aspect  of
+Information  Operations  and  Reports,  1215 Jefferson  Davis  Highway,  Suite  1204,  Arlington  VA,  22202-4302.
+Headquarters  Services,  Directorate
+Respondents  should  be  aware  that  notwithstanding  any  other  provision  of  law,  no  person  shall  be  subject  to  any  oenalty  for  failing  to  comply  with  a  collection  of
+information if it does not display a currently valid OMB control number.
+PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS.
+. REPORT DATE (DD-MM-YYYY)
+the  data  needed,  and  completing  and  reviewing
+this  collection  of"

+516a27d5dd06622f872f5ef334313350745eadc3,Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model,"> REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) <
+Fine-Grained Facial Expression Analysis Us-
+ing Dimensional Emotion Model
+ǂFeng Zhou, ǂShu Kong, Charless C. Fowlkes, Tao Chen, *Baiying Lei, Member, IEEE"

+513d9d0fdc9efa0f042ed1a3c8eab1fbb564f67b,Efficient Processing of Deep Neural Networks: A Tutorial and Survey,"Efficient Processing of Deep Neural Networks:
+A Tutorial and Survey
+Vivienne Sze, Senior Member, IEEE, Yu-Hsin Chen, Student Member, IEEE, Tien-Ju Yang, Student
+Member, IEEE, Joel Emer, Fellow, IEEE"

+51c3050fb509ca685de3d9ac2e965f0de1fb21cc,Fantope Regularization in Metric Learning,"Fantope Regularization in Metric Learning
+Marc T. Law
+Nicolas Thome
+Matthieu Cord
+Sorbonne Universit´es, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, Paris, France"

+51c7c5dfda47647aef2797ac3103cf0e108fdfb4,Cs 395t: Celebrity Look-alikes *,"CS 395T: Celebrity Look-Alikes ∗
+Adrian Quark"

+511dda02d39dc8107ac385ea8a572970e2eb9b7b,"Face recognition using distributed, mobile computing","014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP)
+978-1-4799-2893-4/14/$31.00 ©2014 IEEE
+Klipsch School of Electrical and Computer Engineering
+Gregorio Hinojos and Phillip L. De Leon
+Las Cruces, New Mexico, U.S.A.
+New Mexico State University
+. INTRODUCTION"

+519f4eb5fe15a25a46f1a49e2632b12a3b18c94d,Non-Lambertian Reflectance Modeling and Shape Recovery of Faces Using Tensor Splines,"Non-Lambertian Reflectance Modeling and
+Shape Recovery of Faces using Tensor Splines
+Ritwik Kumar, Student Member, IEEE, Angelos Barmpoutis, Member, IEEE,
+Arunava Banerjee, Member, IEEE, and Baba C. Vemuri, Fellow, IEEE"

+5171157c2c09a85ad6558c5c03da6b75b0cf5fe6,Dynamic Coattention Networks For Question Answering,"Published as a conference paper at ICLR 2017
+DYNAMIC COATTENTION NETWORKS
+FOR QUESTION ANSWERING
+Caiming Xiong∗, Victor Zhong∗, Richard Socher
+Salesforce Research
+Palo Alto, CA 94301, USA
+{cxiong, vzhong,"

+518439ba2895c84ba686db5b83674c440e637c0b,The Price of Fair PCA: One Extra Dimension,"The Price of Fair PCA: One Extra Dimension
+Samira Samadi
+Georgia Tech
+Uthaipon Tantipongpipat
+Georgia Tech
+Jamie Morgenstern
+Georgia Tech
+Mohit Singh
+Georgia Tech
+Santosh Vempala
+Georgia Tech"

+519db7bb7d1778bddfbe3725220756627373d69a,A Comparative Study of Local Matching Approach for Face Recognition,"A Comparative Study of Local Matching
+Approach for Face Recognition
+Jie Zou, Member, IEEE, Qiang Ji, Senior Member, IEEE, and George Nagy, Fellow, IEEE
+to holistic methods,"

+516a014f4654c90a22ae3d363b6e80bda68a084d,Adaptive human-centered representation for activity recognition of multiple individuals from 3D point cloud sequences,"Adaptive Human-Centered Representation for Activity Recognition of
+Multiple Individuals from 3D Point Cloud Sequences
+Hao Zhang1, Christopher Reardon2, Chi Zhang2, and Lynne E. Parker2"

+51c7236feaa2ae23cef78c7bca75c69d7081e24a,Deep multi-frame face super-resolution,"Deep multi-frame face super-resolution
+Evgeniya Ustinova, Victor Lempitsky
+October 17, 2017"

+51cc78bc719d7ff2956b645e2fb61bab59843d2b,Face and Facial Expression Recognition with an Embedded System for Human-Robot Interaction,"Face and Facial Expression Recognition with an
+Embedded System for Human-Robot Interaction
+Yang-Bok Lee1, Seung-Bin Moon1, and Yong-Guk Kim 1*
+School of Computer Engineering, Sejong University, Seoul, Korea"

+517cc1084952133b6d2ecd0a535cdc3ddf8955d7,A Graphical Social Topology Model for Multi-Object Tracking,"A Graphical Social Topology Model for
+Multi-Object Tracking
+Shan Gao, Xiaogang Chen, Qixiang Ye, Senior Member, IEEE, Arjan Kuijper, Member, IEEE,
+Xiangyang Ji, Member, IEEE,"

+511b06c26b0628175c66ab70dd4c1a4c0c19aee9,Face Recognition using Laplace Beltrami Operator by Optimal Linear Approximations,"International Journal of Engineering Research and General ScienceVolume 2, Issue 5, August – September 2014
+ISSN 2091-2730
+Face Recognition using Laplace Beltrami Operator by Optimal Linear
+Approximations
+Tapasya Sinsinwar1, P.K.Dwivedi2
+Professor and Director Academics, Institute of Engineering and Technology, Alwar, Rajasthan Technical University, Kota(Raj.)
+Research Scholar (M.Tech, IT), Institute of Engineering and Technology"

+5122a5d4bdf58b4f413d4de1fb250d4ab5e0608a,Gender Classification from Pose-Based GEIs,"Gender Classification from Pose-Based GEIs(cid:2)
+Ra´ul Mart´ın-F´elez, Ram´on A. Mollineda, and J. Salvador S´anchez
+Institute of New Imaging Technologies (INIT)
+Universitat Jaume I. Av. Sos Baynat s/n, 12071, Castell´o de la Plana, Spain"

+5146832515ba8b4ad48372967d9fb7dcdea61869,CUNI System for WMT16 Automatic Post-Editing and Multimodal Translation Tasks,"Proceedings of the First Conference on Machine Translation, Volume 2: Shared Task Papers, pages 646–654,
+Berlin, Germany, August 11-12, 2016. c(cid:13)2016 Association for Computational Linguistics"

+51a81a17328ad36f1bbc15e240076b68d3271c0c,Laplacian object: One-shot object detection by locality preserving projection,"LAPLACIAN OBJECT: ONE-SHOT OBJECT DETECTION BY LOCALITY PRESERVING
+PROJECTION
+Sujoy Kumar Biswas and Peyman Milanfar
+Electrical Engineering Department
+University of California, Santa Cruz
+156 High Street, Santa Cruz, CA, 95064"

+5193328862366e114781cb6b196ae958c1553357,Incremental Learning in Person Re-Identification,"Incremental Learning in Person Re-Identification
+Prajjwal Bhargava
+SRM University
+Chennai"

+511662e02373433c8c9e27d1425707069e3695b7,Effects of image compression on ear biometrics,"Engineering and Technology Copyright. The copy of record is available at IET Digital Library.
+Research Article
+Effects of image compression on ear
+iometrics
+ISSN 2047-4938
+Received on 23rd October 2015
+Revised on 27th January 2016
+Accepted on 15th February 2016
+doi: 10.1049/iet-bmt.2015.0098
+www.ietdl.org
+Christian Rathgeb1 ✉, Anika Pflug2, Johannes Wagner1, Christoph Busch1
+da/sec – Biometrics and Internet Security Research Group, Hochschule Darmstadt, Germany
+Media Security and IT Forensics – Fraunhofer Institute for Secure Information Technology, Germany
+✉ E-mail:"

+5120fb7db8eadb26118847d0553fca1c22ed6f07,Deep Extreme Tracker Based on Bootstrap Particle Filter,"Journal of Theoretical and Applied Information Technology
+31st August 2014. Vol. 66 No.3
+© 2005 - 2014 JATIT & LLS. All rights reserved.
+ISSN: 1992-8645                                                       www.jatit.org                                                          E-ISSN: 1817-3195
+DEEP EXTREME TRACKER BASED ON
+BOOTSTRAP PARTICLE FILTER
+ALEXANDER A S GUNAWAN,
+2 MOHAMAD IVAN FANANY,
+WISNU JATMIKO
+Bina Nusantara University, Mathematics Department, School of Computer Science, Jakarta, Indonesia
+, 3 Universitas Indonesia, Faculty of Computer Science, Depok, Indonesia
+E-mail:  1 2 3"

+51b70582fb0d536d4a235f91bf6ad382f29e2601,Detection of emotions from video in non-controlled environment. (Détection des émotions à partir de vidéos dans un environnement non contrôlé),"Detection of emotions from video in non-controlled
+environment
+Rizwan Ahmed Khan
+To cite this version:
+Rizwan Ahmed Khan. Detection of emotions from video in non-controlled environment. Image
+Processing. Universit´e Claude Bernard - Lyon I, 2013. English. <NNT : 2013LYO10227>.
+<tel-01166539v2>
+HAL Id: tel-01166539
+https://tel.archives-ouvertes.fr/tel-01166539v2
+Submitted on 23 Jun 2015
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+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"

+51319bb12c67fb5b11cbf2012a7e2059718b52eb,Local Fisher Discriminant Analysis for Pedestrian Re-identification,"Local Fisher Discriminant Analysis for Pedestrian Re-identification
+Sateesh Pedagadi, James Orwell
+Kingston University London
+Sergio Velastin
+Universidad de Santiago de Chile
+Boghos Boghossian
+Ipsotek Ltd, UK"

+5161e38e4ea716dcfb554ccb88901b3d97778f64,SSPP-DAN: Deep domain adaptation network for face recognition with single sample per person,"SSPP-DAN: DEEP DOMAIN ADAPTATION NETWORK FOR
+FACE RECOGNITION WITH SINGLE SAMPLE PER PERSON
+Sungeun Hong, Woobin Im, Jongbin Ryu, Hyun S. Yang
+School of Computing, KAIST, Republic of Korea"

+5121f42de7cb9e41f93646e087df82b573b23311,Classifying Online Dating Profiles on Tinder using FaceNet Facial Embeddings,"CLASSIFYING ONLINE DATING PROFILES ON TINDER USING FACENET FACIAL
+EMBEDDINGS
+Charles F. Jekel and Raphael T. Haftka
+Department of Mechanical & Aerospace Engineering - University of Florida - Gainesville, FL 32611"

+51cf3fa26b7c31c10427317fb5d72a6712023279,What Shape Is Your Conjugate? A Survey of Computational Convex Analysis and Its Applications,"A SURVEY OF COMPUTATIONAL CONVEX ANALYSIS AND ITS APPLICATIONS
+WHAT SHAPE IS YOUR CONJUGATE?
+YVES LUCET"

+51d1a6e15936727e8dd487ac7b7fd39bd2baf5ee,"A Fast and Accurate System for Face Detection, Identification, and Verification","JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+A Fast and Accurate System for Face Detection,
+Identification, and Verification
+Rajeev Ranjan, Ankan Bansal, Jingxiao Zheng, Hongyu Xu, Joshua Gleason, Boyu Lu, Anirudh Nanduri,
+Jun-Cheng Chen, Carlos D. Castillo, Rama Chellappa"

+5194a8acc87dd05a92a21f94fea966a2815f9b38,Noise aware analysis operator learning for approximately cosparse signals,"978-1-4673-0046-9/12/$26.00 ©2012 IEEE
+ICASSP 2012"

+51e43578ad761c7c4d58cb159eee0f8e6cf0f7a4,Incremental indexing and distributed image search using shared randomized vocabularies,"Introduction
+Method
+Results
+Incremental Indexing and Distributed Image Search
+using Shared Randomized Vocabularies
+Rapha¨el Mar´ee, Philippe Denis, Louis Wehenkel, Pierre Geurts
+GIGA Bioinformatics
+GIGA Research ; Dept. EE & CS (Montefiore Institute)
+University of Li`ege, Belgium
+MIR 2010
+March 29–31, 2010
+Philadelphia, Pennsylvania, USA
+Mar´ee et al.
+Shared Randomized Vocabularies
+(1 / 44)"

+51d97f4e4385a3da78bf9277a5426216198698c3,Improving the Accuracy of Face Detection for Damaged Video and Distant Targets,"Improving the Accuracy of Face Detection for Damaged Video and
+Distant Targets
+Department of Communication Engineering, Oriental Institute of Technology, New Taiepi City, Taiwan
+Jun-Horng Chen
+Keywords:
+Error Concealment, Face Detection, Super-resolution."

+514fdf2152dda3a39fc05eb6e1c80314837d96a2,Detailed 3D Representations for Object Recognition and Modeling,"Detailed 3D Representations for
+Object Recognition and Modeling
+M. Zeeshan Zia, Student Member, IEEE, Michael Stark, Member, IEEE,
+Bernt Schiele, Member, IEEE, and Konrad Schindler, Member, IEEE"

+51bfc693d170b4171f5bd9f9aed51f1fe8b5304d,Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels,"Zero-shot Recognition via Direct Classifier Learning
+with Transferred Samples and Pseudo Labels
+AAAI Anonymous Submission 182"

+5157dde17a69f12c51186ffc20a0a6c6847f1a29,Evolutionary Cost-Sensitive Extreme Learning Machine,"Evolutionary Cost-sensitive Extreme Learning
+Machine
+Lei Zhang, Member, IEEE, and David Zhang, Fellow, IEEE"

+3dec830b2514e82c714162622b3077966660112f,Statistical Evaluation of Face Recognition Techniques under Variable Environmental Constraints,"International Journal of Statistics and Probability; Vol. 4, No. 4; 2015
+ISSN 1927-7032      E-ISSN 1927-7040
+Published by Canadian Center of Science and Education
+Statistical Evaluation of Face Recognition Techniques under Variable
+Environmental Constraints
+Louis Asiedu1, Atinuke O. Adebanji2, Francis Oduro3
+& Felix O. Mettle4
+Department of Statistics, University of Ghana, Legon-Accra, Ghana
+Department of Mathematics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
+Department  of  Mathematics,  Kwame  Nkrumah  University  of  Science  and  Technology,  Kumasi,  Ghana
+Department of Statistics, University of Ghana, Legon-Accra, Ghana
+Correspondence:  Louis  Asiedu,  Department  of  Statistics,  University  of  Ghana,  Legon-Accra,  Ghana.  Tel:
+33-543-426-707. E-mail:
+Received: August 1, 2015      Accepted: August 19, 2015      Online Published: October 9, 2015
+doi:10.5539/ijsp.v4n4p93                    URL: http://dx.doi.org/10.5539/ijsp.v4n4p93"

+3d74d4177f5c1444b73221c12f359e858625a691,Composite-ISA Cores : Enabling Multi-ISA Heterogeneity Using a Single ISA,"ISCA 2018 Submission #283
+Confidential Draft: DO NOT DISTRIBUTE
+Composite-ISA Cores: Enabling Multi-ISA Heterogeneity
+Using a Single ISA"

+3d6229044f6605604818f39f08c5270a5a132a03,Projective Nonnegative Matrix Factorization based on α-Divergence,"Projective Nonnegative Matrix Factorization based on
+-Divergence
+Zhirong Yang and Erkki Oja
+Department of Information and Computer Science∗
+Aalto University School of Science and Technology
+P.O.Box 15400, FI-00076, Aalto, Finland"

+3dbb2ca6942eb49538d92823fe22c7475e866ca1,Institutionen För Systemteknik Department of Electrical Engineering Examensarbete Autonomous Morphometrics Using Depth Cameras for Object Classification and Identification Autonomous Morphometrics Using Depth Cameras for Object Classification and Identification Examensarbete Utfört I Datorseende Vid Tekniska Högskolan Vid Linköpings Universitet Av,"Institutionen för systemteknik
+Department of Electrical Engineering
+Examensarbete
+Autonomous Morphometrics using Depth Cameras for
+Object Classification and Identification
+Examensarbete utfört i Datorseende
+vid Tekniska högskolan vid Linköpings universitet
+Felix Björkeson
+LiTH-ISY-EX--13/4680--SE
+Linköping 2013
+Department of Electrical Engineering
+Linköpings universitet
+SE-581 83 Linköping, Sweden
+Linköpings tekniska högskola
+Linköpings universitet
+581 83 Linköping"

+3da97d97b12fcf22208c36f471119f33a08d9b6f,Multi-modal Biometric system using ear and face(2D+3D) Modalities,"Multi-modal Biometric system using ear and
+face(2D+3D) Modalities
+M.Pujitha Raj
+Computer Science and engineering
+Amrita University
+Coimbatore, India
+B.Achyut Sarma
+Computer Science and engineering
+Amrita University
+Coimbatore, India"

+3daafe6389d877fe15d8823cdf5ac15fd919676f,Human Action Localization with Sparse Spatial Supervision,"Human Action Localization
+with Sparse Spatial Supervision
+Philippe Weinzaepfel, Xavier Martin, and Cordelia Schmid, Fellow, IEEE"

+3daf1191d43e21a8302d98567630b0e2025913b0,Can Autism be Catered with Artificial Intelligence-Assisted Intervention Technology? A Literature Review,"Can Autism be Catered with Artificial Intelligence-Assisted Intervention
+Technology? A Literature Review
+Muhammad Shoaib Jaliawala∗, Rizwan Ahmed Khan∗†
+Faculty of Information Technology, Barrett Hodgson University, Karachi, Pakistan
+Universit´e Claude Bernard Lyon 1, France"

+3dcc51a37f2e5e91d77ff00f18178484c4e938cb,Excitation Dropout: Encouraging Plasticity,"Under review as a conference paper at ICLR 2019
+EXCITATION DROPOUT: ENCOURAGING PLASTICITY
+IN DEEP NEURAL NETWORKS
+Anonymous authors
+Paper under double-blind review"

+3d36f941d8ec613bb25e80fb8f4c160c1a2848df,Out-of-Sample Generalizations for Supervised Manifold Learning for Classification,"Out-of-sample generalizations for supervised
+manifold learning for classification
+Elif Vural and Christine Guillemot"

+3d7a5d1fbec861542631fcb10f58e38f4f51a04c,Face Recognition Application of Blur-Robust,"International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Impact Factor (2012): 3.358
+Face Recognition Application of Blur-Robust
+Pitta Santhosh Kumar1, Ankush Jain2
+M.Tech student, Department of CSE, Anurag Group of Institutions, Hyderabad, India
+Assistant professor, Department of CSE, Anurag Group of Institutions, Hyderabad, India"

+3d5a1be4c1595b4805a35414dfb55716e3bf80d8,Hidden Two-Stream Convolutional Networks for Action Recognition,"Hidden Two-Stream Convolutional Networks for
+Action Recognition
+Yi Zhu, Zhenzhong Lan, Shawn Newsam, Alexander G. Hauptmann"

+3de3c479164312ab3a1795ee84f20c16632c04c4,Scalable Deep Learning Logo Detection,"Scalable Deep Learning Logo Detection
+Hang Su∗, Shaogang Gong†, Xiatian Zhu‡
+† Queen Mary University of London ‡ Vision Semantics Ltd."

+3d62b2f9cef997fc37099305dabff356d39ed477,Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition,"Joint Face Alignment and 3D Face
+Reconstruction with Application to Face
+Recognition
+Feng Liu, Qijun Zhao, Member, IEEE, Xiaoming Liu, Member, IEEE and Dan Zeng"

+3d97f739ae76c8db1146da4aaeb0dc1ef3d31c33,Données multimodales pour l ’ analyse d ’ image,"UNIVERSITÉDEGRENOBLENoattribuéparlabibliothèqueTHÈSEpourobtenirlegradedeDOCTEURDEL’UNIVERSITÉDEGRENOBLESpécialité:MathématiquesetInformatiquepréparéeauLaboratoireJeanKuntzmanndanslecadredel’ÉcoleDoctoraleMathématiques,SciencesetTechnologiesdel’Information,InformatiqueprésentéeetsoutenuepubliquementparMatthieuGuillauminle27septembre2010ExploitingMultimodalDataforImageUnderstandingDonnéesmultimodalespourl’analysed’imageDirecteursdethèse:CordeliaSchmidetJakobVerbeekJURYM.ÉricGaussierUniversitéJosephFourierPrésidentM.AntonioTorralbaMassachusettsInstituteofTechnologyRapporteurMmeTinneTuytelaarsKatholiekeUniversiteitLeuvenRapporteurM.MarkEveringhamUniversityofLeedsExaminateurMmeCordeliaSchmidINRIAGrenobleExaminatriceM.JakobVerbeekINRIAGrenobleExaminateur"

+3d91ba69bfbb2ba018419342d279f2d7571530f6,Qualitative Tracking Performance Evaluation without Ground-Truth,"Qualitative Tracking Performance Evaluation without Ground-Truth∗
+Dept. of Computer Science and Engineering
+Dept. of Computer Science and Engineering
+Jihun Hamm
+Bohyung Han
+POSTECH, Korea"

+3da4fa2365c01f53180050c7d332107089d913c0,Face Recognition Using Parzenfaces,"Face Recognition Using Parzenfaces
+Zhirong Yang and Jorma Laaksonen
+Laboratory of Computer and Information Science ⋆
+Helsinki University of Technology
+P.O. Box 5400, FI-02015 TKK, Espoo, Finland
+{zhirong.yang,"

+3dd4d719b2185f7c7f92cc97f3b5a65990fcd5dd,Ensemble of Hankel Matrices for Face Emotion Recognition,"Ensemble of Hankel Matrices for
+Face Emotion Recognition
+Liliana Lo Presti and Marco La Cascia
+DICGIM, Universit´a degli Studi di Palermo,
+V.le delle Scienze, Ed. 6, 90128 Palermo, Italy,
+DRAFT
+To appear in ICIAP 2015"

+3da12b99cd8040bb374eed160f8016b3fe492967,Multiperson Tracking by Online Learned Grouping Model With Nonlinear Motion Context,"Multi-person Tracking by Online Learned Grouping
+Model with Non-linear Motion Context
+Xiaojing Chen, Zhen Qin, Le An, Member, IEEE, and Bir Bhanu, Fellow, IEEE"

+3d1b0c7e9ef0e31dd635041539e795dc07ebee86,Tracking people in 3D using a bottom-up top-down detector,"Tracking People in 3D Using a Bottom-Up Top-Down Detector
+Luciano Spinello, Matthias Luber and Kai O. Arras
+Social Robotics Lab, University of Freiburg, Germany
+{spinello, luber,"

+3d88180732d63a4babf3a4b1a82dd7fdf27a7520,"Facial expression, size, and clutter: Inferences from movie structure to emotion judgments and back.","23Attention, Perception, &Psychophysics ISSN 1943-3921Volume 78Number 3 Atten Percept Psychophys (2016)78:891-901DOI 10.3758/s13414-015-1003-5Facial expression, size, and clutter:Inferences from movie structure to emotionjudgments and backJames E. Cutting & Kacie L. Armstrong"

+3db123d094c7ba33bbd3c4ccbea77e2093ad6174,Online Visual Multi-Object Tracking via Labeled Random Finite Set Filtering,"JOURNAL OF LATEX CLASS FILES, VOL. X, NO. X, X XXXX
+A Labeled Random Finite Set Online
+Multi-Object Tracker for Video Data
+Du Yong Kim, Ba-Ngu Vo, Member, IEEE, and Ba-Tuong Vo, Member, IEEE"

+3dc3f0b64ef80f573e3a5f96e456e52ee980b877,Maximum Likelihood Training of the Embedded HMM for Face Detection and Recognition,"AX
U 
E

+DETECT
 AD RECG
T

+Aa V. e(cid:12)a ad  
+Cee f Siga
+Sch
+Gegia 
i	e f Tech
+faa"

+3d67e97227846f579d1825e00d395d30e17f5d0e,Face and ECG Based Multi-Modal Biometric Authentication,"Face and ECG Based Multi-Modal
+Biometric Authentication
+Ognian Boumbarov1, Yuliyan Velchev1, Krasimir Tonchev1
+nd Igor Paliy2
+Technical University of Sofia
+Ternopil National Economic University
+Bulgaria
+Ukraine
+. Introduction
+A biometric system is essentially a pattern recognition system. This system measures
+nd analyses human body physiological characteristics, such as face and facial features,
+fingerprints, eye, retinas, irises, voice patterns or behavioral characteristic for enrollment,
+verification or identification (Bolle & Pankanti, 1998). Uni-modal biometric systems have
+poor performance and accuracy, and over last few decades the multi-modal biometric systems
+have become very popular. The main objective of multi biometrics is to reduce one or more
+false accept rate, false reject rate and failure to enroll rate. Face Recognition (FR) is still
+onsidered as one of the most challenging problems in pattern recognition. The FR systems
+try to recognize the human face in video sequences as 3D object (Chang et al., 2003; 2005), in
+unconstrained conditions, in comparison to the early attempts of 2D frontal faces in controlled
+onditions. Despite the effort spent on research today there is not a single, clearly defined,"

+3dcebd4a1d66313dcd043f71162d677761b07a0d,Local binary pattern domain local appearance face recognition,"Yerel Đkili Örüntü Ortamında Yerel Görünüme Dayalı Yüz Tanıma
+Local Binary Pattern Domain Local Appearance Face Recognition
+Hazım K. Ekenel1, Mika Fischer1, Erkin Tekeli2, Rainer Stiefelhagen1, Aytül Erçil2
+Institut für Theorestische Informatik, Universität Karlsruhe (TH), Karlsruhe, Germany
+Faculty of Engineering and Natural Sciences, Sabancı University, Đstanbul, Turkey
+Özetçe
+Bu bildiride, ayrık kosinüs dönüşümü tabanlı yerel görünüme
+dayalı  yüz  tanıma  algoritması  ile  yüz  imgelerinin  yerel  ikili
+örüntüye  (YĐÖ)  dayalı  betimlemesini  birleştiren  hızlı  bir  yüz
+tanıma  algoritması  sunulmuştur.  Bu  tümleştirmedeki  amaç,
+yerel  ikili  örüntünün  dayanıklı  imge  betimleme  yeteneği  ile
+yrık  kosinüs  dönüşümünün  derli-toplu  veri  betimleme
+yeteneğinden  yararlanmaktır.  Önerilen  yaklaşımda,  yerel
+görünümün  modellenmesinden  önce  girdi  yüz  imgesi  yerel
+ikili  örüntü  ile  betimlenmiştir.  Elde  edilen  YĐÖ  betimlemesi,
+irbirleri  ile  örtüşmeyen  bloklara  ayrılmış  ve  her  blok
+üzerinde  yerel  özniteliklerin  çıkartımı  için  ayrık  kosinüs
+dönüşümü uygulanmıştır.  Çıkartımı  yapılan  yerel  öznitelikler
+daha  sonra  arka  arkaya  eklenerek  global  öznitelik  vektörü
+oluşturulmuştur.  Önerilen  algoritma,  CMU  PIE  ve  FRGC"

+3d7fce66c1880f4b29171e415cfad57d8b96ced2,Exploiting Ambiguities in the Analysis of Cumulative Matching Curves for Person Re-identification,

+3df5e17e87144b1e84b5ab9467bc2c2f233b66c7,Convolutional Architecture Exploration for Action Recognition and Image Classification,"Convolutional Architecture Exploration for
+Action Recognition and Image Classification
+JT Turner∗1,2, David Aha1, Leslie Smith1, and Kalyan Moy Gupta2
+Knexus Research Corporation;
+74 Waterfront Street Suite 310; National Harbor, MD 20745
+Navy Center for Applied Research in Artificial Intelligence;
+Naval Research Laboratory (Code 5514); Washington, DC 20375"

+3d42e17266475e5d34a32103d879b13de2366561,The Global Dimensionality of Face Space,"Proc.4thIEEEInt’lConf.AutomaticFace&GestureRecognition,Grenoble,France,pp264–270
+The Global Dimensionality of Face Space
+(cid:3)
+http://venezia.rockefeller.edu/
+The Rockefeller University
+Penio S. Penev
+Laboratory of Computational Neuroscience
+Lawrence Sirovich
+Laboratory for Applied Mathematics
+Mount Sinai School of Medicine
+(cid:13) IEEE2000
+230 York Avenue, New York, NY 10021
+One Gustave L. Levy Place, New York, NY 10029"

+3d8c8acb8c59e9f23f048f44a23f36ffd791cdf5,Visual tracking over multiple temporal scales,"Khan, Muhammad Haris (2015) Visual tracking over
+multiple temporal scales. PhD thesis, University of
+Nottingham.
+Access from the University of Nottingham repository:
+http://eprints.nottingham.ac.uk/33056/1/Thesis.pdf
+Copyright and reuse:
+The Nottingham ePrints service makes this work by researchers of the University of
+Nottingham available open access under the following conditions.
+This article is made available under the University of Nottingham End User licence and may
+e reused according to the conditions of the licence.  For more details see:
+http://eprints.nottingham.ac.uk/end_user_agreement.pdf
+For more information, please contact"

+3dba6c86541aad3ec8f54c55d57eca9aa98f4ed2,PAC-Bayesian Majority Vote for Late Classifier Fusion,"PAC-Bayesian Majority Vote for Late Classifier Fusion∗
+Aix-Marseille Univ., LIF-QARMA, CNRS, UMR 7279, F-13013, Marseille, France
+Emilie Morvant
+St´ephane Ayache
+Amaury Habrard
+Univ. of St-Etienne, Lab. Hubert Curien, CNRS, UMR 5516, F-42000, St-Etienne, France
+May 2, 2014"

+3df7401906ae315e6aef3b4f13126de64b894a54,Robust learning of discriminative projection for multicategory classification on the Stiefel manifold,"Robust Learning of Discriminative Projection for Multicategory Classification on
+the Stiefel Manifold
+Duc-Son Pham and Svetha Venkatesh
+Dept. of Computing, Curtin University of Technology
+GPO Box U1987, Perth, WA 6845, Australia"

+3dd1338a5d0aa47fa2aef31654ee1392b8089991,Crowdsourcing the construction of a 3D object recognition database for robotic grasping,"014 IEEE International Conference on Robotics & Automation (ICRA)
+Hong Kong Convention and Exhibition Center
+May 31 - June 7, 2014. Hong Kong, China
+978-1-4799-3685-4/14/$31.00 ©2014 IEEE"

+3d1382fa43c31e594ed2d84dda9984b1db047b0e,Compositional Memory for Visual Question Answering,"Compositional Memory for Visual Question Answering
+Aiwen Jiang1,2
+Fang Wang2
+Fatih Porikli2
+Yi Li∗ 2,3
+NICTA and ANU
+{fang.wang,
+Toyota Research Institute North America
+feature as the first word to initialize the sequential learning.
+While the use of holistic approach is straightforward and
+onvenient, it is, however, debatably problematic. For ex-
+mple, in the VQA problems many answers are directly re-
+lated to the contents of some image regions. Therefore, it
+is dubious if the holistic features are rich enough to provide
+the information only available at regions. Also, it may hin-
+der the exploration of finer-grained local features for VQA.
+In this paper we propose a Compositional Memory for
+n end-to-end training framework. Our approach takes the
+dvantage of the recent progresses in image captioning [3,
+], natural language processing [5], and computer vision to"

+3d21b7b4f48e614bc2f2b87eb110aa329b7d66d8,Recognizing Human Actions by Using Effective Codebooks and Tracking,"Recognizing Human Actions by using Effective
+Codebooks and Tracking
+Lamberto Ballan, Lorenzo Seidenari, Giuseppe Serra, Marco Bertini and Alberto
+Del Bimbo"

+3d1af6c531ebcb4321607bcef8d9dc6aa9f0dc5a,Random Multispace Quantization as an Analytic Mechanism for BioHashing of Biometric and Random Identity Inputs,"Random Multispace Quantization as
+n Analytic Mechanism for BioHashing
+of Biometric and Random Identity Inputs
+Andrew B.J. Teoh, Member, IEEE, Alwyn Goh, and David C.L. Ngo, Member, IEEE"

+3dffacda086689c1bcb01a8dad4557a4e92b8205,Multiple Object Tracking: A Literature Review,"Multiple Object Tracking: A Literature Review
+Wenhan Luo, Junliang Xing, Anton Milan, Xiaoqin Zhang, Wei Liu, Xiaowei Zhao and Tae-Kyun Kim"

+3d67aa108e65e636158abc0f31b703af3d31baa6,Decorrelating Semantic Visual Attributes by Resisting the Urge to Share,"Decorrelating Semantic Visual Attributes by Resisting the Urge
+Supplementary material for CVPR 2014 submission ID 0824
+to Share
+In this document, we provide supplementary material for our CVPR 2014 submission “Decorrelating Semantic
+Visual Attributes by Resisting the Urge to Share”(Paper ID 0824). Sec 1 gives additional details for our experi-
+mental setup (Sec 4 of the paper). Sec 1.1 lists the groups used in all three datasets in our experiments. Sec 1.2
+discusses the details of the image descriptors used for each dataset. Sec 2 discusses how attributes are localized
+for our experiments in Sec 4.1 in the paper. Sec 3 discusses how it is posible to set parameters that generalize well
+to novel test sets, using only training data. Sec 4 discusses the details of the optimization of our formulation (Eq 4
+in the paper).
+Datasets
+.1 Groups
+(see para on Semantic groups in Sec 4 in the paper)
+Fig 1, 2 and 3 show the attribute groups used in our experiments on the CUB, AwA and aPY datasets
+respectively. The 28 CUB groups come pre-specified with the dataset [6]. The groups on AwA match exactly the
+groups specified in [5]. Those on aPY also match the groups outlined in [5] on the 25 attributes (see paper) used
+in our experiments (aPY-25). In each figure, attribute groups are enclosed in shaded boxes, and phrases in larger
+font labeling the boxes indicate the rationale for the grouping.
+.2 Features
+(see also Sec 3.2 and para on Features in Sec 4 in the paper)"

+3dc78b41ed926b88c9cc4d40c6c5250bfafad74a,A pilot study for mood-based classification of TV programmes,"Research & Development
+White Paper
+WHP 231
+September 2012
+A Pilot Study for
+Mood-based Classification of TV Programmes
+Jana Eggink, Penelope Allen, Denise Bland
+BRITISH BROADCASTING CORPORATION"

+3d94f81cf4c3a7307e1a976dc6cb7bf38068a381,Data-Dependent Label Distribution Learning for Age Estimation,"Data-Dependent Label Distribution Learning
+for Age Estimation
+Zhouzhou He, Xi Li, Zhongfei Zhang, Fei Wu, Xin Geng, Yaqing Zhang, Ming-Hsuan Yang, and Yueting Zhuang"

+3d5187a957cc90f4143e6302786d65dbedf7d9bb,Stacking With Auxiliary Features for Visual Question Answering,"To Appear In Proceedings of the 16th Annual Conference of the North American
+Chapter of the Association for Computational Linguistics: Human Language
+Technologies 2018."

+3d9d1f8075ebdd03f86b4e40b9a5d08447ade8d3,Comparison of Illumination Normalization Methods for Face Recognition∗,"COMPARISON OF ILLUMINATION NORMALIZATION METHODS FOR
+FACE RECOGNITION(cid:3)
+Mauricio Villegas Santamar·(cid:17)a and Roberto Paredes Palacios
+Instituto Tecnol·ogico de Inform·atica
+Universidad Polit·ecnica de Valencia
+Camino de Vera s/n, 46022 Valencia (Spain)"

+3d5b8127ce57279f9fd77d3a24d8034b485163a4,System ( tm ) for Image and Vision Computing Manuscript Draft Manuscript Number : IMAVIS-D16-00270 R 2 Title : Extended three-dimensional rotation invariant local binary patterns,"Elsevier Editorial System(tm) for Image and
+Vision Computing
+Manuscript Draft
+Manuscript Number: IMAVIS-D-16-00270R2
+Title: Extended three-dimensional rotation invariant local binary
+patterns
+Article Type: Full Length Article
+Keywords: Local binary patterns (LBP); Three-dimensions; Rotation
+invariance; Texture classification
+Corresponding Author: Mr. Leonardo Citraro, MSc.
+Corresponding Author's Institution: University of Southampton
+First Author: Leonardo Citraro, MSc.
+Order of Authors: Leonardo Citraro, MSc.; Sasan Mahmoodi, Professor, Phd;
+Angela Darekar, Phd; Brigitte Vollmer, Professor, Phd"

+3db588f1e58c1207685771d8015fa9427d731a53,An automatic 3D expression recognition framework based on sparse representation of conformal images,"An Automatic 3D Expression Recognition Framework based on Sparse
+Representation of Conformal Images
+Wei Zeng, Huibin Li, Liming Chen, Jean-Marie Morvan, Xianfeng David Gu"

+3d740c4f2246ce8e63d0eacc2cc1a5c31259e9ee,Discovering Attribute Shades of Meaning with the Crowd,"http://dx.doi.org/10.1007/s11263-014-0798-1
+Discovering Attribute Shades of Meaning with the Crowd
+Adriana Kovashka · Kristen Grauman
+Received: date / Accepted: date"

+3da9a9091cfa8f4bf625829faf7a4c35a8fe91e0,Working memory network alterations in high-functioning adolescents with an autism spectrum disorder.,"PDF hosted at the Radboud Repository of the Radboud University
+Nijmegen
+The following full text is a publisher's version.
+For additional information about this publication click this link.
+http://hdl.handle.net/2066/183247
+Please be advised that this information was generated on 2018-05-20 and may be subject to
+hange."

+3d42aedd347f927a6bce28d0fa509c6d2132c11f,3D Hand Pose Detection in Egocentric RGB-D Images,"International Journal of Computer Vision manuscript No.
+(will be inserted by the editor)
+D Hand Pose Detection in Egocentric RGB-D Images
+Gr´egory Rogez · J. S. Supanˇciˇc III · Maryam Khademi ·
+J. M. M. Montiel · Deva Ramanan
+Received: date / Accepted: date"

+58b80f0e484d32c9fe5b57648848e048270d435b,Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms,"Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms
+{tag}                                                 {/tag}
+International Journal of Computer Applications
+Foundation of Computer Science (FCS), NY, USA
+Volume 134
+Number 7
+Year of Publication: 2016
+Authors:
+Filani Araoluwa S., Adetunmbi Adebayo O.
+10.5120/ijca2016907932
+{bibtex}2016907932.bib{/bibtex}"

+58cbd5a31e92cff29e29e8b25ee79f30ff4e6d4b,Culture shapes spatial frequency tuning for face identification.,"Journal of Experimental Psychology:
+Human Perception and Performance
+017, Vol. 43, No. 2, 294 –306
+0096-1523/17/$12.00
+© 2016 American Psychological Association
+http://dx.doi.org/10.1037/xhp0000288
+Culture Shapes Spatial Frequency Tuning for Face Identification
+Université de Montréal and Université du Québec en Outaouais
+Jessica Tardif
+Daniel Fiset
+Université du Québec en Outaouais
+Ye Zhang
+Hangzhou Normal University
+Amanda Estéphan
+Université du Québec en Outaouais
+Qiuju Cai, Canhuang Luo, and Dan Sun
+Hangzhou Normal University
+Frédéric Gosselin
+Université de Montréal
+Caroline Blais"

+58d16e23e1192be4acaf6a29c1f5995817146554,Bringing back simplicity and lightliness into neural image captioning,"Bringing back simplicity and lightliness into neural image captioning
+Jean-Benoit Delbrouck and St´ephane Dupont
+{jean-benoit.delbrouck,
+TCTS Lab, University of Mons, Belgium"

+5834555d239c27369e7a4167bb0c0fed725d761e,Improved illumination invariant homomorphic filtering using the dual tree complex wavelet transform,"978-1-4799-9988-0/16/$31.00 ©2016 IEEE
+ICASSP 2016"

+5801690199c1917fa58c35c3dead177c0b8f9f2d,Application of Object Based Classification and High Resolution Satellite Imagery for Savanna Ecosystem Analysis,"Remote Sens. 2010, 2, 2748-2772; doi:10.3390/rs2122748
+OPEN ACCESS
+Article
+Application of Object Based Classification and High Resolution
+Satellite Imagery for Savanna Ecosystem Analysis
+ISSN 2072-4292
+www.mdpi.com/journal/remotesensing
+Cerian Gibbes *, Sanchayeeta Adhikari, Luke Rostant, Jane Southworth, and Youliang Qiu
+Department of Geography & Land Use and Environmental Change Institute (LUECI), University of
+Florida, 3141 Turlington Hall, P. O. Box 117315, Gainesville, FL 32611, USA;
+E-Mails: (S.A.); (L.R.); (J.S.);
+(Y.Q.)
+*  Author to whom correspondence should be addressed; E-Mail:
+Tel.: +1-352-392-0494; Fax: +1-352-392-8855.
+Received: 16 October 2010; in revised form: 7 December 2010 / Accepted: 8 December 2010 /
+Published: 10 December 2010"

+58a6eb3584b2f5df2f25d39a218904d510cae516,The UAVid Dataset for Video Semantic Segmentation,"The UAVid Dataset for Video Semantic Segmentation
+Ye Lyu1, George Vosselman1, Guisong Xia2, Alper Yilmaz3, Michael Ying Yang1∗"

+5892f8367639e9c1e3cf27fdf6c09bb3247651ed,Estimating Missing Features to Improve Multimedia Information Retrieval,"Estimating Missing Features to Improve Multimedia Information Retrieval
+Abraham Bagherjeiran
+Nicole S. Love
+Chandrika Kamath (cid:3)"

+58cb6677b77d5a79fc5b8058829693ca30b36ac5,Learning Similarity Metrics by Factorising Adjacency Matrices,"Learning Similarity Metrics by Factorising Adjacency Matrices
+Henry Gouk†
+Bernhard Pfahringer†
+Michael Cree‡
+Department of Computer Science, University of Waikato, Hamilton, New Zealand
+School of Engineering, University of Waikato, Hamilton, New Zealand"

+587f81ae87b42c18c565694c694439c65557d6d5,DeepFace: Face Generation using Deep Learning,"DeepFace: Face Generation using Deep Learning
+Hardie Cate
+Fahim Dalvi
+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"

+58abb5001087f51dd2e9ab17b9fb8fb3567988e8,Array of Multilayer Perceptrons with No-class Resampling Training for Face Recognition,"Inteligencia Artificial 44(2009), 5-13
+doi: 10.4114/ia.v13i44.1041
+INTELIGENCIA ARTIFICIAL
+http://erevista.aepia.org/
+Array of Multilayer Perceptrons with No-class
+Resampling Training for Face Recognition
+D. Capello1, C. Mart´ınez2,3, D. Milone2 and G. Stegmayer1
+CIDISI-UTN-FRSF, CONICET, Lavaise 610 - Santa Fe (Argentina)
+Sinc(i)-FICH-UNL, CONICET, Ciudad Universitaria UNL - Santa Fe (Argentina)
+Laboratorio de Cibern´etica-FI-UNER, C.C. 47 Suc. 3-3100, Entre R´ıos (Argentina)"

+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∗
+Jooyoung Kim
+Dojun Yang
+Joon-Ho Kim
+Samsung Research, Samsung Electronics
+{hyun0772.lee, joody.kim, dojun.yang,"

+58a5c2f9f60bdc6ab640767cb21fd6ba04eef5d7,Towards a Unified 3D Affective Model,"Towards a Unified 3D Affective Model
+Kuderna-Iulian Benţa1, Hannelore-Inge Lisei2, Marcel Cremene1
+Technical University of Cluj-Napoca, 400016 Cluj-Napoca, România,
+“Babeş-Bolyai“ University, 400084 Cluj-Napoca, România,
+{Iulian.Benta, Marcel.Cremene,"

+581e920ddb6ecfc2a313a3aa6fed3d933b917ab0,Automatic Mapping of Remote Crowd Gaze to Stimuli in the Classroom,"Automatic Mapping of Remote Crowd Gaze to
+Stimuli in the Classroom
+Thiago Santini1, Thomas K¨ubler1, Lucas Draghetti1, Peter Gerjets2, Wolfgang
+Wagner3, Ulrich Trautwein3, and Enkelejda Kasneci1
+University of T¨ubingen, T¨ubingen, Germany
+Leibniz-Institut f¨ur Wissensmedien, T¨ubingen, Germany
+Hector Research Institute of Education Sciences and Psychology, T¨ubingen,
+Germany"

+58fa85ed57e661df93ca4cdb27d210afe5d2cdcd,Facial expression recognition by re-ranking with global and local generic features,"Cancún Center, Cancún, México, December 4-8, 2016
+978-1-5090-4847-2/16/$31.00 ©2016 IEEE"

+58888b30e9123c1b1709be1efa92898e090d7bd2,Person Re-Identification by Discriminative Selection in Video Ranking,"Person Re-Identification by Discriminative
+Selection in Video Ranking
+Taiqing Wang, Shaogang Gong, Xiatian Zhu, and Shengjin Wang"

+5860cf0f24f2ec3f8cbc39292976eed52ba2eafd,COMPUTATION EvaBio: A TOOL FOR PERFORMANCE EVALUATION IN BIOMETRICS,"International Journal of Automated Identification Technology, 3(2), July-December 2011, pp. 51-60
+COMPUTATION EvaBio: A TOOL FOR PERFORMANCE
+EVALUATION IN BIOMETRICS
+Julien Mahier, Baptiste Hemery, Mohamad El-Abed*, Mohamed T. El-Allam, Mohamed Y.
+Bouhaddaoui and Christophe Rosenberger
+GREYC Laboratory, ENSICAEN - University of Caen Basse Normandie - CNRS,
+6 Boulevard Maréchal Juin, 14000 Caen Cedex - France"

+5882e62866fe1fcf7f8458e0bd0bcb39057afce3,Attention to Head Locations for Crowd Counting,"Attention to Head Locations for Crowd Counting
+Youmei Zhang, Chunluan Zhou, Faliang Chang, and Alex C. Kot, Fellow Member, IEEE"

+5872a8ae1879c3f20d94e7cc5a4fcef47b654c7e,Sparse Matching of Salient Facial Curves for Recognizing 3 D Faces,"International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Index Copernicus Value (2015): 78.96 | Impact Factor (2015): 6.391
+Sparse Matching of Salient Facial Curves for
+Recognizing 3D Faces
+Madhura Patil1, L. J. Sankpal2
+Pune University, Sinhgad Academy of Engineering, Kondhwa, Pune 411048, India
+Professor, Pune University, Sinhgad Academy of Engineering, Kondhwa, Pune 411048
+cknowledgment
+unique  mark
+cknowledgment.
+increase  acquisition  commotion
+furthermore"

+589b30ebdb76659ce5d3a19cd9fa0e7a3466d85d,Very Low Resolution Face Recognition Problem,"Very Low Resolution Face Recognition Problem
+Wilman ZOU
+Pong C. Yuen"

+58bf72750a8f5100e0c01e55fd1b959b31e7dbce,PyramidBox: A Context-assisted Single Shot Face Detector,"PyramidBox: A Context-assisted Single Shot
+Face Detector.
+Xu Tang∗, Daniel K. Du∗, Zeqiang He, and Jingtuo Liu†
+Baidu Inc."

+58542eeef9317ffab9b155579256d11efb4610f2,"Face Recognition Revisited On Pose , Alignment , Color , Illumination And Expression-Pyten","International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Index Copernicus Value (2013): 6.14 | Impact Factor (2014): 5.611
+Face Recognition Revisited on Pose, Alignment,
+Color, Illumination and Expression-PyTen
+Mugdha Tripathi
+Computer Science, BIT Noida, India"

+58823377757e7dc92f3b70a973be697651089756,Automatic facial expression analysis,"Technical Report
+UCAM-CL-TR-861
+ISSN 1476-2986
+Number 861
+Computer Laboratory
+Automatic facial expression analysis
+Tadas Baltrusaitis
+October 2014
+5 JJ Thomson Avenue
+Cambridge CB3 0FD
+United Kingdom
+phone +44 1223 763500
+http://www.cl.cam.ac.uk/"

+58f7b9ebdb9b380cdfbef12b8abefceee0160a58,Public Document Document Evolution Executive Summary,"Project N° IST-2002-507634 - BioSecure
+D7.2.2 – Revision: b3
+Contract Number:
+Project Acronym:
+Project Title:
+Instrument:
+Start Date of Project:
+Duration:
+Deliverable Number:
+Title of Deliverable:
+8 April 2005
+IST-2002-507634
+BioSecure
+Biometrics for Secure Authentication
+Network of Excellence
+01 June, 2004
+6 months
+D7.2.2
+Report on the face state of the art
+Contractual Due Date:"

+5865e824e3d8560e07840dd5f75cfe9bf68f9d96,Embodied conversational agents for multimodal automated social skills training in people with autism spectrum disorders,"RESEARCH ARTICLE
+Embodied conversational agents for
+multimodal automated social skills training in
+people with autism spectrum disorders
+Hiroki Tanaka1*, Hideki Negoro2, Hidemi Iwasaka3, Satoshi Nakamura1
+Graduate School of Information Science, Nara Institute of Science and Technology, Ikoma-shi, Nara, 630-
+0101, Japan, 2 Center for Special Needs Education, Nara University of Education, Nara-shi, Nara, 630-8538,
+Japan, 3 Developmental Center for Child and Adult, Shigisan Hospital, Ikoma-gun, Nara, 636-0815, Japan"

+58bb77dff5f6ee0fb5ab7f5079a5e788276184cc,Facial expression recognition with PCA and LBP features extracting from active facial patches,"Facial Expression Recognition with PCA and LBP
+Features Extracting from Active Facial Patches
+Yanpeng Liua, Yuwen Caoa, Yibin Lia, Ming Liu, Rui Songa
+Yafang Wang, Zhigang Xu , Xin Maa†"

+585efe3c8efd1a4fa2ed8221c278997521668bc1,Recognizing Face Images with Disguise Variations,

+58db008b204d0c3c6744f280e8367b4057173259,Facial Expression Recognition,"International  Journal  of Current Engineering  and Technology
+ISSN 2277 - 4106
+© 2012  INPRESSCO.  All  Rights Reserved.
+Available at http://inpressco.com/category/ijcet
+Research Article
+Facial Expression  Recognition
+Riti Kushwahaa and  Neeta Naina*
+Department of Computer  Engineering Malaviya National Institute of Technology, Jaipur, Rajasthan, India
+Accepted 3June  2012,  Available online 8 June 2012"

+677585ccf8619ec2330b7f2d2b589a37146ffad7,A flexible model for training action localization with varying levels of supervision,"A flexible model for training action localization
+with varying levels of supervision
+Guilhem Chéron∗ 1 2
+Jean-Baptiste Alayrac∗ 1
+Ivan Laptev1
+Cordelia Schmid2"

+67a6bd37e91f2c334b1092fd9e9b16be93f82377,Data Driven Visual Recognition,"Data Driven Visual Recognition
+OMID AGHAZADEH
+Doctoral Thesis
+Stockholm, Sweden, 2014"

+6720edcea05b31a9b9a6db98ee71e8ed31efdc38,Practices in source code sharing in astrophysics,"Practices
+source
+sharing
+astrophysics
+Shamir1,
+Wallin2,
+Alice
+Allen3,
+Bruce
+Berriman4,
+Peter
+Teuben5,
+Robert
+Nemiroff6,
+Jessica
+Mink7,
+Robert
+Hanisch8,
+Kimberly
+DuPrie3"

+6768b558cc58e113096540c123ef3b2c2d2469a1,Maximum Margin Linear Classifiers in Unions of Subspaces,"LYU, ZEPEDA, PÉREZ: US-SVM
+Maximum Margin Linear Classifiers in
+Unions of Subspaces
+Xinrui Lyu1,2
+Joaquin Zepeda1
+Patrick Pérez1
+Technicolor
+5576, Cesson-Sevigne, France
+École Polytechnique Fédérale de
+Lausanne (EPFL)
+CH-1015, Lausanne, Switzerland"

+67bf0b6bc7d09b0fe7a97469f786e26f359910ef,Abnormal use of facial information in high-functioning autism.,"J Autism Dev Disord
+DOI 10.1007/s10803-006-0232-9
+O R I G I N A L P A P E R
+Abnormal Use of Facial Information in High-Functioning
+Autism
+Michael L. Spezio Æ Ralph Adolphs Æ
+Robert S. E. Hurley Æ Joseph Piven
+Ó Springer Science+Business Media, LLC 2006"

+6789bddbabf234f31df992a3356b36a47451efc7,Unsupervised Generation of Free-Form and Parameterized Avatars.,"Unsupervised Generation of Free-Form and
+Parameterized Avatars
+Adam Polyak, Yaniv Taigman, and Lior Wolf, Member, IEEE"

+6733adb12458678c606759233f6f55782bace372,Photogenic Facial Expression Discrimination,"PHOTOGENIC FACIAL EXPRESSION DISCRIMINATION
+Luana Bezerra Batista and Herman Martins Gomes
+Departamento de Sistemas e Computação
+João Marques de Carvalho
+Departamento de Engenharia Elétrica
+Universidade Federal de Campina Grande
+Campina Grande, Paraíba, Brasil, 58.109-970
+Keywords:
+Facial Expression Recognition, Photogeny, Principal Component Analysis, Multi-Layer Perceptron."

+67490b6f34c827f107b046adeef0f5476132d4f8,"How good are detection proposals, really?","J. HOSANG ET AL.: HOW GOOD ARE DETECTION PROPOSALS, REALLY?
+How good are detection proposals, really?
+Jan Hosang
+http://mpi-inf.mpg.de/~jhosang
+Rodrigo Benenson
+http://mpi-inf.mpg.de/~benenson
+Bernt Schiele
+http://mpi-inf.mpg.de/~schiele
+MPI Informatics
+Saarbrücken, Germany"

+674fcadf1b895e3a79380d3ac5afb43d406fd31a,Facial Asymmetry Assessment from 3D Shape Sequences: The Clinical Case of Facial Paralysis,

+675b2caee111cb6aa7404b4d6aa371314bf0e647,AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions,"AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions
+Chunhui Gu∗
+Yeqing Li∗
+Chen Sun∗
+David A. Ross∗
+Sudheendra Vijayanarasimhan∗
+Carl Vondrick∗
+George Toderici∗
+Caroline Pantofaru∗
+Susanna Ricco∗
+Rahul Sukthankar∗
+Cordelia Schmid† ∗
+Jitendra Malik‡ ∗"

+67dca0d4b87ab2a4f18b5a1ef76f6ba17b599245,Top-Down Regularization of Deep Belief Networks,"Top-Down Regularization of Deep Belief Networks
+Hanlin Goh∗, Nicolas Thome, Matthieu Cord
+Laboratoire d’Informatique de Paris 6
+UPMC – Sorbonne Universit´es, Paris, France
+Joo-Hwee Lim†
+Institute for Infocomm Research
+A*STAR, Singapore"

+67a56dd94906a5460c263e1a1b87fa3a52c4b453,Face Analysis by Local Directional Number Pattern,"International Journal of Engineering Research and General Science Volume 3, Issue 1,  January-February, 2015
+ISSN 2091-2730
+FACE ANALYSIS BY LOCAL DIRECTIONAL NUMBER PATTERN
+Manjunatha S B, Guruprasad A M, Vineesh P
+Coorg Institute of Technology, Ponnampet, Coorg-District, Karnataka, 9611962024"

+67f88f37e4853b870debef2bd29b257b5b19f255,EgoSampling: Wide View Hyperlapse from Single and Multiple Egocentric Videos,"EgoSampling: Wide View Hyperlapse from
+Single and Multiple Egocentric Videos
+Tavi Halperin Yair Poleg Chetan Arora Shmuel Peleg"

+67484723e0c2cbeb936b2e863710385bdc7d5368,Anchor Cascade for Efficient Face Detection,"Anchor Cascade for Efficient Face Detection
+Baosheng Yu and Dacheng Tao, Fellow, IEEE"

+678b367b2d5250f278c994238bbf816098252d9d,IrisDenseNet: Robust Iris Segmentation Using Densely Connected Fully Convolutional Networks in the Images by Visible Light and Near-Infrared Light Camera Sensors,"Article
+IrisDenseNet: Robust Iris Segmentation Using
+Densely Connected Fully Convolutional Networks in
+the Images by Visible Light and Near-Infrared Light
+Camera Sensors
+Muhammad Arsalan, Rizwan Ali Naqvi, Dong Seop Kim, Phong Ha Nguyen, Muhammad Owais
+nd Kang Ryoung Park *
+Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu,
+Seoul 100-715, Korea; (M.A.); (R.A.N.);
+(D.S.K.); (P.H.N.); (M.O.)
+* Correspondence: Tel.: +82-10-3111-7022; Fax: +82-2-2277-8735
+Received: 2 April 2018; Accepted: 8 May 2018; Published: 10 May 2018"

+670637d0303a863c1548d5b19f705860a23e285c,Face swapping: automatically replacing faces in photographs,"Face Swapping: Automatically Replacing Faces in Photographs
+Dmitri Bitouk
+Neeraj Kumar
+Samreen Dhillon∗
+Columbia University†
+Peter Belhumeur
+Shree K. Nayar
+Figure 1: We have developed a system that automatically replaces faces in an input image with ones selected from a large collection of
+face images, obtained by applying face detection to publicly available photographs on the internet. In this example, the faces of (a) two
+people are shown after (b) automatic replacement with the top three ranked candidates. Our system for face replacement can be used for face
+de-identification, personalized face replacement, and creating an appealing group photograph from a set of “burst” mode images. Original
+images in (a) used with permission from Retna Ltd. (top) and Getty Images Inc. (bottom).
+Rendering, Computational Photography
+Introduction
+Advances in digital photography have made it possible to cap-
+ture large collections of high-resolution images and share them
+on the internet. While the size and availability of these col-
+lections is leading to many exciting new applications,
+lso creating new problems. One of the most
+important of"

+6742c0a26315d7354ab6b1fa62a5fffaea06da14,What does 2D geometric information really tell us about 3D face shape?,"BAS AND SMITH: WHAT DOES 2D GEOMETRIC INFORMATION REALLY TELL US ABOUT 3D FACE SHAPE?
+What does 2D geometric information
+really tell us about 3D face shape?
+Anil Bas and William A. P. Smith, Member, IEEE"

+6775c818b26263c885b0ce85c224dfd942c9652e,Pedestrian and Object Detection Using Learned Convolutional Filters,"U.P.B. Sci. Bull., Series C, Vol. 77, Iss. 2, 2015
+ISSN 2286-3540
+PEDESTRIAN AND OBJECT DETECTION USING LEARNED
+CONVOLUTIONAL FILTERS
+Anamaria R ˘ADOI1 , Dan Alexandru STOICHESCU2
+Object detection is still a very active field in Computer Vision. Until now, part
+ased models proved to be one of the most interesting and successful approaches
+in object and pedestrian detection. The method applies a machine learning ap-
+proach not to the input images themselves, but to histograms of gradients. How-
+ever, its performances are still limited when compared to what humans can do.
+The purpose of the present paper is to show that sparse representations can be
+successfully used in object detection. The main advantage of using this method is
+related to the possibility of learning only those filters that are able to express the
+most frequent patterns that appear in the analyzed images. The experiments are
+arried out on two widely used datasets, namely VOC2007 and INRIA Person.
+Keywords: learned filterbanks, stochastic gradient descent, pedestrian detection,
+object detection, Histogram of Oriented Gradients.
+. Introduction
+Object detection is a major challenge for many areas of research, starting
+from medicine and going to applications such as street surveillance or video appli-"

+67bee729d046662c6ebd9d3d695823c9d820343a,Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus,"Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, pages 588–598,
+Berlin, Germany, August 7-12, 2016. c(cid:13)2016 Association for Computational Linguistics"

+67c703a864aab47eba80b94d1935e6d244e00bcb,Face Retrieval Based On Local Binary Pattern and Its Variants: A Comprehensive Study,"(IJACSA) International Journal of Advanced Computer Science and Applications
+Vol. 7, No. 6, 2016
+Face Retrieval Based On Local Binary Pattern and Its
+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,"

+6752b59da83c03e64c73f9248a67304713b6efa9,Chapter 3 Re - identification by Covariance Descriptors,"Chapter 3
+Re-identification by Covariance Descriptors
+Sławomir B ˛ak and François Brémond"

+67c30688bd46d305c610a83a0b28e86e10ef5cc4,Ship Detection in Harbour Surveillance based on Large-Scale Data and CNNs,

+67e00f7e928e6eab0faf1917252778b36bf64e39,Sparse radial sampling LBP for writer identification,"Sparse Radial Sampling LBP for Writer
+Identification
+Anguelos Nicolaou∗, Andrew D. Bagdanov∗, Marcus Liwicki†, and Dimosthenis Karatzas∗
+Computer Vision Center, Edifici O, Universitad Autonoma de Barcelona,Bellaterra, Spain
+DIVA research group, Department of Informatics, University of Fribourg, Switzerland
+Email:"

+6737a429dd615a0d9ac78d836c6b65bfd9ec36e8,Image Classification by Transfer Learning Based on the Predictive Ability of Each Attribute,"Image Classification by Transfer Learning Based
+on the Predictive Ability of Each Attribute
+Masahiro Suzuki, Haruhiko Sato, Satoshi Oyama, and Masahito Kurihara"

+6757254d27b761ada5dbd88642bd0112fcb962cf,Gait Recognition Using Wearable Motion Recording Sensors,"Hindawi Publishing Corporation
+EURASIP Journal on Advances in Signal Processing
+Volume 2009, Article ID 415817, 16 pages
+doi:10.1155/2009/415817
+Research Article
+Gait Recognition Using Wearable Motion Recording Sensors
+Davrondzhon Gafurov and Einar Snekkenes
+Norwegian Information Security Laboratory, Gjøvik University College, P.O. Box 191, 2802 Gjøvik, Norway
+Correspondence should be addressed to Davrondzhon Gafurov,
+Received 1 October 2008; Revised 26 January 2009; Accepted 26 April 2009
+Recommended by Natalia A. Schmid
+This paper presents an alternative approach, where gait is collected by the sensors attached to the person’s body. Such wearable
+sensors record motion (e.g. acceleration) of the body parts during walking. The recorded motion signals are then investigated for
+person recognition purposes. We analyzed acceleration signals from the foot, hip, pocket and arm. Applying various methods,
+the best EER obtained for foot-, pocket-, arm- and hip- based user authentication were 5%, 7%, 10% and 13%, respectively.
+Furthermore, we present the results of our analysis on security assessment of gait. Studying gait-based user authentication (in case
+of hip motion) under three attack scenarios, we revealed that a minimal effort mimicking does not help to improve the acceptance
+hances of impostors. However, impostors who know their closest person in the database or the genders of the users can be a
+threat to gait-based authentication. We also provide some new insights toward the uniqueness of gait in case of foot motion. In
+particular, we revealed the following: a sideway motion of the foot provides the most discrimination, compared to an up-down or"

+67fd4f209aa6e8359fc86bdc12c62bbdb0529077,Scalable Nearest Neighbor Algorithms for High Dimensional Data,"Scalable Nearest Neighbor Algorithms
+for High Dimensional Data
+Marius Muja, Member, IEEE and David G. Lowe, Member, IEEE"

+67ba3524e135c1375c74fe53ebb03684754aae56,A compact pairwise trajectory representation for action recognition,"978-1-5090-4117-6/17/$31.00 ©2017 IEEE
+ICASSP 2017"

+679136c2844eeddca34e98e483aca1ff6ef5e902,Scene-Specific Pedestrian Detection Based on Parallel Vision,"Scene-Specific Pedestrian Detection Based on
+Parallel Vision
+Wenwen Zhang, Kunfeng Wang, Member, IEEE, Hua Qu, Jihong Zhao, and Fei-Yue Wang, Fellow, IEEE"

+676c76c4e3ac2f91a2209ecdae8d20be4de7c9c0,Performance of Gabor mean Feature Extraction Techniques for Ear Biometrics Recognition System,"International Journal of Computer Applications (0975 – 8887)
+Volume 168 – No.12, June 2017
+Performance of Gabor mean Feature Extraction
+Techniques for Ear Biometrics Recognition System
+Bhanu Vadhwani
+Rajasthan College of Engg.
+for Women, India
+Vineet Khanna
+JaipuRajasthan College of
+Engg. for Women
+Shubhlakshmi Agarwal
+The ICFAI University, Jaipur, India
+Sandeep Kumar Gupta
+Machine Learning Research
+Lab, Jaipur, India"

+67751b7ce7f934ffadcf095f4189b31f890e9fdc,Pilot Comparative Study of Different Deep Features for Palmprint Identification in Low-Quality Images,"Ninth Hungarian Conference on Computer Graphics and Geometry, Budapest, 2018
+Pilot Comparative Study of Different Deep Features
+for Palmprint Identification in Low-Quality Images
+A.S. Tarawneh1, D. Chetverikov1,2 and A.B. Hassanat3
+Eötvös Loránd University, Budapest, Hungary
+Institute for Computer Science and Control, Budapest, Hungary
+Mutah University, Karak, Jordan"

+6769cfbd85329e4815bb1332b118b01119975a95,Tied factor analysis for face recognition across large pose changes,"Tied factor analysis for face recognition across
+large pose changes"

+0b4189d874ee67f259a1a366ac93740d500064a5,Single-Shot Multi-person 3D Pose Estimation from Monocular RGB,"Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB
+Dushyant Mehta[1,2], Oleksandr Sotnychenko[1,2], Franziska Mueller[1,2],
+Weipeng Xu[1,2], Srinath Sridhar[3], Gerard Pons-Moll[1,2], Christian Theobalt[1,2]
+[1] MPI For Informatics
+[2] Saarland Informatics Campus
+[3] Stanford University"

+0be43cf4299ce2067a0435798ef4ca2fbd255901,Title A temporal latent topic model for facial expression recognition,"Title
+A temporal latent topic model for facial expression recognition
+Author(s)
+Shang, L; Chan, KP
+Citation
+The 10th Asian Conference on Computer Vision (ACCV 2010),
+Queenstown, New Zealand, 8-12 November 2010. In Lecture
+Notes in Computer Science, 2010, v. 6495, p. 51-63
+Issued Date
+http://hdl.handle.net/10722/142604
+Rights
+Creative Commons: Attribution 3.0 Hong Kong License"

+0b6bd0a6f396e1479dc30318102bf49c12959783,Face Recognition Using Local Binary Decisions,"Face recognition using local binary decisions
+Author
+James, Alex, Dimitrijev, Sima
+Published
+Journal Title
+https://doi.org/10.1109/LSP.2008.2006339
+Copyright Statement
+© 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be
+obtained for all other uses, in any current or future media, including reprinting/republishing this
+material for advertising or promotional purposes, creating new collective works, for resale or
+redistribution to servers or lists, or reuse of any copyrighted component of this work in other
+works.
+Downloaded from
+http://hdl.handle.net/10072/23556
+Griffith Research Online
+https://research-repository.griffith.edu.au"

+0b2277a0609565c30a8ee3e7e193ce7f79ab48b0,Cost-Sensitive Semi-Supervised Discriminant Analysis for Face Recognition,"Cost-Sensitive Semi-Supervised Discriminant
+Analysis for Face Recognition
+Jiwen Lu, Member, IEEE, Xiuzhuang Zhou, Member, IEEE, Yap-Peng Tan, Senior Member, IEEE,
+Yuanyuan Shang, Member, IEEE, and Jie Zhou, Senior Member, IEEE"

+0b2c543e0c47454c4512569175094e6cb6ae02a9,The VizWiz Grand Challenge: A Large Visual Question Answering Dataset from Blind People,"#1687
+CVPR 2016 Submission #1687. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
+The VizWiz Grand Challenge:
+A Large Visual Question Answering Dataset from Blind People
+Anonymous CVPR submission
+Paper ID 1687"

+0b57eb772ad9129ea4011c7fcb16c57967409018,“A Distorted Skull Lies in the Bottom Center...” Identifying Paintings from Text Descriptions,"Proceedings of 2016 NAACL Human-Computer Question Answering Workshop, pages 43–47,
+San Diego, California, June 12-17, 2016. c(cid:13)2016 Association for Computational Linguistics"

+0b0b0d9b15613a6e3c4f9a4dd1c17c0313ca4303,Evaluation of 3D Face Recognition in the presence of facial expressions: an Annotated Deformable Model approach,"D face recognition
+in the presence of facial expressions:
+An annotated deformable model approach
+I.A. Kakadiaris, Member, IEEE, G. Passalis, G. Toderici, N. Murtuza, Y. Lu,
+N. Karampatziakis, and T. Theoharis
+August 15, 2006
+DRAFT"

+0b9ce839b3c77762fff947e60a0eb7ebbf261e84,Logarithmic Fourier Pca: a New Approach to Face Recognition,"Proceedings of the IASTED International Conference
+Computer Vision (CV 2011)
+June 1 - 3, 2011  Vancouver, BC, Canada
+LOGARITHMIC FOURIER PCA: A NEW APPROACH TO FACE
+RECOGNITION
+Lakshmiprabha  Nattamai  Sekar,
+Jhilik Bhattacharya,
+omjyoti
+Majumder
+Surface Robotics Lab
+Central Mechanical Engineering Research Institute
+Mahatma Gandhi Avenue,
+Durgapur - 713209, West Bengal, India.
+email: 1 n prabha 2 3"

+0bcd89b356dc78aaf3573086f13e94b8e7b5bee6,Comparative Testing of Face Detection Algorithms,"Comparative Testing of Face Detection
+Algorithms⋆
+Nikolay Degtyarev and Oleg Seredin
+Tula State University
+http://lda.tsu.tula.ru"

+0bf26d2fd1b375f50c0a6bef086f09f7698c3156,Predicting Entry-Level Categories,"Noname manuscript No.
+(will be inserted by the editor)
+Predicting Entry-Level Categories
+Vicente Ordonez · Wei Liu · Jia Deng · Yejin Choi ·
+Alexander C. Berg · Tamara L. Berg
+Received: date / Accepted: date"

+0b278c9dc9b16b46ed602eab884ad7a37a988031,Robust Face-Name Graph Matching for Movie Character Identification,"International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Index Copernicus Value (2015): 78.96 | Impact Factor (2015): 6.391
+Robust Face-Name Graph Matching for Movie
+Character Identification
+Jonnadula Narasimha1, S Nishanth Kumar2, Chiluka Shiva Kumar3, D Vamshi Krishna Rao4
+Associate Professor, Department of Computer Science and Engineering, CMR Technical Campus,
+Medchal, Hyderabad, Telangana, India
+, 3, 4Department of Computer Science and Engineering, CMR Technical Campus, Medchal, Hyderabad, Telangana, India"

+0b6a5200c33434cbfa9bf24ba482f6e06bf5fff7,"The use of deep learning in image segmentation, classification and detection","The Use of Deep Learning in Image
+Segmentation, Classification and Detection
+Mihai-Sorin Badea, Iulian-Ionuț Felea, Laura Maria Florea, Constantin Vertan
+The Image Processing and Analysis Lab (LAPI), Politehnica University of Bucharest, Romania"

+0b605b40d4fef23baa5d21ead11f522d7af1df06,Label-Embedding for Attribute-Based Classification,"Label-Embedding for Attribute-Based Classification
+Zeynep Akataa,b, Florent Perronnina, Zaid Harchaouib and Cordelia Schmidb
+Computer Vision Group∗, XRCE, France
+LEAR†, INRIA, France"

+0b61cad6ae6e7ab99f2e3c187bd8530da71f10ae,Gameplay Genre Video Classification by Using Mid-Level Video Representation,"Gameplay genre video classification by using
+mid-level video representation
+Renato Augusto de Souza‡, Raquel Pereira de Almeida‡, Arghir-Nicolae Moldovan∗,
+Zenilton Kleber G. do Patrocínio Jr.‡, Silvio Jamil F. Guimarães‡
+Audio-Visual Information Proc. Lab. (VIPLAB)
+Computer Science Department – ICEI – PUC Minas
+School of Computing, National College of Ireland, Dublin, Ireland
+named GameGenre, consists of 700 videos (more than 116
+hours), classified into 7 game genres."

+0b0535fbdc468d1fd6ff32545a717a8af14f634f,The Discriminative Generalized Hough Transform as a Proposal Generator for a Deep Network in Automatic Pedestrian Localization,

+0b0eb562d7341231c3f82a65cf51943194add0bb,Line with Your Paper Identification Number ( Double - Click Here to Edit,"> REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) <
+Facial Image Analysis Based on Local Binary
+Patterns: A Survey
+Di Huang, Caifeng Shan, Mohsen Ardebilian, Liming Chen"

+0b3a146c474166bba71e645452b3a8276ac05998,Whos In the Picture,"Who’s in the Picture?
+Tamara L. Berg, Alexander C. Berg, Jaety Edwards and D.A. Forsyth
+Berkeley, CA 94720
+Computer Science Division
+U.C. Berkeley"

+0b937abb3b356a2932d804f9fc4b463485f63d0e,Visual word disambiguation by semantic contexts,"Visual word disambiguation by semantic contexts
+Yu Su, Frédéric Jurie
+To cite this version:
+Yu Su, Frédéric Jurie. Visual word disambiguation by semantic contexts. IEEE Intenational Confer-
+ence on Computer Vision (ICCV), 2011, Spain. pp.311-318, 2011, <10.1109/ICCV.2011.6126257>.
+<hal-00808655>
+HAL Id: hal-00808655
+https://hal.archives-ouvertes.fr/hal-00808655
+Submitted on 5 Apr 2013
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de
+recherche français ou étrangers, des laboratoires"

+0b6f810f287561ff694a9406c7b319fd8549ca68,Face Recognition Based on Texture Features using Local Ternary Patterns,"I.J. Image, Graphics and Signal Processing, 2015, 10, 37-46
+Published Online September 2015 in MECS (http://www.mecs-press.org/)
+DOI: 10.5815/ijigsp.2015.10.05
+Face Recognition Based on Texture Features
+using Local Ternary Patterns
+Associate Professor, Dept. of CSE, BVRIT Hyderabad College of Engineering for Women, Hyderabad, T.S., India.
+K. Srinivasa Reddy
+Director-CACR, Dean-Computer Sciences (CSE & IT), Anurag Group of Institutions, Hyderabad, T.S., India.
+Email:
+V. Vijaya Kumar
+Email:
+B. Eswara Reddy
+Professor, Dept. of CSE, JNTUA, Ananthapuram, A.P., India.
+Email:"

+0bb574ad77f55f395450b4a9f863ecfdd4880bcd,Learning the Base Distribution in Implicit Generative Models,"Learning the Base Distribution in Implicit Generative Models
+Y. Cem Subakan(cid:91), Oluwasanmi Koyejo(cid:91), Paris Smaragdis(cid:91),(cid:93)
+(cid:91)UIUC, (cid:93)Adobe Inc."

+0b0958493e43ca9c131315bcfb9a171d52ecbb8a,A Unified Neural Based Model for Structured Output Problems,"A Unified Neural Based Model for Structured Output Problems
+Soufiane Belharbi∗1, Cl´ement Chatelain∗1, Romain H´erault∗1, and S´ebastien Adam∗2
+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"

+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
+from In-the-wild Images
+Luan Tran, and Xiaoming Liu, Member, IEEE"

+0b174d4a67805b8796bfe86cd69a967d357ba9b6,A Survey on Face Detection and Recognition Approaches,"Research Journal of Recent Sciences _________________________________________________ ISSN 2277-2502
+Vol. 3(4), 56-62, April (2014)
+Res.J.Recent Sci."

+0ba6f4fb548d8289fb42d68ac64d55f9e3a274ca,Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation,"Auto-context and Its Application to High-level Vision Tasks
+nd 3D Brain Image Segmentation
+Lab of Neuro Imaging, University of California, Los Angeles
+Zhuowen Tu and Xiang Bai
+July 9, 2009"

+0b87d91fbda61cdea79a4b4dcdcb6d579f063884,Research on Theory and Method for Facial Expression Recognition Sys- tem Based on Dynamic Image Sequence,"The Open Automation and Control Systems Journal, 2015, 7, 569-579
+Open Access
+Research  on  Theory  and  Method  for  Facial  Expression  Recognition  Sys-
+tem Based on Dynamic Image Sequence
+Send Orders for Reprints to
+Yang Xinfeng1,* and Jiang Shan2
+School  of  Computer  &  Information  Engineering,  Nanyang  Institute  of  Technology,  Henan,  Nanyang,  473000,  P.R.
+China
+Henan University of Traditional Chinese Medicine, Henan, Zhengzhou, 450000, P.R. China"

+0b24cca96ca61248a3fa3973525a967f94292835,Two Novel Face Recognition Approaches,"We are IntechOpen,
+the world’s leading publisher of
+Open Access books
+Built by scientists, for scientists
+,800
+16,000
+Open access books available
+International  authors and editors
+Downloads
+Our authors are among the
+Countries delivered to
+TOP 1%
+2.2%
+most cited scientists
+Contributors from top 500 universities
+Selection of our books indexed in the Book Citation Index
+in Web of Science™ Core Collection (BKCI)
+Interested in publishing with us?
+Contact
+Numbers displayed above are based on latest data collected."

+0b70facac4d10c7c73e7fdf3a85848ce429d98ab,"Segmentation features, visibility modeling and shared parts for object detection","Segmentation Features, Visibility Modeling and
+Shared Parts for Object Detection
+Patrick Ott
+Submitted in accordance with the requirements
+for the degree of Doctor of Philosophy.
+The University of Leeds
+School of Computing
+February 2012
+The candidate confirms that the work submitted is his own and that the appropriate
+redit has been given where reference has been made to the work of others.
+This copy has been supplied on the understanding that it is copyright material
+nd that no quotation from the thesis may be published without proper
+cknowledgment."

+0b79356e58a0df1d0efcf428d0c7c4651afa140d,Bayesian Modeling of Facial Similarity,"Appears In: Advances in Neural Information Processing Systems 

, MIT Press, 
			.
+Bayesian Modeling of Facial Similarity
+Baback Moghaddam
+Mitsubishi Electric Research Laboratory
+
+Cambridge, MA 
+Tony Jebara and Alex Pentland
+Massachusettes Institute of Technology
+
+Cambridge, MA 
+0b572a2b7052b15c8599dbb17d59ff4f02838ff7,Automatic Subspace Learning via Principal Coefficients Embedding,"Automatic Subspace Learning via Principal
+Coefficients Embedding
+Xi Peng, Jiwen Lu, Senior Member, IEEE, Zhang Yi, Fellow, IEEE and Rui Yan, Member, IEEE,"

+0bc9f1749e23b37ea5b5588c5bfe23879174d343,Pythia v0.1: the Winning Entry to the VQA Challenge 2018,"Pythia v0.1: the Winning Entry to the VQA Challenge 2018
+Yu Jiang∗, Vivek Natarajan∗, Xinlei Chen∗, Marcus Rohrbach, Dhruv Batra, Devi Parikh
+Facebook AI Research"

+0b888196dda951287dddb60bd44798aab16d6fca,Learning Common Sense through Visual Abstraction,

+0ba544ff0d837ba5279b03eb91246d00f2c78817,Direct Prediction of 3D Body Poses from Motion Compensated Sequences,"Direct Prediction of 3D Body Poses from Motion Compensated Sequences
+Bugra Tekin1
+Artem Rozantsev1
+Vincent Lepetit1,2
+Pascal Fua1
+CVLab, EPFL, Lausanne, Switzerland,
+TU Graz, Graz, Austria,"

+0bc7d8e269a8c8018a7cb120ff25adf02d45c7ed,Exploiting Dissimilarity Representations for Person Re-identification,"Exploiting Dissimilarity Representations for
+Person Re-Identification
+Riccardo Satta, Giorgio Fumera, and Fabio Roli
+Dept. of Electrical and Electronic Engineering, University of Cagliari
+Piazza d’Armi, 09123 Cagliari, Italy"

+0b02bfa5f3a238716a83aebceb0e75d22c549975,Learning Probabilistic Models for Recognizing Faces under Pose Variations,"Learning Probabilistic Models for Recognizing Faces
+under Pose Variations
+M. Saquib Sarfraz and Olaf Hellwich
+Computer vision and Remote Sensing, Berlin university of Technology
+Sekr. FR-3-1, Franklinstr. 28/29, Berlin, Germany"

+0beaf17d42b1171dd245131825d2de67000f45ac,Expert Gate: Lifelong Learning with a Network of Experts,"Expert Gate: Lifelong Learning with a Network of Experts
+Rahaf Aljundi
+Punarjay Chakravarty
+Tinne Tuytelaars
+KU Leuven, ESAT-PSI, iMinds, Belgium
+{rahaf.aljundi, Punarjay.Chakravarty,"

+0bce54bfbd8119c73eb431559fc6ffbba741e6aa,Recurrent Neural Networks,"Published as a conference paper at ICLR 2018
+SKIP RNN: LEARNING TO SKIP STATE UPDATES IN
+RECURRENT NEURAL NETWORKS
+V´ıctor Campos∗†, Brendan Jou‡, Xavier Gir´o-i-Nieto§, Jordi Torres†, Shih-Fu ChangΓ
+Barcelona Supercomputing Center, ‡Google Inc,
+§Universitat Polit`ecnica de Catalunya, ΓColumbia University
+{victor.campos,"

+0b19177107a102ee81e5ef1bb9fb2f2881441503,Comparing Robustness of Pairwise and Multiclass Neural-Network Systems for Face Recognition,"Hindawi Publishing Corporation
+EURASIP Journal on Advances in Signal Processing
+Volume 2008, Article ID 468693, 7 pages
+doi:10.1155/2008/468693
+Research Article
+Comparing Robustness of Pairwise and Multiclass
+Neural-Network Systems for Face Recognition
+J. Uglov, L. Jakaite, V. Schetinin, and C. Maple
+Computing and Information System Department, University of Bedfordshire, Luton LU1 3JU, UK
+Correspondence should be addressed to V. Schetinin,
+Received 16 June 2007; Revised 28 August 2007; Accepted 19 November 2007
+Recommended by Konstantinos N. Plataniotis
+Noise, corruptions, and variations in face images can seriously hurt the performance of face-recognition systems. To make these
+systems robust to noise and corruptions in image data, multiclass neural networks capable of learning from noisy data have been
+suggested. However on large face datasets such systems cannot provide the robustness at a high level. In this paper, we explore a
+pairwise neural-network system as an alternative approach to improve the robustness of face recognition. In our experiments, the
+pairwise recognition system is shown to outperform the multiclass-recognition system in terms of the predictive accuracy on the
+test face images.
+Copyright © 2008 J. Uglov et al. This is an open access article distributed under the Creative Commons Attribution License, which
+permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited."

+0b1cf351a4a6758606bea32d29c7d529e79ab7ce,Fake Face Detection System Using Pupil Reflection 양재준,"한국지능시스템학회  논문지  2010,  Vol.  20,  No.  5,  pp.  645-651
+동공의  반사특징을  이용한  얼굴위조판별  시스템
+Fake  Face  Detection  System  Using  Pupil  Reflection
+양재준*․조성원*․정선태**
+JaeJun  Yang,  Seongwon  Cho  and  Sun-Tae  Chung
+*  홍익대학교  전기정보제어공학과
+**숭실대학교  정보통신전자공학부
+최근  지능형  범죄가  늘면서  첨단  보안  기술에  대한  요구가  점차  늘어나고  있다.  현재까지  보고된  위조영상검출방법은  실용
+화를  위하여  정확도  개선이  요구된다.  본  논문에서는  사람의  얼굴에  대하여  동공의  반사광을  이용한  얼굴위조판별  시스템
+을  제안한다.  제안된  시스템은  먼저  다중  스케일  가버특징  벡터를  기반으로  눈의  위치를  찾은  후  2단계의  템플릿  매칭을
+통해서  설정된  적용범위를  벗어나는  눈에  대하여  위조판별을  고려하지  않음으로써  정확도를  높이는  방법을  사용한다.  신뢰
+도가  확보된  눈의  위치를  기반으로  적외선  조명에  반사되는  동공의  특징을  이용하여  눈위치  근처에서의
+화소값을  계산하
+여  위조  여부를  판단한다.  실험을  통하여  본  논문에서  제안한  방법이  더욱  신뢰성  높은  위조판별시스템임을  확인하였다.
+키워드  :  변조영상  검출,  얼굴  검출,  EBGM,  템플릿  매칭,  얼굴  식별"

+0b8ef6f5ec5dfc3eded5241fd3d636a596b94d26,Stereological analysis of amygdala neuron number in autism.,"7674 • The Journal of Neuroscience, July 19, 2006 • 26(29):7674 –7679
+Neurobiology of Disease
+Stereological Analysis of Amygdala Neuron Number
+in Autism
+Cynthia Mills Schumann and David G. Amaral
+Department of Psychiatry and Behavioral Sciences and The M.I.N.D. Institute, University of California, Davis, Sacramento, California 95817
+The amygdala is one of several brain regions suspected to be pathological in autism. Previously, we found that young children with autism
+have a larger amygdala than typically developing children. Past qualitative observations of the autistic brain suggest increased cell density
+in some nuclei of the postmortem autistic amygdala. In this first, quantitative stereological study of the autistic brain, we counted and
+measured neurons in several amygdala subdivisions of 9 autism male brains and 10 age-matched male control brains. Cases with
+omorbid seizure disorder were excluded from the study. The amygdaloid complex was outlined on coronal sections then partitioned into
+five reliably defined subdivisions: (1) lateral nucleus, (2) basal nucleus, (3) accessory basal nucleus, (4) central nucleus, and (5) remaining
+nuclei. There is no difference in overall volume of the amygdala or in individual subdivisions. There are also no changes in cell size.
+However, there are significantly fewer neurons in the autistic amygdala overall and in its lateral nucleus. In conjunction with the findings
+from previous magnetic resonance imaging studies, the autistic amygdala appears to undergo an abnormal pattern of postnatal devel-
+opment that includes early enlargement and ultimately a reduced number of neurons. It will be important to determine in future studies
+whether neuron loss in the amygdala is a consistent characteristic of autism and whether cell loss occurs in other brain regions as well.
+Key words: autism; neuropathology; stereology; neuronal density; medial temporal lobe; neuroanatomy; amygdaloid complex
+Introduction
+Autism is a lifelong neurodevelopmental disorder characterized"

+0bdd8f824fa4d4e770e34268a78dca12fb6a135b,Compact Hash Codes for Efficient Visual Descriptors Retrieval in Large Scale Databases,"Compact Hash Codes for Efficient Visual Descriptors
+Retrieval in Large Scale Databases
+Simone Ercoli, Marco Bertini and Alberto Del Bimbo
+Media Integration and Communication Center, Università degli Studi di Firenze
+Viale Morgagni 65 - 50134 Firenze, Italy"

+0bdfc21178347ed4f137d4c7d0ba14c996c66b6e,Automated X-Ray Object Recognition Using an Efficient Search Algorithm in Multiple Views,"Automated X-ray object recognition using
+n efficient search algorithm in multiple views
+Domingo Mery, Vladimir Riffo, Irene Zuccar, Christian Pieringer
+Department of Computer Science – Pontificia Universidad Cat´olica de Chile
+Av. Vicu˜na Mackenna 4860(143) – Santiago de Chile
+http://dmery.ing.puc.cl"

+0b4c4ea4a133b9eab46b217e22bda4d9d13559e6,MORF: Multi-Objective Random Forests for face characteristic estimation,"MORF: Multi-Objective Random Forests for Face Characteristic Estimation
+Dario Di Fina1
+MICC - University of Florence
+Svebor Karaman1,3
+Andrew D. Bagdanov2
+{dario.difina,
+CVC - Universitat Autonoma de Barcelona
+Alberto Del Bimbo1
+DVMM Lab - Columbia University"

+0b9db62b26b811e8c24eb9edc37901a4b79a897f,Structured Face Hallucination,"Structured Face Hallucination
+Chih-Yuan Yang Sifei Liu Ming-Hsuan Yang
+Electrical Engineering and Computer Science
+University of California at Merced
+{cyang35, sliu32,"

+0b6c10ea6bf8a6c254e00fcc2163c4b6fc0f1c3a,"Anti-Spoofing for Text-Independent Speaker Verification: An Initial Database, Comparison of Countermeasures, and Human Performance","Anti-Spoofing for Text-Independent Speaker Verification: An
+Initial Database, Comparison of Countermeasures, and Human
+Performance
+Citation for published version:
+Wu, Z, De Leon, P, Demiroglu, C, Khodabakhsh, A, King, S, Ling, Z, Saito, D, Stewart, B, Toda, T, Wester,
+M & Yamagishi, J 2016, 'Anti-Spoofing for Text-Independent Speaker Verification: An Initial Database,
+Comparison of Countermeasures, and Human Performance'  IEEE/ACM Transactions on Audio, Speech,
+nd Language Processing, vol. 24, no. 4, pp. 768 - 783. DOI: 10.1109/TASLP.2016.2526653
+Digital Object Identifier (DOI):
+0.1109/TASLP.2016.2526653
+Link:
+Link to publication record in Edinburgh Research Explorer
+Document Version:
+Peer reviewed version
+Published In:
+General rights
+Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s)
+nd / or other copyright owners and it is a condition of accessing these publications that users recognise and
+bide by the legal requirements associated with these rights.
+Take down policy"

+0b4d3e59a0107f0dad22e74054bab1cf1ad9c32e,Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations,"Int J Comput Vis
+DOI 10.1007/s11263-016-0981-7
+Visual Genome: Connecting Language and Vision Using
+Crowdsourced Dense Image Annotations
+· Yuke Zhu1 · Oliver Groth2 · Justin Johnson1 · Kenji Hata1 ·
+Ranjay Krishna1
+Joshua Kravitz1 · Stephanie Chen1 · Yannis Kalantidis3 · Li-Jia Li4 ·
+David A. Shamma5 · Michael S. Bernstein1 · Li Fei-Fei1
+Received: 23 February 2016 / Accepted: 12 September 2016
+© The Author(s) 2017. This article is published with open access at Springerlink.com"

+0b2d49cb2d2de06b022e2c636e337d294171dc22,New features and insights for pedestrian detection,"New Features and Insights for Pedestrian Detection
+Stefan Walk1 Nikodem Majer1 Konrad Schindler1 Bernt Schiele1,2
+Computer Science Department, TU Darmstadt
+MPI Informatics, Saarbr¨ucken"

+0bf2765d431c16de7b8f9c644684e69fa52598eb,Integrating Remote PPG in Facial Expression Analysis Framework,"Integrating Remote PPG in Facial Expression Analysis
+Framework
+H. Emrah Tasli
+Marten den Uyl
+Vicarious Perception Technologies, Amsterdam, The Netherlands
+Amogh Gudi"

+0b8c92463f8f5087696681fb62dad003c308ebe2,On matching sketches with digital face images,"On Matching Sketches with Digital Face Images
+Himanshu S. Bhatt, Samarth Bharadwaj, Richa Singh, and Mayank Vatsa
+in local"

+0bc0f9178999e5c2f23a45325fa50300961e0226,Recognizing facial expressions from videos using Deep Belief Networks,"Recognizing facial expressions from videos using Deep
+Belief Networks
+CS 229 Project
+Advisor: Prof. Andrew Ng
+Adithya Rao Narendran Thiagarajan"

+0babc4af06d210cf38bdf8324c339b6cf3f424fa,A Predictive Model of Patient Readmission Using Combined ICD-9 Codes as Engineered Features,"A Predictive Model of Patient Readmission Using Combined ICD-9
+Codes as Engineered Features"

+0b5c3cf7c8c643cb09d55a08b15de22e134081be,Online Tracking and Offline Recognition Using Scale Invariant Feature Transform,"IJMTES | International Journal of Modern Trends in Engineering and Science                                         ISSN: 2348-3121
+Online Tracking and Offline Recognition Using Scale
+Invariant Feature Transform
+A. Bahmidha Banu1; Dr. V. Venkatesa kumar2
+PG Scholar, Department of CSE, Anna University Regional Centre, Tamilnadu,
+Assistant Professor, Department of CSE, Anna University Regional Centre, , Tamilnadu,
+________________________________________________________________________________________________________"

+0bfabcf5c74cc17fe8b5777093699789411868b9,Predictive Tagging of Social Media Images using Unsupervised Learning,"International Journal of Computer Applications (0975 – 8887)
+Volume 65– No.24, March 2013
+Predictive Tagging of Social Media Images using
+Unsupervised Learning
+Nishchol Mishra
+Asstt. Professor
+School of IT
+RGPV, Bhopal
+India
+Sanjay Silakari, PhD.
+Professor, Deptt. Of CSE
+UIT- RGPV
+Bhopal
+India"

+0bc82ec532228427a497ac47391d524e3b4537ae,Fluid Annotation: A Human-Machine Collaboration Interface for Full Image Annotation,"Fluid Annotation: A Human-Machine Collaboration Interface
+for Full Image Annotation
+Mykhaylo Andriluka∗
+Jasper R. R. Uijlings∗
+Google Research
+Z¨urich, Switzerland
+Vi(cid:138)orio Ferrari"

+0b4453df81091bcdafedc07b64bea946bf3441b2,Fast and Accurate 3D Face Recognition Using Registration to an Intrinsic Coordinate System and Fusion of Multiple Region Classifiers,"Int J Comput Vis
+DOI 10.1007/s11263-011-0426-2
+Fast and Accurate 3D Face Recognition
+Using Registration to an Intrinsic Coordinate System and Fusion of Multiple Region
+Classifiers
+Luuk Spreeuwers
+Received: 20 September 2010 / Accepted: 7 February 2011
+© The Author(s) 2011. This article is published with open access at Springerlink.com"

+0b4b6932d5df74b366d9235b40334bc40d719c72,Temporal Ensembling for Semi-Supervised Learning,"Temporal Ensembling for Semi-Supervised Learning
+Samuli Laine
+NVIDIA
+Timo Aila
+NVIDIA"

+93cfc6fd29d50fe6589f9506b503f32f6d0372f4,A Face-to-Face Neural Conversation Model,"A Face-to-Face Neural Conversation Model
+Hang Chu1,2 Daiqing Li1 Sanja Fidler1,2
+University of Toronto 2Vector Institute
+{chuhang1122, daiqing,"

+9391618c09a51f72a1c30b2e890f4fac1f595ebd,Globally Tuned Cascade Pose Regression via Back Propagation with Application in 2D Face Pose Estimation and Heart Segmentation in 3D CT Images,"Globally Tuned Cascade Pose Regression via
+Back Propagation with Application in 2D Face
+Pose Estimation and Heart Segmentation in 3D
+CT Images
+Peng Sun
+James K Min
+Guanglei Xiong
+Dalio Institute of Cardiovascular Imaging, Weill Cornell Medical College
+April 1, 2015
+This work was submitted to ICML 2015 but got rejected. We put the initial
+submission ”as is” in Page 2 - 11 and add updated contents at the tail. The
+ode of this work is available at https://github.com/pengsun/bpcpr5."

+93498110032a458fddebfae80d7a93991e11673d,Brownian descriptor: A rich meta-feature for appearance matching,"Brownian descriptor: a Rich Meta-Feature for Appearance Matching
+Sławomir B ˛ak
+Ratnesh Kumar
+François Brémond
+INRIA Sophia Antipolis, STARS group
+004, route des Lucioles, BP93
+06902 Sophia Antipolis Cedex - France"

+93675f86d03256f9a010033d3c4c842a732bf661,Localized Growth and Characterization of Silicon Nanowires,Universit´edesSciencesetTechnologiesdeLilleEcoleDoctoraleSciencesPourl’ing´enieurUniversit´eLilleNord-de-FranceTHESEPr´esent´ee`al’Universit´edesSciencesetTechnologiesdeLillePourobtenirletitredeDOCTEURDEL’UNIVERSIT´ESp´ecialit´e:MicroetNanotechnologieParTaoXULocalizedgrowthandcharacterizationofsiliconnanowiresSoutenuele25Septembre2009Compositiondujury:Pr´esident:TuamiLASRIRapporteurs:ThierryBARONHenriMARIETTEExaminateurs:EricBAKKERSXavierWALLARTDirecteurdeth`ese:BrunoGRANDIDIER

+938566dc8ee83a12d07e4d26bbb75e65ca7963cd,Multi-Scale Singularity Trees (MSSTs),"Multi-Scale Singularity Trees
+(MSSTs)
+Kerawit Somchaipeng"

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

+93d3f2e546314305e8102538c4714e30e9146858,Image categorization combining neighborhood methods and boosting,"Image Categorization Combining Neighborhood Methods
+nd Boosting
+Matthew Cooper
+FX Palo Alto Laboratory
+Palo Alto, CA 94304 USA"

+93610676003ef1dcda3864b236bca3852cb05388,RECOGNIZING ACTIVITIES WITH CLUSTER-TREES OF TRACKLETS 1 Recognizing activities with cluster-trees of tracklets,"Recognizing activities with cluster-trees of tracklets
+Adrien Gaidon, Zaid Harchaoui, Cordelia Schmid
+To cite this version:
+Adrien Gaidon, Zaid Harchaoui, Cordelia Schmid. Recognizing activities with cluster-trees of
+tracklets. Richard Bowden and John P. Collomosse and Krystian Mikolajczyk. BMVC 2012
+- British Machine Vision Conference, Sep 2012, Guildford, United Kingdom. BMVA Press,
+pp.30.1-30.13, 2012, <10.5244/C.26.30>. <hal-00722955v2>
+HAL Id: hal-00722955
+https://hal.inria.fr/hal-00722955v2
+Submitted on 7 Aug 2012
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+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"

+93cbb3b3e40321c4990c36f89a63534b506b6daf,Learning from examples in the small sample case: face expression recognition,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 35, NO. 3, JUNE 2005
+Learning From Examples in the Small Sample Case:
+Face Expression Recognition
+Guodong Guo and Charles R. Dyer, Fellow, IEEE"

+93a4c7ac0b09671db8cd3adbe62851d7befc4658,Machine Analysis of Facial Expressions,"We are IntechOpen,
+the world’s leading publisher of
+Open Access books
+Built by scientists, for scientists
+,800
+16,000
+Open access books available
+International  authors and editors
+Downloads
+Our authors are among the
+Countries delivered to
+TOP 1%
+2.2%
+most cited scientists
+Contributors from top 500 universities
+Selection of our books indexed in the Book Citation Index
+in Web of Science™ Core Collection (BKCI)
+Interested in publishing with us?
+Contact
+Numbers displayed above are based on latest data collected."

+93ed1c9274906f1916d58cd618a9a82858448a3f,Deep Learning for Accurate Population Counting in Aerial Imagery,"Deep Learning for Accurate Population Counting in
+Aerial Imagery
+Matt Epperson, James Rotenberg, Eric Lo, Sebastian Afshari & Brian Kim"

+931a70ec0bfc1d86894ff37a6f702a033e0129e3,ParlAI: A Dialog Research Software Platform,"ParlAI: A Dialog Research Software Platform
+Alexander H. Miller, Will Feng, Adam Fisch, Jiasen Lu,
+Dhruv Batra, Antoine Bordes, Devi Parikh and Jason Weston
+Facebook AI Research"

+93dce341666b6a57f8888dddb25a3fd37df69b02,Deep Layer Aggregation,"Deep Layer Aggregation
+Fisher Yu Dequan Wang
+Evan Shelhamer
+Trevor Darrell
+UC Berkeley"

+934a77d099a38374ef1babe02d95952c089cce5f,Set of texture descriptors for music genre classification,"Set of texture descriptors for music genre classification
+Loris Nanni
+Yandre Costa
+Department of
+Information Engineering
+University of Padua
+viale Gradenigo 6
+5131, Padua, Italy
+State University of
+Maringa (UEM)
+Av. Colombo, 5790
+87020-900, Maringa,
+Parana, Brazil"

+93e962f8886eae13b02ad2aa98bdedfbd7e68709,Dual Conditional GANs for Face Aging and Rejuvenation,"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18)
+Source： datasets(b)Target: our outputs are a series of images belonging to the same person010Input FaceOutputs2  78x/Age groupy/Personality  2178Non-sequential facial imagesSequential facial imagesFigure1:Anillustrationofourfaceagingandrejuvenationpro-cess.As(a)shows,ourtrainingexamplesarenon-sequentialandun-paired,andweaimtosimultaneouslyrenderaseriesofage-changedfacialimagesofapersonandpreservepersonality,asshownin(b).specificallydescribethechangesoffacesindifferentages.Thesemethodsparametricallymodelshapeandtexturepa-rametersfordifferentfeaturesofeachagegroup,e.g.,mus-cles[Suoetal.,2012],wrinkles[RamanathanandChellappa,2008;Suoetal.,2010]andfacialstructure[RamanathanandChellappa,2006;Lanitisetal.,2002].Ontheotherhand,prototype-basedmethods[KemelmacherShlizermanetal.,2014;Tiddemanetal.,2001]dividefacesintogroupsbyage,andthenconstructanaveragefaceasitsprototypeforeachagegroup.Afterthat,thesemethodscantransferthetexturedifferencebetweentheprototypestotheinputfacialimage.Morerecently,thedeeplearning-basedmethod[Wangetal.,2016;Liuetal.,2017]achievedthestate-of-the-artper-formance.In[Wangetal.,2016],RNNisappliedonthecoefficientsofeigenfacesforagepatterntransition.Itper-formsthegroup-basedlearningwhichrequiresthetrueageoftestingfacestolocalizethetransitionstatewhichmightnotbeconvenient.Inaddition,theseapproachesonlypro-videageprogressionfromyoungerfacetoolderones.Toachieveflexiblebidirectionalagechanges,itmayneedtoretrainthemodelinversely.GenerativeAdversarialNet-"

+935ce31268232b25c9f685128ae0ae9e5c3a0e8e,Implementation of Human detection system using DM 3730,"International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Impact Factor (2012): 3.358
+Implementation of Human detection system using
+DM3730
+Amaraneni Srilaxmi1, Shaik Khaddar Sharif2
+VNR Vignana Jyothi Institute of Engineering & Technology, Bachupally, Hyderabad, India
+VNR Vignana Jyothi Institute of Engineering & Technology, Bachupally, Hyderabad, India
+digital
+ontent  management,"

+93798ead90afe86636ca582a92cadd846905a95d,Learning Visual Classifiers From Limited Labeled Images,

+930663a0812a7a53963563b647c5957807d3d97d,A unified view of non-monotonic core selection and application steering in heterogeneous chip multiprocessors,"A Unified View of Non-monotonic Core Selection
+nd Application Steering in Heterogeneous
+Chip Multiprocessors
+Sandeep Navada*, Niket K. Choudhary*,
+Salil V. Wadhavkar*
+CPU Design Center
+Qualcomm
+Raleigh, NC, USA
+{snavada, niketc,"

+930a6ea926d1f39dc6a0d90799d18d7995110862,Privacy-preserving photo sharing based on a secure JPEG,"Privacy-Preserving Photo Sharing
+ased on a Secure JPEG
+Lin Yuan, Pavel Korshunov, and Touradj Ebrahimi
+Multimedia Signal Processing Group, EPFL, Lausanne, Switzerland
+Email: {lin.yuan, pavel.korshunov,"

+94b9c0a6515913bad345f0940ee233cdf82fffe1,Face Recognition using Local Ternary Pattern for Low Resolution Image,"International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Impact Factor (2012): 3.358
+Face Recognition using Local Ternary Pattern for
+Low Resolution Image
+Vikas1, Amanpreet Kaur2
+Research Scholar, CGC Group of Colleges, Gharuan, Punjab, India
+Assistant Professor, Department of Computer Science Engineering, Chandigarh University, Gharuan, Punjab, India"

+94826cb68980e3b89118569c93cfd36f3945fa99,Computer face-matching technology using two-dimensional photographs accurately matches the facial gestalt of unrelated individuals with the same syndromic form of intellectual disability,"Dudding-Byth et al. BMC Biotechnology  (2017) 17:90
+DOI 10.1186/s12896-017-0410-1
+Open Access
+R ES EAR CH A R T I C LE
+Computer face-matching technology using
+two-dimensional photographs accurately
+matches the facial gestalt of unrelated
+individuals with the same syndromic form
+of intellectual disability
+Tracy Dudding-Byth1,2,3,11*†
+Susan M. White5,6, John Attia3,4, Han Brunner7, Bert de Vries7, David Koolen7, Tjitske Kleefstra7, Seshika Ratwatte4,8,
+Carlos Riveros3, Steve Brain9 and Brian C. Lovell9,10
+, Anne Baxter1†, Elizabeth G. Holliday3,4, Anna Hackett1,4,11, Sheridan O’Donnell1,"

+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"

+940ab36a8b2cdf6cb6a08093bd382ad375717942,Human violence recognition and detection in surveillance videos,"Human Violence Recognition and Detection in Surveillance Videos
+Piotr Bilinski
+nd Francois Bremond
+INRIA Sophia Antipolis, STARS team
+004 Route des Lucioles, BP93, 06902 Sophia Antipolis, France"

+9499b8367a84fccb3651a95e4391d6e17fd92ec5,Face Recognition Issues in a Border Control Environment,"Face Recognition Issues in a Border Control
+Environment
+Marijana Kosmerlj, Tom Fladsrud, Erik Hjelm˚as, and Einar Snekkenes
+Department of Computer Science and Media Technology
+NISlab
+Gjøvik University College
+P. O. Box 191, N-2802 Gjøvik, Norway"

+942bb63e78d9edfe3b8d0a4bf9a3511c736a6930,"Implementing Efficient, Portable Computations for Machine Learning","Implementing Efficient, Portable Computations for Machine
+Learning
+Matthew Walter Moskewicz
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2017-37
+http://www2.eecs.berkeley.edu/Pubs/TechRpts/2017/EECS-2017-37.html
+May 9, 2017"

+9432e1157f252ee626511b2270126436b0e80b73,A set theoretic approach to object-based image restoration,"Image Processing: Algorithms and Systems IV, edited by Edward R. Dougherty,
+Jaakko T. Astola, Karen O. Egiazarian, Proc. of SPIE-IS&T Electronic Imaging,
+SPIE Vol. 5672 © 2005 SPIE and IS&T · 0277-786X/05/$15"

+944faf7f14f1bead911aeec30cc80c861442b610,Action Tubelet Detector for Spatio-Temporal Action Localization,"Action Tubelet Detector for Spatio-Temporal Action Localization
+Vicky Kalogeiton1,2
+Philippe Weinzaepfel3
+Vittorio Ferrari2
+Cordelia Schmid1"

+9458c518a6e2d40fb1d6ca1066d6a0c73e1d6b73,A Benchmark and Comparative Study of Video-Based Face Recognition on COX Face Database,"A Benchmark and Comparative Study of
+Video-Based Face Recognition
+on COX Face Database
+Zhiwu Huang, Student Member, IEEE, Shiguang Shan, Senior Member, IEEE,
+Ruiping Wang, Member, IEEE, Haihong Zhang, Member, IEEE,
+Shihong Lao, Member, IEEE, Alifu Kuerban,
+nd Xilin Chen, Senior Member, IEEE"

+940a675de8a48b54bac6b420f551529d2bc53b99,"Advances , Challenges , and Opportunities in Automatic Facial Expression Recognition","Advances, Challenges, and Opportunities in
+Automatic Facial Expression Recognition
+Brais Martinez and Michel F. Valstar"

+9434524669777d281a8a7358f20181c9e157942e,VSEM: An open library for visual semantics representation,"Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, pages 187–192,
+Sofia, Bulgaria, August 4-9 2013. c(cid:13)2013 Association for Computational Linguistics"

+948af4b04b4a9ae4bff2777ffbcb29d5bfeeb494,Face Recognition From Single Sample Per Person by Learning of Generic Discriminant Vectors,"Available online at www.sciencedirect.com
+Procedia Engineering   41  ( 2012 )  465 – 472
+International Symposium on Robotics and Intelligent Sensors 2012 (IRIS 2012)
+Face Recognition From Single Sample Per Person by Learning of
+Generic Discriminant Vectors
+Fadhlan Hafiza*, Amir A. Shafieb, Yasir Mohd Mustafahb
+Faculty of Electrical Engineering, University of Technology MARA, Shah Alam, 40450 Selangor, Malaysia
+Faculty of Engineering, International Islamic University, Jalan Gombak, 53100 Kuala Lumpur, Malaysia"

+947399fef66bd8c536c6f784a0501b34e4e094bf,Towards Recovery of Conditional Vectors from Conditional Generative Adversarial Networks,"Towards Recovery of Conditional Vectors from
+Conditional Generative Adversarial Networks
+Sihao Ding
+Andreas Wallin
+{sihao.ding,"

+9458642e7645bfd865911140ee8413e2f5f9fcd6,Efficient Multiple People Tracking Using Minimum Cost Arborescences,"Ef‌f‌icient Multiple People Tracking Using
+Minimum Cost Arborescences
+Roberto Henschel1, Laura Leal-Taix´e2, Bodo Rosenhahn1
+Institut f¨ur Informationsverarbeitung, Leibniz Universit¨at Hannover,
+Institute of Geodesy and Photogrammetry, ETH Zurich,"

+949079cc466e875df1ee6bd6590052ba382a35cf,0 Large-Scale Face Image Retrieval :,"We are IntechOpen,
+the world’s leading publisher of
+Open Access books
+Built by scientists, for scientists
+,800
+16,000
+Open access books available
+International  authors and editors
+Downloads
+Our authors are among the
+Countries delivered to
+TOP 1%
+2.2%
+most cited scientists
+Contributors from top 500 universities
+Selection of our books indexed in the Book Citation Index
+in Web of Science™ Core Collection (BKCI)
+Interested in publishing with us?
+Contact
+Numbers displayed above are based on latest data collected."

+94686d5df14875ed800a9f710bfa43ba4eb19b75,Occlusion Handling for Pedestrian Tracking Using Partial Object Template-based Component Particle Filter,"IADIS International Journal on Computer Science and Information Systems
+Vol. 8, No. 2, pp. 40-50
+ISSN: 1646-3692
+OCCLUSION HANDLING FOR PEDESTRIAN
+TRACKING USING PARTIAL OBJECT
+TEMPLATE-BASED COMPONENT PARTICLE
+FILTER
+Daw-Tung Lin. Department of Computer Science and Information Engineering, National Taipei
+University, Taiwan.
+Yen-Hsiang Chang. Department of Computer Science and Information Engineering, National Taipei
+University, Taiwan."

+941166547968081463398c9eb041f00eb04304f7,Structure-Preserving Sparse Decomposition for Facial Expression Analysis,"Structure-Preserving Sparse Decomposition for
+Facial Expression Analysis
+Sima Taheri, Student Member, IEEE, Qiang Qiu, Student Member, IEEE, and Rama Chellappa, Fellow, IEEE"

+940865fc3f7ee5b386c4188c231eb6590db874e9,Security and Surveillance System for Drivers Based on User Profile and learning systems for Face Recognition,"Network Protocols and Algorithms
+ISSN  1943-3581
+015,  Vol.  7,  No.  1
+Security and Surveillance System for Drivers based on
+User Profile and Learning Systems for Face
+Recognition
+Loubna Cherrat
+Mathematic and Application Laboratory, FSTT of Tangier
+Tangier (Morocco)
+Tel: 06-64-43-39-18    E-mail:
+Mostafa Ezziyyani
+Mathematic and Application Laboratory, FSTT of Tangier
+Tangier (Morocco)
+Tel: 06-61-63-03-01    E-mail:
+Annas EL Mouden
+Mathematic and Application Laboratory, FSTT of Tangier
+Tangier (Morocco)
+Tel: 06-66-63-73-63    E-mail:
+Mohammed Hassar
+Mathematic and Application Laboratory, FSTT of Tangier"

+9441253b638373a0027a5b4324b4ee5f0dffd670,A Novel Scheme for Generating Secure Face Templates Using BDA,"A Novel Scheme for Generating Secure Face
+Templates Using BDA
+Shraddha S. Shinde
+Prof. Anagha P. Khedkar
+P.G. Student, Department of Computer Engineering,
+Associate Professor, Department of Computer
+MCERC,
+Nashik (M.S.), India
+e-mail:"

+948853c269cf97251ba5082db0481ce6f96cf886,Efficient Distributed Training of Vehicle Vision Systems,"Efficient Distributed Training of Vehicle Vision Systems
+Sung-Li Chiang
+Xinlei Pan
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2016-195
+http://www2.eecs.berkeley.edu/Pubs/TechRpts/2016/EECS-2016-195.html
+December 11, 2016"

+94a11b601af77f0ad46338afd0fa4ccbab909e82,"Title of dissertation : EFFICIENT SENSING , SUMMARIZATION AND CLASSIFICATION OF VIDEOS",

+0e23229289b1fbea14bc425718bc0a227d100b8e,Survey of Recent Advances in Visual Question Answering,"Survey of Recent Advances in Visual Question Answering
+Supriya Pandhre∗
+Indian Institute of Technology Hyderabad
+Hyderabad, India
+Shagun Sodhani
+Adobe Systems
+Noida, India"

+0efdd82a4753a8309ff0a3c22106c570d8a84c20,Lda with Subgroup Pca Method for Facial Image Retrieval,"LDA WITH SUBGROUP PCA METHOD FOR FACIAL IMAGE RETRIEVAL
+Wonjun Hwang, Tae-Kyun Kim, Seokcheol Kee
+Human Computer Interaction Lab., Samsung Advanced Institute of Technology, Korea."

+0ed78b9562661c550e382ed30de252d877a04cdc,An Evaluation of Video-to-Video Face Verification,"An Evaluation of Video-to-Video Face Verification
+Norman Poh, Member, IEEE, Chi Ho Chan, Josef Kittler, Sébastien Marcel, Christopher Mc Cool,
+Enrique Argones Rúa, José Luis Alba Castro, Mauricio Villegas, Student Member, IEEE, Roberto Paredes,
+Vitomir ˇStruc, Member, IEEE, Nikola Paveˇsic´, Albert Ali Salah, Hui Fang, and Nicholas Costen
+features,"

+0ec17d929f62660fb3d1bcdd791f9639034f5344,How Do We Evaluate Facial Emotion Recognition?,"Psychology & Neuroscience
+016, Vol. 9, No. 2, 153–175
+983-3288/16/$12.00
+© 2016 American Psychological Association
+http://dx.doi.org/10.1037/pne0000047
+How Do We Evaluate Facial Emotion Recognition?
+Ana Idalina de Paiva-Silva
+Universidade de Brasília and Universidade Federal
+de Goiás
+Marta Kerr Pontes,
+Juliana Silva Rocha Aguiar, and
+Wânia Cristina de Souza
+Universidade de Brasília
+The adequate interpretation of facial expressions of emotion is crucial for social
+functioning and human interaction. New methods are being applied, and a review of the
+methods that are used to evaluate facial emotion recognition is timely for the field. An
+extensive review was conducted using the Web of Science, PsycINFO, and PubMed
+databases. The following keywords were used to identify articles that were published
+within the past 20 years: emotion recognition, face, expression, and assessment. The
+initial search yielded 291 articles. After applying the exclusion criteria, 115 articles"

+0e9f7d8554e065a586163845dd2bfba26e55cefb,Registration of 3D Face Scans with Average Face Models,"Registration of 3D Face Scans with Average Face Models
+Albert Ali Salah1,2, Ne¸se Aly¨uz1, Lale Akarun1
+{salah, nese.alyuz,
+Bo˘gazi¸ci University,
+4342 Bebek, ˙Istanbul, Turkey
+Phone: +90 212 359 4523-24
+Fax: +90 212 287 2461
+Centrum voor Wiskunde en Informatica,
+Kruislaan 413, 1098 SJ, 94079, The Netherlands
+Phone: +31 020 592 4214
+Fax: +31 020 592 4199"

+0ef40a21edf2b48c73fd51c21d213ee69ca30a4b,Hidden Markov model as a framework for situational awareness,

+0eac652139f7ab44ff1051584b59f2dc1757f53b,Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation,"Efficient Branching Cascaded Regression
+for Face Alignment under Significant Head Rotation
+Brandon M. Smith
+Charles R. Dyer
+University of Wisconsin–Madison"

+0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a,The Pascal Visual Object Classes (VOC) Challenge,"Int J Comput Vis (2010) 88: 303–338
+DOI 10.1007/s11263-009-0275-4
+The PASCAL Visual Object Classes (VOC) Challenge
+Mark Everingham · Luc Van Gool ·
+Christopher K. I. Williams · John Winn ·
+Andrew Zisserman
+Received: 30 July 2008 / Accepted: 16 July 2009 / Published online: 9 September 2009
+© Springer Science+Business Media, LLC 2009"

+0e13f7fc698cbe78ddbf3412b13ca27a4d878fa8,Greater need to belong predicts a stronger preference for extraverted faces,"See	discussions,	stats,	and	author	profiles	for	this	publication	at:	https://www.researchgate.net/publication/306357929
+Greater	need	to	belong	predicts	a	stronger
+preference	for	extraverted	faces	☆
+Article		in		Personality	and	Individual	Differences	·	January	2017
+DOI:	10.1016/j.paid.2016.08.012
+CITATION
+authors,	including:
+READS
+Mitch	Brown
+University	of	Southern	Mississippi
+6	PUBLICATIONS			5	CITATIONS
+SEE	PROFILE
+Some	of	the	authors	of	this	publication	are	also	working	on	these	related	projects:
+Metaphor	and	Disease	View	project
+Limbal	Rings	View	project
+All	content	following	this	page	was	uploaded	by	Mitch	Brown	on	10	November	2016.
+The	user	has	requested	enhancement	of	the	downloaded	file."

+0e031312cb6e1634e3115e428505e2be9ef46b75,Explicit Knowledge-based Reasoning for Visual Question Answering,"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)
+giraffe people people Attributes: glass house room standing walking wall zoo  Scenes: museum indoor  Visual Question: How many giraffes are there in the image? Answer: Two.  Common-Sense Question: Is this image related to zoology? Answer: Yes. Reason: Object/Giraffe  -->  Herbivorous animals    --> Animal --> Zoology; Attribute/Zoo --> Zoology. KB-Knowledge Question: What are the common properties between the animal in this image and zebra? Answer: Herbivorous animals; Animals; Megafauna of Africa. Figure1:ArealexampleoftheproposedKB-VQAdatasetandtheresultsgivenbyAhab,theproposedVQAapproach.Ourapproachanswersquestionsbyextractingseveraltypesofvisualconceptsfromanimageandaligningthemtolarge-scalestructuredknowl-edgebases.Apartfromanswers,ourapproachcanalsoproviderea-sonsandexplanationsforcertaintypesofquestions.itisansweringthequestionbasedonimageinformation,orjusttheprevalenceofaparticularanswerinthetrainingset.Thesecondproblemisthatbecausethemodelistrainedonindividualquestion/answerpairs,therangeofquestionsthatcanbeaccuratelyansweredislimited.Answeringgeneralquestionsposedbyhumansaboutimagesinevitablyrequiresreferencetoadiversevarietyofinformationnotcontainedintheimageitself.CapturingsuchlargeamountofinformationwouldrequireanimplausiblylargeLSTM,andacompletelyimpracticalamountoftrainingdata.Thethird,andmajor,problemwiththeLSTMapproachisthatitisincapableofex-plicitreasoningexceptinverylimitedsituations[Rockt¨ascheletal.,2016].OurmaincontributionisamethodwecallAhab1foran-sweringawidevarietyofquestionsaboutimagesthatrequire1Ahab,thecaptaininthenovelMobyDick,iseitherabrilliantvisionary,oradeludedfanatic,dependingonyourperspective."

+0eb45876359473156c0d4309f548da63470d30ee,A Deeply-Initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment,"A Deeply-initialized Coarse-to-fine Ensemble of
+Regression Trees for Face Alignment
+Roberto Valle1[0000−0003−1423−1478], Jos´e M.
+Buenaposada2[0000−0002−4308−9653], Antonio Vald´es3, and Luis Baumela1
+Univ. Polit´ecnica de Madrid, Spain.
+Univ. Rey Juan Carlos, Spain.
+Univ. Complutense de Madrid, Spain."

+0e50fe28229fea45527000b876eb4068abd6ed8c,Angle Principal Component Analysis,Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)

+0eff410cd6a93d0e37048e236f62e209bc4383d1,Learning discriminative MspLBP features based on Ada-LDA for multi-class pattern classification,"Anchorage Convention District
+May 3-8, 2010, Anchorage, Alaska, USA
+978-1-4244-5040-4/10/$26.00 ©2010 IEEE"

+0ecaabbf846bbc78c91bf7ff71b998b61c0082d8,Automated Visual Fin Identification of Individual Great White Sharks,"Noname manuscript No.
+(will be inserted by the editor)
+Automated Visual Fin Identification
+of Individual Great White Sharks
+Benjamin Hughes and Tilo Burghardt
+Received: date / Accepted: date"

+0ee737085af468f264f57f052ea9b9b1f58d7222,SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination,"SiGAN: Siamese Generative Adversarial Network
+for Identity-Preserving Face Hallucination
+Chih-Chung Hsu, Member, IEEE, Chia-Wen Lin, Fellow, IEEE, Weng-Tai Su, Student Member, IEEE,
+nd Gene Cheung, Senior Member, IEEE,"

+0ee661a1b6bbfadb5a482ec643573de53a9adf5e,On the Use of Discriminative Cohort Score Normalization for Unconstrained Face Recognition,"JOURNAL OF LATEX CLASS FILES, VOL. X, NO. X, MONTH YEAR
+On the Use of Discriminative Cohort Score
+Normalization for Unconstrained Face Recognition
+Massimo Tistarelli, Senior Member, IEEE, Yunlian Sun, and Norman Poh, Member, IEEE"

+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"

+0e36bf238d2db6c970ade0b5f68811ed6debc4e8,Recognizing Partial Biometric Patterns,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 4, AUGUST 2018
+Recognizing Partial Biometric Patterns
+Lingxiao He, Student Member, IEEE, Zhenan Sun, Member, IEEE, Yuhao Zhu and Yunbo Wang"

+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
+Lior Shamira,∗
+Lawrence Technological University, 21000 W Ten Mile Rd., Southfield, MI 48075, United States."

+0e95f68171b27621a39e393afb7c74ef1506fe85,Content Based Image Retrieval Using Enhanced Local Tetra Patterns,"CONTENT BASED IMAGE RETRIEVAL USING
+ENHANCED LOCAL TETRA PATTERNS
+Divya Gupta1, Anjali Jindal2
+Assistant Professor, Computer Science Department
+SRM University, Delhi NCR Campus, India
+M.Tech Student (Computer Science and Engineering)
+SRM University, Delhi NCR Campus, India"

+0ed91520390ebdee13a0ac13d028f65d959bdc10,Hard Example Mining with Auxiliary Embeddings,"Hard Example Mining with Auxiliary Embeddings
+Evgeny Smirnov
+Speech Technology Center
+Aleksandr Melnikov
+ITMO University
+Andrei Oleinik
+ITMO University
+melnikov
+Elizaveta Ivanova
+Ilya Kalinovskiy
+Speech Technology Center
+Speech Technology Center
+Eugene Luckyanets
+ITMO University"

+0e78af9bd0f9a0ce4ceb5f09f24bc4e4823bd698,Spontaneous Subtle Expression Recognition: Imbalanced Databases & Solutions,"Spontaneous Subtle Expression Recognition:
+Imbalanced Databases & Solutions (cid:63)
+Anh Cat Le Ngo1, Raphael Chung-Wei Phan1, John See2
+Faculty of Engineering,
+Multimedia University (MMU), Cyberjaya, Malaysia
+Faculty of Computing & Informatics,
+Multimedia University (MMU), Cyberjaya, Malaysia"

+0e2ea7af369dbcaeb5e334b02dd9ba5271b10265,Multi-Level Feature Abstraction from Convolutional Neural Networks for Multimodal Biometric Identification,

+0e7fdc0b03a1481b2fa1b5d592125f41b6cb7ad7,Dual CNN Models for Unsupervised Monocular Depth Estimation,"Dual CNN Models for Unsupervised Monocular Depth Estimation
+Computer Vision Group,
+Indian Institute of Information Technology, Sri City,
+Vamshi Krishna Repala
+Shiv Ram Dubey
+Andhra Pradesh-517646, India
+vamshi.r14,"

+0e7c70321462694757511a1776f53d629a1b38f3,2012 Proceedings of the Performance Metrics for Intelligent Systems (PerMI'12) Workshop,"NIST Special Publication 1136
+012 Proceedings of the
+Performance Metrics for Intelligent
+Systems (PerMI ‘12) Workshop
+Rajmohan Madhavan
+Elena R. Messina
+Brian A. Weiss
+http://dx.doi.org/10.6028/NIST.SP.1136"

+0e5640677feb2e1d78639b516f7977e80d9d394f,Volume-based Human Re-identification with RGB-D Cameras,"Cosar, S., Coppola, C. and Bellotto, N.
+Volume-based Human Re-identification with RGB-D Cameras.
+In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP, pages
+89-397
+ISBN: 978-989-758-225-7
+Copyright c(cid:13) 2017 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved"

+0efb7d1413ada560ab1aee1ea4cc94d80737e662,Performance Analysis of Eye localization Methods for Real Time Vision Interface using Low Grade Video Camera,"International Journal of Computer Applications (0975 – 8887)
+Volume 114 – No. 2, March 2015
+Performance Analysis of Eye localization Methods for
+Real Time Vision Interface using Low Grade Video
+Krupa Jariwala
+Assistant Professor
+Computer Engineering Department
+SVNIT, Surat
+Camera
+Upena Dalal, Ph.D.
+Associate Professor
+Electronics Engineering Department
+SVNIT, Surat"

+0edd3517579a110da989405309e4235e47dd8937,Performance and security analysis of Gait-based user authentication,"Performance and Security Analysis
+of Gait-based User Authentication
+Doctoral Dissertation by
+Davrondzhon Gafurov
+Submitted to the Faculty of Mathematics and Natural Sciences at the
+University of Oslo in partial fulfillment of the requirements for the degree
+Philosophiae Doctor (PhD) in Computer Science"

+607850dc8e640c25f027f2eee202dee5605cf27c,A Survey on Face Detection and Recognition Techniques in Different Application Domain,"I.J. Modern Education and Computer Science, 2014, 8, 34-44
+Published Online August 2014 in MECS (http://www.mecs-press.org/)
+DOI: 10.5815/ijmecs.2014.08.05
+A Survey on Face Detection and Recognition
+Techniques in Different Application Domain
+Subrat Kumar Rath, Siddharth Swarup Rautaray
+School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India
+related
+technology
+recognition,
+to  biometric  science
+the  popularity  and"

+600025c9a13ff09c6d8b606a286a79c823d89db8,A Review on Linear and Non-linear Dimensionality Reduction Techniques,"Machine Learning and Applications: An International Journal (MLAIJ) Vol.1, No.1, September 2014
+A REVIEW ON LINEAR AND NON-LINEAR
+DIMENSIONALITY REDUCTION
+TECHNIQUES
+Arunasakthi. K, 2KamatchiPriya. L
+Assistant Professor
+Department of Computer Science and Engineering
+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."

+602ff4fd0f5bd10c9fb971ecd2317e542f070883,Object Detection from the Satellite Images using Divide and Conquer Model,"SSRG International Journal of Computer Science and Engineering (SSRG-IJCSE) – volume1 issue10 Dec 2014
+Object Detection from the Satellite Images
+using Divide and Conquer Model
+Lakhwinder Kaur, Guru Kashi University
+Er.Vinod Kumar Sharma (Assistant professor), Guru Kashi University"

+60fb007eef153fdf9c3d6620c419bef1c657c555,A soft-biometrics dataset for person tracking and re-identification,"A Soft-Biometrics Dataset for Person Tracking and Re-Identification
+Arne Schumann, Eduardo Monari
+Fraunhofer Institute for Optronics, System Technologies and Image Exploitation
+{arne.schumann,"

+60f7de07de4d090990120483bd5407369b29a120,ℓ₁-Norm Heteroscedastic Discriminant Analysis Under Mixture of Gaussian Distributions.,"L1-Norm Heteroscedastic Discriminant Analysis
+under Mixture of Gaussian Distributions
+Wenming Zheng, Member, IEEE, Cheng Lu, Zhouchen Lin, Fellow, IEEE, Tong Zhang, Zhen Cui, Wankou Yang"

+60ec284f67c1012419e5dea508d1bae4bc144bb2,Curvelet Based Multiresolution Analysis of Face Images for Recognition using Robust Local Binary Pattern Descriptor,"Proc. of Int. Conf. on  Recent Trends in Signal Processing, Image Processing and VLSI, ICrtSIV
+Curvelet Based Multiresolution Analysis of Face
+Images for Recognition using Robust Local Binary
+Pattern Descriptor
+Nagaraja S. and Prabhakar C.J
+Department of P.G. Studies and Research in Computer Science,
+Kuvempu University, Karnataka, India
+Email: { nagarajas27, psajjan"

+604a4f7c0958c5cac017b853a7d0f5f5b4a4c509,Can We Teach Empathy ? Techniques Using Standardized Patients to Assist Learners with Empathy ( Submission # 1039 ) Gayle,

+60ea05df719973ac4d9d70d3141e671131a55db5,A Practical Subspace Approach To Landmarking,"A Practical Subspace Approach To Landmarking
+Signals and systems group, Faculty of Electrical Engineering, Mathematics and Computer Science, University of
+G. M. Beumer, and R.N.J. Veldhuis
+Twente, Enschede, The Netherlands
+Email:"

+60e2b9b2e0db3089237d0208f57b22a3aac932c1,Frankenstein: Learning Deep Face Representations Using Small Data,"Frankenstein: Learning Deep Face Representations
+using Small Data
+Guosheng Hu, Member, IEEE, Xiaojiang Peng, Yongxin Yang, Timothy M. Hospedales, and Jakob Verbeek"

+6097c33a382c62a44379926ee96b23b51dba49c4,From Depth Data to Head Pose Estimation: a Siamese approach,"From Depth Data to Head Pose Estimation: a Siamese approach
+Marco Venturelli, Guido Borghi, Roberto Vezzani, Rita Cucchiara
+University of Modena and Reggio Emilia, DIEF
+{marco.venturelli, guido.borghi, roberto.vezzani,
+Via Vivarelli 10, Modena, Italy
+Keywords:
+Head Pose Estimation, Deep Learning, Depth Maps, Automotive"

+6025f0761024006e0ea5782a7cea29ed69231fbf,Neural Mechanisms of Qigong Sensory Training Massage for Children With Autism Spectrum Disorder: A Feasibility Study,"Original Article
+Neural Mechanisms of Qigong Sensory
+Training Massage for Children With Autism
+Spectrum Disorder: A Feasibility Study
+Global Advances in Health and Medicine
+Volume 7: 1–10
+! The Author(s) 2018
+Reprints and permissions:
+sagepub.com/journalsPermissions.nav
+DOI: 10.1177/2164956118769006
+journals.sagepub.com/home/gam
+Kristin K Jerger, MD, LMBT1, Laura Lundegard2, Aaron Piepmeier, PhD1,
+Keturah Faurot, PA, MPH, PhD1, Amanda Ruffino, BA1,
+Margaret A Jerger, PhD, CCC-SLP1, and Aysenil Belger, PhD3"

+60ab5c64375c4f5f8949a184fd9bfb68778ae6ea,Understanding and Verifying Kin Relationships in a Photo,"N. S. Syed et al Int. Journal of Engineering Research and Applications                          www.ijera.com
+ISSN : 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.1225-1229
+RESEARCH ARTICLE                                                                            OPEN ACCESS
+Understanding and Verifying Kin Relationships in a Photo
+Ms.N.S.Syed, 2mr.B.K.Patil, 3mr.Zafar Ul Hasan
+(Department of Computer Science, Everest College of Engg. & Tech., Aurangabad, M.S., India )
+(Department of Computer Science, Everest College of Engg. & Tech., Aurangabad, M.S., India )
+(Department of Computer Science, Sandip Institute of Technology and Research Centre, Nashik, M.S,India)"

+60ce4a9602c27ad17a1366165033fe5e0cf68078,Combination of Face Regions in Forensic Scenarios.,"TECHNICAL NOTE
+DIGITAL & MULTIMEDIA SCIENCES
+J Forensic Sci, 2015
+doi: 10.1111/1556-4029.12800
+Available online at: onlinelibrary.wiley.com
+Pedro Tome,1 Ph.D.; Julian Fierrez,1 Ph.D.; Ruben Vera-Rodriguez,1 Ph.D.; and Javier Ortega-Garcia,1
+Ph.D.
+Combination of Face Regions in Forensic
+Scenarios*"

+609ff585468ad0faba704dde1a69edb9f847c201,LogDet Rank Minimization with Application to Subspace Clustering,"Hindawi Publishing Corporation
+Computational Intelligence and Neuroscience
+Volume 2015, Article ID 824289, 10 pages
+http://dx.doi.org/10.1155/2015/824289
+Research Article
+LogDet Rank Minimization with Application to
+Subspace Clustering
+Zhao Kang,1 Chong Peng,1 Jie Cheng,2 and Qiang Cheng1
+Computer Science Department, Southern Illinois University, Carbondale, IL 62901, USA
+Department of Computer Science and Engineering, University of Hawaii at Hilo, Hilo, HI 96720, USA
+Correspondence should be addressed to Qiang Cheng;
+Received 25 March 2015; Revised 15 June 2015; Accepted 18 June 2015
+Academic Editor: Jos´e Alfredo Hernandez
+Copyright © 2015 Zhao Kang 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.
+Low-rank matrix is desired in many machine learning and computer vision problems. Most of the recent studies use the nuclear
+norm as a convex surrogate of the rank operator. However, all singular values are simply added together by the nuclear norm, and
+thus the rank may not be well approximated in practical problems. In this paper, we propose using a log-determinant (LogDet)
+function as a smooth and closer, though nonconvex, approximation to rank for obtaining a low-rank representation in subspace
+lustering. Augmented Lagrange multipliers strategy is applied to iteratively optimize the LogDet-based nonconvex objective"

+60efdb2e204b2be6701a8e168983fa666feac1be,Transferring Deep Object and Scene Representations for Event Recognition in Still Images,"Int J Comput Vis
+DOI 10.1007/s11263-017-1043-5
+Transferring Deep Object and Scene Representations for Event
+Recognition in Still Images
+Limin Wang1
+· Zhe Wang2 · Yu Qiao3 · Luc Van Gool1
+Received: 31 March 2016 / Accepted: 1 September 2017
+© Springer Science+Business Media, LLC 2017"

+60189e2b592056d43a28b6ffa491867f793ebe1e,Bağlamın Hiyerarşik Doğası,"Ba˘glamın Hiyerar¸sik Do˘gası
+Fethiye Irmak Do˘gan, Sinan Kalkan
+Bilgisayar Mühendisli˘gi Bölümü
+Orta Do˘gu Teknik Üniversitesi
+Ankara, Türkiye
+Email:
+Özetçe —Ba˘glam, insan bili¸si için oldukça elzemdir ve du-
+ru¸s, davranı¸s, konu¸sma biçimi gibi gündelik insan hayatı için
+önemli pek çok sürece etki etmektedir. Yakın zamanda hay-
+tımızda yer edinmesini bekledi˘gimiz robotların da i¸slevlerini
+yerine do˘gru ve verimli bir biçimde getirebilmesi için, ba˘glamı
+lgılama ve kullanma yetene˘gine sahip olması beklenmektedir.
+Ancak ba˘glam, yapay veya do˘gal bili¸s için ne kadar elzem
+olsa da, ba˘glamın yapısı yeterince çalı¸sılmı¸s ve çözümlenebilmi¸s
+de˘gildir. Bu çalı¸smada, ba˘glamın çözümlenememi¸s ö˘gelerinden
+ir tanesine, ba˘glamın yapısının hiyerar¸sik olup olmadı˘gına
+odaklanılmaktadır. Yaptı˘gımız irdelemeye göre, ba˘glama ait
+muhtelif sosyal, uzamsal ve zamansal özellikler ve olgular,
+a˘glamın hiyerar¸sik bir yapıya sahip oldu˘gunu önermektedir. Bu
+konudaki sinirbilim, psikoloji bulguları ve bili¸simsel modelleme"

+60824ee635777b4ee30fcc2485ef1e103b8e7af9,Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting,"Cascaded Collaborative Regression for Robust Facial
+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"

+60c06e5884a672e0ba3bf1d3488307489583b7e5,Audiovisual speech perception and eye gaze behavior of adults with asperger syndrome.,"J Autism Dev Disord
+DOI 10.1007/s10803-011-1400-0
+O R I G I N A L P A P E R
+Audiovisual Speech Perception and Eye Gaze Behavior of Adults
+with Asperger Syndrome
+Satu Saalasti • Jari Ka¨tsyri • Kaisa Tiippana •
+Mari Laine-Hernandez • Lennart von Wendt •
+Mikko Sams
+Ó Springer Science+Business Media, LLC 2011"

+60c12b3a1bfd547f5a165c95774a1a17d18a5941,People recognition by mobile robots,"People Recognition by Mobile Robots
+Grzegorz Cielniak and Tom Duckett
+Centre for Applied Autonomous Sensor Systems
+Dept. of Technology, ¨Orebro University
+SE-70182 ¨Orebro, Sweden
+Phone: +46 19 30 11 13, +46 19 30 34 83
+Email:
+Telefax: +46 19 30 34 63"

+60bc358296ae11ac8f11286bba0a49ac7e797d26,Diverse Image-to-Image Translation via Disentangled Representations,"Diverse Image-to-Image Translation via
+Disentangled Representations
+Hsin-Ying Lee(cid:63)1, Hung-Yu Tseng(cid:63)1, Jia-Bin Huang2, Maneesh Singh3,
+Ming-Hsuan Yang1,4
+University of California, Merced 2Virginia Tech 3Verisk Analytics 4Google Cloud
+Photo to van Gogh
+Content
+Attribute Generated
+Winter to summer
+Photograph to portrait
+Input
+Output
+Input
+Output
+Fig. 1: Unpaired diverse image-to-image translation. (Lef t) Our model
+learns to perform diverse translation between two collections of images without
+ligned training pairs. (Right) Example-guided translation."

+60d75d32d345c519fa5c0d8d6b6eb62e633a8d13,Person reidentification by semisupervised dictionary rectification learning with retraining module,"Downloaded From: https://www.spiedigitallibrary.org/journals/Journal-of-Electronic-Imaging on 9/13/2018
+Terms of Use: https://www.spiedigitallibrary.org/terms-of-use
+PersonreidentificationbysemisuperviseddictionaryrectificationlearningwithretrainingmoduleHongyuanWangZongyuanDingJiZhangSuolanLiuTongguangNiFuhuaChenHongyuanWang,ZongyuanDing,JiZhang,SuolanLiu,TongguangNi,FuhuaChen,“Personreidentificationbysemisuperviseddictionaryrectificationlearningwithretrainingmodule,”J.Electron.Imaging27(4),043043(2018),doi:10.1117/1.JEI.27.4.043043."

+60ffc8db53b02e95d852f5a06f97686486f72195,Video Matching Using DC-image and Local Features,"Video Matching Using DC-image and Local
+Features
+Saddam Bekhet, Amr Ahmed and Andrew Hunter"

+6084cac63fe6fcc1436610f1db4a3764ec2e3692,TST/BTD: An End-to-End Visual Recognition System,"TST/BTD: An End-to-End Visual Recognition System
+Taehee Lee
+Stefano Soatto
+Technical Report UCLA-CSD100008
+February 8, 2010, Revised March 18, 2010"

+60161c712a491764b6f227d72e9d01e956caa873,"Wrong Today, Right Tomorrow: Experience-Based Classification for Robot Perception","Wrong Today, Right Tomorrow:
+Experience-Based Classification for
+Robot Perception
+Jeffrey Hawke†, Corina Gur˘au†, Chi Hay Tong and Ingmar Posner"

+60cc2e8abc20c145727e7089c55bdba5722436d0,Higher Order Matching for Consistent Multiple Target Tracking,"Higher Order Matching for Consistent Multiple Target Tracking
+Chetan Arora
+Amir Globerson
+School of Computer Science and Engineering
+The Hebrew University
+http://www.cs.huji.ac.il/˜chetan/"

+604d7533bdcfb06f4ae217a2cd9fd2e1467192f8,Gender Recognition using Hog with Maximized Inter-Class Difference,

+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"

+60a33bcfe4b40cf46772e6aa1ead10489e924847,Bayesian representation learning with oracle constraints,"When crowds hold privileges: Bayesian unsupervised
+representation learning with oracle constraints
+Theofanis Karaletsos
+Computational Biology Program, Sloan Kettering Institute
+275 York Avenue, New York, USA
+Serge Belongie
+Cornell Tech
+11 Eighth Avenue #302, New York, USA
+Gunnar R¨atsch
+Computational Biology Program, Sloan Kettering Institute
+275 York Avenue, New York, USA"

+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"

+60bd1d33d74619f08baf0d7477b3f8cb8fc711e5,Amygdala Connectivity during Involuntary Attention to Emotional Faces in Typical Development and Autism Spectrum Disorders,"AMYGDALA CONNECTIVITY DURING INVOLUNTARY ATTENTION TO EMOTIONAL FACES
+IN TYPICAL DEVELOPMENT AND AUTISM SPECTRUM DISORDERS
+A Dissertation
+Submitted to the Faculty of the
+Graduate School of Arts and Sciences
+of Georgetown University
+in partial fulfillment of the requirement for the
+degree of
+Doctor of Philosophy
+in Psychology
+Eric R. Murphy, M.A.
+Washington, DC
+August 27th, 2013"

+60b66ec51ddadd132453f700d1781e8e7a8f78c8,Self-Validated Labeling of Markov Random Fields for Image Segmentation,"Self-Validated Labeling of Markov Random
+Fields for Image Segmentation
+Wei Feng, Jiaya Jia, Member, IEEE, and Zhi-Qiang Liu"

+60c7711bf9a00f697fff61474433da01f8550bf4,A Hybrid Approach of Facial Emotion Detection using Genetic Algorithm along with Artificial Neural Network,"A Hybrid Approach of Facial Emotion Detection using Genetic Algorithm along with Artificial Neural Network
+{tag}                                                 {/tag}
+International Journal of Computer Applications
+Foundation of Computer Science (FCS), NY, USA
+Volume 175
+Number 4
+Year of Publication: 2017
+Authors:
+Amrendra Sharan, Sunil Kumar Chhillar
+10.5120/ijca2017915494
+{bibtex}2017915494.bib{/bibtex}"

+6047e9af00dcffbd2effbfa600735eb111f7de65,A Discriminative Representation of Convolutional Features for Indoor Scene Recognition,"A Discriminative Representation of Convolutional
+Features for Indoor Scene Recognition
+S. H. Khan, M. Hayat, M. Bennamoun, Member, IEEE, R. Togneri, and F. Sohel, Senior Member, IEEE"

+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
+I. Description
+In only a few decades, sparse representation modeling has undergone a tremendous expansion with
+successful applications in many fields including signal and image processing, computer science,
+machine  learning,  statistics.  Mathematically,  it  can  be  considered  as  the  problem  of  finding  the
+sparsest solution (the one with the fewest non-zeros entries) to an underdetermined linear system
+of equations [1]. Based on the observation for natural images (or images rich in textures) that small
+scale  structures  tend  to  repeat  themselves  in  an  image  or  in  a  group  of  similar  images,  a  signal
+source can be sparsely represented over some well-chosen redundant basis (a dictionary). In other
+words, it can be approximately representable by a linear combination of a few elements (also called
+toms or basis vectors) of a redundant/over-complete dictionary.
+Such models have been proven successful in many tasks including denoising [2]-[5], compression
+[6],[7], super-resolution [8],[9], classification and pattern recognition [10]-[16]. In the context of
+lassification, the objective is to find the class to which a test signal belongs, given training data
+from multiple classes. Sparse representation has become a powerful technique in classification and
+pplications, including texture classification [16], face recognition [12], object detection [10], and
+segmentation of medical images [17], [18]. In conventional Sparse Representation Classification
+(SRC) schemes, learned dictionaries and sparse representation are involved to classify image pixels"

+60e065dbb795cc0d76ec187116eb87d1f42b5485,A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy,"IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, MANUSCRIPT ID
+A General Framework for Density Based
+Time Series Clustering Exploiting a Novel
+Admissible Pruning Strategy
+Nurjahan Begum1, Liudmila Ulanova1, Hoang Anh Dau1, Jun Wang2, and Eamonn Keogh1"

+601834a4150e9af028df90535ab61d812c45082c,A short review and primer on using video for psychophysiological observations in human-computer interaction applications,"A short review and primer on using video for
+psychophysiological observations in
+human-computer interaction applications
+Teppo Valtonen1
+Quantified Employee unit, Finnish Institute of Occupational Health,
+teppo. valtonen fi,
+POBox 40, 00250, Helsinki, Finland"

+60978f66eac568ae65d3acdc6559273fc30bc8c4,GReTA-A Novel Global and Recursive Tracking Algorithm in Three Dimensions,"GReTA – a novel Global and Recursive
+Tracking Algorithm in three dimensions
+Alessandro Attanasi, Andrea Cavagna, Lorenzo Del Castello, Irene Giardina, Asja Jeli´c,
+Stefania Melillo, Leonardo Parisi, Fabio Pellacini, Edward Shen, Edmondo Silvestri, Massimiliano Viale"

+346dbc7484a1d930e7cc44276c29d134ad76dc3f,Artists portray human faces with the Fourier statistics of complex natural scenes.,"This article was downloaded by:[University of Toronto]
+On: 21 November 2007
+Access Details: [subscription number 785020433]
+Publisher: Informa Healthcare
+Informa Ltd Registered in England and Wales Registered Number: 1072954
+Registered office: Mortimer House, 37-41 Mortimer Street, London W1T 3JH, UK
+Systems
+Publication details, including instructions for authors and subscription information:
+http://www.informaworld.com/smpp/title~content=t713663148
+Artists portray human faces with the Fourier statistics of
+omplex natural scenes
+Christoph Redies a; Jan Hänisch b; Marko Blickhan a; Joachim Denzler b
+Institute of Anatomy I, School of Medicine, Friedrich Schiller University, Germany
+Department of Computer Science, Friedrich Schiller University, D-07740 Jena,
+Germany
+First Published on: 28 August 2007
+To cite this Article: Redies, Christoph, Hänisch, Jan, Blickhan, Marko and Denzler,
+Joachim (2007) 'Artists portray human faces with the Fourier statistics of complex
+To link to this article: DOI: 10.1080/09548980701574496
+URL: http://dx.doi.org/10.1080/09548980701574496"

+34b124ecdc3471167cea1675a74a0232a881bc69,Infrared face recognition based on LBP co-occurrence matrix,"Int. J. Wireless and Mobile Computing, Vol. 8, No. 1, 2015
+Infrared face recognition based on LBP
+o-occurrence matrix and partial least squares
+Zhihua Xie and Guodong Liu*
+Key Lab of Optic-Electronic and Communication,
+Jiangxi Sciences and Technology Normal University,
+Nanchang, China
+Email:
+Email:
+*Corresponding author"

+343d21ae54b45ef219ac4ba024265eeabf4d6edd,Where Will They Go? Predicting Fine-Grained Adversarial Multi-agent Motion Using Conditional Variational Autoencoders,"Where Will They Go? Predicting Fine-Grained
+Adversarial Multi-Agent Motion using
+Conditional Variational Autoencoders
+Panna Felsen1,2, Patrick Lucey2, and Sujoy Ganguly2
+BAIR, UC Berkeley
+STATS
+{plucey,"

+34d53d2a418051c56cad9e0c90ea793af6cbb729,Structured Multi-class Feature Selection for Effective Face Recognition,"Structured multi-class feature selection for
+effective face recognition
+Giovanni Fusco, Luca Zini, Nicoletta Noceti, and Francesca Odone
+DIBRIS - Universit`a di Genova
+via Dodecaneso, 35
+6146-IT, Italy"

+34c7254d2f420df6309260b2bb461a9c107dfd5a,Semi-supervised image classification based on a multi-feature image query language,"University of Huddersfield Repository
+Pein, Raoul Pascal
+Semi-Supervised Image Classification based on a Multi-Feature Image Query Language
+Original Citation
+Pein, Raoul Pascal (2010) Semi-Supervised Image Classification based on a Multi-Feature Image
+Query Language. Doctoral thesis, University of Huddersfield.
+This version is available at http://eprints.hud.ac.uk/9244/
+The University Repository is a digital collection of the research output of the
+University, available on Open Access. Copyright and Moral Rights for the items
+on this site are retained by the individual author and/or other copyright owners.
+Users may access full items free of charge; copies of full text items generally
+an be reproduced, displayed or performed and given to third parties in any
+format or medium for personal research or study, educational or not-for-profit
+purposes without prior permission or charge, provided:
+• The authors, title and full bibliographic details is credited in any copy;
+• A hyperlink and/or URL is included for the original metadata page; and
+• The content is not changed in any way.
+For more information, including our policy and submission procedure, please
+ontact the Repository Team at:
+http://eprints.hud.ac.uk/"

+34b3b14b4b7bfd149a0bd63749f416e1f2fc0c4c,The AXES submissions at TrecVid 2013,"The AXES submissions at TrecVid 2013
+Robin Aly1, Relja Arandjelovi´c3, Ken Chatfield3, Matthijs Douze6, Basura Fernando4, Zaid Harchaoui6,
+Kevin McGuinness2, Noel E. O’Conner2, Dan Oneata6, Omkar M. Parkhi3, Danila Potapov6, Jérôme Revaud6,
+Cordelia Schmid6, Jochen Schwenninger5, David Scott2, Tinne Tuytelaars4, Jakob Verbeek6, Heng Wang6,
+Andrew Zisserman3
+University of Twente 2Dublin City University 3Oxford University
+KU Leuven 5Fraunhofer Sankt Augustin 6INRIA Grenoble"

+34cd99528d873e842083abec429457233fdb3226,Person Re-identification using group context,"Person Re-identification using group context
+Yiqiang Chen, Stefan Duffner, Andrei Stoian, Jean-Yves Dufour, Atilla
+Baskurt
+To cite this version:
+Yiqiang Chen, Stefan Duffner, Andrei Stoian, Jean-Yves Dufour, Atilla Baskurt. Person Re-
+identification using group context. Advanced Concepts for Intelligent Vision systems, Sep 2018,
+Poitiers, France. <hal-01895373>
+HAL Id: hal-01895373
+https://hal.archives-ouvertes.fr/hal-01895373
+Submitted on 15 Oct 2018
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+344f647463ef160956143ebc8ce370cca144961a,Confidence-Aware Probability Hypothesis Density Filter for Visual Multi-Object Tracking,

+3413af6c689eedb4fe3e7d6c5dc626647976307a,Horizontally Scalable Submodular Maximization,"Horizontally Scalable Submodular Maximization
+Mario Lucic1
+Olivier Bachem1
+Morteza Zadimoghaddam2
+Andreas Krause1
+Department of Computer Science, ETH Zurich, Switzerland
+Google Research, New York"

+34d484b47af705e303fc6987413dc0180f5f04a9,RI:Medium: Unsupervised and Weakly-Supervised Discovery of Facial Events,"RI:Medium: Unsupervised and Weakly-Supervised
+Discovery of Facial Events
+Introduction
+The face is one of the most powerful channels of nonverbal communication. Facial expression has been a
+focus of emotion research for over a hundred years [11]. It is central to several leading theories of emotion
+[16, 28, 44] and has been the focus of at times heated debate about issues in emotion science [17, 23, 40].
+Facial expression figures prominently in research on almost every aspect of emotion, including psychophys-
+iology [30], neural correlates [18], development [31], perception [4], addiction [24], social processes [26],
+depression [39] and other emotion disorders [46], to name a few. In general, facial expression provides cues
+bout emotional response, regulates interpersonal behavior, and communicates aspects of psychopathology.
+While people have believed for centuries that facial expressions can reveal what people are thinking and
+feeling, it is relatively recently that the face has been studied scientifically for what it can tell us about
+internal states, social behavior, and psychopathology.
+Faces possess their own language. Beginning with Darwin and his contemporaries, extensive efforts
+have been made to manually describe this language. A leading approach, the Facial Action Coding System
+(FACS) [19] , segments the visible effects of facial muscle activation into ”action units.” Because of its
+descriptive power, FACS has become the state of the art in manual measurement of facial expression and is
+widely used in studies of spontaneous facial behavior. The FACS taxonomy was develop by manually ob-
+serving graylevel variation between expressions in images and to a lesser extent by recording the electrical
+ctivity of underlying facial muscles [9]. Because of its importance to human social dynamics, person per-"

+3402b5e354eebcf443789f3c8d3c97eccd3ae55e,Multimodal Machine Learning: A Survey and Taxonomy,"Multimodal Machine Learning:
+A Survey and Taxonomy
+Tadas Baltruˇsaitis, Chaitanya Ahuja, and Louis-Philippe Morency"

+341002fac5ae6c193b78018a164d3c7295a495e4,von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification,"von Mises-Fisher Mixture Model-based Deep
+learning: Application to Face Verification
+Md. Abul Hasnat, Julien Bohn´e, Jonathan Milgram, St´ephane Gentric and Liming Chen"

+34ae449ae64cd2c6bfc2f102eac82bd606cd12f7,A Unified Model with Structured Output for Fashion Images Classification,"A Unified Model with Structured Output for Fashion Images
+Classification
+Beatriz Quintino Ferreira
+ISR, Instituto Superior Técnico, Universidade de Lisboa,
+Portugal
+João Faria
+Farfetch"

+34ec83c8ff214128e7a4a4763059eebac59268a6,Action Anticipation By Predicting Future Dynamic Images,"Action Anticipation By Predicting Future
+Dynamic Images
+Cristian Rodriguez, Basura Fernando and Hongdong Li
+Australian Centre for Robotic Vision, ANU, Canberra, Australia
+{cristian.rodriguez, basura.fernando,"

+34128e93f4af820cea65477526645cdc82e0e59b,Decomposed Learning for Joint Object Segmentation and Categorization,"TSAI et al.: DECOMPOSED LEARNING FOR OBJECT RECOGNITION
+Decomposed Learning for Joint Object
+Segmentation and Categorization
+Yi-Hsuan Tsai
+Jimei Yang
+Ming-Hsuan Yang
+Electrical Engineering and Computer
+Science
+University of California
+Merced, USA"

+34c594abba9bb7e5813cfae830e2c4db78cf138c,Transport-based single frame super resolution of very low resolution face images,"Transport-Based Single Frame Super Resolution of Very Low Resolution Face Images
+Soheil Kolouri1, Gustavo K. Rohde1,2
+Department of Biomedical Engineering, Carnegie Mellon University. 2Department of Electrical and Computer Engineering, Carnegie Mellon University.
+We describe a single-frame super-resolution method for reconstructing high-
+resolution (abbr. high-res) faces from very low-resolution (abbr. low-res)
+face images (e.g. smaller than 16× 16 pixels) by learning a nonlinear La-
+grangian model for the high-res face images. Our technique is based on the
+mathematics of optimal transport, and hence we denote it as transport-based
+SFSR (TB-SFSR). In the training phase, a nonlinear model of high-res fa-
+ial images is constructed based on transport maps that morph a reference
+image into the training face images. In the testing phase, the resolution of
+degraded image is enhanced by finding the model parameters that best fit
+the given low resolution data.
+Generally speaking, most SFSR methods [2, 3, 4, 5] are based on a
+linear model for the high-res images. Hence, ultimately, the majority of
+SFSR models in the literature can be written as, Ih(x) = ∑i wiψi(x), where
+Ih is a high-res image or a high-res image patch, w’s are weight coefficients,
+nd ψ’s are high-res images (or image patches), which are learned from the
+training images using a specific model. Here we propose a fundamentally
+different approach toward modeling high-res images. In our approach the"

+3412d9f3c620155bf3eb203f5817a310000f0c63,Biomarkers in autism spectrum disorder: the old and the new,"DOI 10.1007/s00213-013-3290-7
+REVIEW
+Biomarkers in autism spectrum disorder: the old and the new
+Barbara Ruggeri & Ugis Sarkans & Gunter Schumann &
+Antonio M. Persico
+Received: 15 April 2013 /Accepted: 7 September 2013
+# Springer-Verlag Berlin Heidelberg 2013"

+3490683560ca18d19884949dccca0ad7c98d4749,Content-Based Filtering for Video Sharing Social Networks,"Content-Based Filtering for Video Sharing Social Networks
+Eduardo Valle1, Sandra Avila2, Fillipe de Souza2,
+Marcelo Coelho2,3, Arnaldo de A. Araújo2
+RECOD Lab — DCA / FEEC / UNICAMP, Campinas, SP, Brazil
+NPDI Lab — DCC / UFMG, Belo Horizonte, MG, Brazil
+Preparatory School of Air Cadets — EPCAR, Barbacena, MG, Brazil
+{sandra, fdms, mcoelho,"

+340798e6b7a9863005863f38c1bbfda5cf85d201,"Image Retrieval, Object Recognition, and Discriminative Models","Image Retrieval, Object Recognition,
+nd Discriminative Models
+Von der Fakult¨at f¨ur Mathematik, Informatik und Naturwissenschaften der
+RWTH Aachen University zur Erlangung des akademischen Grades eines
+Doktors der Naturwissenschaften genehmigte Dissertation
+vorgelegt von
+Diplom-Informatiker Thomas Deselaers
+us Aachen
+Berichter:
+Universit¨atsprofessor Dr.-Ing. Hermann Ney
+Universit¨atsprofessor Dr. Bernt Schiele
+Tag der m¨undlichen Pr¨ufung: 2. Dezember 2008
+Diese Dissertation ist auf den Internetseiten der Hochschulbibliothek online verf¨ugbar."

+348035720dba98ff54f2ff8c375ace09287c89f6,3D Human Pose Estimation in RGBD Images for Robotic Task Learning,"D Human Pose Estimation in RGBD Images for Robotic Task Learning
+Christian Zimmermann*, Tim Welschehold*, Christian Dornhege, Wolfram Burgard and Thomas Brox"

+341ed69a6e5d7a89ff897c72c1456f50cfb23c96,"DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network","DAGER: Deep Age, Gender and Emotion
+Recognition Using Convolutional Neural
+Networks
+Afshin Dehghan
+Enrique G. Ortiz
+Guang Shu
+Syed Zain Masood
+{afshindehghan, egortiz, guangshu,
+Computer Vision Lab, Sighthound Inc., Winter Park, FL"

+3493b2232449635aff50fc17e03163cb4b66f1b5,Visual exploration of machine learning results using data cube analysis,"Visual Exploration of Machine Learning Results
+using Data Cube Analysis
+Minsuk Kahng
+Georgia Tech
+Atlanta, GA, USA
+Dezhi Fang
+Georgia Tech
+Atlanta, GA, USA
+Duen Horng (Polo) Chau
+Georgia Tech
+Atlanta, GA, USA"

+341de07abfb89bf78f3a72513c8bce40d654e0a3,Sparse and Deep Generalizations of the FRAME Model,"Annals of Mathematical Sciences and Applications
+Volume 3, Number 1, 211–254, 2018
+Sparse and deep generalizations of the
+FRAME model
+Ying Nian Wu, Jianwen Xie, Yang Lu, and Song-Chun Zhu
+In the pattern theoretical framework developed by Grenander and
+dvocated by Mumford for computer vision and pattern recog-
+nition, different patterns are represented by statistical generative
+models. The FRAME (Filters, Random fields, And Maximum En-
+tropy) model is such a generative model for texture patterns. It
+is a Markov random field model (or a Gibbs distribution, or an
+energy-based model) of stationary spatial processes. The log prob-
+bility density function of the model (or the energy function of the
+Gibbs distribution) is the sum of translation-invariant potential
+functions that are one-dimensional non-linear transformations of
+linear filter responses. In this paper, we review two generalizations
+of this model. One is a sparse FRAME model for non-stationary
+patterns such as objects, where the potential functions are loca-
+tion specific, and they are non-zero only at a selected collection of
+locations. The other generalization is a deep FRAME model where"

+341633ccce0f8c055dfc633765d905c269e28f82,Collaborative Representation for Face Recognition based on Bilateral Filtering,"Collaborative Representation for Face
+Recognition based on Bilateral Filtering
+Rokan Khaji1, Hong Li2, Ramadan Abdo Musleh3, Hongfeng Li4, Qabas Ali5
+School of Mathematics and Statistics,
+Huazhong University of Science & Technology , Wuhan, 430074, China
+Department of Mathematics, College of Science, Diyala University,  Diyala, 32001 ,Iraq
+,3,4School of Mathematics and Statistics,
+Huazhong University of Science & Technology , Wuhan, 430074, China
+5Department of Electronics and Information Engineering,
+Huazhong University of Science & Technology , Wuhan, 430074, China."

+34b6466e3e69547f6d464ad6b5660b1e629a5c35,Similar and Class Based Image Retrieval Using Hash Code,"IJCSNS International Journal of Computer Science and Network Security, VOL.15 No.3, March 2015
+Similar and Class Based Image Retrieval Using Hash Code
+B.Bharathi 1, Nagarjuna Reddy Akkim2
+Faculty of computing, Sathyabama University, Chennai, India
+Introduction"

+34f8086eb67eb2cd332cd2d6bca0dd8f1e8f1062,Face Recognition and Growth Prediction using a 3D Morphable Face Model,"Saarland University
+Faculty of Natural Sciences and Technology I
+Department of Computer Science
+Master’s Program in Computer Science
+Master’s Thesis
+Face Recognition and
+Growth Prediction using
+3D Morphable Face Model
+submitted by Kristina Scherbaum
+on October 30, 2007
+Supervisor
+Prof. Dr. Hans-Peter Seidel
+Saarland University – Computer Science Department
+Advisor
+Prof. Dr. Volker Blanz
+Universit¨at Siegen – Dekanat FB 12
+Reviewers
+Prof. Dr. Hans-Peter Seidel
+Prof. Dr. Volker Blanz"

+34e23b934794a5abff251698df09cbac5ad2dd56,Towards Engineering a Web-Scale Multimedia Service: A Case Study Using Spark,"Towards Engineering a Web-Scale Multimedia Service:
+A Case Study Using Spark∗
+Gylfi Þór Guðmundsson
+Reykjavik University
+Reykjavík, Iceland
+Björn Þór Jónsson
+Reykjavik University, Iceland
+IT University of Copenhagen, Denmark
+Laurent Amsaleg
+IRISA–CNRS
+Rennes, France
+Michael J. Franklin
+University of Chicago
+Chicago, IL, USA"

+3423f3dcb0edee1c5c6a5505b9e8c0bbdcffbd51,Nurses' Reactions to Patient Weight: Effects on Clinical Decisions,"University of Wisconsin Milwaukee
+UWM Digital Commons
+Theses and Dissertations
+May 2017
+Nurses' Reactions to Patient Weight: Effects on
+Clinical Decisions
+Heidi M. Pfeiffer
+University of Wisconsin-Milwaukee
+Follow this and additional works at: http://dc.uwm.edu/etd
+Part of the Psychology Commons
+Recommended Citation
+Pfeiffer, Heidi M., ""Nurses' Reactions to Patient Weight: Effects on Clinical Decisions"" (2017). Theses and Dissertations. 1524.
+http://dc.uwm.edu/etd/1524
+This Dissertation is brought to you for free and open access by UWM Digital Commons. It has been accepted for inclusion in Theses and Dissertations
+y an authorized administrator of UWM Digital Commons. For more information, please contact"

+344682f69dd9bec68d89a79b0b7f28a3891ab857,Perception of Social Cues of Danger in Autism Spectrum Disorders,"Perception of Social Cues of Danger in Autism Spectrum
+Disorders
+Nicole R. Zu¨ rcher1,2, Ophe´ lie Rogier1, Jasmine Boshyan2, Loyse Hippolyte1, Britt Russo1, Nanna Gillberg3,
+Adam Helles3, Torsten Ruest1, Eric Lemonnier4, Christopher Gillberg3, Nouchine Hadjikhani1,2,3*
+Brain Mind Institute, EPFL, Lausanne, Switzerland, 2 Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Massachusetts General Hospital,
+Charlestown, Massachusetts, United States of America, 3 Gillberg Centrum, University of Gothenburg, Gothenburg, Sweden, 4 Laboratoire de Neurosciences, Universite´ de
+Brest, Brest, France"

+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"

+3468740e4a9fc72a269f4f0ca8470ccd60925f92,Robustness Analysis of Visual QA Models by Basic Questions,"Robustness Analysis of Visual QA Models by Basic Questions
+Jia-Hong Huang
+Bernard Ghanem
+Cuong Duc Dao* Modar Alfadly*
+C. Huck Yang
+King Abdullah University of Science and Technology ; Georgia Institute of Technology
+{jiahong.huang, dao.cuong, modar.alfadly, ;"

+34b4f264578fc674dd2bf8d478ec1314739a5629,3D Novel Face Sample Modeling for Face Recognition,"D Novel Face Sample Modeling for Face
+Recognition
+Yun Ge, Yanfeng Sun, Baocai Yin, Hengliang Tang
+Beijing Key Laboratory of Multimedia and Intelligent Software Technology
+College of Computer Science and Technology, BJUT, Beijing, China
+Email:"

+34df09a9445089c8f23eff5b2a43a822c9713f6e,Boosting Chamfer Matching by Learning Chamfer Distance Normalization,"Boosting Chamfer Matching by Learning
+Chamfer Distance Normalization
+Tianyang Ma, Xingwei Yang, and Longin Jan Latecki
+Dept. of Computer and Information Sciences,Temple Unviersity, Philadelphia.
+{tianyang.ma,xingwei,latecki}.temple.edu"

+3410136b86b813b075a258842450835906d58600,A facial expression image database and norm for Asian population: A preliminary report,"Image Quality and System Performance VI, edited by Susan P. Farnand, Frans Gaykema,
+Proc. of SPIE-IS&T Electronic Imaging, SPIE Vol. 7242, 72421D · © 2009 SPIE-IS&T
+CCC code: 0277-786X/09/$18 · doi: 10.1117/12.806130
+SPIE-IS&T/ Vol. 7242  72421D-1
+Downloaded from SPIE Digital Library on 07 Oct 2009 to 140.112.113.225. Terms of Use:  http://spiedl.org/terms"

+5a9126f4478384f6615bf57b6da7299dc17b9a6b,3-D Facial Landmark Localization With Asymmetry Patterns and Shape Regression from Incomplete Local Features,"JOURNAL OF LATEX CLASS FILES, VOL. 11, NO. 4, DECEMBER 2012
+D Facial Landmark Localization with Asymmetry
+Patterns and Shape Regression from Incomplete
+Local Features
+Federico M. Sukno, John L. Waddington, and Paul F. Whelan"

+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"

+5a93f9084e59cb9730a498ff602a8c8703e5d8a5,Face Recognition using Local Quantized Patterns,"HUSSAIN ET. AL: FACE RECOGNITION USING LOCAL QUANTIZED PATTERNS
+Face Recognition using Local Quantized
+Patterns
+Sibt ul Hussain
+Thibault Napoléon
+Fréderic Jurie
+GREYC — CNRS UMR 6072,
+University of Caen Basse-Normandie,
+Caen, France"

+5ad65c6474c135a6c15e7127d8bb91de8c8a55a1,Designing Empathetic Animated Agents for a B-Learning Training Environment within the Electrical Domain,"Hernández,  Y.,  Pérez-Ramírez,  M.,  Zatarain-Cabada,  R.,  Barrón-Estrada,  L.,  &  Alor-Hernández,  G.  (2016).  Designing
+Empathetic  Animated Agents for a B-Learning Training Environment  within the Electrical Domain. Educational Technology  &
+Society, 19 (2), 116–131.
+Designing Empathetic Animated Agents for a B-Learning Training
+Environment within the Electrical Domain
+Yasmín Hernández1*, Miguel Pérez-Ramírez1, Ramón Zatarain-Cabada2, Lucía Barrón-
+Estrada2 and Giner Alor-Hernández3
+Instituto de Investigaciones Eléctricas, Gerencia de Tecnologías de la Información, Cuernavaca, México // 2Instituto
+Tecnológico de Culiacán, Departamento de Posgrado, Culiacán, México // 3Instituto Tecnológico de Orizaba,
+División de Estudios de Posgrado e Investigación, Orizaba, México // // //
+// //
+*Corresponding author"

+5a14209a5241877f92743d04282598f41fd3e50f,From BoW to CNN: Two Decades of Texture Representation for Texture Classification,"From BoW to CNN: Two Decades of Texture Representation for Texture
+Classification
+Li Liu 1,2 · Jie Chen 2 · Paul Fieguth 3 ·
+Guoying Zhao 2 · Rama Chellappa 4 · Matti Pietik¨ainen 2
+Received: date / Accepted: date"

+5afd6c5eb5cc1e8496bb78b8f7b3a00b2900deb3,Self-Supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos,"Self-supervised Learning of Pose Embeddings
+from Spatiotemporal Relations in Videos
+¨Omer S¨umer∗
+Tobias Dencker∗
+Bj¨orn Ommer
+Heidelberg Collaboratory for Image Processing
+IWR, Heidelberg University, Germany"

+5ac18d505ed6d10e8692cbb7d33f6852e6782692,"The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale","IJCV submission in review
+The Open Images Dataset V4
+Unified image classification, object detection, and visual relationship detection at scale
+Alina Kuznetsova Hassan Rom Neil Alldrin
+Shahab Kamali
+Stefan Popov Matteo Malloci Tom Duerig Vittorio Ferrari
+Jasper Uijlings
+Ivan Krasin
+Jordi Pont-Tuset"

+5ad4e9f947c1653c247d418f05dad758a3f9277b,WLFDB: Weakly Labeled Face Databases,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (TPAMI)
+WLFDB: Weakly Labeled Face Databases
+Dayong Wang†, Steven C.H. Hoi∗, and Jianke Zhu‡"

+5ac707ab88c565b1ed34fac89939f0cd2451eb22,Automated Object Recognition in Baggage Screening using Multiple X-ray Views,"Automated Object Recognition in Baggage Screening
+using Multiple X-ray Views
+Domingo Mery and Vladimir Riffo
+Department of Computer Science – Pontificia Universidad Cat´olica de Chile
+Av. Vicu˜na Mackenna 4860(143) – Santiago de Chile
+http://dmery.ing.puc.cl"

+5aeaee0e3a324970c02ae8463e1b358597457d03,Towards a Types-As-Classifiers Approach to Dialogue Processing in Human-Robot Interaction,"Towards a Types-As-Classifiers Approach to Dialogue Processing in
+Human-Robot Interaction
+HOUGH, J; JAMONE, L; Schlangen, D; Walck, G; Haschke, R; Workshop on Dialogue and
+Perception (DaP 2018)
+© The Author(s) 2018
+For additional information about this publication click this link.
+http://qmro.qmul.ac.uk/xmlui/handle/123456789/45947
+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"

+5a34a9bb264a2594c02b5f46b038aa1ec3389072,Label-Embedding for Image Classification,"Label-Embedding for Image Classification
+Zeynep Akata, Member, IEEE, Florent Perronnin, Member, IEEE, Zaid Harchaoui, Member, IEEE,
+nd Cordelia Schmid, Fellow, IEEE"

+5af5802cc6128bafbde1ae12e0ab41612aee9e3b,An object tracking method using extreme learning machine with online learning,"An Object Tracking Method Using Extreme
+Learning Machine with Online Learning
+Yuanlong Yu, Liyan Xie, and Zhiyong Huang
+College of Mathematics and Computer Science
+Fuzhou University
+Fuzhou, Fujian, 350116, China
+Emails: hzy"

+5ade87a54c8baec555c37d59071c6fb4a9a55cf7,Deep Learning For Video Saliency Detection,"Deep Learning For Video Saliency Detection
+Wenguan Wang, and Jianbing Shen, Senior Member, IEEE, and Ling Shao, Senior Member,"

+5a6b2f3a542322be153fc9104f3064f2a1bc76eb,"A French-Spanish Multimodal Speech Communication Corpus Incorporating Acoustic Data, Facial, Hands and Arms Gestures Information","Interspeech 2018
+-6 September 2018, Hyderabad
+0.21437/Interspeech.2018-2212"

+5a0209515ab62e008efeca31f80fa0a97031cd9d,Dataset fingerprints: Exploring image collections through data mining,"Dataset Fingerprints: Exploring Image Collections Through Data Mining
+Konstantinos Rematas1, Basura Fernando1, Frank Dellaert2, and Tinne Tuytelaars1
+KU Leuven, ESAT-PSI, iMinds
+Georgia Tech
+Figure 1: Given an image collection, our system extracts patterns of discriminative mid level features and uses the connection
+etween them to enable structure specific browsing."

+5a1669abdc4f958c589843cff2f4d83a11fe8007,Robust Recognition via ` 1-Minimization April,"Robust Recognition via ‘1-Minimization
+April 13, 2007"

+5a8d20ecd92d22bf077208a5e7b1bb008a9b7dbc,A new manifold distance measure for visual object categorization,"A New Manifold Distance Measure for Visual Object
+Categorization
+Fengfu Li, Xiayuan Huang, Hong Qiao and Bo Zhang
+index. The proposed distance is more robust"

+5aaa84090c50da903ea1d61495c0fe96a5470909,Image-embodied Knowledge Representation Learning,"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)
+of armourhas partFigure1:Examplesofentityimages.Fig.1demonstratessomeexamplesofentityimages.Eachentityhasmultipleimageswhichcanprovidesignificantvisu-alinformationthatintuitivelydescribestheappearancesandbehavioursofthisentity.Toutilizetherichinformationinimages,weproposetheImage-embodiedKnowledgeRepre-sentationLearningmodel(IKRL).Morespecifically,wefirstproposeanimageencoderwhichconsistsofaneuralrep-resentationmoduleandaprojectionmoduletogeneratetheimage-basedrepresentationforeachimageinstance.Second,weconstructtheaggregatedimage-basedrepresentationforeachentityjointlyconsideringallitsimageinstanceswithanattention-basedmethod.Finally,wejointlylearntheknowl-edgerepresentationswithtranslation-basedmethods.WeevaluatetheIKRLmodelonknowledgegraphcom-pletionandtripleclassification.Experimentalresultsdemon-stratethatourmodelachievesthestate-of-the-artperfor-mancesonbothtasks,whichconfirmsthesignificanceofvi-sualinformationinknowledgerepresentationlearning.ItalsoindicatesthatourIKRLmodeliscapableofencodingimageinformationwellintoknowledgerepresentations.Wedemon-stratethemaincontributionsofthisworkasfollows:(cid:15)WeproposeanovelIKRLmodelconsideringvisualin-formationinentityimagesforknowledgerepresentationlearning.Tothebestofourknowledge,thisisthefirstattempttocombineimageswithknowledgegraphsforknowledgerepresentationlearning.(cid:15)Weevaluateourmodelsonareal-worlddatasetandre-ceivepromisingperformancesonbothknowledgegraph"

+5af1e8a38b64c6694b9a34cd0b1596f2c905d3ff,Context-based trajectory descriptor for human activity profiling,"Context-based Trajectory Descriptor for Human
+Activity Profiling
+Eduardo M. Pereira
+INESC TEC and
+Faculty of Engineering
+of the University of Porto
+Rua Dr. Roberto Frias, 378
+Porto, Portugal 4200 - 465
+Email:
+Lucian Ciobanu
+INESC TEC
+Rua Dr. Roberto Frias, 378
+Porto, Portugal 4200 - 465
+Email:
+Jaime S. Cardoso
+INESC TEC and
+Faculty of Engineering
+of the University of Porto
+Rua Dr. Roberto Frias, 378
+Porto, Portugal 4200 - 465"

+5a4c6246758c522f68e75491eb65eafda375b701,Contourlet structural similarity for facial expression recognition,"978-1-4244-4296-6/10/$25.00 ©2010 IEEE
+ICASSP 2010"

+5aad5e7390211267f3511ffa75c69febe3b84cc7,Driver Gaze Region Estimation Without Using Eye Movement,"Driver Gaze Estimation
+Without Using Eye Movement
+Lex Fridman, Philipp Langhans, Joonbum Lee, Bryan Reimer
+MIT AgeLab"

+5a86842ab586de9d62d5badb2ad8f4f01eada885,Facial Emotion Recognition and Classification Using Hybridization Method,"International Journal of Engineering Research and General Science Volume 3, Issue 3, May-June, 2015
+ISSN 2091-2730
+Facial Emotion Recognition and Classification Using Hybridization
+Method
+Anchal Garg , Dr. Rohit Bajaj
+Deptt. of CSE, Chandigarh Engg. College,  Mohali, Punjab, India.
+07696449500"

+5ad88a16e2efe9bb67c20cdbd9b003ffb79c12ef,Real-time video event detection in crowded scenes using MPEG derived features: A multiple instance learning approach,"Manuscript Draft
+Manuscript Number: PRLETTERS-D-13-00222R2
+Title: Real-Time Video Event Detection in Crowded Scenes using MPEG Derived Features: a Multiple
+Instance Learning Approach
+Article Type: Special Issue: SIPRCA
+Keywords: Event Detection; Crowded Scene; Multiple Instance Learning;
+MPEG domain; Sparse Approximation; Random Matrix; Traffic
+Surveillance; Naive Bayes Model
+Corresponding Author: Mr. Jingxin Xu, M.D
+Corresponding Author's Institution: Queensland University of Technology
+First Author: Jingxin Xu, M.D
+Order of Authors: Jingxin Xu, M.D; Simon  Denman, PhD; Vikas  Reddy, PhD; Clinton Fookes, PhD;
+Sridha Sridhran, PhD"

+5ac8edd62fe23911e19d639287135f91e22421cc,Gender and 3D facial symmetry: What's the relationship?,"Gender and 3D Facial Symmetry: What’s the
+Relationship?
+Baiqiang Xia, Boulbaba Ben Amor, Hassen Drira, Mohamed Daoudi,
+Lahoucine Ballihi
+To cite this version:
+Baiqiang Xia, Boulbaba Ben Amor, Hassen Drira, Mohamed Daoudi, Lahoucine Ballihi. Gender
+nd 3D Facial Symmetry: What’s the Relationship?. 10th IEEE Conference on Automatic Face and
+Gesture Recognition (FG 2013), Apr 2013, shanghai, China. 2013. <hal-00771988>
+HAL Id: hal-00771988
+https://hal.archives-ouvertes.fr/hal-00771988
+Submitted on 9 Jan 2013
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,"

+5a4ec5c79f3699ba037a5f06d8ad309fb4ee682c,Automatic age and gender classification using supervised appearance model,"Downloaded From: https://www.spiedigitallibrary.org/journals/Journal-of-Electronic-Imaging on 12/17/2017 Terms of Use: https://www.spiedigitallibrary.org/terms-of-use
+AutomaticageandgenderclassificationusingsupervisedappearancemodelAliMainaBukarHassanUgailDavidConnahAliMainaBukar,HassanUgail,DavidConnah,“Automaticageandgenderclassificationusingsupervisedappearancemodel,”J.Electron.Imaging25(6),061605(2016),doi:10.1117/1.JEI.25.6.061605."

+5aed0f26549c6e64c5199048c4fd5fdb3c5e69d6,Human Expression Recognition using Facial Features,"International Journal of Computer Applications® (IJCA) (0975 – 8887)
+International Conference on Knowledge Collaboration in Engineering, ICKCE-2014
+Human Expression Recognition using Facial Features
+G.Saranya
+Post graduate student, Dept. of ECE
+Parisutham Institute of Technology & Science
+Thanjavur.
+Affiliated to Anna university, Chennai
+recognition  can  be  used"

+5a7520380d9960ff3b4f5f0fe526a00f63791e99,The Indian Spontaneous Expression Database for Emotion Recognition,"The Indian Spontaneous Expression
+Database for Emotion Recognition
+S L Happy, Student Member, IEEE, Priyadarshi Patnaik, Aurobinda Routray, Member, IEEE,
+nd Rajlakshmi Guha"

+5f4a873118e033e5e168ee99d64474b4cc4d94a3,Lessons Learned from Crime Caught on Camera,"Article
+Lessons Learned
+from Crime Caught
+on Camera
+Marie Rosenkrantz Lindegaard1,2
+nd Wim Bernasco1,3
+Journal of Research in Crime and
+Delinquency
+018, Vol. 55(1) 155-186
+ª The Author(s) 2018
+Reprints and permission:
+sagepub.com/journalsPermissions.nav
+DOI: 10.1177/0022427817727830
+journals.sagepub.com/home/jrc"

+5fff61302adc65d554d5db3722b8a604e62a8377,Additive Margin Softmax for Face Verification,"Additive Margin Softmax for Face Verification
+Feng Wang
+UESTC
+Weiyang Liu
+Georgia Tech
+Haijun Liu
+UESTC
+Jian Cheng
+UESTC
+haijun"

+5f943f9bfe3154fbd368034903ea11620d2946eb,Cascade Category-Aware Visual Search,"MiniManuscript.com
+The one stop shop for academic literature.
+07:00am  8 Dec, 2018
+Cascade Category-Aware Visual Search.
+Authors Zhang S, Tian Q, Huang Q, Gao W, Rui Y
+Volume
+Issue
+Pages"

+5fa6e4a23da0b39e4b35ac73a15d55cee8608736,RED-Net: A Recurrent Encoder–Decoder Network for Video-Based Face Alignment,"IJCV special issue (Best papers of ECCV 2016) manuscript No.
+(will be inserted by the editor)
+RED-Net:
+A Recurrent Encoder-Decoder Network for Video-based Face Alignment
+Xi Peng · Rogerio S. Feris · Xiaoyu Wang · Dimitris N. Metaxas
+Submitted: April 19 2017 / Revised: December 12 2017"

+5f871838710a6b408cf647aacb3b198983719c31,Locally Linear Regression for Pose-Invariant Face Recognition,"Locally Linear Regression for Pose-Invariant
+Face Recognition
+Xiujuan Chai, Shiguang Shan, Member, IEEE, Xilin Chen, Member, IEEE, and Wen Gao, Senior Member, IEEE"

+5fc621cdef59c38ef898a2adc2b4472a8396119a,Synthesizing Samples for Zero-shot Learning,"Synthesizing Samples for Zero-shot Learning
+IJCAI Anonymous Submission 2625"

+5f34c96ddcf992e1b8660b5cb01e3c311b05023c,Towards Online Iris and Periocular Recognition Under Relaxed Imaging Constraints,"IEEE Trans. Image Processing, 2013
+Towards Online Iris and Periocular Recognition under
+Relaxed Imaging Constraints
+Chun-Wei Tan, Ajay Kumar"

+5f58bf2c25826cb6ee927a1461aa72bd623157ff,Tasting Families of Features for Image Classification,"ICCV 2011 Submission #549. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
+Tasting Families of Features for Image Classification
+Anonymous ICCV submission
+Paper ID 549"

+5f92de3683b4fee28ad3f431c889e7c8bff604f8,"Performance study of Face Recognition systems using LBP and ICA descriptors with sparse representation-MRLSR and KNN Classifiers , respectively","International Journal of Computer Trends and Technology (IJCTT) – Volume 42 Number 1 – December 2016
+Performance study of Face Recognition
+systems using LBP and ICA descriptors
+with sparse representation - MRLSR and
+KNN Classifiers, respectively
+K Sarath1 and G. Sreenivasulu2
+PG scholar, Department of Electronics and Communication Engineering, SVU College of Engineering,
+Professor, Department of Electronics and Communication Engineering, SVU College of Engineering,
+Tirupathi, India
+Tirupathi, India
+sparse
+representation"

+5f344a4ef7edfd87c5c4bc531833774c3ed23542,Semisupervised Learning of Classifiers with Application to Human-computer Interaction,"
+5f02e49aa0fe467bbeb9de950e4abb6c99133feb,"Enhancing person re-identification by late fusion of low-, mid- and high-level features","Aalborg Universitet
+Enhancing Person Re-identification by Late Fusion of Low-, Mid-, and High-Level
+Features
+Lejbølle, Aske Rasch; Nasrollahi, Kamal; Moeslund, Thomas B.
+Published in:
+DOI (link to publication from Publisher):
+0.1049/iet-bmt.2016.0200
+Publication date:
+Document Version
+Accepted author manuscript, peer reviewed version
+Link to publication from Aalborg University
+Citation for published version (APA):
+Lejbølle, A. R., Nasrollahi, K., & Moeslund, T. B. (2018). Enhancing Person Re-identification by Late Fusion of
+General rights
+Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners
+nd it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.
+? Users may download and print one copy of any publication from the public portal for the purpose of private study or research.
+? You may not further distribute the material or use it for any profit-making activity or commercial gain
+? You may freely distribute the URL identifying the publication in the public portal ?
+Take down policy"

+5f19b98e5cd22198d25660d609cbd3f4a69c94e7,Combining Head Pose and Eye Location Information for Gaze Estimation,"Combining Head Pose and Eye Location Information
+for Gaze Estimation
+Roberto Valenti, Member, IEEE, Nicu Sebe, Member, IEEE, and Theo Gevers, Member, IEEE"

+5fc15baee1383d502775fab8ee91d56f4875429c,Factorial Discriminant Analysis for 3 D Face Recognition System using SVM Classifier,"International Journal of Computer Applications (0975 – 8887)
+International Conference on Information and Communication Technologies (ICICT-2014)
+Factorial Discriminant Analysis for
+D Face Recognition System using SVM Classifier
+P. S. Hiremath
+Department of P. G. Studies and Research in
+Computer Science,
+Gulbarga University, Gulbarga-585106
+Karnataka, India
+turned"

+5f6116b6e5f21da66a304e9f59f3e224e188caef,Behavior Is Everything: Towards Representing Concepts with Sensorimotor Contingencies,"Behavior is Everything – Towards Representing Concepts
+with Sensorimotor Contingencies
+Nicholas Hay, Michael Stark, Alexander Schlegel, Carter Wendelken,
+Dennis Park, Eric Purdy, Tom Silver, D. Scott Phoenix, and Dileep George
+Vicarious AI, San Francisco, CA, USA"

+5f0b7245bedfc984b327b8e144c3cba9d9b2a807,Morphological Primitive Patterns with Grain Components on LDP for Child and Adult Age Classification,"International Journal of Computer Applications (0975 – 8887)
+Volume 21– No.3, May 2011
+Morphological Primitive Patterns with Grain Components
+on LDP for Child and Adult Age Classification
+B.Sujatha
+Dr.V.Vijaya Kumar
+Associate Professor
+G.I.E.T, Rajahmundry
+Dean, Dept. of Comp. Sciences
+Head, SRRF-G.I.E.T
+JNTUK,Kakinada
+Andhra Pradesh, India
+Rajahmundry
+Andhra Pradesh, India
+M.Rama Bai
+Associate Professor
+M.G.I.T, JNTUH
+Hyderabad
+Andhra Pradesh, India"

+5f7354634e13c9fad64163d53beb0a8eb5df30e1,Sketch-Based Image Retrieval: Benchmark and Bag-of-Features Descriptors,"Sketch-Based Image Retrieval: Benchmark
+nd Bag-of-Features Descriptors
+Mathias Eitz, Kristian Hildebrand, Tamy Boubekeur and Marc Alexa"

+5ffd74d2873b7cba2cbc5fd295cc7fbdedca22a2,The Cityscapes Dataset,"The Cityscapes Dataset
+Marius Cordts1,2
+Mohamed Omran3
+Rodrigo Benenson3
+Sebastian Ramos1,4
+Uwe Franke1
+Timo Scharw¨achter1,2
+Markus Enzweiler1
+Stefan Roth2
+Bernt Schiele3
+Daimler AG R&D, 2TU Darmstadt, 3MPI Informatics, 4TU Dresden
+www.cityscapes-dataset.net"

+5f534bacc658f620a15b5647adecb0ea813286c8,Reliable object detection and segmentation using inpainting,"Reliable Object Detection and Segmentation using Inpainting
+Ji Hoon Joung, M. S. Ryoo, Sunglok Choi, and Sung-Rak Kim"

+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
+Active Appearance Models
+Joan Alabort-i-Medina · Stefanos Zafeiriou
+Received: date / Accepted: date"

+5fb5d9389e2a2a4302c81bcfc068a4c8d4efe70c,Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning,"Multiple Facial Attributes Estimation based on
+Weighted Heterogeneous Learning
+H.Fukui* T.Yamashita* Y.Kato* R.Matsui*
+T. Ogata** Y.Yamauchi* H.Fujiyoshi*
+*Chubu University
+**Abeja Inc.
+200, Matuoto-cho, Kasugai,
+-1-20, Toranomon, Minato-ku,
+Aichi, Japan
+Tokyo, Japan"

+5f769ba95ffea0ce76ac9d8e7cd47e2d1c91e1bf,Using Geometry to Detect Grasps in 3D Point Clouds,"Localizing antipodal grasps in point clouds
+Andreas ten Pas and Robert Platt"

+5f0e9cc18374a670dfea4698424c9d48494f3093,Online Domain Adaptation for Multi-Object Tracking,"GAIDON & VIG: ONLINE DOMAIN ADAPTATION FOR MULTI-OBJECT TRACKING
+Online Domain Adaptation for Multi-Object Tracking
+Computer Vision Group
+Xerox Research Centre Europe
+Meylan, France
+Adrien Gaidon
+Eleonora Vig"

+5fc371760fd4c8abe94b91ae2ca03d428ac05faa,Fear-specific amygdala function in children and adolescents on the fragile x spectrum: a dosage response of the FMR1 gene.,"doi:10.1093/cercor/bhs341
+Fear-Specific Amygdala Function in Children and Adolescents on the Fragile X Spectrum:
+A Dosage Response of the FMR1 Gene
+So-Yeon Kim1, Jessica Burris1, Frederick Bassal1, Kami Koldewyn5, Sumantra Chattarji6, Flora Tassone2, David Hessl2,3 and
+Susan M. Rivera1,2,4
+Center for Mind and Brain, University of California, Davis, CA 95618, USA, 2MIND Institute, University of California, Davis, CA
+95817, USA, 3Department of Psychiatry and Behavioral Sciences, University of California, Davis, CA 95817, USA, 4Department of
+Psychology, University of California, Davis, CA 95616, USA, 5McGovern Institute for Brain Research, MIT, MA 02139, USA and
+6National Center for Biological Sciences, Bangalore 560065, India
+Address correspondence to Susan M. Rivera, Center for Mind and Brain, University of California, Davis, 267 Cousteau Place, Davis, CA 95618,
+USA. Email:
+Mutations of the fragile X mental retardation 1 (FMR1) gene are the
+genetic cause of fragile X syndrome (FXS). The presence of signifi-
+ant socioemotional problems has been well documented in FXS
+lthough the brain basis of those deficits remains unspecified. Here,
+we investigated amygdala dysfunction and its relation to socioemo-
+tional deficits and FMR1 gene expression in children and adoles-
+ents on the FX spectrum (i.e., individuals whose trinucleotide CGG
+repeat expansion from 55 to over 200 places them somewhere
+within the fragile X diagnostic range from premutation to full"

+5f107c92dd1c3f294b53627a5de1c7c46d996994,Complex Eye Movement Pattern Biometrics: The Effects of Environment and Stimulus,"Complex Eye Movement Pattern Biometrics:
+The Effects of Environment and Stimulus
+Corey D. Holland, Student Member, IEEE and Oleg V. Komogortsev, Member, IEEE"

+5fd147f57fc087b35650f7f3891d457e4c745d48,Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields,"Published as a conference paper at ICLR 2018
+COULOMB GANS: PROVABLY OPTIMAL NASH EQUI-
+LIBRIA VIA POTENTIAL FIELDS
+Thomas Unterthiner1
+Bernhard Nessler1
+Calvin Seward1,2
+Günter Klambauer1
+Martin Heusel1
+Hubert Ramsauer1
+Sepp Hochreiter1
+LIT AI Lab & Institute of Bioinformatics, Johannes Kepler University Linz, Austria
+Zalando Research, Mühlenstraße 25, 10243 Berlin, Germany"

+5fc664202208aaf01c9b62da5dfdcd71fdadab29,Automatic Face Recognition from Video,rXiv:1504.05308v1  [cs.CV]  21 Apr 2015

+5fcde9236d654a0f92a76c1a3f07c0cad954985c,Personality-Dependent Referring Expression Generation,"Personality-dependent Referring Expression Generation
+Ivandr´e Paraboni, Danielle Sampaio Monteiro, and Alex Gwo Jen Lan
+University of S˜ao Paulo, School of Arts, Sciences and Humanities, S˜ao Paulo, Brazil"

+5f5164cf998a10d2bef37741adb562ab07fac413,A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TPAMI.2016.2545669, IEEE
+Transactions on Pattern Analysis and Machine Intelligence
+A Comprehensive Study on Cross-View Gait Based
+Human Identification with Deep CNNs
+Zifeng Wu, Yongzhen Huang, Liang Wang, Xiaogang Wang, and Tieniu Tan"

+5f0f8c9acc3e8eb50ca6e7d9c33cf3d9a8a54985,Structured Inhomogeneous Density Map Learning for Crowd Counting,"Structured Inhomogeneous Density Map Learning
+for Crowd Counting
+Hanhui Li, Xiangjian He, Hefeng Wu, Saeed Amirgholipour Kasmani, Ruomei Wang, Xiaonan Luo, Liang Lin"

+5fa1724a79a9f7090c54925f6ac52f1697d6b570,The Development of Multimodal Lexical Resources,"Proceedings of the Workshop on Grammar and Lexicon: Interactions and Interfaces,
+pages 41–47, Osaka, Japan, December 11 2016."

+5ff64afd70434b12e043ff39a91271eab6391124,Building Extraction in Very High Resolution Remote Sensing Imagery Using Deep Learning and Guided Filters,"Article
+Building Extraction in Very High Resolution
+nd Guided Filters
+Yongyang Xu 1 ID , Liang Wu 1,2, Zhong Xie 1,2,* and Zhanlong Chen 1
+Department of Information Engineering, China University of Geosciences, Wuhan 430074, China;
+(Y.X.); (L.W.); (Z.C.)
+National Engineering Research Center of Geographic Information System, Wuhan 430074, China
+* Correspondence:
+Received: 19 December 2017; Accepted: 16 January 2018; Published: 19 January 2018"

+33919313bb3cf09b00f9fa2253b30af33a52bc51,Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs,"Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs
+Anton Osokin∗,1 Jean-Baptiste Alayrac∗,1
+Isabella Lukasewitz1 Puneet K. Dokania2 Simon Lacoste-Julien1
+INRIA – ´Ecole Normale Sup´erieure, Paris, France
+Both authors contributed equally.
+INRIA – CentraleSup´elec, Chˆatenay-Malabry, France"

+33236cd0b9454ab88ec9deddfb8ce8e492056770,Salient social cues are prioritized in autism spectrum disorders despite overall decrease in social attention.,"J Autism Dev Disord
+DOI 10.1007/s10803-012-1710-x
+O R I G I N A L P A P E R
+Salient Social Cues are Prioritized in Autism Spectrum Disorders
+Despite Overall Decrease in Social Attention
+Coralie Chevallier • Pascal Huguet •
+Francesca Happe´ • Nathalie George •
+Laurence Conty
+Ó Springer Science+Business Media New York 2012"

+33a1a049d15e22befc7ddefdd3ae719ced8394bf,An Efficient Approach to Facial Feature Detection for Expression Recognition,"FULL PAPER
+International Journal of Recent Trends in Engineering, Vol 2, No. 1, November 2009
+An Efficient Approach to Facial Feature Detection
+for Expression Recognition
+S.P. Khandait1, P.D. Khandait2 and Dr.R.C.Thool2
+Deptt. of Info.Tech., K.D.K.C.E., Nagpur, India
+2Deptt.of Electronics Engg., K.D.K.C.E., Nagpur, India, 2Deptt. of Info.Tech., SGGSIET, Nanded"

+33d045b39bc4645ff2a8bffd83a49697631ff968,Learning Discrete Representations via Information Maximizing Self-Augmented Training,"Learning Discrete Representations via Information Maximizing
+Self Augmented Training
+Weihua Hu 1 Takeru Miyato 2 3 Seiya Tokui 2 1 Eiichi Matsumoto 2 1 Masashi Sugiyama 4 1"

+332339c32d41cc8176d360082b4d9faa90dadffa,"UberNet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory","UberNet : Training a ‘Universal’ Convolutional Neural Network for Low-, Mid-,
+nd High-Level Vision using Diverse Datasets and Limited Memory
+Iasonas Kokkinos
+CentraleSup´elec - INRIA"

+333aa36e80f1a7fa29cf069d81d4d2e12679bc67,Suggesting Sounds for Images from Video Collections,"Suggesting Sounds for Images
+from Video Collections
+Matthias Sol`er1, Jean-Charles Bazin2, Oliver Wang2, Andreas Krause1 and
+Alexander Sorkine-Hornung2
+Computer Science Department, ETH Z¨urich, Switzerland
+Disney Research, Switzerland"

+33ea400ca2105b9a3cd0e3c7c147e06c2d3c6d79,Vision based Decision-Support and Safety Systems for Robotic Surgery,"Vision based Decision-Support and Safety Systems for
+Robotic Surgery
+Suren Kumar
+PhD Candidate
+Madusudanan Sathia
+Narayanan*
+PhD Candidate
+Sukumar Misra
+Surgical Intern
+Sudha Garimella
+Assistant Professor
+Pankaj Singhal
+Director of Robotic Surgery
+Jason J. Corso
+Assistant Professor"

+33891ca0f8fab0eab503f4b4bcee009a1cf3b880,A video database of human faces under near Infra-Red illumination for human computer interaction applications,"A Video Database of Human Faces under Near Infra-Red
+Illumination for Human Computer Interaction Aplications
+S L Happy, Anirban Dasgupta, Anjith George, and Aurobinda Routray
+Department of Electrical Engineering
+Indian Institute of Technology Kharagpur"

+33792bb27ef392973e951ca5a5a3be4a22a0d0c6,Two-Dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis,"Two-dimensional Whitening Reconstruction for
+Enhancing Robustness of Principal Component
+Analysis
+Xiaoshuang Shi, Zhenhua Guo, Feiping Nie, Lin Yang, Jane You, and Dacheng Tao"

+3328674d71a18ed649e828963a0edb54348ee598,A face and palmprint recognition approach based on discriminant DCT feature extraction,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 34, NO. 6, DECEMBER 2004
+A Face and Palmprint Recognition Approach Based
+on Discriminant DCT Feature Extraction
+Xiao-Yuan Jing and David Zhang"

+3355aff37b5e4ba40fc689119fb48d403be288be,Deep Private-Feature Extraction,"Deep Private-Feature Extraction
+Seyed Ali Osia, Ali Taheri, Ali Shahin Shamsabadi, Kleomenis Katevas, Hamed Haddadi, Hamid R. Rabiee"

+339937141ffb547af8e746718fbf2365cc1570c8,Facial Emotion Recognition in Real Time,"Facial Emotion Recognition in Real Time
+Dan Duncan
+Gautam Shine
+Chris English"

+33ae696546eed070717192d393f75a1583cd8e2c,Subspace selection to suppress confounding source domain information in AAM transfer learning,

+33c485b59249af2d763d6951cd11e4080f3bbb3d,Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation,"Fusing 2D Uncertainty and 3D Cues for Monocular Body Pose Estimation
+Bugra Tekin
+Pablo M´arquez-Neila
+Mathieu Salzmann
+Pascal Fua
+EPFL, Switzerland"

+3316521a5527c7700af8ae6aef32a79a8b83672c,People-tracking-by-detection and people-detection-by-tracking,"People-Tracking-by-Detection and People-Detection-by-Tracking
+Mykhaylo Andriluka
+Stefan Roth
+Bernt Schiele
+Computer Science Department
+TU Darmstadt, Germany
+{andriluka, sroth,"

+3393459600368be2c4c9878a3f65a57dcc0c2cfa,Eigen-PEP for Video Face Recognition,"Eigen-PEP for Video Face Recognition
+Haoxiang Li†, Gang Hua†, Xiaohui Shen‡, Zhe Lin‡, Jonathan Brandt‡
+Stevens Institute of Technology ‡Adobe Systems Inc."

+330bcf952a5a20aac0e334aad1de4cd6ba6ed6eb,Pedestrian Detection at Day/Night Time with Visible and FIR Cameras: A Comparison,"Article
+Pedestrian Detection at Day/Night Time with Visible
+nd FIR Cameras: A Comparison
+Alejandro González 1,2,*, Zhijie Fang 1,2, Yainuvis Socarras 1,2, Joan Serrat 1,2, David Vázquez 1,2,
+Jiaolong Xu 1,2 and Antonio M. López 1,2
+Autonomous University of Barcelona, Cerdanyola, Barcelona 08193, Spain; (Z.F.);
+(Y.S.); (J.S.); (D.V.); (J.X.);
+(A.M.L.)
+Computer Vision Center, Cerdanyola, Barcelona 08193, Spain
+* Correspondence: Tel.: +34-622-605-455
+Academic Editor: Vittorio M. N. Passaro
+Received: 17 March 2016; Accepted: 30 May 2016; Published: 4 June 2016"

+3323a905a3960a663a9884540e8c3586cf362ba9,Face Hallucination Using Sparse Representation Algorithm,"International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
+Volume 4 Issue 9, September 2015
+Face Hallucination Using Sparse Representation
+Algorithm
+Sudhir Kumar                                                 Vikram Mutneja"

+336b2ae3e4db996538f930b754f7d233af56a628,Learning local descriptors by optimizing the keypoint-correspondence criterion,"Learning Local Descriptors by Optimizing the
+Keypoint-Correspondence Criterion: Applications to
+Face Matching, Learning from Unlabeled Videos
+nd 3D-Shape Retrieval
+Nenad Markuˇs†, Igor S. Pandˇzi´c†, and J¨orgen Ahlberg‡
+University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia
+Computer Vision Laboratory, Dept. of Electrical Engineering, Link¨oping University, SE-581 83 Link¨oping, Sweden"

+3352426a67eabe3516812cb66a77aeb8b4df4d1b,Joint Multi-view Face Alignment in the Wild,"JOURNAL OF LATEX CLASS FILES, VOL. 4, NO. 5, APRIL 2015
+Joint Multi-view Face Alignment in the Wild
+Jiankang Deng, Student Member, IEEE, George Trigeorgis, Yuxiang Zhou, and Stefanos Zafeiriou, Member, IEEE"

+333be4858994e6d9364341aeb520f7800a0f6a07,Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks,"Unsupervised Pixel–Level Domain Adaptation
+with Generative Adversarial Networks
+Konstantinos Bousmalis
+Google Brain
+San Francisco, CA
+Nathan Silberman
+Google Research
+New York, NY
+David Dohan
+Google Brain
+Mountain View, CA
+Dumitru Erhan
+Google Brain
+San Francisco, CA
+Dilip Krishnan
+Google Research
+Cambridge, MA"

+334d6c71b6bce8dfbd376c4203004bd4464c2099,Biconvex Relaxation for Semidefinite Programming in Computer Vision,"BICONVEX RELAXATION FOR SEMIDEFINITE PROGRAMMING IN
+COMPUTER VISION
+SOHIL SHAH*, ABHAY KUMAR*, DAVID JACOBS,
+CHRISTOPH STUDER, AND TOM GOLDSTEIN"

+33695e0779e67c7722449e9a3e2e55fde64cfd99,Riemannian coding and dictionary learning: Kernels to the rescue,"Riemannian Coding and Dictionary Learning: Kernels to the Rescue
+Mehrtash Harandi, Mathieu Salzmann
+Australian National University & NICTA
+While sparse coding on non-flat Riemannian manifolds has recently become
+increasingly popular, existing solutions either are dedicated to specific man-
+ifolds, or rely on optimization problems that are difficult to solve, especially
+when it comes to dictionary learning. In this paper, we propose to make use
+of kernels to perform coding and dictionary learning on Riemannian man-
+ifolds. To this end, we introduce a general Riemannian coding framework
+with its kernel-based counterpart. This lets us (i) generalize beyond the spe-
+ial case of sparse coding; (ii) introduce efficient solutions to two coding
+schemes; (iii) learn the kernel parameters; (iv) perform unsupervised and
+supervised dictionary learning in a much simpler manner than previous Rie-
+mannian coding approaches.
+i=1, di ∈ M, be a dictionary on a Rie-
+mannian manifold M, and x ∈ M be a query point on the manifold. We
+(cid:17)
+define a general Riemannian coding formulation as
+More specifically, let D = {di}N
+(cid:93)N"

+330dda431e0343a96f9d630a0b4ee526bd93ad11,Domain Adaptation for Visual Applications: A Comprehensive Survey,"Domain Adaptation for Visual Applications: A Comprehensive
+Survey
+Gabriela Csurka"

+33e20449aa40488c6d4b430a48edf5c4b43afdab,The Faces of Engagement: Automatic Recognition of Student Engagementfrom Facial Expressions,"TRANSACTIONS ON AFFECTIVE COMPUTING
+The Faces of Engagement: Automatic
+Recognition of Student Engagement from Facial
+Expressions
+Jacob Whitehill, Zewelanji Serpell, Yi-Ching Lin, Aysha Foster, and Javier R. Movellan"

+333e7ad7f915d8ee3bb43a93ea167d6026aa3c22,3D Assisted Face Recognition: Dealing With Expression Variations,"This is the author's version of an article that has been published in this journal. Changes were made to this version by the publisher prior to publication.
+The final version of record is available at http://dx.doi.org/10.1109/TIFS.2014.2309851
+DRAFT
+D Assisted Face Recognition: Dealing With
+Expression Variations
+Nesli Erdogmus, Member, IEEE, Jean-Luc Dugelay, Fellow Member, IEEE"

+334166a942acb15ccc4517cefde751a381512605,Facial Expression Analysis using Deep Learning,"International Research Journal of Engineering and Technology (IRJET)       e-ISSN: 2395-0056
+Volume: 04 Issue: 10 | Oct -2017                     www.irjet.net                                                                 p-ISSN: 2395-0072
+Facial Expression Analysis using Deep Learning
+Hemanth Singh1, Raman Patel2
+,2 M.Tech Student, SSG Engineering College, Odisha, India
+---------------------------------------------------------------------***---------------------------------------------------------------------
+examination structures need to analyse the facial exercises"

+335486cb9bb326e2b33fb03a74d0f9d671490ae7,Real-time pedestrian detection with deformable part models,"Real-time Pedestrian Detection with Deformable Part Models
+Hyunggi Cho, Paul E. Rybski, Aharon Bar-Hillel and Wende Zhang"

+3369692338841f14ce032fc5d0b5b4fe7cc79f1a,Visualising mental representations: A primer on noise-based reverse correlation in social psychology,"European Review of Social Psychology
+ISSN: 1046-3283 (Print) 1479-277X (Online) Journal homepage: http://www.tandfonline.com/loi/pers20
+Visualising mental representations: A primer
+on noise-based reverse correlation in social
+psychology
+L. Brinkman, A. Todorov & R. Dotsch
+To cite this article: L. Brinkman, A. Todorov & R. Dotsch (2017) Visualising mental
+representations: A primer on noise-based reverse correlation in social psychology, European
+Review of Social Psychology, 28:1, 333-361, DOI: 10.1080/10463283.2017.1381469
+To link to this article:  http://dx.doi.org/10.1080/10463283.2017.1381469
+© 2017 The Author(s). Published by Informa
+UK Limited, trading as Taylor & Francis
+Group.
+Published online: 16 Oct 2017.
+Submit your article to this journal
+View related articles
+View Crossmark data
+Full Terms & Conditions of access and use can be found at
+http://www.tandfonline.com/action/journalInformation?journalCode=pers20
+Download by: [Princeton University]"

+3347d3e9f8a2da66e1c00f6a1e56bb37d27145ae,devant le jury composé de:,"Spécialité: Informatique et Télécommunications    Ecole doctorale: Informatique, Télécommunications et Electronique de Paris  Présentée par   Raluca-Diana ŞAMBRA-PETRE  Pour obtenir le grade de DOCTEUR DE TELECOM SUDPARIS    MODELISATION ET INFERENCE 2D/3D DE CONNAISSANCES POUR L'ACCES INTELLIGENT AUX CONTENUS VISUELS ENRICHIS     Soutenue le 18 Juin 2013 à Paris                              devant le jury composé de :   Président de jury: Madame le Maître de Conférences, HDR Catherine ACHARD Rapporteur:  Monsieur le Professeur Marc ANTONINI Rapporteur:  Monsieur le Professeur Constantin VERTAN Examinateur:  Monsieur le Professeur Miroslaw BOBER  Examinateur:  Monsieur le Docteur Olivier MARTINOT Directeur de thèse:  Monsieur le Professeur Titus ZAHARIA    Thèse n°: 2013TELE0012      THESE DE DOCTORAT CONJOINT TELECOM SUDPARIS et L'UNIVERSITE PIERRE ET MARIE CURIE"

+3389fa2f292b72320f4554261eae34d57e2db7b6,Morphable Reflectance Fields for enhancing face recognition,"MITSUBISHI ELECTRIC RESEARCH LABORATORIES
+http://www.merl.com
+Morphable Reflectance Fields for Enhancing
+Face Recognition
+Ritwik Kumar, Michael Jones, Tim Marks
+TR2010-039
+July 2010"

+330126c9dd71b3b0319d6429737186f1f20057a7,Deep Ordinal Regression Based on Data Relationship for Small Datasets,Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)

+33e5d1c93e4195a1bfd303a94f0fc3f1c5e233bd,3D Face Recognition Under Expression Variations using Similarity Metrics Fusion,"(cid:176)2007 IEEE. Personal use of this material is permitted.
+However, permission to reprint/republish this material for ad-
+vertising or promotional purposes or for creating new collec-
+tive works for resale or redistribution to servers or lists, or to
+reuse any copyrighted component of this work in other works
+must be obtained from the IEEE."

+3387805b752dadfa34cb8eb63d9dc86aff49934a,"UNIVERSITY OF CALIFORNIA RIVERSIDE Exploration of Contextual Relationships for Robust Video Analysis: Applications in Camera Networks, Bio-image Analysis and Activity Forecasting A Dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Electrical Engineering","UNIVERSITY OF CALIFORNIA
+RIVERSIDE
+Exploration of Contextual Relationships for Robust Video Analysis:
+Applications in Camera Networks, Bio-image Analysis and Activity Forecasting
+A Dissertation submitted in partial satisfaction
+of the requirements for the degree of
+Doctor of Philosophy
+Electrical Engineering
+Anirban Chakraborty
+August 2014
+Dissertation Committee:
+Dr. Amit K. Roy-Chowdhury, Chairperson
+Dr. Ertem Tuncel
+Dr. Stefano Lonardi"

+33e7bc26047de3c1b607f04a644c2c03920201fd,Learning to Navigate Autonomously in Outdoor Environments : MAVNet,"Learning to Navigate Autonomously in Outdoor Environments :
+MAVNet
+Saumya Kumaar2, Arpit Sangotra3, Sudakshin Kumar3, Mayank Gupta3, Navaneethkrishnan B2 and S N Omkar1"

+05ce0e4e9ae2c7b2320decb3bb29e066f1dd96d3,Patch-wise low-dimensional probabilistic linear discriminant analysis for Face Recognition,"PATCH-WISE LOW-DIMENSIONAL PROBABILISTIC LINEAR DISCRIMINANT ANALYSIS
+FOR FACE RECOGNITION
+Vitomir ˇStruc, Nikola Paveˇsi´c
+Jerneja ˇZganec-Gros, Boˇstjan Vesnicer
+Faculty of Electrical Engineering UL
+Trˇzaˇska cesta 25, 1000 Ljubljana, Slovenia
+Alpineon Ltd., Ulica Iga Grudna 15
+000 Ljubljana, Slovenia"

+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
+Received: date / Accepted: date"

+05e658fed4a1ce877199a4ce1a8f8cf6f449a890,Domain Transfer Learning for Object and Action Recognition,

+0569d7d3d8f96140adc8ec5a6016fdc97e7ef8aa,Random tree walk toward instantaneous 3D human pose estimation,"Random Tree Walk toward Instantaneous 3D Human Pose Estimation
+Ho Yub Jung1, Soochahn Lee2, Yong Seok Heo3, Il Dong Yun1
+Div. of Comp. & Elect. Sys. Eng., Hankuk University of Foreign Studies. 2Dept. of Elect. Eng., Soonchunghyang University. 3Dept. of Elect. & Comp. Eng.,
+Ajou University.
+Figure 1: The red lines represents the random tree walks trained to find
+the head position. The random walk starts from the body center in (a). In
+(b), the head position is found with fewer steps by starting from the chest,
+which is much closer than the body center. (c) illustrates the kinematic tree
+implemented along with RTW. The adjacent joint positions can be used as
+the starting positions for new RTW. (d) shows the RTW path examples.
+Figure 2: Example results of the RTW from EVAL db [1]. Proposed ap-
+proach achieves the state-of-the-art accuracy without using the temporal
+prior. 64 RTW steps are taken for each joint to estimate human pose from
+single depth image. The RTW paths are drawn, and the expectations of
+RTW steps are used to find the joint positions. The pose estimation from a
+single frame takes less than 1 millisecond.
+The availability of accurate depth cameras have made real-time human
+pose estimation possible; however, there are still demands for faster algo-
+rithms on low power processors. This paper introduces 1000 frames per
+second pose estimation method on a single core 3.20 GHz CPU with no"

+05e3167206bc440d5aacf2256fd2e2e421b0808c,People Detection and Re-identification for Multi Surveillance Cameras,"People detection and re-identification for multi surveillance cameras
+Etienne Corvee, Slawomir Bak and Francois Bremond
+INRIA, Sophia Antipolis, Pulsar Team
+{etienne.corvee, slawomir.bak,
+Keywords:
+people detection, people tracking, people re-identification, local binary pattern, mean Riemannian covariance"

+05ad478ca69b935c1bba755ac1a2a90be6679129,Attribute Dominance: What Pops Out?,"Attribute Dominance: What Pops Out?
+Naman Turakhia
+Georgia Tech"

+050e7e32fdc48150f66cb5edf166790c69652b8b,Land Cover Segmentation of Airborne LiDAR Data Using Stochastic Atrous Network,"Article
+Land Cover Segmentation of Airborne LiDAR Data
+Using Stochastic Atrous Network
+Hasan Asy’ari Arief 1,* ID , Geir-Harald Strand 1,2 ID , Håvard Tveite 1 ID and Ulf Geir Indahl 1
+Faculty of Science and Technology, Norwegian University of Life Sciences, 1432 Ås, Norway;
+(G.H.S.); (H.T.); (U.G.I.)
+Division of Survey and Statistics, Norwegian Institute of Bioeconomy Research, 1431 Ås, Norway
+* Correspondence: Tel.: +47-453-91-706
+Received: 30 April 2018; Accepted: 17 June 2018; Published: 19 June 2018"

+051d8bbf12877c46ae9a598a386c5b72d1b103ac,Object Detection using Geometrical Context Feedback,"Int J Comput Vis (2012) 100:154–169
+DOI 10.1007/s11263-012-0547-2
+Object Detection using Geometrical Context Feedback
+Min Sun · Sid Yingze Bao · Silvio Savarese
+Received: 17 December 2010 / Accepted: 16 July 2012 / Published online: 2 August 2012
+© Springer Science+Business Media, LLC 2012"

+054738ce39920975b8dcc97e01b3b6cc0d0bdf32,Towards the design of an end-to-end automated system for image and video-based recognition,"Towards the Design of an End-to-End Automated
+System for Image and Video-based Recognition
+Rama Chellappa1, Jun-Cheng Chen3, Rajeev Ranjan1, Swami Sankaranarayanan1, Amit Kumar1,
+Vishal M. Patel2 and Carlos D. Castillo4"

+05a22ebec697cfa5e8e2883d68e6f4762bbdebd7,Few-Example Object Detection with Model Communication.,"Few-Example Object Detection
+with Model Communication
+Xuanyi Dong, Liang Zheng, Fan Ma, Yi Yang, Deyu Meng"

+05e03c48f32bd89c8a15ba82891f40f1cfdc7562,Scalable Robust Principal Component Analysis Using Grassmann Averages,"Scalable Robust Principal Component
+Analysis using Grassmann Averages
+Søren Hauberg, Aasa Feragen, Raffi Enficiaud, and Michael J. Black"

+05ce73c39368aca1d10ab48dbe0dee80ee084bdb,Multi-label Learning with the Rnns for Fashion Search,"Under review as a conference paper at ICLR 2017
+MULTI-LABEL LEARNING WITH THE RNNS
+FOR FASHION SEARCH
+Se-Yeoung Kim, Sang-Il Na, Ha-Yoon Kim, Moon-Ki Kim, Byoung-Ki Jeon
+Machine Intelligence Lab., SK Planet
+Seongnam City, South Korea
+Taewan Kim ∗
+Naver Labs, Naver Corp.
+Seongnam City, South Korea"

+056ba488898a1a1b32daec7a45e0d550e0c51ae4,Cascaded Continuous Regression for Real-Time Incremental Face Tracking,"Cascaded Continuous Regression for Real-time
+Incremental Face Tracking
+Enrique S´anchez-Lozano, Brais Martinez,
+Georgios Tzimiropoulos, and Michel Valstar
+Computer Vision Laboratory. University of Nottingham"

+050fdbd2e1aa8b1a09ed42b2e5cc24d4fe8c7371,Spatio-Temporal Scale Selection in Video Data,"Contents
+Scale Space and PDE Methods
+Spatio-Temporal Scale Selection in Video Data . . . . . . . . . . . . . . . . . . . . .
+Tony Lindeberg
+Dynamic Texture Recognition Using Time-Causal Spatio-Temporal
+Scale-Space Filters . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
+Ylva Jansson and Tony Lindeberg
+Corner Detection Using the Affine Morphological Scale Space . . . . . . . . . . .
+Luis Alvarez
+Nonlinear Spectral Image Fusion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
+Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger,
+Daniel Cremers, Guy Gilboa, and Carola-Bibiane Schönlieb
+Tubular Structure Segmentation Based on Heat Diffusion. . . . . . . . . . . . . . .
+Fang Yang and Laurent D. Cohen
+Analytic Existence and Uniqueness Results for PDE-Based Image
+Reconstruction with the Laplacian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
+Laurent Hoeltgen, Isaac Harris, Michael Breuß, and Andreas Kleefeld
+Combining Contrast Invariant L1 Data Fidelities with Nonlinear
+Spectral Image Decomposition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
+Leonie Zeune, Stephan A. van Gils, Leon W.M.M. Terstappen,"

+05a6a40c840c069631a825509f3095697592e1c4,IAN: The Individual Aggregation Network for Person Search,"IAN: The Individual Aggregation Network for
+Person Search
+Jimin XIAO, Member, IEEE, Yanchun XIE, Tammam TILLO, Senior Member, IEEE, Kaizhu HUANG, Senior
+Member, IEEE, Yunchao WEI, Member, IEEE, Jiashi FENG"

+052880031be0a760a5b606b2ad3d22f237e8af70,Datasets on object manipulation and interaction: a survey,"Datasets on object manipulation and interaction: a survey
+Yongqiang Huang and Yu Sun"

+05bba1f1626f02ef4ca497090b4a04d47f36ebb6,Social projection increases for positive targets: ascertaining the effect and exploring its antecedents.,"545039 PSPXXX10.1177/0146167214545039Personality and Social Psychology BulletinMachunsky et al.
+research-article2014
+Article
+Social Projection Increases for
+Positive Targets: Ascertaining the
+Effect and Exploring Its Antecedents
+Maya Machunsky1, Claudia Toma2, Vincent Yzerbyt3,
+nd Olivier Corneille3
+Personality and Social
+Psychology Bulletin
+014, Vol. 40(10) 1373 –1388
+© 2014 by the Society for Personality
+nd Social Psychology, Inc
+Reprints and permissions:
+sagepub.com/journalsPermissions.nav
+DOI: 10.1177/0146167214545039
+pspb.sagepub.com"

+053c2f592a7f153e5f3746aa5ab58b62f2cf1d21,Performance Evaluation of Illumination Normalization Techniques for Face Recognition,"International Journal of Research in
+Engineering & Technology (IJRET)
+ISSN 2321-8843
+Vol. 1, Issue 2, July 2013, 11-20
+© Impact Journals
+PERFORMANCE EVALUATION OF ILLUMINATION NORMALIZATION TECHNIQUES
+FOR FACE RECOGNITION
+A. P. C. SARATHA DEVI & V. MAHESH
+Department of Information Technology, PSG College of Technology, Coimbatore, Tamil Nadu, India"

+05ef5efd9e42f49dbb9e50ec3fe367f275a94931,Biologically Inspired Processing for Lighting Robust Face Recognition,"We are IntechOpen,
+the world’s leading publisher of
+Open Access books
+Built by scientists, for scientists
+,800
+16,000
+Open access books available
+International  authors and editors
+Downloads
+Our authors are among the
+Countries delivered to
+TOP 1%
+2.2%
+most cited scientists
+Contributors from top 500 universities
+Selection of our books indexed in the Book Citation Index
+in Web of Science™ Core Collection (BKCI)
+Interested in publishing with us?
+Contact
+Numbers displayed above are based on latest data collected."

+05487784c1c94e17c26862e342c1b81acfe11258,Spontaneous facial expression analysis based on temperature changes and head motions,"Spontaneous Facial Expression Analysis
+Based on Temperature
+Changes and Head Motions
+Peng Liu and Lijun Yin
+State University of New York-at Binghamton"

+051830b0ea58d1568f19ec3297e301d9789c9a76,Bringing Semantics into Focus Using Visual Abstraction,

+05ea7930ae26165e7e51ff11b91c7aa8d7722002,Learning And-Or Model to Represent Context and Occlusion for Car Detection and Viewpoint Estimation,"Learning And-Or Model to Represent Context and
+Occlusion for Car Detection and Viewpoint Estimation
+Tianfu Wu∗, Bo Li∗ and Song-Chun Zhu"

+05384ac77be3211fb7d221802bc79eb3c9fa2873,A Novel Image Classification System Based on Evidence Probabilistic Transformation,"International Journal of  Research in Computer and
+Communication Technology, Vol 4,Issue 2 ,February -2015
+ISSN (Online) 2278- 5841
+ISSN (Print)    2320- 5156
+A Novel Image Classification System Based on Evidence
+Probabilistic Transformation
+Department of Computer Science, Mansoura University, Mansoura 35516, Egypt
+A.E. Amin
+information
+different
+identity
+paper
+evidence"

+056892b7e573608e64c3c9130e8ce33353a94de2,Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform,"Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs
+nd a Discriminatively Trained Domain Transform
+Liang-Chieh Chen∗
+Jonathan T. Barron, George Papandreou, Kevin Murphy
+{barron, gpapan,
+Alan L. Yuille"

+056e2c82db905b93f7762a2ee7778d3aacc5a1f0,Bag of Attributes for Video Event Retrieval,"Bag of Attributes for Video Event Retrieval
+Leonardo A. Duarte1, Ot´avio A. B. Penatti2, and Jurandy Almeida1
+Institute of Science and Technology
+Federal University of S˜ao Paulo – UNIFESP
+2247-014, S˜ao Jos´e dos Campos, SP – Brazil
+Email: {leonardo.assuane,
+Advanced Technologies
+SAMSUNG Research Institute
+3097-160, Campinas, SP – Brazil
+Email:"

+05fcbe4009543ec8943bdc418ee81e9594b899a4,Social perception in autism spectrum disorders: impaired category selectivity for dynamic but not static images in ventral temporal cortex.,"doi:10.1093/cercor/bhs276
+Social Perception in Autism Spectrum Disorders: Impaired Category Selectivity
+for Dynamic but not Static Images in Ventral Temporal Cortex
+Jill Weisberg1, Shawn C. Milleville1, Lauren Kenworthy1,2, Gregory L. Wallace1, Stephen J. Gotts1,
+Michael S. Beauchamp3 and Alex Martin1
+NIMH, Laboratory of Brain and Cognition, Bethesda, MD 20850, 2Children’s National Medical Center, Center for Autism
+Spectrum Disorders, Rockville, MD 20850 and 3Department of Neurobiology and Anatomy, University of Texas Medical School
+t Houston, Houston, TX 77030, USA
+Address correspondence to Jill Weisberg, San Diego State University Research Foundation, Laboratory for Language and Cognitive Neuroscience,
+6495 Alvarado Rd, Suite 200, San Diego, CA 92120, USA. Email:
+Studies of autism spectrum disorders (ASDs) reveal dysfunction in
+the neural systems mediating object processing (particularly faces)
+nd social cognition, but few investigations have systematically as-
+sessed the specificity of the dysfunction. We compared cortical
+responses in typically developing adolescents and those with ASD
+to stimuli from distinct conceptual domains known to elicit cat-
+egory-related activity in separate neural systems. In Experiment 1,
+subjects made category decisions to photographs, videos, and
+point-light displays of people and tools. In Experiment 2, subjects
+interpreted displays of simple, geometric shapes in motion depicting"

+051a84f0e39126c1ebeeb379a405816d5d06604d,Biometric Recognition Performing in a Bioinspired System,"Cogn Comput (2009) 1:257–267
+DOI 10.1007/s12559-009-9018-7
+Biometric Recognition Performing in a Bioinspired System
+Joan Fa`bregas Æ Marcos Faundez-Zanuy
+Published online: 20 May 2009
+Ó Springer Science+Business Media, LLC 2009"

+053ff27aba868c64823dbbe2167a762dd3f33b53,Probabilistic Slow Features for Behavior Analysis,"This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.
+Probabilistic Slow Features for Behavior Analysis
+Lazaros Zafeiriou, Student Member, IEEE, Mihalis A. Nicolaou, Member, IEEE,
+Stefanos Zafeiriou, Member, IEEE, Symeon Nikitidis,
+nd Maja Pantic, Fellow, IEEE
+feature"

+0559fb9f5e8627fecc026c8ee6f7ad30e54ee929,Facial Expression Recognition,"Facial Expression Recognition
+Bogdan J. Matuszewski, Wei Quan and Lik-Kwan Shark
+ADSIP Research Centre, University of Central Lancashire
+. Introduction
+Facial  expressions  are  visible  signs  of  a  person’s  affective  state,  cognitive  activity  and
+personality.  Humans  can  perform  expression  recognition  with  a  remarkable  robustness
+without  conscious  effort  even  under  a  variety  of  adverse  conditions  such  as  partially
+occluded faces, different appearances and poor illumination. Over the last two decades, the
+dvances in imaging technology and ever increasing computing power have opened up a
+possibility of automatic facial expression recognition and this has led to significant research
+efforts from the computer vision and pattern recognition communities. One reason for this
+growing interest is due to a wide spectrum of possible applications in diverse areas, such as
+more engaging human-computer interaction (HCI) systems, video conferencing, augmented
+reality.  Additionally  from  the  biometric  perspective,  automatic  recognition  of  facial
+expressions has been investigated in the context of monitoring patients in the intensive care
+nd neonatal units for signs of pain and anxiety, behavioural research, identifying level of
+oncentration, and improving face recognition.
+Automatic  facial  expression  recognition  is  a  difficult  task  due  to  its  inherent  subjective
+nature,  which  is  additionally  hampered  by  usual  difficulties  encountered  in  pattern
+recognition and computer vision research. The vast majority of the current state-of-the-art"

+05a7be10fa9af8fb33ae2b5b72d108415519a698,Multilayer and Multimodal Fusion of Deep Neural Networks for Video Classification,"Multilayer and Multimodal Fusion of Deep Neural Networks
+for Video Classification
+Xiaodong Yang Pavlo Molchanov Jan Kautz
+{xiaodongy, pmolchanov,
+NVIDIA"

+057d879fe2d6c40ef79fe901cc62625a3b2ea8ba,EgoSampling: Fast-forward and stereo for egocentric videos,"EgoSampling: Fast-Forward and Stereo for Egocentric Videos
+Yair Poleg
+Tavi Halperin
+The Hebrew University
+The Hebrew University
+Jerusalem, Israel
+Jerusalem, Israel
+Chetan Arora
+Delhi, India
+Shmuel Peleg
+The Hebrew University
+Jerusalem, Israel"

+056be8a896f71be4a1dee67b01f4d59e3e982304,Generative Models of Visually Grounded Imagination,"Published as a conference paper at ICLR 2018
+GENERATIVE MODELS OF VISUALLY GROUNDED
+IMAGINATION
+Ramakrishna Vedantam∗
+Georgia Tech
+Ian Fischer
+Google Inc.
+Jonathan Huang
+Google Inc.
+Kevin Murphy
+Google Inc."

+050a149051a5d268fcc5539e8b654c2240070c82,Magisterské a doktorské studijnı́ programy,MAGISTERSKÉ A DOKTORSKÉSTUDIJNÍ PROGRAMY31. 5. 2018SBORNÍKSTUDENTSKÁ VĚDECKÁ KONFERENCE

+05fd17673f1500d46196b0e38857eb3eaf09296e,Fourier Descriptors Based on the Structure of the Human Primary Visual Cortex with Applications to Object Recognition,"(will be inserted by the editor)
+Fourier descriptors based on the structure of the human
+primary visual cortex with applications to object recognition
+Amine Bohi · Dario Prandi · Vincente Guis · Fr´ed´eric Bouchara ·
+Jean-Paul Gauthier
+Received: date / Accepted: date"

+0580edbd7865414c62a36da9504d1169dea78d6f,Baseline CNN structure analysis for facial expression recognition,"Baseline CNN structure analysis for facial expression recognition
+Minchul Shin1, Munsang Kim2 and Dong-Soo Kwon1"

+05a2547d976420f7d1de19907e16280d15199008,Semantic Road Layout Understanding by Generative Adversarial Inpainting,"Road layout understanding by generative
+dversarial inpainting
+Lorenzo Berlincioni, Federico Becattini, Leonardo Galteri, Lorenzo Seidenari,
+Alberto Del Bimbo"

+0534304bc09e92b2cfa0a8da59cfcf0be84d70a4,Towards reliable real-time person detection,"Towards Reliable Real-Time Person Detection
+Silviu-Tudor SERBAN1, Srinidhi MUKANAHALLIPATNA SIMHA1, Vasanth
+BATHRINARAYANAN1, Etienne CORVEE1 and Francois BREMOND1
+INRIA Sophia Antipolis - Mediterranee, 2004 route des Lucioles, Sophia Antipolis, France
+{silviu-tudor.serban,srinidhi.mukanahallipatna
+Keywords:
+Random sampling, Adaboost, Soft cascade, LBP channel features"

+0582d338a5e5b325c282e2ff13bfd62cf4d08108,Affordance Research in Developmental Robotics: A Survey,"Affordance Research in Developmental
+Robotics: A Survey
+Huaqing Min, Chang’an Yi, Ronghua Luo, Jinhui Zhu, and Sheng Bi
+apture"

+051aa14e0b7dd4231636db39398c0c15b2687682,Robust Subspace Clustering via Thresholding,"Robust Subspace Clustering via Thresholding
+Reinhard Heckel and Helmut B¨olcskei
+Dept. of IT & EE, ETH Zurich, Switzerland
+July 2013; last revised August 2015"

+054953d915f65b66485b653cd2ffbf61568b2849,Face Description with Local Invariant Features: Application to Face Recognition,"Face Description with Local Invariant Features: Application to Face Recognition
+{tag}                                  {/tag}
+International Journal of Computer Applications
+© 2010 by IJCA Journal
+Number 24 - Article 12
+Year of Publication: 2010
+Authors:
+Sanjay A. Pardeshi
+Dr. S.N. Talbar
+10.5120/555-726"

+9d58e8ab656772d2c8a99a9fb876d5611fe2fe20,Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video,"Beyond Temporal Pooling: Recurrence and Temporal
+Convolutions for Gesture Recognition in Video
+Lionel Pigou, A¨aron van den Oord∗ , Sander Dieleman∗ ,
+{lionel.pigou,aaron.vandenoord,sander.dieleman,
+Mieke Van Herreweghe & Joni Dambre
+mieke.vanherreweghe,
+Ghent University
+February 11, 2016"

+9d42df42132c3d76e3447ea61e900d3a6271f5fe,AutoCAP: An Automatic Caption Generation System based on the Text Knowledge Power Series Representation Model,"International Journal of Computer Applications (0975 – 8887)
+Advanced Computing and Communication Techniques for High Performance Applications (ICACCTHPA-2014)
+AutoCAP: An Automatic Caption Generation System
+ased on the Text Knowledge Power Series
+Representation Model
+Krishnapriya P S
+M.Tech Dept of CSE
+NSS College of Engineering
+Palakkad, Kerala"

+9d4c05c7c9284c8e303641b95e997f11df2dd1a7,Misalignment-robust Face Recognition via Efficient Locality-constrained Representation,"Misalignment-robust Face Recognition via Effi-
+ient Locality-constrained Representation
+Yandong Wen, Weiyang Liu, Meng Yang, Member, IEEE, Yuli Fu, Zhifeng Li, Senior Member, IEEE"

+9d8fd639a7aeab0dd1bc6eef9d11540199fd6fe2,L Earning to C Luster,"Workshop track - ICLR 2018
+LEARNING TO CLUSTER
+Benjamin B. Meier, Thilo Stadelmann & Oliver D¨urr
+ZHAW Datalab, Zurich University of Applied Sciences
+Winterthur, Switzerland"

+9d2ad0b408bddc9c5a713e250b52aa48f1786a46,Visual Recognition Using Local Quantized Patterns,"Visual Recognition using Local Quantized Patterns
+Sibt Ul Hussain, Bill Triggs
+To cite this version:
+Sibt Ul Hussain, Bill Triggs. Visual Recognition using Local Quantized Patterns. Andrew Fitzgibbon,
+Svetlana Lazebnik, Pietro Perona, Yoichi Sato, and Cordelia Schmid. ECCV 2012 - 12th European
+Conference on Computer Vision, Oct 2012, Florence, Italy. Springer, 7573, pp.716-729, 2012, Lecture
+Notes in Computer Science. <10.1007/978-3-642-33709-3_51>. <hal-00695627>
+HAL Id: hal-00695627
+https://hal.archives-ouvertes.fr/hal-00695627
+Submitted on 9 May 2012
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+9d357bbf014289fb5f64183c32aa64dc0bd9f454,Face Identification by Fitting a 3D Morphable Model Using Linear Shape and Texture Error Functions,"Face Identification by Fitting a 3D Morphable Model
+using Linear Shape and Texture Error Functions
+Sami Romdhani, Volker Blanz, and Thomas Vetter
+University of Freiburg, Instit¨ut f¨ur Informatik,
+Georges-K¨ohler-Allee 52, 79110 Freiburg, Germany,
+fromdhani, volker,"

+9d0bf3b351fb4d80cee5168af8367c5f6c8b2f3a,"The Tromso Infant Faces Database (TIF): Development, Validation and Application to Assess Parenting Experience on Clarity and Intensity Ratings","METHODS
+published: 24 March 2017
+doi: 10.3389/fpsyg.2017.00409
+The Tromso Infant Faces Database
+(TIF): Development, Validation and
+Application to Assess Parenting
+Experience on Clarity and Intensity
+Ratings
+Jana K. Maack†, Agnes Bohne†, Dag Nordahl, Lina Livsdatter, Åsne A. W. Lindahl,
+Morten Øvervoll, Catharina E. A. Wang and Gerit Pfuhl*
+Department of Psychology, UiT – The Arctic University of Norway, Tromsø, Norway
+Newborns and infants are highly depending on successfully communicating their needs;
+e.g., through crying and facial expressions. Although there is a growing interest in
+the mechanisms of and possible influences on the recognition of facial expressions in
+infants, heretofore there exists no validated database of emotional infant faces. In the
+present article we introduce a standardized and freely available face database containing
+Caucasian infant face images from 18 infants 4 to 12 months old. The development
+nd validation of the Tromsø Infant Faces (TIF) database is presented in Study 1. Over
+700 adults categorized the photographs by seven emotion categories (happy, sad,
+disgusted, angry, afraid, surprised, neutral) and rated intensity, clarity and their valance."

+9d6a2180a5f452356526edd8b4833180fa09cb3f,Photo Aesthetics Analysis via DCNN Feature Encoding,"Photo Aesthetics Analysis
+via DCNN Feature Encoding
+Hui-Jin Lee, Ki-Sang Hong, Henry Kang, and Seungyong Lee"

+9d67af2158807aa815b5a4485b076f7a18ce6ab4,Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding,"Model Adaptation with Synthetic and Real Data
+for Semantic Dense Foggy Scene Understanding
+Christos Sakaridis1(
+ETH Z¨urich, Z¨urich, Switzerland
+KU Leuven, Leuven, Belgium"

+9df7ea3eed6b0c9c067521119698cfa79cc1f91d,Representations and Matching Techniques for 3D Free-form Object and Face Recognition,"Representations and Matching
+Techniques for 3D Free-form Object and
+Face Recognition
+Ajmal Saeed Mian
+This thesis is presented for the degree of
+Doctor of Philosophy
+of The University of Western Australia
+School of Computer Science and Software Engineering.
+March 2006"

+9dc263210770e7e836040c8e9d0edff40814254b,A track before detect approach for sequential Bayesian tracking of multiple speech sources,"978-1-4244-4296-6/10/$25.00 ©2010 IEEE
+ICASSP 2010"

+9da9ee38d5845d39497b10b0ab442580e75ee4d3,Dynamic Video Segmentation Network,"Dynamic Video Segmentation Network
+Yu-Syuan Xu, Tsu-Jui Fu∗, Hsuan-Kung Yang∗, Student Member, IEEE and Chun-Yi Lee, Member, IEEE
+Elsa Lab, Department of Computer Science, National Tsing Hua Uiversity
+{yusean0118, rayfu1996ozig,"

+9d8978ee319d671283a90761aaed150c7cc9154b,Fader Networks: Manipulating Images by Sliding Attributes,"Fader Networks:
+Manipulating Images by Sliding Attributes
+Guillaume Lample1,2, Neil Zeghidour1,3, Nicolas Usunier1,
+Antoine Bordes1, Ludovic Denoyer2, Marc’Aurelio Ranzato1"

+9d839dfc9b6a274e7c193039dfa7166d3c07040b,Augmented faces,"Augmented Faces
+Matthias Dantone1
+Lukas Bossard1
+Till Quack1,2
+Luc van Gool1,3
+ETH Z¨urich
+Kooaba AG
+K.U. Leuven"

+9d1940f843c448cc378214ff6bad3c1279b1911a,Shape-aware Instance Segmentation,"Shape-aware Instance Segmentation
+Zeeshan Hayder1,2, Xuming He2,1
+Australian National University & 2Data61/CSIRO ∗
+Mathieu Salzmann2,3
+CVLab, EPFL, Switzerland"

+9da2abae3072fd9fcff0e13b8f00fc21f22d0085,NOKMeans: Non-Orthogonal K-means Hashing,"NOKMeans: Non-Orthogonal K-means Hashing
+Xiping Fu, Brendan McCane, Steven Mills, and Michael Albert
+Dep. of Computer Science, University of Otago, Dunedin, NZ"

+9d3ac3d29164c2665c371a3c71de75bea753eb47,Skeleton-Aided Articulated Motion Generation,"Skeleton-aided Articulated Motion Generation
+Yichao Yan, Jingwei Xu, Bingbing Ni, Xiaokang Yang"

+9d35d4fba9217404a7aab84a7d09e53c324710be,Biometrics Project: Bayesian Face Recognition,"Biometrics Project: Bayesian Face Recognition
+Jinwei Gu
+Computer Science Department"

+9d36c81b27e67c515df661913a54a797cd1260bb,3d Face Recognition Techniques - a Review,"Preeti.B.Sharma, Mahesh M. Goyani / International Journal of Engineering Research and
+Applications (IJERA)      ISSN: 2248-9622                           www.ijera.com
+Vol. 2, Issue 1,Jan-Feb 2012, pp.787-793
+3D FACE RECOGNITION TECHNIQUES - A REVIEW
+Preeti B. Sharma*, Mahesh M. Goyani**
+*(Department of Information Technology, Gujarat Technological University, India)
+**( Department of Computer Engineering, Gujarat Technological University, India)
+security  at  many  places"

+9d743bbef448e7c145aeb11e55cc05fdbafe9d6d,Person tracking and gesture recognition in challenging visibility conditions using 3D thermal sensing,"Person Tracking and Gesture  Recognition
+in Challenging Visibility Conditions
+Using 3D Thermal Sensing
+Ariel Kapusta and Patrick Beeson
+IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)
+August, 30, 2016"

+9dc70aa3d51a9403e1894a7fa535ace99b527861,3 Bayesian Tracking by Online Co-Training and Sequential Evolutionary Importance Resampling,"We are IntechOpen,
+the world’s leading publisher of
+Open Access books
+Built by scientists, for scientists
+,700
+08,500
+.7 M
+Open access books available
+International  authors and editors
+Downloads
+Our authors are among the
+Countries delivered to
+TOP 1%
+2.2%
+most cited scientists
+Contributors from top 500 universities
+Selection of our books indexed in the Book Citation Index
+in Web of Science™ Core Collection (BKCI)
+Interested in publishing with us?
+Contact"

+9d757c0fede931b1c6ac344f67767533043cba14,Search Based Face Annotation Using PCA and Unsupervised Label Refinement Algorithms,"Search Based Face Annotation Using PCA and
+Unsupervised Label Refinement Algorithms
+Shital Shinde1, Archana Chaugule2
+Computer Department, Savitribai Phule Pune University
+D.Y.Patil Institute of Engineering and Technology, Pimpri, Pune-18
+Mahatma Phulenagar, 120/2 Mahaganpati soc, Chinchwad, Pune-19, MH, India
+D.Y.Patil Institute of Engineering and Technology, Pimpri, Pune-18
+Computer Department, D.Y.PIET, Pimpri, Pune-18, MH, India
+presents"

+9d1e32f6af50354b64ca8f004746073473559056,A visual surveillance system for person re-identification,"International Conference on Quality Control by Artificial Vision 2017, edited by Hajime Nagahara,Kazunori Umeda, Atsushi Yamashita, Proc. of SPIE Vol. 10338, 103380D · © 2017 SPIECCC code: 0277-786X/17/$18 · doi: 10.1117/12.2266509Proc. of SPIE Vol. 10338  103380D-1"

+9d5db7427b44d83bf036ff4cff382c23c6c7b6d8,Video redaction: a survey and comparison of enabling technologies,"Downloaded From: https://biomedicaloptics.spiedigitallibrary.org/journals/Journal-of-Electronic-Imaging on 10/14/2018
+Terms of Use: https://biomedicaloptics.spiedigitallibrary.org/terms-of-use
+Videoredaction:asurveyandcomparisonofenablingtechnologiesShaganSahAmeyaShringiRaymondPtuchaAaronBurryRobertLoceShaganSah,AmeyaShringi,RaymondPtucha,AaronBurry,RobertLoce,“Videoredaction:asurveyandcomparisonofenablingtechnologies,”J.Electron.Imaging26(5),051406(2017),doi:10.1117/1.JEI.26.5.051406."

+9d60ad72bde7b62be3be0c30c09b7d03f9710c5f,A Survey: Face Recognition Techniques,"A Survey: Face Recognition Techniques
+Arun Agrawal
+Assistant Professor, ITM GOI
+Ranjana Sikarwar
+M Tech, ITM GOI
+video
+(Eigen
+passport-verification,"

+9d138bc60593c2770d968ba56172332773e02fa5,GPLAC: Generalizing Vision-Based Robotic Skills Using Weakly Labeled Images,

+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)."

+9d9166e1d9e80bbe772423384af53a3d5da898ae,Object Geolocation Using MRF Based Multi-Sensor Fusion,"OBJECT GEOLOCATION USING MRF BASED MULTI-SENSOR FUSION
+Vladimir A. Krylov and Rozenn Dahyot
+ADAPT Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland"

+9d518344d5c7d889f9c90c6193be4757fa584770,3 D registration based on a multi-references local parametrisation : Application to 3 D faces,"D registration based on a multi-references local parametrisation:
+Application to 3D faces
+Wieme Gadacha1, Faouzi Ghorbel1
+CRISTAL laboratory, GRIFT research group
+National School of Computer Sciences (NSCS), La Manouba 2010, Tunisia"

+9da2b79c6942852e8076cdaa4d4c93eb1ae363f1,Constraint-Based Visual Generation,"Constraint-Based Visual Generation
+Giuseppe Marra
+Francesco Giannini
+Marco Gori
+Michelangelo Diligenti
+Department of Information Engineering and Mathematical Sciences
+http://sailab.diism.unisi.it/
+October 9, 2018"

+9cabbb686883635d8755706ee4f1349d812d7ccb,Detection and Tracking of General Movable Objects in Large 3D Maps,"Detection and Tracking of General
+Movable Objects in Large 3D Maps
+Nils Bore, Johan Ekekrantz, Patric Jensfelt and John Folkesson
+Robotics, Perception and Learning Lab
+Royal Institute of Technology (KTH)
+Stockholm, SE-100 44, Sweden
+Email: {nbore, ekz, patric,"

+9cb152758ee57f2abcc0b59348752e528a2ed2f7,Full Video Processing for Mobile Audio-Visual Identity Verification,

+9cdb83ed96f5aa74bc4e2e9edacfbb5263e8fc37,Learning Mutual Visibility Relationship for Pedestrian Detection with a Deep Model,"Manuscript
+Click here to download Manuscript: Mutual-DBN-J2.pdf
+Click here to view linked References
+Noname manuscript No.
+(will be inserted by the editor)
+Learning Mutual Visibility Relationship for Pedestrian Detection with a
+Deep Model
+Wanli Ouyang · Xingyu Zeng · Xiaogang Wang
+Received: date / Accepted: date"

+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*
+*School of Electrical and Information Engineering, Xi’an Jiaotong University, Xi’an, China
+’CNRS-LTCI, TELECOM-ParisTech, Paris, France"

+9cd7487e0eed11dabc94dd867178204c53eb2270,Self-Organizing Traffic Lights : A Pedestrian Oriented Approach,"Self-Organizing Traffic Lights: A Pedestrian
+Oriented Approach
+Jessica S. Souza1, Cesar A. M. Ferreira2, Cassio E. dos Santos Jr3, Victor H. C. Melo4, William Robson Schwartz4
+Computer Science Department, Federal University of Minas Gerais, Belo Horizonte, Brazil
+the vehicular and pedestrian traffic. One of"

+9ca82f5936723a773fb44336cd66c315f2024d34,Latent-Class Hough Forests for 3D Object Detection and Pose Estimation,"Latent-Class Hough Forests for 3D Object Detection
+nd Pose Estimation
+Alykhan Tejani, Danhang Tang, Rigas Kouskouridas, and Tae-Kyun Kim
+Imperial Collge London"

+9c1860de6d6e991a45325c997bf9651c8a9d716f,3D reconstruction and face recognition using kernel-based ICA and neural networks,"D Reconstruction and Face Recognition Using Kernel-Based
+ICA and Neural Networks
+Cheng-Jian Lin                  Ya-Tzu Huang
+Chi-Yung Lee
+Dept. of Electrical                Dept. of CSIE                    Dept. of CSIE
+Engineering              Chaoyang University              Nankai Institute of
+National University            of Technology                        Technology
+of Kaohsiung"

+9c341221e19fac7a5e38b9fe5c62361f780a7f08,Productivity Effects of Information Diffusion in Networks Paper 234,"A research and education initiative at the MIT
+Sloan School of Management
+Productivity Effects of Information
+Diffusion in Networks
+Paper 234
+July 2007
+Sinan Aral
+Erik Brynjolfsson
+Marshall Van Alstyne
+For more information,
+please visit our website at  http://digital.mit.edu
+or contact the Center directly at
+or 617-253-7054"

+9c2f3e9c223153b70f37ee84224d67b5a577bd58,Towards unlocking web video: Automatic people tracking and clustering,"Towards Unlocking Web Video: Automatic People Tracking and Clustering
+Alex Holub*, Pierre Moreels*, Atiq Islam*, Andrei Makhanov*, Rui Yang*
+Ooyala Inc, 800 W. El Camino Real, Suite 350, Mountain View, CA 94040
+*All authors contributed equally to this work"

+9cc4abd2ec10e5fa94ff846c5ee27377caf17cf0,Improved Techniques for GAN based Facial Inpainting,"Improved Techniques for GAN based Facial
+Inpainting
+Avisek Lahiri*, Arnav Jain*, Divyasri Nadendla and Prabir Kumar Biswas, Senior Member, IEEE"

+9cf69de9e06e39f7f7ce643b3327bf69be8b9678,SHREC ’ 18 track : Recognition of geometric patterns over 3 D models,"SHREC’18 track: Recognition of geometric patterns
+over 3D models
+S Biasotti, E. Moscoso Thompson, L Bathe, S Berretti, A. Giachetti, T
+Lejemble, N Mellado, K Moustakas, Iason Manolas, Dimitrios Dimou, et al.
+To cite this version:
+S Biasotti, E. Moscoso Thompson, L Bathe, S Berretti, A. Giachetti, et al.. SHREC’18 track: Recog-
+nition of geometric patterns over 3D models. Eurographics Workshop on 3D Object Retrieval, 2018.
+<hal-01774423>
+https://hal-mines-paristech.archives-ouvertes.fr/hal-01774423
+HAL Id: hal-01774423
+Submitted on 30 Apr 2018
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,"

+9c576520ed9c960270715f790a62b9337ce88bd2,Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking,"Beyond Pixels: Leveraging Geometry and Shape Cues for Online
+Multi-Object Tracking
+Sarthak Sharma1∗, Junaid Ahmed Ansari1∗, J. Krishna Murthy2, K. Mahdava Krishna1
+Robotics Research Center, KCIS, IIIT Hyderabad, India
+Mila, Universite de Montreal, Canada
+denotes equal contribution
+Fig. 1. An illustration of the proposed method. The first two rows show objects tracks in frames t and t + 1. The bottom row depicts how 3D position
+nd orientation information is propagated from frame t to frame t + 1. This information is used to specify search areas for each object in the subsequent
+frame, and this greatly reduces the number of pairwise costs that are to be computed."

+9ca7899338129f4ba6744f801e722d53a44e4622,Deep neural networks regularization for structured output prediction,"Deep Neural Networks Regularization for Structured
+Output Prediction
+Soufiane Belharbi∗
+INSA Rouen, LITIS
+76000 Rouen, France
+Clément Chatelain
+INSA Rouen, LITIS
+76000 Rouen, France
+Romain Hérault
+INSA Rouen, LITIS
+76000 Rouen, France
+Sébastien Adam
+INSA Rouen, LITIS
+76000 Rouen, France
+Normandie Univ, UNIROUEN, UNIHAVRE,
+Normandie Univ, UNIROUEN, UNIHAVRE,
+Normandie Univ, UNIROUEN, UNIHAVRE,
+Normandie Univ, UNIROUEN, UNIHAVRE,"

+9c3b9dee9da817134325357afbebbd1a0d67cab2,Deep Learning for Saliency Prediction in Natural Video,"Deep Learning for Saliency Prediction in Natural Video
+Souad CHAABOUNIa,b, Jenny BENOIS-PINEAUa, Ofer HADARc, Chokri
+BEN AMARb
+Universit´e de Bordeaux, Laboratoire Bordelais de Recherche en Informatique, Bˆatiment
+Sfax university, Research Groups in Intelligent Machines, National Engineering School of
+A30, F-33405 Talence cedex, France
+Communication Systems Engineering department, Ben Gurion University of the Nagev
+Sfax (ENIS), Tunisia"

+9c731b820c495904a6f7d255d7e6a3bf9e5fc365,Geometric inpainting of 3D structures,"Geometric inpainting of 3D structures
+Pratyush Sahay, A.N. Rajagopalan
+Indian Institute of Technology Madras
+Chennai, India"

+9c889616034adce2af05d74eac44cf43a8106468,Binary Quadratic Programing for Online Tracking of Hundreds of People in Extremely Crowded Scenes,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Binary Quadratic Programing for Online Tracking
+of Hundreds of People in Extremely Crowded
+Scenes
+Afshin Dehghan, Member, IEEE, and Mubarak Shah, Fellow, IEEE"

+9cf6d66a0b4e5a3347466a60caea411d67c4b5b7,Joint transfer component analysis and metric learning for person re-identification,"Joint transfer component analysis and
+metric learning for person re-identification
+Yixiu Liu, Yunzhou Zhang✉, Sonya Coleman and
+Jianning Chi
+nd efficient metric
+A novel
+learning strategy for person
+re-identification is proposed. Person re-identification is formulated as
+multi-domain learning problem. The assumption that the feature dis-
+tributions from different camera views are the same is overthrown in
+this Letter. ID-based transfer component analysis (IDB-TCA) is pro-
+posed to learn a shared subspace, in which the differences in the
+feature distribution between source domain and target domain are sig-
+nificantly reduced. Experimental evaluation on the CUHK01 dataset
+demonstrates that metric learning with IDB-TCA embedded outper-
+forms state-of-art metric methods for person re-identification.
+Introduction: Person re-identification, aiming to finding the images that
+match the target person in a large-scale image library, greatly reduces the
+time cost of human search. Due to its great significance to visual super-
+vision, it has rapidly become a research hotspot in the field of computer"

+9c93512df188d7dbab63ebe47586a930559e6279,Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms,"Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms
+{tag}                                                 {/tag}
+International Journal of Computer Applications
+Foundation of Computer Science (FCS), NY, USA
+Volume 134
+Number 7
+Year of Publication: 2016
+Authors:
+Filani Araoluwa S., Adetunmbi Adebayo O.
+10.5120/ijca2016907932
+{bibtex}2016907932.bib{/bibtex}"

+9cd8e1ccc5a410c7f31c7e404588597c0bb1952b,Whats Your Type ? Personalized Prediction of Facial Attractiveness,"Whats Your Type? Personalized Prediction of
+Facial Attractiveness
+Sam Crognale, Computer Science, Danish Shabbir Electrical Engineering
+INTRODUCTION
+Attempts to obtain a universal model of facial beauty by
+the  way  of  symmetry,  golden  ratios,  and  measured
+placement of various facial features fall short in explaining
+the varied attraction that is actually witnessed in the world.
+In this investigation, we devise an application to give a user
+some insight about their ‘type’ as users swipe yes or no on a
+large dataset of images
+There  is  a  wealth  of  interesting  literature  attempting  to
+map the psychophysics of attraction. For example, Johnston
+nd Franklin (1993) use a genetic algorithm which evolves a
+“most  beautiful”  female  face  according  to  interactive  user
+selections. They sought to  mimic the way humans filter for
+features they find the most attractive.
+Our approach builds on Kagian et. al (2007), where it was
+shown that feature selection and training procedure with the
+original geometric features instead of the eigenfeatures fails"

+9c1664f69d0d832e05759e8f2f001774fad354d6,Action Representations in Robotics: A Taxonomy and Systematic Classification,"Action representations in robotics: A
+taxonomy and systematic classification
+Journal Title
+XX(X):1–32
+(cid:13)The Author(s) 2016
+Reprints and permission:
+sagepub.co.uk/journalsPermissions.nav
+DOI: 10.1177/ToBeAssigned
+www.sagepub.com/
+Philipp Zech, Erwan Renaudo, Simon Haller, Xiang Zhang and Justus Piater"

+9caa7f125d3e861450bc3685699fceeaebea04d8,Designing Video Surveillance Systems as Services,"Designing Video Surveillance Systems as
+Services
+R. Cucchiara and A. Prati and R. Vezzani"

+9c2039d036c01e421176d33c1436633d03be4678,Review of person re-identification techniques,"Received on 21st February 2013
+Revised on 14th November 2013
+Accepted on 18th December 2013
+doi: 10.1049/iet-cvi.2013.0180
+www.ietdl.org
+ISSN 1751-9632
+Review of person re-identification techniques
+Mohammad Ali Saghafi1, Aini Hussain1, Halimah Badioze Zaman2,
+Mohamad Hanif Md. Saad1
+Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi, Malaysia
+Institute of Visual Informatics, Universiti Kebangsaan Malaysia (UKM), Bangi, Malaysia
+E-mail:"

+9c07704226e536834c4a8c01e1eb428584bacec6,Benchmarking Single-Image Dehazing and Beyond,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Benchmarking Single Image Dehazing and Beyond
+Boyi Li*, Wenqi Ren*, Member, IEEE, Dengpan Fu*, Dacheng Tao, Fellow, IEEE, Dan Feng, Member, IEEE,
+Wenjun Zeng, Fellow, IEEE and Zhangyang Wang†, Member, IEEE."

+9cc3172efb42d2f9fa1b9ae7b7eef9cc349cdef9,Imbalanced Deep Learning by Minority Class Incremental Rectification,"Imbalanced Deep Learning by Minority Class
+Incremental Rectification
+Qi Dong, Shaogang Gong, and Xiatian Zhu"

+9c59304a619b7d503be95bd560f90be976a5309a,DenseASPP for Semantic Segmentation in Street Scenes,"DenseASPP for Semantic Segmentation in Street Scenes
+Maoke Yang
+Kun Yu
+Chi Zhang
+DeepMotion
+Zhiwei Li
+Kuiyuan Yang
+{maokeyang, kunyu, chizhang, zhiweili,"

+9cd3ea5cbbe0716fe19ff750940222cdedb22fc8,Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Scientific Question Answering,"Learning to Attend On Essential Terms: An Enhanced Retriever-Reader
+Model for Scientific Question Answering
+Jianmo Ni1,2∗, Chenguang Zhu1, Weizhu Chen1, Julian McAuley2
+Microsoft Business Applications Group AI Research
+Department of Computer Science, UC San Diego"

+9c065dfb26ce280610a492c887b7f6beccf27319,Learning from Video and Text via Large-Scale Discriminative Clustering,"Learning from Video and Text via Large-Scale Discriminative Clustering
+Antoine Miech1,2
+Jean-Baptiste Alayrac1,2
+Piotr Bojanowski2
+Ivan Laptev 1,2
+Josef Sivic1,2,3
+´Ecole Normale Sup´erieure
+Inria
+CIIRC"

+9c781f7fd5d8168ddae1ce5bb4a77e3ca12b40b6,Attribute Based Face Classification Using Support Vector Machine,"International Research Journal of Engineering and Technology (IRJET)      e-ISSN: 2395 -0056
+Volume: 03 Issue: 07 | July-2016                       www.irjet.net                                                               p-ISSN: 2395-0072
+Attribute Based Face Classification Using Support Vector Machine
+Brindha.M1, Amsaveni.R2
+Research Scholar, Dept. of Computer Science, PSGR Krishnammal College for Women, Coimbatore
+Assistant Professor, Dept. of Information Technology, PSGR Krishnammal College for Women, Coimbatore."

+9c8da385750db215dc0728dc310251b320d319af,Deep embodiment: grounding semantics in perceptual modalities,"Technical Report
+UCAM-CL-TR-899
+ISSN 1476-2986
+Number 899
+Computer Laboratory
+Deep embodiment:
+grounding semantics
+in perceptual modalities
+Douwe Kiela
+February 2017
+5 JJ Thomson Avenue
+Cambridge CB3 0FD
+United Kingdom
+phone +44 1223 763500
+http://www.cl.cam.ac.uk/"

+9c8a2d66b8fd6973751b8ee2fe6738327968cfcb,Exploring a model of far-from-equilibrium computation,"Exploring a model of far-from-equilibrium
+omputation
+R˘azvan V. Florian
+Center for Cognitive and Neural Studies (Coneural)
+Str. Saturn 24, 400504 Cluj-Napoca, Romania
+July 10, 2005"

+9c49e4ba8ad0ba4634fe9306fb612695ed2b8cae,Satellite Imagery Feature Detection using Deep Convolutional Neural Network: A Kaggle Competition,"Satellite Imagery Feature Detection using
+Deep Convolutional Neural Network: A Kaggle Competition
+Vladimir Iglovikov
+True Accord
+Sergey Mushinskiy
+Open Data Science
+Vladimir Osin
+AeroState"

+9ce0d64125fbaf625c466d86221505ad2aced7b1,Recognizing expressions of children in real life scenarios View project PhD ( Doctor of Philosophy ) View project,"Saliency Based Framework for Facial Expression
+Recognition
+Rizwan Ahmed Khan, Alexandre Meyer, Hubert Konik, Saïda Bouakaz
+To cite this version:
+Rizwan Ahmed Khan, Alexandre Meyer, Hubert Konik, Saïda Bouakaz. Saliency Based Framework for
+Facial Expression Recognition. Frontiers of Computer Science, 2017, <10.1007/s11704-017-6114-9>.
+<hal-01546192>
+HAL Id: hal-01546192
+https://hal.archives-ouvertes.fr/hal-01546192
+Submitted on 23 Jun 2017
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+9c6d92f3d796242332ebf419a4f9b584864cfa15,Genetic Model Optimization for Hausdorff Distance-Based Face Localization,"(cid:176) In Proc. International ECCV 2002 Workshop on Biometric Authentication,
+Springer, Lecture Notes in Computer Science, LNCS-2359, pp. 103{111,
+Copenhagen, Denmark, June 2002.
+Genetic Model Optimization
+for Hausdorfi Distance-Based Face Localization
+Klaus J. Kirchberg, Oliver Jesorsky, and Robert W. Frischholz
+BioID AG, Germany
+WWW home page: http://www.bioid.com"

+9ca2dfe8a6265c4f6ea12bae0e7ff6ffc9128226,Dialog-based Interactive Image Retrieval,"Dialog-based Interactive Image Retrieval
+Xiaoxiao Guo†
+IBM Research AI
+Hui Wu†
+IBM Research AI
+Steven Rennie
+Fusemachines Inc.
+Gerald Tesauro
+IBM Research AI"

+9cf07922cf91c4aea66c8d72606ca444f4607cc6,Distinct neural activation patterns underlie economic decisions in high and low psychopathy scorers.,"doi:10.1093/scan/nst093
+SCAN (2014) 9,1099^1107
+Distinct neural activation patterns underlie economic
+decisions in high and low psychopathy scorers
+Joana B. Vieira,1,2,3 Pedro R. Almeida,1,4 Fernando Ferreira-Santos,1 Fernando Barbosa,1 Joa˜o Marques-Teixeira,1
+nd Abigail A. Marsh3
+Laboratory of Neuropsychophysiology, Faculty of Psychology and Educational Sciences, 2Faculty of Medicine, University of Porto, 4200-135
+Porto, Portugal, 3Department of Psychology, Georgetown University, Washington, DC 20057, USA, and 4School of Criminology, Faculty of Law,
+University of Porto, 4200-135 Porto, Portugal
+Psychopathic traits affect social functioning and the ability to make adaptive decisions in social interactions. This study investigated how psychopathy
+ffects the neural mechanisms that are recruited to make decisions in the ultimatum game. Thirty-five adult participants recruited from the community
+underwent functional magnetic resonance imaging scanning while they performed the ultimatum game under high and low cognitive load. Across load
+onditions, high psychopathy scorers rejected unfair offers in the same proportion as low scorers, but perceived them as less unfair. Among low
+scorers, the perceived fairness of offers predicted acceptance rates, whereas in high scorers no association was found. Imaging results revealed
+that responses in each group were associated with distinct patterns of brain activation, indicating divergent decision mechanisms. Acceptance of
+unfair offers was associated with dorsolateral prefrontal cortex activity in low scorers and ventromedial prefrontal cortex activity in high scorers. Overall,
+our findings point to distinct motivations for rejecting unfair offers in individuals who vary in psychopathic traits, with rejections in high psychopathy
+scorers being probably induced by frustration. Implications of these results for models of ventromedial prefrontal cortex dysfunction in psychopathy
+re discussed.
+Keywords: psychopathy; functional magnetic resonance imaging; ultimatum game; ventromedial prefrontal cortex"

+022edc074693c52d4e689947bd2def8b2117fa8b,A super-resolution method for low-quality face image through RBF-PLS regression and neighbor embedding,"978-1-4673-0046-9/12/$26.00 ©2012 IEEE
+ICASSP 2012"

+022d74ae2f8680e780b18e0cbb041d5c5a57c7a5,Video Salient Object Detection via Fully Convolutional Networks,"Video Salient Object Detection via
+Fully Convolutional Networks
+Wenguan Wang, Jianbing Shen, Senior Member, IEEE, and Ling Shao, Senior Member, IEEE"

+02601d184d79742c7cd0c0ed80e846d95def052e,Graphical Representation for Heterogeneous Face Recognition,"Graphical Representation for Heterogeneous
+Face Recognition
+Chunlei Peng, Xinbo Gao, Senior Member, IEEE, Nannan Wang, Member, IEEE, and Jie Li"

+02fbf86b975c3f45b04de8288d1565cce8b53f62,A real-time pedestrian detection system based on structure and appearance classification,"Anchorage Convention District
+May 3-8, 2010, Anchorage, Alaska, USA
+978-1-4244-5040-4/10/$26.00 ©2010 IEEE"

+02e43d9ca736802d72824892c864e8cfde13718e,Transferring a semantic representation for person re-identification and search,"Transferring a Semantic Representation for Person Re-Identification and
+Search
+Shi, Z; Yang, Y; Hospedales, T; XIANG, T; IEEE Conference on Computer Vision and
+Pattern Recognition
+© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be
+obtained for all other uses, in any current or future media, including reprinting/republishing
+this material for advertising or promotional purposes, creating new collective works, for resale
+or redistribution to servers or lists, or reuse of any copyrighted component of this work in
+other works.
+For additional information about this publication click this link.
+http://qmro.qmul.ac.uk/xmlui/handle/123456789/10075
+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"

+02fda07735bdf84554c193811ba4267c24fe2e4a,Illumination Invariant Face Recognition Using Near-Infrared Images,"Illumination Invariant Face Recognition
+Using Near-Infrared Images
+Stan Z. Li, Senior Member, IEEE, RuFeng Chu, ShengCai Liao, and Lun Zhang"

+02ccd5f0eb9a48a6af088197b950fb30a8e3abcc,Scaling for Multimodal 3D Object Detection,"Scaling for Multimodal 3D Object Detection
+Andrej Karpathy
+Stanford"

+02a99a43670ab83e77de9d935eb8d3d164e1972c,Joint Segmentation and Pose Tracking of Human in Natural Videos,"Joint Segmentation and Pose Tracking of Human in Natural Videos∗
+Taegyu Lim1,2
+Seunghoon Hong2
+Bohyung Han2
+Joon Hee Han2
+DMC R&D Center, Samsung Electronics, Korea
+Department of Computer Science and Engineering, POSTECH, Korea"

+0241513eeb4320d7848364e9a7ef134a69cbfd55,Supervised translation-invariant sparse coding,"Supervised Translation-Invariant Sparse
+Coding
+¹Jianchao Yang, ²Kai Yu, and ¹Thomas Huang
+¹University of Illinois at Urbana Champaign
+²NEC Laboratories America at Cupertino"

+02dd0af998c3473d85bdd1f77254ebd71e6158c6,PPP: Joint Pointwise and Pairwise Image Label Prediction,"PPP: Joint Pointwise and Pairwise Image Label Prediction
+Yilin Wang1 Suhang Wang1
+Jiliang Tang2 Huan Liu1 Baoxin Li1
+Department of Computer Science, Arizona State Univerity
+Yahoo Research"

+026ca771bd3995748b477e100ed4283a9bf8215a,Predicting performance of a face recognition system based on image quality,"Predicting Performance of a Face
+Recognition System Based on
+Image Quality
+Abhishek Dutta"

+023da8828f9c039c20ac9267a6b37813b74d4824,Free supervision from video games,"Free supervision from video games
+Philipp Kr¨ahenb¨uhl
+UT Austin"

+02086be014c4a276663e66ffde4d14f9c4cebe7e,BiggerPicture: data-driven image extrapolation using graph matching,"This is an Open Access document downloaded from ORCA, Cardiff University's institutional
+repository: http://orca.cf.ac.uk/67868/
+This is the author’s version of a work that was submitted to / accepted for publication.
+Citation for final published version:
+Wang, Miao, Lai, Yukun, Liang, Yuan, Martin, Ralph Robert and Hu, Shi-Min 2014. Biggerpicture:
+data-driven image extrapolation using graph matching. ACM Transactions on Graphics 33 (6) , 173.
+0.1145/2661229.2661278 file
+Publishers page: http://dx.doi.org/10.1145/2661229.2661278
+<http://dx.doi.org/10.1145/2661229.2661278>
+Changes made as a result of publishing processes such as copy-editing, formatting and page
+numbers may not be reflected in this version. For the definitive version of this publication, please
+refer to the published source. You are advised to consult the publisher’s version if you wish to cite
+Please note:
+this paper.
+This version is being made available in accordance with publisher policies. See
+http://orca.cf.ac.uk/policies.html for usage policies. Copyright and moral rights for publications
+made available in ORCA are retained by the copyright holders."

+02b0bf28f34c3c403abecd2fb4fb7d4969c0e0db,Learning Disentangled Joint Continuous and Discrete Representations,"Learning Disentangled Joint Continuous and Discrete
+Representations
+Schlumberger Software Technology Innovation Center
+Emilien Dupont
+Menlo Park, CA, USA"

+0252256fa23eceb54d9eea50c9fb5c775338d9ea,Application-driven Advances in Multi-biometric Fusion,"Application-driven Advances
+in Multi-biometric Fusion
+dem Fachbereich Informatik
+der Technischen Universität Darmstadt
+vorzulegende
+DISSERTATION
+zur Erlangung des akademischen Grades eines
+Doktor-Ingenieurs (Dr.-Ing.)
+M.Sc. Naser Damer
+geboren in Amman, Jordanien
+Referenten der Arbeit:
+Prof. Dr. Arjan Kuijper
+Technische Universität Darmstadt
+Prof. Dr. Dieter W. Fellner
+Technische Universität Darmstadt
+Prof. Dr. Raghavendra Ramachandra
+Norwegian University of Science and Technology
+Tag der Einreichung:
+Tag der mündlichen Prüfung:
+2/01/2018"

+020d97ca2bf617b7ffed5a31aa8a27ffa5efadbb,An Efficient and Flexible FPGA Implementation of a Face Detection System,"Fekih, H. B., Elhossini, A., & Juurlink, B.
+An Efficient and Flexible FPGA
+Implementation of a Face Detection
+System.
+Chapter in book   |
+This version is available at https://doi.org/10.14279/depositonce-6778
+Accepted manuscript (Postprint)
+This is a post-peer-review, pre-copyedit version of an article published in Lecture Notes in Computer
+Science. The final authenticated version is available online at:
+http://dx.doi.org/10.1007/978-3-319-16214-0_20.
+Fekih, H. B., Elhossini, A., & Juurlink, B. (2015). An Efficient and Flexible FPGA Implementation of a Face
+Detection System. In Lecture Notes in Computer Science (pp. 243–254). Springer International
+Publishing. https://doi.org/10.1007/978-3-319-16214-0_20
+Terms of Use
+Copyright applies. A non-exclusive, non-transferable and
+limited right to use is granted. This document is intended
+solely for personal, non-commercial use."

+028dc6a134f1204bd9ae28213e2e6665e82ddcb0,Integral Normalized Gradient Image A Novel Illumination Insensitive Representation,"Integral Normalized Gradient Image
+A Novel Illumination Insensitive
+Representation
+Samsung Advanced Institute of Technology
+E-mail:"

+029317f260b3303c20dd58e8404a665c7c5e7339,Character Identification in Feature-Length Films Using Global Face-Name Matching,"Character Identification in Feature-Length Films
+Using Global Face-Name Matching
+Yi-Fan Zhang, Student Member, IEEE, Changsheng Xu, Senior Member, IEEE, Hanqing Lu, Senior Member, IEEE,
+nd Yeh-Min Huang, Member, IEEE"

+0273414ba7d56ab9ff894959b9d46e4b2fef7fd0,Photographic home styles in Congress: a computer vision approach,"Photographic home styles in Congress: a
+omputer vision approach∗
+L. Jason Anastasopoulos†.
+Dhruvil Badani‡
+Crystal Lee§
+Shiry Ginosar¶
+Jake Williams(cid:107)
+December 1, 2016"

+02aff7faf2f6b775844809805424417eed30f440,"A Tale of Three Probabilistic Families: Discriminative, Descriptive and Generative Models","QUARTERLY OF APPLIED MATHEMATICS
+VOLUME , NUMBER 0
+XXXX XXXX, PAGES 000–000
+A TALE OF THREE PROBABILISTIC FAMILIES: DISCRIMINATIVE,
+DESCRIPTIVE AND GENERATIVE MODELS
+YING NIAN WU (Department of Statistics, University of California, Los Angeles),
+RUIQI GAO (Department of Statistics, University of California, Los Angeles),
+TIAN HAN (Department of Statistics, University of California, Los Angeles),
+SONG-CHUN ZHU (Department of Statistics, University of California, Los Angeles)"

+02e133aacde6d0977bca01ffe971c79097097b7f,Convolutional Neural Fabrics,

+02567fd428a675ca91a0c6786f47f3e35881bcbd,Deep Label Distribution Learning With Label Ambiguity,"ACCEPTED BY IEEE TIP
+Deep Label Distribution Learning
+With Label Ambiguity
+Bin-Bin Gao, Chao Xing, Chen-Wei Xie, Jianxin Wu, Member, IEEE, and Xin Geng, Member, IEEE"

+0296fc4d042ca8657a7d9dd02df7eb7c0a0017ad,Subspace Learning from Image Gradient Orientations,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.
+Subspace Learning from Image Gradient
+Orientations
+Georgios Tzimiropoulos, Member, IEEE, Stefanos Zafeiriou Member, IEEE, and Maja Pantic Fellow, IEEE"

+02bee2cef6b04e6b57cfa3fd54cabc756f0c2e8d,Data-driven methods for interactive visual content creation and manipulation,"Data-driven Methods for
+Interactive Visual Content Creation
+nd Manipulation
+Dissertation zur Erlangung des Grades des
+Doktors der Ingenieurwissenschaften der
+Naturwissenschaftlich-Technischen Fakultäten der
+Universität des Saarlandes
+Vorgelegt durch
+Arjun Jain
+Max-Planck-Institut Informatik
+Campus E1 4
+66123 Saarbrücken
+Germany
+m 4. February 2013 in Saarbrücken"

+02e9f1bb203a5ade98308eaff4f6a5c96a2c11e0,Self-Supervised Relative Depth Learning for Urban Scene Understanding,"Self-Supervised Relative Depth Learning for
+Urban Scene Understanding
+Huaizu Jiang1,
+Erik Learned-Miller1
+Gustav Larsson2, Michael Maire3, Greg Shakhnarovich3
+UMass Amherst
+University of Chicago
+TTI-Chicago"

+02af5e40653b5a545b62aa6aebfaca6557f4173d,Sensor fusion for human safety in industrial workcells,"Sensor Fusion for Human Safety in Industrial Workcells*
+Paul Rybski1, Peter Anderson-Sprecher1, Daniel Huber1, Chris Niessl1, Reid Simmons1
+Figure 1: An example of our approach. (a) The workcell as seen
+y one of the 3D sensors. The red region indicates the adaptive
+danger zone surrounding the moving robot arm. (b) As the person
+enters the workcell, the green region indicates the adaptive safety
+zone surrounding the person. (c) When the person gets too close
+to the robot, the safety zone and danger zones intersect (shown
+with a red circle), and the robot automatically halts. LIGHTEN THE
+CONTRAST ON THESE FIGURES TO MAKE THEM EASIER TO SEE"

+029fa43a49a2f5df4bee8aa6a9574f8da5098f98,"Learning event representation: As sparse as possible, but not sparser","Learning event representation: As sparse as possible, but not sparser
+Tuan Do and James Pustejovsky
+Department of Computer Science
+Brandeis University
+Waltham, MA 02453 USA"

+027beed800f7d5e20194caf6d689345045e8d0d4,Smoothed Dilated Convolutions for Improved Dense Prediction,"Smoothed Dilated Convolutions for Improved Dense Prediction
+Zhengyang Wang
+Washington State University
+Pullman, Washington, USA
+Shuiwang Ji
+Washington State University
+Pullman, Washington, USA"

+02a2c5b332d883d726929474060a7e62411c010a,Totally Corrective Multiclass Boosting with Binary Weak Learners,"SEPTEMBER 2010
+with Binary Weak Learners
+Zhihui Hao, Chunhua Shen, Nick Barnes, and Bo Wang"

+02f038ed453de0551813159284746126168f5e15,Multi Channel-Kernel Canonical Correlation Analysis for Cross-View Person Re-Identification,"This is a pre-print version, the final version of the manuscript with more experiments can be found at:
+https://doi.org/10.1145/3038916
+Multi Channel-Kernel Canonical Correlation
+Analysis for Cross-View Person Re-Identification
+Giuseppe Lisanti, Svebor Karaman, Iacopo Masi"

+02e4025fd63f168810724156fb6b20b0b14dccdc,Local inter-session variability modelling for object classification,"This is the author’s version of a work that was submitted/accepted for pub-
+lication in the following source:
+Anantharajah, Kaneswaran, Ge, ZongYuan, McCool, Christopher, Den-
+man, Simon, Fookes, Clinton B., Corke, Peter, Tjondronegoro, Dian W., &
+Sridharan, Sridha
+(2014)
+Local inter-session variability modelling for object classification. In
+014), 24-26 March 2014, Steamboat Springs, CO.
+This file was downloaded from: https://eprints.qut.edu.au/67786/
+(cid:13) Copyright 2014 [please consult the author]
+Notice: Changes introduced as a result of publishing processes such as
+opy-editing and formatting may not be reflected in this document. For a
+definitive version of this work, please refer to the published source:"

+02b72a5a4389cb32a7dd784b1c9084e8412e2e78,Hierarchical Bayesian Image Models,"We are IntechOpen,
+the world’s leading publisher of
+Open Access books
+Built by scientists, for scientists
+,700
+08,500
+.7 M
+Open access books available
+International  authors and editors
+Downloads
+Our authors are among the
+Countries delivered to
+TOP 1%
+2.2%
+most cited scientists
+Contributors from top 500 universities
+Selection of our books indexed in the Book Citation Index
+in Web of Science™ Core Collection (BKCI)
+Interested in publishing with us?
+Contact"

+02e97e65fd0ec9a6d98a255d0396eb796a5e444a,Online Multiple View Tracking: Targets Association Across Cameras,"Q.LE, D.CONTE, M.HIDANE: COLLABORATIVE TRACKING
+Online Multiple View Tracking:
+Targets Association Across Cameras
+Quoc Cuong LE1
+Donatello CONTE1
+Moncef HIDANE2
+LIFAT
+University of Tours,
+Tours, France
+Computer Science Department
+INSA Centre Val de Loire,
+Blois, France"

+0278acdc8632f463232e961563e177aa8c6d6833,Selective Transfer Machine for Personalized Facial Expression Analysis,"Selective Transfer Machine for Personalized
+Facial Expression Analysis
+Wen-Sheng Chu, Fernando De la Torre, and Jeffrey F. Cohn
+INTRODUCTION
+Index Terms—Facial expression analysis, personalization, domain adaptation, transfer learning, support vector machine (SVM)
+A UTOMATIC facial AU detection confronts a number of"

+0291b43490e02303c9414f03980e606950ec7261,Pose-conditioned joint angle limits for 3D human pose reconstruction,"Pose-Conditioned Joint Angle Limits for 3D Human Pose Reconstruction
+Ijaz Akhter, Michael J. Black
+Max Planck Institute for Intelligent Systems, Tübingen, Germany
+Figure 1: Joint-limit dataset. We captured a new dataset for learning pose-
+dependent joint angle limits. This includes an extensive variety of stretching
+poses. A few sample images are shown here. We use this dataset to learn
+pose-conditioned joint-angle limits. The dataset and the learned joint-angle
+model will be made publicly available.
+Figure 2: We use our joint-angle-limit prior for 3D pose estimation given
+D joint locations in an image. The proposed prior helps in reducing the
+space of possible solutions to only valid 3D human poses. Our prior can
+e also used for many other problems where estimating 3D human pose is
+mbiguous.
+Accurate modeling of priors over 3D human pose is fundamental to many
+problems in computer vision. Most previous priors are either not general
+enough for the diverse nature of human poses or not restrictive enough to
+void invalid 3D poses. We propose a physically-motivated prior that only
+llows anthropometrically valid poses and restricts the ones that are invalid.
+One can use joint-angle limits to evaluate whether two connected bones
+re valid or not. However, it is established in biomechanics that there are"

+02bee6bf61566cfc3963fe42b320a740a9458920,Efficient Pedestrian Detection via Rectangular Features Based on a Statistical Shape Model,"This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.
+Efficient Pedestrian Detection via Rectangular
+Features Based on a Statistical Shape Model
+Shanshan Zhang, Student Member, IEEE, Christian Bauckhage, Member, IEEE, and Armin B. Cremers"

+02a88a2f2765b17c9ea76fe13148b4b8a9050b95,DeepPose: Human Pose Estimation via Deep Neural Networks,"DeepPose: Human Pose Estimation via Deep Neural Networks
+Alexander Toshev
+Christian Szegedy
+Google
+600 Amphitheatre Pkwy
+Mountain View, CA 94043
+mainly by the first challenge, the need to search in the large
+space of all possible articulated poses. Part-based models
+lend themselves naturally to model articulations ([16, 8])
+nd in the recent years a variety of models with efficient
+inference have been proposed ([6, 19]).
+The above efficiency, however, is achieved at the cost of
+limited expressiveness – the use of local detectors, which
+reason in many cases about a single part, and most impor-
+tantly by modeling only a small subset of all interactions
+etween body parts. These limitations, as exemplified in
+Fig. 1, have been recognized and methods reasoning about
+pose in a holistic manner have been proposed [15, 21] but
+with limited success in real-world problems.
+In this work we ascribe to this holistic view of human"

+02d6df5060281cf13fbef68a8f1ddc29983fe8b3,An Enhanced Default Approach Bias Following Amygdala Lesions in Humans.,"583804 PSSXXX10.1177/0956797615583804Harrison et al.Default Approach Bias Following Amygdala Lesions
+research-article2015
+Research Article
+An Enhanced Default Approach Bias
+Following Amygdala Lesions in Humans
+1 –13
+© The Author(s) 2015
+Reprints and permissions:
+sagepub.com/journalsPermissions.nav
+DOI: 10.1177/0956797615583804
+pss.sagepub.com
+Laura A. Harrison1, Rene Hurlemann2, and Ralph Adolphs1
+California Institute of Technology and 2University of Bonn"

+02cce8b08e4839d16f2142c5723fc009ccb4e3e1,Improving spatial codification in semantic segmentation,"IMPROVING SPATIAL CODIFICATION IN SEMANTIC SEGMENTATION
+Carles Ventura(cid:63)
+Kevin McGuinness†
+Xavier Gir´o-i-Nieto(cid:63)
+Ferran Marqu´es(cid:63)
+Ver´onica Vilaplana(cid:63)
+Noel E. O’Connor†
+(cid:63) Universitat Polit`ecnica de Catalunya (UPC), Barcelona, Spain
+Insight Centre for Data Analytics, Dublin City University (DCU), Ireland"

+026050f71175d235f3f91ca0e99e994c00f9b5a6,Supervised Discrete Hashing,"Supervised Discrete Hashing
+Fumin Shen1, Chunhua Shen2, Wei Liu3, Heng Tao Shen4
+University of Electronic Science and Technology of China. 2 University of Adelaide; and Australian Centre for Robotic Vision. 3IBM Research.
+The University of Queensland.
+Recently, learning based hashing techniques have attracted broad research
+interests due to the resulting efficient storage and retrieval of images, videos,
+documents, etc. However, a major difficulty of learning to hash lies in han-
+dling the discrete constraints imposed on the needed hash codes. In general,
+the discrete constraints imposed on the binary codes that the target hash
+functions generate lead to mixed-integer optimization problems—which is
+generally NP hard. To simplify the optimization involved in a binary code
+learning procedure, most of the aforementioned methods choose to first
+solve a relaxed problem through directly discarding the discrete constraints,
+nd then threshold the continuous outputs to be binary. This greatly simpli-
+fies the optimization but, unfortunately, the approximated solution is typi-
+ally of low quality and often makes the final hash functions less effective,
+possibly due to the accumulated quantization errors. This is especially the
+ase when long-length codes are needed.
+Directly learning the binary codes without relaxations would be pre-
+ferred if (and only if) a tractable and scalable solver is available. The impor-"

+026509ad687f9cdaba8f2dac0fe5720e0553a8bd,Integrated pedestrian classification and orientation estimation,"Integrated Pedestrian Classification
+nd Orientation Estimation
+Markus Enzweiler1
+Dariu M. Gavrila2,3
+Image & Pattern Analysis Group, Univ. of Heidelberg, Germany
+Environment Perception, Group Research, Daimler AG, Ulm, Germany
+Intelligent Autonomous Systems Group, Univ. of Amsterdam, The Netherlands"

+02f1d5c896ced7f6f002eb7514ba49eca940b75c,A Comparison of Efficient Global Image Features for Localizing Small Mobile Robots,"A Comparison of Efficient Global Image Features
+for Localizing Small Mobile Robots
+Marius Hofmeister, Philipp Vorst and Andreas Zell
+Computer Science Department, University of Tübingen, Tübingen, Germany"

+a49b661e42aea6f205e543a80106fc9c6ff0f9d4,Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry,"Deep Virtual Stereo Odometry:
+Leveraging Deep Depth Prediction for
+Monocular Direct Sparse Odometry
+Nan Yang1,2, Rui Wang1,2, J¨org St¨uckler1, and Daniel Cremers1,2
+Technical University of Munich
+Artisense"

+a45450824c6e8e6b42fd9bbf52871104b6c6ce8b,Optimizing the Latent Space of Generative Networks,"Optimizing the Latent Space of Generative Networks
+Piotr Bojanowski, Armand Joulin, David Lopez-Paz, Arthur Szlam
+{bojanowski, ajoulin, dlp,
+Facebook AI Research"

+a46f285b928aa547df8d8d8d63d2f9256a73aae7,Networked Decision Making for Poisson Processes With Applications to Nuclear Detection,"[16] E. D. Sontag, “Input-to-state stability: Basic concepts and results,” in
+Nonlinear and Optimal Control Theory, P. Nistri and G. Stefani, Eds.
+Berlin, Germany: Springer–Verlag, 2006, pp. 163–220.
+[17] Z.-P. Jiang, A. R. Teel, and L. Praly, “Small-gain theorem for ISS sys-
+tems and applications,” Mathem. of Control, Signals, and Syst., vol. 7,
+pp. 95–120, 1994.
+[18] A. R. Teel, “A nonlinear small gain theorem for the analysis of control
+systems with saturation,” IEEE Trans. Autom. Control, vol. AC-41, no.
+9, pp. 1256–1270, Sep. 1996.
+[19] Z.-P. Jiang and I. M. Y. Mareels, “A small-gain control method for
+nonlinear cascaded systems with dynamic uncertainties,” IEEE Trans.
+Autom. Control, vol. 42, no. 3, pp. 292–308, Mar. 1997.
+[20] S. Dashkovskiy, Z.-P. Jiang, and B. Rüffer, “Special issue on robust sta-
+ility and control of large-scale nonlinear systems,” Mathem. of Con-
+trol, Signals, and Syst., vol. 24, no. 1, pp. 1–2, 2012.
+[21] H. K. Khalil, Nonlinear Systems, third ed. Upper Saddle River, NJ:
+Prentice–Hall, 2002.
+[22] R. A. Horn and C. R. Johnson, Matrix Analysis. Cambridge, U.K.:
+Cambridge University Press, 1985.
+[23] W. Ren and R. W. Beard, “Consensus seeking in multiagent systems"

+a49acd70550c209965a6d39d7ff92d11f0a5b1b6,"YouTube Scale, Large Vocabulary Video Annotation","YouTube Scale, Large Vocabulary
+Video Annotation
+Nicholas Morsillo, Gideon Mann and Christopher Pal"

+a427ee25ef515ddd9cf50b4cc3a7376f57d58926,Human-Drone-Interaction: A Case Study to Investigate the Relation Between Autonomy and User Experience,"Human-Drone-Interaction: A Case Study to
+Investigate the Relation between Autonomy and
+User Experience
+Patrick Ferdinand Christ1,3(cid:63), Florian Lachner2,3(cid:63), Axel H¨osl3, Bjoern Menze1,
+Klaus Diepold3, and Andreas Butz2
+Image-based Biomedical Modeling Group,
+Technical University of Munich (TUM)
+{patrick.christ,
+Chair for Human-Computer-Interaction,
+University of Munich (LMU)
+{florian.lachner, axel.hoesl,
+Center for Digital and Technology Management,
+TUM and LMU
+Chair for Data Processing,
+Technical University of Munich (TUM)"

+a4a90a2db209db2d5c49adfd2091ede2d4130f60,Interactive Grounded Language Acquisition and Generalization in a 2D World,"Published as a conference paper at ICLR 2018
+INTERACTIVE GROUNDED LANGUAGE ACQUISITION
+AND GENERALIZATION IN A 2D WORLD
+Haonan Yu1, Haichao Zhang1 & Wei Xu1,2
+Baidu Research, Sunnyvale USA
+National Engineering Laboratory for Deep Learning Technology and Applications, Beijing China"

+a4a5ad6f1cc489427ac1021da7d7b70fa9a770f2,Gated spatio and temporal convolutional neural network for activity recognition: towards gated multimodal deep learning,"Yudistira and Kurita EURASIP Journal on Image and Video
+Processing  (2017) 2017:85
+DOI 10.1186/s13640-017-0235-9
+EURASIP Journal on Image
+nd Video Processing
+RESEARCH
+Open Access
+Gated spatio and temporal convolutional
+neural network for activity recognition:
+towards gated multimodal deep learning
+Novanto Yudistira1* and Takio Kurita2"

+a4f38e32c23fd1f5a1e1157a4e62b38731f2e5d8,Online Learning for Ship Detection in Maritime Surveillance,"Online Learning for Ship Detection
+in Maritime Surveillance
+Rob Wijnhoven1
+ViNotion1
+, Kris van Rens1, Egbert G. T. Jaspers1, Peter H. N. de With2
+University of Technol. Eindhoven2 CycloMedia Technol.3
+P.O. Box 2346
+5600 CH Eindhoven
+The Netherlands
+P.O. Box 513
+5600 MB Eindhoven
+The Netherlands"

+a416513aaf97060287bf3e64ccdc1ccf85106c07,Seasonal Separation of African Savanna Components Using Worldview-2 Imagery: A Comparison of Pixel- and Object-Based Approaches and Selected Classification Algorithms,"Article
+Seasonal Separation of African Savanna Components
+Using Worldview-2 Imagery: A Comparison of Pixel-
+nd Object-Based Approaches and Selected
+Classification Algorithms
+˙Zaneta Kaszta 1,2,*, Ruben Van De Kerchove 1,3, Abel Ramoelo 4, Moses Azong Cho 4,
+Sabelo Madonsela 4, Renaud Mathieu 4,5 and Eléonore Wolff 1
+Institut de Gestion de l’Environnement et d’Aménagement de Territoire (IGEAT),
+Université Libre de Bruxelles, Brussels 1050, Belgium;
+School of Applied Environmental Sciences, Pietermaritzburg 3209, South Africa
+Mol 2400, Belgium;
+Council for Scientific and Industrial Research, Pretoria 0001, South Africa; (A.R.);
+(M.A.C.); (S.M.); (R.M.)
+5 Department of Geography, Geoinformatics and Meteorology, University of Pretoria,
+Pretoria 0028, South Africa
+* Correspondence: Tel.: +32-02-650-68-20
+Academic Editors: Giles M. Foody, Magaly Koch, Clement Atzberger and Prasad S. Thenkabail
+Received: 15 May 2016; Accepted: 8 September 2016; Published: 16 September 2016"

+a4bab165158b9627280fb3052b1c731210f2a901,"Pedestrian Localization, Tracking and Behavior Analysis from Multiple Cameras","Pedestrian Localization, Tracking and Behavior Analysis
+from Multiple Cameras
+THÈSE NO 4629 (2010)
+PRÉSENTÉE LE 9 AVRIL 2010
+À LA FACULTÉ INFORMATIQUE ET COMMUNICATIONS
+LABORATOIRE DE VISION PAR ORDINATEUR
+PROGRAMME DOCTORAL EN INFORMATIQUE, COMMUNICATIONS ET INFORMATION
+ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE
+POUR L'OBTENTION DU GRADE DE DOCTEUR ÈS SCIENCES
+Jérôme BERCLAZ
+cceptée sur proposition du jury:
+Prof. P. Thiran, président du jury
+Prof. P. Fua, Dr F. Fleuret, directeurs de thèse
+Prof. M. Bierlaire, rapporteur
+Prof. H. Bischof, rapporteur
+Dr J. Ferryman, rapporteur
+Suisse"

+a40f8881a36bc01f3ae356b3e57eac84e989eef0,"End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks","End-to-end semantic face segmentation with conditional
+random fields as convolutional, recurrent and adversarial
+networks
+Umut Güçlü*, 1, Yağmur Güçlütürk*, 1,
+Meysam Madadi2, Sergio Escalera3, Xavier Baró4, Jordi González2,
+Rob van Lier1, Marcel van Gerven1"

+a4a0b5f08198f6d7ea2d1e81bd97fea21afe3fc3,Efficient Recurrent Residual Networks Improved by Feature Transfer,"E
+Feature Transfer
+MSc Thesis
+written by
+Yue Liu
+under the supervision of Dr. Silvia-Laura Pintea, Dr. Jan van Gemert,
+nd Dr. Ildiko Suveg and submitted to the Board of Examiners for the
+degree of
+Master of Science
+t the Delft University of Technology.
+Date of the public defense: Members of the Thesis Committee:
+August 31, 2017
+Prof. Marcel Reinders
+Dr. Jan van Gemert
+Dr. Julian Urbano Merino
+Dr. Silvia-Laura Pintea
+Dr. Ildiko Suveg (Bosch)
+Dr. Gonzalez Adrlana (Bosch)"

+a4ee9f089ab9a48a6517a6967281247339a51747,Resembled Generative Adversarial Networks: Two Domains with Similar Attributes,"DUHYEON BANG, HYUNJUNG SHIM: RESEMBLED GAN
+Resembled Generative Adversarial Networks:
+Two Domains with Similar Attributes
+School of Integrated Technology, Yonsei
+University, South Korea
+Duhyeon Bang
+Hyunjung Shim"

+a47e51dd3f73817679ff0e987a0064d43db25060,Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization,"Visual Explanations from Deep Networks via Gradient-based Localization
+Grad-CAM: Why did you say that?
+Ramprasaath R. Selvaraju
+Abhishek Das
+Devi Parikh
+Ramakrishna Vedantam
+Dhruv Batra
+Virginia Tech
+Michael Cogswell
+{ram21, abhshkdz, vrama91, cogswell, parikh,
+(a) Original Image
+(b) Guided Backprop ‘Cat’
+(c) Grad-CAM for ‘Cat’
+(d) Guided Grad-CAM ‘Cat’
+(e) Occlusion Map ‘Cat’
+(f) ResNet Grad-CAM ‘Cat’
+(g) Original Image
+(h) Guided Backprop ‘Dog’
+(i) Grad-CAM for ‘Dog’
+(l) ResNet Grad-CAM ‘Dog’"

+a44b91f46ba66c8279b93caab6842444de0c9343,Frequency-domain Tracking Spatial-domain Detection Generic Object Proposal Histogram based Representation Detection Result Tracking State Estimation Spatial Regressor Correlation Model IFFT Search Space Feature Extraction Correlation Map Correlation Model FFT,"Monocular Long-term Target Following on UAVs
+Rui Li ∗
+Minjian Pang†
+Cong Zhao ‡
+Guyue Zhou ‡
+Lu Fang †§"

+a493a731dadababb6f2ae0b4b6233d861206345b,Studio2Shop: from studio photo shoots to fashion articles,"Studio2Shop: from studio photo shoots to fashion articles
+Julia Lasserre1, Katharina Rasch1 and Roland Vollgraf
+Zalando Research, Muehlenstr. 25, 10243 Berlin, Germany
+Keywords:
+omputer vision, deep learning, fashion, item recognition, street-to-shop"

+a44590528b18059b00d24ece4670668e86378a79,Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization,"Learning the Hierarchical Parts of Objects by Deep
+Non-Smooth Nonnegative Matrix Factorization
+Jinshi Yu, Guoxu Zhou, Andrzej Cichocki
+IEEE Fellow, and Shengli Xie IEEE Senior Member"

+a453863082a7fb42c9b402023294390eb4167fbe,Identifying Where to Focus in Reading Comprehension for Neural Question Generation,"Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 2067–2073
+Copenhagen, Denmark, September 7–11, 2017. c(cid:13)2017 Association for Computational Linguistics"

+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"

+a47ac8569ab1970740cff9f1643f77e9143a62d4,Associative Compression Networks for Representation Learning,"Associative Compression Networks for Representation Learning
+Alex Graves 1 Jacob Menick 1 A¨aron van den Oord 1"

+a4c430b7d849a8f23713dc283794d8c1782198b2,Video Concept Embedding,"Video Concept Embedding
+Anirudh Vemula
+Rahul Nallamothu
+Syed Zahir Bokhari
+. Introduction
+In the area of natural language processing, there has been
+much success in learning distributed representations for
+words as vectors. Doing so has an advantage over using
+simple labels, or a one-hot coding scheme for representing
+individual words. In learning distributed vector representa-
+tions for words, we manage to capture semantic relatedness
+of words in vector distance. For example, the word vector
+for ”car” and ”road” should end up being closer together in
+the vector space representation than ”car” and ”penguin”.
+This has been very useful in NLP areas of machine transla-
+tion and semantic understanding.
+In the computer vision domain, video understanding is a
+very important topic.
+It is made hard due to the large
+mount of high dimensional data in videos. One strategy"

+a48c71153265d6da7fbc4b16327320a5cbfa6cba,Unite the People: Closing the loop between 3D and 2D Human Representations Supplementary Material,"Unite the People: Closing the loop between 3D and 2D Human Representations
+Supplementary Material
+Christoph Lassner1,2
+Javier Romero2
+Martin Kiefel2
+Federica Bogo2,3
+Michael J. Black2
+Peter V. Gehler1,2
+Bernstein Center for Comp. Neuroscience1
+Max-Planck Institute for Intelligent Systems2
+Microsoft3
+Otfried-M¨uller-Str. 25, T¨ubingen
+Spemannstr. 41, T¨ubingen
+1 Station Rd., Cambridge
+. Introduction
+We have obtained human segmentation labels to inte-
+grate shape information into the SMPLify 3D fitting pro-
+edure and for the evaluation of methods introduced in the
+main paper. The labels consist of foreground segmentation
+for multiple human pose datasets and six body part segmen-"

+a4f37cfdde3af723336205b361aefc9eca688f5c,Recent Advances in Face Recognition,"Recent Advances
+in Face Recognition"

+a32ebfa79097fdf5c9d44d2f74e33b7c8343425c,A Deeper Look at Dataset Bias,"Chapter 2
+A Deeper Look at Dataset Bias
+Tatiana Tommasi, Novi Patricia, Barbara Caputo and Tinne Tuytelaars"

+a30869c5d4052ed1da8675128651e17f97b87918,Fine-Grained Comparisons with Attributes,"Fine-Grained Comparisons with Attributes
+Aron Yu and Kristen Grauman"

+a32f28156b47fd262e04426806037d138bb3ed0b,Fisher’s linear discriminant (FLD) and support vector machine (SVM) in non-negative matrix factorization (NMF) residual space for face recognition,"Optica Applicata, Vol. XL, No. 3, 2010
+Fisher’s linear discriminant (FLD)
+nd support vector machine (SVM)
+in non-negative matrix factorization (NMF)
+residual space for face recognition
+CHANGJUN ZHOU, XIAOPENG WEI*, QIANG ZHANG, XIAOYONG FANG
+Key Laboratory of Advanced Design and Intelligent Computing, Dalian University,
+Ministry of Education, Dalian, 116622, China
+*Corresponding author:
+A novel method of Fisher’s linear discriminant (FLD) in the residual space is put forward for
+the  representation  of  face  images  for  face  recognition,  which  is  robust  to  the  slight  local
+feature changes. The residual images are computed by subtracting the reconstructed images from
+the original face images, and the reconstructed images are obtained by performing non-negative
+matrix factorization (NMF) on original images. FLD is applied to the residual images for extracting
+FLD subspace and the corresponding coefficient matrices. Furthermore, features are obtained by
+mapping the residual image to FLD subspace. Finally, the features are utilized to train and test
+support vector machines (SVMs) for face recognition. The computer simulation illustrates that
+this method is effective on the ORL database and the extended Yale face database B.
+Keywords: face recognition, Fisher linear discriminant (FLD), non-negative matrix factorization (NMF),
+residual image."

+a3ebacd8bcbc7ddbd5753935496e22a0f74dcf7b,"First International Workshop on Adaptive Shot Learning for Gesture Understanding and Production ASL4GUP 2017 Held in conjunction with IEEE FG 2017, in May 30, 2017, Washington DC, USA","First International Workshop on Adaptive Shot Learning
+for Gesture Understanding and Production
+ASL4GUP 2017
+Held in conjunction with IEEE FG 2017, in May 30, 2017,
+Washington DC, USA"

+a3d8b5622c4b9af1f753aade57e4774730787a00,Pose-Aware Person Recognition,"Pose-Aware Person Recognition
+Vijay Kumar (cid:63)
+Anoop Namboodiri (cid:63)
+(cid:63) CVIT, IIIT Hyderabad, India
+Manohar Paluri †
+Facebook AI Research
+C. V. Jawahar (cid:63)"

+a3fdba7975494c34552b33cf839f21d62734e6f0,Excavate Condition-invariant Space by Intrinsic Encoder,"Excavate Condition-invariant Space by Intrinsic Encoder
+Jian Xu, Chunheng Wang, Cunzhao Shi, and Baihua Xiao
+Institute of Automation, Chinese Academy of Sciences (CASIA)"

+a3017bb14a507abcf8446b56243cfddd6cdb542b,Face Localization and Recognition in Varied Expressions and Illumination,"Face Localization and Recognition in Varied
+Expressions and Illumination
+Hui-Yu Huang, Shih-Hang Hsu"

+a3c8c7da177cd08978b2ad613c1d5cb89e0de741,A Spatio-temporal Approach for Multiple Object Detection in Videos Using Graphs and Probability Maps,"A Spatio-temporal Approach for Multiple
+Object Detection in Videos Using Graphs
+nd Probability Maps
+Henrique Morimitsu1(B), Roberto M. Cesar Jr.1, and Isabelle Bloch2
+University of S˜ao Paulo, S˜ao Paulo, Brazil
+Institut Mines T´el´ecom, T´el´ecom ParisTech, CNRS LTCI, Paris, France"

+a3ccf7fa5c130c8bcd20cbcd356ad7a47cdd4296,SymNMF: nonnegative low-rank approximation of a similarity matrix for graph clustering,"Journal of Global Optimization manuscript No.
+(will be inserted by the editor)
+SymNMF: Nonnegative Low-Rank Approximation of
+Similarity Matrix for Graph Clustering
+Da Kuang · Sangwoon Yun · Haesun Park
+The final publication is available at Springer via http://dx.doi.org/10.1007/s10898-014-0247-2."

+a378fc39128107815a9a68b0b07cffaa1ed32d1f,Determining a Suitable Metric when Using Non-Negative Matrix Factorization,"Determining a Suitable Metric When using Non-negative Matrix Factorization∗
+David Guillamet and Jordi Vitri`a
+Computer Vision Center, Dept. Inform`atica
+Universitat Aut`onoma de Barcelona
+08193 Bellaterra, Barcelona, Spain"

+a32dadf343f811e6837b8ac5bab873674fa626b3,Moving Object Detection and Tracking in Forward Looking Infra-Red Aerial Imagery,"Moving Object Detection and Tracking
+in Forward Looking Infra-Red Aerial Imagery
+Subhabrata Bhattacharya, Haroon Idrees, Imran Saleemi, Saad Ali
+nd Mubarak Shah"

+a34d75da87525d1192bda240b7675349ee85c123,Naive-Deep Face Recognition: Touching the Limit of LFW Benchmark or Not?,"Naive-Deep Face Recognition: Touching the Limit of LFW Benchmark or Not?
+Erjin Zhou
+Face++, Megvii Inc.
+Zhimin Cao
+Face++, Megvii Inc.
+Qi Yin
+Face++, Megvii Inc."

+a3dc109b1dff3846f5a2cc1fe2448230a76ad83f,Active Appearance Model and Pca Based Face Recognition System,"J.Savitha et al, International Journal of Computer Science and Mobile Computing, Vol.4 Issue.4, April- 2015, pg. 722-731
+Available Online at www.ijcsmc.com
+International Journal of Computer Science and Mobile Computing
+A Monthly Journal of Computer Science and Information Technology
+ISSN 2320–088X
+IJCSMC, Vol. 4, Issue. 4, April 2015, pg.722 – 731
+RESEARCH ARTICLE
+ACTIVE APPEARANCE MODEL AND PCA
+BASED FACE RECOGNITION SYSTEM
+Mrs. J.Savitha M.Sc., M.Phil.
+Ph.D Research Scholar, Karpagam University, Coimbatore, Tamil Nadu, India
+Email:
+Dr. A.V.Senthil Kumar
+Director, Hindustan College of Arts and Science, Coimbatore, Tamil Nadu, India
+Email:"

+a3f69a073dcfb6da8038607a9f14eb28b5dab2db,3D-Aided Deep Pose-Invariant Face Recognition,Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18)

+a38045ed82d6800cbc7a4feb498e694740568258,African American and Caucasian males ' evaluation of racialized female facial averages,"UNLV Theses, Dissertations, Professional Papers, and Capstones
+5-2010
+African American and Caucasian males' evaluation
+of racialized female facial averages
+Rhea M. Watson
+University of Nevada Las Vegas
+Follow this and additional works at: http://digitalscholarship.unlv.edu/thesesdissertations
+Part of the Cognition and Perception Commons, Race and Ethnicity Commons, and the Social
+Psychology Commons
+Repository Citation
+Watson, Rhea M., ""African American and Caucasian males' evaluation of racialized female facial averages"" (2010). UNLV Theses,
+Dissertations, Professional Papers, and Capstones. 366.
+http://digitalscholarship.unlv.edu/thesesdissertations/366
+This Thesis is brought to you for free and open access by Digital It has been accepted for inclusion in UNLV Theses, Dissertations,
+Professional Papers, and Capstones by an authorized administrator of Digital For more information, please contact"

+a357bc79b1ac6f2474ff6b9f001419745a8bc21c,Toward More Realistic Face Recognition Evaluation Protocols for the YouTube Faces Database,"Toward More Realistic Face Recognition Evaluation Protocols
+for the YouTube Faces Database
+Yoanna Mart´ınez-D´ıaz, Heydi M´endez-V´azquez, Leyanis L´opez-Avila
+Advanced Technologies Application Center (CENATAV)
+7A ♯21406 Siboney, Playa, P.C. 12200, Havana, Cuba
+Leonardo Chang
+L. Enrique Sucar
+Massimo Tistarelli
+Tecnol´ogico de Monterrey,
+Estado de Mexico, Mexico
+INAOE,
+University of Sassari,
+Puebla, Mexico
+Sassari, Italy"

+a3f78cc944ac189632f25925ba807a0e0678c4d5,Action Recognition in Realistic Sports Videos,"Action Recognition in Realistic Sports Videos
+Khurram Soomro and Amir Roshan Zamir"

+a3177f82ea8391d9d733be47e4a0656a7b56e64c,The Roles of Emotions in the Law,"Emotion Researcher | ISRE's Sourcebook for Research on Emotion and Affect
+Emotion Researcher
+ISRE's Sourcebook for Research on Emotion and Affect
+Interviews
+Articles
+Spotlight
+Contact
+How To Cite ER
+Table of Contents
+New Editor Search
+THE ROLES OF EMOTIONS IN THE LAW
+Time  for  new  blood  at  the  helm  of Emotion
+Researcher! ISRE is seeking one or more new
+editors,  who  should  take  over  in April 2017. It
+is a fun and highly rewarding job. Nominations
+of suitable candidates are also encouraged.
+Editor’s Column
+In this issue of Emotion Researcher, we focus on the roles emotions play in the law. We will explore
+the emotions of jurors, judges, defendants, attorneys and other legal actors.
+Call for Papers"

+a3fd234763844663f72a8fa22a076eeadce7245c,DelugeNets: Deep Networks with Efficient and Flexible Cross-Layer Information Inflows,"DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information
+Inflows
+Jason Kuen1
+Xiangfei Kong1
+Gang Wang2
+Yap-Peng Tan1
+Nanyang Technological University1 Alibaba Group2"

+a30e987e9909a4e307c35809275cf80431211f22,Automatic Sapstain Detection in Processed Timber Through Image Feature Analysis,"Automatic Sapstain Detection in Processed
+Timber Through Image Feature Analysis
+Jeremiah Deng
+The Information Science
+Discussion Paper Series
+Number 2009/04
+April 2009
+ISSN 1177-455X"

+a3fe284b029269ad5f071dd37bb137593c67dfc2,Feature Learning for the Image Retrieval Task,"Feature Learning for the Image Retrieval Task
+Aakanksha Rana, Joaquin Zepeda, Patrick Perez
+Technicolor R&I, 975 avenue des Champs Blancs, CS 17616, 35576 Cesson Sevigne, France"

+a3a6e3cadfed3c0a520e4417fc27da561324fbc6,Facing the challenge of teaching emotions to individuals with low- and high-functioning autism using a new Serious game: a pilot study,"Serret et al. Molecular Autism 2014, 5:37
+http://www.molecularautism.com/content/5/1/37
+R ES EAR CH
+Facing the challenge of teaching emotions to
+individuals with low- and high-functioning autism
+using a new Serious game: a pilot study
+Sylvie Serret1*, Stephanie Hun1, Galina Iakimova2, Jose Lozada3, Margarita Anastassova3, Andreia Santos1,
+Stephanie Vesperini1 and Florence Askenazy4
+Open Access"

+a32f693e98ae35da5508c8eee245a876b6e130a1,Small Sample Scene Categorization from Perceptual Relations Ilan Kadar and,"Small Sample Scene Categorization from Perceptual Relations
+Ilan Kadar and Ohad Ben-Shahar
+Dept. of Computer Science, Ben-Gurion University
+Beer-Sheva, Israel"

+a3fcf3d32a5a4fcc83027e3d367ecc0df3ec4f64,Iris Recognition: On the Segmentation of Degraded Images Acquired in the Visible Wavelength,"Iris Recognition: On the Segmentation
+of Degraded Images Acquired
+in the Visible Wavelength
+Hugo Proenc¸ a"

+a3ed080262f130051d2a02e846f5d227a440b294,ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time,"ContextNet: Exploring Context and Detail
+for Semantic Segmentation in Real-time
+Rudra P K Poudel, Ujwal Bonde, Stephan Liwicki, and Christopher Zach
+Toshiba Research, Cambridge, UK"

+a35d85c2efd1fb090267980ebb3fd7b6381e3b74,Very Low Resolution Image Classification,"Very Low Resolution Image Classification
+Adam Vest1
+Muhammadabdullah Jamal2
+Boqing Gong2
+University of Louisville 2 University of Central Florida"

+a3a6a6a2eb1d32b4dead9e702824375ee76e3ce7,Multiple Local Curvature Gabor Binary Patterns for Facial Action Recognition,"Multiple Local Curvature Gabor Binary
+Patterns for Facial Action Recognition
+Anıl Y¨uce, Nuri Murat Arar and Jean-Philippe Thiran
+Signal Processing Laboratory (LTS5),
+´Ecole Polytechnique F´ed´erale de Lausanne, Switzerland"

+a33262933df8534de571027d78ccd936bb9ec263,Real-Time Deep Learning Method for Abandoned Luggage Detection in Video,"Real-Time Deep Learning Method for Abandoned Luggage Detection in Video
+University of Bucharest, 14 Academiei, Bucharest, Romania
+Sorina Smeureanu∗‡, Radu Tudor Ionescu∗‡
+SecurifAI, 24 Mircea Vod˘a, Bucharest, Romania
+E-mails:"

+a32c5138c6a0b3d3aff69bcab1015d8b043c91fb,Video redaction: a survey and comparison of enabling technologies,"Downloaded From: https://www.spiedigitallibrary.org/journals/Journal-of-Electronic-Imaging on 9/19/2018
+Terms of Use: https://www.spiedigitallibrary.org/terms-of-use
+Videoredaction:asurveyandcomparisonofenablingtechnologiesShaganSahAmeyaShringiRaymondPtuchaAaronBurryRobertLoceShaganSah,AmeyaShringi,RaymondPtucha,AaronBurry,RobertLoce,“Videoredaction:asurveyandcomparisonofenablingtechnologies,”J.Electron.Imaging26(5),051406(2017),doi:10.1117/1.JEI.26.5.051406."

+a3bf7248e38ed6f9456f0f309b36470c5c0dabd0,Predicting the Driver's Focus of Attention: the DR(eye)VE Project,"Predicting the Driver’s Focus of Attention:
+the DR(eye)VE Project
+Andrea Palazzi∗, Davide Abati∗, Simone Calderara, Francesco Solera, and Rita Cucchiara"

+a3eab933e1b3db1a7377a119573ff38e780ea6a3,Sparse Representation for accurate classification of corrupted and occluded facial expressions,"978-1-4244-4296-6/10/$25.00 ©2010 IEEE
+ICASSP 2010"

+a308ad39f3cc25096f493280319621a25c2c7f46,Monocular 3D Scene Modeling and Inference: Understanding Multi-Object Traffic Scenes,"Monocular 3D Scene Modeling and Inference:
+Understanding Multi-Object Traffic Scenes
+Christian Wojek1,2, Stefan Roth1, Konrad Schindler1,3, and Bernt Schiele1,2
+Computer Science Department, TU Darmstadt
+MPI Informatics, Saarbr¨ucken
+Photogrammetry and Remote Sensing Group, ETH Z¨urich"

+a3be57fc74460463f03c2a14e81e7e62c05c692e,Object Detection,"Object Detection
+Yali Amit and Pedro Felzenszwalb, University of Chicago
+Related Concepts
+– Object Recognition
+– Image Classification
+Definition
+Object detection involves detecting instances of objects from a particular
+lass in an image.
+Background
+The goal of object detection is to detect all instances of objects from a known
+lass, such as people, cars or faces in an image. Typically only a small number
+of instances of the object are present in the image, but there is a very large
+number of possible locations and scales at which they can occur and that need
+to somehow be explored.
+Each detection is reported with some form of pose information. This could
+e as simple as the location of the object, a location and scale, or the extent
+of the object defined in terms of a bounding box. In other situations the pose
+information is more detailed and contains the parameters of a linear or non-linear
+transformation. For example a face detector may compute the locations of the
+eyes, nose and mouth, in addition to the bounding box of the face. An example"

+a3b87364aa68b371ca9831d333b934402fbc3713,Which neural mechanisms mediate the effects of a parenting intervention program on parenting behavior: design of a randomized controlled trial,"Kolijn et al. BMC Psychology  (2017) 5:9
+DOI 10.1186/s40359-017-0177-0
+Open Access
+ST UD Y P R O T O C O L
+Which neural mechanisms mediate the
+effects of a parenting intervention program
+on parenting behavior: design of a
+randomized controlled trial
+Laura Kolijn1,2,3, Saskia Euser1,2,3, Bianca G. van den Bulk1,2,3, Renske Huffmeijer1,2,3,
+Marinus H. van IJzendoorn1,2,3 and Marian J. Bakermans-Kranenburg1,2,3*"

+a3a34c1b876002e0393038fcf2bcb00821737105,Face Identification across Different Poses and Illuminations with a 3D Morphable Model,"Face Identification across Different Poses and Illuminations
+with a 3D Morphable Model
+V. Blanz, S. Romdhani, and T. Vetter
+University of Freiburg
+Georges-K¨ohler-Allee 52, 79110 Freiburg, Germany
+fvolker, romdhani,"

+a3f1db123ce1818971a57330d82901683d7c2b67,Poselets and Their Applications in High-Level Computer Vision,"Poselets and Their Applications in High-Level
+Computer Vision
+Lubomir Bourdev
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2012-52
+http://www.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-52.html
+May 1, 2012"

+a3d071d2a5c11329aa324b2cae6b7b6ca7800213,C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 Dataset,"C-VQA: A Compositional Split of the
+Visual Question Answering (VQA) v1.0 Dataset
+Aishwarya Agrawal∗, Aniruddha Kembhavi†, Dhruv Batra‡, Devi Parikh‡
+Virginia Tech, †Allen Institute for Artificial Intelligence, ‡Georgia Institute of Technology
+{dbatra,"

+a3a97bb5131e7e67316b649bbc2432aaa1a6556e,Role of the hippocampus and orbitofrontal cortex during the disambiguation of social cues in working memory.,"Cogn Affect Behav Neurosci
+DOI 10.3758/s13415-013-0170-x
+Role of the hippocampus and orbitofrontal cortex
+during the disambiguation of social cues in working memory
+Robert S. Ross & Matthew L. LoPresti & Karin Schon &
+Chantal E. Stern
+# Psychonomic Society, Inc. 2013"

+a35d3ba191137224576f312353e1e0267e6699a1,Increasing security in DRM systems through biometric authentication,"Javier Ortega-Garcia, Josef Bigun, Douglas Reynolds,
+nd Joaquin Gonzalez-Rodriguez
+Increasing security in DRM systems
+through biometric authentication.
+ecuring  the  exchange
+of  intellectual  property
+nd  providing  protection
+to  multimedia  contents  in
+distribution systems have enabled the
+dvent  of  digital  rights  management
+(DRM)  systems  [5],  [14],  [21],  [47],
+[51], [53]. Rights holders should be able to
+license, monitor, and track the usage of rights
+in  a  dynamic  digital  trading  environment,  espe-
+ially in the near future when universal multimedia
+ccess (UMA) becomes a reality, and any multimedia
+ontent  will  be  available  anytime,  anywhere.  In  such
+DRM  systems,  encryption  algorithms,  access  control,
+key  management  strategies,  identification  and  tracing
+of contents, or copy control will play a prominent role"

+a3d8887625040d3c07f779ac5353452fd48058e4,A Study of Activity Recognition and Questionable Observer Detection,"International Journal of Computer Applications (0975 – 8887)
+Volume 182 – No. 15, September 2018
+A Study of Activity Recognition and Questionable
+Observer Detection
+D. M. Anisuzzaman
+Department of Computer Science and Engineering,
+Ahsanullah University of Science and Technology,
+Dhaka, Bangladesh"

+b55489547790f7fb2c8b4689530b5660fbc8ee64,Face Scanning in Autism Spectrum Disorder and Attention Deficit/Hyperactivity Disorder: Human Versus Dog Face Scanning,"ORIGINAL RESEARCH
+published: 23 October 2015
+doi: 10.3389/fpsyt.2015.00150
+Face scanning in autism spectrum
+disorder and attention deficit/
+hyperactivity disorder: human
+versus dog face scanning
+Mauro Muszkat 1, Claudia Berlim de Mello 2, Patricia de Oliveira Lima Muñoz 3,
+Tania Kiehl Lucci 3, Vinicius Frayze David 3, José de Oliveira Siqueira 3 and Emma Otta 3*
+Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil, 2 Programa de Pós Graduação em
+Educação e Saúde, Universidade Federal de São Paulo, São Paulo, Brazil, 3 Departamento de Psicologia Experimental,
+Instituto de Psicologia, Universidade de São Paulo, São Paulo, Brazil
+This study used eye tracking to explore attention allocation to human and dog faces in chil-
+dren and adolescents with autism spectrum disorder (ASD), attention deficit/hyperactivity
+disorder (ADHD), and typical development (TD). Significant differences were found among
+the three groups. TD participants looked longer at the eyes than ASD and ADHD ones,
+irrespective of the faces presented. In spite of this difference, groups were similar in that
+they looked more to the eyes than to the mouth areas of interest. The ADHD group gazed
+longer at the mouth region than the other groups. Furthermore, groups were also similar
+in that they looked more to the dog than to the human faces. The eye-tracking tech-"

+b50f2ad8d7f08f99d4ba198120120f599f98095e,Spatiotemporal data fusion for precipitation nowcasting,"Spatiotemporal data fusion for precipitation
+nowcasting
+Vladimir Ivashkin
+Yandex, Moscow, Russia
+Vadim Lebedev
+Yandex, Moscow, Russia"

+b5f5781cba3c3da807359a6f600aa19c666a3f81,Comparing Attention to Socially-Relevant Stimuli in Autism Spectrum Disorder and Developmental Coordination Disorder,"Journal of Abnormal Child Psychology
+https://doi.org/10.1007/s10802-017-0393-3
+Comparing Attention to Socially-Relevant Stimuli in Autism
+Spectrum Disorder and Developmental Coordination Disorder
+Emma Sumner 1
+& Hayley C. Leonard 2 & Elisabeth L. Hill 3
+# The Author(s) 2018. This article is an open access publication"

+b58672881dd8112cd3e6dedebcf8367ce2c9d78b,Mechanistic Analytical Modeling of Superscalar In-Order Processor Performance,"Mechanistic Analytical Modeling of Superscalar In-Order
+Processor Performance
+MAXIMILIEN B. BREUGHE, STIJN EYERMAN, and LIEVEN EECKHOUT,
+Ghent University, Belgium
+Superscalar in-order processors form an interesting alternative to out-of-order processors because of their
+energy efficiency and lower design complexity. However, despite the reduced design complexity, it is nontrivial
+to get performance estimates or insight in the application–microarchitecture interaction without running
+slow, detailed cycle-level simulations, because performance highly depends on the order of instructions within
+the application’s dynamic instruction stream, as in-order processors stall on interinstruction dependences
+nd functional unit contention. To limit the number of detailed cycle-level simulations needed during design
+space exploration, we propose a mechanistic analytical performance model that is built from understanding
+the internal mechanisms of the processor.
+The mechanistic performance model for superscalar in-order processors is shown to be accurate with an
+verage performance prediction error of 3.2% compared to detailed cycle-accurate simulation using gem5. We
+lso validate the model against hardware, using the ARM Cortex-A8 processor and show that it is accurate
+within 10% on average. We further demonstrate the usefulness of the model through three case studies:
+(1) design space exploration, identifying the optimum number of functional units for achieving a given
+performance target; (2) program–machine interactions, providing insight into microarchitecture bottlenecks;
+nd (3) compiler–architecture interactions, visualizing the impact of compiler optimizations on performance.
+Categories and Subject Descriptors: C.0 [Computer Systems Organization]: General—Modeling of com-"

+b569f22ce779d221ec008c0baa354796d71e3d80,Image Classification for Arabic: Assessing the Accuracy of Direct English to Arabic Translations,"Image Classification for Arabic: Assessing the Accuracy of
+Direct English to Arabic Translations
+Information Systems Department, Prince Sattam Bin Abdulaziz university, Al Kharj, Saudi Arabia
+Abdulkareem Alsudais"

+b558be7e182809f5404ea0fcf8a1d1d9498dc01a,Bottom-up and top-down reasoning with convolutional latent-variable models,"Bottom-up and top-down reasoning with convolutional latent-variable models
+Peiyun Hu
+UC Irvine
+Deva Ramanan
+UC Irvine"

+b5fffbc0e590ce67d485f1602c8158befcef9fa8,The use of hidden Markov models to verify the identity based on facial asymmetry,"Kubanek and Bobulski EURASIP Journal on Image and Video
+Processing  (2017) 2017:45
+DOI 10.1186/s13640-017-0193-2
+EURASIP Journal on Image
+nd Video Processing
+RESEARCH
+Open Access
+The use of hidden Markov models to
+verify the identity based on facial asymmetry
+Mariusz Kubanek and Janusz Bobulski*"

+b5cd8151f9354ee38b73be1d1457d28e39d3c2c6,Finding Celebrities in Video,"Finding Celebrities in Video
+Nazli Ikizler
+Jai Vasanth
+Linus Wong
+David Forsyth
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2006-77
+http://www.eecs.berkeley.edu/Pubs/TechRpts/2006/EECS-2006-77.html
+May 23, 2006"

+b5476afccf97fc498f51170e65ac9cd9665fd2ce,Wide Range Face Pose Estimation by Modelling the 3D Arrangement of Robustly Detectable Sub-parts,"Wide Range Face Pose Estimation
+y Modelling the 3D Arrangement
+of Robustly Detectable Sub-Parts
+Thiemo Wiedemeyer1, Martin Stommel2 and Otthein Herzog3
+TZI Center for Computing and Communication Technologies,
+University Bremen, Am Fallturm 1, 28359 Bremen, Germany"

+b5fc4f9ad751c3784eaf740880a1db14843a85ba,Significance of image representation for face verification,"SIViP (2007) 1:225–237
+DOI 10.1007/s11760-007-0016-5
+ORIGINAL PAPER
+Significance of image representation for face verification
+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"

+b525a863eab597055e02351acfeab64754d22690,Pictorial Structures Revisited : Multiple Human Pose Estimation,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
+D Pictorial Structures Revisited:
+Multiple Human Pose Estimation
+Vasileios Belagiannis, Sikandar Amin, Mykhaylo Andriluka,
+Bernt Schiele, Nassir Navab, and Slobodan Ilic"

+b5af4b9d68f1b9b2c2999a726f6d2fbb2a49a3bf,Modulating early visual processing by language,"Modulating early visual processing by language
+Harm de Vries∗
+University of Montreal
+Florian Strub∗
+Univ. Lille, CNRS, Centrale Lille,
+Jérémie Mary†
+Univ. Lille, CNRS, Centrale Lille,
+Inria, UMR 9189 CRIStAL
+Inria, UMR 9189 CRIStAL
+Hugo Larochelle
+Google Brain
+Olivier Pietquin
+DeepMind
+Aaron Courville
+University of Montreal, CIFAR Fellow"

+b5f9c5af707f55d96b1d3d65d970270d35a60987,Comparison of face Recognition Algorithms on Dummy Faces,"The International Journal of Multimedia & Its Applications (IJMA) Vol.4, No.4, August 2012
+Comparison of face Recognition Algorithms on
+Dummy Faces
+Aruni Singh, Sanjay Kumar Singh, Shrikant Tiwari
+Department of Computer Engineering, IT-BHU, Varanasi-India"

+b5ba0c50cfe2559f4197bb35cf50441118b768c8,audEERING's approach to the One-Minute-Gradual Emotion Challenge,"udEERING’s approach to the One-Minute-Gradual Emotion Challenge
+Andreas Triantafyllopoulos, Hesam Sagha, Florian Eyben, Bj¨orn Schuller
+udEERING GmbH, Gilching, Germany"

+b5cf931cf0bd606575bc793c0c8ec6d913d08bc6,"Geometric primitive feature extraction - concepts, algorithms, and applications","GEOMETRIC PRIMITIVE FEATURE EXTRACTION –
+CONCEPTS, ALGORITHMS, AND APPLICATIONS
+DILIP KUMAR PRASAD
+School of Computer Engineering
+A Thesis submitted to the Nanyang Technological University
+in fulfillment of the requirement for the degree of
+Doctor of Philosophy"

+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
+A thesis submitted in partial fulfillment of the requirements
+for the degree of Master of Science in Computer Science
+in the Department of Electrical Engineering and Computer Science
+in the College of Engineering and Computer Science
+t the University of Central Florida
+Orlando, Florida
+Spring Term
+Major Professor: Gita R. Sukthankar"

+b55853483873d3947e8c962f1152128059369d93,DoShiCo challenge: Domain shift in control prediction,"DoShiCo challenge:
+Domain Shift in Control prediction
+Klaas Kelchtermans∗ and Tinne Tuytelaars∗"

+b58e71a3336193bed5785b2818a4fec85dd5f5ff,Object Detection and Tracking for Autonomous Navigation in Dynamic Environments,"Object detection and tracking for autonomous navigation
+in dynamic environments
+Andreas Ess · Konrad Schindler · Bastian Leibe · Luc Van Gool"

+b5160e95192340c848370f5092602cad8a4050cd,Video Classification With CNNs: Using The Codec As A Spatio-Temporal Activity Sensor,"IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, TO APPEAR
+Video Classification With CNNs: Using The Codec
+As A Spatio-Temporal Activity Sensor
+Aaron Chadha, Alhabib Abbas and Yiannis Andreopoulos, Senior Member, IEEE"

+b501361ad3ad4f78a3966830a40d2b4f68466c80,Night-time Vehicle Detection for Automatic Headlight Beam Control,"International Journal of Computer Applications (0975 – 8887)
+Volume 157 – No 7, January 2017
+Night-time Vehicle Detection for Automatic Headlight
+Beam Control
+Pushkar Sevekar
+Student, Department of
+Electronics Engineering
+A.I.S.S.M.S. Institute of
+Information Technology,
+Pune, India"

+b58417561ea400b60bd976104e43b1361e1314ba,Target Tracking In Real Time Surveillance Cameras and Videos,"Target Tracking In Real Time Surveillance
+Cameras and Videos
+Nayyab Naseem                                             Mehreen Sirshar
+Department of Software Engineering             Department of Software Engineering
+Fatima Jinnah Women University                   Fatima Jinnah Women University"

+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"

+b5790f1bc586a77ff2cbea002b7ad2646e32af6b,Person Re-Identification Ranking Optimisation by Discriminant Context Information Analysis,"Person Re-Identification Ranking Optimisation by
+Discriminant Context Information Analysis
+Jorge Garc´ıa1, Niki Martinel2, Christian Micheloni2 and Alfredo Gardel1
+Department of Electronics, University of Alcala, Alcal´a de Henares, Spain
+Department of Mathematics and Computer Science, University of Udine, Udine, Italy"

+b573a57b3da678631bd78f25ecdeac7cd36fa617,A Multi-view RGB-D Approach for Human Pose Estimation in Operating Rooms,"A Multi-view RGB-D Approach for Human Pose Estimation in Operating Rooms
+Abdolrahim Kadkhodamohammadi1, Afshin Gangi1,2, Michel de Mathelin1, Nicolas Padoy1
+ICube, University of Strasbourg, CNRS, IHU Strasbourg, France
+Radiology Department, University Hospital of Strasbourg, France
+{kadkhodamohammad, gangi, demathelin,"

+b5f9d5be7561bb6eacee9012275b17c75696c388,A Teacher Student Network for Faster Video Classification,"Under review as a conference paper at ICLR 2019
+A TEACHER STUDENT NETWORK FOR FASTER VIDEO
+CLASSIFICATION
+Anonymous authors
+Paper under double-blind review"

+b5793958cd1654b4817ebb57f5484dfd8861f916,Recurrent Image Captioner: Describing Images with Spatial-Invariant Transformation and Attention Filtering,"Recurrent Image Captioner: Describing Images with Spatial-Invariant
+Transformation and Attention Filtering
+Hao Liu
+UESTC, China
+Yang Yang
+UESTC, China
+Fumin Shen
+UESTC, China
+Lixin Duan
+UESTC, China
+Heng Tao Shen
+UESTC, China"

+b5c5a57f5ecd8e11cd47814d584daba53aa14d3c,SOSVR Team Description Paper Robocup 2017 Rescue Virtual Robot League,"SOSVR Team Description Paper
+Robocup 2017 Rescue Virtual Robot League
+Mahdi Taherahmadi, Sajjad Azami, MohammadHossein GohariNejad, Mostafa
+Ahmadi, and Saeed Shiry Ghidary
+Cognitive Robotics Lab, Amirkabir University of Technology (Tehran Polytechnic),
+No. 424, Hafez Ave., Tehran, Iran. P. O. Box"

+b5857b5bd6cb72508a166304f909ddc94afe53e3,SSIG and IRISA at Multimodal Person Discovery,"SSIG and IRISA at Multimodal Person Discovery
+Cassio E. dos Santos Jr1, Guillaume Gravier2, William Robson Schwartz1
+Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
+IRISA & Inria Rennes , CNRS, Rennes, France"

+b5050d74dd8f0384506bcd365b31044c80d476c0,Discriminative Multimetric Learning for Kinship Verification,"Discriminative Multimetric Learning
+for Kinship Verification
+Haibin Yan, Jiwen Lu, Member, IEEE, Weihong Deng, and Xiuzhuang Zhou, Member, IEEE"

+b51e3d59d1bcbc023f39cec233f38510819a2cf9,"Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines?","CBMM Memo No. 003
+March 27, 2014
+Can a biologically-plausible hierarchy effectively
+replace face detection, alignment, and
+recognition pipelines?
+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
+Automatic  facial  expression  recognition  is  a  widely
+studied  problem  in  computer  vision  and  human-robot
+interaction.  There  has  been  a  range  of  studies  for
+representing  facial  descriptors  for  facial  expression
+recognition. Some prominent descriptors were presented
+in  the  first  facial  expression  recognition  and  analysis
+hallenge  (FERA2011).  In  that  competition,  the  Local
+Gabor  Binary  Pattern  Histogram  Sequence  descriptor
+showed the most powerful description capability. In this
+paper, we introduce hybrid facial representations for facial
+expression  recognition,  which  have  more  powerful
+description  capability  with  lower  dimensionality.  Our
+descriptors consist of a block-based descriptor and a pixel-
+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"

+b5f7b17b0feb3a1f3af60dce61fd9a9c6b067368,The Benefits of Dense Stereo for Pedestrian Detection,"The Benefits of Dense Stereo
+for Pedestrian Detection
+Christoph G. Keller, Markus Enzweiler, Marcus Rohrbach, David Fernández Llorca,
+Christoph Schnörr, and Dariu M. Gavrila"

+b22b4817757778bdca5b792277128a7db8206d08,SCAN: Learning Hierarchical Compositional Visual Concepts,"Published as a conference paper at ICLR 2018
+SCAN: LEARNING HIERARCHICAL
+COMPOSITIONAL VISUAL CONCEPTS
+Irina Higgins, Nicolas Sonnerat, Loic Matthey, Arka Pal,
+Christopher P Burgess, Matko Bošnjak, Murray Shanahan,
+Matthew Botvinick, Demis Hassabis, Alexander Lerchner
+DeepMind, London, UK
+{irinah,sonnerat,lmatthey,arkap,cpburgess,"

+b26f6e3cad2b3d129c0e70e9307ce9197cad2123,Robust Wearable Camera Localization as a Target Tracking Problem on SE(3),"G.BOURMAUD ET AL.: ROBUST WEARABLE CAMERA LOCALIZATION
+Robust Wearable Camera Localization as a
+Target Tracking Problem on SE(3)
+Guillaume Bourmaud
+Audrey Giremus
+IMS Laboratory CNRS UMR 5218
+University of Bordeaux
+France"

+b266be4d9fab8bf307ee2e6fdd6180ac7f6ef893,Look into Person: Joint Body Parsing&Pose Estimation Network and A New Benchmark,"Look into Person: Joint Body Parsing & Pose
+Estimation Network and A New Benchmark
+Xiaodan Liang, Ke Gong, Xiaohui Shen, and Liang Lin"

+b2e2260b8d811948e71898d3adfa8aa6b64fe125,Learning Arbitrary Potentials in CRFs with Gradient Descent,"Learning Arbitrary Potentials in CRFs with Gradient Descent
+M˚ans Larsson1
+Fredrik Kahl1,2
+Chalmers Univ. of Technology 2Lund Univ.
+Shuai Zheng3 Anurag Arnab3
+Oxford Univ.
+Philip Torr3 Richard Hartley4
+Australian National Univ."

+b2444e837095706998b03fa5fed223411b9d4d55,Color Based Tracing in Real-Life Surveillance Data,"Color Based Tracing in Real-life Surveillance
+Michael J. Metternich, Marcel Worring, and Arnold W.M. Smeulders
+ISLA-University of Amsterdam,
+Science Park 107, 1098 XG Amsterdam, The Netherlands
+http://www.science.uva.nl/research/isla/"

+b2046c78d4e2f00a72ee9a76875746d2d3f47e1c,Variational Infinite Hidden Conditional Random Fields,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
+IEEE TRANSACTION ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
+Variational Infinite
+Hidden Conditional Random Fields
+Konstantinos Bousmalis, Student Member, IEEE, Stefanos Zafeiriou, Member, IEEE,
+Louis-Philippe Morency, Member, IEEE, Maja Pantic, Fellow, IEEE,
+nd Zoubin Ghahramani, Member, IEEE"

+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"

+b28e142376a2dd639f58935f2f63a9dc7651131e,Investigation of Gait Representations in Lower Knee Gait 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
+MTech Student 1 , Assistant Professor 2  , Department of Computer Science and Engineeringt1, 2, Disha Institute of
+Management and Technology, Raipur Chhattisgarh, India1, 2
+Vinita Phatnani1, Akash Wanjari2,
+its  significant  contribution"

+b29e60ddcabff5002c3ddec135ec94dd991d8d5a,Compressing deep convolutional neural networks in visual emotion recognition,"Compressing deep convolutional neural networks in visual emotion
+recognition
+A.G. Rassadin1, A.V. Savchenko1
+National Research University Higher School of Economics, Laboratory of Algorithms and Technologies for Network Analysis, 25/12 Bolshaya Pecherskaya
+Street, 603155, Nizhny Novgorod, Russia"

+b277bde51641d6b08693c171aea761beb14af800,Face Kernel Extraction from Local Features,"FACE KERNEL EXTRACTION FROM
+LOCAL FEATURES
+A thesis submitted to the University of Manchester
+for the degree of Doctor of Philosophy
+in the Faculty of Engineering and Physical Sciences
+Maria Pavlou
+School of Electrical Engineering and Electronics"

+b2e67e67e5bbb19a02524afcc217929b0a76a9a7,Chapter 12 Using Ocular Data for Unconstrained Biometric Recognition,"Face Recognition in Adverse ConditionsMaria De MarsicoSapienza University of Rome, ItalyMichele NappiUniversity of Salerno, ItalyMassimo TistarelliUniversity of Sassari, ItalyA volume in the Advances in Computational Intelligence and Robotics (ACIR) Book Series"

+b2b535118c5c4dfcc96f547274cdc05dde629976,Automatic Recognition of Facial Displays of Unfelt Emotions,"JOURNAL OF IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, VOL. XX, NO. X, XXX 2017
+Automatic Recognition of Facial Displays of
+Unfelt Emotions
+Kaustubh Kulkarni*, Ciprian Adrian Corneanu*, Ikechukwu Ofodile*, Student Member, IEEE, Sergio
+Escalera, Xavier Bar´o, Sylwia Hyniewska, Member, IEEE, J¨uri Allik,
+nd Gholamreza Anbarjafari, Senior Member, IEEE"

+b235b4ccd01a204b95f7408bed7a10e080623d2e,Regularizing Flat Latent Variables with Hierarchical Structures,"Regularizing Flat Latent Variables with Hierarchical Structures
+Rongcheng Lin(cid:117) , Huayu Li(cid:117) , Xiaojun Quan† , Richang Hong(cid:63) , Zhiang Wu∓ , Yong Ge(cid:117)
+(cid:117)UNC Charlotte. Email: {rlin4, hli38,
+(cid:63) Hefei University of Technology. Email:
+Institute for Infocomm Research. Email:
+∓ Nanjing University of Finance and Economics. Email:"

+b20a5427d79c660fe55282da2533071629bfc533,Deep Learning Advances on Different 3D Data Representations: A Survey,"Deep Learning Advances on Different 3D Data
+Representations: A Survey
+Eman Ahmed, Alexandre Saint, Abd El Rahman Shabayek, Kseniya Cherenkova, Rig Das, Gleb Gusev,
+Djamila Aouada and Bj¨orn Ottersten"

+b2504b0b2a7e06eab02a3584dd46d94a3f05ffdf,Conditional Neural Processes,"Conditional Neural Processes
+Marta Garnelo 1 Dan Rosenbaum 1 Chris J. Maddison 1 Tiago Ramalho 1 David Saxton 1 Murray Shanahan 1 2
+Yee Whye Teh 1 Danilo J. Rezende 1 S. M. Ali Eslami 1"

+b285e50220fb6c09cf3c724c7e48093373df3c58,Semisupervised Classifier Evaluation and Recalibration,"Semisupervised Classifier Evaluation
+nd Recalibration
+Peter Welinder∗, Max Welling†, and Pietro Perona‡
+October 7, 2012"

+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
+Kernel Optimization Through Graph Embedding
+N. Vretos, A. Tefas and I. Pitas
+the date of receipt and acceptance should be inserted later"

+b2f4871cf9f61c44b16c733369d8730e90d9cc0d,The role of emotion in problem solving: first results from observing chess,"The Role of Emotion in Problem Solving: First Results
+from Observing Chess
+Thomas Guntz1, James L. Crowley1, Dominique Vaufreydaz1, Raffaella Balzarini1,
+Philippe Dessus1,2
+Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG, 38000 Grenoble, France
+Univ. Grenoble Alpes, LaRAC, 38000 Grenoble, France
+Author version"

+b2624c3cb508bf053e620a090332abce904099a1,Dynamic Memory Networks for Visual and Textual Question Answering,"Dynamic Memory Networks for Visual and Textual Question Answering
+Caiming Xiong*, Stephen Merity*, Richard Socher
+MetaMind, Palo Alto, CA USA
+{CMXIONG,SMERITY,RICHARD}METAMIND.IO
+*indicates equal contribution."

+b2abaffc4d68ebf910dd85c0f7a367895ab90e2a,Iris recognition using scattering transform and textural features,"IRIS RECOGNITION USING SCATTERING TRANSFORM AND TEXTURAL FEATURES
+Shervin Minaee, AmirAli Abdolrashidi and Yao Wang
+ECE Department, NYU Polytechnic School of Engineering, USA
+{shervin.minaee, abdolrashidi,"

+d904f945c1506e7b51b19c99c632ef13f340ef4c,0 ° 15 ° 30 ° 45 ° 60 ° 75 ° 90 °,"A scalable 3D HOG model for fast object detection and viewpoint estimation
+Marco Pedersoli
+Tinne Tuytelaars
+KU Leuven, ESAT/PSI - iMinds
+Kasteelpark Arenberg 10 B-3001 Leuven, Belgium"

+d914c53cdf26acc64259d381fbd45c4e150633ee,Pedestrian Tracking in the Compressed Domain Using Thermal Images,"Pedestrian Tracking in the Compressed Domain
+Using Thermal Images
+Ichraf Lahouli1,2,3, Robby Haelterman1, Zied Chtourou2, Geert De Cubber1,
+nd Rabah Attia3
+Royal Military Academy,
+Brussels, Belgium
+VRIT Lab, Military Academy of Tunisia,
+Nabeul, Tunisia
+SERCOM Lab, Tunisia Polytechnic School,
+La Marsa, Tunisia"

+d9f0640716ec25278e6f1a4fdda5596660504c54,A Correlated Parts Model for Object Detection in Large 3D Scans,"EUROGRAPHICS 2013 / I. Navazo, P. Poulin
+(Guest Editors)
+Volume 32 (2013), Number 2
+A Correlated Parts Model for Object Detection in Large 3D
+Scans
+M. Sunkel1, S. Jansen1, M. Wand1,2, H.-P. Seidel1
+MPI Informatik
+Saarland University
+Figure 1: Based on sparse user annotations a shape model is learned. The detected instances are transformed into descriptors
+for the second hierarchy level. Hierarchical detections shown on the right are obtained using only the example marked red."

+d9810786fccee5f5affaef59bc58d2282718af9b,Adaptive Frame Selection for Enhanced Face Recognition in Low-Resolution Videos,"Adaptive Frame Selection for
+Enhanced Face Recognition in
+Low-Resolution Videos
+Raghavender Reddy Jillela
+Thesis submitted to the
+College of Engineering and Mineral Resources
+t West Virginia University
+in partial fulfillment of the requirements
+for the degree of
+Master of Science
+Electrical Engineering
+Arun Ross, PhD., Chair
+Xin Li, PhD.
+Donald Adjeroh, PhD.
+Lane Department of Computer Science and Electrical Engineering
+Morgantown, West Virginia
+Keywords: Face Biometrics, Super-Resolution, Optical Flow, Super-Resolution using
+Optical Flow, Adaptive Frame Selection, Inter-Frame Motion Parameter, Image Quality,
+Image-Level Fusion, Score-Level Fusion
+Copyright 2008 Raghavender Reddy Jillela"

+d929534024614e3153c986e55d758ea7471d3fff,How Not to Evaluate a Developmental System,"How Not to Evaluate a Developmental System
+Frederick Shic and Brian Scassellati"

+d94d7ff6f46ad5cab5c20e6ac14c1de333711a0c,Face Album: Towards automatic photo management based on person identity on mobile phones,"978-1-5090-4117-6/17/$31.00 ©2017 IEEE
+ICASSP 2017"

+d930ec59b87004fd172721f6684963e00137745f,Face Pose Estimation using a Tree of Boosted Classifiers,"Face Pose Estimation using a
+Tree of Boosted Classifiers
+Javier Cruz Mota
+Project Assistant: Julien Meynet
+Professor: Jean-Philippe Thiran
+Signal Processing Institute,
+´Ecole Polytechnique F´ed´erale de Lausanne (EPFL)
+September 11, 2006"

+d951ff5f378b2a5f878423029123ad6b3491b444,Foveal Vision for Instance Segmentation of Road Images,"Foveal Vision for Instance Segmentation of Road Images
+Benedikt Ortelt1, Christian Herrmann2,3, Dieter Willersinn2, J¨urgen Beyerer2,3
+Robert Bosch GmbH, Leonberg, Germany
+Fraunhofer IOSB, Karlsruhe, Germany
+Karlsruhe Institute of Technology KIT, Vision and Fusion Lab, Karlsruhe, Germany
+Keywords:
+Instance Segmentation, Multi-Scale Analysis, Foveated Imaging, Cityscapes."

+d9fe0b257ec50a12ba1af749fad56a6f705d16a4,High Frequency Regions for Face Recognition,"The International Journal of Multimedia & Its Applications (IJMA) Vol.4, No.1, February 2012
+FEATURE IMAGE GENERATION USING LOW, MID
+AND HIGH FREQUENCY REGIONS FOR FACE
+RECOGNITION
+Vikas Maheshkar1, Sushila Kamble2, Suneeta Agarwal3 and Vinay Kumar
+Srivastava4
+-3Department of Computer Science and Engineering, MNNIT, Allahabad
+Department of Electronics & Communication Engineering, MNNIT, Allahabad"

+d9318c7259e394b3060b424eb6feca0f71219179,Face Matching and Retrieval Using Soft Biometrics,"Face Matching and Retrieval Using Soft Biometrics
+Unsang Park, Member, IEEE, and Anil K. Jain, Fellow, IEEE"

+d9ee64038aea3a60120e9f7de16eb4130940a103,Message Passing Multi-Agent GANs,"Message Passing Multi-Agent GANs
+Arnab Ghosh∗, Viveka Kulharia∗, Vinay Namboodiri
+IIT Kanpur"

+d97e7799142e2c66b63fe63bc52632fdf305f313,Lanczos Vectors versus Singular Vectors for Effective Dimension Reduction,"Lanczos Vectors versus Singular Vectors for
+Effective Dimension Reduction
+Jie Chen and Yousef Saad"

+d9fda0030ca349da7b1dafca015bea95a6aabea0,ISA2: Intelligent Speed Adaptation from Appearance,"ISA2: Intelligent Speed Adaptation from Appearance
+Carlos Herranz-Perdiguero1 and Roberto J. L´opez-Sastre1"

+d950af49c44bc5d9f4a5cc1634e606004790b1e5,Divide and Fuse: A Re-ranking Approach for Person Re-identification,"YU ET AL.: DIVIDE AND FUSE: A RE-RANKING APPROACH FOR PERSON RE-ID
+Divide and Fuse: A Re-ranking Approach for
+Person Re-identification
+Huazhong University of Science and
+Technology
+Wuhan, China
+Rui Yu
+Zhichao Zhou
+Song Bai
+Xiang Bai ∗"

+d9ef1a80738bbdd35655c320761f95ee609b8f49,A Research - Face Recognition by Using Near Set Theory,"Volume 5, Issue 4, 2015                                     ISSN: 2277 128X
+International Journal of Advanced Research in
+Computer Science and Software Engineering
+Research Paper
+Available online at: www.ijarcsse.com
+A Research - Face Recognition by Using Near Set Theory
+Manisha V. Borkar, Bhakti Kurhade
+Department of Computer Science and  Engineering
+Abha Gaikwad -Patil College of  Engineering, Nagpur, Maharashtra, India"

+d930d20ba42a5d868dd78dd73bac0f72110e0bc5,Multivariate Shape Modeling and Its Application to Characterizing Abnormal Amygdala Shape in Autism,"Multivariate Shape Modeling and Its Application to
+Characterizing Abnormal Amygdala Shape in Autism
+Moo K. Chunga,b∗,Keith J. Worsleyd, Brendon, M. Nacewiczb,
+Kim M. Daltonb, Richard J. Davidsonb,c
+Department of Biostatistics and Medical Informatics
+Waisman Laboratory for Brain Imaging and Behavior
+Department of Psychology and Psychiatry
+University of Wisconsin, Madison, WI 53706, USA
+dDepartment of Statistics
+University of Chicago, Chicago, IL 60637, USA
+September 22, 2009"

+d94b37958657aa703d8a3d02a66ee251b4c3f597,Learning deep features from body and parts for person re-identification in camera networks,"Zhang and Si EURASIP Journal on Wireless Communications and
+Networking  (2018) 2018:52
+https://doi.org/10.1186/s13638-018-1060-2
+RESEARCH
+Open Access
+Learning deep features from body and
+parts for person re-identification in camera
+networks
+Zhong Zhang1,2* and Tongzhen Si1,2"

+d9df2ed64494f54c0e2529f2c05a16423a57235c,A Novel Approach for Facial Expression Analysis in real time applications using SIFT flow and SVM,"Australian Journal of Basic and Applied Sciences, 9(21) Special 2015, Pages: 1-6
+ISSN:1991-8178
+Australian Journal of Basic and Applied Sciences
+Journal home page: www.ajbasweb.com
+A Novel Approach for Facial Expression Analysis in real time applications using SIFT
+flow and SVM
+K. Suganya Devi and 2P. Srinivasan
+Department of Computer Science and Engineering, University college of Engg Panruti, Panruti 607106, Tamilnadu, India
+Department of Physics, University college of Engg Panruti, Panruti 607106, Tamilnadu, India
+A R T I C L E   I N F O
+Article history:
+Article Received : 12 January 2015
+Revised: 1 May 2015
+Accepted:  8 May 2015
+Keywords:
+Expression  recognition,  Facial  region
+selection,  Facial  expression,  Sparse
+learning  technique,  Scale  Invariant
+Feature Transform flow, SVM
+A B S T R A C T"

+d9c4b1ca997583047a8721b7dfd9f0ea2efdc42c,Learning Inference Models for Computer Vision,Learning Inference Models for Computer Vision

+d94c7a89adf6f568bbe1510910850d5083a58b4f,Deep Cross Modal Learning for Caricature Verification and Identification (CaVINet),"Deep Cross Modal Learning for Caricature Verification and
+Identification(CaVINet)
+https://lsaiml.github.io/CaVINet/
+Jatin Garg∗
+Indian Institute of Technology Ropar
+Himanshu Tolani∗
+Indian Institute of Technology Ropar
+Skand Vishwanath Peri∗
+Indian Institute of Technology Ropar
+Narayanan C Krishnan
+Indian Institute of Technology Ropar"

+d9bc16dcbc13502389704e4a0bdd8ee7af618069,Learning pullback HMM distances for action recognition,Learning pullback HMM distances for action recognition

+d9bad7c3c874169e3e0b66a031c8199ec0bc2c1f,"It All Matters: Reporting Accuracy, Inference Time and Power Consumption for Face Emotion Recognition on Embedded Systems","It All Matters:
+Reporting Accuracy, Inference Time and Power Consumption
+for Face Emotion Recognition on Embedded Systems
+Jelena Milosevic
+Institute of Telecommunications, TU Wien
+Andrew Forembsky
+Movidius an Intel Company
+Dexmont Pe˜na
+Movidius an Intel Company
+David Moloney
+Movidius an Intel Company
+Miroslaw Malek
+ALaRI, Faculty of Informatics, USI"

+d9327b9621a97244d351b5b93e057f159f24a21e,Laplacian smoothing transform for face recognition,"SCIENCE CHINA
+Information Sciences
+. RESEARCH PAPERS .
+December 2010 Vol. 53 No. 12: 2415–2428
+doi: 10.1007/s11432-010-4099-1
+Laplacian smoothing transform for face recognition
+GU SuiCheng, TAN Ying
+& HE XinGui
+Key Laboratory of Machine Perception (MOE); Department of Machine Intelligence,
+School of Electronics Engineering and Computer Science; Peking University, Beijing 100871, China
+Received March 16, 2009; accepted April 1, 2010"

+d92581c452e780710938cfbfa0f1ca2ffccc5d5e,Facial Feature Extraction Based on Local Color and Texture for Face Recognition using Neural Network,"International Journal of Science and Engineering Applications
+Volume 2 Issue 4, 2013, ISSN-2319-7560 (Online)
+Facial Feature Extraction Based on Local Color and Texture
+for Face Recognition using Neural Network
+S.Cynthia Christabel
+M.Annalakshmi
+Sethu Institute of Technology.
+Sethu Institute of Technology.
+Kariapatti.
+Kariapatti.
+Mr.D.Prince Winston
+Aruppukottai."

+aca232de87c4c61537c730ee59a8f7ebf5ecb14f,Ebgm Vs Subspace Projection for Face Recognition,"EBGM VS SUBSPACE PROJECTION FOR FACE RECOGNITION
+Andreas Stergiou, Aristodemos Pnevmatikakis, Lazaros Polymenakos
+9.5 Km Markopoulou Avenue, P.O. Box 68, Peania, Athens, Greece
+Athens Information Technology
+Keywords:
+Human-Machine Interfaces, Computer Vision, Face Recognition."

+ac7f898ff5789914d423526c392ee61b979fdd8e,"Target Tracking with Kalman Filtering, KNN and LSTMs","Target Tracking with Kalman Filtering, KNN and LSTMs
+Dan Iter
+Jonathan Kuck
+Philip Zhuang
+December 17, 2016"

+ac6a9f80d850b544a2cbfdde7002ad5e25c05ac6,Privacy-Protected Facial Biometric Verification Using Fuzzy Forest Learning,"Privacy-Protected Facial Biometric Verification
+Using Fuzzy Forest Learning
+Richard Jiang, Ahmed Bouridane, Senior Member, IEEE, Danny Crookes, Senior Member, IEEE,
+M. Emre Celebi, Senior Member, IEEE, and Hua-Liang Wei"

+aca8c4a62ed6e590889f1e859d7bc79311fa6f4d,Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN,"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)
+Semantic labels Observer A Observer B Observer C Figure1:AnillustrationofPSMdataset.Ourdatasetprovidesbotheyefixationsofdifferentsubjectsandsemanticlabels.Duetothelargeamountofobjectsinourdataset,foreachimage,wedidn’tful-lysegmentitandonlylabelledobjectsthatcoveratleastthreegazepointsfromeachindividual.AnotabledifferencebetweenPSManditspredecessorsisthateachsubjectslooks4timesonPSMdatatoderivesolidfixationgroundtruthmaps.Bothcommonalityanddis-tinctivenessexistforPSMsviewedbydifferentparticipant.ThismotivatesustomodelPSMbasedonUSM.recognizingheterogeneityacrossindividuals.ExamplesinFig.1illustratethatwhilemultipleobjectsaredeemedhigh-lysalientwithinthesameimage(eg,humanface(firstrow),text(lasttowrows)andobjectof(highcolorcontrast),differ-entindividualshaveverydifferentfixationpreferenceswhenviewingtheimage.Fortherestofthepaper,weusetermuniversalsaliencytodescribesalientregionsthatincurhighfixationsacrossallsubjectsandtermpersonalizedsaliencytodescribetheheterogeneousones.Motivation.Infact,heterogeneityinsaliencypreferencehasbeenwidelyrecognizedinpsychology:”Interestingnessishighlysubjectiveandthereareindividualswhodidnotconsideranyimageinterestinginsomesequences”[Gyglietal.,2013].Therefore,onceweknowaperson’spersonal-izedinterestingnessovereachimage(personalizedsaliency),weshalldesigntailoredalgorithmstocatertohim/herneed-s.Forexample,intheapplicationofimageretargeting,thetextsonthetableinthefourthrowinFig.1shouldbepre-"

+ac83b9ad20ecf63c7818ff1e43a99b4c626fac12,Accuracy and Security Evaluation of Multi-Factor Biometric Authentication,"Accuracy and Security Evaluation of Multi-Factor Biometric Authentication
+Hisham Al-Assam, Harin Sellahewa, Sabah Jassim
+Department of Applied Computing
+University of Buckingham
+Buckingham, MK18 1EG, United Kingdom
+{hisham.al-assam, harin.sellahewa,"

+ac57b04359818c17d416ee53ae05a5f126eca4db,Detection and classification of the behavior of people in an intelligent building by camera,"Detection and classification of the behavior of people in an
+intelligent building by camera
+Henni Sid Ahmed1, Belbachir Mohamed Faouzi2, Jean Caelen3
+Universite of sciences and technology USTO in Oran Algeria, laboratory LSSD, Faculty  genie
+electrique, department electronique, BP 1505 el menouar Oran 31000 Algeria
+Universite of sciences and technology USTO in Oran Algeria,  laboratory LSSD, Faculty genie
+electrique, department electronique,  BP 1505 el menouar Oran 31000 Algeria
+Universite Joseph Fourier, Grenoble, F , LIG   Grenoble computer laboratory ,domaine
+universitaire BP 53, 220 rue de la   chimie 38041 Grenoble cedex 9  France
+Emails: 1
+Submitted: Apr. 10, 2013                 Accepted: July 30, 2013              Published: Sep. 3, 2013"

+accbd6cd5dd649137a7c57ad6ef99232759f7544,Facial Expression Recognition with Local Binary Patterns and Linear Programming,"FACIAL EXPRESSION RECOGNITION WITH LOCAL BINARY PATTERNS
+AND LINEAR PROGRAMMING
+Xiaoyi Feng1, 2, Matti Pietikäinen1, Abdenour Hadid1
+Machine Vision Group, Infotech Oulu and Dept. of Electrical and Information Engineering
+P. O. Box 4500 Fin-90014 University of Oulu, Finland
+2 College of Electronics and Information, Northwestern Polytechnic University
+710072 Xi’an, China
+In  this  work,  we  propose  a  novel  approach  to  recognize  facial  expressions  from  static
+images. First, the Local Binary Patterns (LBP) are used to efficiently represent the facial
+images and then the Linear Programming (LP) technique is adopted to classify the seven
+facial  expressions  anger,  disgust,  fear,  happiness,  sadness,  surprise  and  neutral.
+Experimental results demonstrate an average recognition accuracy of 93.8% on the JAFFE
+database, which outperforms the rates of all other reported methods on the same database.
+Introduction
+Facial  expression  recognition  from  static
+images  is  a  more  challenging  problem
+than  from  image  sequences  because  less
+information  for  expression  actions
+vailable.  However,  information  in  a
+single  image  is  sometimes  enough  for"

+ac88405d34b7b6fa701e25d9fbdb56126cc9a8c3,On the Diversity of Realistic Image Synthesis,"On the Diversity of Realistic Image Synthesis
+Zichen Yang, Haifeng Liu, Member, IEEE and Deng Cai, Member, IEEE"

+ac4c19e52a58aea27593b99f0ebe5316339b9646,A Probabilistic Approach for Image Retrieval Using Descriptive Textual Queries,"A Probabilistic Approach for Image Retrieval Using
+Descriptive Textual Queries
+Yashaswi Verma
+CVIT, IIIT Hyderabad, India
+C. V. Jawahar
+CVIT, IIIT Hyderabad, India"

+ac479607e6b44c69022a56b5847a055535ae63ed,Cross-domain fashion image retrieval,"Cross-domain fashion image retrieval
+Bojana Gaji´c, Ramon Baldrich
+Computer Vision Center
+Universitat Autnoma de Barcelona
+Edifici O. UAB. Bellaterra, Spain.
+{bgajic,"

+ac968bf321f1dfa2d216dccc22fa5315de63d7bd,Face Template Protection using Deep Convolutional Neural Network,"Face Template Protection using Deep Convolutional Neural Network
+Arun Kumar Jindal, Srinivas Chalamala, Santosh Kumar Jami
+TCS Research, Tata Consultancy Services, India
+{jindal.arun, chalamala.srao,"

+acaa89fb6263aef7ad58a37d9cac79c8fcaa29ca,Person Re-identification in Identity Regression Space,"Noname manuscript No.
+(will be inserted by the editor)
+Person Re-Identification in Identity Regression Space
+Hanxiao Wang · Xiatian Zhu · Shaogang Gong · Tao Xiang
+Received: date / Accepted: date"

+acee1e7700e9f084ff64805a2c67d16fe69e63a8,250 years Lambert surface: does it really exist?,"50 years Lambert surface: does it really
+exist?
+Institut f¨ur Lasertechnologien in der Medizin und Meßtechnik, Helmholtzstr.12, D-89081 Ulm,
+Alwin Kienle∗ and Florian Foschum
+Germany"

+ac26166857e55fd5c64ae7194a169ff4e473eb8b,Personalized Age Progression with Bi-Level Aging Dictionary Learning,"Personalized Age Progression with Bi-level
+Aging Dictionary Learning
+Xiangbo Shu, Jinhui Tang, Senior Member, IEEE, Zechao Li, Hanjiang Lai, Liyan Zhang
+nd Shuicheng Yan, Fellow, IEEE"

+ac559873b288f3ac28ee8a38c0f3710ea3f986d9,Team DEEP-HRI Moments in Time Challenge 2018 Technical Report,"Team DEEP-HRI Moments in Time Challenge 2018 Technical Report
+Chao Li, Zhi Hou, Jiaxu Chen, Yingjia Bu, Jiqiang Zhou, Qiaoyong Zhong, Di Xie and Shiliang Pu
+Hikvision Research Institute"

+ac8e09128e1e48a2eae5fa90f252ada689f6eae7,Leolani: A Reference Machine with a Theory of Mind for Social Communication,"Leolani: a reference machine with a theory of
+mind for social communication
+Piek Vossen, Selene Baez, Lenka Baj˘ceti´c, and Bram Kraaijeveld
+VU University Amsterdam, Computational Lexicology and Terminology Lab, De
+Boelelaan 1105, 1081HV Amsterdam, The Netherlands
+www.cltl.nl"

+acc5318592303852feba755a1202fb3c683b3b53,Correction of AI systems by linear discriminants: Probabilistic foundations,"Correction of AI systems by linear discriminants: Probabilistic foundations
+A.N. Gorbana,b,∗, A. Golubkovc, B. Grechuka, E.M. Mirkesa,b, I.Y. Tyukina,b
+Department of Mathematics, University of Leicester, Leicester, LE1 7RH, UK
+Lobachevsky University, Nizhni Novgorod, Russia
+Saint-Petersburg State Electrotechnical University, Saint-Petersburg, Russia"

+ac9feef881ed00a5a5e53bddb88f135a9cffe048,A General Method for Appearance-Based People Search Based on Textual Queries,"A general method for appearance-based people
+search based on textual queries
+Riccardo Satta, Giorgio Fumera, and Fabio Roli
+Dept. of Electrical and Electronic Engineering, University of Cagliari
+Piazza d’Armi, 09123 Cagliari, Italy"

+ac8441e30833a8e2a96a57c5e6fede5df81794af,Hierarchical Representation Learning for Kinship Verification,"IEEE TRANSACTIONS ON IMAGE PROCESSING
+Hierarchical Representation Learning for Kinship
+Verification
+Naman Kohli, Student Member, IEEE, Mayank Vatsa, Senior Member, IEEE, Richa Singh, Senior Member, IEEE,
+Afzel Noore, Senior Member, IEEE, and Angshul Majumdar, Senior Member, IEEE"

+acc37d228f6cb2205497df81532c582ed71dd9fe,Deep Ordinal Ranking for Multi-Category Diagnosis of Alzheimer's Disease using Hippocampal MRI data,"Deep Ordinal Ranking for Multi-Category Diagnosis of Alzheimer’s
+Disease using Hippocampal MRI data
+Hongming Li, Mohamad Habes, Yong Fan
+nd for the Alzheimer's Disease Neuroimaging Initiative*
+Section for Biomedical Image Analysis (SBIA), Center for Biomedical Image Computing and
+Analytics (CBICA), Department of Radiology, Perelman School of Medicine, University of
+Pennsylvania, Philadelphia, PA, 19104, USA
+*Data used in preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database
+(adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or
+provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found
+t: http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf"

+acf13c52c86a3b38642ba0c6cbcd1b771778965c,NAACL HLT 2018 Generalization in the Age of Deep Learning Proceedings of the Workshop,"NAACLHLT2018GeneralizationintheAgeofDeepLearningProceedingsoftheWorkshopJune5,2018NewOrleans,Louisiana"

+ac5c93b789bdd557b90ce77221f1c01ead63041f,Robust People Detection using Computer Vision Spring Term 2013,"Autonomous Systems Lab
+Prof. Roland Siegwart
+Master-Thesis
+Robust People Detection
+using Computer Vision
+Spring Term 2013
+Supervised by:
+Jerome Maye
+Paul Beardsley
+Author:
+Endri Dibra"

+ac12ba5bf81de83991210b4cd95b4ad048317681,Combining Deep Facial and Ambient Features for First Impression Estimation,"Combining Deep Facial and Ambient Features
+for First Impression Estimation
+Furkan G¨urpınar1, Heysem Kaya2, Albert Ali Salah3
+Program of Computational Science and Engineering, Bo˘gazi¸ci University,
+Bebek, Istanbul, Turkey
+Department of Computer Engineering, Namık Kemal University,
+C¸ orlu, Tekirda˘g, Turkey
+Department of Computer Engineering, Bo˘gazi¸ci University,
+Bebek, Istanbul, Turkey"

+ac0d88ca5f75a4a80da90365c28fa26f1a26d4c4,MOT16: A Benchmark for Multi-Object Tracking,"MOT16: A Benchmark for Multi-Object Tracking
+Anton Milan∗, Laura Leal-Taix´e∗, Ian Reid, Stefan Roth, and Konrad Schindler"

+acb83d68345fe9a6eb9840c6e1ff0e41fa373229,"Kernel methods in computer vision: object localization, clustering, and taxonomy discovery","Kernel Methods in Computer Vision:
+Object Localization, Clustering,
+nd Taxonomy Discovery
+vorgelegt von
+Matthew Brian Blaschko, M.S.
+us La Jolla
+Von der Fakult¨at IV - Elektrotechnik und Informatik
+der Technischen Universit¨at Berlin
+zur Erlangung des akademischen Grades
+Doktor der Naturwissenschaften
+Dr. rer. nat.
+genehmigte Dissertation
+Promotionsausschuß:
+Vorsitzender: Prof. Dr. O. Hellwich
+Berichter: Prof. Dr. T. Hofmann
+Berichter: Prof. Dr. K.-R. M¨uller
+Berichter: Prof. Dr. B. Sch¨olkopf
+Tag der wissenschaftlichen Aussprache: 23.03.2009
+Berlin 2009"

+ade1034d5daec9e3eba1d39ae3f33ebbe3e8e9a7,Multimodal Caricatural Mirror,"Multimodal Caricatural Mirror
+Martin O.(1), Adell J.(2), Huerta A.(3), Kotsia I.(4), Savran A.(5), Sebbe R.(6)
+(1)  : Université catholique de Louvain, Belgium
+(2)  Universitat Polytecnica de Barcelona, Spain
+(3)  Universidad Polytècnica de Madrid, Spain
+(4)  Aristotle University of Thessaloniki, Greece
+(5)  Bogazici University, Turkey
+(6)  Faculté Polytechnique de Mons, Belgium"

+adf7ccb81b8515a2d05fd3b4c7ce5adf5377d9be,Apprentissage de métrique appliqué à la détection de changement de page Web et aux attributs relatifs,"Apprentissage de métrique appliqué à la
+détection de changement de page Web et
+ux attributs relatifs
+Marc T. Law* — Nicolas Thome* — Stéphane Gançarski* — Mat-
+thieu Cord*
+* Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, Paris,
+France
+RÉSUMÉ. Nous proposons dans cet article un nouveau schéma d’apprentissage de métrique.
+Basé sur l’exploitation de contraintes qui impliquent des quadruplets d’images, notre approche
+vise à modéliser des relations sémantiques de similarités riches ou complexes. Nous étudions
+omment ce schéma peut être utilisé dans des contextes tels que la détection de régions impor-
+tantes dans des pages Web ou la reconnaissance à partir d’attributs relatifs."

+ad3caae50feee550b047e17699cfe7bb9e243cf5,Sparse similarity-preserving hashing,"Sparse similarity-preserving hashing
+Jonathan Masci
+Alex M. Bronstein
+Michael M. Bronstein
+Pablo Sprechmann
+Guillermo Sapiro"

+ad7a7f70e460d4067d7170bcc0f1ea62eedd7234,CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams,"CBinfer: Exploiting Frame-to-Frame Locality for Faster
+Convolutional Network Inference on Video Streams
+Lukas Cavigelli, Luca Benini"

+adb2d1e241933ef363bcf03d865a9219d2911780,Classification of Age from Facial Features of Humans,"International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Index Copernicus Value (2013): 6.14 | Impact Factor (2014): 5.611
+Classification of Age from Facial Features of
+Poonam Shirode1, S. M. Handore2
+, 2Department of E&TC, K.J’s Educational Institute’s TCOER, Pune, Maharashtra, India
+Humans"

+ade18cf978e4b00fb74352a7eba90b4f4509d645,Articulated Multi-body Tracking under Egomotion,"Articulated Multi-body Tracking Under Egomotion
+S. Gammeter1, A. Ess1, T. J¨aggli1, K. Schindler1, B. Leibe1,2, and L. Van Gool1,3
+ETH Z¨urich
+RWTH Aachen
+KU Leuven, IBBT"

+ad30152944a42975f16a53cf0e0666e9937e9d73,Dyadic Interaction Detection from Pose and Flow,"Dyadic interaction detection from pose and flow
+Anonymous ECCV submission
+Paper ID 17"

+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"

+adaff7ff015b4be77e8c0bdb9d002b614d6e2851,A Hybrid Method for Face Recognition using LLS CLAHE Method,"International Journal of Computer Applications (0975 – 8887)
+Volume 152 – No.7, October 2016
+A Hybrid Method for Face Recognition using LLS
+CLAHE Method
+Mohandas College of Engineering and
+A. Thamizharasi
+Assistant Professor,
+Department of Computer
+Science & Engineering,
+Technology,
+Anad, Nedumangad P.O.,
+Trivandrum, Kerala, India"

+adca02d4b34a9851d1c9c0a7c1bb8d5178b59b85,Modeling the dynamics of individual behaviors for group detection in crowds using low-level features,"Modeling the dynamics of individual behaviors for group
+detection in crowds using low-level features
+Omar Adair Islas Ram´ırez
+Giovanna Varni
+Mihai Andries
+Mohamed Chetouani
+Raja Chatila"

+ad01c5761c89fdf523565cc0dec77b9a6ec8e694,Global and Local Consistent Wavelet-domain Age Synthesis,"Global and Local Consistent Wavelet-domain Age
+Synthesis
+Peipei Li†, Yibo Hu†, Ran He Member, IEEE and Zhenan Sun Member, IEEE"

+ada4901e0022b4fdeb9ec3ae26b986199f7ae3be,Human Face Recognition based on Improved PCA Algorithm,"Human Face Recognition based on Improved
+PCA Algorithm
+Xu Yue
+College of art and design, LanZhou JiaoTong University, Lanzhou, China
+Email:
+Linhao Li
+AT&T Labs, 200 South Laurel Ave, #D4-3C05, NJ, USA
+Email:"

+ad9937ff6c5bff4dae72ca90eddc4dd77751b3fa,FusionNet and AugmentedFlowNet: Selective Proxy Ground Truth for Training on Unlabeled Images,"FusionNet and AugmentedFlowNet:
+Selective Proxy Ground Truth
+for Training on Unlabeled Images
+Osama Makansi*, Eddy Ilg*, and Thomas Brox
+University of Freiburg, Germany"

+ad2afeb4c1975c637291bc3f7087d665c3f501c8,WebVision Challenge: Visual Learning and Understanding With Web Data,"WebVision Challenge: Visual Learning and
+Understanding With Web Data
+Wen Li, Limin Wang, Wei Li, Eirikur Agustsson, Jesse Berent, Abhinav Gupta, Rahul Sukthankar,
+nd Luc Van Gool"

+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
+{vdmnhat,"

+adaf2b138094981edd615dbfc4b7787693dbc396,Statistical methods for facial shape-from-shading and recognition,"Statistical Methods For Facial
+Shape-from-shading and Recognition
+William A. P. Smith
+Submitted for the degree of Doctor of Philosophy
+Department of Computer Science
+0th February 2007"

+adf1b20cffb0ab12d20f878d07373efc4c1bc6c4,Image Retagging Using Collaborative Tag Propagation,"Image Retagging Using Collaborative
+Tag Propagation
+Dong Liu, Shuicheng Yan, Senior Member, IEEE, Xian-Sheng Hua, Member, IEEE, and
+Hong-Jiang Zhang, Fellow, IEEE"

+ad88fcfd12b62d607259db8d98e2a1a0a9642ca0,Real-time tracking-with-detection for coping with viewpoint change,"Real-Time Tracking-with-Detection for Coping With Viewpoint Change
+Shaul Oron · Aharon Bar-Hillel · Shai Avidan
+Received: 11 May 2014 / Revised: 02 Nov 2014 / Accepted: 09 Mar 2015"

+ad75879082132a73fe173a890a0f414f2c279739,A comparison of CNN-based face and head detectors for real-time video surveillance applications,"A Comparison of CNN-based Face and Head Detectors for
+Real-Time Video Surveillance Applications
+Le Thanh Nguyen-Meidine1, Eric Granger 1, Madhu Kiran1 and Louis-Antoine Blais-Morin2
+´Ecole de technologie sup´erieure, Universit´e du Qu´ebec, Montreal, Canada
+Genetec Inc., Montreal, Canada"

+adefabe194863b4f764ec982e3120554165c841c,Radius based Block Local Binary Pattern on T-Zone Face Area for Face Recognition,"Journal of Computer Science 11 (1): 96-108, 2015
+ISSN: 1549-3636
+© 2015 Science Publications
+RADIUS BASED BLOCK LOCAL BINARY PATTERN ON T-
+ZONE FACE AREA FOR FACE RECOGNITION
+Md. Jan Nordin, 2Abdul Aziz K. Abdul Hamid,
+Sumazly Ulaiman and 2R.U. Gobithaasan
+Center for Artificial Intelligent Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
+School of Informatics and App. Maths, Universiti Malaysia Terengganu, Terengganu, Malaysia
+Received 2014-02-20; Revised 2014-04-29; Accepted 2014-08-04"

+adf62dfa00748381ac21634ae97710bb80fc2922,ViFaI : A trained video face indexing scheme Harsh,"ViFaI: A trained video face indexing scheme
+Harsh Nayyar
+Audrey Wei
+. Introduction
+With the increasing prominence of inexpensive
+video recording devices (e.g., digital camcorders and
+video recording smartphones),
+the average user’s
+video collection today is increasing rapidly. With this
+development, there arises a natural desire to rapidly
+ccess a subset of one’s collection of videos. The solu-
+tion to this problem requires an effective video index-
+ing scheme. In particular, we must be able to easily
+process a video to extract such indexes.
+Today, there also exist large sets of labeled (tagged)
+face images. One important example is an individual’s
+Facebook profile. Such a set of of tagged images of
+one’s self, family, friends, and colleagues represents
+n extremely valuable potential training set.
+In this work, we explore how to leverage the afore-"

+add85ee833e2a1c5cdbcd206d5423d63f20cda24,International Journal of Advanced Robotic Systems Embedded Face Detection and Recognition Regular Paper,"International Journal of Advanced Robotic Systems
+Embedded Face Detection
+nd Recognition
+Regular Paper
+Göksel Günlü
+Department of Electrical and Electronics Engineering Turgut Özal University, Ankara, Turkey
+* Corresponding author E-mail:
+Received 07 May 2012; Accepted 28 Jun 2012
+DOI: 10.5772/51132
+© 2012 Günlü; licensee InTech. This is an open access article distributed under the terms of the Creative
+Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use,
+distribution, and reproduction in any medium, provided the original work is properly cited."

+bb2944569a2b3d3b8340b36d4903c8cddf20047f,Improving Regression Performance with Distributional Losses,"Improving Regression Performance with Distributional Losses
+Ehsan Imani 1 Martha White 1"

+bb06c12e83255b2c3afca1e3e115e721c53b46b3,Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features,"Beyond Local Appearance: Category Recognition from Pairwise Interactions of
+Simple Features
+Marius Leordeanu1
+Martial Hebert1
+Rahul Sukthankar2,1
+Carnegie Mellon University 2Intel Research Pittsburgh"

+bb7c5a521607a02e7a291dca7fc33b595c3b7bff,Texture Classification using Local Binary Patterns and Modular PCA,"ISSN: 2278 – 1323
+International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
+Volume 5, Issue 5, May 2016
+Texture Classification using Local Binary
+Patterns and Modular PCA
+Sayanshree Ghosh, Srimanta Kundu and Sayantari Ghosh
+www.ijarcet.org"

+bb35ef89addbbc28d960bc0cab70d8a29fdf6eee,A Survey on Multi-Task Learning,"A Survey on Multi-Task Learning
+Yu Zhang and Qiang Yang"

+bb489e4de6f9b835d70ab46217f11e32887931a2,Everything You Wanted to Know about Deep Learning for Computer Vision but Were Afraid to Ask,"Everything you wanted to know about Deep Learning for Computer Vision but were
+fraid to ask
+Moacir A. Ponti, Leonardo S. F. Ribeiro, Tiago S. Nazare
+ICMC – University of S˜ao Paulo
+S˜ao Carlos/SP, 13566-590, Brazil
+Tu Bui, John Collomosse
+CVSSP – University of Surrey
+Guildford, GU2 7XH, UK
+Email: [ponti, leonardo.sampaio.ribeiro,
+Email: [t.bui,
+tools,"

+bb97664df153ac563e46ec2233346129cafe601b,A study on the use of Boundary Equilibrium GAN for Approximate Frontalization of Unconstrained Faces to aid in Surveillance,"A study on the use of Boundary Equilibrium GAN for Approximate
+Frontalization of Unconstrained Faces to aid in Surveillance
+Wazeer Zulfikar, Sebastin Santy, Sahith Dambekodi and Tirtharaj Dash
+BITS Pilani - KK Birla Goa Campus, Goa, India
+{f20150003, f20150357, f20150192,"

+bba281fe9c309afe4e5cc7d61d7cff1413b29558,An unpleasant emotional state reduces working memory capacity: electrophysiological evidence,"Social Cognitive and Affective Neuroscience, 2017, 984–992
+doi: 10.1093/scan/nsx030
+Advance Access Publication Date: 11 April 2017
+Original article
+An unpleasant emotional state reduces working
+memory capacity: electrophysiological evidence
+Jessica S. B. Figueira,1 Leticia Oliveira,1 Mirtes G. Pereira,1 Luiza B. Pacheco,1
+Isabela Lobo,1,2 Gabriel C. Motta-Ribeiro,3 and Isabel A. David1
+Laboratorio de Neurofisiologia do Comportamento, Departamento de Fisiologia e Farmacologia, Instituto
+Biome´dico, Universidade Federal Fluminense, Niteroi, Brazil, 2MograbiLab, Departamento de Psicologia,
+Pontifıcia Universidade Catolica do Rio de Janeiro, Rio de Janeiro, Brazil, and 3Laboratorio de Engenharia
+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:"

+bb79bb04e569f9319fbc9d8e1f275bbb2cf8d32e,NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning,"NMT-Keras: a Very Flexible Toolkit with a Focus
+on Interactive NMT and Online Learning
+Álvaro Peris, Francisco Casacuberta
+Pattern Recognition and Human Language Technology Research Center, Universitat Politècnica de València, Spain"

+bbc76f0e50ab96e7318816e24c65fd3459d0497c,Survey of Pedestrian Detection for Advanced Driver Assistance Systems,"JULY 2010
+Survey of Pedestrian Detection for
+Advanced Driver Assistance Systems
+David Gero´ nimo, Antonio M. Lo´ pez, Angel D. Sappa, Member, IEEE, and Thorsten Graf"

+bb131650627cf2d1da570589f6c540041df1ae92,Improving the Intra Class Distance using RBSQI Technique for Facial Images with Illumination Variations,"Volume 2 Special Issue                                                                                                                     ISSN 2079-8407
+Journal of Emerging Trends in Computing and Information Sciences
+©2010-11 CIS Journal. All rights reserved.
+http://www.cisjournal.org
+Improving the Intra Class Distance using RBSQI Technique for Facial
+Images with Illumination Variations
+K. R. Singh1, M. A. Zaveri2, M.M. Raghuwanshi3
+,2Computer Engineering Department, S.V.National Institute of Technology, Surat, 329507, India.
+NYSS College of Engineering and Research, Nagpur, 441 110, India."

+bb1f4c8e4f310047e50b7dc41d87292025d42eb7,Intersubject Differences in False Nonmatch Rates for a Fingerprint-Based Authentication System,"Hindawi Publishing Corporation
+EURASIP Journal on Advances in Signal Processing
+Volume 2009, Article ID 896383, 9 pages
+doi:10.1155/2009/896383
+Research Article
+Intersubject Differences in False Nonmatch Rates for
+Fingerprint-Based Authentication System
+Jeroen Breebaart, Ton Akkermans, and Emile Kelkboom
+Philips Research, HTC 34 MS61, 5656 AE Eindhoven, The Netherlands
+Correspondence should be addressed to Jeroen Breebaart,
+Received 4 September 2008; Accepted 7 July 2009
+Recommended by Jonathon Phillips
+The intersubject dependencies of false nonmatch rates were investigated for a minutiae-based biometric authentication process
+using single enrollment and verification measurements. A large number of genuine comparison scores were subjected to statistical
+inference tests that indicated that the number of false nonmatches depends on the subject and finger under test. This result was also
+observed if subjects associated with failures to enroll were excluded from the test set. The majority of the population (about 90%)
+showed a false nonmatch rate that was considerably smaller than the average false nonmatch rate of the complete population.
+The remaining 10% could be characterized as “goats” due to their relatively high probability for a false nonmatch. The image
+quality reported by the template extraction module only weakly correlated with the genuine comparison scores. When multiple
+verification attempts were investigated, only a limited benefit was observed for “goats,” since the conditional probability for a false"

+bba22e04fbe124bf58330e5d911d873a80afa0eb,Probabilistic Global Scale Estimation for MonoSLAM Based on Generic Object Detection,"Probabilistic Global Scale Estimation for MonoSLAM
+Based on Generic Object Detection
+Centro de Investigaci´on en Matem´aticas - Universidad de Guanajuato
+Jalisco S/N, Col. Valenciana CP: 36023 Guanajuato, Gto, Mxico
+Edgar Sucar, Jean-Bernard Hayet"

+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=
+,AFJ B +FKJAH 5?EA?A 1BH=JE -CEAAHEC =JE= 6=EM= 7ELAHIEJO
+IJEJKJA B AJMHEC =JE= 6=EM= 7ELAHIEJO
+{wychang,
+)>IJH=?J .A=JKHA HAFHAIAJ=JE ?=IIE?=JE =HA JM =H EIIKAI E B=?E=
+ANFHAIIE ==OIEI 1 JDA F=IJ IJ AEJDAH DEIJE? H ?= HAFHA
+IAJ=JE BH ==OIEI 1 AIIA?A ?= EBH=JE =EO B?KIAI  JDA IK>JA
+L=HE=JEI B ANFHAIIEI DEIJE? HAFHAIAJ=JE IJHAIIAI  C>=
+JEAI 6 J=A JDA B >JD = HAFHAIAJ=JE EI E JDEI
+F=FAH A=HEC EI J ?D=H=?JAHEA C>= ?= EBH=
+JE 7EA IA KIEC A=H
+EC =FFH=?DAI B JDA HAFHAIAJ=JE =HA >O
+= A=HEC JA?DEGKA 6 EJACH=JA JDAIA
+ABBA?JELAO = BKIE ?=IIEAH EI MDE?D ?= DAF J AFO IKEJ=>A
+?>E=JE MAECDJI B B=?E= ?FAJI J = ANFHAIIE +FHADA
+IELA ?F=HEII  B=?E= ANFHAIIE HA?CEJE =HA J JDA
+ABBA?JELAAII B KH =CHEJD
+A=EEC DK= AJEI F=OI = EFHJ=J HA E DK= ?KE?=JE 6"

+bbab2c3d0ebc0957c5e962298ffd8c6d4bc25c5a,Have we met before? Neural correlates of emotional learning in women with social phobia.,"Research Paper
+Have we met before? Neural correlates of emotional
+learning in women with social phobia
+Inga Laeger, MA; Kati Keuper, MA; Carina Heitmann, MA; Harald Kugel, PhD;
+Christian Dobel, PhD; Annuschka Eden, MA; Volker Arolt, MD; Pienie Zwitserlood, PhD;
+Udo Dannlowski, MD, PhD*; Peter Zwanzger, MD*
+Laeger,  Heitmann,  Arolt,  Dannlowski,  Zwanzger  —  Department  of  Psychiatry,  University  of  Muenster,  Germany;  Keuper,
+Dobel, Eden — Institute for Biomagnetism and Biosignalanalysis, University of Muenster, Germany; Kugel — Department of
+Clinical  Radiology,  University  of  Muenster,  Germany;  Zwitserlood  —  Institute  for  Psychology,  University  of  Muenster,  Ger-
+many; Dannlowski — Department of Psychiatry, University of Marburg, Germany
+Background: Altered memory processes are thought to be a key mechanism in the etiology of anxiety disorders, but little is known about
+the neural correlates of fear learning and memory biases in patients with social phobia. The present study therefore examined whether pa-
+tients with social phobia exhibit different patterns of neural activation when confronted with recently acquired emotional stimuli. Methods:
+Patients with social phobia and a group of healthy controls learned to associate pseudonames with pictures of persons displaying either a
+fearful or a neutral expression. The next day, participants read the pseudonames in the magnetic resonance imaging scanner. Afterwards,
+memory tests were carried out.  Results: We enrolled 21 patients and 21 controls in our study. There were no group differences for
+learning performance, and results of the memory tests were mixed. On a neural level, patients showed weaker amygdala activation than
+ontrols for the contrast of names previously associated with fearful versus neutral faces. Social phobia severity was negatively related to
+mygdala  activation.  Moreover,  a  detailed  psychophysiological  interaction  analysis  revealed  an  inverse  correlation  between  disorder
+severity and frontolimbic connectivity for the emotional > neutral pseudonames contrast. Limitations: Our sample included only women."

+bbf534b8ee9455b8e492a252bef26f9293d4f91a,Effects of cannabis use and subclinical depression on the P3 event-related potential in an emotion processing task,"Observational Study
+Medicine®
+Effects of cannabis use and subclinical
+depression on the P3 event-related potential
+in an emotion processing task
+Lucy J. Troup, PhD
+, Robert D. Torrence, MS, Jeremy A. Andrzejewski, BSc, Jacob T. Braunwalder, BSc"

+bb7f2c5d84797742f1d819ea34d1f4b4f8d7c197,From Images to 3D Shape Attributes.,"TO APPEAR IN TPAMI
+From Images to 3D Shape Attributes
+David F. Fouhey, Abhinav Gupta, Andrew Zisserman"

+bb893fac40eb901229567abb507a8cb82553d198,Will the Pedestrian Cross? Probabilistic Path Prediction Based on Learned Motion Features,"Will the Pedestrian Cross?
+Probabilistic Path Prediction Based on Learned Motion Features
+Christoph G. Keller1, Christoph Hermes2, and Dariu M. Gavrila3,4
+Image & Pattern Analysis Group, Univ. of Heidelberg, Germany
+Applied Informatics Group, Univ. of Bielefeld, Germany
+Environment Perception, Group Research, Daimler AG, Ulm, Germany
+Intelligent Systems Lab, Fac. of Science, Univ. of Amsterdam, The Netherlands"

+bb7c093c41fcec269b6a7a950902cc95429bb289,Robust video object tracking via Bayesian model averaging based feature fusion,"Robust video object tracking via Bayesian model
+veraging based feature fusion
+Yi Dai, Bin Liu, Member, IEEE"

+bbf5575f0d20b79b61c8c0d8b7c2a57224c359de,Emotion Recognition from Decision Level Fusion of Visual and Acoustic Features using Hausdorff Classifier,"Emotion Recognition from Decision Level Fusion
+of Visual and Acoustic Features using Hausdorff
+Classifier
+H.D.Vankayallapati1, K.R.Anne2, and K. Kyamakya1
+Institute of Smart System Technologies, Transportation Informatics Group
+University of Klagenfurt, Klagenfurt, Austria.
+Department of Information Technology, TIFAC-CORE in Telematics
+VR Siddhartha Engineering College, Vijayawada, India."

+bb667cbbf050040fa39cd9e756cd5bf485fccf32,Effective Deterministic Initialization for $k$-Means-Like Methods via Local Density Peaks Searching,"Effective Deterministic Initialization for
+k-Means-Like Methods via Local Density Peaks
+Searching
+Fengfu Li, Hong Qiao, and Bo Zhang"

+bb021f58f8822d12f5747d583a46005ade4a0b10,Breaking Microsoft’s CAPTCHA,"Breaking Microsoft’s CAPTCHA
+Colin Hong Bokil Lopez-Pineda Karthik Rajendran Adri`a Recasens
+May 2015"

+bb6ac4e26499dea5bdedb05b269f40f56247b4c6,An Action Unit based Hierarchical Random Forest Model to Facial Expression Recognition,

+bbc4bbf7aa80a8108d62644fea24e6f70a805df9,Inducing Wavelets into Random Fields via Generative Boosting,"Inducing Wavelets into Random Fields via Generative
+Boosting
+Jianwen Xie, Yang Lu, Song-Chun Zhu, and Ying Nian Wu∗
+Department of Statistics, University of California, Los Angeles, USA"

+bb980dd94463b03c6584513bcccf780e43f089b2,Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities,"Prediction Error Meta Classification in Semantic
+Segmentation: Detection via Aggregated Dispersion
+Measures of Softmax Probabilities
+Matthias Rottmann∗, Pascal Colling∗, Thomas Paul Hack†,
+Fabian H¨uger‡, Peter Schlicht‡ and Hanno Gottschalk∗"

+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"

+d745cf8c51032996b5fee6b19e1b5321c14797eb,Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features,"Viewpoint Invariant Pedestrian Recognition
+with an Ensemble of Localized Features
+Douglas Gray and Hai Tao
+University of California, Santa Cruz
+{dgray,
+http://vision.soe.ucsc.edu/"

+d79121a03584123fad02c4f2607f0e63d08ff7c2,Tracking Occluded Objects and Recovering Incomplete Trajectories by Reasoning About Containment Relations and Human Actions,"Tracking Occluded Objects and Recovering Incomplete Trajectories
+y Reasoning about Containment Relations and Human Actions
+Wei Liang1,2
+Yixin Zhu2
+Song-Chun Zhu2
+Beijing Laboratory of Intelligent Information Technology, Beijing Institute of Technology, China
+Center for Vision, Cognition, Learning, and Autonomy, University of California, Los Angeles, USA"

+d7ed878c08c90186e3bf607c20ff943834ad0d68,Semantic Data Integration,"Semantic Data Integration
+Michelle Cheatham and Catia Pesquita"

+d78dde04ac4215ed0ed6f2bd5d85094b389d7f5e,A Warping Window Approach to Real-time Vision-based Pedestrian Detection in a Truck's Blind Spot Zone,"A warping window approach to real-time vision-based pedestrian
+detection in a truck’s blind spot zone
+Kristof Van Beeck1, Toon Goedem´e1;2 and Tinne Tuytelaars2
+IIW/EAVISE, Lessius Mechelen - Campus De Nayer, J. De Nayerlaan 5, 2860, Sint-Katelijne-Waver, Belgium
+ESAT/PSI-VISICS, KU Leuven, IBBT, Kasteelpark Arenberg 10, 3100, Heverlee, Belgium
+fkristof.vanbeeck,
+Keywords:
+Computer vision: Pedestrian tracking: Real-time: Active safety systems"

+d74c6e6fbd8952cbad96013e227374c903797162,With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning,"With Great Training Comes Great Vulnerability:
+Practical Attacks against Transfer Learning
+Bolun Wang
+Yuanshun Yao
+Bimal Viswanath
+Haitao Zheng
+UC Santa Barbara
+University of Chicago
+Virginia Tech
+University of Chicago
+Ben Y. Zhao
+University of Chicago"

+d7c6e4348542fd2b5e64a73d9c1fd0172e2b1774,Grounding language acquisition by training semantic parsers using captioned videos,"Grounding language acquisition by training semantic parsers
+using captioned videos
+Candace Ross
+CSAIL, MIT
+Andrei Barbu
+CSAIL, MIT
+Yevgeni Berzak
+BCS, MIT
+Battushig Myanganbayar
+CSAIL, MIT"

+d7f7eb0fbe3339d13f5a6a23df0fd27fdb357d48,Intention-Aware Multi-Human Tracking for Human-Robot Interaction via Particle Filtering over Sets,"Intention-Aware Multi-Human Tracking for
+Human-Robot Interaction via Particle Filtering over Sets
+Aijun Bai
+Univ. of Sci. & Tech. of China
+Reid Simmons
+Carnegie Mellon Univ.
+Manuela Veloso
+Carnegie Mellon Univ.
+The Approach
+The ability for an autonomous robot to track and identify
+multiple humans and understand their intentions is crucial
+for socialized human-robot interactions in dynamic envi-
+ronments (Michalowski and Simmons 2006). Take CoBot
+(Rosenthal, Biswas, and Veloso 2010) trying to enter an ele-
+vator as an example. When the elevator door opens, suppose
+there are multiple humans occupied, CoBot needs to track
+each human’s state and intention in terms of whether he/she
+is going to exit the elevator or not. For the purposes of safely
+nd friendly interacting with humans, CoBot can only make
+the decision to enter the elevator when any human who in-"

+d7731565ec4cb1b910290ccb580405cb55224286,Robust Face Recognition via Adaptive Sparse Representation,"Robust Face Recognition via Adaptive Sparse
+Representation
+Jing Wang, Canyi Lu, Meng Wang, Member, IEEE, Peipei Li,
+Shuicheng Yan, Senior Member, IEEE, Xuegang Hu"

+d7eae9f76dcfa978b99eef430feb9420eac702eb,A Multi-Layer K-means Approach for Multi-Sensor Data Pattern Recognition in Multi-Target Localization,"A Multi-Layer K-means Approach for Multi-Sensor Data Pattern
+Recognition in Multi-Target Localization
+Samuel Silva, Rengan Suresh, Feng Tao, Johnathan Votion, Yongcan Cao"

+d7fe2a52d0ad915b78330340a8111e0b5a66513a,Photo-to-Caricature Translation on Faces in the Wild,"Unpaired Photo-to-Caricature Translation on Faces in
+the Wild
+Ziqiang Zhenga, Chao Wanga, Zhibin Yua, Nan Wanga, Haiyong Zhenga,∗,
+Bing Zhenga
+No. 238 Songling Road, Department of Electronic Engineering, Ocean University of
+China, Qingdao, China"

+d7f19812ee77e508b314d0ac6ab49d05ac81e0d1,Active Visual-Based Detection and Tracking of Moving Objects from Clustering and Classification Methods,"Active Visual-based Detection and Tracking of Moving
+Objects from Clustering and Classification methods
+David Márquez-Gámez Michel Devy
+CNRS; LAAS; Université de Toulouse
+7 avenue du Colonel Roche, F-31077 Toulouse Cedex, France"

+d7c659ce0442bf1047e7d2e942837b18105f6f47,Depth-Adaptive Deep Neural Network for Semantic Segmentation,"Depth Adaptive Deep Neural Network
+for Semantic Segmentation
+Byeongkeun Kang, Yeejin Lee, and Truong Q. Nguyen, Fellow, IEEE"

+d76f68c2d0a45ab224065d57836bf3da360c82f2,Learning to Segment Human by Watching YouTube,"Learning to Segment Human by Watching
+YouTube
+Xiaodan Liang, Yunchao Wei, Liang Lin, Yunpeng Chen, Xiaohui Shen, Jianchao Yang,
+Shuicheng Yan"

+d7a0f9ab321e728b981e12775b4906f55d3aab15,3D Object Reconstruction using Computer Vision: Reconstruction and Characterization Applications for External Human Anatomical Structures,"D Object Reconstruction using
+Computer Vision: Reconstruction
+nd Characterization Applications for
+External Human Anatomical Structures
+Teresa Cristina de Sousa Azevedo
+BSc in Electrical and Computer Engineering by
+Faculdade de Engenharia da Universidade do Porto (2002)
+MSc in Biomedical Engineering by
+Faculdade de Engenharia da Universidade do Porto (2007)
+Thesis submitted for the fulfilment of the requirements for the
+PhD degree in Informatics Engineering by
+Faculdade de Engenharia da Universidade do Porto
+Supervisor:
+João Manuel R. S. Tavares
+Associate Professor of the Department of Mechanical Engineering
+Faculdade de Engenharia da Universidade do Porto
+Co-supervisor:
+Mário A. P. Vaz
+Associate Professor of the Department of Mechanical Engineering
+Faculdade de Engenharia da Universidade do Porto"

+d708ce7103a992634b1b4e87612815f03ba3ab24,FCVID: Fudan-Columbia Video Dataset,"FCVID: Fudan-Columbia Video Dataset
+Yu-Gang Jiang, Zuxuan Wu, Jun Wang, Xiangyang Xue, Shih-Fu Chang
+Available at: http://bigvid.fudan.edu.cn/FCVID/
+OVERVIEW
+Recognizing visual contents in unconstrained videos
+has become a very important problem for many ap-
+plications, such as Web video search and recommen-
+dation, smart content-aware advertising, robotics, etc.
+Existing datasets for video content recognition are
+either small or do not have reliable manual labels.
+In this work, we construct and release a new Inter-
+net video dataset called Fudan-Columbia Video Dataset
+(FCVID), containing 91,223 Web videos (total duration
+,232 hours) annotated manually according to 239
+ategories. We believe that the release of FCVID can
+stimulate innovative research on this challenging and
+important problem.
+COLLECTION AND ANNOTATION
+The categories in FCVID cover a wide range of topics
+like social events (e.g., “tailgate party”), procedural"

+d7da0f595d135474cc2193d382b22458b313cdbf,Multi-View Constraint Propagation with Consensus Prior Knowledge,Multi-View Constraint Propagation with Consensus Prior Knowledge

+d78b190f98f9630cab261eabc399733af052f05c,Unsupervised Deep Domain Adaptation for Pedestrian Detection,

+d73221adda13a99e8dd8dab101abcfeae6b7b706,The ApolloScape Dataset for Autonomous Driving,"The ApolloScape Dataset for Autonomous Driving
+Xinyu Huang, Xinjing Cheng, Qichuan Geng, Binbin Cao,
+Dingfu Zhou, Peng Wang, Yuanqing Lin, and Ruigang Yang
+Baidu Research, Beijing, China
+National Engineering Laboratory of Deep Learning Technology and Application, China"

+d7612e01c10f351a3e2ff1a57465c3d17ddbb193,Rain Streaks Removal in an Image by using Image Decomposition,"International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Index Copernicus Value (2013): 6.14 | Impact Factor (2015): 6.391
+Rain Streaks Removal in an Image by using Image
+Decomposition
+Priyanka A. Chougule1, J. A. Shaikh2
+Research Student, Electronics Dept., PVPIT, Budhgaon
+Associate Professor, Electronics Dept. PVPIT, Budhgaon"

+d7b6bbb94ac20f5e75893f140ef7e207db7cd483,griffith . edu . au Face Recognition across Pose : A Review,"Griffith Research Online
+https://research-repository.griffith.edu.au
+Face Recognition across Pose: A
+Review
+Author
+Zhang, Paul, Gao, Yongsheng
+Published
+Journal Title
+Pattern Recognition
+https://doi.org/10.1016/j.patcog.2009.04.017
+Copyright Statement
+Copyright 2009 Elsevier. This is the author-manuscript version of this paper. Reproduced in accordance
+with the copyright policy of the publisher. Please refer to the journal's website for access to the
+definitive, published version.
+Downloaded from
+http://hdl.handle.net/10072/30193"

+d7144bc7d91841963b037f210f9356d28f76e70e,A comparison of features for regression-based driver head pose estimation under varying illumination conditions,"A COMPARISON OF FEATURES FOR REGRESSION-BASED DRIVER HEAD POSE
+ESTIMATION UNDER VARYING ILLUMINATION CONDITIONS
+Dimitri J. Walger1, Toby P. Breckon2, Anna Gaszczak3, Thomas Popham3
+Cranfield University, Bedfordshire, UK 2Durham University, Durham, UK
+Jaguar Land Rover, Warwickshire, UK"

+d7d6200e41d574e2f3ddd9ded299613683519c7c,Accurate Iris Recognition at a Distance Using Stabilized Iris Encoding and Zernike Moments Phase Features,"IEEE Trans. Image Processing, 2014
+Accurate Iris Recognition at a Distance Using
+Stabilized Iris Encoding and Zernike Moments Phase Features
+Chun-Wei Tan, Ajay Kumar"

+d75d074c11a62780b836376249391da39660cad6,Task Scheduling Frameworks for Heterogeneous Computing Toward Exascale,"(IJACSA) International Journal of Advanced Computer Science and Applications,
+Vol. 9, No. 10, 2018
+Task Scheduling Frameworks for Heterogeneous
+Computing Toward Exascale
+Suhelah Sandokji1, Fathy Eassa2
+Faculty of Computing and Information Technology, KAU
+Jeddah ,Saudi Arabia
+studies  consider  partitioning"

+d7e8672caecc7e4b17e8d9d3cbd673d402c7e7af,Robust Stereo-Based Person Detection and Tracking for a Person Following Robot,"Robust Stereo-Based Person Detection and Tracking
+for a Person Following Robot
+Junji Satake and Jun Miura
+Department of Information and Computer Sciences
+Toyohashi University of Technology"

+d7d9fa9a5a57f9f3da7ab2c87ca58127665774cc,Improving Shadow Suppression for Illumination Robust Face Recognition,"Improving Shadow Suppression for Illumination
+Robust Face Recognition
+Wuming Zhang, Xi Zhao, Jean-Marie Morvan and Liming Chen, Senior Member, IEEE"

+d7d166aee5369b79ea2d71a6edd73b7599597aaa,Fast Subspace Clustering Based on the Kronecker Product,"Fast Subspace Clustering Based on the
+Kronecker Product
+Lei Zhou1, Xiao Bai1, Xianglong Liu1, Jun Zhou2, and Hancock Edwin3
+Beihang University 2Grif‌f‌ith University 3University of York, UK"

+d7e8c6da1a95f41d8097b7b713890ccde13ef1d8,Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms,"Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms
+{tag}                                                 {/tag}
+International Journal of Computer Applications
+Foundation of Computer Science (FCS), NY, USA
+Volume 134
+Number 7
+Year of Publication: 2016
+Authors:
+Filani Araoluwa S., Adetunmbi Adebayo O.
+10.5120/ijca2016907932
+{bibtex}2016907932.bib{/bibtex}"

+d79f9ada35e4410cd255db39d7cc557017f8111a,Evaluation of accurate eye corner detection methods for gaze estimation,"Journal of Eye Movement Research
+7(3):3, 1-8
+Evaluation of accurate eye corner detection methods for gaze
+estimation
+Jose Javier Bengoechea
+Public University of Navarra, Spain
+Juan J. Cerrolaza
+Childrens National Medical Center, USA
+Arantxa Villanueva
+Public University of Navarra, Spain
+Rafael Cabeza
+Public University of Navarra, Spain
+Accurate detection of iris center and eye corners appears to be a promising
+pproach for low cost gaze estimation.
+In this paper we propose novel eye
+inner corner detection methods. Appearance and feature based segmentation
+pproaches are suggested. All these methods are exhaustively tested on a realistic
+dataset containing images of subjects gazing at different points on a screen.
+We have demonstrated that a method based on a neural network presents the
+est performance even in light changing scenarios."

+d7f3836f2d28adf15fc809bd4f90afb1f61ba8e0,Segment-before-Detect: Vehicle Detection and Classification through Semantic Segmentation of Aerial Images,"Article
+Segment-before-Detect: Vehicle Detection and
+Classification through Semantic Segmentation of
+Aerial Images
+Nicolas Audebert 1,2,*, Bertrand Le Saux 1 and Sébastien Lefèvre 2
+ONERA, The French Aerospace Lab, F-91761 Palaiseau, France;
+Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), University Bretagne Sud, UMR 6074,
+F-56000 Vannes, France;
+* Correspondence:
+Academic Editors: Norman Kerle, Markus Gerke and Prasad S. Thenkabail
+Received: 28 December 2016; Accepted: 7 April 2017; Published: 13 April 2017"

+d03265ea9200a993af857b473c6bf12a095ca178,Multiple deep convolutional neural networks averaging for face alignment,"Multiple deep convolutional neural
+networks averaging for face
+lignment
+Shaohua Zhang
+Hua Yang
+Zhouping Yin
+Downloaded From: http://electronicimaging.spiedigitallibrary.org/ on 05/28/2015 Terms of Use: http://spiedl.org/terms"

+d0462aa7754ffdf39962e2003344937258a0e42e,You Can’t Gamble on Others: Dissociable Systems for Strategic Uncertainty and Risk in the Brain,"You Can’t Gamble on Others: Dissociable Systems for
+Strategic Uncertainty and Risk in the Brain
+W. Gavin Ekins1, Ricardo Caceda, C. Monica Capra1, and Gregory S. Berns1*
+1Center for Neuropolicy and Economics Department, Emory University, Atlanta, GA 30322 USA
+*Correspondance:"

+d096bdd5743cbb33f0cd0ae984d188b2c302f054,Extractive and Abstractive Caption Generation Model for News Images,"ISSN:2321-1156
+International Journal of Innovative Research in Technology & Science(IJIRTS)"

+d00f6ec074bbe777ba2e419b39729283a28101c5,Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network,Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)

+d0d186779ae4a4e53101a26dc741254e822e07ab,Multi Camera for Surveillance System Ground Detection and 3D Reconstruction,"Multi Camera for Surveillance System Ground Detection and
+International Journal of Smart Home
+Vol. 9, No. 1 (2015), pp. 103-110
+http://dx.doi.org/10.14257/ijsh.2015.9.1.11
+D Reconstruction
+Xu Yongzhe1 and Byungsoo Lee1
+Department of Computer Engineering, University of Incheon, Korea"

+d0ad7324fab174609f26c617869fa328960617e2,Person Identification From Text Independent Lip Movement Using the Longest Matching Segment Method,"Person Identification From Text Independent Lip Movement
+Using the Longest Matching Segment Method
+Paul C. Brown, Ji Ming, Daryl Stewart
+Institute of ECIT, Electronics and Computer Engineering Cluster, Queen(cid:48)s University Belfast,
+Belfast BT7 1NN, UK"

+d0a6a700779ac8cb70d7bb95f9a5afdda60152d9,Pyramid Mean Representation of Image Sequences for Fast Face Retrieval in Unconstrained Video Data,"Pyramid Mean Representation of Image Sequences for
+Fast Face Retrieval in Unconstrained Video Data
+Christian Herrmann1,2 and J¨urgen Beyerer1,2
+Vision and Fusion Lab, Karlsruhe Institute of Technology KIT, Karlsruhe, Germany
+Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB,
+Karlsruhe, Germany"

+d04631e40b237ae29cb8d2bd187b04033580e63b,Multi-cue Based Multi-target Tracking with Boosted MHT,"Multi-cue Based Multi-target Tracking
+with Boosted MHT
+Long Ying1,2, Tianzhu Zhang1,2, Shengsheng Qian1,2, and Changsheng Xu1,2
+Institute of Automation, Chinese Academy of Science, Beijing, China
+China-Singapore Institute of Digital Media, Singapore"

+d07e9b04c1480d65e37e44bec3be95fc3206c17b,Combining classifiers for face recognition,- 130-7803-7965-9/03/$17.00 ©2003 IEEEICME 2003(cid:224)

+d0f709ab39e280467d854064132570c1d5316de5,Multi-Object Tracking and Identification over Sets,"Multi-Object Tracking and Identification over Sets
+Aijun Bai
+UC Berkeley"

+d04d53038d4267cf25badc5d6acccd2fc910a8a7,Online Multi-Object Tracking with Structural Invariance Constraint,"ZHOU, JIANG, WEI, DONG, WANG: ONLINE MULTI-OBJECT TRACKING WITH SIC
+Online Multi-Object Tracking
+with Structural Invariance Constraint
+Xiao Zhou
+Peilin Jiang
+Zhao Wei
+Hang Dong
+Fei Wang
+National Engineering
+Laboratory for Visual Information
+Processing and Application,
+XJTU, 99 Yanxiang Road,
+Xi’an, Shaanxi 710054, China
+School of Software Engineering,
+XJTU, 28 West Xianning Road,
+Xi’an, Shaanxi 710049, China"

+d0de92865a53576af3dd118f4d1fa73be12aee9b,PCANet-II: When PCANet Meets the Second Order Pooling,"PCANet-II:WhenPCANetMeetstheSecondOrderPoolingLeiTian,XiaopengHong"

+d014011b24c62d5b689c782c09b89c52970f46e7,"SRDA: Generating Instance Segmentation Annotation via Scanning, Reasoning and Domain Adaptation","SRDA: Generating Instance Segmentation
+Annotation Via Scanning, Reasoning And
+Domain Adaptation
+Wenqiang Xu(cid:63), Yonglu Li(cid:63), Cewu Lu
+Department of Computer Science and Engineering,
+Shanghai Jiaotong University
+{vinjohn,yonglu"

+d05825a394f11a391c8815f6b0d394cdb4cfaa95,I2T2I: Learning text to image synthesis with textual data augmentation,

+d0e1ad4f3f608124cd3efc2d5bd01b421ffc3274,Running head: SUPPRESSING BEHAVIOUR DOES NOT INFLUENCE WORKING MEMORY CAPACITY DEPARTMENT OF PSYCHOLOGY Suppressing behaviour related to discomfort induced with a cold pressure task does not influence working memory capacity in a 2-back task,"Running
+head:
+SUPPRESSING
+BEHAVIOUR
+INFLUENCE
+WORKING
+MEMORY
+CAPACITY
+DEPARTMENT OF PSYCHOLOGY
+Suppressing behaviour related to discomfort
+induced with a cold pressure task does not
+influence working memory capacity in a 2-back
+task.
+Erik Danielski
+Master thesis spring 2013
+Supervisors: Martin Wolgast & Emelie Stiernströmer"

+d00c335fbb542bc628642c1db36791eae24e02b7,Deep Learning-Based Gaze Detection System for Automobile Drivers Using a NIR Camera Sensor,"Article
+Deep Learning-Based Gaze Detection System for
+Automobile Drivers Using a NIR Camera Sensor
+Rizwan Ali Naqvi, Muhammad Arsalan, Ganbayar Batchuluun, Hyo Sik Yoon and
+Kang Ryoung Park *
+Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro, 1-gil, Jung-gu,
+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"

+d03f1257066ce5dd843c6977858a1daef0671f3d,Stories for Images-in-Sequence by using Visual and Narrative Components,"Stories for Images-in-Sequence by using Visual
+nd Narrative Components (cid:63)
+Marko Smilevski1,2, Ilija Lalkovski2, and Gjorgji Madjarov1,3
+Ss. Cyril and Methodius University, Skopje, Macedonia
+Pendulibrium, Skopje, Macedonia
+Elevate Global, Skopje, Macedonia"

+d0631ba22add59684fff926d80d2e6948dfb7d7e,MUTT: Metric Unit TesTing for Language Generation Tasks,"Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, pages 1935–1943,
+Berlin, Germany, August 7-12, 2016. c(cid:13)2016 Association for Computational Linguistics"

+d01e65591745fc46a3f69a6c9387be17caf55c16,State-Driven Particle Filter for Multi-person Tracking,"State-Driven Particle Filter
+for Multi-Person Tracking
+David Gerónimo1, Frédéric Lerasle2,3, and Antonio M. López1
+Computer Vision Center and Department of Computer Science
+Edifici O, 08193 Campus Universitat Autònoma de Barcelona, Bellaterra, Spain.
+CNRS-LAAS, 7 avenue du Colonel Roche, F-31077 Toulouse, France
+Université de Toulouse (UPS), F-31077 Toulouse, France"

+d0a9bbd3bd9dcb62f9874fc1378a7f1a17f44563,Prototype Generation Using Self-Organizing Maps for Informativeness-Based Classifier,"Hindawi
+Computational Intelligence and Neuroscience
+Volume 2017, Article ID 4263064, 15 pages
+https://doi.org/10.1155/2017/4263064
+Research Article
+Prototype Generation Using Self-Organizing Maps for
+Informativeness-Based Classifier
+Leandro Juvêncio Moreira1 and Leandro A. Silva2
+Graduate Program in Electrical Engineering and Computing, Mackenzie Presbyterian University, Sao Paulo, SP, Brazil
+Computing and Informatics Faculty & Graduate Program in Electrical Engineering and Computing,
+Mackenzie Presbyterian University, Sao Paulo, SP, Brazil
+Correspondence should be addressed to Leandro A. Silva;
+Received 31 January 2017; Revised 13 June 2017; Accepted 15 June 2017; Published 25 July 2017
+Academic Editor: Toshihisa Tanaka
+Copyright © 2017 Leandro Juvˆencio Moreira and Leandro A. Silva. 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.
+The 𝑘 nearest neighbor is one of the most important and simple procedures for data classification task. The 𝑘NN, as it is called,
+requires only two parameters: the number of𝑘 and a similarity measure. However, the algorithm has some weaknesses that make it
+nalysis and all training dataset is necessary. Another weakness is the optimal choice of 𝑘 parameter when the object analyzed"

+d0144d76b8b926d22411d388e7a26506519372eb,Improving Regression Performance with Distributional Losses,"Improving Regression Performance with Distributional Losses
+Ehsan Imani 1 Martha White 1"

+d0e20aa3d61b77d17f005a1d24d7cf47600836ef,Rethinking Atrous Convolution for Semantic Image Segmentation,"Rethinking Atrous Convolution for Semantic Image Segmentation
+Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam
+{lcchen, gpapan, fschroff,
+Google Inc."

+d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae,A 3-D Audio-Visual Corpus of Affective Communication,"A 3-D Audio-Visual Corpus
+of Affective Communication
+Gabriele Fanelli, Juergen Gall, Harald Romsdorfer, Member, IEEE, Thibaut Weise, and
+Luc Van Gool, Member, IEEE"

+d0a21f94de312a0ff31657fd103d6b29db823caa,Facial Expression Analysis,"Facial Expression Analysis
+Fernando De la Torre and Jeffrey F. Cohn"

+d03e4e938bcbc25aa0feb83d8a0830f9cd3eb3ea,Face Recognition with Patterns of Oriented Edge Magnitudes,"Face Recognition with Patterns of Oriented
+Edge Magnitudes
+Ngoc-Son Vu1,2 and Alice Caplier2
+Vesalis Sarl, Clermont Ferrand, France
+Gipsa-lab, Grenoble INP, France"

+d02c54192dbd0798b43231efe1159d6b4375ad36,3 D Reconstruction and Face Recognition Using Kernel-Based ICA and Neural Networks,"D Reconstruction and Face Recognition Using Kernel-Based
+ICA and Neural Networks
+Cheng-Jian Lin                  Ya-Tzu Huang
+Chi-Yung Lee
+Dept. of Electrical                Dept. of CSIE                    Dept. of CSIE
+Engineering              Chaoyang University              Nankai Institute of
+National University            of Technology                        Technology
+of Kaohsiung"

+d00787e215bd74d32d80a6c115c4789214da5edb,Faster and Lighter Online Sparse Dictionary Learning,"Faster and Lighter Online
+Sparse Dictionary Learning
+Project report
+By: Shay Ben-Assayag, Omer Dahary
+Supervisor: Jeremias Sulam"

+be8c517406528edc47c4ec0222e2a603950c2762,Measuring Facial Action,"Harrigan / The new handbook of methods in nonverbal behaviour research 02-harrigan-chap02 Page Proof page 7
+7.6.2005
+5:45pm
+B A S I C R E S E A RC H
+M E T H O D S A N D
+P RO C E D U R E S"

+beb3fd2da7f8f3b0c3ebceaa2150a0e65736d1a2,Adaptive Histogram Equalization and Logarithm Transform with Rescaled Low Frequency DCT Coefficients for Illumination Normalization,"RESEARCH PAPER
+International Journal of Recent Trends in Engineering Vol 1, No. 1, May 2009,
+Adaptive Histogram Equalization and Logarithm
+Transform with Rescaled Low Frequency DCT
+Coefficients for Illumination Normalization
+Virendra P. Vishwakarma, Sujata Pandey and M. N. Gupta
+Department of Computer Science and Engineering
+Amity School of Engineering Technology, 580, Bijwasan, New Delhi-110061, India
+(Affiliated to Guru Gobind Singh Indraprastha University, Delhi, India)
+Email:
+illumination  normalization.  The
+lighting  conditions.  Most  of  the"

+bee609ea6e71aba9b449731242efdb136d556222,Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets,"Multi-Target Tracking in Multiple
+Non-Overlapping Cameras using Constrained
+Dominant Sets
+Yonatan Tariku Tesfaye*, Student Member, IEEE, Eyasu Zemene*, Student Member, IEEE,
+Andrea Prati, Senior member, IEEE, Marcello Pelillo, Fellow, IEEE, and Mubarak Shah, Fellow, IEEE"

+be48b5dcd10ab834cd68d5b2a24187180e2b408f,Constrained Low-Rank Learning Using Least Squares-Based Regularization,"FOR PERSONAL USE ONLY
+Constrained Low-rank Learning Using Least
+Squares Based Regularization
+Ping Li, Member, IEEE, Jun Yu, Member, IEEE, Meng Wang, Member, IEEE,
+Luming Zhang, Member, IEEE, Deng Cai, Member, IEEE, and Xuelong Li, Fellow, IEEE,"

+be9dde86ebd10ecb05808e034e3cadd210fe0bfb,SLAMIT: A Sub-map based SLAM system On-line creation of multi-leveled map,"Master of Science Thesis in Electrical Engineering
+Department of Electrical Engineering, Linköping University, 2016
+SLAMIT: A Sub-map based
+SLAM system
+On-line creation of multi-leveled map
+Karl Holmquist"

+be48780eb72d9624a16dd211d6309227c79efd43,Interactive Visual and Semantic Image Retrieval,"Interactive Visual and Semantic Image Retrieval
+Joost van de Weijer, Fahad Khan and Marc Masana Castrillo
+Introduction
+One direct consequence of recent advances in digital visual data generation and
+the direct availability of this information through the World-Wide Web, is a urgent
+demand for efficient image retrieval systems. The disclosure of the content of these
+millions of photos available on the internet is of great importance. The objective
+of image retrieval is to allow users to efficiently browse through this abundance
+of images. Due to the non-expert nature of the majority of the internet users, such
+systems should be user friendly, and therefore avoid complex user interfaces.
+Traditionally, two sources of information are exploited in the description of im-
+ges on the web. The first approach, called text-based image retrieval, describes
+images by a set of labels or keywords [1]. These labels can be automatically ex-
+tracted from for example the image name (e.g. ’car.jpg’ would provide information
+bout the presence of a car in the image), or alternatively from the webpage text
+surrounding the image. Another, more expensive way would be to manually label
+images with a set of keywords. Shortcomings of the text-based approach to image
+retrieval are obvious: many objects in the scene will not be labeled, words suffer
+from the confusions in case of synonyms or homonyms, and words often fall short
+in describing the esthetics, composition and color scheme of a scene. However, un-"

+bea2c35ef78eb40df52e27cf4098f28a79bcbad5,TabletGaze: A Dataset and Baseline Algorithms for Unconstrained Appearance-based Gaze Estimation in Mobile Tablets,"TabletGaze: Unconstrained Appearance-based Gaze
+Estimation in Mobile Tablets
+Qiong Huang, Student Member, IEEE,, Ashok Veeraraghavan, Member, IEEE,,
+nd Ashutosh Sabharwal, Fellow, IEEE"

+be437b53a376085b01ebd0f4c7c6c9e40a4b1a75,Face Recognition and Retrieval Using Cross Age Reference Coding,"ISSN (Online) 2321 – 2004
+ISSN (Print) 2321 – 5526
+INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN ELECTRICAL, ELECTRONICS, INSTRUMENTATION AND CONTROL ENGINEERING
+Vol. 4, Issue 5, May 2016
+IJIREEICE
+Face Recognition and Retrieval Using Cross
+Age Reference Coding
+Sricharan H S1, Srinidhi K S1, Rajath D N1, Tejas J N1, Chandrakala B M2
+BE, DSCE, Bangalore1
+Assistant Professor, DSCE, Bangalore2"

+bea5780d621e669e8069f05d0f2fc0db9df4b50f,Convolutional Deep Belief Networks on CIFAR-10,"Convolutional Deep Belief Networks on CIFAR-10
+Alex Krizhevsky
+Introduction
+We describe how to train a two-layer convolutional Deep Belief Network (DBN) on the 1.6 million tiny images
+dataset.
+When training a convolutional DBN, one must decide what to do with the edge pixels of teh images. As
+the pixels near the edge of an image contribute to the fewest convolutional lter outputs, the model may
+see it t to tailor its few convolutional lters to better model the edge pixels. This is undesirable becaue it
+usually comes at the expense of a good model for the interior parts of the image. We investigate several ways
+of dealing with the edge pixels when training a convolutional DBN. Using a combination of locally-connected
+onvolutional units and globally-connected units, as well as a few tricks to reduce the eects of overtting,
+we achieve state-of-the-art performance in the classication task of the CIFAR-10 subset of the tiny images
+dataset.
+The dataset
+Throughout this paper we employ two subsets of the 80 million tiny images dataset [2]. The 80 million
+tiny images dataset is a collection of 32 × 32 color images obtained by searching various online image search"

+be07f2950771d318a78d2b64de340394f7d6b717,3D HMM-based Facial Expression Recognition using Histogram of Oriented Optical Flow,"See	discussions,	stats,	and	author	profiles	for	this	publication	at:	https://www.researchgate.net/publication/290192867
+D	HMM-based	Facial	Expression	Recognition
+using	Histogram	of	Oriented	Optical	Flow
+ARTICLE		in		SYNTHESIS	LECTURES	ON	ARTIFICIAL	INTELLIGENCE	AND	MACHINE	LEARNING	·	DECEMBER	2015
+DOI:	10.14738/tmlai.36.1661
+READS
+AUTHORS,	INCLUDING:
+Sheng	Kung
+Oakland	University
+Djamel	Bouchaffra
+Institute	of	Electrical	and	Electronics	Engineers
+PUBLICATION			0	CITATIONS
+57	PUBLICATIONS			402	CITATIONS
+SEE	PROFILE
+SEE	PROFILE
+All	in-text	references	underlined	in	blue	are	linked	to	publications	on	ResearchGate,
+letting	you	access	and	read	them	immediately.
+Available	from:	Djamel	Bouchaffra
+Retrieved	on:	11	February	2016"

+be313072e9706df300d86bfac54079acfb9c1ef0,Descripteurs à divers niveaux de concepts pour la classification d ’ images multi-objets,"Descripteurs à divers niveaux de concepts pour la classification
+d’images multi-objets
+Y. Tamaazousti1 3
+H. Le Borgne1
+C. Hudelot2 3
+CentraleSupélec, Laboratoire de Mathématiques et Informatique pour la Complexité et les Systèmes
+CEA LIST, Laboratoire Vision et Ingénierie des Contenus
+Université Paris-Saclay, Laboratoire MICS
+{Youssef.tamaazousti,
+Résumé
+La classification d’images au moyen de descripteurs sé-
+mantiques repose sur des caractéristiques formées par
+les sorties de classifieurs binaires, chacun détectant un
+oncept visuel dans l’image. Les approches existantes
+onsidèrent souvent
+les concepts visuels indépendam-
+ment les uns des autres, alors qu’ils sont souvent liés.
+Ces relations sont parfois prises en compte, au moyen
+d’un schéma ascendant dépendant fortement de descrip-
+teurs bas-niveaux, induisant des relations non-pertinentes"

+bea185a15d5df7bbfce83bc684c316412703efbb,Pixelnn: Example-based Image Synthesis,"Under review as a conference paper at ICLR 2018
+PIXELNN: EXAMPLE-BASED IMAGE SYNTHESIS
+Anonymous authors
+Paper under double-blind review"

+be24e5fd1ec27d444c66183e89b5033db9155de9,"A Continuous, Full-scope, Spatio-temporal Tracking Metric based on KL-divergence","A Continuous, Full-scope, Spatio-temporal Tracking
+Metric based on KL-divergence
+Terry Adams
+U.S. Government
+Suite 6587
+Ft. Meade, MD 20755
+Email:"

+be21529c47b79b688b420c5e296086698ba11350,CNN-Based Multimodal Human Recognition in Surveillance Environments,"Article
+CNN-Based Multimodal Human Recognition in
+Surveillance Environments
+Ja Hyung Koo, Se Woon Cho, Na Rae Baek, Min Cheol Kim and Kang Ryoung Park *
+Division of Electronics and Electrical Engineering, Dongguk University, 30 Pil-dong-ro, 1-gil, Jung-gu,
+Seoul 100-715, Korea; (J.H.K.); (S.W.C.);
+(N.R.B.); (M.C.K.)
+* Correspondence: Tel.: +82-10-3111-7022; Fax: +82-2-2277-8735
+Received: 7 August 2018; Accepted: 8 September 2018; Published: 11 September 2018"

+be6f29e129a99529f7ed854384d1f4da04c4ca1f,Spatially Consistent Nearest Neighbor Representations for Fine-Grained Classification. (Représentations d'images basées sur un principe de voisins partagés pour la classification fine),"Spatially Consistent Nearest Neighbor Representations
+for Fine-Grained Classification
+Valentin Leveau
+To cite this version:
+Valentin Leveau. Spatially Consistent Nearest Neighbor Representations for Fine-Grained Classifica-
+tion. Computer Science [cs]. Université Montpellier, 2016. English. <tel-01410137>
+HAL Id: tel-01410137
+https://hal.archives-ouvertes.fr/tel-01410137
+Submitted on 6 Dec 2016
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de
+recherche français ou étrangers, des laboratoires"

+beb4546ae95f79235c5f3c0e9cc301b5d6fc9374,A Modular Approach to Facial Expression Recognition,"A Modular Approach to Facial Expression Recognition
+Michal Sindlar
+Cognitive Artificial Intelligence, Utrecht University, Heidelberglaan 6, 3584 CD, Utrecht
+Marco Wiering
+Intelligent Systems Group, Utrecht University, Padualaan 14, 3508 TB, Utrecht"

+befd21f74248ca5f22f608043d64cdea67829737,Decoupled Access-Execute on ARM big.LITTLE,"Decoupled Access-Execute on ARM big.LITTLE
+Anton Weber
+Uppsala University
+nton.weber.0295
+Kim-Anh Tran
+Uppsala University
+kim-anh.tran
+Stefanos Kaxiras
+Uppsala University
+stefanos.kaxiras
+Alexandra Jimborean
+lexandra.jimborean
+Uppsala University"

+be0bd420b78be8dfc0aad65dddae10ff1ec30a94,People Orientation Recognition by Mixtures of Wrapped Distributions on Random Trees,"People Orientation Recognition by Mixtures
+of Wrapped Distributions on Random Trees
+Davide Baltieri, Roberto Vezzani, and Rita Cucchiara
+DIEF - University of Modena and Reggio Emilia
+Via Vignolese 905, 41125 - Modena, Italy
+http://imagelab.ing.unimore.it"

+be707bf7c7096df0fcf5bb07ef0fa53494d6a781,Effective Classifiers for Detecting Objects,"Effective Classifiers for Detecting Objects
+Michael Mayo
+Dept. of Computer Science
+University of Waikato
+Private Bag 3105, Hamilton, New Zealand
+in  the
+literature:
+Introduction
+image. Many image databases such as Caltech-101 [1]
+onsist  of  images  with  the  objects  of  interest  in  a
+dominant foreground position, occupying most of the
+image."

+bebea83479a8e1988a7da32584e37bfc463d32d4,Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning,"Discovery of Latent 3D Keypoints via
+End-to-end Geometric Reasoning
+Supasorn Suwajanakorn∗ Noah Snavely
+Jonathan Tompson Mohammad Norouzi
+{supasorn, snavely, tompson,
+Google AI"

+beeeade98988e55afe81faaedf06dc00848ec751,ARBEE: Towards Automated Recognition of Bodily Expression of Emotion In the Wild,"Int J Comput Vis manuscript No.
+(will be inserted by the editor)
+ARBEE: Towards Automated Recognition of Bodily
+Expression of Emotion In the Wild
+Yu Luo · Jianbo Ye · Reginald B. Adams, Jr. · Jia Li ·
+Michelle G. Newman · James Z. Wang
+Received: date / Accepted: date"

+beb7a0329c3042c2ce63b5789e2581bb8e2dbbea,Generating Visual Representations for Zero-Shot Classification,"Generating Visual Representations for Zero-Shot Classification
+Maxime Bucher, St´ephane Herbin
+ONERA - The French Aerospace Lab
+Palaiseau, France
+Normandie Univ, UNICAEN, ENSICAEN, CNRS
+Fr´ed´eric Jurie
+Caen, France"

+bed7834ae7d371171977a590872f60d137c2f951,GuessWhat?! Visual Object Discovery through Multi-modal Dialogue,"GuessWhat?! Visual object discovery through multi-modal dialogue
+Harm de Vries
+University of Montreal
+Florian Strub
+Univ. Lille, CNRS, Centrale Lille,
+Inria, UMR 9189 CRIStAL
+Sarath Chandar
+University of Montreal
+Olivier Pietquin
+DeepMind
+Hugo Larochelle
+Twitter
+Aaron Courville
+University of Montreal"

+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"

+beec0138d21271379bdfa89317a0a1d648733bad,Model-Free Multiple Object Tracking with Shared Proposals,"Model-Free Multiple Object Tracking with
+Shared Proposals
+Gao Zhu1, Fatih Porikli1,2,3, Hongdong Li1,3
+Australian National University1, Data61/CSIRO2,
+ARC Centre of Excellence for Robotic Vision3"

+befa14324bb71e5d0f30808e54abc970d52f758c,A Convex Approach for Image Hallucination,"OAGM/AAPR Workshop 2013 (arXiv:1304.1876)
+A Convex Approach for Image Hallucination
+Institute for Computer Graphics and Vision, University of Technology Graz
+Peter Innerhofer, Thomas Pock"

+be25d7bff3b5928adf6c0a7f5495d47113f80997,Learning to Drive: Perception for Autonomous Cars 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,"LEARNING TO DRIVE:
+PERCEPTION FOR AUTONOMOUS CARS
+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
+David Michael Stavens
+May 2011"

+be4c2b6fdde83179dd601541f57ee5d14fe1e98a,Graphical Generative Adversarial Networks,"Graphical Generative Adversarial Networks
+Chongxuan Li 1 Max Welling 2 Jun Zhu 1 Bo Zhang 1"

+becb704450c6b2f7f57f03955036a5b66380b816,A Software Architecture for RGB-D People Tracking Based on ROS Framework for a Mobile Robot,"A software architecture for RGB-D
+people tracking based on ROS
+framework for a mobile robot
+Matteo Munaro, Filippo Basso, Stefano Michieletto, Enrico Pagello, and
+Emanuele Menegatti"

+be993d793e393127e3fb34d27fda255894edaedc,UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss,"UnFlow: Unsupervised Learning of Optical Flow
+with a Bidirectional Census Loss
+Simon Meister, Junhwa Hur, Stefan Roth
+Department of Computer Science
+TU Darmstadt, Germany"

+be72b20247fb4dc4072d962ced77ed89aa40372f,"Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN","Ef‌f‌icient Facial Representations for Age, Gender
+nd Identity Recognition in Organizing Photo
+Albums using Multi-output CNN
+Andrey V. Savchenko
+Samsung-PDMI Joint AI Center, St. Petersburg Department of Steklov Institute of
+Mathematics
+National Research University Higher School of Economics
+Nizhny Novgorod, Russia"

+be75a0ff3999754f20e63fde90f4c68b4af22d60,R4-A.1: Dynamics-Based Video Analytics,"R4-A.1: Dynamics-Based Video Analytics
+PARTICIPANTS
+Octavia Camps
+Mario Sznaier
+Title
+Co-PI
+Co-PI
+Faculty/Staff
+Institution
+Graduate, Undergraduate and REU Students
+Oliver Lehmann
+Mengran Gou
+Yongfang Cheng
+Yin Wang
+Sadjad Asghari-Esfeden
+Angels Rates
+Degree Pursued
+Institution
+Email
+Month/Year of Graduation"

+be5b455abd379240460d022a0e246615b0b86c14,"The MR2: A multi-racial, mega-resolution database of facial stimuli.","Behav Res
+DOI 10.3758/s13428-015-0641-9
+The MR2: A multi-racial, mega-resolution database of facial
+stimuli
+Nina Strohminger1,6 · Kurt Gray2 · Vladimir Chituc3 · Joseph Heffner4 ·
+Chelsea Schein2 · Titus Brooks Heagins5
+© Psychonomic Society, Inc. 2015"

+be62019734554152c4feef62ba3092894b402efb,ARISTA - image search to annotation on billions of web photos,"The Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition
+Poster Spotlights
+Session: Thursday Poster Session, Thurs 17 June 2010, 10:30 - 12:10 am
+ARISTA - Image Search to Annotation
+on Billions of Web Photos
+Xin-Jing Wang, Lei Zhang, Ming Liu, Yi Li,
+Wei-Ying Ma"

+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"

+b331ca23aed90394c05f06701f90afd550131fe3,Double regularized matrix factorization for image classification and clustering,"Zhou et al. EURASIP Journal on Image and Video Processing  (2018) 2018:49
+https://doi.org/10.1186/s13640-018-0287-5
+EURASIP Journal on Image
+nd Video Processing
+R ES EAR CH
+Double regularized matrix factorization for
+image classification and clustering
+Wei Zhou1*
+, Chengdong Wu2, Jianzhong Wang3,4, Xiaosheng Yu2 and Yugen Yi5
+Open Access"

+b37f57edab685dba5c23de00e4fa032a3a6e8841,Towards social interaction detection in egocentric photo-streams,"Towards Social Interaction Detection in Egocentric Photo-streams
+Maedeh Aghaei, Mariella Dimiccoli, Petia Radeva
+University of Barcelona and Computer Vision Centre, Barcelona, Spain
+Recent advances in wearable camera technology have
+led to novel applications in the field of Preventive Medicine.
+For some of them, such as cognitive training of elderly peo-
+ple by digital memories and detection of unhealthy social
+trends associated to neuropsychological disorders, social in-
+teraction are of special interest. Our purpose is to address
+this problem in the domain of egocentric photo-streams cap-
+tured by a low temporal resolution wearable camera (2fpm).
+These cameras are suited for collecting visual information
+for long period of time, as required by the aforementioned
+pplications. The major difficulties to be handled in this
+ontext are the sparsity of observations as well as the unpre-
+dictability of camera motion and attention orientation due
+to the fact that the camera is worn as part of clothing (see
+Fig. 1). Inspired by the theory of F-formation which is a
+pattern that people tend to follow when interacting [5], our
+proposed approach consists of three steps: multi-faces as-"

+b33b88a5fa5d4f20c24dd0e5f3b3529b7545c9e6,Object Detection in Real Images,"SCHOOL OF COMPUTER ENGINEERING
+PhD Confirmation Report
+Object Detection in Real Images
+Submitted by: Dilip Kumar Prasad
+Research Student (PhD)
+School of Computer Engineering
+E-mail:
+Supervisor:     Dr. Maylor K. H. Leung
+Associate Professor,
+School of Computer Engineering
+E-mail:
+August 2010"

+b3d8705d46a1d63b40a76bbcf8822b2e90b3b9ad,Efficient Labelling of Pedestrian Supervisions,"Electronic Letters on Computer Vision and Image Analysis 15(1):77-99, 2016
+Efficient Labelling of Pedestrian Supervisions
+Kyaw Kyaw Htike
+School of Information Technology, UCSI University, Kuala Lumpur, Malaysia
+Received 7th Mar 2016; accepted 26th Jun 2016"

+b30bdbad88c72938c476f1ea6827d8b10c300da4,Supervised Mixed Norm Autoencoder for Kinship Verification in Unconstrained Videos,"Supervised Mixed Norm Autoencoder for Kinship
+Verification in Unconstrained Videos
+Naman Kohli, Student Member, IEEE, Daksha Yadav, Student Member, IEEE, Mayank Vatsa,
+Senior Member, IEEE, Richa Singh, Senior Member, IEEE, and Afzel Noore, Senior Member, IEEE."

+b3adc7617dff08d7427142837a326b95d2e83969,A Panoramic View of Performance,"Comp. by: BVijayalakshmi Stage: Galleys ChapterID: 0000883562 Date:27/1/09 Time:17:57:10
+Evaluation of Gait Recognition
+, ZONGYI LIU
+SUDEEP SARKAR
+Computer Science and Engineering, University of
+South Florida, Tampa, FL, USA
+Amazon.com, Seattle, WA, USA
+Synonyms
+Gait recognition; Progress in gait recognition
+Definition
+Gait recognition refers to automated vision methods
+that use video of human gait to recognize or to identify
+person. Evaluation of gait recognition refers to the
+enchmarking of progress in the design of gait recog-
+nition algorithms on standard, common, datasets.
+Introduction
+Design of biometric algorithms and evaluation of per-
+formance goes hand in hand. It is important to con-
+stantly evaluate and analyze progress being at various
+levels of biometrics design. This evaluation can be of"

+b3cb91a08be4117d6efe57251061b62417867de9,Label propagation approach for predicting missing biographic labels in face-based biometric records,"T. Swearingen and A. Ross. ""A label propagation approach for predicting missing biographic labels in
+A Label Propagation Approach for
+Predicting Missing Biographic Labels
+in Face-Based Biometric Records
+Thomas Swearingen and Arun Ross"

+b336f946d34cb427452517f503ada4bbe0181d3c,Diagnosing Error in Temporal Action Detectors,"Diagnosing Error in Temporal Action Detectors
+Humam Alwassel, Fabian Caba Heilbron, Victor Escorcia, and Bernard
+Ghanem
+King Abdullah University of Science and Technology (KAUST), Saudi Arabia
+http://www.humamalwassel.com/publication/detad/
+{humam.alwassel, fabian.caba, victor.escorcia,"

+b340f275518aa5dd2c3663eed951045a5b8b0ab1,Visual inference of human emotion and behaviour,"Visual Inference of Human Emotion and Behaviour
+Shaogang Gong
+Caifeng Shan
+Tao Xiang
+Dept of Computer Science
+Queen Mary College, London
+Dept of Computer Science
+Queen Mary College, London
+Dept of Computer Science
+Queen Mary College, London
+England, UK
+England, UK
+England, UK"

+b38e5da11281be44c82d184079d762c9d526ba2e,Understanding Grounded Language Learning Agents,"Under review as a conference paper at ICLR 2018
+UNDERSTANDING GROUNDED LANGUAGE LEARNING
+AGENTS
+Anonymous authors
+Paper under double-blind review"

+b34487edb8d47c0101d514b8cb63148d80deee54,Utility of Satellite and Aerial Images for Quantification of Canopy Cover and Infilling Rates of the Invasive Woody Species Honey Mesquite (Prosopis Glandulosa) on Rangeland,"Remote Sens. 2012, 4, 1947-1962; doi:10.3390/rs4071947
+OPEN ACCESS
+ISSN 2072-4292
+www.mdpi.com/journal/remotesensing
+Article
+Utility of Satellite and Aerial Images for Quantification of
+Canopy Cover and Infilling Rates of the Invasive Woody Species
+Honey Mesquite (Prosopis Glandulosa) on Rangeland
+Mustafa Mirik * and R. James Ansley
+Texas AgriLife Research, P.O. Box 1658, 11708 Hwy 70 South, Vernon, TX 76385, USA;
+E-Mail:
+*  Author to whom correspondence should be addressed; E-Mail:
+Tel.: +1-940-552-9941; Fax: +1-940-552-2317.
+Received: 9 May 2012; in revised form: 5 June 2012 / Accepted: 25 June 2012 /
+Published: 29 June 2012"

+b3655bcc6f491ae995c652c7f51e1b9b3a36d39c,User authentication based on foot motion,"Noname manuscript No.
+(will be inserted by the editor)
+User Authentication Based on Foot Motion
+Davrondzhon Gafurov, Patrick Bours and Einar Snekkenes
+Received: date / Accepted: date"

+b3d936c0d82f9b2032949af685a10708c6856d2c,Deep Learning from Noisy Image Labels with Quality Embedding,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Deep Learning from Noisy Image Labels with
+Quality Embedding
+Jiangchao Yao, Jiajie Wang,
+Ivor Tsang, Ya Zhang, Jun Sun, Chengqi Zhang, Rui Zhang"

+b3f0a87043f7843b79744ec19dc0b93324d055d5,Improvements to Tracking Pedestrians in Video Streams Using a Pre-trained Convolutional Neural Network,"Western University
+Electronic Thesis and Dissertation Repository
+August 2016
+Improvements to Tracking Pedestrians in Video
+Streams Using a Pre-trained Convolutional Neural
+Network
+Marjan Ramin
+The University of Western Ontario
+Supervisor
+Dr. Jagath Samarabandu
+The University of Western Ontario
+Graduate Program in Electrical and Computer Engineering
+A thesis submitted in partial fulfillment of the requirements for the degree in Master of Engineering Science
+© Marjan Ramin 2016
+Follow this and additional works at: https://ir.lib.uwo.ca/etd
+Part of the Computer Engineering Commons
+Recommended Citation
+Ramin, Marjan, ""Improvements to Tracking Pedestrians in Video Streams Using a Pre-trained Convolutional Neural Network"" (2016).
+Electronic Thesis and Dissertation Repository. 3886.
+https://ir.lib.uwo.ca/etd/3886"

+b375db63742f8a67c2a7d663f23774aedccc84e5,Brain-Inspired Classroom Occupancy Monitoring on a Low-Power Mobile Platform,"Brain-inspired Classroom Occupancy
+Monitoring on a Low-Power Mobile Platform
+Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy
+Francesco Conti∗, Antonio Pullini† and Luca Benini∗†
+Integrated Systems Laboratory, ETH Zurich, Switzerland"

+b3e2bd3f89e49833d45c30af7d5c923489b4d5fc,Fast Approximate kNN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection,"Fast Approximate kNN Graph Construction for High
+Dimensional Data via Recursive Lanczos Bisection∗
+Jie Chen†
+Haw-ren Fang†
+Yousef Saad†
+October 2, 2008"

+b3ca58539e1407e0fb6b308194234279f78eb1d7,Structure Aligning Discriminative Latent Embedding for Zero-Shot Learning,"GUNE ET AL: STRUCTURE ALIGNING DISCRIMINATIVE LATENT EMBEDDING FOR ZSL 1
+Structure Aligning Discriminative Latent
+Embedding for Zero-Shot Learning
+Omkar Gune
+Biplab Banerjee
+Subhasis Chaudhuri
+Indian Institute of Technology Bombay,
+Mumbai, India
+Indian Institute of Technology Bombay,
+Mumbai, India
+Indian Institute of Technology Bombay,
+Mumbai, India"

+b3c60b642a1c64699ed069e3740a0edeabf1922c,Max-Margin Object Detection,"Max-Margin Object Detection
+Davis E. King"

+b362b812ececef21100d7a702447fcf5ab6d4715,Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer,"Understanding and Improving Interpolation in
+Autoencoders via an Adversarial Regularizer
+David Berthelot∗
+Google Brain
+Colin Raffel∗
+Google Brain
+Aurko Roy
+Google Brain
+Ian Goodfellow
+Google Brain"

+b3f7c772acc8bc42291e09f7a2b081024a172564,"A novel approach for performance parameter estimation of face recognition based on clustering , shape and corner detection","www.ijmer.com            Vol. 3, Issue. 5, Sep - Oct. 2013 pp-3225-3230                 ISSN: 2249-6645
+International Journal of Modern Engineering Research (IJMER)
+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.
+Published in:
+Comprehensive Results in Social Psychology
+0.1080/23743603.2017.1298355
+Link to publication
+Citation for published version (APA):
+Sachisthal, M. S. M., Sauter, D. A., & Fischer, A. H. (2016). Mimicry of ingroup and outgroup emotional
+expressions. Comprehensive Results in Social Psychology, 1(1-3), 86-105. DOI:
+0.1080/23743603.2017.1298355
+General rights
+It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s),
+other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons).
+Disclaimer/Complaints regulations
+If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating
+your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask
+the Library: http://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam,
+The Netherlands. You will be contacted as soon as possible.
+Download date: 08 Aug 2018"

+b34e7a2218abd5894525a60ed4f106cb9c3dc1e8,Understanding Grounded Language Learning Agents,"Under review as a conference paper at ICLR 2018
+UNDERSTANDING GROUNDED LANGUAGE LEARNING
+AGENTS
+Anonymous authors
+Paper under double-blind review"

+b32631f456397462b3530757f3a73a2ccc362342,Discriminant Tensor Dictionary Learning with Neighbor Uncorrelation for Image Set Based Classification,Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)

+b348d5c7ac93d1148265284d71234e200c9c5f02,GibbsNet: Iterative Adversarial Inference for Deep Graphical Models,"GibbsNet: Iterative Adversarial Inference for Deep
+Graphical Models
+Alex Lamb
+MILA, Universite de Montreal
+Yaroslav Ganin
+MILA, Universite de Montreal
+R Devon Hjelm
+MILA, Universite de Montreal
+Joseph Paul Cohen
+MILA, Universite de Montreal
+Institute for Reproducible Research
+Aaron Courville
+MILA, Universite de Montreal
+CIFAR
+Yoshua Bengio
+MILA, Universite de Montreal
+CIFAR"

+dfd18b71f5c53ec2a95fcbe327cf7710da3b4851,Robust Submodular Maximization: A Non-Uniform Partitioning Approach,"Robust Submodular Maximization:
+A Non-Uniform Partitioning Approach
+Ilija Bogunovic 1 Slobodan Mitrovi´c 2 Jonathan Scarlett 1 Volkan Cevher 1"

+df90850f1c153bfab691b985bfe536a5544e438b,"Face Tracking Algorithm Robust to Pose , Illumination and Face Expression Changes : a 3 D Parametric Model Approach","FACE TRACKING ALGORITHM ROBUST TO POSE,
+ILLUMINATION AND FACE EXPRESSION CHANGES: A 3D
+PARAMETRIC MODEL APPROACH
+Marco Anisetti, Valerio Bellandi
+University of Milan - Department of Information Technology
+via Bramante 65 - 26013, Crema (CR), Italy
+Luigi Arnone, Fabrizio Beverina
+STMicroelectronics - Advanced System Technology Group
+via Olivetti 5 - 20041, Agrate Brianza, Italy
+Keywords:
+Face tracking, expression changes, FACS, illumination changes."

+df8da144a695269e159fb0120bf5355a558f4b02,Face Recognition using PCA and Eigen Face Approach,"International Journal of Computer Applications (0975 – 8887)
+International Conference on Recent Trends in engineering & Technology - 2013(ICRTET'2013)
+Face Recognition using PCA and Eigen Face
+Approach
+Anagha A. Shinde
+ME EXTC [VLSI & Embedded System]
+Sinhgad Academy of Engineering
+EXTC Department
+Pune, India"

+df577a89830be69c1bfb196e925df3055cafc0ed,"Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions","Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions
+Bichen Wu, Alvin Wan∗, Xiangyu Yue∗, Peter Jin, Sicheng Zhao,
+Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer
+UC Berkeley"

+df353e3a46cca8c1ef274994f5a6dcb580231726,Data-driven fundamental models for pedestrian movements,"POUR L'OBTENTION DU GRADE DE DOCTEUR ÈS SCIENCESacceptée sur proposition du jury:Prof. P. Frossard, président du juryProf. M. Bierlaire, directeur de thèseProf. H. Mahmassani, rapporteurProf. S. Hoogendoorn, rapporteurProf. N. Geroliminis, rapporteurData-driven fundamental models for pedestrian movementsTHÈSE NO 7613 (2017)ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNEPRÉSENTÉE LE 5 MAI 2017À LA FACULTÉ DE L'ENVIRONNEMENT NATUREL, ARCHITECTURAL ET CONSTRUITLABORATOIRE TRANSPORT ET MOBILITÉPROGRAMME DOCTORAL EN GÉNIE ÉLECTRIQUE Suisse2017PARMarija NIKOLIĆ"

+df50e6e2ad60825167c6b3e641eb5cda0f3dc505,Theoretical vs. empirical discriminability: the application of ROC methods to eyewitness identification,"Wixted and Mickes Cognitive Research: Principles and Implications  (2018) 3:9
+https://doi.org/10.1186/s41235-018-0093-8
+Cognitive Research: Principles
+nd Implications
+TU T O R I A L R E V I EW
+Theoretical vs. empirical discriminability:
+the application of ROC methods to
+eyewitness identification
+John T. Wixted1* and Laura Mickes2
+Open Access"

+dfb342327c5e883d21a1f91cd283b36dbc2a3661,Game of Sketches: Deep Recurrent Models of Pictionary-style Word Guessing,"Deep Recurrent Models of Pictionary-style Word
+Guessing
+Ravi Kiran Sarvadevabhatla, Member, IEEE, Shiv Surya, Trisha Mittal and R. Venkatesh Babu Senior
+Member, IEEE"

+dff612c198dc50a7bef5a9cd48da5da1f893fa72,A fast stereo-based multi-person tracking using an approximated likelihood map for overlapping silhouette templates,"A Fast Stereo-Based Multi-Person Tracking
+using an Approximated Likelihood Map
+for Overlapping Silhouette Templates
+Junji Satake
+Jun Miura
+Department of Computer Science and Engineering
+Toyohashi University of Technology
+Email: {satake,
+Toyohashi, Japan"

+df51dfe55912d30fc2f792561e9e0c2b43179089,Face Hallucination Using Linear Models of Coupled Sparse Support,"Face Hallucination using Linear Models of Coupled
+Sparse Support
+Reuben A. Farrugia, Member, IEEE, and Christine Guillemot, Fellow, IEEE
+grid and fuse them to suppress the aliasing caused by under-
+sampling [5], [6]. On the other hand, learning based meth-
+ods use coupled dictionaries to learn the mapping relations
+etween low- and high- resolution image pairs to synthesize
+high-resolution images from low-resolution images [4], [7].
+The research community has lately focused on the latter
+ategory of super-resolution methods, since they can provide
+higher quality images and larger magnification factors."

+df054fa8ee6bb7d2a50909939d90ef417c73604c,Image Quality-aware Deep Networks Ensemble for Efficient Gender Recognition in the Wild,"Image Quality-Aware Deep Networks Ensemble for Efficient
+Gender Recognition in the Wild
+Mohamed Selim1, Suraj Sundararajan1, Alain Pagani2 and Didier Stricker1,2
+Augmented Vision Lab, Technical University Kaiserslautern, Kaiserslautern, Germany
+German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany
+{mohamed.selim, alain.pagani, s
+Keywords:
+Gender, Face, Deep Neural Networks, Quality, In the Wild"

+df4525d7d99f7237c864adbcb2dab30d8f7447e0,Kernel Cross-View Collaborative Representation based Classification for Person Re-Identification,"Kernel Cross-View Collaborative Representation based Classification for Person
+Re-Identification
+Raphael Prates and William Robson Schwartz
+Universidade Federal de Minas Gerais, Brazil
+6627, Av. Pres. Antˆonio Carlos - Pampulha, Belo Horizonte - MG, 31270-901"

+df80fed59ffdf751a20af317f265848fe6bfb9c9,Learning Deep Sharable and Structural Detectors for Face Alignment,"Learning Deep Sharable and Structural
+Detectors for Face Alignment
+Hao Liu, Jiwen Lu, Senior Member, IEEE, Jianjiang Feng, Member, IEEE, and Jie Zhou, Senior Member, IEEE"

+df3b560a5d6c8cc5fa1477d3a89245a0d3b60715,Human tracking with multiple parallel metrics,"Human tracking with multiple parallel metrics
+P. M. Birch*, W. Hassan, R. C. D. Young, C.R. Chatwin
+Dept. of Engineering and Design, University of Sussex, Falmer, UK, BN1 9QT
+Keywords: HOG, Correlation, Tracking"

+dfe2d36ca249876e5ab5500f155e3a5094dbc170,Application of common sense computing for the development of a novel knowledge-based opinion mining engine,"Application of Common Sense Computing for
+the Development of a Novel Knowledge-Based
+Opinion Mining Engine
+A thesis submitted in accordance with the requirements of
+the University of Stirling for the degree of Doctor of Philosophy
+Erik Cambria
+Principal Supervisor: Amir Hussain (University of Stirling, UK)
+Additional Supervisor: Catherine Havasi (MIT Media Laboratory, USA)
+Industrial Supervisor: Chris Eckl (Sitekit Solutions Ltd, UK)
+Department of Computing Science & Mathematics
+University of Stirling, Scotland, UK
+December 2011"

+df310591dfba9672252d693bc87da73c246749c9,Fusion of Holistic and Part Based Features for Gender Classification in the Wild,"Fusion of Holistic and Part Based Features
+for Gender Classification in the Wild
+Modesto Castrill´on-Santana(B), Javier Lorenzo-Navarro,
+nd Enrique Ram´on-Balmaseda
+Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
+http://berlioz.dis.ulpgc.es/roc-siani"

+dfcb4773543ee6fbc7d5319b646e0d6168ffa116,Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks,"Unifying Variational Autoencoders and Generative Adversarial Networks
+Adversarial Variational Bayes:
+Lars Mescheder 1
+Sebastian Nowozin 2
+Andreas Geiger 1 3"

+dfbf49ed66a9e48671964872c84f75d7f916c131,Supplementary Material for Sparsity Invariant CNNs,"Supplementary Material for
+Sparsity Invariant CNNs
+Jonas Uhrig(cid:63),1,2 Nick Schneider(cid:63),1,3
+Lukas Schneider1,4
+Uwe Franke1
+Thomas Brox2 Andreas Geiger4,5
+Daimler R&D Sindelfingen
+University of Freiburg
+KIT Karlsruhe
+ETH Z¨urich
+5MPI T¨ubingen
+. Convergence Analysis
+We find that Sparse Convolutions converge much faster than standard convolutions for most input-output-combinations,
+especially for those on Synthia with irregularly sparse depth input, as considered in Section 5.1 of the main paper. In Figure
+, we show the mean average error in meters on our validation subset of Synthia over the process of training with identical
+solver settings (Adam with momentum terms of β1 = 0.9, β2 = 0.999 and delta 1e−8). We chose for each variant the
+maximal learning rate which still causes the network to converge (which turned out to be 1e−3 for all three variants). We
+find that Sparse Convolutions indeed train much faster and much smoother compared to both ConvNet variants, most likely
+aused by the explicit ignoring of invalid regions in the update step. Interestingly, the ConvNet variant with concatenated
+visibility mask in the input converges smoother than the variant with only sparse depth in the input, however, additionally"

+dfbc3a6a629433f24f4e06fdfe8389f83afa7094,Learning OpenCV,"Learning OpenCV
+Gary Bradski and Adrian Kaehler
+Beijing  ·  Cambridge  ·  Farnham  ·  Köln  ·  Sebastopol  ·  Taipei  ·  Tokyo"

+df999184b1bb5691cd260b2b77df7ef00c0fe7b1,On Latent Distributions Without Finite Mean in Generative Models,"On Latent Distributions Without Finite Mean in
+Generative Models
+Damian Le´sniak∗
+Igor Sieradzki∗
+Jagiellonian University
+Igor Podolak"

+df28cd627afe6d20eb198b8406ff25ece340653d,The Acquisition of Sign Language by Deaf Children with Autism Spectrum Disorder,"The Acquisition of Sign
+Language by Deaf Children
+with Autism Spectrum
+Disorder
+Aaron Shield and Richard P. Meier
+Introduction
+Autism spectrum disorder (ASD) consists of a set of neurobiological
+developmental disorders characterized by communicative and social deficits
+s well as repetitive, stereotyped behaviors.1 In this chapter, we use the
+terms ‘ASD’ and ‘autism’ interchangeably; although ‘autism’ is not a clinical
+term, it is the term popularly used to refer to the range of disorders found
+in ASD.
+The language deficits of hearing children with autism are well docu-
+mented, and can range from the very mild in highly fluent speakers to the
+very severe in children with a total absence of productive spoken language.
+For those children who do acquire speech, the most common  characteristics
+of autistic language include echolalia (echoing the utterances of others),
+pronoun reversal, idiosyncratic language use and neologisms (the creation
+of new words), difficulty with pragmatics (problems interpreting the use
+of language in context and the non-literal use of language), and abnormal"

+dfaa547451aae219cd2ca7a761e6c16c1e1d0add,Representation Learning by Rotating Your Faces,"Representation Learning by Rotating Your Faces
+Luan Tran, Xi Yin, and Xiaoming Liu, Member, IEEE"

+dfa80e52b0489bc2585339ad3351626dee1a8395,Human Action Forecasting by Learning Task Grammars,"Human Action Forecasting by Learning Task Grammars
+Tengda Han
+Jue Wang
+Anoop Cherian
+Stephen Gould"

+dfe7700ed053d4788ecea4a18431806581e03291,Grammatical facial expression recognition using customized deep neural network architecture,"Grammatical facial expression recognition using customized
+deep neural network architecture
+Devesh Walawalkar"

+dffb64ac066bbcfe6aea6b11408b5ea62a40e9fb,"A New Face Recognition Scheme for Faces with Expressions , Glasses and Rotation","International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-6367(Print),
+INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING &
+ISSN 0976 - 6375(Online), Volume 5, Issue 4, April (2014), pp. 11-23 © IAEME
+TECHNOLOGY (IJCET)
+ISSN 0976 – 6367(Print)
+ISSN 0976 – 6375(Online)
+Volume 5, Issue 4, April (2014), pp. 11-23
+© IAEME: www.iaeme.com/ijcet.asp
+Journal Impact Factor (2014): 8.5328 (Calculated by GISI)
+www.jifactor.com
+IJCET
+© I A E M E
+A NEW FACE RECOGNITION SCHEME FOR FACES WITH EXPRESSIONS,
+GLASSES AND ROTATION
+Walaa M Abdel-Hafiez1,    Mohamed Heshmat2,    Moheb Girgis3,    Seham Elaw4
+, 2, 4Faculty of Science, Mathematical and Computer Science Department,
+Sohag University, 82524, Sohag, Egypt
+3Faculty of Science, Department of Computer Science,
+Minia University, El-Minia, Egypt"

+dfecaedeaf618041a5498cd3f0942c15302e75c3,A recursive framework for expression recognition: from web images to deep models to game dataset,"Noname manuscript No.
+(will be inserted by the editor)
+A Recursive Framework for Expression Recognition: From
+Web Images to Deep Models to Game Dataset
+Wei Li · Christina Tsangouri · Farnaz Abtahi · Zhigang Zhu
+Received: date / Accepted: date"

+df5fe0c195eea34ddc8d80efedb25f1b9034d07d,Robust modified Active Shape Model for automatic facial landmark annotation of frontal faces,"Robust Modified Active Shape Model for Automatic Facial Landmark
+Annotation of Frontal Faces
+Keshav Seshadri and Marios Savvides"

+dfc784c860795f4f9aa704b7655f6d1321018980,Unsupervised Co-Activity Detection from Multiple Videos Using Absorbing Markov Chain,"Unsupervised Co-activity Detection from
+Multiple Videos using Absorbing Markov Chain
+Donghun Yeo, Bohyung Han, Joon Hee Han
+Department of Computer Science and Engineering, POSTECH, Korea"

+df2494da8efa44d70c27abf23f73387318cf1ca8,Supervised Filter Learning for Representation Based Face Recognition,"RESEARCH ARTICLE
+Supervised Filter Learning for Representation
+Based Face Recognition
+Chao Bi1, Lei Zhang2, Miao Qi1, Caixia Zheng1, Yugen Yi3, Jianzhong Wang1*,
+Baoxue Zhang4*
+College of Computer Science and Information Technology, Northeast Normal University, Changchun,
+China, 2 Changchun Institute of Optics, Fine Mechanics and Physics, CAS, Changchun, China, 3 School of
+Software, Jiangxi Normal University, Nanchang, China, 4 School of Statistics, Capital University of
+Economics and Business, Beijing, China
+11111
+* (JW); (BZ)"

+df674dc0fc813c2a6d539e892bfc74f9a761fbc8,An Image Mining System for Gender Classification & Age Prediction Based on Facial Features,"IOSR Journal of Computer Engineering (IOSR-JCE)
+e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 10, Issue 6 (May. - Jun. 2013), PP 21-29
+www.iosrjournals.org
+An Image Mining System for Gender Classification & Age
+Prediction Based on Facial Features
+1.Ms.Dhanashri Shirkey  , 2Prof.Dr.S.R.Gupta,
+M.E(Scholar),Department Computer Science & Engineering, PRMIT & R, Badnera
+Asstt.Prof. Department Computer Science & Engineering, PRMIT & R, Badnera"

+da7ffe21508ad8d6dd9de7da378e184cb43a56c8,3D Landmark Localisation,"D Landmark Localisation
+Luke Gahan, Supervised by Prof. Paul F. Whelan"

+dab6921a578c9ded6904a5a18bdd054aee62d2ad,Learning to Recognize Faces by Successive Meetings,"Learning to recognize faces
+y successive meetings
+M. Castrill´on-Santana, O. D´eniz-Su´arez,
+J. Lorenzo-Navarro and M. Hern´andez-Tejera
+IUSIANI
+Edif. Ctral. del Parque Cient´ıfico Tecnol´ogico
+Universidad de Las Palmas de Gran Canaria
+Las Palmas de Gran Canaria, 35017
+Spain"

+dac07680925b6c56b7ddf184dbdaf143a5d4816d,Object Ordering with Bidirectional Matchings for Visual Reasoning,"Object Ordering with Bidirectional Matchings for Visual Reasoning
+Hao Tan and Mohit Bansal
+UNC Chapel Hill
+{haotan,"

+dad7b8be074d7ea6c3f970bd18884d496cbb0f91,Super-Sparse Regression for Fast Age Estimation from Faces at Test Time,"Super-Sparse Regression for Fast Age
+Estimation From Faces at Test Time
+Ambra Demontis, Battista Biggio, Giorgio Fumera, and Fabio Roli
+Dept. of Electrical and Electronic Engineering, University of Cagliari
+Piazza d’Armi, 09123 Cagliari, Italy
+WWW home page: http://prag.diee.unica.it"

+da523ee3b7e8077713ebb7d903c3dc3bcb78921a,Multi-person Tracking-by-Detection Based on Calibrated Multi-camera Systems,"Multi-Person Tracking-by-Detection based on
+Calibrated Multi-Camera Systems
+Xiaoyan Jiang, Erik Rodner, and Joachim Denzler
+Computer Vision Group Jena
+Friedrich Schiller University of Jena
+http://www.inf-cv.uni-jena.de"

+da288fca6b3bcaee87a034529da5621bb90123d1,Aesthetics and Emotions in Images,"[ Dhiraj Joshi,
+Ritendra Datta,
+Elena Fedorovskaya,
+Quang-Tuan Luong,
+James Z. Wang,
+Jia Li, and Jiebo Luo]
+PUBLICDOMAINPICTURES.NET &
+© BRAND X PICTURES
+[ A computational perspective]
+In this tutorial, we define and discuss key aspects of the problem of computational inference of aesthetics
+nd emotion from images. We begin with a background discussion on philosophy, photography, paintings,
+visual arts, and psychology. This is followed by introduction of a set of key computational problems that the
+research  community  has  been  striving  to  solve  and  the  computational  framework  required  for  solving
+them. We also describe data sets available for performing assessment and outline several real-world applica-
+tions where research in this domain can be employed. A significant number of papers that have attempted to
+solve problems in aesthetics and emotion inference are surveyed in this tutorial. We also discuss future direc-
+tions  that  researchers  can  pursue  and  make  a  strong  case  for  seriously  attempting  to  solve  problems  in  this
+research domain.
+Digital Object Identifier 10.1109/MSP.2011.941851
+Date of publication: 22 August 2011"

+dadb7ddfde3478238d23a8bacf5eddecc59e84c9,Vocabulary Image Captioning with Constrained Beam Search,"Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 947–956
+Copenhagen, Denmark, September 7–11, 2017. c(cid:13)2017 Association for Computational Linguistics
+image containing previously unseen object (‘suitcase’)CNN-RNNCaptioning ModelA catsitting insideofa suitcase.cat, suitcase, insideConstrainedBeamSearchBeamSearchA cat sitting on top ofa refrigerator.Image TagsFigure1:Wesuccessfullycaptionimagescontain-ingpreviouslyunseenobjectsbyincorporatingse-manticattributes(i.e.,imagetags)duringRNNde-coding.ActualexamplefromSection4.2.prisingly,modelstrainedonthesedatasetsdonotgeneralizewelltoout-of-domainimagescontain-ingnovelscenesorobjects(Tranetal.,2016).Thislimitationseverelyhinderstheuseofthesemodelsinrealworldapplicationsdealingwithim-agesinthewild.Althoughavailableimage-captiontrainingdataislimited,manyimagecollectionsareaugmentedwithground-truthtextfragmentssuchassemanticattributes(i.e.,imagetags)orobjectannotations.Eveniftheseannotationsdonotexist,theycanbegeneratedusing(potentiallytaskspecific)imagetaggers(Chenetal.,2013;Zhangetal.,2016)orobjectdetectors(Renetal.,2015;Krauseetal.,2016),whichareeasiertoscaletonewconcepts.Inthispaperourgoalistoincorporatetextfrag-mentssuchastheseduringcaptiongeneration,toimprovethequalityofresultingcaptions.Thisgoalposestwokeychallenges.First,RNNsaregenerallyopaque,anddifficulttoinfluenceattesttime.Second,textfragmentsmayincludewords"

+da55917aa3a8a95179bae92c5b01e4c8f2f61b75,What makes a place? Building bespoke place dependent object detectors for robotics,"What Makes a Place? Building Bespoke Place Dependent Object Detectors
+for Robotics
+Jeffrey Hawke, Alex Bewley, Ingmar Posner"

+da4170c862d8ae39861aa193667bfdbdf0ecb363,Multi-Task CNN Model for Attribute Prediction,"Multi-task CNN Model for Attribute Prediction
+Abrar H. Abdulnabi, Student Member, IEEE, Gang Wang, Member, IEEE, , Jiwen Lu, Member, IEEE
+nd Kui Jia, Member, IEEE"

+da013b84a93cc89d78f2d9a346fc275e3c159565,Affordable Self Driving Cars and Robots with Semantic Segmentation,"Affordable Self Driving Cars and Robots with Semantic Segmentation
+Gaurav Bansal
+Jeff Chen
+Evan Darke"

+dabf269f516adc6bf87a7ceb455cceda4466917a,Investigation of Facial Artifacts on Face Biometrics using Eigenface based Single and Multiple Neural Networks,"Investigation of Facial Artifacts on Face Biometrics
+using Eigenface based Single and Multiple Neural Networks
+K. Sundaraj
+University Malaysia Perlis (UniMAP)
+School of Mechatronics Engineering
+02600 Jejawi - Perlis
+MALAYSIA"

+da9080d5b433f73444078ac79c3a8a4515ad958e,IIS at ImageCLEF 2015: Multi-label Classification Task,"IIS at ImageCLEF 2015:
+Multi-label classification task
+Antonio J Rodr´ıguez-S´anchez1, Sabrina Fontanella1,2,
+Justus Piater1, and Sandor Szedmak1
+Intelligent and Interactive Systems, Department of Computer Science,
+University of Innsbruck, Austria
+Department of Computer Science, University of Salerno, Italy
+https://iis.uibk.ac.at/"

+da995212c9c8a933307cd893d862f5bf7d99f3ec,Synthesizing Samples for Zero-shot Learning,"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)
+EmbeddingSample EmbeddingElephantLionPandaMonkeyDolphinDog0.140.490.660.721.060.59Figure1:FrameworkofembeddingbasedZSLapproaches.occurfrequentlyenough,andthenewconceptsemergeev-erydayespeciallyintheWeb,whichmakesitdifficultandex-pensivetocollectandlabelasufficientlylargetrainingsetformodellearning[Changpinyoetal.,2016].Howtotraineffec-tiveclassificationmodelsfortheuncommonclasseswithoutusingthelabeledsamplesbecomesanimportantandpracti-calproblemandhasgatheredconsiderableresearchinterestsfromthemachinelearningandcomputervisioncommunities.Itisestimatedthathumanscanrecognizeapproximate30;000basicobjectcategoriesandmanymoresubordinateonesandtheyareabletoidentifynewclassesgivenanat-tributedescription[Lampertetal.,2014].Basedonthisob-servation,manyzero-shotlearning(ZSL)approacheshavebeenproposed[Akataetal.,2015;Romera-ParedesandTorr,2015;ZhangandSaligrama,2016a;Guoetal.,2017a].ThegoalofZSListobuildclassifiersfortargetunseenclassesgivennolabeledsamples,withclassattributesassidein-formationandfullylabeledsourceseenclassesasknowl-edgesource.Differentfrommanysupervisedlearningap-proacheswhichtreateachclassindependently,ZSLasso-ciatesclasseswithanintermediaryattributeorsemantics-paceandthentransfersknowledgefromthesourceseenclassestothetargetunseenclassesbasedontheassocia-tion.Inthisway,onlytheattributevectorofatarget(un-seen)classisrequiredandtheclassificationmodelcanbebuiltevenwithoutanylabeledsamplesforthisclass.Inparticular,anembeddingfunctionislearnedusingthela-beledsamplesofsourceseenclassesthatmapstheimagesandclassesintoacommonembeddingspacewherethedis-tanceorsimilaritybetweenthemcanbemeasured.Becausetheattributesaresharedbybothsourceandtargetclass-es,theembeddingfunctionlearnedbysourceclassescanbedirectlyappliedtotargetclasses[Farhadietal.,2009;Socheretal.,2013].Finally,givenatestimage,wemapit"

+da1ba46027b7236c937d276fb54e99906036c4ef,Using 3D Representations of the Nasal Region for Improved Landmarking and Expression Robust Recognition,"Using 3D Representations of the Nasal
+Region for Improved Landmarking and
+Expression Robust Recognition
+Jiangning Gao1
+Adrian N Evans1
+Department of Electronic and
+Electrical Engineering, University
+of Bath, Bath, UK, BA2 7AY."

+dac2103843adc40191e48ee7f35b6d86a02ef019,Unsupervised Celebrity Face Naming in Web Videos,"Unsupervised Celebrity Face Naming in Web Videos
+Lei Pang and Chong-Wah Ngo"

+dae420b776957e6b8cf5fbbacd7bc0ec226b3e2e,Recognizing Emotions in Spontaneous Facial Expressions,"RECOGNIZING EMOTIONS IN SPONTANEOUS FACIAL EXPRESSIONS
+Michael Grimm, Dhrubabrata Ghosh Dastidar, and Kristian Kroschel
+Institut f¨ur Nachrichtentechnik
+Universit¨at Karlsruhe (TH), Germany"

+da833d8ec9c91d55256effccd370b2e62a896ccb,Front-view Gait Recognition,"Front-view Gait Recognition
+Michela Goffredo, John N. Carter and Mark S. Nixon"

+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"

+da8d0855e7760e86fbec47a3cfcf5acd8c700ca8,F 2 ConText : How to Extract Holistic Contexts of Persons of Interest for Enhancing Exploratory Analysis,"Accepted on 15 Sep 2018. To appear in Knowledge and Information Systems.
+Under consideration for publication in Knowledge and Information Sys-
+F2ConText: How to Extract Holistic
+Contexts of Persons of Interest for
+Enhancing Exploratory Analysis
+Md Abdul Kader1, Arnold P. Boedihardjo2 and M. Shahriar Hossain3
+IBM Innovation Center, Austin, TX 78758
+Radiant Solutions, Herndon, VA 20171
+The University of Texas at El Paso, El Paso, TX 79968"

+da1e0b9e445493d3e6dc0e3c23be194228c5d796,Video Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting,"Video Segmentation using Teacher-Student Adaptation
+in a Human Robot Interaction (HRI) Setting
+Mennatullah Siam1, Chen Jiang1, Steven Lu1, Laura Petrich1,
+Mahmoud Gamal2, Mohamed Elhoseiny3, Martin Jagersand1"

+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"

+daef6fa60c7d79930ad0a341aab69f1f4fa80442,Supplement for BIER,"Supplement for BIER
+. Introduction
+In this document we provide further insights into Boost-
+ing Independent Embeddings Robustly (BIER). First, in
+Section 2 we describe our method for loss functions op-
+erating on triplets. Next, in Section 3 we show how our
+method behaves when we vary the embedding size and the
+number of groups. In Section 4 we summarize the effect of
+our boosting based training approach and our initialization
+pproach. We provide an experiment evaluating the impact
+of end-to-end training in Section 5. Further, in Section 6 we
+demonstrate that our method is applicable to generic im-
+ge classification problems. Finally, we show a qualitative
+omparison of the different embeddings in our ensemble in
+Section 7 and some qualitative results in Section 8.
+. BIER for Triplets
+For loss functions operating on triplets of samples, we
+illustrate our training method in Algorithm 1. In contrast
+to our tuple based algorithm, we sample triplets x(1), x(2)
+nd x(3) which satisfy the constraint that the first pair (x(1),"

+da24f3e196c5345ce08dfcc835574035da197f48,A Global Alignment Kernel based Approach for Group-level Happiness Intensity Estimation,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2017
+A Global Alignment Kernel based Approach for
+Group-level Happiness Intensity Estimation
+Xiaohua Huang, Abhinav Dhall, Roland Goecke, Member, IEEE, Matti Pietik¨ainen, Fellow, IEEE, and
+Guoying Zhao, Senior Member, IEEE"

+b49affdff167f5d170da18de3efa6fd6a50262a2,Linking Names and Faces : Seeing the Problem in Different Ways,"Author manuscript, published in ""Workshop on Faces in 'Real-Life' Images: Detection, Alignment, and Recognition, Marseille : France
+(2008)"""

+b4d117e109b3a6762d1b675defd9f2b228613ac1,Financialized methods for market-based multi-sensor fusion,"Congress Center Hamburg
+Sept 28 - Oct 2, 2015. Hamburg, Germany
+978-1-4799-9993-4/15/$31.00 ©2015 IEEE"

+b498640d8f0ac5a628563ff84dbef8d35d12a7ec,Overcoming catastrophic forgetting with hard attention to the task,"Overcoming Catastrophic Forgetting with Hard Attention to the Task
+Joan Serr`a 1 D´ıdac Sur´ıs 1 2 Marius Miron 1 3 Alexandros Karatzoglou 1"

+b4b6a0129bf6a716fca80a4cfc322687a72fa927,Automatic Generation of Planar Marionettes from Frontal Images,"Automatic Generation of Planar Marionettes from Frontal Images
+Elad Richardson and Gil Ben-Shachar
+Supervised by Anastasia Dubrovina and Aaron Weltzer"

+b4a3f480e2004bdc8106de2f772283101bb290d0,Multi-stage ranking approach for fast person re-identification,"IET Research Journals
+A Multi-Stage Ranking Approach for Fast Person Re-Identification
+A Multi-Stage Ranking Approach for Fast
+Person Re-Identification
+Bahram Lavi, Giorgio Fumera , Fabio Roli
+Department of Electrical and Electronic Engineering, University of Cagliari
+Piazza d’Armi, 09123, Cagliari, Italy
+E-mail:
+ISSN 1751-8644
+doi: 0000000000
+www.ietdl.org"

+b40881a905cf6c4963658df4f64b860f9b1755fe,Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation,"Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation
+Matan Sela
+Elad Richardson
+Ron Kimmel
+Department of Computer Science, Technion - Israel Institute of Technology
+Figure 1: Results of the proposed method. Reconstructed geometries are shown next to the corresponding input images."

+b4270de7380d305b4417f662686093c40d842da4,Graphical Models for Wide-Area Activity Analysis in Continuous Videos,"UNIVERSITY OF CALIFORNIA
+RIVERSIDE
+Graphical Models for Wide-Area Activity Analysis in Continuous Videos
+A Dissertation submitted in partial satisfaction
+of the requirements for the degree of
+Doctor of Philosophy
+Computer Science
+Nandita M. Nayak
+May 2014
+Dissertation Committee:
+Professor Amit K. Roy-Chowdhury, Chairperson
+Professor Christian Shelton
+Professor Eamonn Keogh
+Professor Victor Zordan"

+b49aa569ff63d045b7c0ce66d77e1345d4f9745c,Convolutional Neural Networks for Crop Yield Prediction using Satellite Images,"Convolutional Neural Networks for Crop Yield Prediction using Satellite Images
+H. Russello"

+b41374f4f31906cf1a73c7adda6c50a78b4eb498,Iterative Gaussianization: From ICA to Random Rotations,"This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.
+Iterative Gaussianization: From ICA to
+Random Rotations
+Valero Laparra, Gustavo Camps-Valls, Senior Member, IEEE, and Jesús Malo"

+b408b939c0f3be9cce0f84871a78a71d1684cd77,Identifying spatial relations in images using convolutional neural networks,"Identifying Spatial Relations in Images using
+Convolutional Neural Networks
+Mandar Haldekar, Ashwinkumar Ganesan
+Dept. Of Computer Science & Engineering,
+Tim Oates
+Dept. Of Computer Science & Engineering,
+UMBC,
+Baltimore, MD
+mandarh1,
+UMBC,
+Baltimore, MD"

+b44d8ecac21867c540d9122a150c8d8c0875cbe6,Mixture Density Generative Adversarial Networks,"Mixture Density Generative Adversarial Networks
+Hamid Eghbal-zadeh1 ∗
+Werner Zellinger2
+Gerhard Widmer1
+LIT AI Lab & Institute of Computational Perception
+Department of Knowledge-Based Mathematical Systems
+{hamid.eghbal-zadeh, werner.zellinger,
+Johannes Kepler University of Linz, Austria"

+b4b1b39f8902208bbd37febfb68e08809098036d,TRECVid Semantic Indexing of Video : A 6-year Retrospective,"UvA-DARE (Digital Academic Repository)
+TRECVid Semantic Indexing of Video: A 6-year Retrospective
+Awad, G.; Snoek, C.G.M.; Smeaton, A.F.; Quénot, G.
+Published in:
+ITE Transactions on Media Technology and Applications
+0.3169/mta.4.187
+Link to publication
+Citation for published version (APA):
+Awad, G., Snoek, C. G. M., Smeaton, A. F., & Quénot, G. (2016). TRECVid Semantic Indexing of Video: A 6-
+year Retrospective. ITE Transactions on Media Technology and Applications, 4(3), 187-208. DOI:
+0.3169/mta.4.187
+General rights
+It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s),
+other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons).
+Disclaimer/Complaints regulations
+If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating
+your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask
+the Library: http://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam,
+The Netherlands. You will be contacted as soon as possible.
+Download date: 02 Nov 2018"

+b4223cc72543656c28b55af1ffdabb1e47a0f2dd,Stacking with Auxiliary Features for Visual Question Answering,"New Orleans, Louisiana, June 1 - 6, 2018. c(cid:13)2018 Association for Computational Linguistics
+Proceedings of NAACL-HLT 2018, pages 2217–2226"

+b4fe9594e1de682e7270645ba95ab64727b6632e,Generative Adversarial Positive-Unlabelled Learning,"Generative Adversarial Positive-Unlabelled Learning
+Ming Hou1, Brahim Chaib-draa2, Chao Li1, Qibin Zhao1,
+Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan
+Department of Computer Science and Software Engineering, Laval University, Quebec, Canada"

+b4c02e071432a9a986501b7317b524f216e87ec8,Visual Saliency Prediction using Deep learning Techniques A Degree Thesis,"Visual Saliency Prediction
+using Deep learning Techniques
+A Degree Thesis
+Submitted to the Faculty of the
+Escola Tècnica d'Enginyeria de Telecomunicació de
+Barcelona
+Universitat Politècnica de Catalunya
+Junting Pan
+In partial fulfilment
+of the requirements for the degree in
+TELECOMUNICATION ENGINEERING
+Advisor: Xavier Giró i Nieto
+Barcelona, July 2015"

+b49425f78907fcc447d181eb713abffc74dd85e4,Sampling Matters in Deep Embedding Learning,"Sampling Matters in Deep Embedding Learning
+Chao-Yuan Wu∗
+UT Austin
+R. Manmatha
+A9/Amazon
+Alexander J. Smola
+Amazon
+Philipp Kr¨ahenb¨uhl
+UT Austin"

+b4ee64022cc3ccd14c7f9d4935c59b16456067d3,Unsupervised Cross-Domain Image Generation,"Unsupervised Cross-Domain Image Generation
+Xinru Hua, Davis Rempe, and Haotian Zhang"

+b45a9f95980c434582c920bf15a8099ec267c1f7,Robust Kronecker Component Analysis,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Robust Kronecker Component Analysis
+Mehdi Bahri, Student Member, IEEE, Yannis Panagakis, and Stefanos Zafeiriou, Member, IEEE"

+b4f6962068c27d10df9016090a0ca14f65f26b70,A Statisitical Shape Model for Deformable Surface Registration,"A STATISITICAL SHAPE MODEL FOR DEFORMABLE
+SURFACE REGISTRATION
+Wei Quan, Bogdan J. Matuszewski and Lik-Kwan Shark
+Applied Digital Signal and Image Processing (ADSIP) Research Centre
+University of Central Lancashire, Preston PR1 2HE, United Kingdom
+{wquan, bmatuszewski1,
+Keywords:
+Deformable Registration, Surface Matching, Shape Modelling and Face Articulation."

+b40290a694075868e0daef77303f2c4ca1c43269,Combining Local and Global Information for Hair Shape Modeling,"第 40 卷 第 4 期
+014 年 4 月
+自 动 化 学 报
+ACTA AUTOMATICA SINICA
+Vol. 40, No. 4
+April, 2014
+融合局部与全局信息的头发形状模型
+王 楠 1 艾海舟 1
+摘 要 头发在人体表观中具有重要作用, 然而, 因为缺少有效的形状模型, 头发分割仍然是一个非常具有挑战性的问题. 本
+文提出了一种基于部件的模型, 它对头发形状以及环境变化更加鲁棒. 该模型将局部与全局信息相结合以描述头发的形状. 局
+部模型通过一系列算法构建, 包括全局形状词表生成, 词表分类器学习以及参数优化; 而全局模型刻画不同的发型, 采用支持
+向量机 (Support vector machine, SVM) 来学习, 它为所有潜在的发型配置部件并确定势函数. 在消费者图片上的实验证明
+了本文算法在头发形状多变和复杂环境等条件下的准确性与有效性.
+关键词 头发形状建模, 部件模型, 部件配置算法, 支持向量机
+引用格式 王楠, 艾海舟. 融合局部与全局信息的头发形状模型. 自动化学报, 2014, 40(4): 615−623
+DOI 10.3724/SP.J.1004.2014.00615
+Combining Local and Global Information for Hair Shape Modeling
+WANG Nan1
+AI Hai-Zhou1"

+b4ee2a6b5fdf66f57e94a998cff2acef4af7d256,Monocular Visual Scene Understanding: Understanding Multi-Object Traffic Scenes,"Monocular Visual Scene Understanding:
+Understanding Multi-Object Traffic Scenes
+Christian Wojek, Stefan Walk, Stefan Roth, Konrad Schindler, Bernt Schiele"

+b419e0e1192d307d536421d811d10657f65eb72b,Face Recognition using DCT based Energy Discriminant Mask,"International Journal of Computer Applications (0975 – 8887)
+Volume 170 – No.5, July 2017
+Face Recognition using DCT based Energy
+Discriminant Mask
+Vikas Maheshkar
+Division of Information technology
+New Delhi, India"

+b47386e10125462d60d66f8d6d239a69c5966853,Robust Multi Gradient Entropy Method for Face Recognition System for Low Contrast Noisy Images,"International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
+Web Site: www.ijettcs.org Email:
+ISSN 2278-6856
+Volume 2, Issue 3, May – June 2013
+ROBUST MULTI GRADIENT ENTROPY
+METHOD FOR FACE RECOGNITION
+SYSTEM FOR LOW CONTRAST NOISY
+IMAGES
+C. Naga Raju1, P.Prathap Naidu2, R. Pradeep Kumar Reddy3, G. Sravana Kumari4
+Associate Professor, CSE Dept, YSR Engg College of YVU
+Asst. Professor, CSE Dept, RGM Engg College
+Asst. Professor, CSE Dept, YSR Engg College.
+M.Tech In CSE RGM Engg College
+the  most
+recognition  under  difficult"

+b47ea4d5b0040d85181925bda74da4ab5303768f,LIFEisGAME:A Facial Character Animation System to Help Recognize Facial Expressions,"LIFEisGAME:A Facial Character Animation System to
+Help Recognize Facial Expressions
+Tiago Fernandes1,5, Samanta Alves2, José Miranda3,5, Cristina Queirós2,
+Verónica Orvalho1,4
+Instituto de Telecomunicações, Lisboa, Portugal,
+Faculdade de Psicologia da Universidade do Porto, Porto, Portugal,
+Instituto Politécnico da Guarda, Porto, Portugal,
+Faculdade de Ciências da Universidade do Porto, Porto, Portugal,
+5 Faculdade de Engenharia da Universidade do Porto, Porto, Portugal,"

+b4b0bf0cbe1a2c114adde9fac64900b2f8f6fee4,Autonomous Learning Framework Based on Online Hybrid Classifier for Multi-view Object Detection in Video,"Autonomous Learning Framework Based on Online Hybrid
+Classifier for Multi-view Object Detection in Video
+Dapeng Luoa*Zhipeng Zenga Longsheng Weib Yongwen Liua Chen Luoc Jun Chenb Nong Sangd
+School of Electronic Information and Mechanics, China University of Geosciences, Wuhan, Hubei 430074, China
+School of Automation, China University of Geosciences, Wuhan, Hubei 430074, China
+Huizhou School Affiliated to Beijing Normal University, Huizhou 516002, China
+dNational Key Laboratory of Science and Technology on Multispectral Information Processing, School of Automation, Huazhong
+University of Science and Technology, Wuhan, 430074, China"

+b411850a3614fbb06bc77e6f776b2f23af563a90,Size Does Matter: Improving Object Recognition and 3D Reconstruction with Cross-Media Analysis of Image Clusters,"Size does matter: improving object recognition
+nd 3D reconstruction with cross-media analysis
+of image clusters
+Stephan Gammeter1, Till Quack1, David Tingdahl2, and Luc van Gool1,2
+BIWI, ETH Z¨urich1 http://www.vision.ee.ethz.ch
+VISICS, K.U. Leuven2 http://www.esat.kuleuven.be/psi/visics"

+a285b6edd47f9b8966935878ad4539d270b406d1,Facial Expression Recognition Based on Local Binary Patterns and Kernel Discriminant Isomap,"Sensors 2011, 11, 9573-9588; doi:10.3390/s111009573
+OPEN ACCESS
+sensors
+ISSN 1424-8220
+www.mdpi.com/journal/sensors
+Article
+Facial Expression Recognition Based on Local Binary Patterns
+nd Kernel Discriminant Isomap
+Xiaoming Zhao 1,* and Shiqing Zhang 2
+Department of Computer Science, Taizhou University, Taizhou 317000, China
+School of Physics and Electronic Engineering, Taizhou University, Taizhou 318000, China;
+E-Mail:
+*  Author to whom correspondence should be addressed; E-Mail:
+Tel.: +86-576-8513-7178; Fax: ++86-576-8513-7178.
+Received: 31 August 2011; in revised form: 27 September 2011 / Accepted: 9 October 2011 /
+Published: 11 October 2011"

+a2ad9ae7c5adbbce9ded16ac3ebdfa96505c0f46,Déjà Image-Captions: A Corpus of Expressive Descriptions in Repetition,"Human Language Technologies: The 2015 Annual Conference of the North American Chapter of the ACL, pages 504–514,
+Denver, Colorado, May 31 – June 5, 2015. c(cid:13)2015 Association for Computational Linguistics"

+a2359c0f81a7eb032cff1fe45e3b80007facaa2a,Towards Structured Analysis of Broadcast Badminton Videos,"Towards Structured Analysis of Broadcast Badminton Videos
+Anurag Ghosh
+Suriya Singh
+C.V.Jawahar
+{anurag.ghosh,
+CVIT, KCIS, IIIT Hyderabad"

+a28f831b4014fa75a69f3c56e39d9c40fc0af48f,AAD: Adaptive Anomaly Detection through traffic surveillance videos,"AAD: Adaptive Anomaly Detection through traffic
+surveillance videos
+Mohammad Farhadi Bajestani
+Seyed Soroush Heidari Rahmat Abadi
+Seyed Mostafa Derakhshandeh Fard
+Roozbeh Khodadadeh"

+a271f83cb1f72e0f9ca077499f51adb086fb449d,Unsupervised and Semi-supervised Methods for Human Action Analysis,"Unsupervised and
+Semi-supervised Methods
+for Human Action Analysis
+Simon Jones
+September 22, 2014
+A thesis submitted in partial fulfillment of the
+requirements for the degree of
+Doctor of Philosophy
+Department of Electronic and Electrical Engineering
+The University of Shef‌f‌ield"

+a290019f7125f6ebdc0dcec3b03b771de6905dd0,Heterogeneous AdaBoost with Real-time Constraints - Application to the Detection of Pedestrians by Stereovision,"HETEROGENEOUS ADABOOST WITH REAL-TIME
+Application to the Detection of Pedestrians by stereovision
+CONSTRAINTS
+Lo¨ıc Jourdheuil1, Nicolas Allezard1, Thierry Chateau2 and Thierry Chesnais1
+CEA, LIST, Laboratoire Vision et Ing´enierie des Contenus, Gif-sur-Yvette, France
+LASMEA, UMR UBP-CNRS 6602, 24 Avenue des Landais, AUBIERE, France
+{loic.jourdheuil, nicolas.allezard,
+Keywords:
+Adaboost. stereovision. real time."

+a24f84b156bbb1edeb1d0761f5940de318b7ed9d,Copula Eigenfaces - Semiparametric Principal Component Analysis for Facial Appearance Modeling,

+a2db611b6179f3bc4cfe0e891df7b9d4ab58d642,On the usability of deep networks for object-based image analysis,"ON THE USABILITY OF DEEP NETWORKS FOR OBJECT-BASED IMAGE ANALYSIS
+Nicolas Audeberta, b, Bertrand Le Sauxa, Sébastien Lefèvreb
+ONERA, The French Aerospace Lab, F-91761 Palaiseau, France
+Univ. Bretagne-Sud, UMR 6074, IRISA, F-56000 Vannes, France -
+KEY WORDS: deep learning, vehicle detection, semantic segmentation, object classification"

+a212be7ec1ff75ecfee52c7c49c73d7244a87eb7,Video Scene-Aware Dialog Track in DSTC 7,"Video Scene-Aware Dialog Track in DSTC7
+Chiori Hori∗, Tim K. Marks∗, Devi Parikh∗∗, and Dhruv Batra∗∗
+Mitsubishi Electric Research Laboratories
+Cambridge, MA, USA
+{chori,
+School of Interactive Computing
+Georgia Tech
+{parikh,"

+a2a42aa37641490213b2de9eb8e83f3dab75f5ed,Multilinear Supervised Neighborhood Preserving Embedding Analysis of Local Descriptor Tensor,"We are IntechOpen,
+the world’s leading publisher of
+Open Access books
+Built by scientists, for scientists
+,800
+16,000
+Open access books available
+International  authors and editors
+Downloads
+Our authors are among the
+Countries delivered to
+TOP 1%
+2.2%
+most cited scientists
+Contributors from top 500 universities
+Selection of our books indexed in the Book Citation Index
+in Web of Science™ Core Collection (BKCI)
+Interested in publishing with us?
+Contact
+Numbers displayed above are based on latest data collected."

+a2505774d5654685c6d899760759520b339e6c1e,Ranking Eigenfaces Through Adaboost and Perceptron Ensembles,"Ranking Eigenfaces Through Adaboost and
+Perceptron Ensembles
+Tiene A. Filisbino, Gilson A. Giraldi
+Laborat´orio Nacional de Computac¸˜ao Cient´ıfica - LNCC
+Petr´opolis, Brasil
+Email:
+Carlos Eduardo Thomaz
+Departamento de Engenharia El´etrica
+Centro Universit´ario da FEI
+S˜ao Bernardo do Campo - Brasil
+Email:"

+a2bfab80a4b48717aa647cb38069632c5962c6a6,Countering Bias in Tracking Evaluations,

+a27735e4cbb108db4a52ef9033e3a19f4dc0e5fa,Intention from Motion,"Intention from Motion
+Andrea Zunino, Jacopo Cavazza, Atesh Koul, Andrea Cavallo, Cristina Becchio and Vittorio Murino"

+a2aa272b32c356ec9933b32ca5809c09f2d21b9f,Clockwork Convnets for Video Semantic Segmentation,"Clockwork Convnets for Video Semantic Segmentation
+Evan Shelhamer(cid:63)
+Kate Rakelly(cid:63)
+Judy Hoffman(cid:63)
+Trevor Darrell
+UC Berkeley"

+a2f2996145d3d670608af1cbbda59c1ac28d4f7c,Real-Time Hand Posture Recognition for Human-Robot Interaction Tasks,"Article
+Real-Time Hand Posture Recognition for
+Human-Robot Interaction Tasks
+Uriel Haile Hernandez-Belmonte and Victor Ayala-Ramirez *
+Received: 30 October 2015; Accepted: 18 December 2015; Published: 4 January 2016
+Academic Editor: Lianqing Liu
+Universidad de Guanajuato DICIS, Carr. Salamanca-Valle Km. 3.5 + 1.8, Palo Blanco, Salamanca, C.P. 36885,
+Mexico;
+* Correspondence: Tel.: +52-464-647-9940 (ext. 2413); Fax: +52-464-647-9940 (ext. 2311)"

+a27740f8a3834d6bc605a6b383c4d802ced373c9,"Exploiting feature representations through similarity learning, post-ranking and ranking aggregation for person re-identification","Exploiting feature representations through similarity learning, post-ranking and
+ranking aggregation for person re-identification
+Julio C. S. Jacques Juniora,b,∗, Xavier Bar´oa,b, Sergio Escalerac,b
+Faculty of Computer Science, Multimedia and Telecommunication - Universitat Oberta de Catalunya, Spain
+Computer Vision Center - Universitat Aut`onoma de Barcelona, Spain
+Department of Mathematics and Informatics - University of Barcelona, Spain"

+a27c7afac5a34141ec5415defed6d4d85325230a,Utrecht Multi-Person Motion (UMPM) benchmark,"Utrecht Multi-Person Motion (UMPM)
+enchmark
+N.P. van der Aa, X. Luo, G.-J. Giezeman
+R.T. Tan, R.C. Veltkamp
+Technical Report UU-CS-2011-027
+September 2011
+Department of Information and Computing Sciences
+Utrecht University, Utrecht, The Netherlands
+www.cs.uu.nl"

+a2afaa782be91f5baf9e9f1794d57dd29143cbf4,IGCV$2$: Interleaved Structured Sparse Convolutional Neural Networks,"IGCV2: Interleaved Structured Sparse Convolutional Neural Networks
+Guotian Xie1,2,∗ Jingdong Wang3 Ting Zhang3
+Jianhuang Lai1,2 Richang Hong4 Guo-Jun Qi5
+Sun Yat-Sen University 2Guangdong Key Laboratory of Information Security Technology
+Microsoft Research 4Hefei University of Technology 5University of Central Florida"

+a2fce1c551a3c3b1cac16a96f86a59cd7fbd4c80,Attachment and Children’s Biased Attentional Processing: Evidence for the Exclusion of Attachment-Related Information,"Attachment and Children’s Biased Attentional
+Processing: Evidence for the Exclusion of Attachment-
+Related Information
+Eva Vandevivere1*, Caroline Braet1, Guy Bosmans2, Sven C. Mueller3, Rudi De Raedt3
+Department of Developmental, Personality and Social Psychology, Ghent University, Gent, Belgium, 2 Parenting and Special Education Research Unit, Leuven, Belgium,
+Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium"

+a237e3d89c460e1b2e3f12c5d4275bd0c6eb47a8,Domain Adaptation on Graphs by Learning Aligned Graph Bases,"Domain Adaptation on Graphs by Learning
+Aligned Graph Bases
+Mehmet Pilancı and Elif Vural"

+a2b9c998264ab1920ea8f2e07c3590ebb3dc6f35,Shopper Analytics: A Customer Activity Recognition System Using a Distributed RGB-D Camera Network,"Shopper Analytics: a customer activity
+recognition system using a distributed RGB-D
+amera network
+Daniele Liciotti, Marco Contigiani, Emanuele Frontoni, Adriano Mancini,
+Primo Zingaretti1, and Valerio Placidi2
+Dipartimento di Ingegneria dell’Informazione, Universit`a Politecnica delle Marche,
+{d.liciotti, m.contigiani,e.frontoni, a.mancini,
+Via Brecce Bianche, 60131 Ancona, Italy,
+Grottini Lab srl,
+Via S.Maria in Potenza, 62017, Porto Recanati, Italy,"

+a2fbaa0b849ecc74f34ebb36d1442d63212b29d2,An Efficient Approach to Face Recognition of Surgically Altered Images,"Volume 5, Issue 6, June 2015                                           ISSN: 2277 128X
+International Journal of Advanced Research in
+Computer Science and Software Engineering
+Research Paper
+Available online at: www.ijarcsse.com
+An Efficient Approach to Face Recognition of Surgically
+Altered Images
+Er. Supriya, Er. Sukhpreet Kaur
+Department of computer science and engineering
+SUS college of Engineering and Technology,
+Tangori, District, Mohali, Punjab, India"

+a21b8aadb27cd10d8a228fe1aad27c0c88d67f15,Design and Implementation of PC Operated Flying Robot for Rescue Operation in Coalmines,"ISSN: 2278 – 7798
+International Journal of Science, Engineering and Technology Research (IJSETR)
+Volume 2, Issue 1, January 2013
+Design and Implementation of PC Operated
+Flying Robot for Rescue Operation in
+Coalmines
+Aditya Kumar T , Pravin A, M S Madhan mohan, T V Janardhanarao"

+a23e7e71fb92a56c2e7717f6356e8b69fc2f4bfc,"Multimodal fusion of audio, scene, and face features for first impression estimation","Multimodal Fusion of Audio, Scene, and Face
+Features for First Impression Estimation
+Furkan G¨urpınar
+Program of Computational
+Science and Engineering
+Bo˘gazic¸i University
+Bebek, Istanbul, Turkey
+Email:
+Heysem Kaya
+Albert Ali Salah
+Department of Computer Engineering
+Department of Computer Engineering
+Namık Kemal University
+C¸ orlu, Tekirda˘g, Turkey
+Email:
+Bo˘gazic¸i University
+Bebek, Istanbul, Turkey
+Email:"

+a2dd13729206a7434ef1f0cd016275c0d6f3bb6d,SFV: Reinforcement Learning of Physical Skills from Videos,"SFV: Reinforcement Learning of Physical Skills from Videos
+XUE BIN PENG, University of California, Berkeley
+ANGJOO KANAZAWA, University of California, Berkeley
+JITENDRA MALIK, University of California, Berkeley
+PIETER ABBEEL, University of California, Berkeley
+SERGEY LEVINE, University of California, Berkeley
+Fig. 1. Simulated characters performing highly dynamic skills learned by imitating video clips of human demonstrations. Left: Humanoid performing
+artwheel B on irregular terrain. Right: Backflip A retargeted to a simulated Atlas robot.
+Data-driven character animation based on motion capture can produce
+highly naturalistic behaviors and, when combined with physics simula-
+tion, can provide for natural procedural responses to physical perturbations,
+environmental changes, and morphological discrepancies. Motion capture
+remains the most popular source of motion data, but collecting mocap data
+typically requires heavily instrumented environments and actors. In this
+paper, we propose a method that enables physically simulated characters
+to learn skills from videos (SFV). Our approach, based on deep pose esti-
+mation and deep reinforcement learning, allows data-driven animation to
+leverage the abundance of publicly available video clips from the web, such
+s those from YouTube. This has the potential to enable fast and easy de-
+sign of character controllers simply by querying for video recordings of the"

+a50b4d404576695be7cd4194a064f0602806f3c4,Efficiently Estimating Facial Expression and Illumination in Appearance-based Tracking,"In Proceedings of BMVC, Edimburgh, UK, September 2006
+Efficiently estimating facial expression and
+illumination in appearance-based tracking
+Jos´e M. Buenaposada†, Enrique Mu˜noz‡, Luis Baumela‡
+ESCET, U. Rey Juan Carlos
+C/ Tulip´an, s/n
+8933 M´ostoles, Spain
+Facultad Inform´atica, UPM
+Campus de Montegancedo s/n
+8660 Boadilla del Monte, Spain
+http://www.dia.fi.upm.es/~pcr"

+a511463a423f842bdb524009f6ce6c6b0ffa0f77,Kernel diff-hash,"Kernel diff-hash
+Michael M. Bronstein
+Institute of Computational Science
+Faculty of Informatics,
+Universit`a della Svizzera Italiana
+Via G. Buf‌f‌i 13, Lugano 6900, Switzerland
+November 3, 2011"

+a5e5094a1e052fa44f539b0d62b54ef03c78bf6a,Detection without Recognition for Redaction,"Detection without Recognition for Redaction
+Shagan Sah1, Ram Longman1, Ameya Shringi1, Robert Loce2, Majid Rabbani1, and Raymond Ptucha1
+Rochester Institute of Technology - 83 Lomb Memorial Drive, Rochester, NY USA, 14623
+Conduent, Conduent Labs - US, 800 Phillips Rd, MS128, Webster, NY USA, 14580
+Email:"

+a55dea7981ea0f90d1110005b5f5ca68a3175910,"Are 1, 000 Features Worth A Picture? Combining Crowdsourcing and Face Recognition to Identify Civil War Soldiers","Combining Crowdsourcing and Face Recognition to Identify Civil War Soldiers
+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"

+a5c63f38e2e6ca7fff48fc5cd1dbdb8f6362c99f,A Neural Approach to Blind Motion Deblurring,"A Neural Approach to Blind Motion Deblurring
+Ayan Chakrabarti
+Toyota Technological Institute at Chicago"

+a55ec6bade29f23f8cb1337edf417b2da2f48695,Deep Asymmetric Networks with a Set of Node-wise Variant Activation Functions,"Deep Asymmetric Networks with a Set of
+Node-wise Variant Activation Functions
+Jinhyeok Jang, Hyunjoong Cho, Jaehong Kim, Jaeyeon Lee, and Seungjoon Yang"

+a5be204b71d1daaf6897270f2373d1a5e37c3010,Improving Spatiotemporal Self-supervision by Deep Reinforcement Learning,"Improving Spatiotemporal Self-Supervision
+y Deep Reinforcement Learning
+Uta B¨uchler(cid:63), Biagio Brattoli(cid:63), and Bj¨orn Ommer
+Heidelberg University, HCI / IWR, Germany"

+a56c1331750bf3ac33ee07004e083310a1e63ddc,Efficient Point-to-Subspace Query in ℓ1 with Application to Robust Object Instance Recognition,"Vol. xx, pp. x
+(cid:13) xxxx Society for Industrial and Applied Mathematics
+Ef‌f‌icient Point-to-Subspace Query in (cid:96)1 with Application to Robust Object
+Instance Recognition
+Ju Sun∗, Yuqian Zhang†, and John Wright‡"

+a5006c29b0609296b5c1368ff1113eeb12b119ad,In-flight launch of unmanned aerial vehicles,"In-flight launch of unmanned aerial vehicles
+Niels Nauwynck, Haris Balta, Geert De Cubber, and Hichem Sahli"

+a59e338fec32adee012e31cdb0513ec20d6c8232,Phase Retrieval Under a Generative Prior,"Phase Retrieval Under a Generative Prior
+Paul Hand∗, Oscar Leong∗, and Vladislav Voroninski†
+July 12, 2018"

+a565990d6b176bf9c82eec9354b0936fb141e631,Scheduling on Heterogeneous Multi-core Processors Using Stable Matching Algorithm,"(IJACSA) International Journal of Advanced Computer Science and Applications,
+Vol. 7, No. 6, 2016
+Scheduling on Heterogeneous Multi-core Processors
+Using Stable Matching Algorithm
+Muhammad  Rehman  Zafar
+Department  of  Computer  Science
+Bahria  University
+Islamabad,  Pakistan
+Muhammad  Asfand-e-Yar
+Department  of  Computer  Science
+Bahria  University
+Islamabad,  Pakistan"

+a54e0f2983e0b5af6eaafd4d3467b655a3de52f4,Face Recognition Using Convolution Filters and Neural Networks,"Face Recognition Using Convolution Filters and
+Neural Networks
+V. Rihani
+Head, Dept. of E&E,PEC
+Sec-12, Chandigarh – 160012
+Amit Bhandari
+Department of CSE & IT, PEC
+Sec-12, Chandigarh – 160012
+C.P. Singh
+Physics Department, CFSL,
+Sec-36, Chandigarh - 160036
+to:  (a)
+potential  method"

+a52d6daf72281521ee99dabd82cd80093e8d6f4a,Person re-identification across different datasets with multi-task learning,"Person re-identification across different datasets
+with multi-task learning
+Matthieu Ospici, Antoine Cecchi
+Atos BDS R&D"

+a5625cfe16d72bd00e987857d68eb4d8fc3ce4fb,VFSC: A Very Fast Sparse Clustering to Cluster Faces from Videos,"VFSC: A Very Fast Sparse Clustering to Cluster Faces
+from Videos
+Dinh-Luan Nguyen, Minh-Triet Tran
+University of Science, VNU-HCMC, Ho Chi Minh city, Vietnam"

+a5da6a6d4243a89e974a6467cb5c6df6d914a946,Static and Dynamic Approaches for Pain Intensity Estimation using Facial Expressions,

+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)"

+a5531b5626c1ee3b6f9aed281a98338439d06d12,Multichannel Attention Network for Analyzing Visual Behavior in Public Speaking,"Multichannel Attention Network for Analyzing
+Visual Behavior in Public Speaking
+Rahul Sharma, Tanaya Guha and Gaurav Sharma
+IIT Kanpur
+{rahus, tanaya,"

+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"

+a577eefb31ba63baa087f321537b0be2784ec013,Security Event Recognition for Visual Surveillance,"Security Event Recognition for Visual Surveillance
+Michael Ying Yang∗, Senior Member, IEEE, Wentong Liao, Chun Yang, Yanpeng Cao, Member, IEEE and Bodo
+Rosenhahn Member, IEEE"

+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
+Ashish Tawari, Student Member, IEEE, Sujitha Martin, Student Member, IEEE, and
+Mohan Manubhai Trivedi, Fellow, IEEE"

+a51d5c2f8db48a42446cc4f1718c75ac9303cb7a,Cross-validating Image Description Datasets and Evaluation Metrics,"Cross-validating Image Description Datasets and Evaluation Metrics
+Josiah Wang and Robert Gaizauskas
+Department of Computer Science
+University of Sheffield, UK
+{j.k.wang,"

+a52d9e9daf2cb26b31bf2902f78774bd31c0dd88,Understanding and Designing Convolutional Networks for Local Recognition Problems,"Understanding and Designing Convolutional Networks
+for Local Recognition Problems
+Jonathan Long
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2016-97
+http://www.eecs.berkeley.edu/Pubs/TechRpts/2016/EECS-2016-97.html
+May 13, 2016"

+a52d6c456122007f10c90989a1e81dc8e1c599da,Query-Adaptive Image Search With Hash Codes,"Query-Adaptive Image Search with Hash Codes
+Yu-Gang Jiang, Jun Wang, Member, IEEE, Xiangyang Xue, Member, IEEE, Shih-Fu Chang, Fellow, IEEE"

+a5a44a32a91474f00a3cda671a802e87c899fbb4,Moments in Time Dataset: one million videos for event understanding,"Moments in Time Dataset: one million
+videos for event understanding
+Mathew Monfort, Bolei Zhou, Sarah Adel Bargal,
+Alex Andonian, Tom Yan, Kandan Ramakrishnan, Lisa Brown,
+Quanfu Fan, Dan Gutfruend, Carl Vondrick, Aude Oliva"

+bd0e100a91ff179ee5c1d3383c75c85eddc81723,Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection,"Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action
+Detection∗
+Mohammadamin Barekatain1, Miquel Mart´ı2,3, Hsueh-Fu Shih4, Samuel Murray2, Kotaro Nakayama5,
+Yutaka Matsuo5, Helmut Prendinger6
+Technical University of Munich, Munich, 2KTH Royal Institute of Technology, Stockholm,
+Polytechnic University of Catalonia, Barcelona, 4National Taiwan University, Taipei, 5University of
+Tokyo, Tokyo, 6National Institute of Informatics, Tokyo"

+bd07d1f68486052b7e4429dccecdb8deab1924db,Face representation under different illumination conditions,

+bd96c3af9c433b4eaf95c8a28f072e1b0fc2de1a,A Study on Facial Expression Recognition Model using an Adaptive Learning Capability,"We are IntechOpen,
+the world’s leading publisher of
+Open Access books
+Built by scientists, for scientists
+,800
+16,000
+Open access books available
+International  authors and editors
+Downloads
+Our authors are among the
+Countries delivered to
+TOP 1%
+2.2%
+most cited scientists
+Contributors from top 500 universities
+Selection of our books indexed in the Book Citation Index
+in Web of Science™ Core Collection (BKCI)
+Interested in publishing with us?
+Contact
+Numbers displayed above are based on latest data collected."

+bdb74f1b633b2c48d5e9d101e09bad2db8d68be6,Chapter 1 . Medical Image Annotation (,"Chapter 1
+Medical image annotation 1
+Thanks to the rapid development of modern medical devices and the use of
+digital systems, more and more medical images are being generated. This
+has lead to an increase in the demand for automatic methods to index, com-
+pare, analyze and annotate them. Until 2005, automatic categorization of
+medical images was often restricted to a small number of classes. The Image-
+CLEF medical image annotation challenge was born in this scenario, propos-
+ing a task reflecting real life constraints of content based image classification
+in medical applications. In this chapter we report about our experience first
+s participants, then as co-organizers. This research activity started in 2007,
+supported by a 1-year IM2 fellowship. By leveraging over the initial IM2
+support, in 2008 a 4-year project started (EMMA, Enhanced Multimodal
+Medical data Access), sponsored by the Halser foundation. Since 2009, B.
+Caputo has been an ImageCLEF task organizers, respectively for the medi-
+al annotation and robot vision tasks. Since 2013, she is main organizer of
+ImageCLEF.
+Introduction
+This chapter presents the algorithms and results of the Idiap team partici-
+pation to the ImageCLEFmed annotation task in 2007, 2008 and 2009. The"

+bdbf414a2059d542f501ad9b1d21eacc9831082b,Two-Layer Mixture Network Ensemble for Apparel Attributes Classification,"Two-Layer Mixture Network Ensemble for Apparel
+Attributes Classification
+Tianqi Han, Zhihui Fu, and Hongyu Li*
+AI Lab, ZhongAn Information Technology Service Co., Ltd.
+Shanghai, China"

+bdf64dd341925ea7b9b3abbb49cab3cf978f8e21,Probable Etiopathogenesis (samprapti) of Autism in Frame of Ayurveda in Relation to Intense World Theory,"Global J Res. Med. Plants & Indigen. Med. | Volume 2, Issue 6 | June 2013 | 448–459
+ISSN 2277-4289 | www.gjrmi.com | International, Peer reviewed, Open access, Monthly Online Journal
+Review article
+PROBABLE ETIOPATHOGENESIS (SAMPRAPTI) OF AUTISM IN FRAME
+OF AYURVEDA IN RELATION TO INTENSE WORLD THEORY
+Yadav Deepmala1*, Behera Banshidhar2, Kumar Abhimanyu3
+Asst.Professor, Dept. of Kaumarbhritya, M.S.M. Institute of Ayurveda, Khanpur kalan, Haryana-131305,
+India
+Lecturer, Dept. of Dravyaguna, Gaur Brahman Ayurvedic College, Rohtak, Haryana – 124001, India
+Director, All India Institute of Ayurveda, Gautampuri, Mathura road, Sarita Vihar, New Delhi-110076,
+India
+*Corresponding Author: E-mail: Mob +919414893921, +919414458895
+Received: 10/05/2013; Revised: 26/05/2013; Accepted: 30/05/2013"

+bda61e9bcf02d02f61882790dbbdad8e4fed0986,Face Recognition through Combined SVD and LBP Features,"Face Recognition through Combined SVD and LBP
+International Journal of Computer Applications (0975 – 8887)
+Volume 88 – No.9, February 2014
+Features
+Rahul Kumar Mittal
+M.Tech. Scholar
+BGIET, Sangrur
+Punjab (India)
+Anupam Garg
+Assistant Professor
+BGIET, Sangrur
+Punjab (India)"

+bd13f50b8997d0733169ceba39b6eb1bda3eb1aa,Occlusion Coherence: Detecting and Localizing Occluded Faces,"Occlusion Coherence: Detecting and Localizing Occluded Faces
+Golnaz Ghiasi, Charless C. Fowlkes
+University of California at Irvine, Irvine, CA 92697"

+bd78a853df61d03b7133aea58e45cd27d464c3cf,A Sparse Representation Approach to Facial Expression Recognition Based on LBP plus LFDA,"A Sparse Representation Approach to Facial
+Expression Recognition Based on LBP plus LFDA
+Ritesh Bora, V.A.Chakkarvar
+Computer science and Engineering Department,
+Government College of Engineering, Aurangabad [Autonomous]
+Station Road, Aurangabad, Maharashtra, India."

+bd17d6ba5525dec8762dbaacf6cc3e0cc3f5ff90,Necst: Neural Joint Source-channel Coding,"Under review as a conference paper at ICLR 2019
+NECST: NEURAL JOINT SOURCE-CHANNEL CODING
+Anonymous authors
+Paper under double-blind review"

+bd88bb2e4f351352d88ee7375af834360e223498,A Multi - camera video data set for research on High - Definition surveillance,"HDA dataset - DRAFT
+A Multi-camera video data set for research on
+High-Definition surveillance
+Athira Nambiar, Matteo Taiana, Dario Figueira,
+Jacinto Nascimento and Alexandre Bernardino
+Computer and Robot Vision Lab, Institute for Systems and Robotics
+Instituto Superior Técnico
+Lisbon, Portugal"

+bd2d7c7f0145028e85c102fe52655c2b6c26aeb5,Attribute-based People Search: Lessons Learnt from a Practical Surveillance System,"Attribute-based People Search: Lessons Learnt from a
+Practical Surveillance System
+Rogerio Feris
+IBM Watson
+http://rogerioferis.com
+Russel Bobbitt
+IBM Watson
+Lisa Brown
+IBM Watson
+Sharath Pankanti
+IBM Watson"

+bd0a6bea1985ece3388b1dae47fa76aab3562d6d,One Deep Music Representation to Rule Them All? : A comparative analysis of different representation learning strategies,"Noname manuscript No.
+(will be inserted by the editor)
+One Deep Music Representation to Rule Them All?
+A comparative analysis of different representation learning strategies
+Jaehun Kim · Juli´an Urbano ·
+Cynthia C. S. Liem · Alan Hanjalic
+Received: date / Accepted: date"

+bd2752acf6821282655933d1946f43bb4ac5e901,Flexible Network Binarization with Layer-wise Priority,"Flexible Network Binarization with Layer-wise Priority
+Lixue Zhuang*, Yi Xu*, Bingbing Ni*, Hongteng Xu†
+Shanghai Jiao Tong University*, Duke University†
+{qingliang, xuyi,"

+bdbba95e5abc543981fb557f21e3e6551a563b45,Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks,"Vol. 17, No. 2 (2018) 1850008 (15 pages)
+#.c The Author(s)
+DOI: 10.1142/S1469026818500086
+Speeding up the Hyperparameter Optimization of Deep
+Convolutional Neural Networks
+Tobias Hinz*, Nicolas Navarro-Guerrero†, Sven Magg‡
+nd Stefan Wermter§
+Knowledge Technology, Department of Informatics
+Universit€at Hamburg
+Vogt-K€olln-Str. 30, Hamburg 22527, Germany
+Received 15 August 2017
+Accepted 23 March 2018
+Published 18 June 2018
+Most learning algorithms require the practitioner to manually set the values of many hyper-
+parameters before the learning process can begin. However, with modern algorithms, the
+evaluation of a given hyperparameter setting can take a considerable amount of time and the
+search space is often very high-dimensional. We suggest using a lower-dimensional represen-
+tation of the original data to quickly identify promising areas in the hyperparameter space. This
+information can then be used to initialize the optimization algorithm for the original, higher-
+dimensional data. We compare this approach with the standard procedure of optimizing the"

+d1dfdc107fa5f2c4820570e369cda10ab1661b87,Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation,"Super SloMo: High Quality Estimation of Multiple Intermediate Frames
+for Video Interpolation
+Huaizu Jiang1
+Deqing Sun2
+Varun Jampani2
+Ming-Hsuan Yang3,2
+Erik Learned-Miller1
+Jan Kautz2
+UMass Amherst
+NVIDIA 3UC Merced"

+d19df82c5ea644937bf182fabdc0e36e78ea6867,Emotional Facial Expression Recognition from Two Different Feature Domains,"EMOTIONAL FACIAL EXPRESSION RECOGNITION FROM TWO
+DIFFERENT FEATURE DOMAINS
+Jonghwa Kim and Frank Jung
+Institute of Computer Science, University of Augsburg, Germany
+Keywords:"

+d168c2bd29fcad2083586430dd76f54da69bc8a6,Person Re-Identification by Iterative Re-Weighted Sparse Ranking,"Person Re-Identification by Iterative
+Re-Weighted Sparse Ranking
+Giuseppe Lisanti, Iacopo Masi, Andrew D. Bagdanov, Member, IEEE, and
+Alberto Del Bimbo, Member, IEEE"

+d1dae2993bdbb2667d1439ff538ac928c0a593dc,Gamma Correction Technique Based Feature Extraction for Face Recognition System,"International Journal of Computational Intelligence and Informatics, Vol. 3: No. 1, April - June 2013
+Gamma Correction Technique Based Feature Extraction
+for Face Recognition System
+B Vinothkumar
+P Kumar
+Electronics and Communication Engineering
+K S Rangasamy College of Technology
+Electronics and Communication Engineering
+K S Rangasamy College of Technology
+Tamilnadu, India
+Tamilnadu, India"

+d1dd0c714950cbd89f76ec6b039201eadf74cade,Person Re-identification Using Robust Brightness Transfer Functions Based on Multiple Detections,"Person Re-identification Using Robust
+Brightness Transfer Functions Based
+on Multiple Detections
+Amran Bhuiyan(B), Behzad Mirmahboub, Alessandro Perina,
+nd Vittorio Murino
+Pattern Analysis and Computer Vision (PAVIS),
+Istituto Italiano di Tecnologia, Genova, Italy"

+d1503151b39038a87acbd9ecce073ddc211a597d,Efficient Semantic Segmentation using Gradual Grouping,"Efficient Semantic Segmentation using Gradual Grouping
+Nikitha Vallurupalli1, Sriharsha Annamaneni1, Girish Varma1,
+C V Jawahar1, Manu Mathew2, Soyeb Nagori2
+Center for Visual Information Technology, Kohli Center on Intelligent Systems, IIIT-Hyderabad, India
+Texas Instruments, Bangalore, India"

+d1a0425f764ce8847d20d278e4a4267c8258c4dc,3D Human Pose Estimation with Siamese Equivariant Embedding,"D Human Pose Estimation with Siamese Equivariant
+Embedding
+M´arton V´egesa,∗, Viktor Vargaa, Andr´as L˝orincza
+E¨otv¨os Lor´and University, Budapest, Hungary"

+d1295a93346411bb833305acc0e092c9e3b2eff1,The eMPaThy iMBalance hyPoThesis oF aUTisM : a TheoReTical aPPRoach To cogniTiVe and eMoTional eMPaThy in aUTisTic deVeloPMenT,"the Psychological record, 2009, 59, 489-510
+The eMPaThy iMBalance hyPoThesis oF aUTisM:
+TheoReTical aPPRoach To cogniTiVe and
+eMoTional eMPaThy in aUTisTic deVeloPMenT
+Adam Smith
+Dundee, Scotland
+There has been a widely held belief that people with autism spectrum disorders
+lack empathy. This article examines the empathy imbalance hypothesis (EIH) of
+utism. According to this account, people with autism have a deficit of cognitive
+empathy but a surfeit of emotional empathy. The behavioral characteristics of
+utism might be generated by this imbalance and a susceptibility to empathic
+overarousal.  The  EIH  builds  on  the  theory  of  mind  account  and  provides  an
+lternative to the extreme-male-brain theory of autism. Empathy surfeit is a re-
+urrent theme in autistic narratives, and empirical evidence for the EIH is grow-
+ing. A modification of the pictorial emotional Stroop paradigm could facilitate
+n experimental test of the EIH.
+Autism is a pervasive developmental disorder that continues to fascinate
+researchers,  challenge  clinicians,  and  distress  affected  families.  empathy
+is  a  set  of  processes  and  outcomes  at  the  heart  of  human  social  behavior.
+Fascination with autism is often interwoven with the study of empathy because"

+d1e66107eb084ea0ef5a97f3363f8787b8df91ed,Max-Margin Regularization for Reducing Accidentalness in Chamfer Matching,"Max-margin Regularization for Reducing
+Accidentalness in Chamfer Matching
+Angela Eigenstetter*, Pradeep Yarlagadda* and Bj¨orn Ommer
+Interdisciplinary Center for Scientific Computing, University of Heidelberg, Germany"

+d12c343e60f9cc1a0c6c94c138f38e6bffe22001,Diverse Sampling for Self-Supervised Learning of Semantic Segmentation,"Diverse Sampling for Self-Supervised Learning of Semantic Segmentation
+Mohammadreza Mostajabi ∗
+Nicholas Kolkin ∗
+Toyota Technological Institute at Chicago
+{mostajabi, nick.kolkin,
+Gregory Shakhnarovich"

+d1c103c63d930d3ae7397618f486117a48e35f16,Does gaze direction modulate facial expression processing in children with autism spectrum disorder?,"BIROn - Birkbeck Institutional Research Online
+Enabling open access to Birkbeck’s published research output
+Does gaze direction modulate facial expression
+processing in children with autism spectrum disorder?
+Journal Article
+http://eprints.bbk.ac.uk/2561
+Version: Accepted (Refereed)
+Citation:
+© 2009 Wiley Blackwell
+Publisher version
+______________________________________________________________
+All articles available through Birkbeck ePrints are protected by intellectual property law, including
+opyright law. Any use made of the contents should comply with the relevant law.
+______________________________________________________________
+Akechi, H.; Senju, A.; Kikuchi, Y.; Tojo, Y.; Osanai, H.; Hasegawa, T.
+(2009)
+Does gaze direction modulate facial expression processing in children
+with autism spectrum disorder?
+Deposit Guide
+Contact:"

+d1f58798db460996501f224fff6cceada08f59f9,Transferrable Representations for Visual Recognition,"Transferrable Representations for Visual Recognition
+Jeffrey Donahue
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2017-106
+http://www2.eecs.berkeley.edu/Pubs/TechRpts/2017/EECS-2017-106.html
+May 14, 2017"

+d16c8ac2d194a6e862be0d1c4edf1ca2cdf5dc18,Robust Subspace Approaches to Visual Learning and Recognition DOCTORAL,"Univerza v Ljubljani
+Fakulteta za raˇcunalniˇstvo in informatiko
+Danijel Skoˇcaj
+Robustni pristopi k vizualnemu uˇcenju
+in razpoznavanju na osnovi podprostorov
+DOKTORSKA DISERTACIJA
+Ljubljana, 2003
+Mentor: prof. dr. Aleˇs Leonardis"

+d1c091bf9402f1caf13892a3fae39326507401be,Speeding up Semantic Segmentation for Autonomous Driving,"Speeding up Semantic Segmentation for Autonomous
+Driving
+Michael Treml ∗1, José Arjona-Medina∗1, Thomas Unterthiner∗1,
+Rupesh Durgesh2, Felix Friedmann2, Peter Schuberth2,
+Andreas Mayr1, Martin Heusel1, Markus Hofmarcher1, Michael Widrich1,
+Bernhard Nessler1, Sepp Hochreiter1
+Institute of Bioinformatics, Johannes Kepler University Linz, Austria
+Audi Electronics Venture GmbH, Germany
+{treml, arjona, unterthiner, nessler,
+{rupesh.durgesh, felix.friedmann,"

+d102f18d319d9545588075010f5d10b1ff77f967,Effects of Degradations on Deep Neural Network Architectures,"Effects of Degradations on Deep Neural Network
+Architectures
+Prasun Roy∗, Subhankar Ghosh∗, Saumik Bhattacharya∗ and Umapada Pal
+Indian Statistical Institute Kolkata, India - 700108"

+d170adb2c508edaedb731ada8cb995172a839a1f,Cascade of Boolean detector combinations,"Mahkonen et al. EURASIP Journal on Image and Video
+Processing  (2018) 2018:61
+https://doi.org/10.1186/s13640-018-0303-9
+EURASIP Journal on Image
+nd Video Processing
+RESEARCH
+Open Access
+Cascade of Boolean detector
+ombinations
+Katariina Mahkonen*
+, Tuomas Virtanen and Joni Kämäräinen"

+d1d4c49e764a200bc90113b0ba9c34664d0f9462,"Memo No . 082 May 10 , 2018 Scene Graph Parsing as Dependency Parsing","CBMM Memo No. 082
+May 10, 2018
+Scene Graph Parsing as Dependency Parsing
+Yu-Siang Wang1, Chenxi Liu2, Xiaohui Zeng3, Alan Yuille2
+: National Taiwan University
+: Johns Hopkins University
+: Hong Kong University of Science and Technology"

+d1a43737ca8be02d65684cf64ab2331f66947207,IJB – S : IARPA Janus Surveillance Video Benchmark ∗,"IJB–S: IARPA Janus Surveillance Video Benchmark (cid:3)
+Nathan D. Kalka y
+Stephen Elliott z
+Brianna Maze y
+Kaleb Hebert y
+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
+S¨ureyya ¨Oz¨o˘g¨ur Aky¨uz · Terry
+Windeatt · Raymond Smith
+Received: date / Accepted: date"

+d1bfb6a9182e5712d8aef46b2fe93ef4ad4fe705,Local Color Contrastive Descriptor for Image Classification,"Local Color Contrastive Descriptor for Image
+Classification
+Sheng Guo, Student Member, IEEE, Weilin Huang, Member, IEEE, and Yu Qiao, Senior Member, IEEE"

+d1c0592f4f9f0ff2e14e0591d87539e5141b7361,Mobile Emotion Recognition Engine,"Mobile Emotion Recognition Engine
+Alberto Scicali1"

+d138270d3c06e85fa2c3da6f953818da4b72313a,An Analytical Framework for Estimating Scale-Out and Scale-Up Power Efficiency of Heterogeneous Manycores,"An Analytical Framework for Estimating
+Scale-Out and Scale-Up Power Efficiency
+of Heterogeneous Manycores
+Jun Ma, Guihai Yan, Member, IEEE, Yinhe Han, Member, IEEE, and Xiaowei Li, Senior Member, IEEE"

+d1d6f1d64a04af9c2e1bdd74e72bd3ffac329576,Neural Face Editing with Intrinsic Image Disentangling,"Neural Face Editing with Intrinsic Image Disentangling
+Zhixin Shu1 Ersin Yumer2 Sunil Hadap2 Kalyan Sunkavalli2 Eli Shechtman 2 Dimitris Samaras1,3
+Stony Brook University 2Adobe Research 3 CentraleSup´elec, Universit´e Paris-Saclay"

+d1dc5a8b4d13d2c51eec7bcb29d08f471d3b65dc,Adversarially Occluded Samples for Person Re-identification ( Supplementary Material ) 1 . Improvement of Ranking Results,"Adversarially Occluded Samples for Person Re-identification
+Houjing Huang 1
+Dangwei Li 1
+Zhang Zhang 1
+Xiaotang Chen 1
+Kaiqi Huang 1
+CRIPAC & NLPR, CASIA 2 University of Chinese Academy of Sciences
+CAS Center for Excellence in Brain Science and Intelligence Technology
+{houjing.huang, dangwei.li, zzhang, xtchen,"

+d198b5bc5eae22f7a788729c0ea15b6b60b62f36,Transfer Learning for Estimating Causal Effects using Neural Networks,"Transfer Learning for Estimating Causal Effects
+using Neural Networks
+Sören R. Künzel∗
+UC Berkeley
+Varsha Ramakrishnan
+UC Berkeley
+Bradly C. Stadie∗
+UC Berkeley
+Nikita Vemuri
+UC Berkeley
+Jasjeet S. Sekhon
+UC Berkeley
+Pieter Abbeel
+UC Berkeley"

+d6dab84451254d7fbb5b9e1d40a7d2a92dec13b3,Enhanced Local Binary Patterns for Automatic Face Recognition,"ENHANCED LOCAL BINARY PATTERNS FOR AUTOMATIC FACE RECOGNITION
+Pavel Kr´al1
+, Anton´ın Vrba1
+Dept. of Computer Science & Engineering 2New Technologies for the Information Society
+Faculty of Applied Sciences
+University of West Bohemia
+Plzeˇn, Czech Republic
+Faculty of Applied Sciences
+University of West Bohemia
+Plzeˇn, Czech Republic"

+d6255a0db6f8f157c5c901d758c7a5f36416ab51,Face Recognition Using Gabor Wavelet Transform,"FACE RECOGNITION USING GABOR WAVELET TRANSFORM
+A THESIS SUBMITTED TO
+THE GRADUATE SCHOOL OF NATURAL SCIENCES
+THE MIDDLE EAST TECHNICAL UNIVERSITY
+BURCU KEPENEKCI
+IN PARTIAL FULLFILMENT OF THE REQUIREMENTS FOR THE DEGREE
+MASTER OF SCIENCE
+THE DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING
+SEPTEMBER 2001"

+d69df51cff3d6b9b0625acdcbea27cd2bbf4b9c0,Robust Remote Heart Rate Determination for E-Rehabilitation - A Method that Overcomes Motion and Intensity Artefacts,

+d64b24e9b01f4681d92fc29f36e46d94db7b8bb0,Avoiding Extraverts: Pathogen Concern Downregulates Preferences for Extraverted Faces,"See	discussions,	stats,	and	author	profiles	for	this	publication	at:	https://www.researchgate.net/publication/305793723
+Avoiding	Extraverts:	Pathogen	Concern
+Downregulates	Preferences	for	Extraverted
+Faces
+Article	·	August	2016
+DOI:	10.1007/s40806-016-0064-6
+CITATIONS
+authors,	including:
+Mitch	Brown
+University	of	Southern	Mississippi
+6	PUBLICATIONS			5	CITATIONS
+SEE	PROFILE
+READS
+Some	of	the	authors	of	this	publication	are	also	working	on	these	related	projects:
+Limbal	Rings	View	project
+Morality	and	Mate	Preferences	View	project
+All	content	following	this	page	was	uploaded	by	Mitch	Brown	on	06	December	2016.
+The	user	has	requested	enhancement	of	the	downloaded	file.	All	in-text	references	underlined	in	blue	are	added	to	the	original	document
+nd	are	linked	to	publications	on	ResearchGate,	letting	you	access	and	read	them	immediately."

+d660abfbe5f84c1c49f1e7174eb166b8b23e53c4,"AMIGOS: A dataset for Mood, personality and affect research on Individuals and GrOupS","AMIGOS: A dataset for Mood, personality and
+ffect research on Individuals and GrOupS
+Nicu Sebe, Senior Member, IEEE, and Ioannis Patras, Senior Member, IEEE"

+d689cdb4e535be040316722229e6362de6617f9e,Geometric Deep Particle Filter for Motorcycle Tracking: Development of Intelligent Traffic System in Jakarta,"INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS VOL. 8, NO. 1, MARCH 2015
+GEOMETRIC DEEP PARTICLE FILTER FOR MOTORCYCLE
+TRACKING: DEVELOPMENT OF INTELLIGENT TRAFFIC
+SYSTEM IN JAKARTA
+Alexander A S Gunawan1, Wisnu Jatmiko2
+Bina Nusantara University, Mathematics Department,
+School of Computer Science, Jakarta, Indonesia
+Faculty of Computer Science,Universitas Indonesia, Depok, Indonesia
+Submitted: Oct. 4, 2014      Accepted: Jan. 20, 2015        Published: Mar. 1, 2015"

+d61578468d267c2d50672077918c1cda9b91429b,Face Image Retrieval Using Pose Specific Set Sparse Feature Representation,"Abdul Afeef N et al, International Journal of Computer Science and Mobile Computing, Vol.3 Issue.9, September- 2014, pg. 314-323
+Available Online at www.ijcsmc.com
+International Journal of Computer Science and Mobile Computing
+A Monthly Journal of Computer Science and Information Technology
+ISSN 2320–088X
+IJCSMC, Vol. 3, Issue. 9, September 2014, pg.314 – 323
+RESEARCH ARTICLE
+Face Image Retrieval Using Pose Specific
+Set Sparse Feature Representation
+Department of Computer Science, Viswajyothi College of Engineering and Technology Kerala, India
+Assistant Professor of Computer Science, Viswajyothi College of Engineering and Technology Kerala, India
+Abdul Afeef N1, Sebastian George2"

+d6eda0c16d226976506396653d14044c185eaf3e,Toward Multimodal Image-to-Image Translation,"Toward Multimodal Image-to-Image Translation
+Jun-Yan Zhu
+UC Berkeley
+Richard Zhang
+UC Berkeley
+Deepak Pathak
+UC Berkeley
+Trevor Darrell
+UC Berkeley
+Alexei A. Efros
+UC Berkeley
+Oliver Wang
+Adobe Research
+Eli Shechtman
+Adobe Research"

+d687fa99586a9ad229284229f20a157ba2d41aea,Face Recognition Based on Wavelet Packet Coefficients and Radial Basis Function Neural Networks,"Journal of Intelligent Learning Systems and Applications, 2013, 5, 115-122
+http://dx.doi.org/10.4236/jilsa.2013.52013 Published Online May 2013 (http://www.scirp.org/journal/jilsa)
+Face Recognition Based on Wavelet Packet Coefficients
+nd Radial Basis Function Neural Networks
+Thangairulappan Kathirvalavakumar1*, Jeyasingh Jebakumari Beulah Vasanthi2
+Department of Computer Science, Virudhunagar Hindu Nadars’ Senthikumara Nadar College, Virudhunagar, India; 2Department of
+Computer Applications, Ayya Nadar Janaki Ammal College, Sivakasi, India.
+Email:
+Received December 12th, 2012; revised April 19th, 2013; accepted April 26th, 2013
+Copyright © 2013 Thangairulappan Kathirvalavakumar, Jeyasingh Jebakumari Beulah Vasanthi. This is an open access article dis-
+tributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any me-
+dium, provided the original work is properly cited."

+d69e644016042d1032995bc9f51e2d72a1c1cd93,Beyond Trees: Adopting MITI to Learn Rules and Ensemble Classifiers for Multi-Instance Data,"Beyond Trees: Adopting MITI to Learn Rules
+nd Ensemble Classifiers for Multi-instance Data
+Luke Bjerring and Eibe Frank
+Department of Computer Science, University of Waikato"

+d6efd1b7b39d91b067488e0c4bf800ce3e3704d8,Visual Analysis of Pedestrian Motion,"Visual Analysis of Pedestrian Motion
+PRS Transfer Report
+Supervised by Dr Ian Reid
+David Ellis
+St John’s College
+Robotics Research Group
+Department of Engineering Science
+Michaelmas 2009"

+d6a9ea9b40a7377c91c705f4c7f206a669a9eea2,Visual Representations for Fine-grained Categorization,"Visual Representations for Fine-grained
+Categorization
+Ning Zhang
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2015-244
+http://www.eecs.berkeley.edu/Pubs/TechRpts/2015/EECS-2015-244.html
+December 17, 2015"

+d671a210990f67eba9b2d3dda8c2cb91575b4a7a,Social Environment Description from Data Collected with a Wearable Device,"Journal of Machine Learning Research ()
+Submitted ; Published
+Social Environment Description from Data Collected with a
+Wearable Device
+Pierluigi Casale
+Computer Vision Center
+Autonomous University of Barcelona
+Barcelona, Spain
+Editor: Radeva Petia, Pujol Oriol"

+d665213b59f2460faf171d3b03ecd9c96d606883,A Multimodal Nonverbal Human-robot Communication System,"VI International Conference on Computational Bioengineering
+ICCB 2015
+M. Cerrolaza and S.Oller (Eds)
+A MULTIMODAL NONVERBAL HUMAN-ROBOT COMMUNICATION
+SYSTEM
+S. SALEH†*, M. SAHU†, Z. ZAFAR† AND K. BERNS†
+Robotics Research Lab. - Dept. of Computer Science
+University of Kaiserslautern
+Kaiserslautern, Germany
+web page: http://agrosy.cs.uni-kl.de
+e-mail: {saleh, sahu, zafar,
+* Dept. of Computer Science, University of Basrah
+Basrah, Iraq
+Key words: HRI, Facial Expression Recognition, Nonverbal Communication"

+d6683c74c17d4fcc48ce3d9df9df6aea38fd4923,Learning Instance Weights in Multi-Instance Learning,"Learning Instance Weights in
+Multi-Instance Learning
+James Foulds
+This thesis is submitted in partial fulfillment of
+the requirements for the degree of
+Master of Science
+t the
+University of Waikato.
+Department of Computer Science
+Hamilton, New Zealand
+February 2007 - February 2008
+(cid:13) 2008 James Foulds"

+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
+Abhishek Kar
+Advisors: Dr. Amitabha Mukerjee & Dr. Prithwijit Guha
+Department of Computer Science and Engineering, IIT Kanpur"

+d6adb54f5d25dda71d157b5d574c70c732fdd722,Feature Map Filtering: Improving Visual Place Recognition with Convolutional Calibration,"Pre-print of article that will appear in Proceedings of the Australasian Conference on Robotics and Automation
+018.
+Please cite this paper as:
+Stephen Hausler, Adam Jacobson, and Michael Milford. Feature Map Filtering: Improving Visual Place Recognition
+with Convolutional Calibration. Proceedings of Australasian Conference on Robotics and Automation, 2018.
+ibtex:
+uthor = {Hausler, Stephen and Jacobson, Adam and Milford, Michael},
+title = {Feature Map Filtering: Improving Visual Place Recognition with Convolutional Calibration},
+ooktitle = {Proceedings of Australasian Conference on Robotics and Automation (ACRA)},
+year = {2018},"

+d6dfe23018172d29c36746d24f73bf86e1aaa0a6,Searching Scenes by Abstracting Things,

+d65bcbcddec932480c434f0ffa778e429cdd4ee7,Periocular biometrics: When iris recognition fails,"Periocular Biometrics: When Iris Recognition Fails
+Samarth Bharadwaj, Himanshu S. Bhatt, Mayank Vatsa and Richa Singh"

+d6c7092111a8619ed7a6b01b00c5f75949f137bf,A Novel Feature Extraction Technique for Facial Expression Recognition,"A Novel Feature Extraction Technique for Facial Expression
+Recognition
+*Mohammad Shahidul Islam1,  Surapong Auwatanamongkol2
+1 Department of Computer Science, School of Applied Statistics,
+National Institute of Development Administration,
+Bangkok, 10240, Thailand
+Department of Computer Science, School of Applied Statistics,
+National Institute of Development Administration,
+Bangkok, 10240, Thailand"

+d6ceebb0cde7fb0fbe916472d7b613a2d7d2e1e6,Do faces capture the attention of individuals with Williams syndrome or autism? Evidence from tracking eye movements.,"Do faces capture the attention of individuals with Williams syndrome
+or Autism? Evidence from tracking eye movements
+Deborah M Riby & Peter J B Hancock
+http://dx.doi.org/10.1007/s10803-008-0641-z"

+d65f11b44180d9997ad5ba6e6970fe4874891f4f,Unobtrusive emotion sensing and interpretation in smart environment,"Journal of Ambient Intelligence and Smart Environments 7 (2015) 59–83
+DOI 10.3233/AIS-140298
+IOS Press
+Unobtrusive emotion sensing and
+interpretation in smart environment
+Oleg Starostenko *, Ximena Cortés, J. Afredo Sánchez and Vicente Alarcon-Aquino
+Department of Computing, Electronics and Mechatronics, Universidad de las Americas Puebla, Cholula,
+Pue. 72810, Mexico"

+d6b514a68abff3ab14af9fc0152cd5b28bd0192c,Instance Segmentation by Deep Coloring,"JULY 2018
+Instance Segmentation by Deep Coloring
+Victor Kulikov, Victor Yurchenko, and Victor Lempitsky"

+d64c362b631f0c94b22952e2d0860054f0854358,Offline Handwritten Devanagari Numeral Recognition Using Artificial Neural Network,"International Journals of Advanced Research in
+Computer Science and Software Engineering
+ISSN: 2277-128X (Volume-7, Issue-8)
+Research  Article
+August
+Offline Handwritten Devanagari Numeral Recognition
+Using Artificial Neural Network
+P E Ajmire
+Associate Professor & Head, Department of Computer Science & Application,  G. S. Science, Arts & Commerce
+College, Khamgaon, Maharashtra, India
+DOI: 10.23956/ijarcsse/V7I7/0157"

+d623428f02e80a689eb58d022237daeae2ae7b9c,Guided depth upsampling for precise mapping of urban environments,"Guided Depth Upsampling for Precise Mapping of Urban Environments
+Sascha Wirges1, Bj¨orn Roxin2 , Eike Rehder2, Tilman K¨uhner1 and Martin Lauer2"

+d680cfe583fe61e49656cc7b9dbd480c6159cf0b,Pedestrian Detection in Far-Infrared Daytime Images Using a Hierarchical Codebook of SURF,"Sensors 2015, 15, 8570-8594; doi:10.3390/s150408570
+OPEN ACCESS
+sensors
+ISSN 1424-8220
+www.mdpi.com/journal/sensors
+Article
+Pedestrian Detection in Far-Infrared Daytime Images Using a
+Hierarchical Codebook of SURF
+Bassem Besbes 1, Alexandrina Rogozan 2,*, Adela-Maria Rus 2,3,*, Abdelaziz Bensrhair 2
+nd Alberto Broggi 4
+Diotasoft, 15 Boulevard Emile Baudot, Massy 91300, France; E-Mail:
+LITIS Laboratory, National Institute of Applied Sciences, 76801 Saint-Etienne-du-Rouvray Cedex,
+France; E-Mail:
+Faculty of Computer Science, Babes-Bolyai University, Kogalniceanu no.1,
+Cluj-Napoca RO-400084, Romania
+Dipartimento di Ingegneria dell’ Informazione, Universita di Parma, Parco Area delle Scienze,
+Parma 181/a 43124, Italy; E-Mail:
+* Authors to whom correspondence should be addressed; E-Mails: (A.R.);
+(A.-M.R.); Tel.: +33-2-3295-6670 (A.R.); +40-2-6440-5300 (A.-M.R.).
+Academic Editor: Felipe Jimenez"

+d69b542b3714b5e90c384d39b5ab0c4bf9dd5375,Geometry and Probability for Motion and Action,"IN PARTNERSHIP WITH:
+Institut polytechnique de
+Grenoble
+Université Pierre Mendes-France
+(Grenoble)
+Université Joseph Fourier
+(Grenoble)
+Activity Report 2012
+Project-Team E-MOTION
+Geometry and Probability for Motion and
+Action
+IN COLLABORATION WITH: Laboratoire d’Informatique de Grenoble (LIG)
+RESEARCH CENTER
+Grenoble - Rhône-Alpes
+THEME
+Robotics"

+d69ef8b5658fabd0ac092fb2bfd0c9c109574dcc,Neural Class-Specific Regression for face verification,"Neural Class-Specific Regression for face
+verification
+Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj"

+bcee40c25e8819955263b89a433c735f82755a03,Biologically Inspired Vision for Human-Robot Interaction,"Biologically inspired vision for human-robot
+interaction
+M. Saleiro, M. Farrajota, K. Terzi´c, S. Krishna, J.M.F. Rodrigues, and J.M.H.
+du Buf
+Vision Laboratory, LARSyS, University of the Algarve, 8005-139 Faro, Portugal,
+{masaleiro, mafarrajota, kterzic, jrodrig,"

+bcf7fb98ab0137d8a8b8a952819f5e13ec4648aa,Face Recognition with Single Sample per Class Using Cs-lbp and Gabor Filter,"Journal of Theoretical and Applied Information Technology
+31st October 2014. Vol. 68 No.3
+© 2005 - 2014 JATIT & LLS. All rights reserved.
+ISSN: 1992-8645                                                       www.jatit.org                                                          E-ISSN: 1817-3195
+FACE RECOGNITION WITH SINGLE SAMPLE PER
+CLASS USING CS-LBP AND GABOR FILTER
+A.USHA RUBY,
+DR.J.GEORGE CHELLIN CHANDRAN
+Research Scholar, Department of CSE, Bharath University
+Principal, CSI College of Engineering, Ketti
+E-mail:   ,"

+bc995457cf5f4b2b5ef62106856571588d7d70f2,Comparison of Maximum Likelihood and GAN-based training of Real NVPs,"Comparison of Maximum Likelihood and GAN-based training of Real NVPs
+Ivo Danihelka 1 2 Balaji Lakshminarayanan 1 Benigno Uria 1 Daan Wierstra 1 Peter Dayan 3"

+bc6de183cd8b2baeebafeefcf40be88468b04b74,Age Group Recognition using Human Facial Images,"Age Group Recognition using Human Facial Images
+International Journal of Computer Applications (0975 – 8887)
+Volume 126 – No.13, September 2015
+Shailesh S. Kulkarni
+Dept. of Electronics and Telecommunication
+Government College of Engineering,
+Aurangabad, Maharashtra, India"

+bcf73131c2be397fa2105ac45df3ce1a55c07c2f,Automated markerless extraction of walking people using deformable contour models,"This is a preprint of an article published in Computer Animation and Virtual
+Worlds, 15(3-4):399-406, 2004.
+This journal may be found at:
+http://www.interscience.wiley.com"

+bcf19b964e7d1134d00332cf1acf1ee6184aff00,Trajectory-Set Feature for Action Recognition,"IEICE TRANS. INF. & SYST., VOL.E100–D, NO.8 AUGUST 2017
+LETTER
+Trajectory-Set Feature for Action Recognition
+Kenji MATSUI†, Nonmember, Toru TAMAKI†a), Member, Bisser RAYTCHEV†, Nonmember,
+nd Kazufumi KANEDA†, Member
+SUMMARY We propose a feature for action recognition called
+Trajectory-Set (TS), on top of the improved Dense Trajectory (iDT).
+The TS feature encodes only trajectories around densely sampled inter-
+est points, without any appearance features. Experimental results on the
+UCF50 action dataset demonstrates that TS is comparable to state-of-the-
+rts, and outperforms iDT; the accuracy of 95.0%, compared to 91.7% by
+key words: action recognition, trajectory, improved Dense Trajectory
+the two-stream CNN [2] that uses a single frame and a opti-
+al flow stack. In their paper stacking trajectories was also
+reported but did not perform well, probably the sparseness
+of trajectories does not fit to CNN architectures. In contrast,
+we take a hand-crafted approach that can be fused later with
+CNN outputs.
+Introduction
+Action recognition has been well studied in the computer"

+bc1fa3efa43dfb79f6f8243d29327c8ee06e8a97,Learning object classes with generic knowledge,"ETH Zurich, D-ITET, BIWI
+Technical Report No 275
+Learning object classes with generic knowledge
+Thomas Deselaers, Bogdan Alexe, and Vittorio Ferrari"

+bc843c35530e38396e8ba55b8891dbe8324054a8,Group Visual Sentiment Analysis,"Group Visual Sentiment Analysis
+Zeshan Hussain, Tariq Patanam and Hardie Cate
+June 6, 2016"

+bca09d92a25e5cc96df5c8d2eb87e2854cdc02b1,Pose Invariant 3 D Face Authentication based on Gaussian Fields Approach,"To the Graduate Council:
+I  am  submitting  herewith  a  thesis  written  by  Venkat  Rao  Ayyagari  entitled  “Pose
+Invariant 3D Face Authentication based on Gaussian Fields Approach”. I have examined
+the  final  electronic  copy  of  this  thesis  for  form  and  content  and  recommend  that  it  be
+ccepted  in  partial  fulfillment  of  the  requirements  for  the  degree  of  Master  of  Science,
+with a major in Electrical Engineering.
+Mongi A. Abidi
+Major Professor
+We have read this thesis and
+recommend its acceptance:
+Andreas Koschan
+Seong G. Kong
+Accepted for the Council:
+Anne Mayhew
+Vice Chancellor and Dean of
+Graduate Studies
+(Original signatures are on file with official student records.)"

+bcc172a1051be261afacdd5313619881cbe0f676,A fast face clustering method for indexing applications on mobile phones,"978-1-5090-4117-6/17/$31.00 ©2017 IEEE
+ICASSP 2017"

+bc7f431c4c5cecfc7bf95b2f0704d81469f23580,An Intelligent Apparel Recommendation System for Online Shopping Using Style Classification,"I J A B E R, Vol. 13, No. 2, (2015): 671-686
+AN INTELLIGENT APPAREL RECOMMENDATION
+SYSTEM FOR ONLINE SHOPPING USING STYLE
+CLASSIFICATION
+C. Perkinian* and P. Vikkraman**"

+bc749f0e81eafe9e32d56336750782f45d82609d,Combination of Texture and Geometric Features for Age Estimation in Face Images,

+bc15e0ebe7ff84e090aa2d74d753d87906d497f7,The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments,"The Impact of Preprocessing on Deep
+Representations for Iris Recognition on
+Unconstrained Environments
+Luiz A. Zanlorensi∗, Eduardo Luz†, Rayson Laroca∗, Alceu S. Britto Jr.‡, Luiz S. Oliveira∗, David Menotti∗
+Department of Informatics, Federal University of Paran´a (UFPR), Curitiba, PR, Brazil
+Computing Department, Federal University of Ouro Preto (UFOP), Ouro Preto, MG, Brazil
+Postgraduate Program in Informatics, Pontifical Catholic University of Paran´a (PUCPR), Curitiba, PR, Brazil"

+bc4e86b6d2d386805466b822a04ea0c015debfff,Robust 3D Face Recognition from Expression Categorisation,"Cook, Jamie A and Cox, Mark and Chandran, Vinod and Sridharan,
+Sridha (2007) Robust 3D Face Recognition from Expression
+Categorisation. In Proceedings International Conference on Biometrics
+642, pages pp. 271-280, Seoul, Korea.
+This is the author-manuscript version of this work - accessed from
+http://eprints.qut.edu.au
+Copyright 2007 Springer"

+bca52740ba679b67a508894e68a0e52f6bf62079,Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms,"Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms
+{tag}                                                 {/tag}
+International Journal of Computer Applications
+Foundation of Computer Science (FCS), NY, USA
+Volume 134
+Number 7
+Year of Publication: 2016
+Authors:
+Filani Araoluwa S., Adetunmbi Adebayo O.
+10.5120/ijca2016907932
+{bibtex}2016907932.bib{/bibtex}"

+bc4537bc5834b41a631d9a807500d199b438fb27,Perceptual Integration Deficits in Autism Spectrum Disorders Are Associated with Reduced Interhemispheric Gamma-Band Coherence.,"6352 • The Journal of Neuroscience, December 16, 2015 • 35(50):16352–16361
+Neurobiology of Disease
+Perceptual Integration Deficits in Autism Spectrum
+Disorders Are Associated with Reduced Interhemispheric
+Gamma-Band Coherence
+Ina Peiker,1* Nicole David,1* X Till R. Schneider,1 Guido Nolte,1 Daniel Scho¨ttle,2 and XAndreas K. Engel1
+Departments of 1Neurophysiology and Pathophysiology and 2Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, 20246
+Hamburg, Germany
+The integration of visual details into a holistic percept is essential for object recognition. This integration has been reported as a key deficit
+in patients with autism spectrum disorders (ASDs). The weak central coherence account posits an altered disposition to integrate features
+into a coherent whole in ASD. Here, we test the hypothesis that such weak perceptual coherence may be reflected in weak neural coherence
+cross different cortical sites. We recorded magnetoencephalography from 20 adult human participants with ASD and 20 matched
+ontrols, who performed a slit-viewing paradigm, in which objects gradually passed behind a vertical or horizontal slit so that only
+fragments of the object were visible at any given moment. Object recognition thus required perceptual integration over time and, in case
+of the horizontal slit, also across visual hemifields. ASD participants were selectively impaired in the horizontal slit condition, indicating
+specific difficulties in long-range synchronization between the hemispheres. Specifically, the ASD group failed to show condition-related
+enhancement of imaginary coherence between the posterior superior temporal sulci in both hemispheres during horizontal slit-viewing
+in contrast to controls. Moreover, local synchronization reflected in occipitocerebellar beta-band power was selectively reduced for
+horizontal compared with vertical slit-viewing in ASD. Furthermore, we found disturbed connectivity between right posterior superior
+temporal sulcus and left cerebellum. Together, our results suggest that perceptual integration deficits co-occur with specific patterns of"

+bc8e1c2284008319ee325ff7ea19916726235f55,Autonomic responses to social and nonsocial pictures in adolescents with autism spectrum disorder.,"RESEARCH ARTICLE
+Autonomic Responses to Social and Nonsocial Pictures in
+Adolescents With Autism Spectrum Disorder
+Anneke Louwerse, Joke H. M. Tulen, Jos N. van der Geest, Jan van der Ende, Frank C. Verhulst, and
+Kirstin Greaves-Lord
+It remains unclear why individuals with autism spectrum disorder (ASD) tend to respond in an atypical manner in social
+situations. Investigating autonomic and subjective responses to social vs. nonsocial stimuli may help to reveal underlying
+mechanisms of these atypical responses. This study examined autonomic responses (skin conductance level and heart
+rate) and subjective responses to social vs. nonsocial pictures in 37 adolescents with an ASD and 36 typically developing
+(TD) adolescents. Thirty-six pictures from the International Affective Picture System were presented, divided into six
+ategories based on social content (social vs. nonsocial) and pleasantness (pleasant, neutral, and unpleasant). Both in
+dolescents with ASD as well as TD adolescents, pictures with a social content resulted in higher skin conductance
+responses (SCRs) for pleasant and unpleasant pictures than for neutral pictures. No differences in SCRs were found for
+the three nonsocial picture categories. Unpleasant pictures, both with and without a social content, showed more heart
+rate deceleration than neutral pictures. Self-reported arousal ratings were influenced by the social and affective content
+of a picture. No differences were found between individuals with ASD and TD individuals in their autonomic and
+subjective responses to the picture categories. These results suggest that adolescents with ASD do not show atypical
+utonomic or subjective responses to pictures with and without a social content. These findings make it less likely that
+impairments in social information processing in individuals with ASD can be explained by atypical autonomic responses
+to social stimuli. Autism Res 2013, (cid:129)(cid:129): (cid:129)(cid:129)–(cid:129)(cid:129). © 2013 International Society for Autism Research, Wiley Periodicals, Inc."

+bc811a66855aae130ca78cd0016fd820db1603ec,Towards three-dimensional face recognition in the real Huibin,"Towards three-dimensional face recognition in the real
+Huibin Li
+To cite this version:
+Huibin Li. Towards three-dimensional face recognition in the real. Other. Ecole Centrale de
+Lyon, 2013. English. <NNT : 2013ECDL0037>. <tel-00998798>
+HAL Id: tel-00998798
+https://tel.archives-ouvertes.fr/tel-00998798
+Submitted on 2 Jun 2014
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destin´ee au d´epˆot et `a la diffusion de documents
+scientifiques de niveau recherche, publi´es ou non,
+´emanant des ´etablissements d’enseignement et de
+recherche fran¸cais ou ´etrangers, des laboratoires
+publics ou priv´es."

+bc98027b331c090448492eb9e0b9721e812fac84,"Face Representation Using Combined Method of Gabor Filters, Wavelet Transformation and DCV and Recognition Using RBF","Journal of Intelligent Learning Systems and Applications, 2012, 4, 266-273
+http://dx.doi.org/10.4236/jilsa.2012.44027 Published Online November 2012 (http://www.SciRP.org/journal/jilsa)
+Face Representation Using Combined Method of Gabor
+Filters, Wavelet Transformation and DCV and Recognition
+Using RBF
+Kathirvalavakumar Thangairulappan1*, Jebakumari Beulah Vasanthi Jeyasingh2
+Department of Computer Science, VHNSN College, Virudhunagar, India; 2Department of Computer Applications, ANJA College,
+Sivakasi, India.
+Email:
+Received April 27th, 2012; revised July 19th, 2012; accepted July 26th, 2012"

+bcaa5fab589d95890d539a3119657fa253176f0d,"Evaluating the Efficiency of a Night-Time, Middle-Range Infrared Sensor for Applications in Human Detection and Recognition","THE PROBLEM: MID-RANGE FR AT NIGHT
+No Active Illumination
+NIR Led Illuminator
+Night Time 120 meters
+eters
+Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII, edited by Gerald C. Holst, Keith A. Krapels,
+Proc. of SPIE Vol. 8355, 83551B · © 2012 SPIE · CCC code: 0277-786X/12/$18 · doi: 10.1117/12.917831
+Proc. of SPIE Vol. 8355  83551B-1
+From: http://proceedings.spiedigitallibrary.org/ on 04/30/2013 Terms of Use: http://spiedl.org/terms"

+bc9af4c2c22a82d2c84ef7c7fcc69073c19b30ab,MoCoGAN: Decomposing Motion and Content for Video Generation,"MoCoGAN: Decomposing Motion and Content for Video Generation
+Sergey Tulyakov,
+Snap Research
+Ming-Yu Liu, Xiaodong Yang,
+NVIDIA
+Jan Kautz"

+bcac3a870501c5510df80c2a5631f371f2f6f74a,Structured Face Hallucination,"#1387
+CVPR 2013 Submission #1387. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
+#1387
+Structured Face Hallucination
+Anonymous CVPR submission
+Paper ID 1387"

+bc4627e1bc3bbe21c46c4011ec4f9bd377ec83a4,Towards recognition of degraded words by probabilistic parsing,"Towards Recognition of Degraded Words by Probabilistic
+Parsing
+Karthika Mohan
+IIIT, Hyderabad
+AP, India 500 032
+K. J. Jinesh
+IIIT, Hyderabad
+AP, India 500 032
+C. V. Jawahar
+IIIT, Hyderabad
+AP, India 500 032"

+ae419d28ab936cbbc420dcfd1decb16a45afc8a9,Real-time face verification using multiple feature combination and a support vector machine supervisor,

+ae8d5be3caea59a21221f02ef04d49a86cb80191,Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks,"Published as a conference paper at ICLR 2018
+SKIP RNN: LEARNING TO SKIP STATE UPDATES IN
+RECURRENT NEURAL NETWORKS
+V´ıctor Campos∗†, Brendan Jou‡, Xavier Gir´o-i-Nieto§, Jordi Torres†, Shih-Fu ChangΓ
+Barcelona Supercomputing Center, ‡Google Inc,
+§Universitat Polit`ecnica de Catalunya, ΓColumbia University
+{victor.campos,"

+ae2b2493f35cecf1673eb3913fdce37e037b53a2,Optimal Transport Maps for Distribution Pre- Serving Operations on Latent Spaces of Gener-,"OPTIMAL TRANSPORT MAPS FOR DISTRIBUTION PRE-
+SERVING OPERATIONS ON LATENT SPACES OF GENER-
+ATIVE MODELS
+Eirikur Agustsson
+D-ITET, ETH Zurich
+Switzerland
+Alexander Sage
+D-ITET, ETH Zurich
+Switzerland
+Radu Timofte
+D-ITET, ETH Zurich
+Merantix GmbH
+Luc Van Gool
+D-ITET, ETH Zurich
+ESAT, KU Leuven"

+aeee98c90799cd44dde4046754cff27c8ed28d44,Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review,"Deep convolutional neural networks for brain image analysis on magnetic
+resonance imaging: a review
+Jose Bernal∗, Kaisar Kushibar, Daniel S. Asfaw, Sergi Valverde, Arnau Oliver, Robert Mart´ı, Xavier Llad´o
+Computer Vision and Robotics Institute
+Dept. of Computer Architecture and Technology
+University of Girona
+Ed. P-IV, Av. Lluis Santal´o s/n, 17003 Girona (Spain)"

+aeee02b8c8bb749a1203fa634407319dd6874667,VIDEO-SURVEILLANCE IN CLOUD Platform and software aaS for people detection and soft-biometry,"VIDEO-SURVEILLANCE IN CLOUD
+Platform and software aaS for people detection and soft-
+iometry
+R. Cucchiara°,*, A. Prati°,+, R. Vezzani°,*, S. Calderara°,*, C. Grana°,*
+°SOFTECH-ICT, *Università di Modena e Reggio Emilia, +Università IUAV di Venezia"

+aed5b3b976077ecdcf3f88ffc511f63d9f9e8697,"A Qualitative Comparison of CoQA, SQuAD 2.0 and QuAC","A Qualitative Comparison of CoQA, SQuAD 2.0 and QuAC
+Mark Yatskar
+Allen Institute for Artificial Intelligence"

+aeabcbdff7ab810b961a9f7e4399b6c0421d00cd,TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents,"TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents
+Yuexin Ma1,2, Xinge Zhu3, Sibo Zhang1, Ruigang Yang1, Wenping Wang2, Dinesh Manocha4
+Baidu Research, Baidu Inc.1, The University of Hong Kong2,
+The Chinese University of Hong Kong3, University of Maryland at College Park4"

+ae0514be12d200bd9fecf0d834bdcb30288c7a1e,Automatic Opinion Question Generation,"Automatic Opinion Question Generation
+Yllias Chali
+University of Lethbridge
+401 University Drive
+Lethbridge, Alberta, T1K 3M4
+Tina Baghaee
+University of Lethbridge
+401 University Drive
+Lethbridge, Alberta, T1K 3M4"

+ae2cf545565c157813798910401e1da5dc8a6199,Cascade of Boolean detector combinations,"Mahkonen et al. EURASIP Journal on Image and Video
+Processing  (2018) 2018:61
+https://doi.org/10.1186/s13640-018-0303-9
+EURASIP Journal on Image
+nd Video Processing
+RESEARCH
+Open Access
+Cascade of Boolean detector
+ombinations
+Katariina Mahkonen*
+, Tuomas Virtanen and Joni Kämäräinen"

+ae818858a88299090748446b8662e68628612c65,Analysis of Expressiveness of Portuguese Sign Language Speakers,"FACULDADE DE ENGENHARIA DA UNIVERSIDADE DO PORTO
+Analysis of Expressiveness of
+Portuguese Sign Language Speakers
+Maria Inês Coutinho Vigário Rodrigues
+MASTER THESIS
+Integrated Master in Bioengineering
+Supervisor: Luis Filipe Pinto de Almeida Teixeira (PhD)
+Co-supervisor: Eduardo José Marques Pereira (Eng.)
+June 2014"

+aebb9649bc38e878baef082b518fa68f5cda23a5,A Multi - scale TVQI - based Illumination Normalization Model,

+ae299fad29ba650fbf1e14c7c95ba8ae32e095f0,Person Re-Identification by Robust Canonical Correlation Analysis,"Person Re-Identification by Robust
+Canonical Correlation Analysis
+Le An, Songfan Yang, Member, IEEE, and Bir Bhanu, Fellow, IEEE"

+ae9ab89c51d264fb7b6b57d37399a7c629836e35,Obtaining Better Image Representations by Combining Complementary Activation Features of Multiple ConvNet Layers for Transfer Learning,"Obtaining Better Image Representations by
+Combining Complementary Activation Features of
+Multiple ConvNet Layers for Transfer Learning
+Jumabek Alikhanov
+School of Computer and
+Information Engineering
+Seunghyun Ko
+School of Computer and
+Information Engineering
+Jo Geun Sik
+School of Computer and
+Information Engineering
+Inha University Incheon, South Korea
+Inha University Incheon, South Korea
+Inha University Incheon, South Korea
+Email:
+Email:
+Email:"

+ae5195c44ef7bff090bb5a17a9fe5f86a8c3b316,Web Scale Image Annotation: Learning to Rank with Joint Word-Image Embeddings,"Web Scale Image Annotation: Learning to Rank with Joint
+Word-Image Embeddings"

+aeeea6eec2f063c006c13be865cec0c350244e5b,"Induced Disgust, Happiness and Surprise: an Addition to the MMI Facial Expression Database","Induced Disgust, Happiness and Surprise: an Addition to the MMI Facial
+Expression Database
+Michel F. Valstar, Maja Pantic
+Imperial College London / Twente University
+Department of Computing / EEMCS
+80 Queen’s Gate / Drienerlolaan 5
+London / Twente"

+ae13485e75f5e7fc9a9659ce960c8b299c7b889b,Sparse Modeling for High - Dimensional Multi - Manifold Data Analysis,"SPARSE MODELING FOR HIGH-DIMENSIONAL
+MULTI-MANIFOLD DATA ANALYSIS
+Ehsan Elhamifar
+A dissertation submitted to The Johns Hopkins University in conformity with the
+requirements for the degree of Doctor of Philosophy.
+Baltimore, Maryland
+October, 2012
+(cid:13) Ehsan Elhamifar 2012
+All rights reserved"

+ae8ed3b0b8043c5af76390751938edfd100fa9cd,An Overview of MultiTask Learning in Deep Neural Networks,"of 21
+9 May 2017
+An Overview of Multi-Task Learning in Deep
+Neural Networks 
+Table of contents:
+Introduction
+Motivation
+Two MTL methods for Deep Learning
+Hard parameter sharing
+Soft parameter sharing
+Why does MTL work?
+Implicit data augmentation
+Attention focusing
+Eavesdropping
+Representation bias
+Regularization
+MTL in non-neural models
+Block-sparse regularization
+http://sebastianruder.com/multi-task/index.html
+5/31/17, 9:38 AM"

+ae9257f3be9f815db8d72819332372ac59c1316b,Deciphering the enigmatic face: the importance of facial dynamics in interpreting subtle facial expressions.,"P SY CH O L O GIC AL SC I E NC E
+Research Article
+Deciphering the Enigmatic Face
+The Importance of Facial Dynamics in Interpreting Subtle
+Facial Expressions
+Zara Ambadar,1 Jonathan W. Schooler,2 and Jeffrey F. Cohn1
+University of Pittsburgh and 2University of British Columbia, Vancouver, British Columbia, Canada"

+ae33dc04adcb83a486517c48078cdd4af7dcc7c7,The adaptative local Hausdorff-distance map as a new dissimilarity measure,"The adaptative local Hausdorff-distance map
+s a new dissimilarity measure
+´Etienne Baudrier∗, Gilles Millon, Fr´ed´eric Nicolier, Su Ruan
+Centre de Recherche en STIC (CReSTIC)
+IUT de Troyes, 9, rue de Qu´ebec, 10026 TROYES CEDEX, FRANCE
+{e.baudrier, g.millon, f.nicolier,"

+ae89b7748d25878c4dc17bdaa39dd63e9d442a0d,On evaluating face tracks in movies,"On evaluating face tracks in movies
+Alexey Ozerov, Jean-Ronan Vigouroux, Louis Chevallier, Patrick Pérez
+To cite this version:
+Alexey Ozerov, Jean-Ronan Vigouroux, Louis Chevallier, Patrick Pérez. On evaluating face tracks
+in movies. IEEE International Conference on Image Processing (ICIP 2013), Sep 2013, Melbourne,
+Australia. 2013. <hal-00870059>
+HAL Id: hal-00870059
+https://hal.inria.fr/hal-00870059
+Submitted on 4 Oct 2013
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de
+recherche français ou étrangers, des laboratoires"

+aeff403079022683b233decda556a6aee3225065,DeepFace: Face Generation using Deep Learning,"DeepFace: Face Generation using Deep Learning
+Hardie Cate
+Fahim Dalvi
+Zeshan Hussain"

+ae753fd46a744725424690d22d0d00fb05e53350,Describing Clothing by Semantic Attributes,"Describing Clothing by Semantic Attributes
+Anonymous ECCV submission
+Paper ID 727"

+ae0a0ee1c6e2adcddffebf9b0e429a25b7d9c0e1,"A Review and Analysis of Eye-Gaze Estimation Systems, Algorithms and Performance Evaluation Methods in Consumer Platforms","A Review and Analysis of Eye-Gaze Estimation
+Systems, Algorithms and Performance
+Evaluation Methods in Consumer Platforms
+Anuradha Kar, Student Member, IEEE, Peter Corcoran Fellow, IEEE"

+aeec61ef41d55b5c1becfdc00c2e4dbca0e379c0,Automatic Recognition by Gait,"I N V I T E D
+P A P E R
+Automatic Recognition by Gait
+Recognizing people by the way they walk promises to be useful for identifying
+individuals from a distance; improved techniques are under development.
+By Mark S. Nixon, Member IEEE, and John N. Carter, Member IEEE"

+ae8cc8db9e05c79adad03da64a4a9ba0b00f4eb5,Large Scale Local Online Similarity/Distance Learning Framework based on Passive/Aggressive,"International Journal of Machine Learning and Cybernetics
+DOI –x
+ORI GI NAL    ARTI CLE
+Large Scale Local Online Similarity/Distance Learning Framework based on
+Passive/Aggressive
+Baida Hamdan1, Davood Zabihzadeh*1, Monsefi Reza1
+Computer Department, Engineering Faculty, Ferdowsi University of Mashhad (FUM), Mashhad, IRAN
+* Corresponding Author"

+ae85c822c6aec8b0f67762c625a73a5d08f5060d,Retrieving Similar Styles to Parse Clothing,"This is the author's version of an article that has been published in this journal. Changes were made to this version by the publisher prior to publication.
+The final version of record is available at http://dx.doi.org/10.1109/TPAMI.2014.2353624
+IEEE TRANSACTION ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. M, NO. N, MONTH YEAR
+Retrieving Similar Styles to Parse Clothing
+Kota Yamaguchi, Member, IEEE, M. Hadi Kiapour, Student Member, IEEE,
+Luis E. Ortiz, and Tamara L. Berg, Member, IEEE"

+aed5aecd3f0a07036e570c84c06cd37ab8904acc,The Resiliency of Memorability: A Predictor of Memory Separate from Attention and Priming,"The Resiliency of Memorability: A Predictor of Memory
+Separate from Attention and Priming
+Wilma A. Bainbridge
+Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology. Cambridge, MA. USA.
+Keywords: Memorability, top-down attention, bottom-up attention, priming, visual search,
+spatial cueing, directed forgetting, depth of encoding"

+ae87896c38f1871457d811a0588487db0155a833,Attentional allocation of ASD individuals : Searching for a Face - in - the - Crowd,"Attentional allocation of ASD individuals: Searching for a Face-in-the-Crowd
+David J. Moore, John Reidy and Lisa Heavey
+Department of Psychology, Sociology and Politics,
+Sheffield Hallam University
+Running Header: Attentional allocation of ASD individuals"

+aef3ecc926ed79478f9d1f38c0fec2a29bae9c3b,Counting in High Density Crowd Videos,"Counting in High Density Crowd Videos
+Edgar Lopez
+University of Texas at El Paso"

+aee90db1f66b77113b0a62701deb01ca96b6d9e6,"Discriminant Saliency, the Detection of Suspicious Coincidences, and Applications to Visual Recognition","JUNE 2009
+Discriminant Saliency, the Detection
+of Suspicious Coincidences,
+nd Applications to Visual Recognition
+Dashan Gao, Member, IEEE, Sunhyoung Han, Student Member, IEEE, and
+Nuno Vasconcelos, Senior Member, IEEE"

+d88e3d5ca820cb240de4b662f0a6fd1172a678c7,Image Quality-based Adaptive Illumination Normalisation for Face Recognition,"Harin Sellahewa and Sabah A. Jassim, ""Image quality-based adaptive illumination normalisation for face recognition"",
+Proc.  SPIE  7306,  Optics  and  Photonics  in  Global  Homeland  Security  V  and  Biometric  Technology  for  Human
+Identification VI, 73061V (May 05, 2009); doi:10.1117/12.819087; http://dx.doi.org/10.1117/12.819087
+Copyright 2009 Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for
+personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for
+ommercial purposes, or modification of the content of the paper are prohibited.” (http://spie.org/x1125.xml)"

+d84263e22c7535cb1a2a72c88780d5a407bd9673,Stability of Scattering Decoder For Nonlinear Diffractive Imaging,"Stability of Scattering Decoder for Nonlinear Diffractive Imaging
+Yu Sun1 and Ulugbek S. Kamilov1,2
+Department of Computer Science & Engineering, Washington University in St Louis.
+Department of Electrical & Systems Engineering, Washington University in St. Louis"

+d80564cea654d11b52c0008891a0fd2988112049,Semi-supervised Conditional GANs,"Semi-supervised Conditional GANs
+Kumar Sricharan∗1, Raja Bala1, Matthew Shreve1,
+Hui Ding1, Kumar Saketh2, and Jin Sun1
+Interactive and Analytics Lab, Palo Alto Research Center, Palo Alto, CA
+Verizon Labs, Palo Alto, CA
+August 22, 2017"

+d827c72d6c9e35066b40bd205bbd71ce487a1c39,Ensemble of Face/eye Detectors for Accurate Automatic Face Detection,"International Journal of Latest Research in Science
+Volume 4, Issue 3: Page No.8-18, May-June 2015
+http://www.mnkjournals.com/ijlrst.htm
+nd Technology           ISSN (Online):2278-5299
+ENSEMBLE OF FACE/EYE DETECTORS FOR
+ACCURATE AUTOMATIC FACE DETECTION
+Loris Nanni, 2Alessandra Lumini, 3Sheryl Brahnam
+Department of Information Engineering at the University of Padua, Padua, Italy
+DISI, University of Bologna, Cesena, Italy
+Computer Information Systems, Missouri State University, USA"

+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"

+d833c48334e906537f21757b6f9fa44da66f6c76,MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement,"MEMC-Net: Motion Estimation and Motion
+Compensation Driven Neural Network for
+Video Interpolation and Enhancement
+Wenbo Bao, Wei-Sheng Lai, Xiaoyun Zhang, Zhiyong Gao, and Ming-Hsuan Yang"

+d8d1fb804d1f4760393c6fd70c9072fa1b39f02c,An Efficient Approach to Onboard Stereo Vision System Pose Estimation,"An Efficient Approach to Onboard Stereo
+Vision System Pose Estimation
+Angel Domingo Sappa, Member, IEEE, Fadi Dornaika, Daniel Ponsa, David Gerónimo, and Antonio López"

+d8abf01fce0d44665949e7a73716fff7731fa6da,Places: An Image Database for Deep Scene Understanding,"Places: An Image Database for Deep Scene
+Understanding
+Bolei Zhou, Aditya Khosla, Agata Lapedriza, Antonio Torralba and Aude Oliva"

+d8b58c5b403dc28437af8244ec812efdfbc6b2e0,MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation,"MVOR: A Multi-view RGB-D Operating Room
+Dataset for 2D and 3D Human Pose Estimation
+Vinkle Srivastav1, Thibaut Issenhuth1, Abdolrahim Kadkhodamohammadi1,
+Michel de Mathelin1, Afshin Gangi1,2, and
+Nicolas Padoy1
+ICube, University of Strasbourg, CNRS, IHU Strasbourg, France
+Radiology Department, University Hospital of Strasbourg, France"

+d813ec3a3442f2885b76ac0133c4c5d76f9f8065,Panoptic Studio: A Massively Multiview System for Social Interaction Capture,"Panoptic Studio: A Massively Multiview System
+for Social Interaction Capture
+Hanbyul Joo, Tomas Simon, Xulong Li, Hao Liu, Lei Tan, Lin Gui, Sean Banerjee, Timothy Godisart,
+Bart Nabbe, Iain Matthews, Takeo Kanade, Shohei Nobuhara, and Yaser Sheikh"

+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"

+d809c0ab068861c139a544e5d8eeaa73cc8a3f6b,Monocular Semantic Occupancy Grid Mapping with Convolutional Variational Encoder-Decoder Networks,"Monocular Semantic Occupancy Grid Mapping
+with Convolutional Variational Encoder-Decoder Networks
+Chenyang Lu1, Ren´e van de Molengraft2, and Gijs Dubbelman1"

+d888895cd56d336aa1367fac8072da782bdbc0fb,AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks,"AttnGAN: Fine-Grained Text to Image Generation
+with Attentional Generative Adversarial Networks
+Tao Xu∗1, Pengchuan Zhang2, Qiuyuan Huang2,
+Han Zhang3, Zhe Gan4, Xiaolei Huang1, Xiaodong He2
+Lehigh University 2Microsoft Research 3Rutgers University 4Duke University
+{tax313, {penzhan, qihua,"

+d82b93f848d5442f82154a6011d26df8a9cd00e7,Neural Network Based Age Classification Using Linear Wavelet Transforms,"NEURAL NETWORK BASED AGE CLASSIFICATION USING
+LINEAR WAVELET TRANSFORMS
+NITHYASHRI JAYARAMAN1 & G.KULANTHAIVEL2
+Department of Computer Science & Engineering,
+Sathyabama University Old Mamallapuram Road, Chennai, India
+Electronics Engineering, National Institute of  Technical Teachers
+Training & Research, Taramani, Chennai, India
+E-mail :"

+d881a59d00971c754e02bfaaf4c48ec6dfbc1343,Neighborhood Sensitive Mapping for Zero-Shot Classification using Independently Learned Semantic Embeddings,"Neighborhood Sensitive Mapping for Zero-Shot
+Classification using Independently Learned
+Semantic Embeddings
+Gaurav Singh1, Fabrizio Silvestri2, and John Shawe-Taylor1
+UCL, UK
+Yahoo, UK"

+d87ccfc42cf6a72821d357aab0990e946918350b,Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search,"Exploiting the Potential of Standard Convolutional Autoencoders
+for Image Restoration by Evolutionary Search
+Masanori Suganuma 1 2 Mete Ozay 1 Takayuki Okatani 1 2"

+d84568d42a02b6d365889451f208f423edb1f0f3,Age Synthesis and Estimation From Face Image Ms,"www.ijecs.in
+International Journal Of Engineering And Computer Science ISSN:2319-7242
+Volume 3 Issue 4 April, 2014 Page No. 5462-5466
+Age Synthesis and Estimation From Face Image
+Ms. Deepali R. gadbail1, Prof. S.S. Dhande2, Prof.Kanchan M. Pimple3
+M s. Deepali R Gadbail,
+Computer Science and Engineering Department,
+Sipna COET,Amravati.
+Prof. S. S. Dhande,
+Computer Science and Engineering Department,
+Sipna COET,Amravati.
+Prof.Kanchan M . Pimple,
+IBSS College of engg. & tech.,Amravati"

+d83d2fb5403c823287f5889b44c1971f049a1c93,Introducing the sick face,"Motiv Emot
+DOI 10.1007/s11031-013-9353-6
+O R I G I N A L P A P E R
+Introducing the sick face
+Sherri C. Widen • Joseph T. Pochedly •
+Kerrie Pieloch • James A. Russell
+Ó Springer Science+Business Media New York 2013"

+d8671247f6188620c6e382ffcd15d3e909647c63,Multicamera human detection and tracking supporting natural interaction with large-scale displays,"DOI 10.1007/s00138-012-0408-6
+ORIGINAL PAPER
+Multicamera human detection and tracking supporting natural
+interaction with large-scale displays
+Xenophon Zabulis · Dimitris Grammenos ·
+Thomas Sarmis · Konstantinos Tzevanidis ·
+Pashalis Padeleris · Panagiotis Koutlemanis ·
+Antonis A. Argyros
+Received: 8 March 2011 / Revised: 9 January 2012 / Accepted: 17 January 2012
+© Springer-Verlag 2012"

+d8db46f1775641051d8596dad3d37d1d731558f7,Survey on Deep Learning Techniques for Person Re-Identification Task,

+d8b568392970b68794a55c090c4dd2d7f90909d2,PDA Face Recognition System Using Advanced Correlation Filters,"PDA Face  Recognition  System
+Using  Advanced  Correlation
+Filters
+Chee  Kiat  Ng
+Advisor:  Prof.  Khosla/Reviere"

+d83ae5926b05894fcda0bc89bdc621e4f21272da,Frugal Forests: Learning a Dynamic and Cost Sensitive Feature Extraction Policy for Anytime Activity Classification,"The Thesis committee for Joshua Allen Kelle certifies that this is the approved
+version of the following thesis:
+Frugal Forests: Learning a Dynamic and Cost Sensitive
+Feature Extraction Policy for Anytime Activity Classification
+APPROVED BY
+SUPERVISING COMMITTEE:
+Kristen Grauman, Supervisor
+Peter Stone"

+d8029237cde893218d21ba551fd127d045ae3422,Eye-Strip based Person Identification based on Non-Subsampled Contourlet Transform,"International Journal of Computer Applications (0975 – 8887)
+Volume 121 – No.12, July 2015
+Eye-Strip based Person Identification based on
+Non-Subsampled Contourlet Transform
+Hemprasad Y. Patil
+Dept. of ECE
+Visvesvaraya National Institute
+of Technology, Nagpur, India
+Ashwin G. Kothari
+Dept. of ECE
+Visvesvaraya National Institute
+of Technology, Nagpur, India
+Kishor M. Bhurchandi
+Dept. of ECE
+Visvesvaraya National Institute
+of Technology, Nagpur, India
+transform
+sub-band"

+d8af6a45eaea68adda8597ae65f91ece152f7b21,Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation,"Sparse and Dense Data with CNNs:
+Depth Completion and Semantic Segmentation
+Maximilian Jaritz1, 2, Raoul de Charette1, Emilie Wirbel2, Xavier Perrotton2, Fawzi Nashashibi1
+{maximilian.jaritz, raoul.de-charette,
+Inria RITS Team
+{emilie.wirbel,
+Valeo"

+d806790866ab9bad77f60436fe77232db8e0c1ba,Deep Directional Network for Object Tracking,"Article
+Deep Directional Network for Object Tracking
+Zhaohua Hu 1,2,* and Xiaoyi Shi 1
+School of Electronic & Information Engineering, Nanjing University of Information Science & Technology,
+Nanjing 210044, China;
+Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology,
+Nanjing University of Information Science & Technology, Nanjing 210044, China
+* Correspondence: Tel.: +86-025-58731196
+Received: 10 October 2018; Accepted: 1 November 2018; Published: 5 November 2018"

+d82681348489f4f04690e65b9ffe21b68c89b5ff,Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination,"ORIGINAL RESEARCH
+published: 10 April 2017
+doi: 10.3389/fnbot.2017.00019
+Cross-Subject EEG Feature Selection
+for Emotion Recognition Using
+Transfer Recursive Feature
+Elimination
+Zhong Yin 1*, Yongxiong Wang 1*, Li Liu 1, Wei Zhang 1 and Jianhua Zhang 2
+Shanghai Key Lab of Modern Optical System, Engineering Research Center of Optical Instrument and System, Ministry of
+Education, University of Shanghai for Science and Technology, Shanghai, China, 2 Department of Automation, East China
+University of Science and Technology, Shanghai, China
+Using machine-learning methodologies to analyze EEG signals becomes increasingly
+ttractive for recognizing human emotions because of the objectivity of physiological
+data and the capability of the learning principles on modeling emotion classifiers from
+heterogeneous features. However, the conventional subject-specific classifiers may
+induce additional burdens to each subject for preparing multiple-session EEG data
+s training sets. To this end, we developed a new EEG feature selection approach,
+transfer recursive feature elimination (T-RFE), to determine a set of the most robust EEG
+indicators with stable geometrical distribution across a group of training subjects and
+specific testing subject. A validating set is introduced to independently determine"

+d86fabd4498c8feaed80ec342d254fb877fb92f5,Region-Object Relevance-Guided Visual Relationship Detection,"Y. GOUTSU: REGION-OBJECT RELEVANCE-GUIDED VRD
+Region-Object Relevance-Guided
+Visual Relationship Detection
+Yusuke Goutsu
+National Institute of Informatics
+Tokyo, Japan"

+d8e061960423a17748dedbcfe4b6a6918f79c262,Fast Prototyping and Computationally Intensive Experiments,"Armadillo: An Open Source C++ Linear Algebra Library for
+Fast Prototyping and Computationally Intensive Experiments
+Conrad Sanderson
+http://conradsanderson.id.au
+Technical Report, NICTA, Australia
+http://nicta.com.au
+September 2010
+(revised December 2011)"

+d865c5e85191cfc0da714290d8583a2fb1179fd4,"Learning Hierarchical Space Tiling for Scene Modeling, Parsing and Attribute Tagging","Learning Hierarchical Space Tiling for Scene
+Modeling, Parsing and Attribute Tagging
+Shuo Wang, Yizhou Wang, and Song-Chun Zhu"

+d8f7b26d25a026fe43487b6f77993e11b8b333e0,Photo Indexing and Retrieval based on Content and Context,"PhD Dissertation
+International Doctorate School in Information and
+Communication Technologies
+DISI - University of Trento
+Photo Indexing and Retrieval
+ased on Content and Context
+Mattia Broilo
+Advisor:
+Prof. Francesco G. B. De Natale
+Universit`a degli Studi di Trento
+February 2011"

+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"

+d88eb94d7054d2668b1a8dfa311721f37ae1f059,Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering,"Straight to the Facts: Learning Knowledge Base
+Retrieval for Factual Visual Question Answering
+Medhini Narasimhan, Alexander G. Schwing
+University of Illinois Urbana-Champaign"

+d81dbc2960e527e91c066102aabdaf9eb8b15f85,Deep Directed Generative Models with Energy-Based Probability Estimation,"Deep Directed Generative Models
+with Energy-Based Probability Estimation
+Taesup Kim, Yoshua Bengio∗
+Department of Computer Science and Operations Research
+Université de Montréal
+Montréal, QC, Canada"

+d8c04365ed0627a5043996cdd26c1a56b5a630b8,Learning Monocular Depth Estimation with Unsupervised Trinocular Assumptions,"Learning monocular depth estimation with unsupervised trinocular assumptions
+Matteo Poggi, Fabio Tosi, Stefano Mattoccia
+University of Bologna, Department of Computer Science and Engineering
+Viale del Risorgimento 2, Bologna, Italy
+{m.poggi, fabio.tosi5,"

+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"

+ab87ab1cf522995510561cd9f494223704f1de91,Human Centric Facial Expression Recognition,"Human Centric Facial Expression Recognition
+K. Clawson 1*, L. S. Delicato, 2** and C. Bowerman, 1***
+Faculty of Computer Science, University of Sunderland, Sunderland, SR1 3SD, UK
+. Faculty of Health, Sciences and Wellbeing, University of Sunderland, SR1 3QR, UK
+Facial expression recognition (FER) is an area of active research, both in computer science and in
+ehavioural science. Across these domains there is evidence to suggest that humans and machines
+find it easier to recognise certain emotions, for example happiness, in comparison to others. Recent
+ehavioural studies have explored human perceptions of emotion further, by evaluating the relative
+ontribution  of  features  in  the  face  when  evaluating  human  sensitivity  to  emotion.  It  has  been
+identified that certain facial regions have more salient features for certain expressions of emotion,
+especially when emotions are subtle in nature. For example, it is easier to detect fearful expressions
+when the eyes are expressive. Using this observation as a starting point for analysis, we similarly
+examine  the  effectiveness with which knowledge  of  facial  feature  saliency  may  be  integrated  into
+urrent approaches to automated FER. Specifically, we compare and evaluate the accuracy of ‘full-
+face’ versus upper and lower facial area convolutional neural network (CNN) modelling for emotion
+recognition in static images, and propose a human centric CNN hierarchy which uses regional image
+inputs  to  leverage  current  understanding  of  how  humans  recognise  emotions  across  the  face.
+Evaluations  using  the  CK+  dataset  demonstrate  that  our  hierarchy  can  enhance  classification
+ccuracy
+individual  CNN  architectures,  achieving  overall  true  positive"

+ab8f9a6bd8f582501c6b41c0e7179546e21c5e91,Nonparametric Face Verification Using a Novel Face Representation,"Nonparametric Face Verification Using a Novel
+Face Representation
+Hae Jong Seo, Student Member, IEEE, Peyman Milanfar, Fellow, IEEE,"

+ab58a7db32683aea9281c188c756ddf969b4cdbd,Efficient Solvers for Sparse Subspace Clustering,"Efficient Solvers for Sparse Subspace Clustering
+Farhad Pourkamali-Anaraki and Stephen Becker"

+aba770a7c45e82b2f9de6ea2a12738722566a149,Face Recognition in the Scrambled Domain via Salience-Aware Ensembles of Many Kernels,"Face Recognition in the Scrambled Domain via Salience-Aware
+Ensembles of Many Kernels
+Jiang, R., Al-Maadeed, S., Bouridane, A., Crookes, D., & Celebi, M. E. (2016). Face Recognition in the
+Scrambled Domain via Salience-Aware Ensembles of Many Kernels. IEEE Transactions on Information
+Forensics and Security, 11(8), 1807-1817. DOI: 10.1109/TIFS.2016.2555792
+Published in:
+Document Version:
+Peer reviewed version
+Queen's University Belfast - Research Portal:
+Link to publication record in Queen's University Belfast Research Portal
+Publisher rights
+(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/
+republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists,
+or reuse of any copyrighted components of this work in other works.
+General rights
+Copyright for the publications made accessible via the Queen's University Belfast Research Portal is retained by the author(s) and / or other
+opyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated
+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"

+ab8af4cb5243544e38852bb670aafe5a2fd9b3ec,Real-Time Human Detection Using Relational Depth Similarity Features,"Real-Time Human Detection using Relational
+Depth Similarity Features
+Sho Ikemura, Hironobu Fujiyoshi
+Dept. of Computer Science, Chubu University.
+Matsumoto 1200, Kasugai, Aichi, 487-8501 Japan.
+http://www.vision.cs.chubu.ac.jp"

+ab302d79e419348499acbda4a627b67dec89936f,Robust Correlated and Individual Component Analysis,"JOURNAL OF LATEX CLASS FILES, VOL. 6, NO. 1, JANUARY 2014
+Robust Correlated and Individual Component
+Analysis
+Yannis Panagakis, Member, IEEE, Mihalis A. Nicolaou, Member, IEEE,
+Stefanos Zafeiriou, Member, IEEE, and Maja Pantic, Fellow, IEEE"

+abfcafaa765433b8f5b8be7eae392a8daec54b8e,Facial EMG Responses to Emotional Expressions Are Related to Emotion Perception Ability,"Facial EMG Responses to Emotional Expressions Are
+Related to Emotion Perception Ability
+Janina Ku¨ necke1*, Andrea Hildebrandt1, Guillermo Recio1,2, Werner Sommer1, Oliver Wilhelm2
+Department of Psychology, Humboldt Universita¨t zu Berlin, Berlin, Germany, 2 Department of Psychology, University Ulm, Ulm, Germany"

+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:"

+abc4d51d510cd8222484f7f4f11a739e8bce42ff,On Fast Non-metric Similarity Search by Metric Access Methods,"On Fast Non-metric Similarity Search
+y Metric Access Methods
+Tom´aˇs Skopal
+Charles University in Prague, FMP, Department of Software Engineering,
+Malostransk´e n´am. 25, 118 00 Prague 1, Czech Republic"

+ab98abfbdfd700c27bee31ca1f8850db72120c5d,Video Event Detection by Exploiting Word Dependencies from Image Captions,"Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers,
+pages 3318–3327, Osaka, Japan, December 11-17 2016."

+ab8778793b0f2f06d9e97b6277f3b1125f31432c,Stochastic Models for Face Image Analysis,"Stochastic Models for Face Image Analysis
+St(cid:19)ephane Marchand-Maillet and Bernard M(cid:19)erialdo
+Department of Multimedia Communications
+Institut EURECOM { B.P. 
	
+
+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"

+abddbb57258d85b1f3d9789128fd284d30a91e23,A research and education initiative at the MIT Sloan School of Management Network Structure & Information Advantage Paper 235,"A research and education initiative at the MIT
+Sloan School of Management
+Network Structure & Information Advantage
+Paper 235
+Sinan Aral
+Marshall Van Alstyne
+July 2007
+For more information,
+please visit our website at  http://digital.mit.edu
+or contact the Center directly at
+or 617-253-7054"

+abba22ed4713a5ee5fa91fcf7b8dde58a9b621db,Acquisition of a 3D Audio-Visual Corpus of Affective Speech,"BIWI Technical Report n. 270
+Acquisition of a 3D Audio-Visual Corpus of
+Affective Speech
+Gabriele Fanelli, Juergen Gall, Harald Romsdorfer, Thibaut Weise,
+nd Luc Van Gool"

+ab69f49fedb6936ce04b2e9d1f161772b2f24b7d,Architecture-aware optimization of an HEVC decoder on asymmetric multicore processors,"(will be inserted by the editor)
+Architecture-Aware Optimization of an HEVC decoder on
+Asymmetric Multicore Processors
+Rafael Rodr´ıguez-S´anchez · Enrique S. Quintana-Ort´ı
+Received: date / Revised: date"

+ab6776f500ed1ab23b7789599f3a6153cdac84f7,A Survey on Various Facial Expression Techniques,"International Journal of Scientific & Engineering Research, Volume 6, Issue 4, April-2015                                                                                                   1212
+ISSN 2229-5518
+A Survey on Various Facial Expression
+Techniques
+Md. Sarfaraz Jalil, Joy Bhattacharya"

+ab036048cf90296171ad2bb7265c5a5b7f3252f7,Multimodal Recurrent Neural Networks With Information Transfer Layers for Indoor Scene Labeling,"Multimodal Recurrent Neural Networks with
+Information Transfer Layers for Indoor Scene
+Labeling
+Abrar H. Abdulnabi, Student Member, IEEE, Bing Shuai, Student Member, IEEE,
+Zhen Zuo, Student Member, IEEE, Lap-Pui Chau, Fellow, IEEE, and Gang Wang, Senior Member, IEEE"

+ab1719f573a6c121d7d7da5053fe5f12de0182e7,Combining visual recognition and computational linguistics : linguistic knowledge for visual recognition and natural language descriptions of visual content,"Combining Visual Recognition
+nd Computational Linguistics
+Linguistic Knowledge for Visual Recognition
+nd Natural Language Descriptions
+of Visual Content
+Thesis for obtaining the title of
+Doctor of Engineering Science
+(Dr.-Ing.)
+of the Faculty of Natural Science and Technology I
+of Saarland University
+Marcus Rohrbach, M.Sc.
+Saarbrücken
+March 2014"

+ab559473a01836e72b9fb9393d6e07c5745528f3,cGANs with Projection Discriminator,"Published as a conference paper at ICLR 2018
+CGANS WITH PROJECTION DISCRIMINATOR
+Takeru Miyato1, Masanori Koyama2
+Preferred Networks, Inc. 2Ritsumeikan University"

+abe9f3b91fd26fa1b50cd685c0d20debfb372f73,The Pascal Visual Object Classes Challenge: A Retrospective,"(will be inserted by the editor)
+The Pascal Visual Object Classes Challenge – a Retrospective
+Mark Everingham, S. M. Ali Eslami, Luc Van Gool,
+Christopher K. I. Williams, John Winn, Andrew Zisserman
+Received: date / Accepted: date"

+ab969cfae95f62d68c61830128b35786eb6c84a9,Contents 1 Introduction 2,"Contents1Introduction22Tracking:FundamentalNotions22.1Trackingbydetection........................................22.2TrackingusingFlow........................................22.3Flowmodelsfromkinematicmodels................................22.4TrackingwithProbability......................................23Tracking:Relationsbetween3Dand2D23.1KinematicInferencewithMultipleViews.............................23.2Liftingto3D............................................33.3MultipleModes,RandomizedSearchandHumanTracking....................34Tracking:DataAssociationforHumanTracking54.1DetectingHumans.........................................54.2TrackingbyMatchingRevisited..................................64.3Evaluation..............................................75MotionSynthesisandAnimation95.1Motioncapture...........................................95.2Footskate..............................................95.3ResolvingKinematicAmbiguitieswithExamples.........................95.4MotionSignalProcessing......................................95.5MotionGraphs...........................................95.6MotionPrimitives..........................................105.7EnrichingaMotionCollection...................................105.8MotionfromPhysicalConsiderations...............................105.8.1SimplifiedCharacters....................................105.8.2ModifiedPhysics......................................115.8.3ReducedDimensions....................................115.8.4ModifyingExistingMotions................................116DescribingActivities126.1WhatshouldanActivityRepresentationdo?............................126.1.1NecessaryPropertiesofanActivityRepresentation....................136.1.2WhatDataisAvailable?..................................136.2MiscellaneousMethods.......................................146.2.1ActivityRepresentationMethodsbasedaroundTemporalLogics.............146.2.2ActivityRepresentationMethodsbasedonTemplates...................146.3ActivityRepresentationusingHiddenMarkovModelsandFiniteStateRepresentations.....146.4TheSpeechAnalogy........................................146.4.1FiniteStateTransducers..................................156.4.2WhyshouldweCare?...................................156.5ActivityRecognitionMethodsbasedaroundHMM’s.......................166.6SignLanguageRecognition.....................................176.7Morerecentmaterial........................................171"

+ab2b09b65fdc91a711e424524e666fc75aae7a51,Multi-modal Biomarkers to Discriminate Cognitive State *,"Multi-modal Biomarkers to Discriminate Cognitive State*
+Thomas F. Quatieri 1, James R. Williamson1, Christopher J. Smalt1,
+Joey Perricone, Tejash Patel, Laura Brattain, Brian S. Helfer, Daryush D. Mehta, Jeffrey Palmer
+Kristin Heaton2, Marianna Eddy3, Joseph Moran3
+MIT Lincoln Laboratory, Lexington, Massachusetts, USA
+USARIEM, 3NSRDEC
+. Introduction
+Multimodal biomarkers based on behavorial, neurophysiolgical, and cognitive measurements have
+recently obtained increasing popularity in the detection of cognitive stress- and neurological-based
+disorders. Such conditions are significantly and adversely affecting human performance and quality
+of life for a large fraction of the world’s population. Example modalities used in detection of these
+onditions  include  voice,  facial  expression,  physiology,  eye  tracking,  gait,  and  EEG  analysis.
+Toward  the  goal  of  finding  simple,  noninvasive  means  to  detect,  predict  and  monitor  cognitive
+stress and neurological conditions, MIT Lincoln Laboratory is developing biomarkers that satisfy
+three  criteria.  First,  we  seek  biomarkers  that  reflect  core  components  of  cognitive  status  such  as
+working memory capacity, processing speed, attention, and arousal. Second, and as importantly, we
+seek  biomarkers  that  reflect  timing  and  coordination  relations  both  within  components  of  each
+modality and across different modalities. This is based on the hypothesis that neural coordination
+cross different parts of the brain is essential in cognition (Figure 1). An example of timing and
+oordination  within  a  modality  is  the  set  of  finely  timed  and  synchronized  physiological"

+abb1289cfdc4c23d72d0680c3ec100eae74d4fdb,PatchMatch: A Fast Randomized Matching Algorithm with Application to Image and Video,"PatchMatch: A Fast Randomized Matching
+Algorithm with Application to Image and Video
+Connelly Barnes
+A Dissertation
+Presented to the Faculty
+of Princeton University
+in Candidacy for the Degree
+of Doctor of Philosophy
+Recommended for Acceptance
+y the Department of
+Computer Science
+Adviser: Adam Finkelstein
+May 2011"

+ab43c43d5eb2c5bee6de1b25c8bcb8068ab8bcd2,Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-wise Loss,"Deep Class-Wise Hashing:
+Semantics-Preserving Hashing via Class-wise Loss
+Xuefei Zhe, Shifeng Chen, Member, IEEE, and Hong Yan, Fellow, IEEE"

+ab87dfccb1818bdf0b41d732da1f9335b43b74ae,Structured Dictionary Learning for Classification,"SUBMITTED TO IEEE TRANSACTIONS ON SIGNAL PROCESSING
+Structured Dictionary Learning for Classification
+Yuanming Suo, Student Member, IEEE, Minh Dao, Student Member, IEEE, Umamahesh Srinivas, Student
+Member, IEEE, Vishal Monga, Senior Member, IEEE, and Trac D. Tran, Fellow, IEEE"

+abc1ef570bb2d7ea92cbe69e101eefa9a53e1d72,Raisonnement abductif en logique de description exploitant les domaines concrets spatiaux pour l'interprétation d'images,"Raisonnement abductif en logique de
+description exploitant les domaines concrets
+spatiaux pour l’interprétation d’images
+Yifan Yang 1, Jamal Atif 2, Isabelle Bloch 1
+. LTCI, Télécom ParisTech, Université Paris-Saclay, Paris, France
+. Université Paris-Dauphine, PSL Research University, CNRS, UMR 7243,
+LAMSADE, 75016 Paris, France
+RÉSUMÉ. L’interprétation d’images a pour objectif non seulement de détecter et reconnaître des
+objets dans une scène mais aussi de fournir une description sémantique tenant compte des in-
+formations contextuelles dans toute la scène. Le problème de l’interprétation d’images peut être
+formalisé comme un problème de raisonnement abductif, c’est-à-dire comme la recherche de la
+meilleure explication en utilisant une base de connaissances. Dans ce travail, nous présentons
+une nouvelle approche utilisant une méthode par tableau pour la génération et la sélection
+d’explications possibles d’une image donnée lorsque les connaissances, exprimées dans une
+logique de description, comportent des concepts décrivant les objets mais aussi les relations
+spatiales entre ces objets. La meilleure explication est sélectionnée en exploitant les domaines
+oncrets pour évaluer le degré de satisfaction des relations spatiales entre les objets."

+abb3df5b61dc7550db96fc112f98fb99a9db8c93,End-to-End Learning of Deep Visual Representations for Image Retrieval,"Noname manuscript No.
+(will be inserted by the editor)
+End-to-end Learning of Deep Visual Representations
+for Image Retrieval
+Albert Gordo · Jon Almaz´an · Jerome Revaud · Diane Larlus
+Received: date / Accepted: date"

+ab450a7968555532d9ea79f81189c0d52f9c5f11,RGB-D Face Recognition in Surveillance Videos,"RGB-D Face Recognition in Surveillance Videos
+Anurag Chowdhury
+IIIT-D-MTech-CS-GEN-14-002
+June 23, 2016
+Indraprastha Institute of Information Technology Delhi
+New Delhi
+Thesis Advisors
+Dr. Richa Singh
+Dr. Mayank Vatsa
+Submitted in partial fulfillment of the requirements
+for the Degree of M.Tech. in Computer Science
+(cid:13) Chowdhury, 2016
+Keywords : RGB-D, Kinect, Face Detection, Face Recognition, Deep Learning"

+abeda55a7be0bbe25a25139fb9a3d823215d7536,Understanding Human-Centric Images: From Geometry to Fashion,"UNIVERSITATPOLITÈCNICADECATALUNYAProgramadeDoctorat:AUTOMÀTICA,ROBÒTICAIVISIÓTesiDoctoralUnderstandingHuman-CentricImages:FromGeometrytoFashionEdgarSimoSerraDirectors:FrancescMorenoNoguerCarmeTorrasMay2015"

+ab1f98b59fa98216f052ae19adce6fd94ebb800d,"Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos","Preprint submitted to International Journal of Computer Vision manuscript No.
+(will be inserted by the editor)
+Explaining First Impressions: Modeling,
+Recognizing, and Explaining Apparent Personality
+from Videos
+Hugo Jair Escalante∗ · Heysem Kaya∗ ·
+Albert Ali Salah∗ · Sergio Escalera ·
+Ya˘gmur G¨u¸cl¨ut¨urk · Umut G¨u¸cl¨u ·
+Xavier Bar´o · Isabelle Guyon · Julio
+Jacques Junior · Meysam Madadi ·
+Stephane Ayache · Evelyne Viegas ·
+Furkan G¨urpınar · Achmadnoer Sukma
+Wicaksana · Cynthia C. S. Liem ·
+Marcel A. J. van Gerven · Rob van Lier
+Received: date / Accepted: date
+Means equal contribution by the authors.
+Hugo Jair Escalante
+INAOE, Mexico and ChaLearn, USA E-mail:
+Heysem Kaya
+Namık Kemal University, Department of Computer Engineering, Turkey"

+abf659847660763c94b44c0baaf9198046a11845,Video Image Object Tracking Algorithm based on Improved Principal Component Analysis,"Video Image Object Tracking Algorithm based
+on Improved Principal Component Analysis
+. Engineering Technology Research Center of Optoelectronic Technology Appliance, AnHui Tongling Anhui 244000,
+. Hefei University of Technology, Hefei Anhui 230009, China
+China
+Wang Liping 1, 2
+dopts
+DPCA
+lgorithm
+to  reduce  dimension  of  object"

+ab41364a58b34844b281046c3d8678f7d537a97e,Learning Deep Hierarchical Visual Feature Coding,"Learning Deep Hierarchical Visual Feature Coding
+Hanlin Goh, Nicolas Thome, Member, IEEE, Matthieu Cord, Member, IEEE, and Joo-Hwee Lim, Member, IEEE"

+ab8fb278db4405f7db08fa59404d9dd22d38bc83,Implicit and Automated Emotional Tagging of Videos,"UNIVERSITÉ DE GENÈVE
+Département d'Informatique
+FACULTÉ DES SCIENCES
+Professeur Thierry Pun
+Implicit and Automated Emotional
+Tagging of Videos
+THÈSE
+présenté à la Faculté des sciences de l'Université de Genève
+pour obtenir le grade de Docteur ès sciences, mention informatique
+Mohammad SOLEYMANI
+Téhéran (IRAN)
+Thèse No 4368
+GENÈVE
+Repro-Mail - Université de Genève"

+ab03a1656d9e45c80379512161f6c90dfbb0b6b3,Active Learning for Regression Tasks with Expected Model Output Changes,"KÄDING ET AL.: ACTIVE LEARNING FOR REGRESSION TASKS WITH EMOC
+Active Learning for Regression Tasks
+with Expected Model Output Changes
+Computer Vision Group
+Friedrich Schiller University Jena
+Jena, Germany
+Carl Zeiss AG
+Jena, Germany
+Christoph Käding1
+Erik Rodner2
+Alexander Freytag2
+Oliver Mothes1
+Björn Barz1
+Joachim Denzler1"

+e5bcbfd346121769b674a7ad35e594758de5553f,A Dataset for Lane Instance Segmentation in Urban Environments,"A Dataset for Lane Instance Segmentation in
+Urban Environments
+Brook Roberts, Sebastian Kaltwang, Sina Samangooei,
+Mark Pender-Bare, Konstantinos Tertikas, and John Redford
+FiveAI Ltd., Cambridge CB2 1NS, U.K."

+e592f6dc3bf1d53044cd59ce4a75fdacd0ecc80d,Hand Vein Infrared Image Segmentation for Biometric Recognition,"Hand Vein Infrared Image Segmentation for Biometric
+Recognition
+Ignacio Irving Morales-Montiel1, J. Arturo Olvera-López1, Manuel Martín-Ortíz1, and
+Eber E. Orozco-Guillén2
+Facultad de Ciencias de la Computación
+Benemérita Universidad Autónoma de Puebla
+Av. San Claudio y 14 sur. Ciudad Universitaria.
+Puebla, Pue., Mexico
+Mazatlán, Sin., Mexico
+Programa de Ingeniería en Informática
+Universidad Politécnica de Sinaloa
+Carretera Municipal Libre Mazatlán Higueras Km. 3."

+e5c4b75cb79aa5155ffd9498b3fcc790eb794e72,Object Recognition using Discriminative Robust Local Binary Pattern,"WWW.IJITECH.ORG
+ISSN 2321-8665
+Vol.03,Issue.05,
+July-2015,
+Pages:0700-0706
+Object Recognition using Discriminative Robust Local Binary Pattern
+T. LAVANYA
+, A. SUJATHA
+PG Scholar, Dept of DE & CS, Dr.K.V.Subba Reddy Engineering College for Women, AP, India,
+Associate Professor, Dept of DE & CS, Dr.K.V.Subba Reddy Engineering College for Women, AP, India,
+E-mail:
+E-mail:"

+e5320955580401d5a5b2ae8b507e8f0b47e08118,Deep Supervision with Intermediate Concepts,"Deep Supervision with Intermediate Concepts
+Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, and Manmohan Chandraker"

+e5563a0d6a2312c614834dc784b5cc7594362bff,Real-Time Demographic Profiling from Face Imagery with Fisher Vectors,"Noname manuscript No.
+(will be inserted by the editor)
+Real-Time Demographic Profiling from Face Imagery with
+Fisher Vectors
+Lorenzo Seidenari · Alessandro Rozza · Alberto Del Bimbo
+Received: ... / Accepted: ..."

+e524f222a117890126bd9597934d0504adce85ec,Error Correction for Dense Semantic Image Labeling,"Yu-Hui Huang1∗ Xu Jia2∗ Stamatios Georgoulis1
+Tinne Tuytelaars2
+Luc Van Gool1,3
+KU-Leuven/ESAT-PSI, Toyota Motor Europe (TRACE)
+ETH/DITET-CVL
+KU-Leuven/ESAT-PSI, IMEC"

+e5823a9d3e5e33e119576a34cb8aed497af20eea,DocFace+: ID Document to Selfie Matching,"DocFace+: ID Document to Selfie* Matching
+Yichun Shi, Student Member, IEEE, and Anil K. Jain, Life Fellow, IEEE"

+e596a4aedb5cda6f0df35d38549564a0dd5546a7,Public Document Document Evolution Executive Summary,"Project N° IST-2002-507634 - BioSecure
+D 9.1.3 – Revision: b2
+09 June 2006
+Contract Number :
+Project Acronym :
+Project Title :
+Instrument :
+Start Date of Project :
+Duration :
+Deliverable Number :
+Title of Deliverable :
+Contractual Due Date :
+Actual Date of Completion :
+IST-2002-507634
+BioSecure
+Biometrics for Secure Authentication
+Network of Excellence
+01 June, 2004
+6 months
+D 9.1.3"

+e564268a03b21fa092390db0c11ba1c33d2323f9,Multi-view Stereo with Single-View Semantic Mesh Refinement,"Multi-View Stereo with Single-View Semantic Mesh Refinement
+Andrea Romanoni Marco Ciccone
+Francesco Visin Matteo Matteucci
+{andrea.romanoni, marco.ciccone, francesco.visin,
+Politecnico di Milano, Italy"

+e5dcec59afdab7c15e3a874e9b602b8fc42b9019,Nonparametric Video Retrieval and Frame Classification using Tiny Videos,"International Conference on Recent Trends in Computational Methods, Communication and Controls (ICON3C 2012)
+Proceedings published in International Journal of Computer Applications® (IJCA)
+Nonparametric Video Retrieval and Frame Classification
+using Tiny Videos
+A.K. M. Shanawas Fathima,
+PG Student,
+Department of CSE
+GCE, Tirunelveli.
+R. Kanthavel,
+Department of CSE,
+Government College of Engineering,
+Tirunelveli."

+e59a68c328c69c294991f87b741a5d4e952defba,NISTIR 7972 Performance Metrics for Evaluating Object and Human Detection and Tracking Systems,"This publication is available free of charge from http://dx.doi.org/10.6028/NIST.IR.7972
+NISTIR 7972
+Performance Metrics for Evaluating
+Object and Human Detection and
+Tracking Systems
+Afzal Godil
+Roger Bostelman
+Will Shackleford
+Tsai Hong
+Michael Shneier
+http://dx.doi.org/10.6028/NIST.IR.7972"

+e510f2412999399149d8635a83eca89c338a99a1,Face Recognition using Block-Based DCT Feature Extraction,"Journal of Advanced Computer Science and Technology, 1 (4) (2012) 266-283
+(cid:13)Science Publishing Corporation
+www.sciencepubco.com/index.php/JACST
+Face Recognition using Block-Based
+DCT Feature Extraction
+K Manikantan1, Vaishnavi Govindarajan1,
+V V S Sasi Kiran1, S Ramachandran2
+Department of Electronics and Communication Engineering,
+M S Ramaiah Institute of Technology, Bangalore, Karnataka, India 560054
+E-mail:
+E-mail:
+E-mail:
+Department of Electronics and Communication Engineering,
+S J B Institute of Technology, Bangalore, Karnataka, India 560060
+E-mail:"

+e56c4c41bfa5ec2d86c7c9dd631a9a69cdc05e69,Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art,"Human Activity Recognition Based on Wearable
+Sensor Data: A Standardization of the
+State-of-the-Art
+Artur Jord˜ao, Antonio C. Nazare Jr., Jessica Sena and William Robson Schwartz
+Smart Surveillance Interest Group, Computer Science Department
+Universidade Federal de Minas Gerais, Brazil
+Email: {arturjordao, antonio.nazare, jessicasena,"

+e5604c3f61eb7e8b80bf423f7828d8c1fa0f1d32,Towards Image Understanding from Deep Compression without Decoding,"Published as a conference paper at ICLR 2018
+TOWARDS IMAGE UNDERSTANDING FROM
+DEEP COMPRESSION WITHOUT DECODING
+Robert Torfason
+ETH Zurich, Merantix
+Fabian Mentzer
+ETH Zurich
+Eirikur Agustsson
+ETH Zurich
+Michael Tschannen
+ETH Zurich
+Radu Timofte
+ETH Zurich, Merantix
+Luc Van Gool
+ETH Zurich, KU Leuven"

+e5342233141a1d3858ed99ccd8ca0fead519f58b,Finger print and Palm print based Multibiometric Authentication System with GUI Interface,"ISSN: 2277 – 9043
+International Journal of Advanced Research in Computer Science and Electronics Engineering (IJARCSEE)
+Volume 2, Issue 2, February 2013
+Finger print and Palm print based Multibiometric
+Authentication System with GUI Interface
+KALAIGNANASELVI.A#1, NARASIMMALOU.T*2
+#PG Scholar, Dept. of CSE, Dr.Pauls Engineering College, Villupuram District, Tamilnadu, India.
+*Assistant Professor, Dept. of CSE, Dr.Pauls Engineering College, Villupuram District, Tamilnadu, India."

+e52be9a083e621d9ed29c8e9914451a6a327ff59,UvA - DARE ( Digital Academic Repository ) Communication and Automatic Interpretation of Affect from Facial Expressions,"UvA-DARE (Digital Academic Repository)
+Communication and Automatic Interpretation of Affect from Facial Expressions
+Salah, A.A.; Sebe, N.; Gevers, T.
+Published in:
+Affective computing and interaction: psychological, cognitive, and neuroscientific perspectives
+Link to publication
+Citation for published version (APA):
+Salah, A. A., Sebe, N., & Gevers, T. (2010). Communication and Automatic Interpretation of Affect from Facial
+Expressions. In D. Gökçay, & G. Yildirim (Eds.), Affective computing and interaction: psychological, cognitive,
+nd neuroscientific perspectives (pp. 157-183). Hershey, PA: Information Science Reference.
+General rights
+It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s),
+other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons).
+Disclaimer/Complaints regulations
+If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating
+your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask
+the Library: http://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam,
+The Netherlands. You will be contacted as soon as possible.
+Download date: 12 Sep 2017
+UvA-DARE is a service provided by the library of the University of Amsterdam (http://dare.uva.nl)"

+e5d13afe956d8581a69e9dc2d1f43a43f1e2f311,Automatic Facial Feature Extraction for Face Recognition,"We are IntechOpen,
+the world’s leading publisher of
+Open Access books
+Built by scientists, for scientists
+,700
+08,500
+.7 M
+Open access books available
+International  authors and editors
+Downloads
+Our authors are among the
+Countries delivered to
+TOP 1%
+2.2%
+most cited scientists
+Contributors from top 500 universities
+Selection of our books indexed in the Book Citation Index
+in Web of Science™ Core Collection (BKCI)
+Interested in publishing with us?
+Contact"

+e58434a01c45505995b000f5e631843a2f2ea582,Scale coding bag of deep features for human attribute and action recognition,"Noname manuscript No.
+(will be inserted by the editor)
+Scale Coding Bag of Deep Features for Human Attribute
+nd Action Recognition
+Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer,
+Andrew D. Bagdanov, Michael Felsberg, Jorma Laaksonen
+Received:"

+e58f08ad6e0edd567f217ef08de1701a8c29fcc8,Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing - and Back,"Pseudo-task Augmentation: From Deep Multitask
+Learning to Intratask Sharing—and Back
+Elliot Meyerson 1 2 Risto Miikkulainen 1 2"

+e577847c36251dc31282ad57ea969ea8297369be,Face scanning and spontaneous emotion preference in Cornelia de Lange syndrome and Rubinstein-Taybi syndrome,"Crawford et al. Journal of Neurodevelopmental Disorders  (2015) 7:22
+DOI 10.1186/s11689-015-9119-4
+R ES EAR CH
+Face scanning and spontaneous emotion
+preference in Cornelia de Lange syndrome
+nd Rubinstein-Taybi syndrome
+Hayley Crawford1,2*, Joanna Moss2,3, Joseph P. McCleery4, Giles M. Anderson5 and Chris Oliver2
+Open Access"

+e5799fd239531644ad9270f49a3961d7540ce358,Kinship classification by modeling facial feature heredity,"KINSHIP CLASSIFICATION BY MODELING FACIAL FEATURE HEREDITY
+Ruogu Fang1, Andrew C. Gallagher1, Tsuhan Chen1, Alexander Loui2
+Dept. of Elec. and Computer Eng., Cornell University 2Eastman Kodak Company"

+e5eb7fa8c9a812d402facfe8e4672670541ed108,Performance of PCA Based Semi-supervised Learning in Face Recognition Using MPEG-7 Edge Histogram Descriptor,"Performance of PCA Based Semi-supervised
+Learning in Face Recognition Using MPEG-7
+Edge Histogram Descriptor
+Shafin Rahman, Sheikh Motahar Naim, Abdullah Al Farooq and Md. Monirul Islam
+Department of Computer Science and Engineering
+Bangladesh University of Engineering and Technology(BUET)
+Dhaka-1000, Bangladesh
+Email: {shafin buet, naim sbh2007,"

+e2b8ba13586bb9a96e4813472d1f763d37ead47d,Media Content Access: Image-Based Filtering,"(IJACSA) International Journal of Advanced Computer Science and Applications,
+Vol. 9, No. 3, 2018
+Media Content Access: Image-Based Filtering
+Rehan Ullah Khan1, Ali Alkhalifah2
+Information Technology Department
+Qassim University, Al-Qassim, KSA"

+e2059946b69e0854f21919c1cf13c3f618f48d12,Deep Architectures and Ensembles for Semantic Video Classification,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2018
+Deep Architectures and Ensembles for Semantic
+Video Classification
+Eng-Jon Ong, Sameed Husain, Mikel Bober-Irizar, Miroslaw Bober∗"

+e267c813d8804019fbd8e018171dd05255b10fee,Performance Analysis of Pca Based Techniques for Face Authentication,"Canadian Journal of Pure and Applied Sciences
+Vol. 9, No. 1, pp. 3299-3306, February 2015
+Online ISSN: 1920-3853; Print ISSN: 1715-9997
+Available online at www.cjpas.net
+PERFORMANCE ANALYSIS OF PCA BASED TECHNIQUES
+FOR FACE AUTHENTICATION
+*Krishna Dharavath, Fazal Ahmed Talukdar, Rabul Hussain Laskar
+Speech and Image Processing Research Lab.,
+Department of Electronics and Communication Engineering
+National Institute of Technology Silchar, India"

+e2edc7e7a2832e2f6014945afce4f76643cab02c,Universität Augsburg An annotated data set for pose estimation of swimmers,"Universit¨at Augsburg
+An annotated data set for pose
+estimation of swimmers
+Thomas Greif and Rainer Lienhart
+Report 2009-18
+Januar 2010
+Institut f¨ur Informatik
+D-86135 Augsburg"

+e260847323b48a79bd88dd95a1499cd3053d3645,Reconstructing perceived faces from brain activations with deep adversarial neural decoding,"PDF hosted at the Radboud Repository of the Radboud University
+Nijmegen
+The following full text is a publisher's version.
+For additional information about this publication click this link.
+http://hdl.handle.net/2066/179505
+Please be advised that this information was generated on 2018-07-04 and may be subject to
+hange."

+e27ef52c641c2b5100a1b34fd0b819e84a31b4df,SARC3D: A New 3D Body Model for People Tracking and Re-identification,"SARC3D: a new 3D body model for People
+Tracking and Re-identification
+Davide Baltieri, Roberto Vezzani, and Rita Cucchiara
+Dipartimento di Ingegneria dell’Informazione - University of Modena and Reggio
+Emilia, Via Vignolese, 905 - 41125 Modena - Italy"

+e23a75430f777e982b0715b6f8a048d4bbfea438,Maximum Margin Metric Learning over Discriminative Nullspace for Person Re-identification,"Maximum Margin Metric Learning Over Discriminative
+Nullspace for Person Re-identification
+T M Feroz Ali1 and Subhasis Chaudhuri1
+Indian Institute of Technology Bombay, Mumbai, India"

+e2baf990bc60ef0d24b7556d238e40566ad23d2f,Modified Gabor Filter based Vehicle Verification,"International Journal of Computer Applications® (IJCA) (0975 – 8887)
+National Conference cum Workshop on Bioinformatics and Computational Biology, NCWBCB- 2014
+Modified Gabor Filter based Vehicle Verification
+Amrutha Ramachandran
+Mtech,AE&C,
+Dept. of EC,
+NCERC,Kerala.
+towards
+ollision
+voidance
+ccess,potential"

+e21cdb56c23e2a834a611d51abce545d2e8d01a2,Gender and Identity Classification for a Naive and Evolving System,"Gender and Identity Classification for a Naive and Evolving System
+M. Castrill´on-Santana, O. D´eniz-Su´arez, J. Lorenzo-Navarro and M. Hern´andez-Tejera
+IUSIANI - Edif. Ctral. del Parque Cient´ıfico Tecnol´ogico
+Universidad de Las Palmas de Gran Canaria, Spain"

+e295f31df11ec700851c2413b9bba644a91b0629,3D face reconstruction in a binocular passive stereoscopic system using face properties,"D FACE RECONSTRUCTION IN A BINOCULAR PASSIVE STEREOSCOPIC SYSTEM
+USING FACE PROPERTIES
+Amel AISSAOUI, Jean MARTINET and Chaabane DJERABA
+LIFL UMR Lille1-CNRS n 8022, IRCICA, 50 avenue Halley, 59658 Villeneuve d’Ascq, France"

+e27acf161f569aa876e46ffae2058bb275f12a60,Interactive learning of heterogeneous visual concepts with local features,"Interactive Learning of Heterogeneous Visual Concepts
+with Local Features
+Wajih Ouertani
+INRIA − IMEDIA project
+nd INRA, France
+Michel Crucianu
+INRIA − IMEDIA project
+nd CEDRIC − CNAM, France
+Nozha Boujemaa
+INRIA − IMEDIA project
+78153 Le Chesnay, France"

+e2e8db754b1ab4cd8aa07f5c5940f6921a1b7187,Interpretable visual models for human perception-based object retrieval,"Interpretable Visual Models for Human
+Perception-Based Object Retrieval
+Ahmed Rebai, Alexis Joly, Nozha Boujemaa
+To cite this version:
+Ahmed Rebai, Alexis Joly, Nozha Boujemaa.
+Based Object Retrieval.
+trieval, Apr 2011, Trento,
+<10.1145/1991996.1992017>. <hal-00642232>
+Italy.
+Interpretable Visual Models for Human Perception-
+ICMR’11 - First ACM International Conference on Multimedia Re-
+ACM, pp.21:1–21:8, 2011, <http://www.icmr2011.org/>.
+HAL Id: hal-00642232
+https://hal.inria.fr/hal-00642232
+Submitted on 17 Nov 2011
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or"

+e2fc290a245d9f5c545e2e92ee8fcaff4908b97f,Picture-to-Identity linking of social network accounts based on Sensor Pattern Noise,"Picture-to-Identity linking of social network accounts based on
+Sensor Pattern Noise
+Riccardo Satta∗ and Pasquale Stirparo∗+
+Institute for the Protection and Security of the Citizen,
+Joint Research Centre (JRC), European Commission, Ispra (VA), Italy
++Royal Institute of Technology (KTH), Stockholm, Sweden
+{riccardo.satta,
+Keywords:
+linking, digital image forensics
+social network, Sensor Pattern Noise, identity,"

+e2d265f606cd25f1fd72e5ee8b8f4c5127b764df,Real-Time End-to-End Action Detection with Two-Stream Networks,"Real-Time End-to-End Action Detection
+with Two-Stream Networks
+Alaaeldin El-Nouby∗†, Graham W. Taylor∗†‡
+School of Engineering, University of Guelph
+Vector Institute for Artificial Intelligence
+Canadian Institute for Advanced Research"

+e282bf5a679ca4e8b7d9a2ed56d3b40dc440ab53,Referenceless Quality Estimation for Natural Language Generation,"Referenceless Quality Estimation for Natural Language Generation
+Ondˇrej Duˇsek 1 Jekaterina Novikova 1 Verena Rieser 1"

+e24294adfcdb0334c310823c591f15e8829dc224,Deep Neural Networks and Regression Models for Object Detection and Pose Estimation,

+e2279676b01e477b5e7333bab276678f4ad34753,Searching Image with Hash Code Generations,"International Research Journal of Engineering and Technology (IRJET)      e-ISSN: 2395 -0056
+Volume: 02 Issue: 05 | Aug-2015                      www.irjet.net                                                               p-ISSN: 2395-0072
+SEARCHING IMAGE WITH HASH CODE GENERATIONS
+R.Lawanya,*2Mrs.G.Sangeetha Lakshmi, 3Ms.A.Sivasankari
+,*2,3Department of Computer Science,DKM College for Women, Vellore,
+Tamil Nadu, India.
+----------------------------------------------------------------------------------------------------------------------"

+e2af85dc41269bc7c50fcf2fb35bfeb75e3d6ee4,xytocin Improves “ Mind-Reading ” in Humans,"PRIORITY COMMUNICATION
+Oxytocin Improves “Mind-Reading” in Humans
+Gregor Domes, Markus Heinrichs, Andre Michel, Christoph Berger, and Sabine C. Herpertz
+Background: The ability to “read the mind” of other individuals, that is, to infer their mental state by interpreting subtle social cues, is
+indispensable in human social interaction. The neuropeptide oxytocin plays a central role in social approach behavior in nonhuman
+mammals.
+Methods: In a double-blind, placebo-controlled, within-subject design, 30 healthy male volunteers were tested for their ability to infer
+the affective mental state of others using the Reading the Mind in the Eyes Test (RMET) after intranasal administration of 24 IU oxytocin.
+Results: Oxytocin improved performance on the RMET compared with placebo. This effect was pronounced for difficult compared with
+easy items.
+Conclusions: Our data suggest that oxytocin improves the ability to infer the mental state of others from social cues of the eye region.
+Oxytocin might play a role in the pathogenesis of autism spectrum disorder, which is characterized by severe social impairment.
+Key Words: Emotion, oxytocin, peptide, social cognition, theory of
+T he ability to infer the internal state of another person to
+dapt one’s own behavior is a cornerstone of all human
+social interactions. Humans have to infer internal states
+from external cues such as facial expressions in order to make
+sense of or predict another person’s behavior, an ability that is
+referred  to  as  “mind-reading”  (Siegal  and  Varley  2002;  Stone  et  al
+998).  In  particular,  individuals  with  autism  have  distinct  diffi-"

+e2afea1a84a5bdbcb64d5ceadaa2249195e1fd82,DOOM Level Generation Using Generative Adversarial Networks,"DOOM Level Generation using Generative
+Adversarial Networks
+Edoardo Giacomello
+Dipartimento di Elettronica,
+Informazione e Bioinformatica
+Politecnico di Milano
+Pier Luca Lanzi
+Dipartimento di Elettronica,
+Informazione e Bioinformatica
+Politecnico di Milano
+Daniele Loiacono
+Dipartimento di Elettronica,
+Informazione e Bioinformatica
+Politecnico di Milano"

+e23ed8642a719ff1ab08799257d9566ed3bba403,Unsupervised Visual Attribute Transfer with Reconfigurable Generative Adversarial Networks,"Unsupervised Visual Attribute Transfer with
+Reconfigurable Generative Adversarial Networks
+Taeksoo Kim, Byoungjip Kim, Moonsu Cha, Jiwon Kim
+SK T-Brain"

+e21c45b14d75545d40ed07896f26ec6f766f6a4b,Fisher GAN,"Fisher GAN
+Youssef Mroueh∗, Tom Sercu∗
+Equal Contribution
+AI Foundations, IBM Research AI
+IBM T.J Watson Research Center"

+e22cf1ca10c11991c2a43007e37ca652d8f0d814,A Biologically Inspired Visual Working Memory,"Under review as a conference paper at ICLR 2019
+A BIOLOGICALLY INSPIRED VISUAL WORKING
+MEMORY FOR DEEP NETWORKS
+Anonymous authors
+Paper under double-blind review"

+e21b1c10bee6a984971dcba414c22078dcfd21c2,Recent progress in semantic image segmentation,"Artificial Intelligence Review
+https://doi.org/10.1007/s10462-018-9641-3
+Recent progress in semantic image segmentation
+Xiaolong Liu1 · Zhidong Deng1 · Yuhan Yang2
+© The Author(s) 2018"

+e2a9b3e9001d57483acbb63dc2cfb91a90d3c12d,"Image worth Evaluation for False Biometric Detection: Submission to Iris, Fingerprint and Face Recognition","Volume 5, Issue 2, February 2015                                  ISSN: 2277 128X
+International Journal of Advanced Research in
+Computer Science and Software Engineering
+Research Paper
+Available online at: www.ijarcsse.com
+Image worth Evaluation for False Biometric Detection: Submission to
+Iris, Fingerprint and Face Recognition
+Boggarapu Srinivasulu, 2 Dr. M. Ekambaram Naidu, 3Dr. E. Sreenivasa Reddy
+Assistant Professor, Dept of CSE, Mother Theresa Institute of Engineering & Technology
+Palamaner, Chittoor Dist, AP, India
+Principal & Professor (CSE), TRR Engineering College, Hyderabad, India
+Dean& Professor (CSE), Acharya Nagarjuna University, Nagarjunanagar, Guntur, India"

+f496235629c02c98ad83b37d3d054ccfd0de0131,Learning Cross-Modal Deep Embeddings for Multi-Object Image Retrieval using Text and Sketch,"Learning Cross-Modal Deep Embeddings for
+Multi-Object Image Retrieval using Text and Sketch
+Sounak Dey, Anjan Dutta, Suman K. Ghosh, Ernest Valveny, Josep Llad´os
+Computer Vision Center, Computer Science Department
+Autonomous University of Barcelona
+Email: {sdey, adutta, sghosh, ernest,
+Barcelona, Spain
+Umapada Pal
+CVPR Unit
+Indian Statistical Institute
+Kolkata, India
+Email:"

+f412d9d7bc7534e7daafa43f8f5eab811e7e4148,Running Head : Anxiety and Emotional Faces in WS 2,"Durham Research Online
+Deposited in DRO:
+6 December 2014
+Version of attached le:
+Accepted Version
+Peer-review status of attached le:
+Peer-reviewed
+Citation for published item:
+Kirk, H. E. and Hocking, D. R. and Riby, D. M. and Cornish, K. M. (2013) 'Linking social behaviour and
+nxiety to attention to emotional faces in Williams syndrome.', Research in developmental disabilities., 34
+(12). pp. 4608-4616.
+Further information on publisher's website:
+http://dx.doi.org/10.1016/j.ridd.2013.09.042
+Publisher's copyright statement:
+NOTICE: this is the author's version of a work that was accepted for publication in Research in Developmental
+Disabilities. Changes resulting from the publishing process, such as peer review, editing, corrections, structural
+formatting, and other quality control mechanisms may not be reected in this document. Changes may have been made
+to this work since it was submitted for publication. A denitive version was subsequently published in Research in
+Developmental Disabilities, 34, 12, December 2013, 10.1016/j.ridd.2013.09.042.
+Additional information:"

+f442a2f2749f921849e22f37e0480ac04a3c3fec,Critical Features for Face Recognition in Humans and Machines,"Critical Features for Face Recognition in Humans and Machines  Naphtali Abudarham1, Lior Shkiller1, Galit Yovel1,2 1School of Psychological Sciences, 2Sagol School of Neuroscience Tel Aviv University, Tel Aviv, Israel   Correspondence regarding this manuscript should be addressed to: Galit Yovel  School of Psychological Sciences & Sagol School of Neuroscience Tel Aviv University Tel Aviv, 69978, Israel Email:"

+f4b40b3dc27897fdc40f419a42d64fd1ff80cc9d,A Dual-Source Approach for 3D Human Pose Estimation from a Single Image,"SUBMITTED TO COMPUTER VISION AND IMAGE UNDERSTANDING.
+A Dual-Source Approach for 3D Human Pose
+Estimation from a Single Image
+Umar Iqbal*, Andreas Doering*, Hashim Yasin, Björn Krüger, Andreas Weber, and Juergen Gall"

+f44af3b10a67fe62fd26eb82dd228a3cdeb980e1,"Understand, Compose and Respond - Answering Visual Questions by a Composition of Abstract Procedures","Understand, Compose and Respond
+Understand, Compose and Respond - Answering Visual"

+f4f6fc473effb063b7a29aa221c65f64a791d7f4,Facial expression recognition in the wild based on multimodal texture features,"Downloaded From: https://www.spiedigitallibrary.org/journals/Journal-of-Electronic-Imaging on 4/20/2018 Terms of Use: https://www.spiedigitallibrary.org/terms-of-use
+FacialexpressionrecognitioninthewildbasedonmultimodaltexturefeaturesBoSunLiandongLiGuoyanZhouJunHeBoSun,LiandongLi,GuoyanZhou,JunHe,“Facialexpressionrecognitioninthewildbasedonmultimodaltexturefeatures,”J.Electron.Imaging25(6),061407(2016),doi:10.1117/1.JEI.25.6.061407."

+f4ce7c36586c27783a1b0e737c2834f39f9d029d,Advanced non linear dimensionality reduction methods for multidimensional time series : applications to human motion analysis,"Advanced Nonlinear
+Dimensionality Reduction
+Methods for Multidimensional
+Time Series: Application to
+Human Motion Analysis
+Michał Lewandowski
+Submitted in partial fulfilment of the requirements of
+Kingston University for the degree of
+Doctor of Philosophy
+June, 2011"

+f4373f5631329f77d85182ec2df6730cbd4686a9,Recognizing Gender from Human Facial Regions using Genetic Algorithm,"Soft Computing manuscript No.
+(will be inserted by the editor)
+Recognizing Gender from Human Facial Regions using
+Genetic Algorithm
+Avirup Bhattacharyya · Rajkumar Saini ·
+Partha Pratim Roy · Debi Prosad Dogra ·
+Samarjit Kar
+Received: date / Accepted: date"

+f423e2072441925a16d95e7092005abf602b7145,Survey on 2D and 3D Human Pose Recovery,"Survey on 2D and 3D Human Pose
+Recovery
+Xavier Perez-Sala, Email: a;c,
+Sergio Escalera, Email: b;c and
+Cecilio Angulo, Email: a
+CETpD-UPC Technical Research Center for Dependency Care and
+Autonomous Living, Universitat Polit(cid:18)ecnica de Catalunya, Ne(cid:18)apolis, Rambla de
+l’Exposici(cid:19)o, 59-69, 08800 Vilanova i la Geltru, Spain
+Dept. Mathematics, Universitat de Barcelona, Gran Via de les Corts Catalanes
+Computer Vision Center, Campus UAB, Edi(cid:12)ci 0, 08193, Bellaterra, Spain
+585, 08007, Barcelona, Spain"

+f43327075c17e71ee713ad727aa473230a432a90,Geometry meets semantics for semi-supervised monocular depth estimation,"Geometry meets semantics for semi-supervised
+monocular depth estimation
+Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi,
+Stefano Mattoccia, and Luigi Di Stefano
+University of Bologna,
+Viale del Risorgimento 2, Bologna, Italy"

+f439f9a0bd535eab00cbb93c1fa7083615a08d1a,Procedural Modeling and Physically Based Rendering for Synthetic Data Generation in Automotive Applications,"Procedural Modeling and Physically Based Rendering for Synthetic Data
+Generation in Automotive Applications
+Apostolia Tsirikoglou1,∗ Joel Kronander1 Magnus Wrenninge2,† Jonas Unger1,‡
+Link¨oping University, Sweden
+7D Labs
+Figure 1: Example images produced using our method for synthetic data generation."

+f47404424270f6a20ba1ba8c2211adfba032f405,Identification of Face Age range Group using Neural Network,"International Journal of Emerging Technology and Advanced Engineering
+Website: www.ijetae.com (ISSN 2250-2459, Volume 2, Issue 5, May 2012)
+Identification of Face Age range Group using Neural
+Network
+Sneha Thakur1, Ligendra Verma2
+1M.Tech scholar, CSE, RITEE Raipur
+2 Reader, MCA dept, RITEE Raipur"

+f4b729d218139f1e93cc9d4df05fbf699d2e9d07,Introduction to the Special Issue on Recent Advances in Biometric Systems [Guest Editorial],"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 37, NO. 5, OCTOBER 2007
+Guest Editorial
+Introduction to the Special Issue on Recent
+Advances in Biometric Systems
+W E ARE pleased to present 14 papers in this special
+issue devoted to recent advances in biometric systems.
+A total of 78 papers were submitted for consideration for the
+special issue. Those that appear in this special issue result from
+careful review process and consideration of timing for the
+special issue. Other papers, which were originally submitted for
+onsideration for the special issue, may be undergoing major
+revisions and resubmission and appear at a later time in a
+regular issue of this journal or possibly in some other journal.
+In particular, several submissions in the area of iris biometrics
+ould not be considered for this special issue due to their
+experimental results being based primarily on the CASIA 1
+iris image dataset [1].
+Papers on a broad variety of topics were submitted to the
+special issue. The large active areas of biometrics such as face,
+fingerprint, voice, signature, and iris were naturally well repre-"

+f43b60a33c585827bfa354d3d49fb148a1c26c3f,Identifying Well-formed Natural Language Questions,"Identifying Well-formed Natural Language Questions
+Manaal Faruqui Dipanjan Das
+Google AI Language"

+f4ebbeb77249d1136c355f5bae30f02961b9a359,Human Computation for Attribute and Attribute Value Acquisition,"Human Computation for Attribute and Attribute Value Acquisition
+Edith Law, Burr Settles, Aaron Snook, Harshit Surana, Luis von Ahn, Tom Mitchell
+School of Computer Science
+Carnegie Melon University"

+f445493badf53febbaeab340a4fca98d9e4ab7f7,Do CIFAR-10 Classifiers Generalize to CIFAR-10?,"Do CIFAR-10 Classifiers Generalize to CIFAR-10?
+Benjamin Recht
+UC Berkeley
+Rebecca Roelofs
+UC Berkeley
+Ludwig Schmidt
+Vaishaal Shankar
+UC Berkeley
+June 4, 2018"

+f4808e78bc648f9e1829c83a68a3e8ed4e7cf325,Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms,"Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms
+{tag}                                                 {/tag}
+International Journal of Computer Applications
+Foundation of Computer Science (FCS), NY, USA
+Volume 134
+Number 7
+Year of Publication: 2016
+Authors:
+Filani Araoluwa S., Adetunmbi Adebayo O.
+10.5120/ijca2016907932
+{bibtex}2016907932.bib{/bibtex}"

+f42dca4a4426e5873a981712102aa961be34539a,Next-Flow: Hybrid Multi-Tasking with Next-Frame Prediction to Boost Optical-Flow Estimation in the Wild,"Next-Flow: Hybrid Multi-Tasking with Next-Frame Prediction to Boost
+Optical-Flow Estimation in the Wild
+Nima Sedaghat
+University of Freiburg
+Germany"

+f49f1028052baa1588376a78a9dc64812748555e,Feature Fusion using Extended Jaccard Graph and Stochastic Gradient Descent for Robot,"JOURNAL OF LATEX CLASS FILES
+Feature Fusion using Extended Jaccard Graph and
+Stochastic Gradient Descent for Robot
+Shenglan Liu, Muxin Sun, Wei Wang, Feilong Wang"

+f31c9328b5b4678388c19a39064a8056313f7cf4,Two-Stream Multi-Rate Recurrent Neural Network for Video-Based Pedestrian Re-Identification,"IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, VOL. XX, NO. XX, AUGUST 201X
+Two-Stream Multi-Rate Recurrent Neural
+Network for Video-Based Pedestrian
+Re-Identification
+Zhiqiang Zeng, Zhihui Li*, De Cheng, Huaxiang Zhang, Kun Zhan and Yi Yang"

+f3a34525fa7021322f132c80c9517f240cf1e742,Pose and Pathosformel in Aby Warburg's Bilderatlas,"Pose and Pathosformel in Aby Warburg’s
+Bilderatlas
+Leonardo Impett, Sabine S¨usstrunk
+School of Computer and Communication Sciences,
+´Ecole F´ed´erale Polytechnique de Lausanne, Switzerland"

+f34c85c24661ba9990146737fd557f7508677263,A New Pedestrian Detection Descriptor Based on the Use of Spatial Recurrences,"A New Pedestrian Detection Descriptor
+Based on the Use of Spatial Recurrences
+Carlos Serra-Toro and V. Javier Traver
+Departamento de Lenguajes y Sistemas Inform´aticos &
+Institute of New Imaging Technologies,
+Universitat Jaume I, 12071 Castell´on, Spain"

+f375bc91a5f7b1f2d36e41841ccc22f202be2dcf,Unsupervised Learning of Depth and Ego-Motion from Video,"Unsupervised Learning of Depth and Ego-Motion from Video
+Tinghui Zhou∗
+UC Berkeley
+Matthew Brown
+Google
+Noah Snavely
+Google
+David G. Lowe
+Google"

+f3b3d2c0d1d84a7f7bbaaaecb58457c15a947544,Understanding Grounded Language Learning Agents,"UNDERSTANDING GROUNDED LANGUAGE LEARNING
+AGENTS
+Felix Hill, Karl Moritz Hermann, Phil Blunsom & Stephen Clark
+Deepmind
+London
+{felixhill, kmh, pblunsom,"

+f36647e63a11486ef9cf7a5a1c86a40fda5d408a,CS 229 Final Report: Artistic Style Transfer for Face Portraits,"CS 229 Final Report: Artistic Style Transfer for Face Portraits
+Daniel Hsu, Marcus Pan, Chen Zhu
+{dwhsu, mpanj,
+Dec 16, 2016
+Introduction
+The goal of our project is to learn the content and style
+representations of face portraits, and then to combine
+them to produce new pictures. The content features of
+face are the features that identify a face, such as the
+outline shape. The stylistic features are the artistic char-
+cteristics of a certain portrait or painting, such as brush
+strokes, or background color. We forward-pass a content
+image, and several style images through a CNN to ex-
+tract the desired content and style features. Then we
+initialize a white noise image, and perform gradient de-
+scent on its pixels until it matches the desired style and
+ontent features.
+vNet. We hope our project can be a supplement to ex-
+isting implementations.
+Gradient Descent Loss Functions"

+f36c3ddd43ea7c2e803694aad89e5fd903715c81,"Biometric quality: a review of fingerprint, iris, and face","Bharadwaj et al. EURASIP Journal on Image and Video Processing 2014, 2014:34
+http://jivp.eurasipjournals.com/content/2014/1/34
+REVIEW
+Open Access
+Biometric quality: a review of fingerprint, iris,
+nd face
+Samarth Bharadwaj, Mayank Vatsa* and Richa Singh"

+f3d9e347eadcf0d21cb0e92710bc906b22f2b3e7,"NosePose: a competitive, landmark-free methodology for head pose estimation in the wild","NosePose: a competitive, landmark-free
+methodology for head pose estimation in the wild
+Fl´avio H. B. Zavan, Antonio C. P. Nascimento, Olga R. P. Bellon and Luciano Silva
+IMAGO Research Group - Universidade Federal do Paran´a"

+f34a6c1bc9a7872c8dc4c35b678f87bb966ab0ab,"PHOG-Derived Aesthetic Measures Applied to Color Photographs of Artworks, Natural Scenes and Objects","PHOG-Derived Aesthetic Measures Applied
+to Color Photographs of Artworks,
+Natural Scenes and Objects
+Christoph Redies2, Seyed Ali Amirshahi1,2,
+Michael Koch1,2, and Joachim Denzler1
+Computer Vision Group, Friedrich Schiller University Jena, Germany
+http://www.inf-cv.uni-jena.de
+Institute of Anatomy I, Friedrich Schiller University,
+Jena University Hospital, Germany
+http://www.anatomie1.uniklinikum-jena.de"

+f33c427dc152c20537d2857bee1dda2287e85860,Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks,

+f39b88ac61264e9a33dcdf47722f0d048a8e490f,Interactive Data Integration and Entity Resolution for Exploratory Visual Data Analytics,"(cid:13)Copyright 2015
+Kristi Morton"

+f3ea181507db292b762aa798da30bc307be95344,Covariance Pooling For Facial Expression Recognition,"Covariance Pooling for Facial Expression Recognition
+Computer Vision Lab, ETH Zurich, Switzerland
+VISICS, KU Leuven, Belgium
+Dinesh Acharya†, Zhiwu Huang†, Danda Pani Paudel†, Luc Van Gool†‡
+{acharyad, zhiwu.huang, paudel,"

+f3062992cb10107b9d1e3699c8a61d5281886c4b,Foreground Consistent Human Pose Estimation Using Branch and Bound,"Foreground Consistent Human Pose Estimation
+Using Branch and Bound(cid:2)
+Jens Puwein1, Luca Ballan1, Remo Ziegler2, and Marc Pollefeys1
+Department of Computer Science, ETH Zurich, Switzerland
+Vizrt"

+f3b56b873c48929361c1cada7b18177e3f4d2727,"Development of a N-type GM-PHD Filter for Multiple Target, Multiple Type Visual Tracking","Development of a N-type GM-PHD Filter for
+Multiple Target, Multiple Type Visual Tracking
+Nathanael L. Baisa , Student Member, IEEE, and Andrew Wallace, Fellow, IET
+faced challenges not only in the uncertainty caused by data
+ssociation but also in algorithmic complexity that increases
+exponentially with the number of targets and measurements.
+For instance, the MHT has an exponential complexity with
+time and cubic with the number of targets.
+To address the problems of increasing complexity, a unified
+framework which directly extends single to multiple target
+tracking by representing multi-target states and observations
+s random finite sets (RFS) was developed by Mahler [7].
+This estimates the states and cardinality of an unknown and
+time varying number of targets in the scene, and allows for
+target birth, death, handling clutter (false alarms), and missing
+detections. Mahler [7] proposed to propagate the first-order
+moment of the multi-target posterior, called the Probability
+Hypothesis Density (PHD), rather than the full multi-target
+posterior."

+f3dc67bb4cd3601ae9bdb7df4ed5036f525ff21d,Multimodal 2 DCNN action recognition from RGB-D Data with Video Summarization,"Master’s Thesis
+Multimodal 2DCNN action recognition from
+RGB-D Data with Video Summarization
+Vicent Roig Ripoll
+Master
+Artificial Intelligence
+Advisor: Sergio Escalera Guerrero
+Co-advisor: Maryam Asadi-Aghbolaghi
+October, 2017"

+f3ca251ac3b05397ea6d72f2a9a6f0cf619a2a32,Leveraging Weakly Annotated Data for Fashion Image Retrieval and Label Prediction,"Leveraging Weakly Annotated Data for Fashion Image Retrieval and Label
+Prediction
+Charles Corbi`ere1, Hedi Ben-Younes1,2, Alexandre Ram´e1, and Charles Ollion1
+Heuritech, Paris, France
+UPMC-LIP6, Paris, France"

+f3cf10c84c4665a0b28734f5233d423a65ef1f23,Title Temporal Exemplar-based Bayesian Networks for facialexpression recognition,"Title
+Temporal Exemplar-based Bayesian Networks for facial
+expression recognition
+Author(s)
+Shang, L; Chan, KP
+Citation
+Proceedings - 7Th International Conference On Machine
+Learning And Applications, Icmla 2008, 2008, p. 16-22
+Issued Date
+http://hdl.handle.net/10722/61208
+Rights
+This work is licensed under a Creative Commons Attribution-
+NonCommercial-NoDerivatives 4.0 International License.;
+International Conference on Machine Learning and Applications
+Proceedings. Copyright © IEEE.; ©2008 IEEE. Personal use of
+this material is permitted. However, permission to
+reprint/republish this material for advertising or promotional
+purposes or for creating new collective works for resale or
+redistribution to servers or lists, or to reuse any copyrighted
+omponent of this work in other works must be obtained from"

+f32db58cbb8319eb8f2cfa2720c810f8410eb569,A software suite for large-scale video- and image-based analytics,"The 8th International Conference on Bioinspired Information and Communications Technologies (BICT2014), pp. 384-385, Boston, December 1-3, 2014
+A software suite for large-scale video- and image-based
+nalytics
+Jasmin Léveillé
+Isao Hayashi
+Kansai University"

+f3f65a8113d6a2dcbc690fd47dfee2dff0f41097,Generating 3D Faces Using Convolutional Mesh Autoencoders,"Generating 3D faces using Convolutional Mesh
+Autoencoders
+Anurag Ranjan, Timo Bolkart, Soubhik Sanyal, and Michael J. Black
+Max Planck Institute for Intelligent Systems
+{aranjan, tbolkart, ssanyal,
+T¨ubingen, Germany"

+f3b7938de5f178e25a3cf477107c76286c0ad691,Object Detection with Deep Learning: A Review,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, MARCH 2017
+Object Detection with Deep Learning: A Review
+Zhong-Qiu Zhao, Member, IEEE, Peng Zheng,
+Shou-tao Xu, and Xindong Wu, Fellow, IEEE"

+ebd36259defde84deb0d4c09695b54befe538ac8,Robust Generalized Low Rank Approximations of Matrices,"RESEARCH ARTICLE
+Robust Generalized Low Rank
+Approximations of Matrices
+Jiarong Shi*, Wei Yang, Xiuyun Zheng
+School of Science, Xi'an University of Architecture and Technology, Xi'an, China"

+eb526174fa071345ff7b1fad1fad240cd943a6d7,Deeply vulnerable: a study of the robustness of face recognition to presentation attacks,"Deeply Vulnerable – A Study of the Robustness of Face Recognition to
+Presentation Attacks
+Amir Mohammadi, Sushil Bhattacharjee, and S´ebastien Marcel ∗†"

+eb6243b1c9506f9450dab2a09db9c17fc2c2d364,3D Face Recognition system Based on Texture Gabor Features using PCA and Support Vector Machine as a Classifier,"ISSN(Online): 2319-8753
+ISSN (Print):   2347-6710
+International Journal of Innovative Research in Science,
+Engineering and Technology
+(An ISO 3297: 2007 Certified Organization)
+Vol. 5, Issue 8, August 2016
+D Face Recognition system Based on Texture
+Gabor Features using PCA and Support
+Vector Machine as a Classifier
+Rajesh Yadav 1, Dr. Chandra kumarJha 2
+Assistant Professor, Department of Computer Science, Gurgaon Institute of Technology &Management, Gurgaon,
+Haryana, India1
+Associate Professor, Department of Computer Science &Engineering, AIM & ACT, Banasthali University, Jaipur,
+Rajasthan, India2"

+eb566490cd1aa9338831de8161c6659984e923fd,From Lifestyle Vlogs to Everyday Interactions,"From Lifestyle Vlogs to Everyday Interactions
+David F. Fouhey, Wei-cheng Kuo, Alexei A. Efros, Jitendra Malik
+EECS Department, UC Berkeley"

+eba31ad9871c6dd5c2e7c62a121bbb417dcb1223,Adaptive Ensemble Selection for Face Re-identification under Class Imbalance,"Adaptive Ensemble Selection for Face
+Re-Identification Under Class Imbalance(cid:63)
+Paulo Radtke1, Eric Granger1, Robert Sabourin1 and Dmitry Gorodnichy2
+. Laboratoire d’imagerie, de vision et d’intelligence artificielle
+´Ecole de technologie sup´erieure, Universit´e du Qu´ebec, Montreal, Canada
+{eric.granger,
+. Science and Engineering Directorate, Canada Border Services Agency
+Ottawa, Canada,"

+eb9312458f84a366e98bd0a2265747aaed40b1a6,Facial Expression Sequence Synthesis Based on Shape and Texture Fusion Model,"-4244-1437-7/07/$20.00 ©2007 IEEE
+IV - 473
+ICIP 2007"

+eb716dd3dbd0f04e6d89f1703b9975cad62ffb09, Visual Object Category Discovery in Images and Videos,"Copyright
+Yong Jae Lee"

+ebc2643567b1c614727cd7ecf1d0604972572568,Robust Subspace Estimation Using Low-rank,"ROBUST SUBSPACE ESTIMATION USING LOW-RANK OPTIMIZATION.
+THEORY AND APPLICATIONS IN SCENE RECONSTRUCTION, VIDEO
+DENOISING, AND ACTIVITY RECOGNITION.
+OMAR OREIFEJ
+B.S. University of Jordan, 2006
+M.S. University of Central Florida, 2009
+A dissertation submitted in partial fulfillment of the requirements
+for the degree of Doctor of Philosophy
+in the Department of Electrical Engineering and Computer Science
+in the College of Engineering and Computer Science
+t the University of Central Florida
+Orlando, Florida
+Spring Term
+Major Professor: Mubarak Shah"

+eb4d2ec77fae67141f6cf74b3ed773997c2c0cf6,A new soft biometric approach for keystroke dynamics based on gender recognition,"Int. J. Information Technology and Management, Vol. 11, Nos. 1/2, 2012
+A new soft biometric approach for keystroke
+dynamics based on gender recognition
+Romain Giot* and Christophe Rosenberger
+GREYC Research Lab,
+ENSICAEN – Université de Caen Basse Normandie – CNRS,
+4000 Caen, France
+Fax: +33-231538110
+E-mail:
+E-mail:
+*Corresponding author"

+eb4edbec8cb122de07951e3cf54c33fc30dd1c19,Examining the Effects of Supervision for Transfer from Synthetic to Real Driving Domains,"Examining the Effects of Supervision for Transfer from Synthetic to Real
+Driving Domains
+Vashisht Madhavan"

+ebb7cc67df6d90f1c88817b20e7a3baad5dc29b9,Fast algorithms for Higher-order Singular Value Decomposition from incomplete data,"Journal of Computational Mathematics
+Vol.xx, No.x, 200x, 1–25.
+http://www.global-sci.org/jcm
+doi:??
+Fast algorithms for Higher-order Singular Value Decomposition
+from incomplete data*
+Department of Mathematics, University of Alabama, Tuscaloosa, AL
+Yangyang Xu
+Email:"

+ebabf19e66ef1253fda8d39a0569787c65e60a9e,Multi-person Tracking with Sparse Detection and Continuous Segmentation,"Multi-Person Tracking with Sparse Detection and
+Continuous Segmentation
+Dennis Mitzel1, Esther Horbert1, Andreas Ess2, Bastian Leibe1
+UMIC Research Centre RWTH Aachen University, Germany
+Computer Vision Laboratory, ETH Zurich, Switzerland"

+ebabd1f7bc0274fec88a3dabaf115d3e226f198f,Driver Drowsiness Detection System Based on Feature Representation Learning Using Various Deep Networks,"Driver drowsiness detection system based on feature
+representation learning using various deep networks
+Sanghyuk Park, Fei Pan, Sunghun Kang and Chang D. Yoo
+School of Electrical Engineering, KAIST,
+Guseong-dong, Yuseong-gu, Dajeon, Rep. of Korea
+{shine0624, feipan, sunghun.kang, cd"

+eb48a58b873295d719827e746d51b110f5716d6c,Face Alignment Using K-Cluster Regression Forests With Weighted Splitting,"Face Alignment Using K-cluster Regression Forests
+With Weighted Splitting
+Marek Kowalski and Jacek Naruniec"

+ebd5df2b4105ba04cef4ca334fcb9bfd6ea0430c,Fast Localization of Facial Landmark Points,"Fast Localization of Facial Landmark Points
+Nenad Markuˇs*, Miroslav Frljak*, Igor S. Pandˇzi´c*, J¨orgen Ahlberg†, and Robert Forchheimer†
+* University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia
+Link¨oping University, Department of Electrical Engineering, SE-581 83 Link¨oping, Sweden
+March 28, 2014"

+eb33adf3f8eb5c07b58a1433734ab1fee5d77c93,"Singleton, C. J., Ashwin, C. and Brosnan, M. (2014) Physiological Responses to Social and Nonsocial Stimuli in Neurotypical Adults With High and Low Levels of Autistic Traits:Implications for Understanding Nonsocial Drive in Autism Spectrum","Singleton, C. J., Ashwin, C. and Brosnan, M. (2014) Physiological
+Responses to Social and Nonsocial Stimuli in Neurotypical
+Adults With High and Low Levels of Autistic Traits:Implications
+for Understanding Nonsocial Drive in Autism Spectrum
+Disorders. Autism Research, 7 (6). pp. 695-703. ISSN 1939-3792
+Link to official URL (if available): http://dx.doi.org/10.1002/aur.1422
+Opus: University of Bath Online Publication Store
+http://opus.bath.ac.uk/
+This version is made available in accordance with publisher policies.
+Please cite only the published version using the reference above.
+See http://opus.bath.ac.uk/ for usage policies.
+Please scroll down to view the document."

+eb0e0a40372db32d30ceaefad046b213fac977f4,Scene Understanding Using Back Propagation by Neural Network,"Scene Understanding Using Back Propagation by Neural Network
+SCENE UNDERSTANDING USING BACK PROPAGATION BY
+NEURAL NETWORK
+ARTI TIWARI1 & JAGVIR VERMA2
+,2Department of Elex & Telecomm. Engg.Chouksey Engg. College,Bilaspur
+intelligent  human-computer"

+eb0e5db282f88d47b65f98df70c2e7c78b8647a6,Image Provenance Analysis at Scale,"Image Provenance Analysis at Scale
+Daniel Moreira, Aparna Bharati, Student Member, IEEE, Joel Brogan, Student Member, IEEE,
+Allan Pinto, Student Member, IEEE, Michael Parowski, Kevin W. Bowyer, Fellow, IEEE,
+Patrick J. Flynn, Fellow, IEEE, Anderson Rocha, Senior Member, IEEE,
+nd Walter J. Scheirer, Senior Member, IEEE"

+eb044760b6502431da6b6f3d5ad11aaab851a1ff,Video Storytelling,"A SUBMISSION TO IEEE TRANSACTIONS ON MULTIMEDIA
+Video Storytelling
+Junnan Li, Yongkang Wong, Member, IEEE, Qi Zhao, Member, IEEE, Mohan S. Kankanhalli, Fellow, IEEE"

+ebf204e0a3e137b6c24e271b0d55fa49a6c52b41,Visual Tracking Using Deep Motion Features,"Master of Science Thesis in Electrical Engineering
+Department of Electrical Engineering, Linköping University, 2016
+Visual Tracking Using
+Deep Motion Features
+Susanna Gladh"

+c7774fd600630684cc1d6be8313e2935bb198880,Adapting Hausdorff Metrics to Face Detection Systems: A Scale-Normalized Hausdorff Distance Approach,"Adapting Hausdorff metrics to face detection
+systems: a scale-normalized Hausdorff distance
+pproach
+Pablo Suau
+Departamento de Ciencia de la Computaci´on e Inteligencia Artificial
+Universidad de Alicante, Ap. de correos 99, 03080, Alicante (Spain)"

+c74a42afeae520ff6ab280d17bccf0d082ba8de5,The Concept of Comprehensive Data Analysis from Ultra-Wideband Subsystem for Smart City Positioning Purposes,"Preprints (www.preprints.org)  |  NOT PEER-REVIEWED  |  Posted: 25 October 2018                   doi:10.20944/preprints201810.0609.v1
+Article
+The Concept of Comprehensive Data Analysis from
+Ultra-Wideband Subsystem for Smart City
+Positioning Purposes
+Damian Grzechca *, Krzysztof Hanzel and Krzysztof Paszek
+Faculty of Automatic Control, Electronics and Computer Science,
+Silesian University of Technology Gliwice, Poland;
+*  Correspondence: Tel.: +48-32-237-2717"

+c7fff0d0a6312965b269c6180b2112babd40564c,Unsupervised Person Re-identification: Clustering and Fine-tuning,"Unsupervised Person Re-identification:
+Clustering and Fine-tuning
+Hehe Fan, Liang Zheng and Yi Yang"

+c726ea46544968335f1e51be633f15d0cc0f0311,Generalized feature learning and indexing for object localization and recognition,"Generalized Feature Learning and Indexing for Object Localization and
+Recognition
+Ning Zhou∗
+UNC, Charlotte
+Anelia Angelova∗
+Google Inc
+Jianping Fan
+UNC, Charlotte"

+c7ea9611446817f7b668882061ab11c7e998296c,Towards a Crowd Analytic Framework For Crowd Management in Majid-al-Haram,"Towards a Crowd Analytic Framework For Crowd
+Management in Majid-al-Haram
+Sultan Daud Khan1,*, Muhammad Tayyab1, Muhammad Khurram Amin1, Akram Nour1,
+Anas Basalamah1, Saleh Basalamah1, and Sohaib Ahmad Khan1,2,*
+Technology Innovation Center, Wadi Makkah, Makkah Al Mukarramah, Saudi Arabia
+Science and Technology Unit, Umm Al Qura University, Makkah Al Mukarramah, Saudi Arabia"

+c7e4c7be0d37013de07b6d829a3bf73e1b95ad4e,Dynemo: a Video Database of Natural Facial Expressions of Emotions,"The International Journal of Multimedia & Its Applications (IJMA) Vol.5, No.5, October 2013
+DYNEMO: A VIDEO DATABASE OF NATURAL FACIAL
+EXPRESSIONS OF EMOTIONS
+Anna Tcherkassof1, Damien Dupré1, Brigitte Meillon2, Nadine Mandran2,
+Michel Dubois1 and Jean-Michel Adam2
+LIP, Univ. Grenoble Alpes, BP 47 - 38040 Grenoble Cedex 9, France
+LIG, Univ. Grenoble Alpes, BP 53 - 38041 Grenoble Cedex 9, France"

+c757f6ee46208c1c26572265803068f8d837c384,Thermal imaging systems for real-time applications in smart cities,"Aalborg Universitet
+Thermal Imaging Systems for Real-Time Applications in Smart Cities
+Gade, Rikke; Moeslund, Thomas B.; Nielsen, Søren Zebitz; Skov-Petersen, Hans; Andersen,
+Hans Jørgen; Basselbjerg, Kent; Dam, Hans Thorhauge; Jensen, Ole B.; Jørgensen, Anders;
+Lahrmann, Harry Spaabæk; Madsen, Tanja Kidholm Osmann; Skouboe, Esben Bala; Povey,
+Bo Ø.
+Published in:
+International Journal of Computer Applications in Technology
+DOI (link to publication from Publisher):
+Publication date:
+Document Version
+Accepted author manuscript, peer reviewed version
+Link to publication from Aalborg University
+Citation for published version (APA):
+Gade, R., Moeslund, T. B., Nielsen, S. Z., Skov-Petersen, H., Andersen, H. J., Basselbjerg, K., ... Povey, B. Ø.
+(2016). Thermal Imaging Systems for Real-Time Applications in Smart Cities. International Journal of Computer
+General rights
+Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners
+nd it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.
+? Users may download and print one copy of any publication from the public portal for the purpose of private study or research."

+c76d143b3fa0d25e21580c583d39ab07fc937e71,Institutionen för systemteknik Department of Electrical Engineering Examensarbete 3 D Position Estimation of a Person of Interest in Multiple Video Sequences : People Detection,"Institutionen för systemteknik
+Department of Electrical Engineering
+Examensarbete
+D Position Estimation of a Person of Interest in
+Multiple Video Sequences: People Detection
+Examensarbete utfört i Datorseende
+vid Tekniska högskolan vid Linköpings universitet
+Johannes Markström
+LiTH-ISY-EX--13/4721--SE
+Linköping 2013
+Department of Electrical Engineering
+Linköpings universitet
+SE-581 83 Linköping, Sweden
+Linköpings tekniska högskola
+Linköpings universitet
+581 83 Linköping"

+c7eb127e9cd67d645b9a7f59c03bc73183faefeb,Human Detection in Indoor Environments Using Multiple Visual Cues and a Mobile Robot,"Human Detection in Indoor Environments Using
+Multiple Visual Cues and a Mobile Robot
+Stefan Pszcz´o(cid:2)lkowski and Alvaro Soto
+Pontificia Universidad Catolica de Chile
+Santiago 22, Chile"

+c70ad19c90491e2de8de686b6a49f9bbe44692c0,Seeing with Humans: Gaze-Assisted Neural Image Captioning,"Seeing with Humans: Gaze-Assisted
+Neural Image Captioning
+Yusuke Sugano and Andreas Bulling"

+c7c405b6fc95ff2ccf2cb5b59942db4343558fc4,Pseudo 2D Hidden Markov Model Based Face Recognition System Using Singular Values Decomposition Coefficients,"Pseudo 2D Hidden Markov Model Based Face Recognition System Using Singular
+Values Decomposition Coefficients
+Mukundhan Srinivasan
+Department of Electronics & Communication Engineering
+Alpha College of Engineering
+Chennai, TN India
+Sabarigirish Vijayakumar
+Retail Domain
+Tata Consultancy Services (TCS)
+Chennai, TN India"

+c7de0c85432ad17a284b5b97c4f36c23f506d9d1,RANSAC-Based Training Data Selection for Speaker State Recognition,"INTERSPEECH 2011
+RANSAC-based Training Data Selection for Speaker State Recognition
+Elif Bozkurt1, Engin Erzin1, C¸ i˘gdem Ero˘glu Erdem2, A.Tanju Erdem3
+Multimedia, Vision and Graphics Laboratory, Koc¸ University, Istanbul, Turkey
+Department of Electrical and Electronics Engineering, Bahc¸es¸ehir University, Istanbul, Turkey
+Department of Electrical and Computer Engineering, ¨Ozye˘gin University, Istanbul, Turkey
+ebozkurt,"

+c7f63fc2ff20513c6dc233ec3419417b43b39209,Human Detection from Aerial Imagery for Automatic Counting of Shellfish Gatherers,"Human Detection from Aerial Imagery for Automatic Counting of
+Shellfish gatherers
+Mathieu Laroze, Luc Courtrai and Sébastien Lefèvre
+Univ. Bretagne-Sud, UMR 6074 IRISA
+{mathieu.laroze, luc.courtrai,
+F-56000, Vannes, France
+Keywords:
+Human Detection, Image Stitching, Aerial Imagery, Image Mosaicing, Patch Classification, Object Detection"

+c7f752eea91bf5495a4f6e6a67f14800ec246d08,Exploring the Transfer Learning Aspect of Deep Neural Networks in Facial Information Processing,"EXPLORING THE TRANSFER
+LEARNING ASPECT OF DEEP
+NEURAL NETWORKS IN FACIAL
+INFORMATION PROCESSING
+A DISSERTATION SUBMITTED TO THE UNIVERSITY OF MANCHESTER
+FOR THE DEGREE OF MASTER OF SCIENCE
+IN THE FACULTY OF ENGINEERING AND PHYSICAL SCIENCES
+Crefeda Faviola Rodrigues
+School of Computer Science"

+c7391b43bd0216daf697fb77906b76c71f5c50e2,Where Should You Attend While Driving?,"Where Should You Attend While Driving?
+Simone Calderara
+Stefano Alletto
+Andrea Palazzi∗
+Francesco Solera∗
+Rita Cucchiara
+University of Modena and Reggio Emilia"

+c7d7cf88d2e9f3194aec2121eb19dbfed170dba8,Unconstrained Gaze Estimation Using Random Forest Regression Voting,"Unconstrained Gaze Estimation Using Random Forest
+Regression Voting
+Amine Kacete, Renaud Séguier, Michel Collobert, Jérôme Royan
+To cite this version:
+Amine Kacete, Renaud Séguier, Michel Collobert, Jérôme Royan. Unconstrained Gaze Estimation
+Using Random Forest Regression Voting. Springer. ACCV 13th Asian Conference on Computer
+Vision, Nov 2016, Taipei, Taiwan. <http://www.accv2016.org/>. <hal-01393591>
+HAL Id: hal-01393591
+https://hal.archives-ouvertes.fr/hal-01393591
+Submitted on 7 Nov 2016
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+c758b9c82b603904ba8806e6193c5fefa57e9613,Heterogeneous Face Recognition with CNNs,"Heterogeneous Face Recognition with CNNs
+Shreyas Saxena
+Jakob Verbeek
+INRIA Grenoble, Laboratoire Jean Kuntzmann"

+c7ecb2ca791fe23c182a06e7700c4e41f5ffa79d,A Review of Sentiment Analysis in Spanish Una Revisión Sobre el Análisis de Sentimientos en Español,"DOI: http://dx.doi.org/10.18180/tecciencia.2017.22.5
+A Review of Sentiment Analysis in Spanish
+Una Revisión Sobre el Análisis de Sentimientos en Español
+Carlos Henríquez Miranda1*, Jaime Guzmán2
+Universidad Autónoma, Barranquilla, Colombia
+Universitario Nacional de Colombia, Bogotá, Colombia
+Received: 11 Dec 2015
+Accepted: 6 Sep 2016
+Available Online: 7 Dec 2016"

+c7c03324833ba262eeaada0349afa1b5990c1ea7,A Wearable Face Recognition System on Google Glass for Assisting Social Interactions,"A Wearable Face Recognition System on Google
+Glass for Assisting Social Interactions
+Bappaditya Mandal∗, Chia Shue Ching, Liyuan Li, Vijay Ramaseshan
+Chandrasekhar, Cheston Tan Yin Chet and Lim Joo Hwee
+Visual Computing Department, Institute for Infocomm Research, Singapore
+Email address: (∗Contact author: Bappaditya Mandal);
+{scchia, lyli, vijay, cheston-tan,"

+c72914e2e999c99753d1d0058c459af69af6662a,CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation,"MACKOWIAK ET AL.: CEREALS
+CEREALS – Cost-Effective REgion-based
+Active Learning for Semantic Segmentation
+Robert Bosch GmbH
+Corporate Research - Computer Vision
+Robert-Bosch-Straße 200
+1139 Hildesheim, DE
+Heidelberg Collaboratory for Image
+Processing (HCI)
+Berliner Straße 43,
+69120 Heidelberg, DE
+Radek Mackowiak1
+Philip Lenz1
+Omair Ghori1
+Ferran Diego1
+Oliver Lange1
+Carsten Rother2"

+c719a718073128a985c957cdfa3f298706a180e6,Comparative Evaluations of Selected Tracking-by-Detection Approaches,"Comparative Evaluations of Selected
+Tracking-by-Detection Approaches
+Alhayat Ali Mekonnen, Frédéric Lerasle
+To cite this version:
+Alhayat Ali Mekonnen, Frédéric Lerasle. Comparative Evaluations of Selected Tracking-by-Detection
+Approaches. IEEE Transactions on Circuits and Systems for Video Technology, Institute of Electrical
+nd Electronics Engineers, 2018, <10.1109/TCSVT.2018.2817609>. <hal-01815850>
+HAL Id: hal-01815850
+https://hal.laas.fr/hal-01815850
+Submitted on 14 Jun 2018
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+c737e65d7e8696f5a2878ac623c61aeff434f92d,The influences of face inversion and facial expression on sensitivity to eye contact in high-functioning adults with autism spectrum disorders.,"J Autism Dev Disord (2013) 43:2536–2548
+DOI 10.1007/s10803-013-1802-2
+O R I G I N A L P A P E R
+The Influences of Face Inversion and Facial Expression
+on Sensitivity to Eye Contact in High-Functioning Adults
+with Autism Spectrum Disorders
+Mark D. Vida • Daphne Maurer • Andrew J. Calder •
+Gillian Rhodes • Jennifer A. Walsh •
+Matthew V. Pachai • M. D. Rutherford
+Published online: 8 March 2013
+Ó Springer Science+Business Media New York 2013"

+c7c8d150ece08b12e3abdb6224000c07a6ce7d47,DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification,"DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification
+National Laboratory of Pattern Recognition, CASIA
+Center for Research on Intelligent Perception and Computing, CASIA
+Shu Zhang Ran He Tieniu Tan"

+c78fdd080df01fff400a32fb4cc932621926021f,Robust Automatic Facial Expression Detection Method,"Robust Automatic Facial Expression Detection
+Method
+Institute for Pattern Recognition and Artificial Intelligence/ Huazhong University of Science and Technology, Wuhan,
+Institute for Pattern Recognition and Artificial Intelligence/ Huazhong University of Science and Technology, Wuhan,
+Yan Ouyang
+China
+Nong Sang
+China
+Email:"

+c7742e63579cfea8655606ec6bd9047140efe96a,D and Pseudo-2d Hidden Markov Models for Image Analysis. Theoretical Introduction 1d and Pseudo-2d Hidden Markov Models for Image Analysis. Theoretical Introduction,"
D and Pseudo-D Hidden Markov Models
+for Image Analysis.
+Theoretical Introduction
+ephane Marchand-Maillet - Multimedia Communications
+Email:
+Phone: + 
+Date: November 
+Technical Report RR-		-	 Part A
+Con
+ecom’s research is partially supported by its industrial members:
+Ascom, Cegetel, France Telecom, Hitachi, IBM France, Motorola,
+Swisscom, Texas Instruments, and Thomson CSF.
+Multimedia Communications
+Institut EURECOM  BP 
	.
+
+T.R. RR-		-	 Part A  November 
+c0e5a471179d2d8c7025febe77a90c3a99c7c9fa,Learning With ℓ1-Graph for Image Analysis,"IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 19, NO. 4, APRIL 2010
+Learning With `1-Graph for Image Analysis
+Bin Cheng, Jianchao Yang, Student Member, IEEE, Shuicheng Yan, Senior Member, IEEE, Yun Fu, Member, IEEE,
+nd Thomas S. Huang, Life Fellow, IEEE"

+c0014e048a5d15ddfeffa075a1b819bcb93dd351,Simple and Efficient Visual Gaze Estimation,"Simple and Efficient Visual Gaze Estimation
+Roberto Valenti
+Nicu Sebe
+Intelligent Systems Lab
+Amsterdam
+Kruislaan 403, 1018SJ
+Amsterdam, The Netherlands
+Theo Gevers"

+c03f48e211ac81c3867c0e787bea3192fcfe323e,Mahalanobis Metric Scoring Learned from Weighted Pairwise Constraints in I-Vector Speaker Recognition System,"INTERSPEECH 2016
+September 8–12, 2016, San Francisco, USA
+Mahalanobis Metric Scoring Learned from Weighted Pairwise Constraints in
+I-vector Speaker Recognition System
+Zhenchun Lei1, Yanhong Wan1, Jian Luo1, Yingen Yang1
+School of Computer Information Engineering, Jiangxi Normal University, Nanchang, China"

+c038beaa228aeec174e5bd52460f0de75e9cccbe,Temporal Segment Networks for Action Recognition in Videos,"Temporal Segment Networks for Action
+Recognition in Videos
+Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, and Luc Van Gool"

+c043f8924717a3023a869777d4c9bee33e607fb5,Emotion Separation Is Completed Early and It Depends on Visual Field Presentation,"Emotion Separation Is Completed Early and It Depends
+on Visual Field Presentation
+Lichan Liu1,2*, Andreas A. Ioannides1,2
+Lab for Human Brain Dynamics, RIKEN Brain Science Institute, Wakoshi, Saitama, Japan, 2 Lab for Human Brain Dynamics, AAI Scientific Cultural Services Ltd., Nicosia,
+Cyprus"

+c05a7c72e679745deab9c9d7d481f7b5b9b36bdd,"Naval Postgraduate School Monterey, California Approved for Public Release; Distribution Is Unlimited Biometric Challenges for Future Deployments: a Study of the Impact of Geography, Climate, Culture, and Social Conditions on the Effective Collection of Biometrics","NPS-CS-11-005
+NAVAL
+POSTGRADUATE
+SCHOOL
+MONTEREY, CALIFORNIA
+BIOMETRIC CHALLENGES FOR FUTURE DEPLOYMENTS:
+A STUDY OF THE IMPACT OF GEOGRAPHY, CLIMATE, CULTURE,
+AND SOCIAL CONDITIONS ON THE EFFECTIVE
+COLLECTION OF BIOMETRICS
+Paul C. Clark, Heather S. Gregg, with preface by Cynthia E. Irvine
+April 2011
+Approved for public release; distribution is unlimited"

+c0f17f99c44807762f2a386ac6579c364330e082,A Review on Deep Learning Techniques Applied to Semantic Segmentation,"A Review on Deep Learning Techniques
+Applied to Semantic Segmentation
+A. Garcia-Garcia, S. Orts-Escolano, S.O. Oprea, V. Villena-Martinez, and J. Garcia-Rodriguez"

+c0a0adb7f02d5509969e6107c914f7cc6e9ec881,Semantic Instance Segmentation via Deep Metric Learning,"Semantic Instance Segmentation via Deep Metric Learning
+Alireza Fathi∗
+Zbigniew Wojna∗
+Vivek Rathod∗
+Peng Wang†
+Sergio Guadarrama∗
+Kevin P. Murphy∗
+Hyun Oh Song∗"

+c08420b1bfa093e89e35e3b8d3a9e3e881f4f563,A Classification Framework for Large-Scale Face Recognition Systems,"Kent Academic Repository
+Full text document (pdf)
+Citation for published version
+Zhou, Ziheng and Deravi, Farzin  (2009) A Classification Framework for Large-Scale Face Recognition
+Systems.    In: 3rd IAPR/IEEE International Conference on Biometrics, 2-5 June, University of
+Sassari, Italy.
+https://doi.org/10.1007/978-3-642-01793-3_35
+Link to record in KAR
+http://kar.kent.ac.uk/23302/
+Document Version
+Author's Accepted Manuscript
+Copyright & reuse
+Content in the Kent Academic Repository is made available for research purposes. Unless otherwise stated all
+ontent is protected by copyright and in the absence of an open licence (eg Creative Commons), permissions
+for further reuse of content should be sought from the publisher, author or other copyright holder.
+Versions of research
+The version in the Kent Academic Repository may differ from the final published version.
+Users are advised to check http://kar.kent.ac.uk for the status of the paper. Users should always cite the
+published version of record.
+Enquiries"

+c03c16668426d8b069e75cb440686e12a9adbcd7,Deep Unsupervised Similarity Learning Using Partially Ordered Sets,"Deep Unsupervised Similarity Learning using Partially Ordered Sets
+Miguel A. Bautista∗ , Artsiom Sanakoyeu∗ , Bj¨orn Ommer
+Heidelberg Collaboratory for Image Processing
+IWR, Heidelberg University, Germany"

+c0de99c5f15898e2d28f9946436fec2b831d4eae,ClothCap: seamless 4D clothing capture and retargeting,"ClothCap: Seamless 4D Clothing Capture and Retargeting
+GERARD PONS-MOLL∗, Max Planck Institute for Intelligent Systems, Tübingen, Germany
+SERGI PUJADES∗, Max Planck Institute for Intelligent Systems, Tübingen, Germany
+SONNY HU, Body Labs, New York, NY, USA
+MICHAEL J. BLACK, Max Planck Institute for Intelligent Systems, Tübingen, Germany
+Fig. 1. ClothCap. From left to right: (1) An example 3D textured scan that is part of a 4D sequence. (2) Our multi-part aligned mesh model, layered over the
+ody. (3) The estimated minimally clothed shape (MCS) under the clothing. (4) The body made fatter and dressed in the same clothing. Note that the clothing
+dapts in a natural way to the new body shape. (5) This new body shape posed in a new, never seen, pose. This illustrates how ClothCap supports a range of
+pplications related to clothing capture, modeling, retargeting, reposing, and try-on.
+Dressing virtual avatars and animating them with high quality, visu-
+lly plausible, results is a challenging task. Highly realistic physical
+simulation of clothing on human bodies in motion is complex: cloth-
+ing models are laborious to construct, patterns must be graded so
+that they can be sized to different characters, and the physical param-
+eters of the cloth must be known. Instead, we propose a data-driven
+lothing capture (ClothCap) approach; we capture dynamic clothing
+on humans from 4D scans and transform it to more easily dress
+virtual avatars.
+INTRODUCTION
+Designing and simulating realistic clothing is challenging. Previous methods"

+c0afa514524a4cf4b1772c1738ceb6989bff1b71,Impact of Tone-mapping Algorithms on Subjective and Objective Face Recognition in HDR Images,"Impact of Tone-mapping Algorithms on Subjective and
+Objective Face Recognition in HDR Images
+Pavel Korshunov
+MMSPG, EPFL
+Marco V. Bernardo
+Optics Center, UBI
+Touradj Ebrahimi
+MMSPG, EPFL
+António M. G. Pinheiro
+Optics Center, UBI"

+c08ef9ebf46e5a88c4ee1aa64dac104ddc07bee2,Classification of vehicles for urban traffic scenes,"Classification of Vehicles
+for Urban Traffic Scenes
+Norbert Erich Buch
+Submitted in partial fulfilment of the requirements of
+Kingston University for the degree of
+Doctor of Philosophy
+June, 2010
+Collaborating partner:
+Traffic Directorate at Transport for London"

+c0ff7dc0d575658bf402719c12b676a34271dfcd,A New Incremental Optimal Feature Extraction Method for On-Line Applications,"A New Incremental Optimal Feature Extraction
+Method for On-line Applications
+Youness Aliyari Ghassabeh, Hamid Abrishami Moghaddam
+Electrical Engineering Department, K. N. Toosi University of
+Technology, Tehran, Iran"

+c02847a04a99a5a6e784ab580907278ee3c12653,Fine Grained Video Classification for Endangered Bird Species Protection,"Fine Grained Video Classification for
+Endangered Bird Species Protection
+Non-Thesis MS Final Report
+Chenyu Wang
+.  Introduction
+.1 Background
+This project is about detecting eagles in videos. Eagles are endangered species at the brim of
+extinction since 1980s. With the bans of harmful pesticides, the number of eagles keep increasing.
+However, recent studies on golden eagles’ activities in the vicinity of wind turbines have shown
+significant number of turbine blade collisions with eagles as the major cause of eagles’ mortality. [1]
+This project is a part of a larger research project to build an eagle detection and deterrent system
+on wind turbine toward reducing eagles’ mortality. [2] The critical component of this study is a
+omputer vision system for eagle detection in videos. The key requirement are that the system should
+work in real time and detect eagles at a far distance from the camera (i.e. in low resolution).
+There are three different bird species in my dataset - falcon, eagle and seagull. The reason for
+involving only these three species is based on the real world situation. Wind turbines are always
+installed near coast and mountain hill where falcons and seagulls will be the majority. So my model
+will classify the minority eagles out of other bird species during the immigration season and protecting
+them by using the deterrent system.
+.2 Brief Approach"

+c03ef6e94808185c1080ac9b155ac3b159b4f1ec,Learning to Avoid Errors in GANs by Manipulating Input Spaces,"Learning to Avoid Errors in GANs by Manipulating
+Input Spaces
+Alexander B. Jung
+TU Dortmund"

+c038186138b76a625500ff84c9dadb18aae29f1c,Learning Implicit Transfer for Person Re-identification,"Learning Implicit Transfer
+for Person Re-identi(cid:12)cation
+Tamar Avraham, Ilya Gurvich, Michael Lindenbaum, and Shaul Markovitch
+Computer science department, Technion - I.I.T., Haifa 32000, Israel."

+c02dbf756b9e9e2bed37cb7d295529397cad616a,Semantic Segmentation of RGBD Videos with Recurrent Fully Convolutional Neural Networks,"Semantic Segmentation of RGBD Videos with Recurrent Fully Convolutional
+Neural Networks
+Ekrem Emre Yurdakul, Y¨ucel Yemez
+Computer Engineering Department, Koc¸ University
+Istanbul, Turkey"

+c082afd5928165ccaf6d419aff5d0456d8ef78f3,Face recognition by fusing binary edge feature and second-order mutual information,"Face Recognition by Fusing Binary Edge Feature and
+Second-order Mutual Information
+Jiatao Song, Beijing Chen, Wei Wang, Xiaobo Ren
+School of Electronic and Information Engineering,
+Ningbo University of Technology
+Ningbo, China"

+c0be23ae7f327f9415e583aee1936b9932c9b58b,Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data,"NetworkCNNimageslabelsFakeDatasetimages24132labelsTarget NetworkCNNimageslabelsOriginalDatasetFakeDatasetFig.1:Ontheleft,thetargetnetworkistrainedwithanoriginal(confidential)datasetandisservedpubliclyasanAPI,receivingimagesasinputandprovidingclasslabelsasoutput.Ontheright,itispresentedtheprocesstogetstolenlabelsandtocreateafakedataset:randomnaturalimagesaresenttotheAPIandthelabelsareobtained.Afterthat,thecopycatnetworkistrainedusingthisfakedataset.cloud-basedservicestocustomersallowingthemtooffertheirownmodelsasanAPI.Becauseoftheresourcesandmoneyinvestedincreatingthesemodels,itisinthebestinterestofthesecompaniestoprotectthem,i.e.,toavoidthatsomeoneelsecopythem.Someworkshavealreadyinvestigatedthepossibilityofcopyingmodelsbyqueryingthemasablack-box.In[1],forexample,theauthorsshowedhowtoperformmodelextractionattackstocopyanequivalentornear-equivalentmachinelearningmodel(decisiontree,logisticregression,SVM,andmultilayerperceptron),i.e.,onethatachievescloseto100%agreementonaninputspaceofinterest.In[2],theauthorsevaluatedtheprocessofcopyingaNaiveBayesandSVMclassifierinthecontextoftextclassification.Bothworksfocusedongeneralclassifiersandnotondeepneuralnetworksthatrequirelargeamountsofdatatobetrainedleavingthequestionofwhetherdeepmodelscanbeeasilycopied.Althoughthesecondusesdeeplearningtostealtheclassifiers,itdoesnottrytouseDNNstostealfromdeepmodels.Additionally,theseworksfocusoncopyingbyqueryingwithproblemdomaindata.Inrecentyears,researchershavebeenexploringsomeintriguingpropertiesofdeepneuralnetworks[3],[4].More©2018IEEE.Personaluseofthismaterialispermitted.PermissionfromIEEEmustbeobtainedforallotheruses,inanycurrentorfuturemedia,includingreprinting/republishingthismaterialforadvertisingorpromotionalpurposes,creatingnewcollectiveworks,forresaleorredistributiontoserversorlists,orreuseofanycopyrightedcomponentofthisworkinotherworks."

+c0c8d720658374cc1ffd6116554a615e846c74b5,Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video Classification,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Modeling Multimodal Clues in a Hybrid Deep
+Learning Framework for Video Classification
+Yu-Gang Jiang, Zuxuan Wu, Jinhui Tang, Zechao Li, Xiangyang Xue, Shih-Fu Chang"

+c06447df3e50ec451240205cefa0708caee8ab8c,Picture it in your mind: generating high level visual representations from textual descriptions,"Picture It In Your Mind: Generating High Level Visual
+Representations From Textual Descriptions
+Fabio Carrara
+ISTI-CNR
+via G. Moruzzi, 1
+56124 Pisa, Italy
+Andrea Esuli
+ISTI-CNR
+via G. Moruzzi, 1
+56124 Pisa, Italy
+Tiziano Fagni
+ISTI-CNR
+via G. Moruzzi, 1
+56124 Pisa, Italy
+Fabrizio Falchi
+ISTI-CNR
+via G. Moruzzi, 1
+56124 Pisa, Italy
+Alejandro Moreo
+Fernández"

+c0e9d06383442d89426808d723ca04586db91747,Cascaded SR-GAN for Scale-Adaptive Low Resolution Person Re-identification,Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18)

+c04fec95a448f9b01dd4399b3a5a365f67448bdf,From Image Sequence to Frontal Image: Reconstruction of the Unknown Face A Forensic Case,"From Image Sequence to Frontal Image:
+Reconstruction of the Unknown Face
+A Forensic Case
+Christiaan van Dam"

+c0d21722d83c126af4175add38ffc893a33ee01e,Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor,"Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor
+Wongun Choi
+NEC Laboratories America
+0080 N. Wolfe Rd, Cupertino, CA, USA"

+eee8a37a12506ff5df72c402ccc3d59216321346,Volume C,"Uredniki:
+dr. Tomaž Erjavec
+Odsek za tehnologije znanja
+Institut »Jožef Stefan«, Ljubljana
+dr. Jerneja Žganec Gros
+Alpineon d.o.o, Ljubljana
+Založnik: Institut »Jožef Stefan«, Ljubljana
+Tisk: Birografika BORI d.o.o.
+Priprava zbornika: Mitja Lasič
+Oblikovanje naslovnice: dr. Damjan Demšar
+Tiskano iz predloga avtorjev
+Naklada:  50
+Ljubljana, oktober 2008
+Konferenco IS 2008 sofinancirata
+Ministrstvo za visoko šolstvo, znanost in tehnologijo
+Institut »Jožef Stefan«
+Informacijska družba
+ISSN 1581-9973
+CIP - Kataložni zapis o publikaciji
+Narodna in univerzitetna knjižnica, Ljubljana"

+eea77e2a891e49e65d4bed54c1b24411f33203a3,Exploring Guide Context in City Scenario Using Color and Gradient Features,"The Open Construction and Building Technology Journal, 2015, 9, 177-181
+Open Access
+Exploring  Guide  Context  in  City  Scenario  Using  Color  and  Gradient
+Features
+Send Orders for Reprints to
+Zhuo Bian*
+Art Academy of Northeast Agriculture University, Harbin 150001, China"

+ee4fd1a1df6a01e7dabe82090b1024e2eb6d78a1,Effective Emotional Classification Combining Facial Classifiers and User Assessment,"Effective Emotional Classification Combining Facial
+Classifiers and User Assessment
+Isabelle Hupont1, Sandra Baldassarri2, Rafael Del Hoyo1, and Eva Cerezo2
+Instituto Tecnológico de Aragón, Zaragoza (Spain)
+Departamento de Informática e Ingeniería de Sistemas,
+Instituto de Investigación en Ingeniería de Aragón, Universidad de Zaragoza (Spain)"

+ee87aa52d9642607d86f011c0d7326c4bdc63121,Automatic Detection of Facial Midline as a Guide for Facial Feature Extraction,"Automatic Detection of Facial Midline
+s a Guide for Facial Feature Extraction
+Nozomi Nakao, Wataru Ohyama, Tetsushi Wakabayashi and Fumitaka Kimura
+Graduate School of Engineering, Mie University
+577 Kurimamachiya-cho, Tsu-shi, Mie, 5148507, Japan"

+eed25d9b5b5b28e8454a359d54c9de5a05cc4682,Context-aware home monitoring system for Parkinson ' s disease patients : ambient and wearable sensing for freezing of gait detection,"Context-aware Home Monitoring System
+for Parkinson’s Disease Patients
+Ambient and Wearable Sensing for Freezing of Gait Detection
+B(cid:2456)(cid:2459)(cid:2450)(cid:2460) T(cid:2442)(cid:2452)(cid:2442)(cid:20)(cid:2444)"

+eeec69e910430bebe3808773f5a6a155d77059a0,Multi-shot Pedestrian Re-identification via Sequential Decision Making,"Multi-shot Pedestrian Re-identification via Sequential Decision Making
+Jianfu Zhang1, Naiyan Wang2 and Liqing Zhang1
+Shanghai Jiao Tong University∗, 2TuSimple"

+ee18e29a2b998eddb7f6663bb07891bfc7262248,Local Linear Discriminant Analysis Framework Using Sample Neighbors,"Local Linear Discriminant Analysis Framework
+Using Sample Neighbors
+Zizhu Fan, Yong Xu, Member, IEEE, and David Zhang, Fellow, IEEE"

+ee3a905ec8cd2e62dc642fad33d6f5f8516968a8,It depends: Approach and avoidance reactions to emotional expressions are influenced by the contrast emotions presented in the task.,"tapraid5/zfn-xhp/zfn-xhp/zfn00515/zfn3313d15z
+xppws S⫽1
+8/4/15
+5:44 Art: 2014-0213
+APA NLM
+Journal of Experimental Psychology:
+Human Perception and Performance
+015, Vol. 41, No. 5, 000
+0096-1523/15/$12.00
+© 2015 American Psychological Association
+http://dx.doi.org/10.1037/xhp0000130
+It Depends: Approach and Avoidance Reactions to Emotional Expressions
+re Influenced by the Contrast Emotions Presented in the Task
+AQ: au
+Andrea Paulus and Dirk Wentura
+Saarland University
+Studies examining approach and avoidance reactions to emotional expressions have yielded conflicting
+results. For example, expressions of anger have been reported to elicit approach reactions in some studies
+ut avoidance reactions in others. Nonetheless, the results were often explained by the same general
+underlying process, namely the influence that the social message signaled by the expression has on"

+eefb8768f60c17d76fe156b55b8a00555eb40f4d,Subspace Scores for Feature Selection in Computer Vision,"Subspace Scores for Feature Selection in Computer Vision
+Cameron Musco
+Christopher Musco"

+ee463f1f72a7e007bae274d2d42cd2e5d817e751,Automatically Extracting Qualia Relations for the Rich Event Ontology,"Automatically Extracting Qualia Relations for the Rich Event Ontology
+Ghazaleh Kazeminejad1, Claire Bonial2, Susan Windisch Brown1 and Martha Palmer1
+{ghazaleh.kazeminejad, susan.brown,
+University of Colorado Boulder, 2U.S. Army Research Lab"

+eed1dd2a5959647896e73d129272cb7c3a2e145c,The Elements of Fashion Style,"INPUTSTYLE DOCUMENTTOP ITEMS“             ”I need an outfit for a beach wedding that I'm going to early this summer. I'm so excited -- it's going to be warm and exotic and tropical... I want my outfit to look effortless, breezy, flowy, like I’m floating over the sand! Oh, and obviously no white! For a tropical spot, I think my outfit should be bright and"

+ee92d36d72075048a7c8b2af5cc1720c7bace6dd,Face recognition using mixtures of principal components,"FACE RECOGNITION USING MIXTURES OF PRINCIPAL COMPONENTS
+Deepak S. Turaga and Tsuhan Chen
+Video and Display Processing
+Philips Research USA
+Briarcliff Manor, NY 10510"

+ee335fb785c332b1ac43565b007461002616f1e0,Processing Large Amounts of Images on Hadoop with OpenCV,"Processing Large Amounts of Images
+on Hadoop with OpenCV
+Timofei Epanchintsev1,2 and Andrey Sozykin1,2
+IMM UB RAS, Yekaterinburg, Russia,
+Ural Federal University, Yekaterinburg, Russia"

+eebe66c4d1a41b3c7830846306044c8f3fe0d350,Domain adaptation networks for noisy image classification,"Faculty of Electrical Engineering, Mathematics and Computer Science
+Department of Intelligent Systems
+Domain adaptation
+networks for noisy image
+lassification
+Master Thesis
+Chengqiu Zhang
+Committee:
+Supervisors:
+Dr. Jan van Gemert
+Prof. Martha Larson
+Dr. Silvia-Laura Pintea Dr. Jan van Gemert
+Dr. Ildiko Suveg
+Dr. Marco Loog
+Dr. Silvia-Laura Pintea
+Dr. Adriana Gonzalez
+Eindhoven, Aug 2017"

+ee9385efb66ee0b1bee31c1632141729bb7fb6f5,Numerical simplification for bloat control and analysis of building blocks in genetic programming,"Noname manuscript No.
+(will be inserted by the editor)
+Numerical Simplification for Bloat Control and Analysis of
+Building Blocks in Genetic Programming
+David Kinzett · Mark Johnston · Mengjie Zhang
+the date of receipt and acceptance should be inserted later"

+eedfb384a5e42511013b33104f4cd3149432bd9e,Multimodal probabilistic person tracking and identification in smart spaces,"Multimodal Probabilistic Person
+Tracking and Identification
+in Smart Spaces
+zur Erlangung des akademischen Grades eines
+Doktors der Ingenieurwissenschaften
+der Fakultät für Informatik
+der Universität Fridericiana zu Karlsruhe (TH)
+genehmigte
+Dissertation
+Keni Bernardin
+us Karlsruhe
+Tag der mündlichen Prüfung: 20.11.2009
+Erster Gutachter:
+Zweiter Gutachter:
+Prof. Dr. A. Waibel
+Prof. Dr. R. Stiefelhagen"

+c9f3a5fe33782dd486cb32d9667fba0514711f04,Face and Expression Recognition Using Local Directional Number Pattern,"International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Impact Factor (2012): 3.358
+Face and Expression Recognition Using Local
+Directional Number Pattern
+Gopu Prasoona1, Dasu Vaman Ravi Prasad2
+Computer Science, CVSR College of Engineering, Venkatapur, RR dist, India
+Computer Science and Engineering, CVSR College of Engineering, Venkatapur, RR dist, India
+refers
+to digital"

+c91103e6612fa7e664ccbc3ed1b0b5deac865b02,Automatic Facial Expression Recognition Using Statistical-Like Moments,"Automatic facial expression recognition using
+statistical-like moments
+Roberto D’Ambrosio, Giulio Iannello, and Paolo Soda
+{r.dambrosio, g.iannello,
+Integrated Research Center, Universit`a Campus Bio-Medico di Roma,
+Via Alvaro del Portillo, 00128 Roma, Italy"

+c92e701c908908bda407f12edf6984b283e8c258,Where Should You Attend While Driving?,"Where Should You Attend While Driving?
+Simone Calderara
+Stefano Alletto
+Andrea Palazzi∗
+Francesco Solera∗
+Rita Cucchiara
+University of Modena and Reggio Emilia"

+c90b109301244e59771fec431a8d50a78e395956,Alternative face models for 3D face registration,"Alternative face models for 3D face registration
+Albert Ali Salah, Ne¸se Aly¨uz, Lale Akarun
+Bo˘gazi¸ci University, 34342 Bebek, ˙Istanbul, Turkey"

+c9876861cc0e33fffe8c3ce7484ae27d3b2eeb75,A Corpus for Analyzing Linguistic and Paralinguistic Features in Multi-Speaker Spontaneous Conversations – EVA Corpus,"A Corpus for Analyzing Linguistic and Paralinguistic Features in
+Multi-Speaker Spontaneous Conversations – EVA Corpus
+IZIDOR MLAKAR, ZDRAVKO KAČIČ, MATEJ ROJC
+Faculty of Electrical Engineering and Computer Science, University of Maribor
+SLOVENIA"

+c9c3ba7bebee553490a9ddbc6840292ed5aed90b,SCHOOL OF COMPUTER ENGINEERING PhD Confirmation Report on Object Detection in Real Images,"SCHOOL OF COMPUTER ENGINEERING
+PhD Confirmation Report
+Object Detection in Real Images
+Submitted by: Dilip Kumar Prasad
+Research Student (PhD)
+School of Computer Engineering
+E-mail:
+Supervisor:     Dr. Maylor K. H. Leung
+Associate Professor,
+School of Computer Engineering
+E-mail:
+August 2010"

+c933c4bef57be3585abb13bacb74aca29588a6ac,People Detection in Color and Infrared Video Using HOG and Linear SVM,"People Detection in Color and Infrared Video
+using HOG and Linear SVM
+Pablo Tribaldos1, Juan Serrano-Cuerda1, Mar´ıa T. L´opez1;2,
+Antonio Fern´andez-Caballero1;2, and Roberto J. L´opez-Sastre3
+Instituto de Investigaci(cid:19)on en Inform(cid:19)atica de Albacete (I3A), 02071-Albacete, Spain
+Universidad de Castilla-La Mancha, Departamento de Sistemas Inform(cid:19)aticos,
+02071-Albacete, Spain
+Universidad de Alcal(cid:19)a, Dpto. de Teor(cid:19)(cid:16)a de la se~nal y Comunicaciones,
+8805-Alcal(cid:19)a de Henares (Madrid), Spain"

+c9b90cf9cdd901bd3072d6dfd8ddc523c55944b1,Adversarial Generator-Encoder Networks,"Adversarial Generator-Encoder Networks
+Dmitry Ulyanov 1 2 Andrea Vedaldi 3 Victor Lempitsky 1"

+c94c2cf52fef0503c09268c7d1faee60465ee08e,BenchIP: Benchmarking Intelligence Processors,"BENCHIP: Benchmarking Intelligence
+Processors
+Jinhua Tao1, Zidong Du1,2, Qi Guo1,2, Huiying Lan1, Lei Zhang1
+Shengyuan Zhou1, Lingjie Xu3, Cong Liu4, Haifeng Liu5, Shan Tang6
+Allen Rush7,Willian Chen7, Shaoli Liu1,2, Yunji Chen1, Tianshi Chen1,2
+ICT CAS,2Cambricon,3Alibaba Infrastructure Service, Alibaba Group
+IFLYTEK,5JD,6RDA Microelectronics,7AMD"

+c9d7219d54eccb9e49b72044d805e103fe17ba80,Towards Information-Seeking Agents,"Under review as a conference paper at ICLR 2017
+TOWARDS INFORMATION-SEEKING AGENTS
+Philip Bachman∗
+phil.bachman
+Alessandro Sordoni∗
+lessandro.sordoni
+Adam Trischler
+dam.trischler
+Maluuba Research
+Montréal, QC, Canada"

+c95c30fb990576704f2ccb3dc3335aaf43208856,CS231A Project report,"CS231A Project report
+Cecile Foret
+March 19, 2014."

+c95d8b9bddd76b8c83c8745747e8a33feedf3941,Image Ordinal Classification and Understanding: Grid Dropout with Masking Label,"label:(1, 0, 1, 0, 1, 1, 1, 1, 1)Masking label:(0, 1, 1, 1, 0, 1, 1, 1, 1)Entire imageInput imageNeuron dropout’s gradCAMGrid dropout’s gradCAMFig.1.Above:imageordinalclassificationwithrandomlyblackoutpatches.Itiseasyforhumantorecognizetheageregardlessofthemissingpatches.Themaskinglabelisalsousefultoimageclassification.Bottom:griddropout’sgrad-CAMisbetterthanthatofneurondropout.Thatistosay,griddropoutcanhelplearningfeaturerepresentation.problem[1].Withtheproliferationofconvolutionalneuralnetwork(CNN),workshavebeencarriedoutonordinalclas-sificationwithCNN[1][2][3].Thoughgoodperformanceshavebeenloggedwithmoderndeeplearningapproaches,therearetwoproblemsinimageordinalclassification.Ononehand,theamountofordinaltrainingdataisverylim-itedwhichprohibitstrainingcomplexmodelsproperly,andtomakemattersworse,collectinglargetrainingdatasetwithordinallabelisdifficult,evenharderthanlabellinggenericdataset.Therefore,insufficienttrainingdataincreasestheriskofoverfitting.Ontheotherhand,lessstudiesareconductedtounderstandwhatdeepmodelshavelearnedonordinaldata978-1-5386-1737-3/18/$31.00c(cid:13)2018IEEE"

+c924137ca87e8b4e1557465405744f8b639b16fc,Seeding Deep Learning using Wireless Localization,"ADDRESSING TRAINING BIAS VIA AUTOMATED IMAGE ANNOTATION
+Zhujun Xiao 1 Yanzi Zhu 2 Yuxin Chen 1 Ben Y. Zhao 1 Junchen Jiang 1 Haitao Zheng 1"

+c936b9a958a67cdd5665b923569d9d786c934029,Software Specification Document For,"Software Specification
+Document
+Crowd_Count++
+Version 1.0
+November 2015
+Juan Mejia      Michael Safdieh      Rosario Antunez
+Prepared by:"

+c9bbf31afbec278ca735e91cf5e9c70dd3aa41a4,Enhancing 3D Face Recognition By Mimics Segmentation,"Enhancing 3D Face Recognition By Mimics Segmentation
+Boulbaba Ben Amor, Mohsen Ardabilian, and Liming Chen
+MI Department, LIRIS Laboratory, CNRS 5205
+Ecole Centrale de Lyon, 36 av. Guy de Collongue, 69134 Lyon , France
+{Boulbaba.Ben-Amor, Mohsen.Ardabilian,"

+c94ae3d1c029a70cabdab906fe1460d84fd42acd,"Comparison of wavelet, Gabor and curvelet transform for face recognition","Optica Applicata, Vol. XLI, No. 1, 2011
+Comparison of wavelet, Gabor and curvelet
+transform for face recognition
+JIULONG ZHANG, YINGHUI WANG, ZHIYU ZHANG, CHUNLI XIA
+Computer Science and Engineering School, Xian University of Technology,
+Xi'an, 710048, P.R. China
+There has been much research about using Gabor wavelet for face recognition. Other multiscale
+geometrical tools, such as curvelet and contourlet, have also been used for face recognition, thus
+it is interesting to know which method performs best, especially under illumination and expression
+hanges.  In  this  paper,  we  make  a  systematic  comparison  of  wavelet,  Gabor  and  curvelet  for
+recognition,  and  find  the  best  subband  irrelevant  to  expression  and  illumination  changes.  We
+ombine the multiscale analysis with subspace decomposition as our algorithm. Experiments show
+that for expression changes, the properties of the coarse layer of curvelet and wavelet are very
+good. Whilst for illumination changes, the low frequency parts of the two methods are similarly
+influenced, but the detail coefficients of curvelet and the high frequency of wavelet work fine with
+PCA, with the former outperforming the latter. When these two factors change simultaneously,
+the detail layer of curvelet is better relative to the others.
+Keywords: wavelet transform, Gabor wavelet, curvelet transform, face recognition, multiscale analysis.
+. Introduction
+Among the so many popular methods for face recognition, the wavelet transform is"

+c9311a0c5045d86a617bd05a5cc269f44e81508d,Accurate Eye Centre Localisation by Means of Gradients,"ACCURATE EYE CENTRE LOCALISATION BY MEANS OF
+GRADIENTS
+Institute for Neuro- and Bioinformatics, University of L¨ubeck, Ratzeburger Allee 160, D-23538 L¨ubeck, Germany
+Pattern Recognition Company GmbH, Innovations Campus L¨ubeck, Maria-Goeppert-Strasse 1, D-23562 L¨ubeck, Germany
+{timm,
+Fabian Timm and Erhardt Barth
+Keywords:"

+c99a23a5bb5d5b10098395f59e9f8f79c79a75bd,Prediction Using Audience Chat Reactions,"Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 972–978
+Copenhagen, Denmark, September 7–11, 2017. c(cid:13)2017 Association for Computational Linguistics"

+c93996cb126589b30c04bf1256c97a4431c0e8b6,Robustness Analysis of Pedestrian Detectors for Surveillance,"Robustness Analysis of Pedestrian Detectors
+for Surveillance
+Yuming Fang, Senior Memmber, IEEE, Guanqun Ding, Yuan Yuan, Weisi Lin, Fellow, IEEE,
+nd Haiwen Liu, Senior Memmber, IEEE"

+c9b139b78e5337580047138d7fc2dff3b8fcf31f,Offline Face Recognition System Based on Gabor- Fisher Descriptors and Hidden Markov Models,"Offline Face Recognition System Based on Gabor-
+Fisher Descriptors and Hidden Markov Models
+Zineb Elgarrai1, Othmane Elmeslouhi2, Mustapha Kardouchi3, Hakim Allali1, Sid-Ahmed Selouani4
+FST of Hassan 1st University Settat /LAVETTE Laboratory,
+FPO of Ibnou Zohr University /LabSIE Laboratory
+Université de Moncton /Département d’Informatique,
+Université de Moncton/Département de Gestion de l’Information"

+c97774191be232678a45d343a25fcc0c96c065e7,Co-Training of Audio and Video Representations from Self-Supervised Temporal Synchronization,"Co-Training of Audio and Video Representations from
+Self-Supervised Temporal Synchronization
+Undergraduate Thesis
+written by
+Bruno Korbar
+under the supervision of Professor Lorenzo Torresani and Du Tran, and
+submitted to the Committee as a culminating experience for the degree of
+Bachelor of Arts in Computer Science
+t Dartmouth College.
+Date of the public presentation: Members of the Thesis Committee:
+May 29, 2018
+Prof Lorenzo Torresani
+Prof Saeed Hassanpour
+Prof Venkatramanan Siva Subrahmanian
+Dartmouth Computer Science Technical Report TR2018-849"

+fc04a50379e08ddde501816eb1f9560c36d01a39,Image Pre-processing Using OpenCV Library on MORPH-II Face Database,"Image Pre-processing Using OpenCV Library on MORPH-II Face Database
+B. Yip, R. Towner, T. Kling, C. Chen, and Y. Wang"

+fc1e37fb16006b62848def92a51434fc74a2431a,A Comprehensive Analysis of Deep Regression,"DRAFT
+A Comprehensive Analysis of Deep Regression
+St´ephane Lathuili`ere, Pablo Mesejo, Xavier Alameda-Pineda, Member IEEE, and Radu Horaud"

+fc7627e57269e7035e4d56105358211076fe4f04,The Association of Quantitative Facial Color Features with Cold Pattern in Traditional East Asian Medicine,"Hindawi
+Evidence-Based Complementary and Alternative Medicine
+Volume 2017, Article ID 9284856, 9 pages
+https://doi.org/10.1155/2017/9284856
+Research Article
+The Association of Quantitative Facial Color Features with
+Cold Pattern in Traditional East Asian Medicine
+Sujeong Mun, Ilkoo Ahn, and Siwoo Lee
+Mibyeong Research Center, Korea Institute of Oriental Medicine, 1672 Yuseong-daero, Yuseong-gu, Daejeon 305-811, Republic of Korea
+Correspondence should be addressed to Siwoo Lee;
+Received 30 June 2017; Accepted 13 September 2017; Published 17 October 2017
+Academic Editor: Kenji Watanabe
+Copyright © 2017 Sujeong Mun et al. This is an open access article distributed under the Creative Commons Attribution License,
+which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
+Introduction. Facial diagnosis is a major component of the diagnostic method in traditional East Asian medicine. We investigated
+the association of quantitative facial color features with cold pattern using a fully automated facial color parameterization system.
+Methods. The facial color parameters of 64 participants were obtained from digital photographs using an automatic color correction
+nd color parameter calculation system. Cold pattern severity was evaluated using a questionnaire. Results. The 𝑎∗ values of the
+whole face, lower cheek, and chin were negatively associated with cold pattern score (CPS) (whole face: 𝐵 = −1.048, 𝑃 = 0.021;
+lower cheek: 𝐵 = −0.494, 𝑃 = 0.007; chin: 𝐵 = −0.640, 𝑃 = 0.031), while 𝑏∗ value of the lower cheek was positively associated"

+fc50c9392fd23b6c88915177c6ae904a498aacea,Scaling Egocentric Vision: The EPIC-KITCHENS Dataset,"Scaling Egocentric Vision:
+The EPIC-KITCHENS Dataset
+Dima Damen1, Hazel Doughty1, Giovanni Maria Farinella2, Sanja Fidler3,
+Antonino Furnari2, Evangelos Kazakos1, Davide Moltisanti1,
+Jonathan Munro1, Toby Perrett1, Will Price1, and Michael Wray1
+Uni. of Bristol, UK 2Uni. of Catania, Italy,
+Uni. of Toronto, Canada"

+fc30d7dbf4c3cdd377d8cd4e7eeabd5d73814b8f,Multiple Object Tracking by Efficient Graph Partitioning,"Multiple Object Tracking
+y Ef‌f‌icient Graph Partitioning
+Ratnesh Kumar, Guillaume Charpiat, Monique Thonnat
+STARS Team, INRIA, Sophia Antipolis, France"

+fcd3d69b418d56ae6800a421c8b89ef363418665,Effects of Aging over Facial Feature Analysis and Face Recognition,"Effects of Aging over Facial Feature Analysis and Face
+Recognition
+Bilgin Esme & Bulent Sankur
+Bogaziçi Un. Electronics Eng. Dept. March 2010"

+fcd77f3ca6b40aad6edbd1dab9681d201f85f365,Machine Learning Based Attacks and Defenses in Computer Security: Towards Privacy and Utility Balance in Sensor Environments,"(cid:13)Copyright 2014
+Miro Enev"

+fc3e097ea7dd5daa7d314ecebe7faad9af5e62fb,Variational Inference and Model Selection with Generalized Evidence Bounds,"Variational Inference and Model Selection
+with Generalized Evidence Bounds
+Chenyang Tao * Liqun Chen * Ruiyi Zhang Ricardo Henao Lawrence Carin"

+fc068f7f8a3b2921ec4f3246e9b6c6015165df9a,Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline),"Beyond Part Models: Person Retrieval with Refined Part Pooling
+(and A Strong Convolutional Baseline)
+Yifan Sun†, Liang Zheng‡, Yi Yang‡, Qi Tian§, Shengjin Wang†∗
+Tsinghua University ‡University of Technology Sydney §University of Texas at San Antonio
+{liangzheng06,"

+fcc6fd9b243474cd96d5a7f4a974f0ef85e7ddf7,InclusiveFaceNet: Improving Face Attribute Detection with Race and Gender Diversity,"Improving Face Attribute Detection with Race and Gender Diversity
+InclusiveFaceNet:
+Hee Jung Ryu 1 Hartwig Adam * 1 Margaret Mitchell * 1"

+fc64f43cdcf4898b15ddce8b441d2ab9daa324f0,Gabor Filter-based Face Recognition Technique,"THE PUBLISHING HOUSE
+OF THE ROMANIAN ACADEMY
+PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A,
+Volume 11, Number 3/2010, pp. 277–283
+GABOR FILTER-BASED FACE RECOGNITION TECHNIQUE
+Tudor BARBU
+Institute of Computer Science, Romanian Academy, Iaşi, Romania
+E-mail:
+We propose a novel human face recognition approach in this paper, based on two-dimensional Gabor
+filtering and supervised classification. The feature extraction technique proposed in this article uses
+D  Gabor  filter  banks  and  produces  robust  3D  face  feature  vectors.  A  supervised  classifier,  using
+minimum average distances, is developed for these vectors. The recognition process is completed by a
+threshold-based  face  verification  method,  also  provided.  A  high  facial  recognition  rate  is  obtained
+using  our  technique.  Some  experiments,  whose  satisfactory  results  prove  the  effectiveness  of  this
+recognition approach, are also described in the paper.
+Key words: Face recognition; Face identification; Feature vector; 2D Gabor filter; Supervised classification;
+Face verification.
+. INTRODUCTION
+This  article  approaches  an  important  biometric  domain,  which  is  human  face  recognition.  Face
+represents  a  physiological  biometric  identifier  that  is  widely  used  in  person  recognition.  During  the  past"

+fc74e14a3195fdf91157d5ea86d35c576fcf01d6,Detection and Handling of Occlusion in an Object Detection System,"Detection and Handling of Occlusion in an
+Object Detection System
+R.M.G. Op het Velda, R.G.J. Wijnhovenb, Y. Bondarauc and Peter H.N. de Withd
+,bViNotion B.V., Horsten 1, 5612 AX, Eindhoven, The Netherlands;
+,c,dEindhoven University of Technology, Den Dolech 2, 5612 AZ, Eindhoven, The Netherlands"

+fc27c2c8a2486f5918451fbef198f46b5bf45d2c,Robust Real-Time Multi-View Eye Tracking,"IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. XX, NO. XX, 2018
+Robust Real-Time Multi-View Eye Tracking
+Nuri Murat Arar, Student Member, IEEE, and Jean-Philippe Thiran, Senior Member, IEEE"

+fc73090889036a0e42ea40827ac835cd5e135b16,Deep Learning based Large Scale Visual Recommendation and Search for E-Commerce,"Deep Learning based Large Scale Visual Recommendation and
+Search for E-Commerce
+Devashish Shankar, Sujay Narumanchi, Ananya H A,
+Pramod Kompalli, Krishnendu Chaudhury
+Flipkart Internet Pvt. Ltd.,
+Bengaluru, India."

+fcb64ef4421cebb80eb33f62c7726f339eb2bb62,Deep View-Aware Metric Learning for Person Re-Identification,Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18)

+fcf8bb1bf2b7e3f71fb337ca3fcf3d9cf18daa46,Feature Selection via Sparse Approximation for Face Recognition,"MANUSCRIPT SUBMITTED TO IEEE TRANS. PATTERN ANAL. MACH. INTELL., JULY 2010
+Feature Selection via Sparse Approximation for
+Face Recognition
+Yixiong Liang, Lei Wang, Yao Xiang, and Beiji Zou"

+fcd9221f8ef306155f59817a3b0bdae05e9e0ae2,GEFeWS: A Hybrid Genetic-Based Feature Weighting and Selection Algorithm for Multi-Biometric Recognition,"GEFeWS: A Hybrid Genetic-Based Feature Weighting and
+Selection Algorithm for Multi-Biometric Recognition
+Aniesha Alford+, Khary Popplewell#, Gerry Dozier#, Kelvin Bryant#, John Kelly+,
+Josh Adams#, Tamirat Abegaz^, and Joseph Shelton#
+Center for Advanced Studies in Identity Sciences
++Electrical and Computer Engineering Department,
+#Computer Science Department
+^Computational Science and Engineering Department
+North Carolina A & T State University
+601 E Market St., Greensboro, NC  27411"

+fcabf1c0f4a26431d4df95ddeec2b1dff9b3e928,Semantic Segmentation using Adversarial Networks,

+fcbf808bdf140442cddf0710defb2766c2d25c30,Unsupervised Semantic Action Discovery from Video Collections,"IJCV manuscript No.
+(will be inserted by the editor)
+Unsupervised Semantic Action Discovery from Video
+Collections
+Ozan Sener · Amir Roshan Zamir · Chenxia Wu · Silvio Savarese ·
+Ashutosh Saxena
+Received: date / Accepted: date"

+fd51665efe2520a55aa58b2f1863a3bd9870529f,Understanding Compressive Adversarial Privacy,"Understanding Compressive Adversarial Privacy
+Xiao Chen, Peter Kairouz, Ram Rajagopal"

+fd4ac1da699885f71970588f84316589b7d8317b,Supervised Descent Method for Solving Nonlinear Least Squares Problems in Computer Vision,"JOURNAL OF LATEX CLASS FILES, VOL. 6, NO. 1, JANUARY 2007
+Supervised Descent Method
+for Solving Nonlinear Least Squares
+Problems in Computer Vision
+Xuehan Xiong, and Fernando De la Torre"

+fde3f34a1accadb73269e4beef487611f682b781,"Before A Computer Can Draw, It Must First Learn To See","Before A Computer Can Draw, It Must First Learn To See
+Derrall Heath and Dan Ventura
+Computer Science Department
+Brigham Young University
+Provo, UT 84602 USA"

+fdf533eeb1306ba418b09210387833bdf27bb756,Exploiting Unrelated Tasks in Multi-Task Learning,

+fdb956c7705b7f57f56f944a0f3f4ede1d6f77fa,Does Fast Fashion Increase the Demand for Premium Brands ?,"Does Fast Fashion Increase the Demand for Premium Brands?
+A Structural Analysis
+Zijun	(June)	Shi1,	Param	Vir	Singh,	Dokyun	Lee,	Kannan	Srinivasan
+(Preliminary	draft.	Please	do	not	cite	without	the	authors’	permission.)"

+fdda5852f2cffc871fd40b0cb1aa14cea54cd7e3,Im2Flow: Motion Hallucination from Static Images for Action Recognition,"Im2Flow: Motion Hallucination from Static Images for Action Recognition
+Ruohan Gao
+UT Austin
+Bo Xiong
+UT Austin
+Kristen Grauman
+UT Austin"

+fd1b917476b114919de0ae1b6a4b96a52a410c20,A Memory Based Face Recognition Method,"A Memory Based Face Recognition Method
+Alex Pappachen James
+B. Tech. (Hons), M. Tech.
+Grif‌f‌ith School of Engineering
+Science, Environment, Engineering and Technology
+Grif‌f‌ith University
+Submitted in fulfilment of the requirements of the degree of
+Doctor of Philosophy
+November 2008"

+fdfaf46910012c7cdf72bba12e802a318b5bef5a,Computerized Face Recognition in Renaissance Portrait Art,"Computerized Face Recognition in Renaissance
+Portrait Art
+Ramya Srinivasan, Conrad Rudolph and Amit Roy-Chowdhury"

+fd4c46bfd3bb00ed93b0bb5b28ef0336f59f0c15,Expressing Emotions through Vibration for Perception and Control,"Expressing Emotions through Vibration
+for Perception and Control
+Shafiq ur Réhman
+Doctoral Thesis, April 2010
+Department of Applied Physics and Electronics
+Umeå University, Sweden
+UNIVERSITETSSERVICEProfil & CopyshopÖppettider:Måndag - fredag 10-16Tel. 786 52 00 alt 070-640 52 01Universumhuset"

+fd6d2e4f939b8d804a6b5908bded8f1ad2563e38,Stabilizing GAN Training with Multiple Random Projections,"Stabilizing GAN Training with
+Multiple Random Projections
+Behnam Neyshabur Srinadh Bhojanapalli Ayan Chakrabarti
+Toyota Technological Institute at Chicago
+6045 S. Kenwood Ave., Chicago, IL 60637"

+fdbe7c520568d9a32048270d2c87113c635dc7e6,Live Stream Oriented Age and Gender Estimation using Boosted LBP Histograms Comparisons,"Live Stream Oriented Age and Gender Estimation using Boosted LBP
+Histograms Comparisons
+LAMIA, University of the French West Indies and Guiana, Campus de Fouillole, BP 250, 97157 Pointe `a Pitre, France
+Lionel Prevost1, Philippe Phothisane2 and Erwan Bigorgne2
+Eikeo, 11 rue L´eon Jouhaux, 75010 Paris, France
+Keywords:
+Face Analysis, Boosting, Gender Estimation, Age Estimation."

+fd0a1a2ecf69a6c1a6efcb18b8f23e4d5402f601,"ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events","ExtremeWeather: A large-scale climate dataset for
+semi-supervised detection, localization, and
+understanding of extreme weather events
+Evan Racah1,2, Christopher Beckham1,3, Tegan Maharaj1,3,
+Samira Ebrahimi Kahou4, Prabhat2, Christopher Pal1,3
+MILA, Université de Montréal,
+Lawrence Berkeley National Lab, Berkeley, CA,
+École Polytechnique de Montréal,
+Microsoft Maluuba,"

+fd67b9812fa4aef6c5dfb633df4406105cdb4e8f,Zero-Shot Learning with Generative Latent Prototype Model,"Zero-Shot Learning with Generative Latent
+Prototype Model
+Yanan Li, Student Member, IEEE, Donghui Wang, Member, IEEE"

+fdca08416bdadda91ae977db7d503e8610dd744f,ICT - 2009 . 7 . 1 KSERA Project 2010 - 248085,"ICT-2009.7.1
+KSERA Project
+010-248085
+Deliverable D3.1
+Deliverable D3.1
+Human Robot Interaction
+Human Robot Interaction
+8 October 2010
+Public Document
+The KSERA project (http://www.ksera
+KSERA project (http://www.ksera-project.eu) has received funding from the European Commission
+project.eu) has received funding from the European Commission
+under the 7th Framework Programme (FP7) for Research and Technological Development under grant
+under the 7th Framework Programme (FP7) for Research and Technological Development under grant
+under the 7th Framework Programme (FP7) for Research and Technological Development under grant
+greement n°2010-248085."

+fd4537b92ab9fa7c653e9e5b9c4f815914a498c0,One-Sided Unsupervised Domain Mapping,

+fdf31db5aa8cf8a7f9ac84fcc7b0949e8e000a41,MODELING FASHION Anonymous ICME submission,"MODELING FASHION
+Anonymous ICME submission"

+fd8bb112b197e23183feeb6d1f4506d180caa4fc,Fashion Clothes Matching Scheme Learned from Fashionista ’ S Suggestions in Microblog,"FASHION CLOTHES MATCHING SCHEME LEARNED FROM FASHIONISTA’S
+SUGGESTIONS IN MICROBLOG
+Guangyu Gao1, Yihang Zhang1, Songyang Du2
+School of Software, Beijing Institute of Technology. Beijing 100081, China
+Beijing Special Vehicle Research Institute. Beijing 100072, China"

+fd96432675911a702b8a4ce857b7c8619498bf9f,Improved Face Detection and Alignment using Cascade Deep Convolutional Network,"Improved Face Detection and Alignment using Cascade
+Deep Convolutional Network
+Weilin Cong†, Sanyuan Zhao†, Hui Tian‡, and Jianbing Shen†
+Beijing Key Laboratory of Intelligent Information Technology, School of
+Computer Science,Beijing Institute of Technology, Beijing 100081, P.R.China
+China Mobile Research Institute, Xuanwu Men West Street, Beijing"

+fdd94d77377df6e55d14e41a28141dc241d8b5d6,Current Status and Future Prospects of Clinical Psychology: Toward a Scientifically Principled Approach to Mental and Behavioral Health Care.,"Current Status and Future Prospects of Clinical Psychology: Toward a Scientifically
+Principled Approach to Mental and Behavioral Health Care
+Author(s): Timothy B. Baker, Richard M. McFall and  Varda Shoham
+Source: Psychological Science in the Public Interest, Vol. 9, No. 2 (November 2008), pp. 67-
+Published by: Sage Publications, Inc. on behalf of the Association for Psychological Science
+Stable URL: http://www.jstor.org/stable/20697320
+Accessed: 07-02-2017 15:41 UTC
+REFERENCES
+Linked references are available on JSTOR for this article:
+http://www.jstor.org/stable/20697320?seq=1&cid=pdf-reference#references_tab_contents
+You may need to log in to JSTOR to access the linked references.
+JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted
+digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about
+JSTOR, please contact
+Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at
+http://about.jstor.org/terms
+Sage Publications, Inc., Association for Psychological Science are collaborating with JSTOR to
+digitize, preserve and extend access to Psychological Science in the Public Interest
+This content downloaded from 129.133.179.122 on Tue, 07 Feb 2017 15:41:42 UTC
+All use subject to http://about.jstor.org/terms"

+fd0e1fecf7e72318a4c53463fd5650720df40281,End-to-End Comparative Attention Networks for Person Re-Identification,"End-to-End Comparative Attention Networks for
+Person Re-identification
+Hao Liu, Jiashi Feng, Meibin Qi, Jianguo Jiang and Shuicheng Yan, Fellow, IEEE"

+fd4f9955ec28b63443039cb9d4e15bae796defe4,Predictably Angry - Facial Cues Provide a Credible Signal of Destructive Behavior,"Predictably Angry
+Facial cues provide a credible signal of destructive behavior
+Boris van Leeuwen1, Charles N. Noussair2, Theo Offerman3,
+Sigrid Suetens4, Matthijs van Veelen5, and Jeroen van de Ven6
+November 2016"

+fdb33141005ca1b208a725796732ab10a9c37d75,A connectionist computational method for face recognition,"Int.J.Appl. Math. Comput.Sci.,2016,Vol. 26,No. 2,451–465
+DOI: 10.1515/amcs-2016-0032
+A CONNECTIONIST COMPUTATIONAL METHOD FOR FACE RECOGNITION
+FRANCISCO A. PUJOL a, HIGINIO MORA a,∗
+, JOS ´E A. GIRONA-SELVA a
+Department of Computer Technology
+University of Alicante, 03690, San Vicente del Raspeig, Alicante, Spain
+e-mail:
+In this work, a modified version of the elastic bunch graph matching (EBGM) algorithm for face recognition is introduced.
+First, faces are detected by using a fuzzy skin detector based on the RGB color space. Then, the fiducial points for the facial
+graph are extracted automatically by adjusting a grid of points to the result of an edge detector. After that, the position of
+the nodes, their relation with their neighbors and their Gabor jets are calculated in order to obtain the feature vector defining
+each face. A self-organizing map (SOM) framework is shown afterwards. Thus, the calculation of the winning neuron and
+the recognition process are performed by using a similarity function that takes into account both the geometric and texture
+information of the facial graph. The set of experiments carried out for our SOM-EBGM method shows the accuracy of our
+proposal when compared with other state-of the-art methods.
+Keywords: pattern recognition, face recognition, neural networks, self-organizing maps.
+Introduction
+libraries,
+In recent years, there has been intensive research carried"

+fd23502287ae4ca8db63e4e5080c359610398be5,Real-Time Pedestrian Detection with Deep Network Cascades,"ANGELOVA ET AL.: REAL-TIME PEDESTRIAN DETECTION WITH DEEP CASCADES
+Real-Time Pedestrian Detection With Deep
+Network Cascades
+Anelia Angelova1
+Alex Krizhevsky1
+Vincent Vanhoucke1
+Abhijit Ogale2
+Dave Ferguson2
+Google Research
+600 Amphitheatre Parkway
+Mountain View, CA, USA
+Google X
+600 Amphitheatre Parkway
+Mountain View, CA, USA"

+fd9286f0e465deffad59123f46fa4f66cb15c3e4,Learning Answer Embeddings for Visual Question Answering,"Learning Answer Embeddings for Visual Question Answering
+Hexiang Hu∗
+U. of Southern California
+Los Angeles, CA
+Wei-Lun Chao∗
+Los Angeles, CA
+U. of Southern California
+U. of Southern California
+Fei Sha
+Los Angeles, CA"

+fd8b1715ad34858bf8650ac549c4249d86edbb7c,Paper Title (use style: paper title),"International Association of Scientific Innovation and Research (IASIR)
+(An Association Unifying the Sciences, Engineering, and Applied Research)
+ISSN (Print): 2279-0063
+ISSN (Online): 2279-0071
+International Journal of Software and Web Sciences (IJSWS)
+www.iasir.net
+A survey of techniques for human segmentation from static images
+Ms.Ashwini T. Magar, Prof.J.V.Shinde
+Late G.N.Sapkal College of Engineering,
+Computer Engineering Department, Nashik,
+University of Pune, India.
+__________________________________________________________________________________________"

+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
+University of Wisconsin – Madison
+http://www.cs.wisc.edu/~lizhang/projects/joint-align/"

+fdc60fe4654b5efe0752acabef0ec6258062be0f,Multi-Sensor Fusion Adopted 2-D Laser Rangefinder and Camera for Pedestrian Detection,"2nd ITS World Congress, Bordeaux, France, 5–9 October 2015
+Paper number ITS-1576
+Multi-Sensor Fusion Adopted 2-D Laser Rangefinder and Camera
+for Pedestrian Detection
+Kuo-Ching Chang*, Chi-Kuo Chen, Pao-Kai Tseng
+Automotive Research & Testing Center, Taiwan
++886-4-7811222 Ext. 2323,"

+fd069af1ede370625703f7984e52f282fcd6342e,Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents,"Guided Feature Transformation (GFT): A Neural
+Language Grounding Module for Embodied Agents
+Haonan Yu†, Xiaochen Lian†, Haichao Zhang†, and Wei Xu‡
+Baidu Research, Sunnyvale CA USA
+Horizon Robotics, Cupertino CA USA"

+fdee0cf79e9a2695857afeee6526352918c9f315,Quantization for Rapid Deployment of Deep Neural Networks,"Quantization for Rapid Deployment of Deep Neural Networks
+Jun Haeng Lee∗, Sangwon Ha∗, Saerom Choi, Won-Jo Lee, Seungwon Lee
+Samsung Advanced Institute of Technology
+Samsung-ro 130, Suwon-si, Republic of Korea
+{junhaeng2.lee,"

+fdaf65b314faee97220162980e76dbc8f32db9d6,Face recognition using both visible light image and near-infrared image and a deep network,"Accepted Manuscript
+Face recognition using both visible light image and near-infrared image and a deep
+network
+Kai Guo, Shuai Wu, Yong Xu
+Reference:
+S2468-2322(17)30014-8
+0.1016/j.trit.2017.03.001
+TRIT 41
+To appear in:
+CAAI Transactions on Intelligence Technology
+Received Date: 30 January 2017
+Accepted Date: 28 March 2017
+Please cite this article as: K. Guo, S. Wu, Y. Xu, Face recognition using both visible light image and
+near-infrared image and a deep network, CAAI Transactions on Intelligence Technology (2017), doi:
+0.1016/j.trit.2017.03.001.
+This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to
+our customers we are providing this early version of the manuscript. The manuscript will undergo
+opyediting, typesetting, and review of the resulting proof before it is published in its final form. Please
+note that during the production process errors may be discovered which could affect the content, and all
+legal disclaimers that apply to the journal pertain."

+f218df397afb1f070ee093bb9a19616f61b562c4,A Neural Network Model of Face Detection for Active Vision Implementation,"International Journal of Modern Engineering Research (IJMER)
+www.ijmer.com              Vol. 2, Issue. 5, Sept.-Oct. 2012 pp-2969-2974               ISSN: 2249-6645
+A Neural Network Model of Face Detection for Active Vision
+Implementation
+Yasuomi D. Sato*, ** Yasutaka Kuriya*
+* Department of Brain Science and Engineering, Graduate School for Life Science and Systems Engineering, Kyushu
+** Frankfurt Institute for Advanced Studies (FIAS), Goethe University Frankfurt, Germany
+Institute of Technology, Japan
+impaired"

+f22058a3003cee6b17c6c25c8a635a653e78614c,Multimodal Attention in Recurrent Neural Networks for Visual Question Answering,"Global Journal of Computer Science and Technology: D
+Neural & Artificial Intelligence
+Volume 17   Issue 1 Version 1.0 Year 2017
+Type: Double Blind Peer Reviewed International Research Journal
+Publisher: Global Journals Inc. (USA)
+Online ISSN: 0975-4172 & Print ISSN: 0975-4350
+Multimodal  Attention  in  Recurrent  Neural  Networks  for  Visual
+Question Answering
+By Lorena Kodra & Elinda Kajo Meçe
+Polytechnic University of Tirana"

+f26d34d8a8d082ce2c81937f61c28f3769c38372,Probability of Seeing Increases Saccadic Readiness,"Probability of Seeing Increases Saccadic Readiness
+The´ re` se Collins*
+Laboratoire Psychologie de la Perception, Universite´ Paris Descartes & CNRS, Paris, France"

+f2efc85f9e20840c591b4590fd9ed202f727546a,Distributed signature fusion for person re-identification,"Distributed Signature Fusion for
+Person Re-Identification
+Niki Martinel
+University of Udine
+Udine, Italy
+Christian Micheloni
+University of Udine
+Udine, Italy
+Claudio Piciarelli
+University of Udine
+Udine, Italy"

+f2889f3ab8e330e1ba6b23d493f8d727f49a9bc8,Recent Advances in Neural Program Synthesis,"Recent Advances in Neural Program Synthesis
+Neel Kant
+Machine Learning at Berkeley
+UC Berkeley"

+f26a8dcfbaf9f46c021c41a3545fcfa845660c47,Human Pose Regression by Combining Indirect Part Detection and Contextual Information,"Human Pose Regression by Combining Indirect Part Detection and Contextual
+Information
+Diogo C. Luvizon
+Hedi Tabia
+ETIS Lab., UMR 8051, Universit´e Paris Seine,
+Universit´e Cergy-Pontoise, ENSEA, CNRS.
+{diogo.luvizon, hedi.tabia,
+David Picard"

+f2bccfb12c1546bdf73b11904ac44b1cfa130072,RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement,"RoarNet: A Robust 3D Object Detection based on
+RegiOn Approximation Refinement
+Kiwoo Shin∗†, Youngwook Paul Kwon∗‡ and Masayoshi Tomizuka†"

+f2b2d50d6ca72666bab34e0f101ae1b18b434925,High-Fidelity Monocular Face Reconstruction based on an Unsupervised Model-based Face Autoencoder.,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+High-Fidelity Monocular Face Reconstruction based on an
+Unsupervised Model-based Face Autoencoder
+Ayush Tewari, Michael Zollh¨ofer, Florian Bernard, Pablo Garrido,
+Hyeongwoo Kim, Patrick P´erez, and Christian Theobalt
+(Invited Paper)"

+f29aae30c2cb4c73a3c814408ee5692e22176329,Pairwise Relational Networks using Local Appearance Features for Face Recognition,"Pairwise Relational Networks using Local
+Appearance Features for Face Recognition
+Bong-Nam Kang
+Yonghyun Kim, Daijin Kim
+Department of Creative IT Engineering
+Department of Computer Science and Engineering
+POSTECH, Korea
+POSTECH, Korea"

+f2b95f135b95c3df4f6ebe6015098a2e1667711d,Weakly Supervised Object Localization Using Things and Stuff Transfer,"Weakly Supervised Object Localization Using Things and Stuff Transfer
+Miaojing Shi1,2
+Holger Caesar1
+University of Edinburgh 2Tencent Youtu Lab
+Vittorio Ferrari1"

+f2e9494d0dca9fb6b274107032781d435a508de6,Title of Dissertation : UNCONSTRAINED FACE RECOGNITION,

+f2877cdbffb0c9a4de1f562099d2f0597bcfec0b,"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
+nd Video Processing
+RESEARCH
+Open Access
+COGNIMUSE: a multimodal video
+database annotated with saliency, events,
+semantics and emotion with application to
+summarization
+Athanasia Zlatintsi1*
+Niki Efthymiou1, Katerina Pastra4, Alexandros Potamianos1 and Petros Maragos1
+, Petros Koutras1, Georgios Evangelopoulos2, Nikolaos Malandrakis3,"

+f20f93a5b2291283c0e40bd0418927efb06acb6a,A Tale of Two Encodings : Comparing Bag-of-Words and Word 2 vec for VQA,"A Tale of Two Encodings: Comparing Bag-of-Words and Word2vec for VQA
+Berthy Feng
+Princeton University ’19
+Divya Thuremella
+Princeton University ’18"

+f2a7f9bd040aa8ea87672d38606a84c31163e171,Human Action Recognition without Human,"Human Action Recognition without Human
+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,"

+f2d95a5b29986a6a28746b30adfa43497b27ff02,Global Self-Similarity and Saliency Measures Based on Sparse Representations for Classification of Objects and Spatio-temporal Sequences,"Global Self-Similarity and Saliency Measures Based on
+Sparse Representations for Classification of Objects and
+Spatio-temporal Sequences.
+A DISSERTATION
+SUBMITTED TO THE FACULTY OF THE GRADUATE SCHOOL
+OF THE UNIVERSITY OF MINNESOTA
+Guruprasad Somasundaram
+IN PARTIAL FULFILLMENT OF THE REQUIREMENTS
+FOR THE DEGREE OF
+Doctor of Philosophy
+Nikolaos Papanikolopoulos
+November, 2012"

+f2b79ae191fc03a93ed50eea773279f67c8351e1,Annotating Images with Suggestions - User Study of a Tagging System,"Annotating images with suggestions — user
+study of a tagging system
+Michal Hradiˇs, Martin Kol´aˇr, Aleˇs L´an´ık, Jiˇr´ı Kr´al, Pavel Zemˇc´ık and Pavel
+Smrˇz
+Faculty of Information Technology
+VUT — Brno University of Technology
+Brno Czech Republic"

+f23d4ed760a35fbfaeab47efde3d876c1818d3d1,Dynamicity and Durability in Scalable Visual Instance Search,"Dynamicity and Durability in Scalable Visual Instance Search
+Herwig Lejsek∗
+Videntifier Technologies, Iceland
+Björn Þór Jónsson†
+Reykjavík University, Iceland
+ITU Copenhagen, Denmark
+Laurent Amsaleg
+IRISA–CNRS, France
+Friðrik Heiðar Ásmundsson∗
+Videntifier Technologies, Iceland"

+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
+,350
+08,000
+.7 M
+Open access books available
+International  authors and editors
+Downloads
+Our authors are among the
+Countries delivered to
+TOP 1%
+2.2%
+most cited scientists
+Contributors from top 500 universities
+Selection of our books indexed in the Book Citation Index
+in Web of Science™ Core Collection (BKCI)
+Interested in publishing with us?
+Contact
+Numbers displayed above are based on latest data collected."

+f22a7a7a8cdd323270d1f8173c0289d61981dc73,Face Recognition System Using Wavelet Normalization,"ISSN(Online): 2319-8753
+ISSN (Print):   2347-6710
+International Journal of Innovative Research in Science,
+Engineering and Technology
+(An ISO 3297: 2007 Certified Organization)
+Vol. 4, Issue 12, December 2015
+Face Recognition System Using
+Wavelet Normalization
+R.Anitha 1, S.Ramila 2
+Assistant Professor, Dept. of CSE, Sri Krishna College of Technology, Coimbatore, India 1
+Assistant Professor, Dept. of CSE, Sri Krishna College of Technology, Coimbatore, India 2"

+f202c78e58d33a65c19183414ad0ee91be440d61,Investigating the Influence of Biological Sex on the Behavioral and Neural Basis of Face Recognition,"New Research
+Sensory and Motor Systems
+Investigating the Influence of Biological Sex on
+the Behavioral and Neural Basis of Face
+Recognition
+K. Suzanne Scherf,1,2 Daniel B. Elbich,1 and Natalie V. Motta-Mena1
+DOI:http://dx.doi.org/10.1523/ENEURO.0104-17.2017
+Department of Psychology, Pennsylvania State University, University Park, PA 16802, and 2Department of
+Neuroscience, Pennsylvania State University, University Park, PA 16802"

+f2b547b0bbda1478cbecbd5c184c3c42c3db7e3c,Semi-parametric Image Synthesis,

+f565ac8e175e4659fadd3b5b6507ebac2d90a2b7,Interpretable Visual Question Answering by Reasoning on Dependency Trees,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. X, NO. X, XXX
+Interpretable Visual Question Answering by
+Reasoning on Dependency Trees
+Qingxing Cao, Xiaodan Liang, Bailin Li and Liang Lin"

+f59ac278349083a50871822ea08172258030265a,Large-Scale Fiber Tracking Through Sparsely Sampled Image Sequences of Composite Materials,"Large-Scale Fiber Tracking Through Sparsely
+Sampled Image Sequences of Composite Materials
+Youjie Zhou, Student Member, IEEE, Hongkai Yu, Student Member, IEEE, Jeff Simmons, Member, IEEE,
+Craig P. Przybyla, and Song Wang, Senior Member, IEEE
+nd accurate"

+f5c99652c4c89e56156faf2bed361a15de6162d5,Towards Large-Scale Multimedia Retrieval Enriched by Knowledge about Human Interpretation Retrospective Survey,"Noname manuscript No.
+(will be inserted by the editor)
+Towards Large-Scale Multimedia Retrieval Enriched
+y Knowledge about Human Interpretation
+Retrospective Survey
+Kimiaki Shirahama · Marcin Grzegorzek
+Received: date / Accepted: date"

+f56edb6f2bf4f5bc9d54284289212b8d4a437c1b,Detection and Localization of Texture-less Objects with Deep Neural Networks,"Bachelor Thesis
+Czech
+Technical
+University
+in Prague
+Faculty of Electrical Engineering
+Department of Cybernetics
+Detection and Localization of Texture-less
+Objects with Deep Neural Networks
+Pavel Haluza
+Supervisor: Ing. Tomáš Hodaň
+May 2017"

+f5050ffebf973d4d848049dcf661891acd950b82,"Face and object discrimination in autism, and relationship to IQ and age.","J Autism Dev Disord
+DOI 10.1007/s10803-013-1955-z
+O R I G I N A L P A P E R
+Face and Object Discrimination in Autism, and Relationship to IQ
+nd Age
+Pamela M. Pallett • Shereen J. Cohen •
+Karen R. Dobkins
+Ó Springer Science+Business Media New York 2013
+faces, yet"

+f553f8022b1417bc7420523220924b04e3f27b8e,Finding your Lookalike: Measuring Face Similarity Rather than Face Identity,"Finding your Lookalike:
+Measuring Face Similarity Rather than Face Identity
+Amir Sadovnik, Wassim Gharbi, Thanh Vu
+Lafayette College
+Easton, PA
+Andrew Gallagher
+Google Research
+Mountain View, CA"

+f580b0e1020ad67bdbb11e8d99a59c21a8df1e7d,Compressed Sensing using Generative Models,"Compressed Sensing using Generative Models
+Ashish Bora∗
+Ajil Jalal†
+Eric Price‡
+Alexandros G. Dimakis§"

+f5770dd225501ff3764f9023f19a76fad28127d4,Real Time Online Facial Expression Transfer with Single Video Camera,"Real Time Online Facial Expression Transfer
+with Single Video Camera"

+f51771c6cd9061acc9c468e7b44d5d3b6c552b32,Discriminative Dictionaries and Projections for Visual Classification,

+f5c83679b73ab59c2ada2b72610acdd63669b226,2d-3d Pose Invariant Face Recognition System for Multimedia Applications,"D-3D POSE INVARIANT FACE RECOGNITION
+SYSTEM FOR MULTIMEDIA APPLICATIONS
+Authors:
+Antonio Rama1, Francesc Tarrés1
+Jürgen Rurainsky2
+{tonirama,
+Department of Signal Theory and Communications
+Universitat Politècnica de Catalunya (UPC)
+Image Processing Department
+Fraunhofer Institute for Telecommunications
+Heinrich-Hertz-Institut (HHI)
+Automatic  Face  recognition  of  people  is  a  challenging  problem  which  has  re-
+eived much attention during the recent years due to its potential multimedia ap-
+plications in different fields such as 3D videoconference, security applications or
+video indexing. However, there is no technique that provides a robust solution to
+ll  situations  and  different  applications,  yet.  Face  recognition  includes  a  set  of
+hallenges like expression variations, occlusions of facial parts, similar identities,
+resolution of the acquired images, aging of the subjects and many others. Among
+ll these challenges, most of the face recognition techniques have evolved in order
+to overcome two main problems: illumination and pose variation. Either of these"

+f5a52b69dde106cb69cb7c35dd8ca23071966876,Nonparametric Scene Parsing via Label Transfer,"Nonparametric Scene Parsing
+via Label Transfer
+Ce Liu, Member, IEEE, Jenny Yuen, Student Member, IEEE, and
+Antonio Torralba, Member, IEEE"

+f558a3812106764fb1af854a02da080cc42c197f,Amygdala volume and nonverbal social impairment in adolescent and adult males with autism.,"ORIGINAL ARTICLE
+Amygdala Volume and Nonverbal Social Impairment
+in Adolescent and Adult Males With Autism
+Brendon M. Nacewicz, BS; Kim M. Dalton, PhD; Tom Johnstone, PhD; Micah T. Long, BS; Emelia M. McAuliff, BS;
+Terrence R. Oakes, PhD; Andrew L. Alexander, PhD; Richard J. Davidson, PhD
+Background: Autism is a syndrome of unknown cause,
+marked by abnormal development of social behavior. At-
+tempts to link pathological features of the amygdala, which
+plays a key role in emotional processing, to autism have
+shown little consensus.
+Objective: To evaluate amygdala volume in individu-
+ls with autism spectrum disorders and its relationship
+to laboratory measures of social behavior to examine
+whether variations in amygdala structure relate to symp-
+tom severity.
+Design: We conducted 2 cross-sectional studies of amyg-
+dala volume, measured blind to diagnosis on high-
+resolution, anatomical magnetic resonance images. Par-
+ticipants were 54 males aged 8 to 25 years, including 23
+with autism and 5 with Asperger syndrome or pervasive"

+f558af209dd4c48e4b2f551b01065a6435c3ef33,An Enhanced Attribute Reranking Design for Web Image Search,"International Journal of Emerging Technology in Computer Science & Electronics (IJETCSE)
+ISSN: 0976-1353 Volume 23 Issue 1 –JUNE 2016.
+AN ENHANCED ATTRIBUTE
+RERANKING DESIGN FOR WEB IMAGE
+SEARCH
+Sai Tejaswi Dasari#1 and G K Kishore Babu*2
+#Student,Cse, CIET, Lam,Guntur, India
+* Assistant Professort,Cse, CIET, Lam,Guntur , India"

+f5083b4e28e42a2da7bafd2a742ab8e21c12559f,Deep Learning for Automated Image Classification of Seismic Damage to Built Infrastructure,"Eleventh U.S. National Conference on Earthquake Engineering
+Integrating Science, Engineering & Policy
+June 25-29, 2018
+Los Angeles, California
+DEEP LEARNING FOR AUTOMATED
+IMAGE CLASSIFICATION OF SEISMIC
+DAMAGE TO BUILT INFRASTRUCTURE
+B. Patterson1 , G. Leone1, M. Pantoja1, and A. Behrouzi2"

+f5adb841e30eb635b91e95c03575f3b8767c9ed5,Learning Optimal Parameters For Multi-target Tracking,"WANG, FOWLKES: LEARNING MULTI-TARGET TRACKING
+Learning Optimal Parameters
+For Multi-target Tracking
+Shaofei Wang
+Charless Fowlkes
+Dept of Computer Science
+University of California
+Irvine, CA, USA"

+e378ce25579f3676ca50c8f6454e92a886b9e4d7,Robust Video Super-Resolution with Learned Temporal Dynamics,"Robust Video Super-Resolution with Learned Temporal Dynamics
+Ding Liu1 Zhaowen Wang2 Yuchen Fan1 Xianming Liu3
+Zhangyang Wang4 Shiyu Chang5 Thomas Huang1
+University of Illinois at Urbana-Champaign 2Adobe Research
+Facebook 4Texas A&M University 5IBM Research"

+e393a038d520a073b9835df7a3ff104ad610c552,Automatic temporal segment detection via bilateral long short-term memory recurrent neural networks,"Automatic temporal segment
+detection via bilateral long short-
+term memory recurrent neural
+networks
+Bo Sun
+Siming Cao
+Jun He
+Lejun Yu
+Liandong Li
+Bo Sun, Siming Cao, Jun He, Lejun Yu, Liandong Li, “Automatic temporal segment
+detection via bilateral long short-term memory recurrent neural networks,” J.
+Electron. Imaging 26(2), 020501 (2017), doi: 10.1117/1.JEI.26.2.020501.
+Downloaded From: http://electronicimaging.spiedigitallibrary.org/ on 03/03/2017 Terms of Use: http://spiedigitallibrary.org/ss/termsofuse.aspx"

+e312e7657cb98cf03d3b2bf8b21b0ff75fbd4613,No 272 2 D Articulated Human Pose Estimation and Retrieval in ( Almost ) Unconstrained Still Images,"ETH Zurich, D-ITET, BIWI
+Technical Report No 272
+D Articulated Human Pose Estimation and Retrieval in (Almost)
+Unconstrained Still Images
+M. Eichner, M. Marin-Jimenez, A. Zisserman, V. Ferrari"

+e3f2e337d4470545398cc6753a54c21debf9c37b,Potential Contrast – A New Image Quality Measure,"Potential Contrast – A New Image Quality Measure
+Arie Shaus, Shira Faigenbaum-Golovin, Barak Sober, Eli Turkel, Eli Piasetzky; Tel Aviv University; Tel Aviv, Israel"

+e3b0caa1ff9067665e349a2480b057e2afdbc41f,Interactive Effects of Obvious and Ambiguous Social Categories on Perceptions of Leadership: When Double-Minority Status May Be Beneficial.,"702373 PSPXXX10.1177/0146167217702373Personality and Social Psychology BulletinWilson et al.
+research-article2017
+Article
+Interactive Effects of Obvious and
+Ambiguous Social Categories on
+Perceptions of Leadership: When
+Double-Minority Status May
+Be Beneficial
+Personality and Social
+Psychology Bulletin
+017, Vol. 43(6) 888 –900
+© 2017 by the Society for Personality
+nd Social Psychology, Inc
+Reprints and permissions:
+sagepub.com/journalsPermissions.nav
+DOI: 10.1177/0146167217702373
+https://doi.org/10.1177/0146167217702373
+journals.sagepub.com/home/pspb
+John Paul Wilson1, Jessica D. Remedios2, and Nicholas O. Rule3"

+e315959d6e806c8fbfc91f072c322fb26ce0862b,An Efficient Face Recognition System Based on Sub-Window Extraction Algorithm,"An Efficient Face Recognition System Based on Sub-Window
+International Journal of Soft Computing and Engineering (IJSCE)
+ISSN: 2231-2307, Volume-1, Issue-6, January 2012
+Extraction Algorithm
+Manish Gupta, Govind sharma"

+e39d1345a5aef8a5ee32c0a774de877b903de50c,Unsupervised Learning of Semantics of Object Detections for Scene Categorization,"Unsupervised Learning of Semantics of Object
+Detections for Scene Categorization
+Grégoire Mesnil, Salah Rifai, Antoine Bordes, Xavier Glorot, Yoshua Bengio
+nd Pascal Vincent"

+e38c93bb8f7ee103eba4b78443d94f55a63bdf08,Extracting Pathlets From Weak Tracking Data ∗,"Extracting Pathlets From Weak Tracking Data∗
+Kevin Streib
+James W. Davis
+Dept. of Computer Science and Engineering
+Ohio State University, Columbus, OH 43210"

+e33b1833b2d0cd7b0450b22b96a567a59c9e4685,Attribute Discovery via Predictable Discriminative Binary Codes,"Attribute Discovery via
+Predictable Discriminative Binary Codes
+Mohammad Rastegari†
+Ali Farhadi‡
+David Forsyth†
+University of Illinois at Urbana Champagin
+Carnegi Mellon University
+http://vision.ri.cmu.edu/projects/dbc/dbc.html"

+e3f63d12be07c743e7590957f4ed38b06cd98aba,A Novel Approach to Face Detection Algorithm,"A Novel Approach to Face Detection Algorithm
+{tag}                                                                       {/tag}
+International Journal of Computer Applications
+© 2011 by IJCA Journal
+Number 2 - Article 4
+Year of Publication: 2011
+Authors:
+Pritam Singh
+A.S. Thoke
+Kesari Verma
+10.5120/3537-4836"

+e3c420b29b8590442decd330ef70494c2209f149,Learning a Part-Based Pedestrian Detector in a Virtual World,"Learning a Part-based Pedestrian Detector in Virtual
+World
+Jiaolong Xu, David V´azquez, Antonio M. L´opez Member, IEEE, Javier Mar´ın and Daniel Ponsa"

+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"

+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."

+e3b40ffd57a676aef377ef463849fd6b9a3d3b5d,Morphable hundred-core heterogeneous architecture for energy-aware computation,"Received on 16th April 2014
+Revised on 23rd June 2014
+Accepted on 7th August 2014
+doi: 10.1049/iet-cdt.2014.0078
+www.ietdl.org
+ISSN 1751-8601
+Morphable hundred-core heterogeneous architecture
+for energy-aware computation
+Nuno Neves, Henrique Mendes, Ricardo Jorge Chaves, Pedro Tomás, Nuno Roma
+INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Rua Alves Redol, 9, 1000-029 Lisboa, Portugal
+E-mail:"

+e3e44385a71a52fd483c58eb3cdf8d03960c0b70,A Hierarchical Graphical Model for Recognizing Human Actions and Interactions in Video,"Copyright
+Sangho Park"

+e3582dffe5f3466cc5bc9d736934306c551ab33c,AttGAN: Facial Attribute Editing by Only Changing What You Want,"SUBMITTED MANUSCRIPT TO IEEE TRANSACTIONS ON IMAGE PROCESSING
+AttGAN: Facial Attribute Editing by
+Only Changing What You Want
+Zhenliang He, Wangmeng Zuo, Senior Member, IEEE, Meina Kan, Member, IEEE,
+Shiguang Shan, Senior Member, IEEE, and Xilin Chen, Fellow, IEEE
+i.e.,"

+e3b92cc14f2c33bfdc07b794292a30384f8d0ad1,Local Segmentation for Pedestrian Tracking in Dense Crowds,"Local Segmentation for Pedestrian Tracking in
+Dense Crowds
+Clement Creusot
+Toshiba RDC, Kawasaki, Japan,
+http://clementcreusot.com/pedestrian"

+e3bbdd6efc906f6ae17e5b1d62497420991b977d,Visual Explanation by High-Level Abduction: On Answer-Set Programming Driven Reasoning about Moving Objects,"Visual Explanation by High-Level Abduction
+On Answer-Set Programming Driven Reasoning about Moving Objects
+Jakob Suchan1, Mehul Bhatt1,2, Przemysław Wał˛ega3, and Carl Schultz4
+Cognitive Vision – www.cognitive-vision.org
+EASE CRC – http://ease-crc.org
+HCC Lab., University of Bremen, Germany, 2MPI Lab., Örebro University, Sweden
+University of Warsaw, Poland, and 4Aarhus University, Denmark"

+e3f0c5a51d6c5085fbcb64d872d7db438da27474,Ubiquitously Supervised Subspace Learning,"Ubiquitously Supervised Subspace Learning
+Jianchao Yang, Student Member, IEEE, Shuicheng Yan, Member, IEEE, and Thomas S. Huang, Life Fellow, IEEE"

+e39f9565903a9701657ce3ade94c37d8a12f702e,Audio-Visual Scene Analysis with Self-Supervised Multisensory Features,"Audio-Visual Scene Analysis with
+Self-Supervised Multisensory Features
+Andrew Owens Alexei A. Efros
+UC Berkeley"

+e39af9fb267c9deb81f9c73bbd71f5674b4358c0,Conceptualizing and Measuring Well-Being Using Statistical Semantics and Numerical Rating Scales,"Conceptualizing and Measuring Well-Being Using Statistical Semantics and Numerical
+Rating Scales
+Kjell, Oscar
+Published: 2018-03-01
+Document Version
+Publisher's PDF, also known as Version of record
+Link to publication
+Citation for published version (APA):
+Kjell, O. (2018). Conceptualizing and Measuring Well-Being Using Statistical Semantics and Numerical Rating
+Scales Lund
+General rights
+Copyright and moral rights for the publications made accessible in the public portal are retained by the authors
+nd/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the
+legal requirements associated with these rights.
+• Users may download and print one copy of any publication from the public portal for the purpose of private
+study or research.
+• You may not further distribute the material or use it for any profit-making activity or commercial gain
+• You may freely distribute the URL identifying the publication in the public portal
+LUND UNIVERSITYPO Box 117221 00 Lund+46 46-222 00 00"

+e31f24b92a19aeb9a7611a9ca09223c8f5238ae1,Expression Empowered ResiDen Network for Facial Action Unit Detection,"RESIDEN: RESIDUE FLOW IN DENSENET
+Expression Empowered ResiDen Network
+for Facial Action Unit Detection
+Shreyank Jyoti
+Abhinav Dhall
+Learning Affect and Semantic Image
+nalysIs (LASII) Group,
+Indian Institute of Technology Ropar
+Punjab, India"

+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"

+e3144f39f473e238374dd4005c8b83e19764ae9e,Next-Flow: Hybrid Multi-Tasking with Next-Frame Prediction to Boost Optical-Flow Estimation in the Wild,"Next-Flow: Hybrid Multi-Tasking with Next-Frame Prediction to Boost
+Optical-Flow Estimation in the Wild
+Nima Sedaghat
+University of Freiburg
+Germany"

+e38709a2ec162a6f2a2fa3b4b6463e752267b154,Super-resolution for Face Recognition Based on Correlated Features and Nonlinear Mappings,"978-1-4244-4296-6/10/$25.00 ©2010 IEEE
+ICASSP 2010"

+e309632d479b8f59e615d0f3c4bc69938361d187,Deep Learning for Imbalance Data Classification using Class Expert Generative Adversarial Network,"Deep Learning for Imbalance Data Classification using Class Expert
+Generative Adversarial Network
+Fannya, Tjeng Wawan Cenggoroa,b
+Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia 11480
+Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia 11480"

+e3c5c5623af4b1a1f719cac24850dcaa6a304bd5,Training Effective Node Classifiers for Cascade Classification,"ppearing in Int. J. Comput. Vis.; content may change prior to final publication.
+Training Effective Node Classifiers for Cascade
+Classification
+Chunhua Shen · Peng Wang · Sakrapee Paisitkriangkrai ·
+Anton van den Hengel
+December 2012"

+e3660a13fcd75cf876a6ce355c2c1a578cfb57cb,2DHMM-Based Face Recognition Method,"DHMM-BASED FACE RECOGNITION
+METHOD
+Janusz Bobulski1
+Czestochowa University of Technology
+Institute of Computer and Information Science
+Dabrowskiego Street 73, 42-200 Czestochowa, Poland
+Summary. So far many methods of recognizing the face arose, each has the merits
+nd demerits. Among these methods are methods based on Hidden Markov models,
+nd their advantage is the high ef‌f‌iciency. However, the traditional HMM uses one-
+dimensional data, which is not a good solution for image processing, because the
+images are two-dimensional. Transforming the image in a one-dimensional feature
+vector, we remove some of the information that can be used for identification. The
+rticle presents the full ergodic 2D-HMM and applied for face identification.
+Introduction
+Face recognition has great potentials in many applications dealing with unco-
+operative subjects, in which the full power of face recognition being a passive
+iometric technique can be implemented and utilised. Face recognition has
+een an active area of research in image processing and computer vision due
+to its extensive range of prospective applications relating to biometrics, infor-
+mation security, video surveillance, law enforcement, identity authentication,"

+cf77d2e7411814b30aca203376709b12a0eb3e08,Obtaining Better Image Representations by Combining Complementary Activation Features of Multiple ConvNet Layers for Transfer Learning,"Obtaining Better Image Representations by
+Combining Complementary Activation Features of
+Multiple ConvNet Layers for Transfer Learning
+Jumabek Alikhanov
+School of Computer and
+Information Engineering
+Seunghyun Ko
+School of Computer and
+Information Engineering
+Jo Geun Sik
+School of Computer and
+Information Engineering
+Inha University Incheon, South Korea
+Inha University Incheon, South Korea
+Inha University Incheon, South Korea
+Email:
+Email:
+Email:"

+cf98c333c8d7d5870c1ce5538bb0c3de3de16657,Panoptic Segmentation,"Panoptic Segmentation
+Alexander Kirillov1,2 Kaiming He1 Ross Girshick1 Carsten Rother2
+Piotr Doll´ar1
+Facebook AI Research (FAIR)
+HCI/IWR, Heidelberg University, Germany"

+cf40951840bfa9b8721d722e9422c73e3a6fbf59,Real-time Appearance-based Person Re-identification Over Multiple KinectTM Cameras,"Real-time appearance-based person re-identification
+over multiple KinectTMcameras
+Riccardo Satta, Federico Pala, Giorgio Fumera and Fabio Roli
+Department of Electrical and Electronic Engineering, University of Cagliari, Italy
+{riccardo.satta, fumera,
+Keywords:
+Video surveillance, Person Re-identification, Kinect"

+cf280435c471ee099148c4eb9eb2e106ccb2b218,HoME: a Household Multimodal Environment,"HoME: a Household Multimodal Environment
+Simon Brodeur1, Ethan Perez2,3∗, Ankesh Anand2∗, Florian Golemo2,4∗,
+Luca Celotti1, Florian Strub2,5, Jean Rouat1, Hugo Larochelle6,7, Aaron Courville2,7
+Université de Sherbrooke, 2MILA, Université de Montréal, 3Rice University, 4INRIA Bordeaux,
+5Univ. Lille, Inria, UMR 9189 - CRIStAL, 6Google Brain, 7CIFAR Fellow
+{simon.brodeur, luca.celotti,
+{florian.golemo,
+{ankesh.anand,"

+cfc22c35ad191cf9d70f4a3655840748b0e1322c,Real-Time Dense Mapping for Self-driving Vehicles using Fisheye Cameras,"Real-Time Dense Mapping
+for Self-Driving Vehicles using Fisheye Cameras
+Zhaopeng Cui1, Lionel Heng2, Ye Chuan Yeo2, Andreas Geiger3, Marc Pollefeys1,4, and Torsten Sattler1"

+cfcf66e4b22dc7671a5941e94e9d4afae75ba2f8,The Cramer Distance as a Solution to Biased Wasserstein Gradients,"The Cramer Distance as a Solution to Biased
+Wasserstein Gradients
+Marc G. Bellemare1, Ivo Danihelka1,3, Will Dabney1, Shakir Mohamed1
+Balaji Lakshminarayanan1, Stephan Hoyer2, Rémi Munos1
+Google DeepMind, London UK, 2Google
+CoMPLEX, Computer Science, UCL"

+cfffae38fe34e29d47e6deccfd259788176dc213,Training bookcowgrass flower ? ? water sky doggrass water boat water chair road ? cow grass chair grass dog building ?,"TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. X, NO. X, DECEMBER 2012
+Matrix Completion for Weakly-supervised
+Multi-label Image Classification
+Ricardo Cabral, Fernando De la Torre, João P. Costeira, Alexandre Bernardino"

+cfd4004054399f3a5f536df71f9b9987f060f434,Person Recognition in Social Media Photos,"Person Recognition in Personal Photo Collections
+Seong Joon Oh,Rodrigo Benenson, Mario Fritz, and Bernt Schiele, Fellow, IEEE"

+cf216fcd4cf537e53b9ed4f46e59c445e845cfc5,Nonnegative Restricted Boltzmann Machines for Parts-based Representations Discovery and Predictive Model Stabilization,"Noname manuscript No.
+(will be inserted by the editor)
+Nonnegative Restricted Boltzmann Machines for
+Parts-based Representations Discovery and
+Predictive Model Stabilization
+Tu Dinh Nguyen, Truyen Tran, Dinh
+Phung, Svetha Venkatesh
+the date of receipt and acceptance should be inserted later"

+cf8f5cad6aa87a6364f6b5dd985116b902050acf,Slack and Margin Rescaling as Convex Extensions of Supermodular Functions,"Slack and Margin Rescaling as Convex Extensions of
+Supermodular Functions
+Matthew B. Blaschko
+Center for Processing Speech & Images
+Departement Elektrotechniek, KU Leuven
+Kasteelpark Arenberg 10
+001 Leuven, Belgium"

+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:"

+cf2a313b039b8adfee2a14ca5e81f2f5da52b0f2,Learning Fashion Traits with Label Uncertainty,"Learning Fashion Traits with Label Uncertainty
+Gal Levi
+Eli Alshan
+Assaf Neuberger
+Amazon Lab 126
+Herzliya, Israel 4672560
+Amazon Lab 126
+Herzliya, Israel 4672560
+Amazon Lab 126
+Herzliya, Israel 4672560
+Sharon Alpert
+Amazon Lab 126
+Herzliya, Israel 4672560
+Eduard Oks
+Amazon Lab 126
+Herzliya, Israel 4672560"

+cf65c5cfa2a2b0370407810479f179f5fbe88fb1,Multi-Modal Biometrics: An Overview,"Multi-Modal Biometrics: An Overview
+Kevin W. Bowyer,1 K. I. Chang,1 P. Yan,1 P. J. Flynn,1 E. Hansley,2 S. Sarkar2
+. Computer Science and Engineering / University of Notre Dame / Notre Dame, IN 46556 USA
+. Computer Science and Engineering / University of South Florida / Tampa, FL 33620 USA"

+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?
+There  is a  lot  of  talk  about  giving machines  emotions,  some  of
+it fluff. Recently at a large technical meeting, a researcher stood up
+nd talked of how a Bamey stuffed animal [the purple dinosaur for
+kids) ""has  emotions.""  He did not define what he meant by this, but
+fter  repeating  it several  times,  it became  apparent  that  children
+ttributed  emotions  to  Barney,  and that  Barney  had  deliberately
+expressive behaviors that would  encourage the  kids to think. Bar-
+ney had emotions. But kids have  attributed  emotions to  dolls and
+stuffed animals for as long a s  we  know; and most of  my technical
+olleagues would agree that such toys have never had and still do
+not have emotions. What is different now that prompts a researcher
+to make such a claim? Is the computational plush an example of  a
+omputer that really does have emotions?
+If  not Barney, then what would  be  an example  of  a  computa-
+tional system that has emotions? I am not a philosopher, and this
+paper will not be  a  discussion  of  the meaning  of  this question in
+ny philosophical sense. However, as an engineer I am interested"

+cfd8c66e71e98410f564babeb1c5fd6f77182c55,Comparative Study of Coarse Head Pose Estimation,"Comparative Study of Coarse Head Pose Estimation
+Lisa M. Brown and Ying-Li Tian
+IBM T.J. Watson Research Center
+Hawthorne, NY 10532"

+cfbb2d32586b58f5681e459afd236380acd86e28,Improving alignment of faces for recognition,"Improving Alignment of Faces for Recognition
+Md. Kamrul Hasan
+Christopher J. Pal
+D´epartement de g´enie informatique et g´enie logiciel
+´Ecole Polytechnique de Montr´eal,
+D´epartement de g´enie informatique et g´enie logiciel
+´Ecole Polytechnique de Montr´eal,
+Qu´ebec, Canada
+Qu´ebec, Canada"

+cfa92e17809e8d20ebc73b4e531a1b106d02b38c,Parametric classification with soft labels using the evidential EM algorithm: linear discriminant analysis versus logistic regression,"Advances in Data Analysis and Classification manuscript No.
+(will be inserted by the editor)
+Parametric Classification with Soft Labels using the
+Evidential EM Algorithm
+Linear Discriminant Analysis vs. Logistic Regression
+Benjamin Quost · Thierry Denœux ·
+Shoumei Li
+Received: date / Accepted: date"

+cf5a0115d3f4dcf95bea4d549ec2b6bdd7c69150,Detection of emotions from video in non-controlled environment. (Détection des émotions à partir de vidéos dans un environnement non contrôlé),"Detection of emotions from video in non-controlled
+environment
+Rizwan Ahmed Khan
+To cite this version:
+Rizwan Ahmed Khan. Detection of emotions from video in non-controlled environment. Image
+Processing. Universit´e Claude Bernard - Lyon I, 2013. English. <NNT : 2013LYO10227>.
+<tel-01166539v2>
+HAL Id: tel-01166539
+https://tel.archives-ouvertes.fr/tel-01166539v2
+Submitted on 23 Jun 2015
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+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"

+cffc94574c8796cbd8234422a979e57e67eca7b5,Multiracial Children's and Adults' Categorizations of Multiracial Individuals.,"Journal of Cognition and Development
+ISSN: 1524-8372 (Print) 1532-7647 (Online) Journal homepage: http://www.tandfonline.com/loi/hjcd20
+Multiracial Children’s and Adults’ Categorizations
+of Multiracial Individuals
+Steven O. Roberts & Susan A. Gelman
+To cite this article: Steven O. Roberts & Susan A. Gelman (2017) Multiracial Children’s and
+Adults’ Categorizations of Multiracial Individuals, Journal of Cognition and Development, 18:1,
+-15, DOI: 10.1080/15248372.2015.1086772
+To link to this article:  http://dx.doi.org/10.1080/15248372.2015.1086772
+Accepted author version posted online: 23
+Feb 2016.
+Published online: 23 Feb 2016.
+Submit your article to this journal
+Article views: 75
+View related articles
+View Crossmark data
+Citing articles: 2 View citing articles
+Full Terms & Conditions of access and use can be found at
+http://www.tandfonline.com/action/journalInformation?journalCode=hjcd20
+Download by: [University of Michigan]"

+cf009a6b02fbef514a4bac9695a928080ceac764,COLUMBUS: Feature Selection on Data Analytics Systems,"COLUMBUS: Feature Selection on Data Analytics Systems
+Arun Kumar
+Pradap Konda
+Christopher R´e
+February 28, 2013"

+cf7e6d057e6ef01904770be3dfc9da29f9c1e197,An Adaptive Detection Method of Multiple Faces,"TELKOMNIKA Indonesian Journal of Electrical Engineering
+Vol.12, No.4, April 2014, pp. 2743 ~ 2752
+DOI: http://dx.doi.org/10.11591/telkomnika.v12i4.4368
+An Adaptive Detection Method of Multiple Faces
+      2743
+China West Normal University, No. 1 Shida Road, Computer School, Nanchong, China
+*Corresponding author, e-mail:
+Wei Li"

+cf7b4fa0a8b58473b94496f353f3c8d0f9531b71,Recognition of 3 D Frontal Face Images Using Local Ternary Patterns and MLDA Algorithm,"International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Impact Factor (2012): 3.358
+Recognition of 3D Frontal Face Images Using Local
+Ternary Patterns and MLDA Algorithm
+Dr. T. Karthikeyan1, T. K. Sumathi2
+Associate Professor, PSG College of Arts & Science, Coimbatore
+Research Scholar, Karpagam University, Coimbatore
+identification"

+cfc9056155bf32648448b588a752f694b4e8249c,Combining Contrast Information and Local Binary Patterns for Gender Classification,"Combining Contrast Information and Local
+Binary Patterns for Gender Classification
+Juha Ylioinas, Abdenour Hadid, and Matti Pietik¨ainen
+Machine Vision Group, PO Box 4500,
+FI-90014 University of Oulu, Finland"

+cfdc632adcb799dba14af6a8339ca761725abf0a,Probabilistic Formulations of Regression with Mixed Guidance,"Probabilistic Formulations of Regression with Mixed
+Guidance
+Aubrey Gress, Ian Davidson University of California, Davis"

+cfbfcf538c1c9bbf170a524995098fe4aacde374,Symmetric generalized low rank approximations of matrices,"978-1-4673-0046-9/12/$26.00 ©2012 IEEE
+ICASSP 2012"

+cfc30ce53bfc204b8764ebb764a029a8d0ad01f4,Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization,"Regularizing Deep Neural Networks by Noise:
+Its Interpretation and Optimization
+Hyeonwoo Noh
+Tackgeun You
+Dept. of Computer Science and Engineering, POSTECH, Korea
+Jonghwan Mun
+Bohyung Han"

+cf6527d8d42a9958eea7d8d1f90ea4c86d591408,Convolutional Neural Network-Based Classification of Driver’s Emotion during Aggressive and Smooth Driving Using Multi-Modal Camera Sensors,"Article
+Convolutional Neural Network-Based Classification
+of Driver’s Emotion during Aggressive and Smooth
+Driving Using Multi-Modal Camera Sensors
+Kwan Woo Lee, Hyo Sik Yoon, Jong Min Song and Kang Ryoung Park *
+Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu,
+Seoul 100-715, Korea; (K.W.L.); (H.S.Y.);
+(J.M.S.)
+* Correspondence: Tel.: +82-10-3111-7022; Fax: +82-2-2277-8735
+Received: 20 February 2018; Accepted: 21 March 2018; Published: 23 March 2018"

+cf74dceae075bde213d2aafad115d2afc893c21b,Master's Thesis : Deep Learning for Visual Recognition,"Master’s Thesis
+Deep Learning for Visual Recognition
+Supervised by Nicolas Thome and Matthieu Cord
+Remi Cadene
+Wednesday 7th September, 2016"

+cf805d478aeb53520c0ab4fcdc9307d093c21e52,Finding Tiny Faces in the Wild with Generative Adversarial Network,"Finding Tiny Faces in the Wild with Generative Adversarial Network
+Yancheng Bai1
+Yongqiang Zhang1
+Mingli Ding2
+Bernard Ghanem1
+Visual Computing Center, King Abdullah University of Science and Technology (KAUST)
+School of Electrical Engineering and Automation, Harbin Institute of Technology (HIT)
+Institute of Software, Chinese Academy of Sciences (CAS)
+{zhangyongqiang,
+Figure1. The detection results of tiny faces in the wild. (a) is the original low-resolution blurry face, (b) is the result of
+re-sizing directly by a bi-linear kernel, (c) is the generated image by the super-resolution method, and our result (d) is learned
+y the super-resolution (×4 upscaling) and refinement network simultaneously. Best viewed in color and zoomed in."

+cf103f2fe5595a55f918ecbd9119800f4747fc8e,Human recognition based on ear shape images using PCA-Wavelets and different classification methods,"Human recognition based on ear shape images using
+PCA-Wavelets and different classification methods
+Ali Mahmoud Mayya1* and Mariam Mohammad Saii
+PhD student, Computer Engineering, Tishreen University, Syria"

+cf86616b5a35d5ee777585196736dfafbb9853b5,Learning Multiscale Active Facial Patches for Expression Analysis,"This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.
+Learning Multiscale Active Facial Patches for
+Expression Analysis
+Lin Zhong, Qingshan Liu, Peng Yang, Junzhou Huang, and Dimitris N. Metaxas, Senior Member, IEEE"

+cabe652bb3b150f35db9db1434cec69f081c4a60,Towards Scene Understanding: Deep and Layered Recognition and Heuristic Parsing of Objects,"Towards Scene Understanding: Deep and Layered Recognition
+nd Heuristic Parsing of Objects
+Dissertation Submitted to
+Xi’an Jiaotong University
+In partial fulfillment of the requirement
+for the degree of
+Doctor of Engineering Science
+Yang Wu
+(Control Science and Engineering)
+Supervisor: Prof. Nanning Zheng
+May 2010"

+cacd51221c592012bf2d9e4894178c1c1fa307ca,Face and Expression Recognition Techniques: A Review,"ISSN: 2277-3754
+ISO 9001:2008 Certified
+International Journal of Engineering and Innovative Technology (IJEIT)
+Volume 4, Issue 11, May 2015
+Face and Expression Recognition Techniques: A
+Review
+Advanced Communication & Signal Processing Laboratory, Department of Electronics & Communication
+engineering, Government College of Engineering Kannur, Kerala, India.
+Rishin C. K, Aswani Pookkudi, A. Ranjith Ram"

+ca0363d29e790f80f924cedaf93cb42308365b3d,Facial Expression Recognition in Image Sequences Using Geometric Deformation Features and Support Vector Machines,"Facial Expression Recognition in Image Sequences
+using Geometric Deformation Features and Support
+Vector Machines
+Irene Kotsiay and Ioannis Pitasy,Senior Member IEEE
+yAristotle University of Thessaloniki
+Department of Informatics
+Box 451
+54124 Thessaloniki, Greece
+email:"

+cae87d5a724507e06f6d8178cfbec043db854fe3,Bayesian Nonparametric Latent Feature Models,"Bayesian Nonparametric Latent Feature Models
+Kurt Miller
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2011-78
+http://www.eecs.berkeley.edu/Pubs/TechRpts/2011/EECS-2011-78.html
+June 28, 2011"

+cac3bf3ceba79e6a6c8e51eb44c6862b81661f85,Learning Data-Driven Representations for Robust Monocular Computer Vision Applications,"Learning Data-Driven Representations for
+Robust Monocular Computer Vision
+Applications
+Dissertation
+der Mathematisch-Naturwissenschaftlichen Fakultät
+der Eberhard Karls Universität Tübingen
+zur Erlangung des Grades eines
+Doktors der Naturwissenschaften
+(Dr. rer.-nat.)
+Dipl.-math. Christian Joachim Herdtweck
+vorgelegt von
+us Stuttgart
+Tübingen"

+cad52d74c1a21043f851ae14c924ac689e197d1f,From Ego to Nos-Vision: Detecting Social Relationships in First-Person Views,"From Ego to Nos-vision:
+Detecting Social Relationships in First-Person Views
+Stefano Alletto, Giuseppe Serra, Simone Calderara, Francesco Solera and Rita Cucchiara
+Universit`a degli Studi di Modena e Reggio Emilia
+Via Vignolese 905, 41125 Modena - Italy"

+ca6b2b75db9ff8444744df9149601a4ef2beefd4,MirBot: A Multimodal Interactive Image Retrieval System,"MirBot: A multimodal interactive
+image retrieval system
+Antonio Pertusa, Antonio-Javier Gallego, and Marisa Bernabeu
+DLSI, University of Alicante
+http://www.dlsi.ua.es"

+cad24ba99c7b6834faf6f5be820dd65f1a755b29,"Understanding hand-object manipulation by modeling the contextual relationship between actions, grasp types and object attributes","Understanding hand-object
+manipulation by modeling the
+ontextual relationship between actions,
+grasp types and object attributes
+Minjie Cai1, Kris M. Kitani2 and Yoichi Sato1
+Journal Title
+XX(X):1–14
+(cid:13)The Author(s) 2016
+Reprints and permission:
+sagepub.co.uk/journalsPermissions.nav
+DOI: 10.1177/ToBeAssigned
+www.sagepub.com/"

+cadba72aa3e95d6dcf0acac828401ddda7ed8924,Algorithms and VLSI Architectures for Low-Power Mobile Face Verification,"THÈSE PRÉSENTÉE À LA FACULTÉ DES SCIENCES
+POUR L’OBTENTION DU GRADE DE DOCTEUR ÈS SCIENCES
+Algorithms and VLSI Architectures
+for Low-Power Mobile Face Verification
+Jean-Luc Nagel
+Acceptée sur proposition du jury:
+Prof. F. Pellandini, directeur de thèse
+PD Dr. M. Ansorge, co-directeur de thèse
+Prof. P.-A. Farine, rapporteur
+Dr. C. Piguet, rapporteur
+Soutenue le 2 juin 2005
+INSTITUT DE MICROTECHNIQUE
+UNIVERSITÉ DE NEUCHÂTEL"

+ca1db9dc493a045e3fadf8d8209eaa4311bbdc70,Effective Image Retrieval via Multilinear Multi-index Fusion,"JOURNAL OF LATEX CLASS FILES, VOL. XX, NO. X, JUNE 2017
+Effective Image Retrieval via Multilinear
+Multi-index Fusion
+Zhizhong Zhang, Yuan Xie, Member, IEEE, Wensheng Zhang, Qi Tian, Fellow, IEEE,"

+cab372bc3824780cce20d9dd1c22d4df39ed081a,"DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs","DeepLab: Semantic Image Segmentation with
+Deep Convolutional Nets, Atrous Convolution,
+nd Fully Connected CRFs
+Liang-Chieh Chen, George Papandreou, Senior Member, IEEE, Iasonas Kokkinos, Member, IEEE,
+Kevin Murphy, and Alan L. Yuille, Fellow, IEEE"

+ca37eda56b9ee53610c66951ee7ca66a35d0a846,Semantic Concept Discovery for Large-Scale Zero-Shot Event Detection,"Semantic Concept Discovery for Large-Scale Zero-Shot Event Detection
+Xiaojun Chang1,2, Yi Yang1, Alexander G. Hauptmann2, Eric P. Xing3 and Yao-Liang Yu3∗
+Centre for Quantum Computation and Intelligent Systems, University of Technology Sydney.
+Language Technologies Institute, Carnegie Mellon University.
+Machine Learning Department, Carnegie Mellon University.
+{cxj273, {alex, epxing,"

+ca400e0c7a739ce5555b2e3eccccbcea65e71b11,Neural Mechanisms of Emotion Regulation in Autism Spectrum Disorder.,"J Autism Dev Disord
+DOI 10.1007/s10803-015-2359-z
+S I : E M O T I O N R E G U L A T I O N A N D P S Y C H I A T R I C C O M O R B I D I T Y I N A S D
+Neural Mechanisms of Emotion Regulation in Autism Spectrum
+Disorder
+J. Anthony Richey • Cara R. Damiano • Antoinette Sabatino • Alison Rittenberg •
+Chris Petty • Josh Bizzell • James Voyvodic • Aaron S. Heller • Marika C. Coffman •
+Moria Smoski • Richard J. Davidson • Gabriel S. Dichter
+Ó Springer Science+Business Media New York 2015
+ccount of"

+ca8b529e389381c8b51ddf83788b7a3eafb8f859,Efficient CNN Implementation for Eye-Gaze Estimation on Low-Power/Low-Quality Consumer Imaging Systems,"Efficient CNN Implementation for Eye-Gaze
+Estimation on Low-Power/Low-Quality Consumer
+Imaging Systems
+Joseph Lemley, Student Member, IEEE, Anuradha Kar, Student Member, IEEE, Alexandru
+Drimbarean, Member, IEEE, and Peter Corcoran, Fellow, IEEE"

+ca754b826476b3e4083a0a6fbac3ac39b494fd43,Supporting data-driven I/O on GPUs using GPUfs,"Supporting data-driven I/O on GPUs using GPUfs
+Sagi Shahar
+Mark Silberstein
+Technion - Israel Institute of Technology
+Technion - Israel Institute of Technology
+Computations on large data sets necessarily involve file
+ccesses, but current GPUs cannot access a host file system
+directly because they lack file system access support. There-
+fore, an application developer needs to coordinate GPU ac-
+esses to secondary storage via explicit application-level
+management code running on a CPU. This code performs
+file accesses on GPU’s behalf and manages low level data
+transfers to/from GPU memory. Furthermore, all the data
+that a GPU may need must be resident in the GPU mem-
+ory prior to computations, and it is the responsibility of a
+GPU developer to ensure that this is the case. As a result, all
+the potential GPU accesses to data must be known before the
+GPU execution starts. This requirement impedes the use of
+GPUs to run data processing algorithms with irregular data
+ccess pattern on large datasets."

+ca581cd5bd0cecf346f2bc47f4b67bfee31b9da1,"Providing Fairness in Heterogeneous Multicores with a Predictive, Adaptive Scheduler","Providing Fairness in Heterogeneous Multicores with a Predictive, Adaptive
+Scheduler
+Saeid Barati
+University of Chicago
+Henry Hoffmann
+University of Chicago"

+ca606186715e84d270fc9052af8500fe23befbda,"Using subclass discriminant analysis, fuzzy integral and symlet decomposition for face recognition","Using Subclass Discriminant Analysis, Fuzzy Integral and Symlet Decomposition for
+Face Recognition
+Seyed Mohammad Seyedzade
+Department of Electrical Engineering,
+Iran Univ. of Science and Technology,
+Narmak, Tehran, Iran
+Email:
+Sattar Mirzakuchaki
+Amir Tahmasbi
+Department of Electrical Engineering,
+Iran Univ. of Science and Technology,
+Department of Electrical Engineering,
+Iran Univ. of Science and Technology,
+Narmak, Tehran, Iran
+Email:
+Narmak, Tehran, Iran
+Email:"

+ca494a2f20c267210a677ed9c509c4570f420fdf,Learning to Globally Edit Images with Textual Description,"Learning to Globally Edit Images
+with Textual Description
+Hai Wang † Jason D. Williams ‡ Sing Bing Kang §"

+cad7845e9668884caf4842b14983ec0e45bbbc75,Urban Tracker: Multiple object tracking in urban mixed traffic,"Urban Tracker: Multiple Object Tracking in Urban Mixed Traffic
+Jean-Philippe Jodoin, Guillaume-Alexandre Bilodeau
+LITIV lab., Dept. of computer & software eng.
+´Ecole Polytechnique de Montr´eal
+Montr´eal, QC, Canada
+Nicolas Saunier
+Dept. of civil, geo. and mining eng.
+´Ecole Polytechnique de Montr´eal
+Montr´eal, QC, Canada"

+e4896772d51a66b743e0d072d53cf26f6b61fc75,Automated Identification of Trampoline Skills Using Computer Vision Extracted Pose Estimation,"Automated Identification of Trampoline Skills
+Using Computer Vision Extracted Pose Estimation
+Paul W. Connolly, Guenole C. Silvestre and Chris J. Bleakley
+School of Computer Science, University College Dublin, Belfield, Dublin 4, Ireland."

+e4bf70e818e507b54f7d94856fecc42cc9e0f73d,Face Recognition under Varying Blur in an Unconstrained Environment,"IJRET: International Journal of Research in Engineering and Technology        eISSN: 2319-1163 | pISSN: 2321-7308
+FACE RECOGNITION UNDER VARYING BLUR IN AN
+UNCONSTRAINED ENVIRONMENT
+Anubha Pearline.S1, Hemalatha.M2
+M.Tech, Information Technology,Madras Institute of Technology, TamilNadu,India,
+Assistant Professor, Information Technology,Madras Institute of Technology, TamilNadu,India, email:,"

+e4485930357db8248543eb78ce3bc9f32050694e,Drawn to danger: trait anger predicts automatic approach behaviour to angry faces.,"Cognition and Emotion
+ISSN: 0269-9931 (Print) 1464-0600 (Online) Journal homepage: http://www.tandfonline.com/loi/pcem20
+Drawn to danger: trait anger predicts automatic
+pproach behaviour to angry faces
+Lotte Veenstra, Iris K. Schneider, Brad J. Bushman & Sander L. Koole
+To cite this article: Lotte Veenstra, Iris K. Schneider, Brad J. Bushman & Sander L. Koole (2016):
+Drawn to danger: trait anger predicts automatic approach behaviour to angry faces, Cognition
+nd Emotion, DOI: 10.1080/02699931.2016.1150256
+To link to this article:  http://dx.doi.org/10.1080/02699931.2016.1150256
+Published online: 19 Feb 2016.
+Submit your article to this journal
+Article views: 39
+View related articles
+View Crossmark data
+Full Terms & Conditions of access and use can be found at
+http://www.tandfonline.com/action/journalInformation?journalCode=pcem20
+Download by: [Vrije Universiteit Amsterdam]
+Date: 04 April 2016, At: 13:19"

+e4d2cc8fe567e8e1f2e0c5eb751ff9e9361346c0,ALTERED BRAIN ACTIVITY IN AUTISTIC CHILDREN VERSUS HEALTHY CONTROLS WHILE PERFORMING SIMPLE TASKS USING fMRI,"Copyright Warning & Restrictions
+The copyright law of the United States (Title 17, United
+States Code) governs the making of photocopies or other
+reproductions of copyrighted material.
+Under certain conditions specified in the law, libraries and
+rchives are authorized to furnish a photocopy or other
+reproduction. One of these specified conditions is that the
+photocopy or reproduction is not to be “used for any
+purpose other than private study, scholarship, or research.”
+If a, user makes a request for, or later uses, a photocopy or
+reproduction for purposes in excess of “fair use” that user
+may be liable for copyright infringement,
+This institution reserves the right to refuse to accept a
+opying order if, in its judgment, fulfillment of the order
+would involve violation of copyright law.
+Please Note: The author retains the copyright while the
+New Jersey Institute of Technology reserves the right to
+distribute this thesis or dissertation
+Printing note: If you do not wish to print this page, then select
+“Pages from: first page # to: last page #” on the print dialog screen"

+e4d33362b4f99ab77fd6ceaafa183c087c79faea,Design and implementation of a high performance pedestrian detection,"June 23-26, 2013, Gold Coast, Australia
+978-1-4673-2754-1/13/$31.00 ©2013 Crown"

+e4a05b1a478a2aeb6c0b1a4a42f8bdb4f97122f6,Quality Fusion Rule for Face Recognition in Video,"Quality Fusion Rule for Face Recognition in Video
+Chao Wang, Yongping Li, and Xinyu Ao
+The center for Advanced Detection and Instrumentation, Shanghai Institute of Applied Physics,
+Chinese Academy of Science, 201800 Shanghai, China"

+e4501da190012623d5048d57b7e650de27643b8d,Learning Actionlet Ensemble for 3D Human Action Recognition,"Chapter 2
+Learning Actionlet Ensemble for 3D Human
+Action Recognition"

+e4a1b46b5c639d433d21b34b788df8d81b518729,Side Information for Face Completion: a Robust PCA Approach,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Side Information for Face Completion: a Robust
+PCA Approach
+Niannan Xue, Student Member, IEEE, Jiankang Deng, Student Member,IEEE,
+Shiyang Cheng, Student Member,IEEE, Yannis Panagakis, Member,IEEE,
+nd Stefanos Zafeiriou, Member, IEEE"

+e4c81c56966a763e021938be392718686ba9135e,Bio-Inspired Architecture for Clustering into Natural and Non-Natural Facial Expressions,",100+OPEN ACCESS BOOKS103,000+INTERNATIONALAUTHORS AND EDITORS106+ MILLIONDOWNLOADSBOOKSDELIVERED TO151 COUNTRIESAUTHORS AMONGTOP 1%MOST CITED SCIENTIST12.2%AUTHORS AND EDITORSFROM TOP 500 UNIVERSITIESSelection of our books indexed in theBook Citation Index in Web of Science™Core Collection (BKCI)Chapter from the book Visual Cortex - Current Status and PerspectivesDownloaded from: http://www.intechopen.com/books/visual-cortex-current-status-and-perspectivesPUBLISHED BYWorld's largest Science,Technology & Medicine Open Access book publisherInterested in publishing with InTechOpen?Contact us at"

+e4d08ef1b4350c7e03bdfb716200370c2ea87a6a,A novel approach for face recognition using fused GMDH-based networks,"The International Arab Journal of Information Technology, Vol. 15, No. 3, May 2018                                                            369
+A Novel Approach for Face Recognition Using
+Fused GMDH-Based Networks
+El-Sayed El-Alfy1, Zubair Baig2, and Radwan Abdel-Aal1
+College of Computer Sciences and Engineering, King Fahd University of Petroleum and Minerals, KSA
+School of Science and Security Research Institute, Edith Cowan University, Australia"

+e4e95b8bca585a15f13ef1ab4f48a884cd6ecfcc,Face Recognition with Independent Component Based Super-resolution,"Face Recognition with Independent Component Based
+Super-resolution
+Osman Gokhan Sezer†,a, Yucel Altunbasakb, Aytul Ercila
+Faculty of Engineering and Natural Sciences, Sabanci Univ., Istanbul, Turkiye, 34956
+School of Elec. and Comp. Eng. , Georgia Inst. of Tech., Atlanta, GA, USA, 30332-0250"

+e4cbe39daed8700a1d6f4a25a3a98645c4f231d0,A nonconvex formulation for low rank subspace clustering: algorithms and convergence analysis,"Comput Optim Appl (2018) 70:395–418
+https://doi.org/10.1007/s10589-018-0002-6
+A nonconvex formulation for low rank subspace
+lustering: algorithms and convergence analysis
+Hao Jiang1 · Daniel P. Robinson1
+René Vidal1 · Chong You1
+Received: 14 July 2017 / Published online: 27 March 2018
+© Springer Science+Business Media, LLC, part of Springer Nature 2018"

+e46732f0c818b059420f68162363c9d1a9dc5395,Geometric and Physical Constraints for Head Plane Crowd Density Estimation in Videos,"Geometric and Physical Constraints for
+Head Plane Crowd Density Estimation in Videos
+Weizhe Liu(cid:63) Krzysztof Lis Mathieu Salzmann
+Pascal Fua
+Computer Vision Laboratory, ´Ecole Polytechnique F´ed´erale de Lausanne
+{weizhe.liu, krzysztof.lis, mathieu.salzmann,
+(EPFL)"

+e42e7735f94a8f498ef0bf790ab43a668f904848,Low-Latency Detec on and Tracking of Aircra in Very High-Resolu on Video Feeds,"Linköping University | Department of Computer and Information Science
+Master thesis, 30 ECTS | Datateknik
+018 | LIU-IDA/LITH-EX-A--18/022--SE
+Low-Latency Detec(cid:415)on and
+Tracking of Aircra(cid:332) in Very
+High-Resolu(cid:415)on Video Feeds
+Låglatent detek(cid:415)on och spårning av flygplan i högupplösta
+videokällor
+Jarle Mathiesen
+Supervisor : Magnus Bång
+Examiner : Erik Berglund
+Linköpings universitet
+SE–581 83 Linköping
++46 13 28 10 00 , www.liu.se"

+e43ea078749d1f9b8254e0c3df4c51ba2f4eebd5,Facial Expression Recognition Based on Constrained Local Models and Support Vector Machines,"Facial Expression Recognition Based on Constrained
+Local Models and Support Vector Machines
+Nikolay Neshov1, Ivo Draganov2, Agata Manolova3"

+e45bcda905b897513f4cff9e5c0a5bf475674a02,"Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation","Domain Stylization: A Strong, Simple Baseline for
+Synthetic to Real Image Domain Adaptation
+Aysegul Dundar, Ming-Yu Liu, Ting-Chun Wang, John Zedlewski, Jan Kautz
+NVIDIA"

+e48fa574960b23ba65b7ff1a732cc521213b5120,Mining Automatically Estimated Poses from Video Recordings of Top Athletes,"Mining Automatically Estimated Poses from Video Recordings
+of Top Athletes
+Rainer Lienhart∗
+University of Augsburg
+uni-augsburg.de
+Moritz Einfalt
+University of Augsburg
+uni-augsburg.de
+Dan Zecha
+University of Augsburg"

+e4c2f8e4aace8cb851cb74478a63d9111ca550ae,Distributed One-class Learning,"DISTRIBUTED ONE-CLASS LEARNING
+Ali Shahin Shamsabadi(cid:63), Hamed Haddadi†, Andrea Cavallaro(cid:63)
+(cid:63)Queen Mary University of London,†Imperial College London"

+e41e1e4d9e578c29bf648e7098c466935b50f1a9,A Generative Model for Simultaneous Estimation of Human Body Shape and Pixel-Level Segmentation,"A Generative Model for Simultaneous
+Estimation of Human Body Shape and
+Pixel-level Segmentation
+Ingmar Rauschert and Robert T. Collins
+Pennsylvania State University,
+University Park, 16802 PA, USA"

+e443cb55dcc54de848e9f0c11a6194568a875011,From passive to interactive object learning and recognition through self-identification on a humanoid robot,"From passive to interactive object learning and
+recognition through self-identification on a humanoid
+robot
+Natalia Lyubova, Serena Ivaldi, David Filliat
+To cite this version:
+Natalia Lyubova, Serena Ivaldi, David Filliat. From passive to interactive object learning and
+recognition through self-identification on a humanoid robot. Autonomous Robots, Springer
+Verlag, 2015, pp.23. .
+HAL Id: hal-01166110
+https://hal.archives-ouvertes.fr/hal-01166110
+Submitted on 22 Jun 2015
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destin´ee au d´epˆot et `a la diffusion de documents
+scientifiques de niveau recherche, publi´es ou non,"

+e44d8409bb5233bd1822555bf85095a80e27fd49,Spatio-temporal interaction model for crowd video analysis,"Spatio-temporal interaction model for crowd video analysis
+Indian Institute of Technology Bombay
+Indian Institute of Technology Bombay
+Neha Bhargava
+India
+Subhasis Chaudhuri
+India"

+e40007540c4813c81bc8b54dda4dd6f6c21deaa8,3d Face Recognition Using Patch Geodesic Derivative Pattern,"International Journal of  Smart Electrical Engineering, Vol.2, No.3, Summer 2013                   ISSN:  2251-9246
+pp.127:132
+D Face Recognition using Patch Geodesic Derivative Pattern"

+e475e857b2f5574eb626e7e01be47b416deff268,Facial Emotion Recognition Using Nonparametric Weighted Feature Extraction and Fuzzy Classifier,"Facial Emotion Recognition Using Nonparametric
+Weighted Feature Extraction and Fuzzy Classifier
+Maryam Imani and Gholam Ali Montazer"

+e4391993f5270bdbc621b8d01702f626fba36fc2,Head Pose Estimation Using Multi-scale Gaussian Derivatives,"Author manuscript, published in ""18th Scandinavian Conference on Image Analysis (2013)""
+DOI : 10.1007/978-3-642-38886-6_31"

+e4d8ba577cabcb67b4e9e1260573aea708574886,Um Sistema De Recomendaç˜ao Inteligente Baseado Em V ´ Idio Aulas Para Educaç˜ao a Distˆancia an Intelligent Recommendation System Based on Video Lectures for Distance Education (revelation),"UM SISTEMA DE RECOMENDAC¸ ˜AO INTELIGENTE BASEADO EM V´IDIO
+AULAS PARA EDUCAC¸ ˜AO A DIST ˆANCIA
+Gaspare Giuliano Elias Bruno
+Tese de Doutorado apresentada ao Programa
+de P´os-gradua¸c˜ao em Engenharia de Sistemas e
+Computa¸c˜ao, COPPE, da Universidade Federal
+do Rio de Janeiro, como parte dos requisitos
+necess´arios `a obten¸c˜ao do t´ıtulo de Doutor em
+Engenharia de Sistemas e Computa¸c˜ao.
+Orientadores: Edmundo Albuquerque de
+Souza e Silva
+Rosa Maria Meri Le˜ao
+Rio de Janeiro
+Janeiro de 2016"

+e467f7e2434ca74bdd4b19808a6b3d78b8c5ba1a,Feature Construction Using Evolution-COnstructed Features for General Object Recognition,"Feature Construction Using Evolution-COnstructed Features
+for General Object Recognition
+Kirt Dwayne Lillywhite
+A dissertation submitted to the faculty of
+Brigham Young University
+in partial fulfillment of the requirements for the degree of
+Doctor of Philosophy
+Dah-Jye Lee, Chair
+James K Archibald
+Bryan S. Morse
+Dan A. Ventura
+Brent E. Nelson
+Department of Electrical and Computer Engineering
+Brigham Young University
+April 2012
+Copyright c(cid:13) 2012 Kirt Dwayne Lillywhite
+All Rights Reserved"

+e4d90019c312ed87a236a11374caeea9cc4e6940,Comparison Comparison PCA Train GMM Feature Reduction Classify GMM Threshold,"COVER SHEET
+Cook, Jamie and Chandran, Vinod and Sridharan, Sridha and Fookes, Clinton (2004) Face
+Recognition from 3D Data using Iterative Closest Point Algorithm and Gaussian Mixture Models.
+In Proceedings 3D Data Processing, Visualisation and Transmission, Thessaloniki, Greece.
+Accessed from  http://eprints.qut.edu.au
+Copyright 2004 the authors."

+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”
+University of Modena and Reggio Emilia, Italy
+Keywords:
+Head Detection, Head Localization, Depth Maps, Convolutional Neural Network"

+e4d0e87d0bd6ead4ccd39fc5b6c62287560bac5b,Implicit video multi-emotion tagging by exploiting multi-expression relations,"Implicit Video Multi-Emotion Tagging by Exploiting Multi-Expression
+Relations
+Zhilei Liu, Shangfei Wang*, Zhaoyu Wang and Qiang Ji"

+e48432872be1e0449f50c6807b274d57c87a641f,Human Body Extraction from Single Images Using Images Processing Techniques,"Human Body Extraction from Single Images Using Images
+Processing Techniques
+T.Ravichandra Babu
+Associate Professor & HOD,
+Department of ECE,
+Katravath Rajendhar
+PG Scholar-SSP,
+Department of ECE,
+Krishnamurthy Institute of Technology and
+Krishnamurthy Institute of Technology and
+Engineering.
+Engineering.
+that  can
+images
+to  cope  with"

+e48e94959c4ce799fc61f3f4aa8a209c00be8d7f,Design of an Efficient Real-Time Algorithm Using Reduced Feature Dimension for Recognition of Speed Limit Signs,"Hindawi Publishing Corporation
+The Scientific World Journal
+Volume 2013, Article ID 135614, 6 pages
+http://dx.doi.org/10.1155/2013/135614
+Research Article
+Design of an Efficient Real-Time Algorithm Using Reduced
+Feature Dimension for Recognition of Speed Limit Signs
+Hanmin Cho,1 Seungwha Han,2 and Sun-Young Hwang1
+Department of Electronic Engineering, Sogang University, Seoul 121-742, Republic of Korea
+Samsung Techwin R&D Center, Security Solution Division, 701 Sampyeong-dong, Bundang-gu, Seongnam-si,
+Gyeonggi 463-400, Republic of Korea
+Correspondence should be addressed to Sun-Young Hwang;
+Received 28 August 2013; Accepted 1 October 2013
+Academic Editors: P. Daponte, M. Nappi, and N. Nishchal
+Copyright © 2013 Hanmin Cho 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.
+We propose a real-time algorithm for recognition of speed limit signs from a moving vehicle. Linear Discriminant Analysis (LDA)
+required for classification is performed by using Discrete Cosine Transform (DCT) coefficients. To reduce feature dimension in
+LDA, DCT coefficients are selected by a devised discriminant function derived from information obtained by training. Binarization
+nd thinning are performed on a Region of Interest (ROI) obtained by preprocessing a detected ROI prior to DCT for further"

+e496d6be415038de1636bbe8202cac9c1cea9dbe,Facial Expression Recognition in Older Adults using Deep Machine Learning,"Facial Expression Recognition in Older Adults using
+Deep Machine Learning
+Andrea Caroppo, Alessandro Leone and Pietro Siciliano
+National Research Council of Italy, Institute for Microelectronics and Microsystems, Lecce,
+Italy"

+e43cc682453cf3874785584fca813665878adaa7,Face Recognition using Local Derivative Pattern Face Descriptor,"www.ijecs.in
+International Journal Of Engineering And Computer Science ISSN:2319-7242
+Volume 3 Issue 10 October, 2014 Page No.8830-8834
+Face Recognition using Local Derivative Pattern Face
+Descriptor
+Pranita R. Chavan1,  Dr. Dnyandeo J. Pete2
+Department of Electronics and Telecommunication
+Datta Meghe College of Engineering
+Airoli, Navi Mumbai, India 1,2
+Mob: 99206746061
+Mob: 99870353142"

+fec6648b4154fc7e0892c74f98898f0b51036dfe,"A Generic Face Processing Framework: Technologies, Analyses and Applications","A Generic Face Processing
+Framework: Technologies,
+Analyses and Applications
+JANG Kim-fung
+A Thesis Submitted in Partial Ful(cid:12)lment
+of the Requirements for the Degree of
+Master of Philosophy
+Computer Science and Engineering
+Supervised by
+Prof. Michael R. Lyu
+(cid:13)The Chinese University of Hong Kong
+July 2003
+The Chinese University of Hong Kong holds the copyright of this thesis. Any
+person(s) intending to use a part or whole of the materials in the thesis in
+proposed publication must seek copyright release from the Dean of the
+Graduate School."

+fea0a5ed1bc83dd1b545a5d75db2e37a69489ac9,Enhancing Recommender Systems for TV by Face Recognition,"Enhancing Recommender Systems for TV by Face Recognition
+Toon De Pessemier, Damien Verlee and Luc Martens
+iMinds - Ghent University, Technologiepark 15, B-9052 Ghent, Belgium
+{toon.depessemier,
+Keywords:
+Recommender System, Face Recognition, Face Detection, TV, Emotion Detection."

+fecce467b42856eadb8dd0c08674d9381f52efab,The Role of Shape in Visual Recognition,"The Role of Shape in Visual Recognition
+Bj¨orn Ommer"

+fe4986bbb10f3417372a02fed1218acb5162ddec,Classification model of arousal and valence mental states by EEG signals analysis and Brodmann correlations,"(IJACSA) International Journal of Advanced Computer Science and Applications,
+Vol. 6, No. 6, 2015
+Classification model of arousal and valence mental
+states by EEG signals analysis and Brodmann
+orrelations
+Adrian  Rodriguez  Aguin˜aga  and  Miguel  Angel  Lo´pez  Ram´ırez
+Instituto  Tecnolo´gico  de  Tijuana
+Calzada  del  Tecnolo´gico  S/N,  Toma´s  Aquino,  22414
+Tijuana,  B.C.  Me´xico
+Mar´ıa  del  Rosario  Baltazar  Flores
+Instituto  Tecnolo´gico  de  Leo´n
+Av.  Tecnolo´gico  S/N
+Industrial  Julia´n  de  Obrego´n,  37290
+Leo´n,  Gto.  Me´xico"

+fe9c460d5ca625402aa4d6dd308d15a40e1010fa,Neural Architecture for Temporal Emotion Classification,"Neural Architecture for Temporal Emotion
+Classification
+Roland Schweiger, Pierre Bayerl, and Heiko Neumann
+Universit¨at Ulm, Neuroinformatik, Germany"

+fec9fb202906e6f136ae92c3a3540b2a84257c4e,Automatic Facial Feature Detection for Facial Expression Recognition,"AUTOMATIC FACIAL FEATURE DETECTION FOR FACIAL
+EXPRESSION RECOGNITION
+Taner Danisman, Marius Bilasco, Nacim Ihaddadene and Chabane Djeraba
+LIFL - UMR CNRS 8022, University of Science and Technology of Lille, Villeneuve d'Ascq, France
+Keywords:
+Facial Feature Detection, Emotion Recognition, Eye Detection, Mouth Corner Detection."

+fe01e1099dc2ce02158de607be993f9fc8aade57,Aerial LaneNet: Lane Marking Semantic Segmentation in Aerial Imagery using Wavelet-Enhanced Cost-sensitive Symmetric Fully Convolutional Neural Networks,"Aerial LaneNet: Lane Marking Semantic
+Segmentation in Aerial Imagery using
+Wavelet-Enhanced Cost-sensitive Symmetric Fully
+Convolutional Neural Networks
+Seyed Majid Azimi, Peter Fischer, Marco Körner, and Peter Reinartz"

+fec5c0100c72d7c1c823a91dc146ecd5e98e77ff,Coherence criterion for region labelling and description,"Coherence criterion for region labelling and
+description
+Hichem Houissa
+INRIA Rocquencourt
+Domaine de Voluceau
+Nozha Boujemaa
+INRIA Rocquencourt
+Domaine de Voluceau
+Email:
+Email:"

+fe7f5c7da203c48aa1a9a2468aae55c6e0053df9,Interactive Text2Pickup Network for Natural Language based Human-Robot Collaboration,"Interactive Text2Pickup Network for Natural Language based
+Human-Robot Collaboration
+Hyemin Ahn, Sungjoon Choi, Nuri Kim, Geonho Cha, and Songhwai Oh"

+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"

+fea0895326b663bf72be89151a751362db8ae881,Homocentric Hypersphere Feature Embedding for Person Re-identification,"Homocentric Hypersphere Feature Embedding for
+Person Re-identification
+Wangmeng Xiang, Jianqiang Huang, Xianbiao Qi, Xiansheng Hua, Fellow, IEEE and Lei Zhang, Fellow, IEEE"

+feb4bcd20de6ce4f9503ef01c87390e662538c15,Monocular Depth Estimation with Augmented Ordinal Depth Relationships,"Monocular Depth Estimation with Augmented
+Ordinal Depth Relationships
+Yuanzhouhan Cao, Tianqi Zhao, Ke Xian, Chunhua Shen, Zhiguo Cao"

+fef89593599b78db7d133fc6893519b3ee8ff8d2,3D Face recognition by ICP-based shape matching,"D Face recognition by ICP-based shape matching
+Boulbaba Ben Amor1, Karima Ouji1, Mohsen Ardabilian1, Liming Chen1
+LIRIS Lab, Lyon Research Center for Images and Intelligent Information Systems, UMR 5205 CNRS
+Centrale Lyon, France"

+fe466e84fa2e838adc3c37ee327cd68004ae08fe,MUTAN: Multimodal Tucker Fusion for Visual Question Answering,"MUTAN: Multimodal Tucker Fusion for Visual Question Answering
+Hedi Ben-younes 1,2 *
+R´emi Cadene 1*
+Matthieu Cord 1
+Nicolas Thome 3
+Sorbonne Universit´es, UPMC Univ Paris 06, CNRS, LIP6 UMR 7606, 4 place Jussieu, 75005 Paris
+Heuritech, 248 rue du Faubourg Saint-Antoine, 75012 Paris
+Conservatoire National des Arts et M´etiers"

+fe41550ed350df4cd731a5df3dca5b0ea13511db,Compact Generalized Non-local Network,"Compact Generalized Non-local Network
+Kaiyu Yue1,3 Ming Sun1 Yuchen Yuan1 Feng Zhou2 Errui Ding1 Fuxin Xu3
+Baidu VIS 2Baidu Research
+Central South University
+{yuekaiyu, sunming05, yuanyuchen02, zhoufeng09,"

+feaedb6766f42e867aab7f1a33ba4d7ddacfc7aa,UvA-DARE ( Digital Academic Repository ) Tag-based Video Retrieval by Embedding Semantic Content in a Continuous Word,"UvA-DARE (Digital Academic Repository)
+Tag-based Video Retrieval by Embedding Semantic Content in a Continuous Word
+Space
+Agharwal, A.; Kovvuri, R.; Nevatia, R.; Snoek, C.G.M.
+Published in:
+016 IEEE Winter Conference on Applications of Computer Vision: WACV 2016: Lake Placid, New York, USA,
+7-10 March 2016
+0.1109/WACV.2016.7477706
+Link to publication
+Citation for published version (APA):
+Agharwal, A., Kovvuri, R., Nevatia, R., & Snoek, C. G. M. (2016). Tag-based Video Retrieval by Embedding
+Semantic Content in a Continuous Word Space. In 2016 IEEE Winter Conference on Applications of Computer
+Vision: WACV 2016: Lake Placid, New York, USA, 7-10 March 2016 (pp. 1354-1361). Piscataway, NJ: Institute
+of Electrical and Electronic Engineers. DOI: 10.1109/WACV.2016.7477706
+General rights
+It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s),
+other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons).
+Disclaimer/Complaints regulations
+If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating
+your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask"

+fe030b87e3c985c9dedab130949e2868e3e5e7d5,Explaining Neural Networks Semantically,"Under review as a conference paper at ICLR 2019
+EXPLAINING NEURAL NETWORKS SEMANTICALLY
+AND QUANTITATIVELY
+Anonymous authors
+Paper under double-blind review"

+fea83550a21f4b41057b031ac338170bacda8805,Learning a Metric Embedding for Face Recognition using the Multibatch Method,"Learning a Metric Embedding
+for Face Recognition
+using the Multibatch Method
+Oren Tadmor
+Yonatan Wexler
+Tal Rosenwein
+Shai Shalev-Shwartz
+Amnon Shashua
+Orcam Ltd., Jerusalem, Israel"

+fe005c5036ad646051cc779aafb63534bda14f06,The Hand Vein Pattern Used as a Biometric Feature,"The Hand Vein Pattern Used as a Biometric Feature
+Master Literature Thesis
+Annemarie Nadort
+Amsterdam - May 2007"

+fe35639349a87808481e64f9cbea065339063154,Understanding deep learning via backtracking and deconvolution,"Fang  J Big Data  (2017) 4:40
+DOI 10.1186/s40537-017-0101-8
+METHODOLOGY
+Understanding deep learning
+via backtracking and deconvolution
+Open Access
+Xing Fang*
+*Correspondence:
+School of Information
+Technology, Illinois State
+University, Normal, IL, USA"

+febb6454a3bfbc76f4c7934854d377ac15666215,Improving the Accuracy of Face Annotation in Social Network,"International Journal of Computer Applications (0975 – 8887)
+Volume 182 – No. 14, September 2018
+Improving the Accuracy of Face Annotation in Social
+Network
+C. Jayaramulu
+Research Scholar
+individual
+Dayananda Sagar University, Bangalore
+photographs."

+fed9e971e042b40cc659aca6e338d79dc1d4b59c,Grouping-by-id: Guarding against Adversar-,"Under review as a conference paper at ICLR 2018
+GROUPING-BY-ID: GUARDING AGAINST ADVERSAR-
+IAL DOMAIN SHIFTS
+Anonymous authors
+Paper under double-blind review"

+fe8b2b2a2ace6d6af28dc0f1d63400554c8c675d,Random walk distances in data clustering and applications,"Adv Data Anal Classif (2013) 7:83–108
+DOI 10.1007/s11634-013-0125-7
+REGULAR ARTICLE
+Random walk distances in data clustering
+nd applications
+Sijia Liu · Anastasios Matzavinos ·
+Sunder Sethuraman
+Received: 28 September 2011 / Revised: 24 May 2012 / Accepted: 30 September 2012 /
+Published online: 6 March 2013
+© Springer-Verlag Berlin Heidelberg 2013"

+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
+Open Access
+Bayesian face recognition using 2D
+Gaussian-Hermite moments
+S. M. Mahbubur Rahman1*, Shahana Parvin Lata2 and Tamanna Howlader2"

+c8db8764f9d8f5d44e739bbcb663fbfc0a40fb3d,Modeling for part-based visual object detection based on local features,"Modeling for part-based visual object
+detection based on local features
+Von der Fakult¨at f¨ur Elektrotechnik und Informationstechnik
+der Rheinisch-Westf¨alischen Technischen Hochschule Aachen
+zur Erlangung des akademischen Grades eines Doktors
+der Ingenieurwissenschaften genehmigte Dissertation
+vorgelegt von
+Diplom-Ingenieur
+Mark Asbach
+us Neuss
+Berichter:
+Univ.-Prof. Dr.-Ing. Jens-Rainer Ohm
+Univ.-Prof. Dr.-Ing. Til Aach
+Tag der m¨undlichen Pr¨ufung: 28. September 2011
+Diese Dissertation ist auf den Internetseiten der
+Hochschulbibliothek online verf¨ugbar."

+c85aa12331bdeaba06d4c3e44b969e6060c3310c,Ensemble of Part Detectors for Simultaneous Classification and Localization,"Ensemble of Part Detectors for Simultaneous
+Classification and Localization
+Xiaopeng Zhang, Hongkai Xiong, Senior Member, IEEE, Weiyao Lin, Qi Tian, Fellow, IEEE"

+c86e6ed734d3aa967deae00df003557b6e937d3d,Generative Adversarial Networks with Decoder-Encoder Output Noise,"Generative Adversarial Networks with
+Decoder-Encoder Output Noise
+Guoqiang Zhong, Member, IEEE, Wei Gao, Yongbin Liu, Youzhao Yang
+onditional distribution of their neighbors. In [32], Portilla and
+Simoncelli proposed a parametric texture model based on joint
+statistics, which uses a decomposition method that is called
+steerable pyramid decomposition to decompose the texture
+of images. An example-based super-resolution algorithm [11]
+was proposed in 2002, which uses a Markov network to model
+the spatial relationship between the pixels of an image. A
+scene completion algorithm [16] was proposed in 2007, which
+pplied a semantic scene match technique. These traditional
+lgorithms can be applied to particular image generation tasks,
+such as texture synthesis and super-resolution. Their common
+haracteristic is that they predict the images pixel by pixel
+rather than generate an image as a whole, and the basic idea
+of them is to make an interpolation according to the existing
+part of the images. Here, the problem is, given a set of images,
+an we generate totally new images with the same distribution
+of the given ones?"

+c8a4b4fe5ff2ace9ab9171a9a24064b5a91207a3,Locating facial landmarks with binary map cross-correlations,"LOCATING FACIAL LANDMARKS WITH BINARY MAP CROSS-CORRELATIONS
+J´er´emie Nicolle
+K´evin Bailly
+Vincent Rapp
+Mohamed Chetouani
+Univ. Pierre & Marie Curie, ISIR - CNRS UMR 7222, F-75005, Paris - France
+{nicolle, bailly, rapp,"

+c84ca95638893700d8f806e844984a5b2c50b5e3,Automatic Facial Expression Recognition Using 3D Faces,"Paper 071, ENG 101
+Automatic Facial Expression Recognition Using 3D Faces
+Chao Li, Antonio Soares
+Florida A&M University
+hao.li,"

+c8f035510b72b84c21430a887ed03c8836eeddc2,Optical-inertial Synchronization of MoCap Suit with Single Camera Setup for Reliable Position Tracking,

+c8f216dbd43dda14783677f44bb336c92211cd46,Synthesis from 3 D Mesh Sequences Driven by Combined Speech Features,"VISUAL SPEECH SYNTHESIS FROM 3D MESH SEQUENCES DRIVEN BY COMBINED
+SPEECH FEATURES
+Felix Kuhnke and J¨orn Ostermann
+Institut f¨ur Informationsverarbeitung, Leibniz Universit¨at Hannover, Germany"

+c866a2afc871910e3282fd9498dce4ab20f6a332,Surveillance Face Recognition Challenge,"Noname manuscript No.
+(will be inserted by the editor)
+Surveillance Face Recognition Challenge
+Zhiyi Cheng · Xiatian Zhu · Shaogang Gong
+Received: date / Accepted: date"

+c8dcb7b3c5ed43e61b90b50fedc76568d8e30675,Guarding against Adversarial Domain Shifts,"Under review as a conference paper at ICLR 2018
+GUARDING AGAINST ADVERSARIAL DOMAIN SHIFTS
+WITH COUNTERFACTUAL REGULARIZATION
+Anonymous authors
+Paper under double-blind review"

+c84233f854bbed17c22ba0df6048cbb1dd4d3248,Exploring Locally Rigid Discriminative Patches for Learning Relative Attributes,"Y. VERMA, C. V. JAWAHAR: EXPLORING PATCHES FOR RELATIVE ATTRIBUTES
+Exploring Locally Rigid Discriminative
+Patches for Learning Relative Attributes
+Yashaswi Verma
+http://researchweb.iiit.ac.in/~yashaswi.verma/
+C. V. Jawahar
+http://www.iiit.ac.in/~jawahar/
+IIIT-Hyderabad, India
+http://cvit.iiit.ac.in"

+c840d85f6dce0fb69fb6113923f17e1e314c6134,Disparity Sliding Window: Object Proposals From Disparity Images,"Disparity Sliding Window: Object Proposals From Disparity Images
+Julian M¨uller1, Andreas Fregin2 and Klaus Dietmayer1"

+c8fc65c83473c633e2bf1c13031ccd10617cc8a2,Every Object Tells a Story,"Every Object Tells a Story
+James Pustejovsky
+Computer Science Department
+Brandeis University
+Waltham, MA 02453
+Nikhil Krishnaswamy
+Computer Science Department
+Brandeis University
+Waltham, MA 02453"

+c896946612069f162864edfbecf5c1a8a077ed79,The Image Multi Feature Retrieval based on SVM Semantic Classification,"International Journal of Hybrid Information Technology
+Vol.9, No.3 (2016), pp. 291-300
+http://dx.doi.org/10.14257/ijhit.2016.9.3.27
+The Image Multi Feature Retrieval based on SVM Semantic
+Classification
+Che Chang1,2*, Yu Xiaoyang1 and Bai Yamei3
+. Measuring and Control Technology and Instrumentations,Harbin University of
+Science and Technology, Harbin, China
+. School of Engineering,Harbin University, Harbin, China
+. School of  Electronic and Information Engineering,Harbin Huade University
+Harbin, China
+E-mail:"

+c8ebe4c7d884c468d572a1ccf8583ac912215088,Emotion Dysregulation and Anxiety in Adults with ASD: Does Social Motivation Play a Role?,"J Autism Dev Disord
+DOI 10.1007/s10803-015-2567-6
+S . I . : A S D I N A D U L T H O O D : C O M O R B I D I T Y A N D I N T E R V E N T I O N
+Emotion Dysregulation and Anxiety in Adults with ASD: Does
+Social Motivation Play a Role?
+Deanna Swain1
+• Angela Scarpa1
+• Susan White1
+• Elizabeth Laugeson2
+Ó Springer Science+Business Media New York 2015"

+c8855bebdaa985dfc4c1a07e5f74a0e29787e47e,Multi-label Object Attribute Classification using a Convolutional Neural Network,"Multi-label Object Attribute Classification using
+Convolutional Neural Network
+Soubarna Banik, Mikko Lauri, Simone Frintrop
+Department of Informatics, Universit¨at Hamburg"

+c81ee278d27423fd16c1a114dcae486687ee27ff,Search Based Face Annotation Using Weakly Labeled Facial Images,"Search Based Face Annotation Using Weakly
+Labeled Facial Images
+Shital Shinde1, Archana Chaugule2
+Computer Department, Savitribai Phule Pune University
+D.Y.Patil Institute of Engineering and Technology, Pimpri, Pune-18
+Mahatma Phulenagar, 120/2 Mahaganpati soc, Chinchwad, Pune-19, MH, India
+D.Y.Patil Institute of Engineering and Technology, Pimpri, Pune-18, Savitribai Phule Pune University
+DYPIET, Pimpri, Pune-18, MH, India"

+c867caf3f29abb2f3fd5c4c7e98e5f551a70be25,DeLS-3D: Deep Localization and Segmentation with a 3D Semantic Map,"DeLS-3D: Deep Localization and Segmentation with a 3D Semantic Map
+Peng Wang, Ruigang Yang, Binbin Cao, Wei Xu, Yuanqing Lin
+Baidu Research
+National Engineering Laboratory for Deep Learning Technology and Applications
+{wangpeng54, yangruigang, caobinbin, wei.xu,"

+c81326a1ecb7e71ae38a665779b8d959d3938d1a,A Novel Neural Network Model Specified for Representing Logical Relations,"A Novel Neural Network Model Specified for Representing Logical
+Relations
+Gang Wang
+With computers to handle more and more complicated things in variable environments, it becomes an urgent requirement that
+the artificial intelligence has the ability of automatic judging and deciding according to numerous specific conditions so as to deal
+with the complicated and variable cases. ANNs inspired by brain is a good candidate. However, most of current numeric ANNs are
+not good at representing logical relations because these models still try to represent logical relations in the form of ratio based on
+functional approximation. On the other hand, researchers have been trying to design novel neural network models to make neural
+network model represent logical relations. In this work, a novel neural network model specified for representing logical relations is
+proposed and applied. New neurons and multiple kinds of links are defined. Inhibitory links are introduced besides exciting links.
+Different from current numeric ANNs, one end of an inhibitory link connects an exciting link rather than a neuron. Inhibitory
+model can simulate the operations of Boolean logic gates, and construct complex logical relations with the advantages of simpler
+neural network structures than recent works in this area. This work provides some ideas to make neural networks represent logical
+relations more directly and efficiently, and the model could be used as the complement to current numeric ANN to deal with logical
+issues and expand the application areas of ANN.
+Index Terms—Brain-inspired computing, logical representation, neural network structure, inhibitory link.
+I. INTRODUCTION
+With computers to handle more and more complicated
+things in variable environments like driverless car and ad-
+vanced medical diagnosis expert system, higher artificial intel-"

+c8ee4812c32b0ad4e26d53b99e1514514bbcaf14,A NEaT Design for Reliable and Scalable Network Stacks,"A NEaT Design for Reliable and Scalable
+Network Stacks
+Tomas Hruby
+Cristiano Giuffrida
+Lionel Sambuc
+Herbert Bos
+Andrew S. Tanenbaum
+Vrije Universiteit Amsterdam"

+c8bcd8e0b2ab6cc00a565efbcf904235c33ac2dc,Unsupervised Person Image Synthesis in Arbitrary Poses,"Unsupervised Person Image Synthesis in Arbitrary Poses
+Albert Pumarola
+Antonio Agudo
+Alberto Sanfeliu
+Francesc Moreno-Noguer
+Institut de Rob`otica i Inform`atica Industrial (CSIC-UPC)
+08028, Barcelona, Spain
+Figure 1: Given an original image of a person (left) and a desired body pose defined by a 2D skeleton (bottom-row), our
+model generates new photo-realistic images of the person under that pose (top-row). The main contribution of our work is to
+train this generative model with unlabeled data."

+c83a05de1b4b20f7cd7cd872863ba2e66ada4d3f,A Deep Learning Perspective on the Origin of Facial Expressions,"BREUER, KIMMEL: A DEEP LEARNING PERSPECTIVE ON FACIAL EXPRESSIONS
+A Deep Learning Perspective on the Origin
+of Facial Expressions
+Ran Breuer
+Ron Kimmel
+Department of Computer Science
+Technion - Israel Institute of Technology
+Technion City, Haifa, Israel
+Figure 1: Demonstration of the filter visualization process."

+c8e32484bbbc63908080284790edafc4b66008d2,Suivi par ré-identification dans un réseau de caméras à champs disjoints,"Suivi par r´e-identification dans un r´eseau de cam´eras `a
+hamps disjoints
+Boris Meden, Patrick Sayd, Fr´ed´eric Lerasle
+To cite this version:
+Boris Meden, Patrick Sayd, Fr´ed´eric Lerasle. Suivi par r´e-identification dans un r´eseau de
+am´eras `a champs disjoints. RFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle),
+Jan 2012, Lyon, France. pp.978-2-9539515-2-3, 2012.
+HAL Id: hal-00656507
+https://hal.archives-ouvertes.fr/hal-00656507
+Submitted on 17 Jan 2012
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+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"

+c813413fc84be33d7c4ccdd4a1f025ccc73a77bd,Discriminative Bayesian Active Shape Models,"Discriminative Bayesian Active Shape Models
+Pedro Martins, Rui Caseiro, Jo˜ao F. Henriques, Jorge Batista
+Institute of Systems and Robotics - University of Coimbra, Portugal"

+c81b303005459285a5864ea4de71f77025cd5be5,Norm-Induced Entropies for Decision Forests,"Norm-induced entropies for decision forests
+Christoph Lassner
+Rainer Lienhart
+Multimedia Computing and Computer Vision Lab, University of Augsburg"

+c8adbe00b5661ab9b3726d01c6842c0d72c8d997,Deep Architectures for Face Attributes,"Deep Architectures for Face Attributes
+Tobi Baumgartner, Jack Culpepper
+Computer Vision and Machine Learning Group, Flickr, Yahoo,
+{tobi,"

+fb04a8cb4b573d6b565a5b0c369d775e6bfb04f1,Title of dissertation : LOOKING AT PEOPLE USING PARTIAL LEAST SQUARES,

+fb4c3b2f893baa1fbf8d16da2e09aa9868c61a7a,Decoupled Weight Decay Regularization,"Under review as a conference paper at ICLR 2019
+DECOUPLED WEIGHT DECAY REGULARIZATION
+Anonymous authors
+Paper under double-blind review"

+fb4545782d9df65d484009558e1824538030bbb1,"Learning Visual Patterns: Imposing Order on Objects, Trajectories and Networks",

+fbbccf0454c84bea1fd5c5a1dcd9fd7bba301a44,Face Detection Using Gradient Vector Flow,"Proceedings of  the Second International Conference on Machine Learning and Cybernetics, Wan, 2-5 November 2003
+FACE DETECTION USING GRADIENT VECTOR FLOW
+MAYANK VATSA,  RICHA SINCH, P. GUPTA
+Department of Computer Science & Engineering Indian Institute of Technology Kanpur
+Kanpur INDIA, 208016
+E-MAIL: (mayankv, richas, pg} cse.iitk.ac.in"

+fbf196d83a41d57dfe577b3a54b1b7fa06666e3b,Extreme Learning Machine for Large-Scale Action Recognition,"Extreme Learning Machine for Large-Scale
+Action Recognition
+G¨ul Varol and Albert Ali Salah
+Department of Computer Engineering, Bo˘gazi¸ci University, Turkey"

+fbd7d591e6eecb9a947e377d5b1a865a9f86a11f,Consensual and Privacy-Preserving Sharing of Multi-Subject and Interdependent Data,"Consensual and Privacy-Preserving Sharing of
+Multi-Subject and Interdependent Data
+Alexandra-Mihaela Olteanu
+EPFL, UNIL–HEC Lausanne
+K´evin Huguenin
+UNIL–HEC Lausanne
+Italo Dacosta
+Jean-Pierre Hubaux"

+fb3af250a2ff85145519fea9ece7187452d02a50,The WILDTRACK Multi-Camera Person Dataset,"The WILDTRACK Multi-Camera Person
+Dataset
+Tatjana Chavdarova1, Pierre Baqu´e2, St´ephane Bouquet2,
+Andrii Maksai2, Cijo Jose1, Louis Lettry3,
+Pascal Fua2, Luc Van Gool3 and Fran¸cois Fleuret1
+Machine Learning group, Idiap Research Institute & ´Ecole
+Polytechnique F´ed´erale de Lausanne
+CVLab, ´Ecole Polytechnique F´ed´erale de Lausanne
+Computer Vision Lab, ETH Zurich"

+fbd781143a3f4c9d03c227cfbd1f528d658195ce,A Gender Recognition Experiment on the CASIA Gait Database Dealing with Its Imbalanced Nature,"A GENDER RECOGNITION EXPERIMENT ON THE CASIA GAIT
+DATABASE DEALING WITH ITS IMBALANCED NATURE
+Ra´ul Mart´ın-F´elez, Ram´on A. Mollineda and J. Salvador S´anchez
+Institute of New Imaging Technologies (INIT) and Dept. Llenguatges i Sistemes Inform`atics
+Universitat Jaume I. Av. Sos Baynat s/n, 12071, Castell´o de la Plana, Spain
+{martinr, mollined,
+Keywords:
+Gender recognition, Gait analysis, Class imbalance problem, Human silhouette, Appearance-based method."

+fbd047862ea869973ecf8fc35ae090ca00ff06d8,Literature review of fingerprint quality assessment and its evaluation,"A Literature Review of Fingerprint Quality Assessment
+nd Its Evaluation
+Zhigang Yao, Jean-Marie Le Bars, Christophe Charrier, Christophe
+Rosenberger
+To cite this version:
+Zhigang Yao, Jean-Marie Le Bars, Christophe Charrier, Christophe Rosenberger. A Literature Review
+of Fingerprint Quality Assessment and Its Evaluation.
+IET journal on Biometrics, 2016. <hal-
+01269240>
+HAL Id: hal-01269240
+https://hal.archives-ouvertes.fr/hal-01269240
+Submitted on 5 Feb 2016
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents"

+fbb6e707c8a5f189d8ad416597e23671b884448b,Altered gaze following during live interaction in infants at risk for autism: an eye tracking study,"Thorup et al. Molecular Autism  (2016) 7:12
+DOI 10.1186/s13229-016-0069-9
+R ES EAR CH
+Altered gaze following during live
+interaction in infants at risk for autism:
+n eye tracking study
+Emilia Thorup1*, Pär Nyström1, Gustaf Gredebäck1, Sven Bölte3,2, Terje Falck-Ytter3,1 and The EASE Team
+Open Access"

+fb95fb1e0bf99347a69f76c9fd65e039024e73b7,Photograph Based Pair-matching Recognition of Human Faces,"World Academy of Science, Engineering and Technology
+International Journal of Computer and Information Engineering
+Vol:5, No:12, 2011
+Photograph Base
+sed Pair-matching Recogn
+gnition of
+Human Faces
+Min Y
+n Yao, Kota Aoki, and Hiroshi Nagahashi
+(cid:1)"

+fbc93b13b8a6a5e4ed11310ce4da3be0b7541da8,Real-time Pedestrian Detection in a Truck's Blind Spot Camera,"Real-time pedestrian detection in a truck’s blind spot camera
+Kristof Van Beeck1,2 and Toon Goedem´e1,2
+EAVISE, Campus De Nayer - KU Leuven, J. De Nayerlaan 5, 2860 Sint-Katelijne-Waver, Belgium
+ESAT-PSI, KU Leuven, Kasteel Arenbergpark 10, 3100 Heverlee, Belgium
+{kristof.vanbeeck,
+Keywords:
+Pedestrian detection, Tracking, Real-time, Computer vision, Active safety systems"

+fbf20dc3367864462d7630aad81c436e50d1cd60,Iterative Bayesian Learning for Crowdsourced Regression,"Iterative Bayesian Learning for Crowdsourced Regression
+Jungseul Ok∗, Sewoong Oh∗, Yunhun Jang †, Jinwoo Shin†, and Yung Yi†
+October 9, 2018"

+fbb304770d33f44006d134906481208ad087ce63,Visual Self-Localization with Tiny Images,"Visual Self-Localization with Tiny Images
+Marius Hofmeister, Sara Erhard and Andreas Zell
+University of T¨ubingen, Department of Computer Science, Sand 1, 72076 T¨ubingen"

+fbd17af24e86fe487e28f99ba3e402dd6cfcd16a,Towards Detailed Recognition of Visual Categories,"Research Statement: Towards Detailed Recognition of Visual Categories
+Subhransu Maji
+As humans, we have a remarkable ability to perceive the world around us in minute detail purely
+from the light that is reflected off it – we can estimate material and metric properties of objects, localize
+people in images, describe what they are doing, and even identify them. Automatic methods for such
+detailed recognition of images are essential for most human-centric applications and large scale analysis
+of the content of media collections for market research, advertisement, and social studies. For example,
+in order to shop for shoes in an on-line catalogue, a system should be able to understand the style of a
+shoe, the length of its heels, or the shininess of its material. In order to support visual demographics
+nalysis for advertisement, a system should be able to not only identify the people in a scene, but also
+to understand what kind (style and brand) of clothes they are wearing, whether they are wearing any
+ccessories, and so on.
+Despite several successes, such detailed recognition is beyond the current computer vision systems.
+This is a challenging task, and to make progress we have to make advances on several fronts. We need
+etter representations of visual categories that can enable fine-grained reasoning about their properties,
+s well as machine learning methods that can leverage ‘big-data’ to learn such representations. In order
+to enable benchmarks for evaluating recognition tasks and to guide learning and inference in models
+that solve challenging problems, we need to develop better ways of human-computer interaction. My
+research touches upon several such themes in the intersection of computer vision, machine learning, and
+human-computer interaction including:"

+fba464cb8e3eff455fe80e8fb6d3547768efba2f,Survey Paper on Emotion Recognition,"International Journal of Engineering and Applied Sciences (IJEAS)
+ISSN: 2394-3661, Volume-3, Issue-2, February 2016
+Survey Paper on Emotion Recognition
+Prachi Shukla, Sandeep Patil"

+fb66546a16751810754430286fe4c636e4411ca4,Complementary feature sets for optimal face recognition,"Singh et al. EURASIP Journal on Image and Video Processing 2014, 2014:35
+http://jivp.eurasipjournals.com/content/2014/1/35
+R ES EAR CH
+Complementary feature sets for optimal face
+recognition
+Chandan Singh1, Neerja Mittal2* and Ekta Walia3
+Open Access"

+fb2379346def4846ac24bc41349e7cac7c1e7243,ClusterNet: 3D Instance Segmentation in RGB-D Images,"ClusterNet: 3D Instance Segmentation in RGB-D Images
+Lin Shao, Ye Tian, and Jeannette Bohg"

+fbb9cdd699baf86e9d616b259ada02449c2322ca,Active Testing: An Efficient and Robust Framework for Estimating Accuracy,"Active Testing: An Efficient and Robust Framework for Estimating Accuracy.
+Phuc Nguyen 1 Deva Ramanan 2 Charless Fowlkes 1"

+fb748a6953e72ad6d508109f8d809c25570ff07b,"The ""Eye Avoidance"" Hypothesis of Autism Face Processing.","NIH Public Access
+Author Manuscript
+J Autism Dev Disord. Author manuscript; available in PMC 2015 April 23.
+The “eye avoidance” hypothesis of autism face processing
+James W. Tanaka1 and Andrew Sung2
+Department of Psychology, University of Victoria, British Columbia
+Department of Special Education and Leadership Studies, University of Victoria, British
+Columbia"

+fb1732a1476798c42a0123aaf127036bf8daef09,LightDenseYOLO: A Fast and Accurate Marker Tracker for Autonomous UAV Landing by Visible Light Camera Sensor on Drone,"Article
+LightDenseYOLO: A Fast and Accurate Marker
+Tracker for Autonomous UAV Landing by Visible
+Light Camera Sensor on Drone
+Phong Ha Nguyen, Muhammad Arsalan, Ja Hyung Koo, Rizwan Ali Naqvi, Noi Quang Truong
+nd Kang Ryoung Park *
+Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul
+00-715, Korea; (P.H.N.); (M.A.); (J.H.K.);
+(R.A.N.); (N.Q.T.)
+* Correspondence: Tel.: +82-10-3111-7022; Fax: +82-2-2277-8735
+Received: 3 May 2018; Accepted: 22 May 2018; Published: 24 May 2018"

+fbb2f81fc00ee0f257d4aa79bbef8cad5000ac59,Reading Hidden Emotions: Spontaneous Micro-expression Spotting and Recognition,"Reading Hidden Emotions: Spontaneous
+Micro-expression Spotting and Recognition
+Xiaobai Li, Student Member, IEEE, Xiaopeng Hong, Member, IEEE, Antti Moilanen, Xiaohua Huang, Student
+Member, IEEE, Tomas Pfister, Guoying Zhao, Senior Member, IEEE, and Matti Pietik¨ainen, Fellow, IEEE"

+fb82681ac5d3487bd8e52dbb3d1fa220eeac855e,1 Network Notebook,"CONNECTIONS
+VOLUME IV, NUMBER 2
+Summer 1981
+CONTENTS
+NETWORK NOTEBOOK
+MEETING CALENDAR
+RESEARCH REPORTS
+Social Networks :
+A Beginner's Bookshelf
+Linton C . Freeman (California-Irvine)
+Summary of Research on Informant Accuracy in Network Data,
+nd on the Reverse Small World Problem
+H . Russell Bernard (Florida), Peter D . Killworth (Cambridge)
+& Lee Sailer (Pittsburgh)
+Russell's Paradox (Part II)
+Linton C . Freeman (California-Irvine)
+Goedel's Spoof :
+A Reply to Freeman
+Peter D . Killworth (Cambridge) & H . Russell Bernard (Florida)
+The Norwegian Connection :"

+fb76adeff0309ff4c8de4d0b413a8e3a637774d0,client2vec: Towards Systematic Baselines for Banking Applications,"lient2vec: Towards Systematic Baselines for Banking
+Applications
+Leonardo Baldassini
+BBVA Data & Analytics
+Jose Antonio Rodr´ıguez Serrano
+BBVA Data & Analytics"

+fb9ad920809669c1b1455cc26dbd900d8e719e61,3 D Gaze Estimation from Remote RGB-D Sensors THÈSE,"D Gaze Estimation from Remote RGB-D Sensors
+THÈSE NO 6680 (2015)
+PRÉSENTÉE LE 9 OCTOBRE 2015
+À LA FACULTÉ DES SCIENCES ET TECHNIQUES DE L'INGÉNIEUR
+LABORATOIRE DE L'IDIAP
+PROGRAMME DOCTORAL EN GÉNIE ÉLECTRIQUE
+ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE
+POUR L'OBTENTION DU GRADE DE DOCTEUR ÈS SCIENCES
+Kenneth Alberto FUNES MORA
+cceptée sur proposition du jury:
+Prof. K. Aminian, président du jury
+Dr J.-M. Odobez,   directeur de thèse
+Prof. L.-Ph. Morency, rapporteur
+Prof. D. Witzner Hansen, rapporteur
+Dr R. Boulic, rapporteur
+Suisse"

+ed28e8367fcb7df7e51963add9e2d85b46e2d5d6,A Novel Approach of Face Recognition Using Convolutional Neural Networks with Auto Encoder,"International J. of Engg. Research & Indu. Appls. (IJERIA).
+ISSN 0974-1518, Vol.9, No. III (December 2016), pp.23-42
+A NOVEL APPROACH OF FACE RECOGNITION USING
+CONVOLUTIONAL NEURAL  NETWORKS WITH AUTO
+ENCODER
+T. SYED AKHEEL1 AND DR. S. A. K JILANI2
+Research Scholar, Dept. of Electronics & Communication Engineering,
+Rayalaseema University Kurnool, Andhra Pradesh.
+2 Research Supervisor, Professor, Dept. of Electronics & Communication Engineering,
+Madanapalle Institute of Technology & Science, Madanapalle, Andhra Pradesh."

+ed732b3a1f8fe733686a35688b090f426d018f9b,Dual-Process Theories in Social Cognitive Neuroscience,"This article was originally published in Brain Mapping: An Encyclopedic
+Reference, published by Elsevier, and the attached copy is provided by
+Elsevier for the author's benefit and for the benefit of the author's institution,
+for non-commercial research and educational use including without limitation
+use in instruction at your institution, sending it to specific colleagues who you
+know, and providing a copy to your institution’s administrator.
+All other uses, reproduction and distribution, including without limitation
+ommercial reprints, selling or licensing copies or access, or posting on open
+internet sites, your personal or institution’s website or repository, are
+prohibited. For exceptions, permission may be sought for such use through
+Elsevier's permissions site at:
+http://www.elsevier.com/locate/permissionusematerial
+Spunt R.P. (2015) Dual-Process Theories in Social Cognitive Neuroscience. In:
+Arthur W. Toga, editor. Brain Mapping: An Encyclopedic Reference, vol. 3, pp.
+11-215. Academic Press: Elsevier."

+ed6003db58b67f1dfac654868b437efcef6e2ccb,Restricted Isometry Property of Gaussian Random Projection for Finite Set of Subspaces,"Restricted Isometry Property of Gaussian Random Projection
+for Finite Set of Subspaces
+Gen Li and Yuantao Gu∗
+submitted April 7, 2017, revised August 11, 2017, accepted November 8, 2017"

+ed9967868fcca2ec38402d2bb3e6946b8e554472,Efficient Eye Location for Biomedical Imaging using Two-level Classifier Scheme,"International Journal of Control, Automation, and Systems, vol. 6, no. 6, pp. 828-835, December 2008
+Efficient Eye Location for Biomedical Imaging using Two-level Classifier
+Scheme
+Mi Young Nam, Xi Wang, and Phill Kyu Rhee*"

+edc5c359ed0fc24a3e85628f57fde59cd9b26dd4,Search Space Optimization and False Alarm Rejection Face Detection Framework,"Journal of Theoretical and Applied Information Technology
+30th September 2015. Vol.79. No.3
+© 2005 - 2015 JATIT & LLS. All rights reserved.
+ISSN: 1992-8645                                                       www.jatit.org                                                          E-ISSN: 1817-3195
+SEARCH SPACE OPTIMIZATION AND FALSE ALARM
+REJECTION FACE DETECTION FRAMEWORK
+ALI SHARIFARA, 2MOHD SHAFRY MOHD RAHIM, 3 HAMED SAYYADI,
+FARHAD NAVABIFAR
+,2, Department of Computer Graphics and Multimedia, Faculty of Computing University Technology
+Malaysia (UTM).81310 Skudai Johor, Malaysia.
+Department of Computer Systems and Communications, Faculty of Computing University Technology
+Malaysia (UTM), 81310 Skudai Johor, Malaysia.
+Department of Computer Engineering Mobarakeh Branch-Islamic Azad University, Mobarakeh, Esfahan,
+E-mail:
+Iran."

+ed07fa6df6a8fc27015d25717c9f730dc9eede84,of the 19 th Workshop on the Semantics and Pragmatics of Dialogue,"SEMDIAL 2015
+goDIAL
+Proceedings of the 19th Workshop on
+the Semantics and Pragmatics of Dialogue
+Christine Howes and Staffan Larsson (eds.)
+Gothenburg, 24–26 August 2015"

+ed08ac6da6f8ead590b390b1d14e8a9b97370794,An Efficient Approach for 3D Face Recognition Using ANN Based Classifiers,"ISSN(Online): 2320-9801
+ISSN (Print):  2320-9798
+International Journal of Innovative Research in Computer
+nd Communication Engineering
+(An ISO 3297: 2007 Certified Organization)
+Vol. 3, Issue 9, September 2015
+An Efficient Approach for 3D Face
+Recognition Using ANN Based Classifiers
+Vaibhav M. Pathak1, Suhas S.Satonkar2, Dr.Prakash B.Khanale3
+Assistant Professor, Dept. of C.S., Shri Shivaji College, Parbhani, M.S, India1
+Assistant Professor, Dept. of C.S., Arts, Commerce and Science College, Gangakhed, M.S, India2
+Associate Professor, Dept. of C.S., Dnyanopasak College Parbhani, M.S, India3"

+ed3c4d2d28faaccbaef876a7daaecc3cccadb48f,3D Human Pose Estimation from a Single Image via Distance Matrix Regression,"D Human Pose Estimation from a Single Image via Distance Matrix Regression
+Institut de Rob`otica i Inform`atica Industrial (CSIC-UPC), 08028, Barcelona, Spain
+Francesc Moreno-Noguer"

+edf074a5eb3a1f71cc710ccc42849dceb27e3531,Towards real-time unsupervised monocular depth estimation on CPU,"Towards real-time unsupervised monocular depth estimation on CPU
+Matteo Poggi1, Filippo Aleotti2, Fabio Tosi1, Stefano Mattoccia1"

+ed6801362ab442097e7f753f163b9e9c0584b257,Learning Based 2D to 3D Conversion with Input Image Denoising,"International Journal of Scientific Research Engineering & Technology (IJSRET), ISSN 2278 – 0882
+Volume 4, Issue 5, May 2015
+Learning Based 2D to 3D Conversion with Input Image Denoising
+Divya K.P.1, Sneha K.2, Nafla C.N.3
+(Department of CSE, RCET, Akkikkvu, Thrissur)
+(Asst. Professor, Department of CSE, RCET, Akkikkvu, Thrissur)
+(Department of CSE, RCET, Akkikkvu, Thrissur)"

+edef98d2b021464576d8d28690d29f5431fd5828,Pixel-Level Alignment of Facial Images for High Accuracy Recognition Using Ensemble of Patches,"Pixel-Level Alignment of Facial Images
+for High Accuracy Recognition
+Using Ensemble of Patches
+Hoda Mohammadzade, Amirhossein Sayyafan, Benyamin Ghojogh"

+ed38d22cd5558d1abb40b477027d52ff7b6d09db,Title of thesis : SIMULTANEOUS MULTI - VIEW FACE TRACKING AND RECOGNITION IN VIDEO USING PARTICLE FILTERING,

+edceeaa885f3eb29761580095059f8a34be8408b,SitNet: Discrete Similarity Transfer Network for Zero-shot Hashing,"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)
+ModelSimilar?Figure1:Zero-shothashing.Thehashingmodeltrainedwithseenconceptsshouldgeneralizewellontheunseenconcepts.supervisedhashinglikeSupervisedDiscreteHashing[Shenetal.,2015a].Withthesupervisedinformationlikesemanticsimilaritymatrixorclasslabels,thesupervisedapproachesachievesuperiorretrievalperformancebecausetheintrinsicsemanticpropertyinthedataisbetterexplored.Recentlythedeepconvolutionalneuralnetwork(CN-N)hasachievedgreatsuccessinmanycomputervisiontasks,likeimageclassification[Heetal.,2016]andfacerecognition[Wenetal.,2016].InspiredbyCNN’spower-fulfeatureextractionability,someworkshaveattemptedtobuildhashingmodelsbasedonCNN[Laietal.,2015;Liuetal.,2016;Xiaetal.,2014]haveappeared.Theyre-quirethehashcodesproducedbythelastfullyconnectedlay-ertopreservethesimilaritygivenbythesupervisedinfor-mation.ItisdemonstratedthattheimageretrievalaccuracyissignificantlyimprovedbyCNN-basedhashingapproachescomparedwiththenon-CNNones[Liuetal.,2016].Itshouldbenoticedthattheexistinghashingapproachesmainlyfocusontheclose-setretrieval,i.e.,theconceptsofpossibletestingsamples(bothdatabasesamplesandquerysamples)arewithinthetrainingset.However,theexplosivegrowthofWebimagesviolatesthissettingbecausethenewconceptsabouttheimagesmayemergerapidly.Itisexpen-sivetoannotatesufficienttrainingdataforthenewconcept-stimely,andalso,impracticaltoretrainthehashingmodelwhereastheretrievalsystemmeetsanewconcept.Asillus-tratedinFigure1,theexistingapproachesperformwellontheseenconceptsbecausetheyaregivencorrectguidance,buttheymayeasilyfailontheunseenconceptsthattheynev-ermeetbeforesuchasthe“dicycle”whichisakindofvehicle"

+edcf668846a3aaf55120aef0c806854936208b3d,Human Recognition in RGBD Combining Object Detectors and Conditional Random Fields,

+ed90a9d379f6412a1580e7eda5cb91640000dc42,Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffe,"Highly Efficient 8-bit Low Precision Inference of
+Convolutional Neural Networks with IntelCaffe
+Jiong Gong, Haihao Shen, Guoming Zhang, Xiaoli Liu, Shane Li, Ge Jin, Niharika Maheshwari,
+Evarist Fomenko, Eden Segal
+{jiong.gong, haihao.shen, guoming.zhang, xiaoli.liu, li.shane, ge.jin, niharika.maheshwari, evarist.m.fomenko,
+Intel Corporation"

+ed5519a03f52e47047079da2e0c480eb8c4a9805,An Evaluation of Trajectory Prediction Approaches and Notes on the TrajNet Benchmark,"An Evaluation of Trajectory Prediction Approaches and
+Notes on the TrajNet Benchmark.
+Stefan Becker ∗, Ronny Hug ∗, Wolfgang H¨ubner and Michael Arens
+Fraunhofer Institute for Optronics, System Technologies, and Image Exploitation IOSB
+Gutleuthausstr. 1, 76275 Ettlingen, Germany"

+eda20a2f33d0f6db44a2e7d060efad3caa6621e0,"Classification with Global, Local and Shared Features","Classification with Global, Local and Shared
+Features
+Hakan Bilen1, Vinay P. Namboodiri2, Luc J. Van Gool1,3
+ESAT-PSI/IBBT,VISICS/KU Leuven, Belgium
+Alcatel-Lucent Bell Labs, Antwerp, Belgium
+Computer Vision Laboratory, BIWI/ETH Z¨urich, Switzerland"

+ed04e161c953d345bcf5b910991d7566f7c486f7,Mirror my emotions! Combining facial expression analysis and synthesis on a robot,"Combining facial expression analysis and synthesis on a
+Mirror my emotions!
+robot
+Stefan Sosnowski1 and Christoph Mayer2 and Kolja K¨uhnlenz3 and Bernd Radig4"

+edbfbcebb14234b438d90d6dcd9b667e9071952d,Learning Fashion Compatibility with Bidirectional LSTMs,"A.B.C.D.?Task 1: Fill in the blankTask 2: Outfit generation given texts or imagesWhat to dress for a biz meeting?(a)(b)Task 3: Compatibility predictionScore: 0.7Figure1:Wefocusonthreetasksoffashionrecommenda-tion.Task1:recommendingafashionitemthatmatchesthestyleofanexistingset.Task2:generatinganoutfitbasedonusers’text/imageinputs.Task3:predictingthecompatibil-ityofanoutfit.conductedonautomaticfashionanalysisinthemultimediacom-munity.However,mostofthemfocusonclothingparsing[9,26],clothingrecognition[12],orclothingretrieval[10].Although,thereareafewworksthatinvestigatedfashionrecommendation[6,8,10],theyeitherfailtoconsiderthecompositionofitemstoformanout-fit[10]oronlysupportoneofthetworecommendationcategoriesdiscussedabove[6,8].Inaddition,itisdesirablethatrecommenda-tionscantakemultimodalinputsfromusers.Forexample,ausercanprovidekeywordslike“business”,oranimageofabusinessshirt,oracombinationofimagesandtext,togenerateacollec-tionoffashionitemsforabusinessoccasion.However,nopriorapproachsupportsmultimodalinputsforrecommendation.Keytofashionrecommendationismodelingthecompatibilityoffashionitems.Wecontendthatacompatibleoutfit(asshowninFigure3)shouldhavetwokeyproperties:(1)itemsintheout-fitshouldbevisuallycompatibleandsharesimilarstyle;(2)these"

+ed2420d0fc7087d61633bd9a5b2907d1c2de1810,Facial symmetry evaluation from high – density scanned data,

+eddb1a126eafecad2cead01c6c3bb4b88120d78a,Applications of a Graph Theoretic Based Clustering Framework in Computer Vision and Pattern Recognition,"DEPARTMENT DESIGN AND PLANNING IN COMPLEX ENVIRONMENTS
+DOTTORATO DI RICERCA IN NUOVE TECNOLOGIE, INFORMAZIONE TERRITORIO E
+UNIVERSIT‘A IUAV DI VENEZIA
+AMBIENTE, XXX CICLO
+APPLICATIONS OF A GRAPH THEORETIC BASED
+CLUSTERING FRAMEWORK IN COMPUTER VISION AND
+PATTERN RECOGNITION
+Doctoral Dissertation of:
+Yonatan Tariku Tesfaye
+Supervisor:
+Prof. Andrea Prati
+The Chair of the Doctoral Program:
+Prof. Fabio Peron"

+ed6a47f0e2e621d8420082ba1d0078189d76352f,3d Facial Expression Intensity Measurement Analysis,"Proceedings of the 6th International Conference on Computing and Informatics, ICOCI 2017
+5-27April, 2017 Kuala Lumpur. Universiti Utara Malaysia (http://www.uum.edu.my )
+Paper No.
+How to cite this paper:
+Alicia Cheong Chiek Ying, Hamimah Ujir, & Irwandi Hipiny. (2017). 3D facial expression intensity measurement
+nalysis in Zulikha, J. & N. H. Zakaria (Eds.), Proceedings of the 6th International Conference of Computing &
+Informatics (pp 43-48). Sintok: School of Computing.
+D FACIAL EXPRESSION INTENSITY MEASUREMENT
+ANALYSIS
+Alicia Cheong Chiek Ying1, Hamimah Ujir2and Irwandi Hipiny3
+Sarawak Information Systems Sdn. Bhd. (SAINS),
+Universiti Malaysia Sarawak,
+Universiti Malaysia Sarawak,"

+ed02b45d05e58803596891d660837c21be70a0af,Entity type modeling for multi-document summarization : generating descriptive summaries of geo-located entities,"Entity Type Modeling for Multi-Document
+Summarization: Generating Descriptive Summaries of
+Geo-Located Entities
+Ahmet Aker
+A thesis submitted in fulfilment of requirements for the degree of
+Doctor of Philosophy
+Department of Computer Science
+University of Sheffield
+November 2013"

+c1d2d12ade031d57f8d6a0333cbe8a772d752e01,Convex optimization techniques for the efficient recovery of a sparsely corrupted low-rank matrix,"Journal of Math-for-Industry, Vol.2(2010B-5), pp.147–156
+Convex optimization techniques for the ef‌f‌icient recovery of a sparsely
+orrupted low-rank matrix
+Silvia Gandy and Isao Yamada
+Received on August 10, 2010 / Revised on August 31, 2010"

+c1c34a3ab7815af1b9bcaf2822e4b9da8505f915,Image transmorphing with JPEG,"IMAGE TRANSMORPHING WITH JPEG
+Lin Yuan and Touradj Ebrahimi
+Multimedia Signal Processing Group, EPFL, Lausanne, Switzerland"

+c158009b33989c6677f1daa3f5926887c9471c5e,Controlling Complex Systems and Developing Dynamic Technology,"Electronic Thesis and Dissertations
+Peer Reviewed
+Title:
+Controlling Complex Systems and Developing Dynamic Technology
+Author:
+Avizienis, Audrius Victor
+Acceptance Date:
+Series:
+UCLA Electronic Theses and Dissertations
+Degree:
+Ph.D., Chemistry 0153UCLA
+Advisor(s):
+Gimzewski, James K
+Committee:
+Kodambaka, Suneel, Baugh, Delroy A
+Permalink:
+https://escholarship.org/uc/item/35c10822"

+c18d80d00f2a7107bfe780eeec21b51a634ea925,Computational perspectives on the other-race effect,"This article was downloaded by: [The University of Texas at Dallas], [Alice
+O'Toole]
+On: 25 July 2013, At: 12:46
+Publisher: Routledge
+Informa Ltd Registered in England and Wales Registered Number: 1072954
+Registered office: Mortimer House, 37-41 Mortimer Street, London W1T 3JH,
+Visual Cognition
+Publication details, including instructions for authors
+nd subscription information:
+http://www.tandfonline.com/loi/pvis20
+Computational perspectives on
+the other-race effect
+Alice J. O'Toole a & Vaidehi Natu a
+School of Behavioural and Brain Sciences , University
+of Texas at Dallas , Richardson , TX , USA
+Published online: 14 Jun 2013.
+To cite this article: Visual Cognition (2013): Computational perspectives on the other-
+race effect, Visual Cognition, DOI: 10.1080/13506285.2013.803505
+To link to this article:  http://dx.doi.org/10.1080/13506285.2013.803505
+PLEASE SCROLL DOWN FOR ARTICLE"

+c19ed5102ecd953d5c78d5a0b87eaa51658e07d8,Recovering Accurate 3D Human Pose in the Wild Using IMUs and a Moving Camera,"Recovering Accurate 3D Human Pose in The
+Wild Using IMUs and a Moving Camera
+Timo von Marcard1, Roberto Henschel1, Michael J. Black2, Bodo Rosenhahn1,
+nd Gerard Pons-Moll3
+Leibniz Universit¨at Hannover, Germany
+MPI for Intelligent Systems, T¨ubingen, Germany
+MPI for Informatics, Saarland Informatics Campus, Germany"

+c1b2668186fcd01b3c0e93a9a0a68e3eb88a09ab,Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360 ^\circ ∘ Panoramic Imagery,"Eliminating the Blind Spot: Adapting 3D Object
+Detection and Monocular Depth Estimation to
+60◦ Panoramic Imagery
+Gr´egoire Payen de La Garanderie, Amir Atapour Abarghouei,
+nd Toby P. Breckon
+Department of Computer Science
+Durham University"

+c1c8ea4b2118095bea55cf6b51c36dbf95cc7f2c,Learning 3D Segment Descriptors for Place Recognition,"Learning 3D Segment Descriptors for Place Recognition
+Andrei Cramariuc
+Renaud Dubé
+Hannes Sommer
+Roland Siegwart
+Igor Gilitschenski∗"

+c160bcbc8f0517a97e46042c84343bf3f0477478,A Dynamic Approach and a New Dataset for Hand-detection in First Person Vision,"A Dynamic Approach and a New Dataset for
+Hand-Detection in First Person Vision.
+Alejandro Betancourt1,2, Pietro Morerio1, Emilia I. Barakova2, Lucio Marcenaro1,
+Matthias Rauterberg2, Carlo S. Regazzoni1
+Department of Naval, Electric, Electronic and Telecommunications Engineering - University
+Designed Intelligence Group, Department of Industrial Design - Eindhoven University of
+Technology, The Netherlands.
+of Genoa, Italy."

+c165003060eeb01e05800a5ee4cd327f1e0bf5e3,SDC-Net: Video Prediction Using Spatially-Displaced Convolution,"SDC-Net: Video prediction using
+spatially-displaced convolution
+Fitsum A. Reda, Guilin Liu, Kevin J. Shih, Robert Kirby, Jon Barker,
+David Tarjan, Andrew Tao, and Bryan Catanzaro
+Nvidia Corporation, Santa Clara CA 95051, USA
+Fig. 1. Frame prediction on a YouTube video frame featuring a panning camera. Left
+to right: Ground-truth, MCNet [34] result, and our SDC-Net result. The SDC-Net
+predicted frame is sharper and preserves fine image details, while color distortion and
+lurriness is seen in the tree and text in MCNet’s predicted frame."

+c19845c84abc9e3afe17003fdcd545ed020d0624,A face biometric benchmarking review and characterisation,"A Face Biometric
+Benchmarking Review and
+Characterisation
+Sandra Mau
+Senior Research Engineer
+NICTA Advanced Surveillance
+BeFIT workshop – ICCV 2011"

+c10a15e52c85654db9c9343ae1dd892a2ac4a279,Learning the Relative Importance of Objects from Tagged Images for Retrieval and Cross-Modal Search,"Int J Comput Vis (2012) 100:134–153
+DOI 10.1007/s11263-011-0494-3
+Learning the Relative Importance of Objects from Tagged Images
+for Retrieval and Cross-Modal Search
+Sung Ju Hwang · Kristen Grauman
+Received: 16 December 2010 / Accepted: 23 August 2011 / Published online: 18 October 2011
+© Springer Science+Business Media, LLC 2011"

+c1059a702f53c44bb26d3313964e811adf01d9b4,Low and mid-level features for target detection in satellite images,"ISSN: 2278 – 1323
+International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
+Volume 2, Issue 2, February 2013
+Low and mid-level features for target detection in satellite images
+Rajani.D.C"

+c1bbcdf3b5901e3378a89808b07e53a502c295f0,Allostasis and the human brain: Integrating models of stress from the social and life sciences.,"Psychol Rev. Author manuscript; available in PMC 2011 January 1.
+Published in final edited form as:
+Psychol Rev. 2010 January; 117(1): 134–174.
+doi:  10.1037/a0017773
+Allostasis and the human brain: Integrating models of stress from the social and life sciences
+Barbara L. Ganzel, Pamela A. Morris, and Elaine Wethington
+Author information ► Copyright and License information ►
+The publisher's final edited version of this article is available at Psychol Rev
+See other articles in PMC that cite the published article."

+c1dfabe36a4db26bf378417985a6aacb0f769735,Describing Visual Scene through EigenMaps,"Journal of Computer Vision and Image Processing, NWPJ-201109-50
+Describing Visual Scene through EigenMaps
+Shizhi Chen, Student Member, IEEE, and YingLi Tian, Senior Member, IEEE"

+c175381a6b84ebd0a920ff44ccdccabd98bdfb94,Paper on Retrieval Magnets for Facial Duplication by Search Based Face Annotation,"International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Impact Factor (2012): 3.358
+A Review Paper on Retrieval Magnets for Facial
+Duplication by Search Based Face Annotation
+Deepika B. Patil1, Ayesha Butalia 2
+P.G. Student, Department of Computer Engineering, GMRCEM, Wagholi, Pune, India,
+Professor, Department of Computer Engineering, GMRCEM, Wagholi, Pune, India,"

+c1ff88493721af1940df0d00bcfeefaa14f1711f,Subspace Regression: Predicting a Subspace from one Sample,"#1369
+CVPR 2010 Submission #1369. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
+#1369
+Subspace Regression: Predicting a Subspace from one Sample
+Anonymous CVPR submission
+Paper ID 1369"

+c1100efda7c00d3181a6a065ab1474c2f864e267,Video visual analytics,"Video Visual Analytics
+Von der Fakultät Informatik, Elektrotechnik und
+Informationstechnik der Universität Stuttgart
+genehmigte Abhandlung
+zur Erlangung der Würde eines
+Doktors der Naturwissenschaften (Dr. rer. nat.)
+Vorgelegt von
+Markus Johannes Höferlin
+us Herrenberg
+Hauptberichter: Prof. Dr. Daniel Weiskopf
+Mitberichter:
+Prof. Dr. Gunther Heidemann
+Prof. Min Chen, BSc, PhD, FBCS, FEG, FLSW
+Tag der mündlichen Prüfung: 27. Mai 2013
+Visualisierungsinstitut
+der Universität Stuttgart"

+c132a6e869cd171e403784c172961471733dce31,In-vehicle Pedestrian Detection Using Stereo Vision Technology,"IN-VEHICLE PEDESTRIAN DETECTION USING STEREO VISION
+TECHNOLOGY
+Wei Zhang, Ph.D., P.E.
+Highway Research Engineer, Office of Safety Research & Development, HRDS-10
+Federal Highway Administration
+6300 Georgetown Pike, McLean, VA 22101, USA, e-mail:
+Submitted to the 3rd International Conference on Road Safety and Simulation, September 14-16,
+011, Indianapolis, USA"

+c16bae6b2e578df2cba8e436e02bdeda281c2743,Tensor Discriminant Color Space for Face Recognition,"Tensor Discriminant Color Space for Face
+Recognition
+Su-Jing Wang, Jian Yang, Member, IEEE, Na Zhang, and Chun-Guang Zhou*"

+c11eb653746afa8148dc9153780a4584ea529d28,Global and Local Consistent Wavelet-domain Age Synthesis,"Global and Local Consistent Wavelet-domain Age
+Synthesis
+Peipei Li†, Yibo Hu†, Ran He Member, IEEE and Zhenan Sun Member, IEEE"

+c1b971cd7263e788e114cf8c4aa076a2e170990f,Establishing the fundamentals for an elephant early warning and monitoring system,"Establishing the fundamentals for an elephant
+early warning and monitoring system
+Zeppelzauer and Stoeger
+Zeppelzauer and Stoeger  BMC Res Notes  (2015) 8:409
+DOI 10.1186/s13104-015-1370-y"

+c1ebbdb47cb6a0ed49c4d1cf39d7565060e6a7ee,Robust Facial Landmark Localization Based on Texture and Pose Correlated Initialization,"Robust Facial Landmark Localization Based on
+Yiyun Pan, Junwei Zhou, Member, IEEE, Yongsheng Gao, Senior Member, IEEE, Shengwu Xiong"

+c175f1666f3444e407660c5935a05b2a53f346f0,Modifying the Memorability of Face,"Modifying the Memorability of Face Photographs
+The MIT Faculty has made this article openly available. Please share
+how this access benefits you.  Your story matters.
+Citation
+As Published
+Publisher
+Version
+Accessed
+Citable Link
+Terms of Use
+Detailed Terms
+Khosla, Aditya, Wilma A. Bainbridge, Antonio Torralba, and Aude
+Oliva. “Modifying the Memorability of Face Photographs.” 2013
+IEEE International Conference on Computer Vision (December
+013).
+http://dx.doi.org/10.1109/ICCV.2013.397
+Institute of Electrical and Electronics Engineers (IEEE)
+Author's final manuscript
+Mon Nov 05 02:44:57 EST 2018
+http://hdl.handle.net/1721.1/90986"

+c1c3e32ecf6da8e1372fab7d504cb8cd2c86fd93,Face recognition based on artificial immune networks and principal component analysis with single training image per person,"Face recognition based on artificial immune networks and principal
+omponent analysis with single training image per person
+, Department of Mechanical Engineering, Tatung University, Taiwan, ROC,
+Guan-Chun Luh"

+c1087c588960dd7c00a2b5feed57fbdb70d066f1,Quantifying cortical surface asymmetry via logistic discriminant analysis,"Quantifying Cortical Surface Asymmetry
+via Logistic Discriminant Analysis
+Moo K. Chung1,2, Daniel J. Kelley2, Kim M. Dalton2, Richard J. Davidon2,3
+Department of Biostatistics and Medical Informatics
+Waisman Laboratory for Brain Imaging and Behavior
+Department of Psychology and Psychiatry
+University of Wisconsin, Madison, WI 53706, USA"

+c1130d5c7bb1311e04cffbaf2bf6cbe734adc2ac,DFNet: Semantic Segmentation on Panoramic Images with Dynamic Loss Weights and Residual Fusion Block,"DFNet: Semantic Segmentation on Panoramic Images with Dynamic Loss
+Weights and Residual Fusion Block
+Wei Jiang, Yan Wu∗
+technique, moreover,"

+c1bd99083098cf8dbfed8d25514755bc5356bc06,Fly Page (This sheet is left blank and not counted) GENERALIZED DISCRIMINANT ANALYSIS IN CONTENT-BASED IMAGE RETRIEVAL APPROVED BY SUPERVISING,"Fly Page
+(This sheet is left blank and not counted)"

+c1dd69df9dfbd7b526cc89a5749f7f7fabc1e290,Unconstrained face identification with multi-scale block-based correlation,"Unconstrained face identification with multi-scale block-based
+orrelation
+Gaston, J., MIng, J., & Crookes, D. (2016). Unconstrained face identification with multi-scale block-based
+orrelation. In Proceedings of the 2017 IEEE International Conference on Acoustics, Speech and Signal
+Processing (pp. 1477-1481). [978-1-5090-4117-6/17] Institute of Electrical and Electronics Engineers (IEEE).
+Published in:
+Proceedings of the 2017 IEEE International Conference on Acoustics, Speech and Signal Processing
+Document Version:
+Peer reviewed version
+Queen's University Belfast - Research Portal:
+Link to publication record in Queen's University Belfast Research Portal
+Publisher rights
+© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future
+media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or
+redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
+General rights
+Copyright for the publications made accessible via the Queen's University Belfast Research Portal is retained by the author(s) and / or other
+opyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated
+with these rights.
+Take down policy"

+c68ec931585847b37cde9f910f40b2091a662e83,A Comparative Evaluation of Dotted Raster-Stereography and Feature-Based Techniques for Automated Face Recognition,"(IJACSA) International Journal of Advanced Computer Science and Applications,
+Vol. 9, No. 6, 2018
+A Comparative Evaluation of Dotted Raster-
+Stereography and Feature-Based Techniques for
+Automated Face Recognition
+Muhammad Wasim
+S. Talha Ahsan
+Department of Computer Science
+Department of Electrical Engineering
+Usman Institute of Technology
+Usman Institute of Technology
+Karachi, Pakistan
+Karachi, Pakistan
+Lubaid Ahmed, Syed Faisal Ali,
+Fauzan Saeed
+Department of Computer Science
+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,"

+c6d6193c8f611331c8178c3857f9ef92607a4507,A Study on Using Mid-Wave Infrared Images for Face Recognition,"Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring II; and
+Biometric Technology for Human Identification IX, edited by Sárka O. Southern, et al., Proc. of SPIE Vol. 8371, 83711K
+© 2012 SPIE · CCC code: 0277-786X/12/$18 · doi: 10.1117/12.918899
+Proc. of SPIE Vol. 8371  83711K-1
+From: http://spiedigitallibrary.org/ on 04/30/2013 Terms of Use: http://spiedl.org/terms"

+c610888cadcf2aa45e7367f43e42eaa7a586652e,Fast Convergence for Object Detection by Learning how to Combine Error Functions,"(cid:13) 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 advertising or promotional purposes, creating new
+ollective works, for resale or redistribution to servers or
+lists, or reuse of any copyrighted component of this work in
+other works.
+Accepted version."

+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
+Engineering,Technology and Techniques
+BRAZILIAN ARCHIVES OF
+BIOLOGY AND TECHNOLOGY
+A N   I N T E R N A T I O N A L   J O U R N A L
+Face  Image  Retrieval  of  Efficient  Sparse  Code  words  and
+Multiple Attribute in Binning Image
+Suchitra S1*.
+Srm Easwari Engineering College, Ramapuram, Bharathi Salai, Chennai, Tamil Nadu, India."

+c6c3cee8adacff8a63ab84dc847141315e874400,Disentangling by Factorising,"Disentangling by Factorising
+Hyunjik Kim 1 2 Andriy Mnih 1"

+c6f3399edb73cfba1248aec964630c8d54a9c534,A comparison of CNN-based face and head detectors for real-time video surveillance applications,"A Comparison of CNN-based Face and Head Detectors for
+Real-Time Video Surveillance Applications
+Le Thanh Nguyen-Meidine1, Eric Granger 1, Madhu Kiran1 and Louis-Antoine Blais-Morin2
+´Ecole de technologie sup´erieure, Universit´e du Qu´ebec, Montreal, Canada
+Genetec Inc., Montreal, Canada"

+c62c4e5d8243da6bc1fde64097b2ab8971e6e51f,"A Unified Approach for Conventional Zero-Shot, Generalized Zero-Shot, and Few-Shot Learning","JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2017
+A Unified approach for Conventional Zero-shot,
+Generalized Zero-shot and Few-shot Learning
+Shafin Rahman, Salman H. Khan and Fatih Porikli"

+c636cd6eba286357fe807c0ca4b02c3b9b7b5619,Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization,"Training Deep Networks with Synthetic Data:
+Bridging the Reality Gap by Domain Randomization
+Jonathan Tremblay∗
+Aayush Prakash∗
+David Acuna∗†
+Mark Brophy∗
+Varun Jampani
+Cem Anil†
+Thang To
+Eric Cameracci
+Shaad Boochoon
+Stan Birchfield
+NVIDIA
+also University of Toronto
+{jtremblay,aayushp,dacunamarrer,markb,vjampani,"

+c600e985ae3af9143b41271abd040a1c1e89177e,Nonparametric Video Retrieval and Frame Classification using Tiny Videos,"Nonparametric Video Retrieval and Frame Classification using Tiny Videos
+{tag}                                                        {/tag}
+IJCA Proceedings on International Conference in
+Recent trends in Computational Methods, Communication and Controls (ICON3C 2012)
+© 2012 by IJCA Journal
+ICON3C - Number 3
+Year of Publication: 2012
+Authors:
+A. K.  M.  Shanawas Fathima
+R.  Kanthavel
+{bibtex}icon3c1024.bib{/bibtex}"

+c694b397a3a0950cd20699a687fe6c8a3173b107,Explaining autism spectrum disorders: central coherence vs. predictive coding theories.,"J Neurophysiol 112: 2669 –2671, 2014.
+First published May 28, 2014; doi:10.1152/jn.00242.2014.
+Neuro Forum
+Explaining autism spectrum disorders: central coherence vs. predictive coding
+theories
+Jason S. Chan and Marcus J. Naumer
+Institute of Medical Psychology, Goethe-University, Frankfurt, Germany
+Submitted 27 March 2014; accepted in final form 23 May 2014
+Chan JS, Naumer MJ. Explaining autism spectrum disorders: central
+oherence vs. predictive coding theories. J Neurophysiol 112: 2669–2671,
+014. First published May 28, 2014; doi:10.1152/jn.00242.2014.—In this
+rticle, we review a recent paper by Stevenson et al. (J Neurosci 34:
+691–697, 2014). This paper illustrates the need to present different forms of
+stimuli in order to characterize the perceptual abilities of people with autism
+spectrum disorder (ASD). Furthermore, we will discuss their behavioral
+results and offer an opposing viewpoint to the suggested neuronal drivers of
+utism spectrum disorder; multisensory integration; temporal binding
+window
+THE DIFFERENCE in propagation time between an auditory and a
+visual stimulus can be substantial, depending on the distance"

+c6d5d47513d6a7a1b0b92b33efda3f2a866d34ad,Characterizing International Travel Behavior from Geotagged Photos: A Case Study of Flickr,"RESEARCH ARTICLE
+Characterizing International Travel Behavior
+from Geotagged Photos: A Case Study of
+Flickr
+Yihong Yuan*, Monica Medel
+Department of Geography, Texas State University, San Marcos, Texas, 78666, United States of America"

+c679fd4e29597c64e5921fad796183ae30db8396,LG ] 5 M ar 2 01 6 A Latent-Variable Grid Model,"A Latent-Variable Grid Model
+Rajasekaran Masatran
+Computer Science and Engineering, Indian Institute of Technology Madras
+FREESHELL · ORG"

+c6638c7c1ec7b8fd5cdba039536fb44d12cff5c2,Towards a Development of Augmented Reality for Jewellery App,"Revati Mukesh Raspayle et al, International Journal of Computer Science and Mobile Computing, Vol.5 Issue.6, June- 2016, pg. 129-137
+Available Online at www.ijcsmc.com
+International Journal of Computer Science and Mobile Computing
+A Monthly Journal of Computer Science and Information Technology
+ISSN 2320–088X
+IMPACT FACTOR: 5.258
+IJCSMC, Vol. 5, Issue. 6, June 2016, pg.129 – 137
+Towards a Development of Augmented
+Reality for Jewellery App
+Er. Revati Mukesh Raspayle1, Prof. Kavita Kelkar2
+¹Student (M.Tech) CSE, Mumbai University, Computer Engineering, K.J SOMAIYA COE Vidyavihar,
+²Assistant Professor, Mumbai University, Computer Engineering, K.J SOMAIYA COE Vidyavihar,
+Mumbai 400077, India
+Mumbai 400077, India"

+c693c578d783323d130d642bd04d391aac7e8f81,Semantic Pyramids for Gender and Action Recognition,"Semantic Pyramids for Gender and Action
+Recognition
+Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Michael Felsberg, Carlo Gatta"

+c6badb2cc1191f9dd5e5bea7df75a76349176d01,Densely tracking sequences of 3D face scans,"Densely tracking sequences of 3D face scans
+Huaxiong DING
+Ecole Centrale de LYON
+Liming Chen
+Ecole Centrale de LYON"

+c6c086748474dcda06d773891848aa1472de3560,Activity Recognition Based on a Magnitude-Orientation Stream Network,"Activity Recognition based on a
+Magnitude-Orientation Stream Network
+Carlos Caetano, Victor H. C. de Melo, Jefersson A. dos Santos, William Robson Schwartz
+Smart Surveillance Interest Group, Department of Computer Science
+Universidade Federal de Minas Gerais, Belo Horizonte, Brazil"

+c6eb026d3a0081f4cb5cde16d3170f8ecf8ce706,Face Recognition: From Traditional to Deep Learning Methods,"Face Recognition: From Traditional to Deep
+Learning Methods
+Daniel S´aez Trigueros, Li Meng
+School of Engineering and Technology
+University of Hertfordshire
+Hatfield AL10 9AB, UK
+Margaret Hartnett
+GBG plc
+London E14 9QD, UK"

+c6ffa09c4a6cacbbd3c41c8ae7a728b0de6e10b6,Feature extraction using constrained maximum variance mapping,"This article appeared in a journal published by Elsevier. The attached
+opy is furnished to the author for internal non-commercial research
+nd education use, including for instruction at the authors institution
+nd sharing with colleagues.
+Other uses, including reproduction and distribution, or selling or
+licensing copies, or posting to personal, institutional or third party
+websites are prohibited.
+In most cases authors are permitted to post their version of the
+rticle (e.g. in Word or Tex form) to their personal website or
+institutional repository. Authors requiring further information
+regarding Elsevier’s archiving and manuscript policies are
+encouraged to visit:
+http://www.elsevier.com/copyright"

+c6fdbdbbbc7642daae22df0b7812e78d0647afb3,Unsupervised feature learning with C-SVDDNet,"Unsupervised Feature Learning with C-SVDDNet
+Dong Wang and Xiaoyang Tan"

+c6dab0aba7045f078313a4186cd507ff8eb8ce32,Atypical disengagement from faces and its modulation by the control of eye fixation in children with autism spectrum disorder.,"BIROn - Birkbeck Institutional Research Online
+Enabling open access to Birkbeck’s published research output
+Atypical disengagement from faces and its modulation
+y the control of eye fixation in children with Autism
+Spectrum Disorder
+Journal Article
+http://eprints.bbk.ac.uk/4677
+Version: Accepted (Refereed)
+Citation:
+© 2011 Springer
+Publisher  version
+______________________________________________________________
+All articles available through Birkbeck ePrints are protected by intellectual property law, including
+opyright law. Any  use made of the contents should comply with the relevant law.
+______________________________________________________________
+Kikuchi, Y.; Senju, A.; Akechi, H.; Tojo, Y.; Osanai, H.; Hasegawa, T.
+(2011)
+Atypical disengagement from faces and its modulation by the control of
+eye fixation in children with Autism Spectrum Disorder
+Deposit Guide"

+c6260f83e86dd4d1ece92e528422ecc6e36c13ef,Siamese networks for generating adversarial examples,"Siamese networks for generating adversarial examples
+Mandar Kulkarni
+Data Scientist
+Schlumberger"

+c62c07de196e95eaaf614fb150a4fa4ce49588b4,SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation,Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18)

+c607572fd2594ca83f732c9790fd590da9e69eb1,Comparative Evaluation of Deep Architectures for Face Recognition in Unconstrained Environment ( FRUE ),"Comparative Evaluation of Deep Architectures for Face
+Recognition in Unconstrained Environment (FRUE)
+Deeksha Gupta
+Department of Computer Science and Applications,
+MCM DAV College for Women, Chandigarh, (India)"

+ec90d333588421764dff55658a73bbd3ea3016d2,Protocol for Systematic Literature Review of Face Recognition in Uncontrolled Environment,"Research Article
+Protocol for Systematic Literature Review of Face
+Recognition in Uncontrolled Environment
+Faizan Ullah, Sabir Shah, Dilawar Shah, Abdusalam, Shujaat Ali
+Department of Computer Science, Bacha Khan University, Charsadda, KPK, Pakistan"

+ec1e03ec72186224b93b2611ff873656ed4d2f74,D Reconstruction of “ Inthe-Wild ” Faces in Images and Videos,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+D Reconstruction of “In-the-Wild” Faces in
+Images and Videos
+James Booth, Anastasios Roussos, Evangelos Ververas, Epameinondas Anton-
+kos, Stylianos Ploumpis, Yannis Panagakis, and Stefanos Zafeiriou"

+ec89c5f2f5acce23b0d05736cd9f32d4ca6dc382,Body Actions Change the Appearance of Facial Expressions,"Body Actions Change the Appearance of Facial
+Expressions
+Carlo Fantoni1,2*, Walter Gerbino1
+Department of Life Sciences, Psychology Unit ‘‘Gaetano Kanizsa’’, University of Trieste, Trieste, Italy, 2 Center for Neuroscience and Cognitive Istituto
+Italiano di Tecnologia, Rovereto, Italy"

+ec9e8d69b67bcb2814b538091fa288b6bdbb990f,GURLS: a Toolbox for Regularized Least Squares Learning,"Computer Science and ArtificialIntelligence LaboratoryTechnical Reportmassachusetts institute of technology, cambridge, ma 02139 usa — www.csail.mit.eduMIT-CSAIL-TR-2012-003CBCL-306January 31, 2012GURLS: a Toolbox for Regularized Least Squares LearningAndrea Tacchetti, Pavan S. Mallapragada, Matteo Santoro, and Lorenzo Rosasco"

+ece31d41b4da5457d570c04d22f19fcd026776b6,Learning Deep Disentangled Embeddings with the F-Statistic Loss,"Learning Deep Disentangled Embeddings
+With the F-Statistic Loss
+Karl Ridgeway
+University of Colorado
+Boulder, Colorado
+Department of Computer Science
+Department of Computer Science
+Michael C. Mozer
+University of Colorado
+Boulder, Colorado"

+ec2027c2dd93e4ee8316cc0b3069e8abfdcc2ecf,Latent Variable PixelCNNs for Natural Image Modeling,"Latent Variable PixelCNNs for Natural Image Modeling
+Alexander Kolesnikov 1 Christoph H. Lampert 1"

+ec7a545ba99542b2b74340d2e863590e4f450bb7,Sparse Subspace Clustering by Orthogonal Matching Pursuit,"Sparse Subspace Clustering by Orthogonal Matching Pursuit
+Center for Imaging Science, Johns Hopkins University, Baltimore, MD, 21218, USA
+Chong You
+nd Ren´e Vidal"

+ec443db55db1a6721387b2054b94f6df020994ae,Weakly Supervised Visual Dictionary Learning by Harnessing Image Attributes,"Weakly Supervised Visual Dictionary Learning
+y Harnessing Image Attributes
+Yue Gao, Senior Member, IEEE, Rongrong Ji, Senior Member, IEEE, Wei Liu, Member, IEEE,
+Qionghai Dai, Senior Member, IEEE, and Gang Hua, Senior Member, IEEE"

+ec25f39fa6b4ef4529981a1ae051086e93642d27,Deformable Part Models are Convolutional Neural Networks Tech report,"Deformable Part Models are Convolutional Neural Networks
+Tech report
+Ross Girshick Forrest Iandola Trevor Darrell
+Jitendra Malik
+UC Berkeley"

+ec12f805a48004a90e0057c7b844d8119cb21b4a,Distance-Based Descriptors and Their Application in the Task of Object Detection,"Distance-Based Descriptors and Their
+Application in the Task of Object Detection
+Radovan Fusek(B) and Eduard Sojka
+Department of Computer Science, Technical University of Ostrava, FEECS,
+7. Listopadu 15, 708 33 Ostrava-Poruba, Czech Republic"

+eca9b9dd665556423278b85f79e1d589009a7ea7,Person Re-Identi fi cation by Robust Canonical Correlation Analysis,"IEEE SIGNAL PROCESSING LETTERS, VOL. 22, NO. 8, AUGUST 2015
+Person Re-Identification by Robust
+Canonical Correlation Analysis
+Le An, Songfan Yang, Member, IEEE, and Bir Bhanu, Fellow, IEEE"

+ecf2ba5ea183a6be63b57543a19dd41e8017daaf,Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching,"Cooperative Learning of Energy-Based Model and Latent Variable Model via
+MCMC Teaching
+Jianwen Xie 1,2, Yang Lu 1,3, Ruiqi Gao 1, Ying Nian Wu 1
+Department of Statistics, University of California, Los Angeles, USA
+Hikvision Research America
+Amazon RSML (Retail System Machine Learning) Group"

+ec1223c8fc16751dd577d3418f61d44a139c7dc3,Group Influences on Engaging Self-Control: Children Delay Gratification and Value It More When Their In-Group Delays and Their Out-Group Doesn't.,"RUNNING HEAD: GROUP INFLUENCES ON SELF-CONTROL
+Group Influences on Engaging Self-control: Children Delay Gratification and Value It More
+When Their In-Group Delays and Their Out-Group Doesn’t
+Sabine Doebel* and Yuko Munakata
+Department of Psychology and Neuroscience, University of Colorado Boulder
+*Corresponding author"

+ecd0a2e55f456b69243d1278fee15d8dbfc98c28,Heterogeneous Multicores: When Slower is Faster,"Heterogeneous Multicores: When Slower is Faster
+Tomas Hruby
+Herbert Bos
+The Network Institute, VU University Amsterdam
+Andrew S. Tanenbaum"

+ecc09ab9c61dc3a3a15f55332f63bccbf443f291,Cross-Domain Deep Face Matching for Real Banking Security Systems,"Cross-Domain Deep Face Matching for Real
+Banking Security Systems
+Johnatan S. Oliveira1,∗, Gustavo B. Souza2,∗, Anderson R. Rocha3, Fl´avio E. Deus1 and Aparecido N. Marana4
+Department of Electrical Engineering, University of Bras´ılia (UnB), Bras´ılia, Brazil.
+Department of Computing, Federal University of S˜ao Carlos (UFSCar), S˜ao Carlos, Brazil.
+Institute of Computing, University of Campinas (Unicamp), Campinas, Brazil.
+Department of Computing, S˜ao Paulo State University (Unesp), Bauru, Brazil.
+E-mails: {jow,
+Equal contributors."

+ec54000c6c0e660dd99051bdbd7aed2988e27ab8,Two in One: Joint Pose Estimation and Face Recognition with Pca,"TWO IN ONE: JOINT POSE ESTIMATION AND FACE RECOGNITION WITH P2CA1
+Francesc Tarres*, Antonio Rama*
+{tarres,
+Davide Onofrio+, Stefano Tubaro+
+{d.onofrio,
+*Dept. Teoria del Senyal i Comunicacions - Universitat Politècnica de Catalunya, Barcelona, Spain
++Dipartimento di Elettronica e Informazione - Politecnico di Milano, Meiland, Italy"

+ecf4690ddd3ad26f9cd1749d16ef1aa06d391f92,Does Exposure to Hostile Environments Predict Enhanced Emotion Detection?,"PDF hosted at the Radboud Repository of the Radboud University
+Nijmegen
+The following full text is a publisher's version.
+For additional information about this publication click this link.
+http://hdl.handle.net/2066/191999
+Please be advised that this information was generated on 2018-06-28 and may be subject to
+hange."

+ecdf8e5393eead0b63c5bc4fbe426db5a70574eb,Linear Subspace Learning for Facial Expression Analysis,"Linear Subspace Learning for
+Facial Expression Analysis
+Caifeng Shan
+Philips Research
+The Netherlands
+. Introduction
+Facial  expression,  resulting  from  movements  of  the  facial  muscles,  is  one  of  the  most
+powerful, natural, and immediate means for human beings to communicate their emotions
+nd intentions. Some examples of facial expressions are shown in Fig. 1. Darwin (1872) was
+the  first  to  describe  in  detail  the  specific  facial  expressions  associated  with  emotions  in
+nimals  and  humans;  he  argued  that  all  mammals  show  emotions  reliably  in  their  faces.
+Psychological  studies  (Mehrabian,  1968;  Ambady  &  Rosenthal,  1992)  indicate  that  facial
+expressions, with other non-verbal cues, play a major and fundamental role in face-to-face
+ommunication.
+Fig. 1. Facial expressions of George W. Bush.
+Machine  analysis  of  facial  expressions,  enabling  computers  to  analyze  and  interpret  facial
+expressions  as  humans  do,  has  many  important  applications  including  intelligent  human-
+omputer  interaction,  computer  animation,  surveillance  and  security,  medical  diagnosis,
+law  enforcement,  and  awareness  system  (Shan,  2007).  Driven  by  its  potential  applications
+nd  theoretical  interests  of  cognitive  and  psychological  scientists,  automatic  facial"

+ec6855acd0871d3e000872a5dd89db97c1554e18,Contrasting emotion processing and executive functioning in attention-deficit/hyperactivity disorder and bipolar disorder.,"016, Vol. 130, No. 5, 531–543
+0735-7044/16/$12.00
+© 2016 American Psychological Association
+http://dx.doi.org/10.1037/bne0000158
+Contrasting Emotion Processing and Executive Functioning in
+Attention-Deficit/Hyperactivity Disorder and Bipolar Disorder
+Stephen Soncin, Donald C. Brien, and Brian C. Coe
+Queen’s University
+Queen’s University and Hotel Dieu Hospital, Kingston,
+Alina Marin
+Ontario, Canada
+Douglas P. Munoz
+Queen’s University
+Attention-deficit/hyperactivity disorder (ADHD) and bipolar disorder (BD) are highly comorbid and
+share executive function and emotion processing deficits, complicating diagnoses despite distinct clinical
+features. We compared performance on an oculomotor task that assessed these processes to capture subtle
+differences between ADHD and BD. The interaction between emotion processing and executive func-
+tioning may be informative because, although these processes overlap anatomically, certain regions that
+re compromised in each network are different in ADHD and BD. Adults, aged 18 – 62, with ADHD (n ⫽
+2), BD (n ⫽ 20), and healthy controls (n ⫽ 21) performed an interleaved pro- and antisaccade task"

+ec4af4a6e89d61c05dcdf89f7f5d0a404bed4027,Bodily action penetrates affective perception.,"Bodily action penetrates affective
+perception
+Carlo Fantoni, Sara Rigutti and Walter Gerbino
+Department of Life Sciences, Psychology Unit “Gaetano Kanizsa,” University of Trieste, Trieste, Italy"

+ec0104286c96707f57df26b4f0a4f49b774c486b,An Ensemble CNN2ELM for Age Estimation,"An Ensemble CNN2ELM for Age Estimation
+Mingxing Duan , Kenli Li, Senior Member, IEEE, and Keqin Li, Fellow, IEEE"

+ecbaa92c289f4f5ff9a57b19a2725036a92311f5,Focused Evaluation for Image Description with Binary Forced-Choice Tasks,"Proceedings of the 5th Workshop on Vision and Language, pages 19–28,
+Berlin, Germany, August 12 2016. c(cid:13)2016 Association for Computational Linguistics"

+ec91c6d6235f31c751b03489d7b1d472dfc9da26,Face Database Retrieval Using Pseudo 2D Hidden Markov Models,"Face Database Retrieval Using Pseudo 2D Hidden Markov Models
+Fraunhofer Institute for Media Communication IMK
+Stefan Eickeler
+Schloss Birlinghoven
+53754 Sankt Augustin, Germany"

+ec3621e900cc50afd067584bb1246a8b4e338fa8,Structured Triplet Learning with POS-Tag Guided Attention for Visual Question Answering,"Structured Triplet Learning with POS-tag Guided Attention
+for Visual Question Answering
+Zhe Wang1 Xiaoyi Liu2 Liangjian Chen1 Limin Wang3 Yu Qiao4 Xiaohui Xie1 Charless Fowlkes1
+Dept. of CS, UC Irvine
+Microsoft
+CVL, ETH Zurich
+SIAT, CAS"

+ec7d418ddf95d231b2afc70ed8c94d0764abec61,Knowledge Transfer Using Latent Variable Models,"Copyright
+Ayan Acharya"

+4edc7f27d4512b69be54abfc6b9876e5b00725ab,Facial Expression Recognition using Convolutional Neural Networks: State of the Art,"Facial Expression Recognition using
+Convolutional Neural Networks: State of the Art
+Christopher Pramerdorfer, Martin Kampel
+Computer Vision Lab, TU Wien
+Vienna, Austria
+Email:"

+4e1d7bad6cde28e65b12c5824b1016859e1ae704,Enhanced Face Recognition Using Discrete Cosine Transform,"Enhanced Face Recognition Using Discrete
+Cosine Transform
+Zahraddeen Sufyanu, Member, IAENG, Fatma S. Mohamad, Abdulganiyu A. Yusuf, and Mustafa B.
+Mamat"

+4efb08fcd652c60764b6fd278cee132b71c612a1,Pixel Deconvolutional Networks,"PIXEL DECONVOLUTIONAL NETWORKS
+Hongyang Gao
+Washington State University
+Hao Yuan
+Washington State University
+Zhengyang Wang
+Washington State University
+Shuiwang Ji
+Washington State University"

+4e32fbb58154e878dd2fd4b06398f85636fd0cf4,A Hierarchical Matcher using Local Classifier Chains,"A Hierarchical Matcher using Local Classifier Chains
+L. Zhang and I.A. Kakadiaris
+Computational Biomedicine Lab, 4849 Calhoun Rd, Rm 373, Houston, TX 77204"

+4eca3e3c4876fc7ec81224d4ec2f159c9e7c72c3,Facial recognition using new LBP representations,

+4ea6954b47baec061fa3f3e1228833eba7be07f9,Multi-pseudo Regularized Label for Generated Data in Person Re-Identification.,"Multi-pseudo Regularized Label for Generated Data
+in Person Re-Identification
+Yan Huang, Jingsong Xu, Qiang Wu, Member, IEEE Zhedong Zheng, Zhaoxiang Zhang, Senior Member, IEEE
+nd Jian Zhang, Senior Member, IEEE"

+4ea53e76246afae94758c1528002808374b75cfa,A Review of Scholastic Examination and Models for Face Recognition and Retrieval in Video,"Lasbela, U. J.Sci. Techl., vol.IV , pp. 57-70, 2015
+Review ARTICLE
+A Review of Scholastic  Examination and  Models for Face Recognition
+ISSN 2306-8256
+nd Retrieval in Video
+Varsha Sachdeva1, Junaid Baber2, Maheen Bakhtyar2, Muzamil Bokhari3, Imran Ali4
+Department of Computer Science, SBK Women’s University, Quetta, Balochistan
+Department of CS and IT, University of Balochistan, Quetta
+Department of Physics, University of Balochistan, Quetta
+Institute of Biochemistry, University of Balochistan, Quetta"

+4e97b53926d997f451139f74ec1601bbef125599,Discriminative Regularization for Generative Models,"Discriminative Regularization for Generative Models
+Alex Lamb, Vincent Dumoulin and Aaron Courville
+Montreal Institute for Learning Algorithms, Universit´e de Montr´eal"

+4e5698894946680e4d6e766346355b2dc1959819,Cross-pose Facial Expression Recognition,Cross-pose Facial Expression Recognition

+4ec3c7fa51d823a43b3808c7c6baa2e153104bdf,Neuron Pruning for Compressing Deep Networks using Maxout Architectures,"Neuron Pruning for Compressing Deep
+Networks using Maxout Architectures
+Fernando Moya Rueda, Rene Grzeszick, Gernot A. Fink
+TU Dortmund University
+Department of Computer Science"

+4e27fec1703408d524d6b7ed805cdb6cba6ca132,SSD-Sface: Single shot multibox detector for small faces,"SSD-Sface: Single shot multibox detector for small faces
+C. Thuis"

+4e6c9be0b646d60390fe3f72ce5aeb0136222a10,Long-Term Temporal Convolutions for Action Recognition,"Long-term Temporal Convolutions
+for Action Recognition
+G¨ul Varol, Ivan Laptev, and Cordelia Schmid, Fellow, IEEE"

+4ec4392246a7760d189cd6ea48a81664cd2fe4bf,GPU Accelerated ACF Detector,

+4ebf84c6389e842e90c39850f0152671ba7fa0dc,Adversarial Attribute-Image Person Re-identification,"Adversarial Attribute-Image Person Re-identification
+Zhou Yin, Wei-Shi Zheng, Ancong Wu, Hong-Xing Yu, Hai Wan, Xiaowei Guo, Feiyue
+Huang, Jianhuang Lai
+For reference of this work, please cite:
+Adversarial Attribute-Image Person Re-identification
+Zhou Yin, Wei-Shi Zheng, Ancong Wu, Hong-Xing Yu, Hai Wan, Xiaowei Guo, Feiyue Huang, Jianhuang
+Lai, IJCAI, 2018
+title={Adversarial Attribute-Image Person Re-identification},
+uthor={Zhou Yin, Wei-Shi Zheng, Ancong Wu, Hong-Xing Yu, Hai Wan, Xiaowei Guo, Feiyue Huang,
+Jianhuang Lai},
+journal={ International Joint Conference on Artificial Intelligence},
+year={2018}"

+4e82908e6482d973c280deb79c254631a60f1631,Improving Efficiency and Scalability in Visual Surveillance Applications,

+4eaaefc53fd61d27b9ce310c188fe76003a341bd,Assessing Generative Models via Precision and Recall,"Assessing Generative Models via Precision and Recall
+Mehdi S. M. Sajjadi∗
+MPI for Intelligent Systems,
+Max Planck ETH Center
+for Learning Systems
+Olivier Bachem
+Google Brain
+Mario Lucic
+Google Brain
+Olivier Bousquet
+Google Brain
+Sylvain Gelly
+Google Brain"

+4eb0b82b294f601510cd965adcf0e8c386cbaf22,Face Detection for Augmented Reality Application Using Boosting-based Techniques,"Face Detection for Augmented Reality Application
+Using Boosting-based Techniques
+Youssef  Hbali1, Lahoucine Ballihi2, Mohammed  Sadgal1, El Fazziki Abdelaziz1
+Cadi Ayyad University. B.P. 2390, Avenue Prince My Abdellah, Marrakech, Morocco
+LRIT-CNRST URAC 29, Mohammed V University In Rabat, Faculty of Sciences Rabat, Morocco"

+4ed0be0b5d67cff63461ba79f2a7928d652cf310,Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey,"JOURNAL OF LATEX CLASS FILES, VOL. PP, AUGUST 2017
+Threat of Adversarial Attacks on Deep Learning
+in Computer Vision: A Survey
+ACKNOWLEDGEMENTS: The authors thank Nicholas Carlini (UC Berkeley) and Dimitris Tsipras (MIT) for feedback to improve the survey
+quality. We also acknowledge X. Huang (Uni. Liverpool), K. R. Reddy (IISC), E. Valle (UNICAMP), Y. Yoo (CLAIR) and others for providing pointers
+to make the survey more comprehensive. This research was supported by ARC grant DP160101458.
+Naveed Akhtar and Ajmal Mian"

+4e25cd4e40494aa5073fcfbef7506336b84152f4,"Independent Component Analysis, Principal Component Analysis and Rough Sets in Face Recognition","Independent Component Analysis, Principal
+Component Analysis and Rough Sets in Face
+Recognition
+Roman W. ´Swiniarski1 and Andrzej Skowron2
+Department of Mathematical and Computer Sciences
+San Diego State University
+5500 Campanile Drive San Diego, CA 92182, USA
+Institute of Computer Science, Polish Academy of Sciences
+Ordona 21, 01-237 Warsaw, Poland
+Institute of Mathematics, Warsaw University
+Banacha 2, 02-097 Warsaw, Poland"

+4e608c77043f56b0abfb2760fb2fd2516b5412b0,Spectral Face Recognition Using Orthogonal Subspace Bases,

+4ef0a6817a7736c5641dc52cbc62737e2e063420,Study of Face Recognition Techniques,"International Journal of Advanced Computer Research (ISSN (Print): 2249-7277   ISSN (Online): 2277-7970)
+Volume-4 Number-4 Issue-17 December-2014
+Study of Face Recognition Techniques
+Sangeeta Kaushik1*, R. B. Dubey2 and Abhimanyu Madan3
+Received: 10-November-2014; Revised: 18-December-2014; Accepted: 23-December-2014
+©2014 ACCENTS"

+4e71e03d4122aad182ad51ab187d4b55b41fc957,Clustering-Based Discriminant Analysis for Eye Detection,"Clustering-Based Discriminant Analysis
+for Eye Detection
+Shuo Chen and Chengjun Liu
+paper
+three
+proposes"

+4ee380e444063f9b948a2fd82e5c11b97a570ad1,Operating system support to an online hardware-software co-design scheduler for heterogeneous multicore architectures,"Universidade de São Paulo
+Biblioteca Digital da Produção Intelectual - BDPI
+Departamento de Sistemas de Computação - ICMC/SSC
+Comunicações em Eventos - ICMC/SSC
+014-08-20
+Operating system support to an online
+hardware-software co-design scheduler for
+heterogeneous multicore architectures
+IEEE International Conference on Embedded and Real-Time Computing Systems and Applications,
+0th, 2014, Chongqing.
+http://www.producao.usp.br/handle/BDPI/48567
+Downloaded from: Biblioteca Digital da Produção Intelectual - BDPI, Universidade de São Paulo"

+4e33798e364826af1241d28d57977bec9a579709,Active learning with version spaces for object detection,"Active learning with version spaces for object detection 1
+Soumya Roy 2
+Vinay P. Namboodiri 2
+Arijit Biswas 3"

+4eb22856671b9340e5ae532a021be62b9d31c9bc,The Minority Glass Ceiling Hypothesis: Exploring Reasons and Remedies for the Underrepresentation of Racial-ethnic Minorities in Leadership Positions,"THE MINORITY GLASS CEILING HYPOTHESIS:
+EXPLORING REASONS AND REMEDIES FOR THE
+UNDERREPRESENTATION OF RACIAL-ETHNIC MINORITIES IN
+LEADERSHIP POSITIONS
+Seval Gündemir"

+4e3c07283334a9b90dac011033fa2403bcf3c473,A novel feature selection method and its application,"J Intell Inf Syst (2013) 41:235–268
+DOI 10.1007/s10844-013-0243-x
+A novel feature selection method and its application
+Bing Li· Tommy W. S. Chow· Di Huang
+Received: 11 April 2012 / Revised: 8 March 2013 / Accepted: 11 March 2013 /
+Published online: 4 April 2013
+© Springer Science+Business Media New York 2013"

+4e613c9342d6e90f7af5fd3f246c6d82a33fe98d,Estimating Human Pose in Images,"Estimating Human Pose in Images
+Navraj Singh
+December 11, 2009
+Introduction
+This project attempts to improve the performance of an existing method of estimating the pose of humans in still images.
+Tasks such as object detection and classification have received much attention already in the literature. However, sometimes we are
+interested in more detailed aspects of objects like pose. This is a challenging task due to the large variety of poses an object can
+take in a variety of settings. For human pose estimation, aspects such as clothing, occlusion of body parts, etc. make the task even
+harder.
+The approaches taken up in the literature to solve this problem focus on either a top-down approach, bottom-up approach,
+or a hybrid of the two. The top-down approach involves comparing test images with stored examples of humans in various poses
+using some similarity measure. This approach might require a very large set of examples of human poses. The bottom-up approach,
+on the other hand, uses low level human body part detectors and in some manner assembles the information to predict the entire
+ody pose. This project attempts to build upon a mostly bottom-up approach, called LOOPS (Localizing Object Outlines using
+Probabilistic Shape), that was developed in [1] by G. Heitz, et al. in Prof. Daphne Koller's group. Specifically, we investigate the
+onstruction and incorporation of a skin detector into the LOOPS pipeline, and a couple of pairwise features in the appearance
+model.  The   overall   improvement   in   the   localization   is   negligible,   with   some   improvement   in   head   localization.  Since   the
+improvements considered are within the framework of LOOPS, a brief overview of the LOOPS method is discussed next.
+Brief Overview of the LOOPS method as applied to humans
+The main random variables defined in the LOOPS method, described in detail in [1], are the locations of a set of key"

+4ecd459aa4b4590bdc552e07b6d0bbe132fb1fcf,Learning of Graph Compressed Dictionaries for Sparse Representation Classification,"Learning of Graph Compressed Dictionaries for Sparse
+Representation Classification
+Farshad Nourbakhsh and Eric Granger
+Laboratoire d’imagerie de vision et d’intelligence artificielle
+´Ecole de technologie sup´erieure, Universit´e du Qu´ebec, Montr´eal, Canada
+Keywords:
+Matrix Factorization, Graph Compression, Dictionary Learning, Sparse Representation Classification,
+Clustering, Face Recognition, Video Surveillance"

+4ee87ed965e78adb1035a5322350afac9ca901f5,Multi-target tracking of time-varying spatial patterns,"Multi-Target Tracking of Time-varying Spatial Patterns
+Jingchen Liu1
+Yanxi Liu1,2
+Department of Computer Science and Engineering
+Department of Electrical Engineering
+The Pennsylvania State University
+University Park, PA 16802, USA
+{jingchen,"

+4e4a47e2d285e55f3d0b6d449d6b9893615db5cd,Use of l2/3-norm Sparse Representation for Facial Expression Recognition,"International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Impact Factor (2012): 3.358
+Use of ℓ2/3-norm Sparse Representation for Facial
+Expression Recognition
+Sandeep Rangari1, Sandeep Gonnade2
+MATS University, MATS School of Engineering and Technology, Arang, Raipur, India
+MATS University, MATS School of Engineering and Technology, Arang, Raipur, India
+three
+to  discriminate
+represents  emotion,"

+4e0e49c280acbff8ae394b2443fcff1afb9bdce6,Automatic Learning of Gait Signatures for People Identification,"Automatic learning of gait signatures for people identification
+F.M. Castro
+Univ. of Malaga
+fcastro<at>uma.es
+M.J. Mar´ın-Jim´enez
+Univ. of Cordoba
+mjmarin<at>uco.es
+N. Guil
+Univ. of Malaga
+nguil<at>uma.es
+N. P´erez de la Blanca
+Univ. of Granada
+nicolas<at>ugr.es"

+4e61f3dc6aa7994613a3708e823aadd478c73f5f,Generating Discriminative Object Proposals via Submodular Ranking,"Generating Discriminative Object Proposals via Submodular Ranking
+Yangmuzi Zhang∗, Zhuolin Jiang†, Xi Chen∗, and Larry S. Davis∗
+University of Maryland at College Park, MD
+Raytheon BBN Technologies, USA
+Email:"

+4eb600aa4071b9a73da49e5374d6e22ca46eaba6,Understanding bag-of-words model: a statistical framework,"Noname manuscript No.
+(will be inserted by the editor)
+Understanding Bag-of-Words Model: A Statistical Framework
+Yin Zhang ⋅ Rong Jin ⋅ Zhi-Hua Zhou
+Received: date / Accepted: date"

+4e8206dd2e163c6a139bfd0ec3adf410e7b78c4a,A Multi-scale Boosted Detector for Efficient and Robust Gesture Recognition,"A Multi-scale Boosted Detector for Ef‌f‌icient and
+Robust Gesture Recognition
+Camille Monnier, Stan German, Andrey Ost
+Charles River Analytics
+Cambridge, MA, USA"

+4e12080616da4b540c8f79db2dd1b654cd8345ce,Pose-Driven Deep Models for Person Re-Identification,"Pose-Driven Deep Models for Person
+Re-Identification
+Masters thesis of
+Andreas Eberle
+At the faculty of Computer Science
+Institute for Anthropomatics and Robotics
+Reviewer:
+Second reviewer:
+Advisors:
+Prof. Dr.-Ing. Rainer Stiefelhagen
+Prof. Dr.-Ing. Jürgen Beyerer
+Dr.-Ing. Saquib Sarfraz
+Dipl.-Inform. Arne Schumann
+Duration: 31. August 2017 –
+8. February 2018
+KIT – University of the State of Baden-Wuerttemberg and National Laboratory of the Helmholtz Association
+www.kit.edu"

+20a432a065a06f088d96965f43d0055675f0a6c1,The Effects of Regularization on Learning Facial Expressions with Convolutional Neural Networks,"In: Proc. of the 25th Int. Conference on Artificial Neural Networks (ICANN)
+Part II, LNCS 9887, pp. 80-87, Barcelona, Spain, September 2016
+The final publication is available at Springer via
+http://dx.doi.org//10.1007/978-3-319-44781-0_10
+The Effects of Regularization on Learning Facial
+Expressions with Convolutional Neural Networks
+Tobias Hinz, Pablo Barros, and Stefan Wermter
+University of Hamburg Department of Computer Science,
+Vogt-Koelln-Strasse 30, 22527 Hamburg, Germany
+http://www.informatik.uni-hamburg.de/WTM"

+20a3ce81e7ddc1a121f4b13e439c4cbfb01adfba,Sparse-MVRVMs Tree for Fast and Accurate Head Pose Estimation in the Wild,"Sparse-MVRVMs Tree for Fast and Accurate
+Head Pose Estimation in the Wild
+Mohamed Selim, Alain Pagani, and Didier Stricker
+Augmented Vision Research Group,
+German Research Center for Artificial Intelligence (DFKI),
+Tripstaddterstr. 122, 67663 Kaiserslautern, Germany
+Technical University of Kaiserslautern
+http://www.av.dfki.de"

+2057837e059a1dde8c6c4c0587e652b79c04780a,Learning to Recognize Novel Objects in One Shot through Human-Robot Interactions in Natural Language Dialogues,"Learning to Recognize Novel Objects in One Shot through Human-Robot
+Interactions in Natural Language Dialogues
+Thomas Williams
+Matthias Scheutz
+Evan Krause
+HRI Laboratory
+Tufts University
+00 Boston Ave
+Medford, MA 02155, USA
+Michael Zillich
+Inst. for Automation and Control
+Technical University Vienna
+Gusshausstr 27-29/E376
+040 Vienna, Austria
+HRI Laboratory
+Tufts University
+00 Boston Ave
+HRI Laboratory
+Tufts University
+00 Boston Ave"

+2004afb2276a169cdb1f33b2610c5218a1e47332,Deep Convolutional Neural Network Used in Single Sample per Person Face Recognition,"Hindawi
+Computational Intelligence and Neuroscience
+Volume 2018, Article ID 3803627, 11 pages
+https://doi.org/10.1155/2018/3803627
+Research Article
+Deep Convolutional Neural Network Used in Single Sample per
+Person Face Recognition
+Junying Zeng , Xiaoxiao Zhao , Junying Gan , Chaoyun Mai
+nd Fan Wang
+, Yikui Zhai,
+School of Information Engineering, Wuyi University, Jiangmen 529020, China
+Correspondence should be addressed to Xiaoxiao Zhao;
+Received 27 November 2017; Revised 23 May 2018; Accepted 26 July 2018; Published 23 August 2018
+Academic Editor: Jos´e Alfredo Hern´andez-P´erez
+Copyright © 2018 Junying Zeng et al. 0is is an open access article distributed under the Creative Commons Attribution License,
+which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
+Face recognition (FR) with single sample per person (SSPP) is a challenge in computer vision. Since there is only one sample to be
+trained, it makes facial variation such as pose, illumination, and disguise dif‌f‌icult to be predicted. To overcome this problem, this paper
+proposes a scheme combined traditional and deep learning (TDL) method to process the task. First, it proposes an expanding sample
+method based on traditional approach. Compared with other expanding sample methods, the method can be used easily and"

+2084e54505cfe4fd81005167b1b11d10b5f837d1,Person Re-Identification by Discriminative Selection in Video,"Person Re-Identification by Discriminative Selection in Video Ranking
+Wang, T; Gong, S; Zhu, X; Wang, S
+•(cid:9)“The final publication is available at http://link.springer.com/chapter/10.1007%2F978-3-319-
+0593-2_45”
+For additional information about this publication click this link.
+http://qmro.qmul.ac.uk/xmlui/handle/123456789/11432
+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"

+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"

+20a052963f2c46aff817f34a09c396c44b3e46da,Visually Grounded Meaning Representations,"Visually Grounded Meaning Representations
+Carina Silberer, Member, IEEE, Vittorio Ferrari, Member, IEEE, Mirella Lapata, Member, IEEE"

+20e783a2df0486cd1c8b6b59fc76220f5718b304,Stereo-based Pedestrian Detection Using Two-stage Classifiers,"4-26
+MVA2011 IAPR Conference on Machine Vision Applications, June 13-15, 2011, Nara, JAPAN
+Stereo-based Pedestrian Detection Using Two-stage Classifiers
+Manabu Nishiyama, Akihito Seki, Tomoki Watanabe
+Corporate Research and Development Center, Toshiba Corporation
+, Komukai-Toshiba-cho, Saiwai-ku, Kawasaki, 212-8582, Japan"

+202cbc83c22a9c7b3d878cc1bed1c5cf152eb6fb,Learning Embeddings for Product Visual Search with Triplet Loss and Online Sampling,"Learning Embeddings for Product Visual Search with
+Triplet Loss and Online Sampling
+Eric Dodds, Huy Nguyen, Simao Herdade, Jack Culpepper, Andrew Kae, Pierre Garrigues
+{eric.mcvoy.dodds, huyng, sherdade, jackcul, andrewkae,
+Yahoo Research"

+208e903211ddc62b997afb5a1bd3c2c43e0e69ee,Real-Time Action Detection in Video Surveillance using Sub-Action Descriptor with Multi-CNN,"Real-Time Action Detection in Video Surveillance using Sub-Action
+Descriptor with Multi-CNN
+Cheng-Bin Jin*, Shengzhe Li†, and Hakil Kim*
+*Inha University, Incheon, Korea
+Visionin Inc., Incheon, Korea"

+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"

+202d8d93b7b747cdbd6e24e5a919640f8d16298a,Face Classification via Sparse Approximation,"Face Classification via Sparse Approximation
+Elena Battini S˝onmez1, Bulent Sankur2 and Songul Albayrak3
+Computer Science Department, Bilgi University, Dolapdere, Istanbul, TR
+Electric and Electronic Engineering Department, Bo¯gazici University, Istanbul, TR
+Computer Engineering Department, Yıldız Teknik University, Istanbul, TR"

+205b34b6035aa7b23d89f1aed2850b1d3780de35,Log-domain polynomial filters for illumination-robust face recognition,"014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP)
+978-1-4799-2893-4/14/$31.00 ©2014 IEEE
+Shenzhen Key Lab. of Information Sci&Tech,
+♯Nagaoka University of Technology, Japan
+RECOGNITION
+. INTRODUCTION"

+200f68f899f0bf72dd2c49ba2b4a5027e0291531,Efficient Activity Detection in Untrimmed Video with Max-Subgraph Search,"Efficient Activity Detection in Untrimmed Video
+with Max-Subgraph Search
+Chao Yeh Chen and Kristen Grauman"

+20e64f44ce2977a4dc5099fce6f73842613f0865,"Ridge Regression, Hubness, and Zero-Shot Learning","Ridge Regression, Hubness, and Zero-Shot Learning(cid:63)
+Yutaro Shigeto1, Ikumi Suzuki2, Kazuo Hara3, Masashi Shimbo1, and
+Yuji Matsumoto1
+Nara Institute of Science and Technology, Ikoma, Nara, Japan
+The Institute of Statistical Mathematics, Tachikawa, Tokyo, Japan
+National Institute of Genetics, Mishima, Shizuoka, Japan"

+2049ca79ce94ddfe0cc3d39bf770f580a740f3ac,Activity analysis : finding explanations for sets of events,ActivityAnalysis:FindingExplanationsforSetsofEventsbyDimaJamalAlDamenSubmittedinaccordancewiththerequirementsforthedegreeofDoctorofPhilosophy.TheUniversityofLeedsSchoolofComputingSeptember2009Thecandidateconfirmsthattheworksubmittedisherownandthattheappropriatecredithasbeengivenwherereferencehasbeenmadetotheworkofothers.Thiscopyhasbeensuppliedontheunderstandingthatitiscopyrightmaterialandthatnoquotationfromthethesismaybepublishedwithoutproperacknowledgement.

+20a6de85d7d5f445dfaba90ab2e33879142023fc,Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practice,"THIS WORK HAS BEEN SUBMITTED TO THE IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS.
+Autonomous Vehicles that Interact with Pedestrians:
+A Survey of Theory and Practice
+Amir Rasouli and John K. Tsotsos"

+20f9a09defe5b02b98c464ca6df36b3b6358f60b,The State-of-the-Art in Visual Object Tracking,Volume 36 Number 3 September 2012

+20c59a55795eaa4f2629cc83fb556dc8c5bcfc1f,Modeling and visual recognition of human actions and interactions,"Modeling and visual recognition of human actions and
+interactions
+Ivan Laptev
+To cite this version:
+Ivan Laptev. Modeling and visual recognition of human actions and interactions. Computer Vision and
+Pattern Recognition [cs.CV]. Ecole Normale Supérieure de Paris - ENS Paris, 2013. <tel-01064540>
+HAL Id: tel-01064540
+https://tel.archives-ouvertes.fr/tel-01064540
+Submitted on 16 Sep 2014
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de
+recherche français ou étrangers, des laboratoires"

+20e210bb6b1d3e637e2b2674aeead3fad8c2c70e,Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer,"Published as a conference paper at ICLR 2017
+PAYING MORE ATTENTION TO ATTENTION:
+IMPROVING THE PERFORMANCE OF CONVOLUTIONAL
+NEURAL NETWORKS VIA ATTENTION TRANSFER
+Sergey Zagoruyko, Nikos Komodakis
+Universit´e Paris-Est, ´Ecole des Ponts ParisTech
+Paris, France"

+20e903faf8e2e656a89d983541b15f2e0d614eeb,Image to Image Translation for Domain Adaptation,"Image to Image Translation for Domain Adaptation
+Zak Murez1,2
+Soheil Kolouri2 David Kriegman1 Ravi Ramamoorthi1 Kyungnam Kim2
+University of California, San Diego; 2 HRL Laboratories, LLC;"

+200f1a55c5974c4cac243bed3131ac5a9338840d,Human Computation for Object Detection,"May 09, 2013
+TR Number: UCSC-SOE-15-03
+Human Computation for Object Detection
+Rajan Vaish1, Sascha T. Ishikawa1, Sheng Lundquist2, Reid Porter2, James Davis1
+University of California at Santa Cruz1, Los Alamos National Laboratory2
+{rvaish, stishika,  {slundquist,"

+204db062f4952ce446cbb28fbc40d4a7f4424b03,Systematic evaluation of super-resolution using classification,"SYSTEMATIC EVALUATION OF
+SUPER-RESOLUTION USING CLASSIFICATION
+Vinay P. Namboodiri1, Vincent De Smet1 and Luc Van Gool1,2
+ESAT-PSI/IBBT, K.U.Leuven, Belgium
+Computer Vision Laboratory, BIWI/ETH Z¨urich, Switzerland"

+203fcd66c043e44fefd783b8f54105f0a577fc25,Analyzing Content and Customer Engagement in Social Media with Deep Learning,"Analyzing Content and Customer Engagement in
+Social Media with Deep Learning
+(The bulk of this work was done by a student.)"

+20f272f4bdf562aa8b4dae84b67cfafa34a00738,Periocular biometrics: An emerging technology for unconstrained scenarios,"Periocular Biometrics:
+An Emerging Technology for Unconstrained
+Scenarios
+Gil Santos and Hugo Proenc¸a
+IT - Instituto de Telecomunicac¸ ˜oes
+Universidade da Beira Interior
+Covilh˜a, Portugal
+Email:"

+20100323ec5c32ae91add8e866d891a78f1a2bbe,Unsupervised Object Discovery and Tracking in Video Collections,"Unsupervised Object Discovery and Tracking in Video Collections
+Suha Kwak1,∗
+Minsu Cho1,∗
+Ivan Laptev1,∗
+Jean Ponce2,∗
+Cordelia Schmid1,†
+Inria
+´Ecole Normale Sup´erieure / PSL Research University"

+20717f1cb12ab208458c0f2505b237d8f061f97a,Learning Classifiers from Synthetic Data Using a Multichannel Autoencoder,"Learning Classifiers from Synthetic Data Using a
+Multichannel Autoencoder
+Xi Zhang, Yanwei Fu, Andi Zang, Leonid Sigal, Gady Agam"

+2067ab35379381f05acaa7406a30d0ee02c0b8cc,Directional Statistics-based Deep Metric Learning for Image Classification and Retrieval,"Directional Statistics-based Deep Metric Learning
+for Image Classification and Retrieval
+Xuefei Zhe, Shifeng Chen, and Hong Yan, Fellow, IEEE"

+2059d2fecfa61ddc648be61c0cbc9bc1ad8a9f5b,Co-Localization of Audio Sources in Images Using Binaural Features and Locally-Linear Regression,"TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 23, NO. 4, APRIL 2015
+Co-Localization of Audio Sources in Images Using
+Binaural Features and Locally-Linear Regression
+Antoine Deleforge∗ Radu Horaud∗ Yoav Y. Schechner‡ Laurent Girin∗†
+INRIA Grenoble Rhˆone-Alpes, Montbonnot Saint-Martin, France
+Univ. Grenoble Alpes, GIPSA-Lab, France
+Dept. Electrical Eng., Technion-Israel Inst. of Technology, Haifa, Israel"

+20b8a76e988e796f0f225876a69842f6839e4c98,Real-time Gender Recognition for Uncontrolled Environment of Real-life Images,"REAL-TIME GENDER RECOGNITION FOR UNCONTROLLED
+ENVIRONMENT OF REAL-LIFE IMAGES
+Duan-Yu Chen and Kuan-Yi Lin
+Department of Electrical Engineering, Yuan-Ze University, Taiwan
+Keywords:
+Gender recognition, Uncontrolled environment, Real-life images."

+202a923504ea81e94c06a81581539b893b461ee5,YELP: masking sound-based opportunistic attacks in zero-effort deauthentication,"YELP: Masking Sound-based Opportunistic A(cid:130)acks in
+Zero-E(cid:128)ort Deauthentication
+University of Alabama at Birmingham
+University of Alabama at Birmingham
+University of Alabama at Birmingham
+Prakash Shrestha
+S Abhishek Anand
+Nitesh Saxena"

+20111924fbf616a13d37823cd8712a9c6b458cd6,Linear Regression Line based Partial Face Recognition,"International Journal of Computer Applications (0975 – 8887)
+Volume 130 – No.11, November2015
+Linear Regression Line based Partial Face Recognition
+Naveena M.
+Department of Studies in
+Computer Science,
+Manasagagothri,
+Mysore.
+G. Hemantha Kumar
+Department of Studies in
+Computer Science,
+Manasagagothri,
+Mysore.
+P. Nagabhushan
+Department of Studies in
+Computer Science,
+Manasagagothri,
+Mysore.
+images.  In"

+2056ba48e687d619c0ce69d0be323d48c5b90701,Similarity Mapping with Enhanced Siamese Network for Multi-Object Tracking,"Similarity Mapping with Enhanced Siamese Network
+for Multi-Object Tracking
+Minyoung Kim
+Cupertino, CA
+Stefano Alletto
+Modena, MO
+Panasonic Silicon Valley Laboratory
+University of Modena and Reggio Emilia
+Panasonic Silicon Valley Laboratory
+Luca Rigazio
+Cupertino, CA"

+20eaa3ebe2b6e1aff7c4585733c9fb0cfc941919,Image similarity using Deep CNN and Curriculum Learning,"Image similarity using Deep CNN and Curriculum Learning
+Srikar Appalaraju
+Vineet Chaoji
+Amazon Development Centre (India) Pvt. Ltd.
+Image similarity involves fetching similar looking images given a reference image. Our solution called SimNet, is a deep
+Siamese network which is trained on pairs of positive and negative images using a novel online pair mining strategy inspired
+y Curriculum learning. We also created a multi-scale CNN, where the final image embedding is a joint representation of
+top as well as lower layer embedding’s. We go on to show that this multi-scale Siamese network is better at capturing fine
+grained image similarities than traditional CNN’s.
+Keywords — Multi-scale CNN, Siamese network, Curriculum learning, Transfer learning.
+I.  INTRODUCTION
+The  ability  to  find  a  similar  set  of  images  for  a  given
+image  has  multiple  uses-cases  from  visual  search  to
+duplicate  product  detection  to  domain  specific  image
+lustering. Our approach called SimNet, tries to identify
+similar images for a new image using multi-scale Siamese
+network. Fig. 1 shows examples of image samples from
+CIFAR10 [39] on which SimNet is trained on.
+Fig. 1 examples of CIFAR 10 images. Task is - given a new image
+ut belonging to one of the 10 categories, find similar set of images."

+20532b1f80b509f2332b6cfc0126c0f80f438f10,A Deep Matrix Factorization Method for Learning Attribute Representations,"A deep matrix factorization method for learning
+ttribute representations
+George Trigeorgis, Konstantinos Bousmalis, Student Member, IEEE, Stefanos Zafeiriou, Member, IEEE
+Bj¨orn W. Schuller, Senior member, IEEE"

+205af28b4fcd6b569d0241bb6b255edb325965a4,Facial expression recognition and tracking for intelligent human-robot interaction,"Intel Serv Robotics (2008) 1:143–157
+DOI 10.1007/s11370-007-0014-z
+SPECIAL ISSUE
+Facial expression recognition and tracking for intelligent human-robot
+interaction
+Y. Yang · S. S. Ge · T. H. Lee · C. Wang
+Received: 27 June 2007 / Accepted: 6 December 2007 / Published online: 23 January 2008
+© Springer-Verlag 2008"

+20928315086a49e0cdea0ec66f2e78e9c564f794,Person Detection for Indoor Videosurveillance Using Spatio-temporal Integral Features,"Person Detection for Indoor Videosurveillance
+using Spatio-Temporal Integral Features
+Adrien Descamps1, Cyril Carincotte2, and Bernard Gosselin1
+TCTS Lab, University of Mons, Mons, Belgium
+Multitel ASBL, 2 Rue Pierre et Marie Curie, Mons, Belgium"

+203abfcc3df8de6606cf34fa32cf225627f52d00,Learning Robot Vision for Assisted Living,"Robotic Vision:
+Technologies for Machine
+Learning and Vision Applications
+José García-Rodríguez
+University of Alicante, Spain
+Miguel Cazorla
+University of Alicante, Spain"

+20260d36506911e04ad1efed1e60b06bfc178d52,Deep 3D face identification,"Deep 3D Face Identification
+Donghyun Kim
+Matthias Hernandez
+Jongmoo Choi
+G´erard Medioni
+USC Institute for Robotics and Intelligent Systems (IRIS)
+Unversity of Southern California
+{kim207, mthernan, jongmooc,"

+20a0b23741824a17c577376fdd0cf40101af5880,Learning to Track for Spatio-Temporal Action Localization,"Learning to track for spatio-temporal action localization
+Philippe Weinzaepfela
+Zaid Harchaouia,b
+NYU
+Inria∗
+Cordelia Schmida"

+18bca470bf51f5cc42148cd7e34fa58280be8eb2,Face Expressional Recognition using Geometry and Behavioral Traits,"IJCSNS International Journal of Computer Science and Network Security, VOL.9 No.8, August 2009
+Face Expressional Recognition using Geometry and Behavioral
+Traits
+J. K. Kani Mozhi, Sr. Lect / Dept. of MCA, K. S. Rangasamy College of Technology, Tiruchengode. India.
+J. K. Kani Mozhi 1 and Dr. R. S. D. Wahida Banu 2
+Dr. R. S. D. Wahida Banu, Prof. & Head / Dept. of ECE, Govt. College of Engg., Salem, India.
+recognition"

+18c72175ddbb7d5956d180b65a96005c100f6014,From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 23, NO. 6,
+JUNE 2001
+From Few to Many: Illumination Cone
+Models for Face Recognition under
+Variable Lighting and Pose
+Athinodoros S. Georghiades, Student Member, IEEE, Peter N. Belhumeur, Member, IEEE, and
+David J. Kriegman, Senior Member, IEEE"

+18636347b8741d321980e8f91a44ee054b051574,Facial marks: Soft biometric for face recognition,"978-1-4244-5654-3/09/$26.00 ©2009 IEEE
+ICIP 2009"

+18ab703c9959fbea7ad253a4062eb705b245552c,Efficient trajectory extraction and parameter learning for data-driven crowd simulation,"Efficient Trajectory Extraction and Parameter Learning for Data-Driven
+Crowd Simulation
+Aniket Bera∗
+Sujeong Kim†
+Dinesh Manocha‡
+The University of North Carolina at Chapel Hill"

+181045164df86c72923906aed93d7f2f987bce6c,Rheinisch-westfälische Technische Hochschule Aachen,"RHEINISCH-WESTFÄLISCHE TECHNISCHE
+HOCHSCHULE AACHEN
+KNOWLEDGE-BASED SYSTEMS GROUP
+PROF. GERHARD LAKEMEYER, PH. D.
+Detection and Recognition of Human
+Faces using Random Forests for a
+Mobile Robot
+MASTER OF SCIENCE THESIS
+VAISHAK BELLE
+MATRICULATION NUMBER: 26 86 51
+SUPERVISOR:
+SECOND SUPERVISOR:
+PROF. GERHARD LAKEMEYER, PH. D.
+PROF. ENRICO BLANZIERI, PH. D.
+ADVISERS:
+STEFAN SCHIFFER, THOMAS DESELAERS"

+18d5b0d421332c9321920b07e0e8ac4a240e5f1f,Collaborative Representation Classification Ensemble for Face Recognition,"Collaborative Representation Classification
+Ensemble for Face Recognition
+Xiao Chao Qu, Suah Kim, Run Cui and Hyoung Joong Kim"

+18269fcaba9feba85552b039a9052cd67e6d9c8b,Emotional facial sensing and multimodal fusion in a continuous 2D affective space,"J Ambient Intell Human Comput (2012) 3:31–46
+DOI 10.1007/s12652-011-0087-6
+O R I G I N A L R E S E A R C H
+Emotional facial sensing and multimodal fusion in a continuous
+D affective space
+Eva Cerezo • Isabelle Hupont • Sandra Baldassarri •
+Sergio Ballano
+Received: 3 February 2011 / Accepted: 24 September 2011 / Published online: 30 October 2011
+Ó Springer-Verlag 2011"

+18ccd8bd64b50c1b6a83a71792fd808da7076bc9,Object detection and segmentation from joint embedding of parts and pixels,"Object Detection and Segmentation
+from Joint Embedding of Parts and Pixels
+Michael Maire1, Stella X. Yu2, Pietro Perona1
+California Institute of Technology - Pasadena, CA 91125
+Boston College - Chestnut Hill, MA 02467"

+18d51a366ce2b2068e061721f43cb798177b4bb7,Looking into your eyes: observed pupil size influences approach-avoidance responses.,"Cognition and Emotion
+ISSN: 0269-9931 (Print) 1464-0600 (Online) Journal homepage: http://www.tandfonline.com/loi/pcem20
+Looking into your eyes: observed pupil size
+influences approach-avoidance responses
+Marco Brambilla, Marco Biella & Mariska E. Kret
+To cite this article: Marco Brambilla, Marco Biella & Mariska E. Kret (2018): Looking into your
+eyes: observed pupil size influences approach-avoidance responses, Cognition and Emotion, DOI:
+0.1080/02699931.2018.1472554
+To link to this article:  https://doi.org/10.1080/02699931.2018.1472554
+View supplementary material
+Published online: 11 May 2018.
+Submit your article to this journal
+View related articles
+View Crossmark data
+Full Terms & Conditions of access and use can be found at
+http://www.tandfonline.com/action/journalInformation?journalCode=pcem20"

+18c4a0e82fdddda2530b7281ad567abc0373a89f,Automatic Subspace Learning via Principal Coefficients Embedding,"Automatic Subspace Learning via Principal
+Coefficients Embedding
+Xi Peng, Jiwen Lu, Senior Member, IEEE, Zhang Yi, Fellow, IEEE and Rui Yan, Member, IEEE,"

+18cc17c06e34baaa3e196db07e20facdbb17026d,Describing Videos by Exploiting Temporal Structure,"Describing Videos by Exploiting Temporal Structure
+Li Yao
+Universit´e de Montr´eal
+Atousa Torabi
+Universit´e de Montr´eal
+Kyunghyun Cho
+Universit´e de Montr´eal
+Nicolas Ballas
+Universit´e de Montr´eal
+Christopher Pal
+´Ecole Polytechnique de Montr´eal
+Hugo Larochelle
+Universit´e de Sherbrooke
+Aaron Courville
+Universit´e de Montr´eal"

+1885acea0d24e7b953485f78ec57b2f04e946eaf,Combining Local and Global Features for 3D Face Tracking,"Combining Local and Global Features for 3D Face Tracking
+Pengfei Xiong, Guoqing Li, Yuhang Sun
+Megvii (face++) Research
+{xiongpengfei, liguoqing,"

+1868aeb7f13e64ebc78869b371ef321572d6167f,Weakly Supervised Automatic Annotation of Pedestrian Bounding Boxes,"Weakly Supervised Automatic Annotation of Pedestrian Bounding Boxes
+David V´azquez1, Jiaolong Xu1, Sebastian Ramos1, Antonio M. L´opez1,2 and Daniel Ponsa1,2
+Computer Vision Center
+Dept. of Computer Science
+Autonomous University of Barcelona
+08193 Bellaterra, Barcelona, Spain
+{dvazquez, jiaolong, sramosp, antonio,"

+18d4210a5bb56e92045ef0637208685abaaca6a5,GIANT: geo-informative attributes for location recognition and exploration,"GIANT: Geo-Informative Attributes for
+locatioN recogniTion and exploration
+National Lab of Pattern Recognition, Institute of Automation, CAS, Beijing 100190, China
+China-Singapore Institute of Digital Media, Singapore, 139951, Singapore
+Quan Fang1,2, Jitao Sang1,2, Changsheng Xu1,2
+{qfang, jtsang,"

+18de899c853120a1a2cd502ebc3e970b92e1882f,Age Regression from Soft Aligned Face Images Using Low Computational Resources,"Age regression from soft aligned face images
+using low computational resources
+Juan Bekios-Calfa1, Jos´e M. Buenaposada2, and Luis Baumela3
+Dept. de Ingenier´ıa de Sistemas y Computaci´on, Universidad Cat´olica del Norte
+Av. Angamos 0610, Antofagasta, Chile
+Dept. de Ciencias de la Computaci´on, Universidad Rey Juan Carlos
+Calle Tulip´an s/n, 28933, M´ostoles, Spain
+Dept. de Inteligencia Artificial, Universidad Polit´ecnica de Madrid
+Campus Montegancedo s/n, 28660 Boadilla del Monte, Spain"

+18a849b1f336e3c3b7c0ee311c9ccde582d7214f,"Efficiently Scaling up Crowdsourced Video Annotation A Set of Best Practices for High Quality, Economical Video Labeling","Int J Comput Vis
+DOI 10.1007/s11263-012-0564-1
+Efficiently Scaling up Crowdsourced Video Annotation
+A Set of Best Practices for High Quality, Economical Video Labeling
+Carl Vondrick · Donald Patterson · Deva Ramanan
+Received: 31 October 2011 / Accepted: 20 August 2012
+© Springer Science+Business Media, LLC 2012"

+18cd79f3c93b74d856bff6da92bfc87be1109f80,A N a Pplication to H Uman F Ace P Hoto - S Ketch S Ynthesis and R Ecognition,"International Journal of Advances in Engineering & Technology, May 2012.
+©IJAET                                                                                                          ISSN: 2231-1963
+AN APPLICATION TO HUMAN FACE PHOTO-SKETCH
+SYNTHESIS AND RECOGNITION
+Amit R. Sharma and 2Prakash. R. Devale
+Student and 2Professor & Head,
+Department of Information Tech., Bharti Vidyapeeth Deemed University, Pune, India"

+189355bff03076cc5bddaa11239626051931144d,Learning Representations for Automatic Colorization,"Learning Representations for Automatic Colorization
+Gustav Larsson1, Michael Maire2, and Gregory Shakhnarovich2
+University of Chicago
+Toyota Technological Institute at Chicago"

+18fe745e0840b7b086fb7d14850a95ebbd5ae57b,Evaluation and Acceleration of High-Throughput Fixed-Point Object Detection on FPGAs,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
+Evaluation and Acceleration of High-Throughput
+Fixed-Point Object Detection on FPGAs
+Xiaoyin Ma, Student Member, IEEE, Walid A. Najjar, Fellow, IEEE, Amit K. Roy-Chowdhury, Sr. Member, IEEE"

+1856e71437886af2366b620bcfe4caf891425f7b,Analyzing the Distribution of a Large-Scale Character Pattern Set Using Relative Neighborhood Graph,"Analyzing the Distribution of
+Large-scale Character Pattern Set
+Using Relative Neighborhood Graph
+Masanori Goto(cid:3), Ryosuke Ishiday, Yaokai Fengy and Seiichi Uchiday
+(cid:3)GLORY LTD., Hyogo, Japan
+Email:
+yKyushu University, Fukuoka, Japan
+Email:"

+1883387726897d94b663cc4de4df88e5c31df285,Measures of Effective Video Tracking,"Measures of effective video tracking
+Tahir Nawaz, Fabio Poiesi, Andrea Cavallaro"

+18a7edd0bfe5a3d6ceb4d2053081e479cfa1e920,Transductive Kernel Map Learning and its Application to Image Annotation,"TRANSDUCTIVE LEARNING, KERNEL MAP, IMAGE ANNOTATION: BMVC SUBMISSION 1
+Transductive Kernel Map Learning
+nd its Application to Image Annotation
+Dinh-Phong Vo
+Hichem Sahbi
+LTCI CNRS Telecom ParisTech
+6 rue Barrault, 75013, Paris, France"

+1886b6d9c303135c5fbdc33e5f401e7fc4da6da4,Knowledge Guided Disambiguation for Large-Scale Scene Classification With Multi-Resolution CNNs,"Knowledge Guided Disambiguation for Large-Scale
+Scene Classification with Multi-Resolution CNNs
+Limin Wang, Sheng Guo, Weilin Huang, Member, IEEE, Yuanjun Xiong, and Yu Qiao, Senior Member, IEEE"

+1888bf50fd140767352158c0ad5748b501563833,A Guided Tour of Face Processing,"PA R T 1
+THE BASICS"

+18babfe4c7230522527a068654eeea10b1a827fd,Discriminative Label Propagation for Multi-object Tracking with Sporadic Appearance Features,"Discriminative Label Propagation for Multi-Object Tracking with Sporadic
+Appearance Features
+Amit Kumar K.C. and Christophe De Vleeschouwer
+ISPGroup, ELEN Department, ICTEAM Institute
+Universit´e catholique de Louvain
+Louvain-la-Neuve, B-1348, Belgium
+{amit.kc,"

+1819d9a9099dafc987dd236c2174945e7922be13,Eigenfeature Regularization and Extraction in Face Recognition,"Eigenfeature Regularization and Extraction
+in Face Recognition
+Xudong Jiang, Senior Member, IEEE, Bappaditya Mandal, and Alex Kot, Fellow, IEEE"

+183ad3409a53914247affc599b33af38d94937be,A Latent-Variable Lattice Model,"An Inertial Latent-Variable Sequence Model
+Rajasekaran Masatran
+Indian Institute of Technology Madras, Chennai, TN, India
+MASATRAN AT FREESHELL.ORG"

+18f348d56a2ff1c0904685ce8b6818b84867b7a4,ML-o-scope: a diagnostic visualization system for deep machine learning pipelines,"ML-o-scope: a diagnostic visualization system for
+deep machine learning pipelines
+Daniel Bruckner
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2014-99
+http://www.eecs.berkeley.edu/Pubs/TechRpts/2014/EECS-2014-99.html
+May 16, 2014"

+18d7684c6b96caf51adb519738720eceb1b13050,Hidden Relationships: Bayesian Estimation With Partial Knowledge,"Hidden Relationships:
+Bayesian Estimation with Partial Knowledge
+Tomer Michaeli and Yonina C. Eldar, Senior Member, IEEE
+the joint probability function of"

+18a4399b8afb460cbd4de2225f39ed23a95336d6,HMS-Net: Hierarchical Multi-scale Sparsity-invariant Network for Sparse Depth Completion,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+HMS-Net: Hierarchical Multi-scale
+Sparsity-invariant Network for Sparse Depth
+Completion
+Zixuan Huang, Junming Fan, Shuai Yi, Xiaogang Wang, Senior Member, IEEE,
+Hongsheng Li, Member, IEEE"

+18727c3f4ada0cec9e5914340cc672d0554d7784,"3-D Face Detection, Landmark Localization, and Registration Using a Point Distribution Model","D face detection, landmark localization and
+registration using a Point Distribution Model
+Prathap Nair*, Student Member, IEEE, and Andrea Cavallaro, Member, IEEE"

+18001ed8ce46cf9df5574b1e360550ed9401cd76,Sentic blending: Scalable multimodal fusion for the continuous interpretation of semantics and sentics,"Sentic Blending:
+Scalable Multimodal Fusion for the Continuous
+Interpretation of Semantics and Sentics
+Erik Cambria, Member, IEEE, Newton Howard, Member, IEEE,
+Jane Hsu, Member, IEEE, and Amir Hussain, Senior Member, IEEE"

+18aae0f20fdc6aab093c72c81005247d2cbc8512,Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination,"Bayesian CP Factorization of Incomplete
+Tensors with Automatic Rank Determination
+Qibin Zhao, Member, IEEE, Liqing Zhang, Member, IEEE, and Andrzej Cichocki Fellow, IEEE"

+18233c55982050292ba7f6a5462c0e7576c3398d,Face Recognition using Eye Distance and PCA Approaches,"Face Recognition using Eye Distance and PCA
+Approaches
+Ripal Patel , Nidhi Rathod , Ami Shah , Mayur Sevak
+Electronics & Telecommunication Department,
+BVM Engineering College.
+Vallabh Vidyanagar-388120, Gujarat, India"

+180cf5ab4e021e64b9bf08f2ffc4a4712acd9a30,Multi-view anchor graph hashing,"MULTI-VIEW ANCHOR GRAPH HASHING
+Saehoon Kim1 and Seungjin Choi1,2
+Department of Computer Science and Engineering, POSTECH, Korea
+Division of IT Convergence Engineering, POSTECH, Korea
+{kshkawa,"

+185360fe1d024a3313042805ee201a75eac50131,Person De-Identification in Videos,"Person De-Identification in Videos
+Prachi Agrawal and P. J. Narayanan"

+1824b1ccace464ba275ccc86619feaa89018c0ad,One millisecond face alignment with an ensemble of regression trees,"One Millisecond Face Alignment with an Ensemble of Regression Trees
+Vahid Kazemi and Josephine Sullivan
+KTH, Royal Institute of Technology
+Computer Vision and Active Perception Lab
+Teknikringen 14, Stockholm, Sweden"

+18858cc936947fc96b5c06bbe3c6c2faa5614540,Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification,"Proceedings of Machine Learning Research 81:1–15, 2018
+Conference on Fairness, Accountability, and Transparency
+Gender Shades: Intersectional Accuracy Disparities in
+Commercial Gender Classification∗
+Joy Buolamwini
+MIT Media Lab 75 Amherst St. Cambridge, MA 02139
+Timnit Gebru
+Microsoft Research 641 Avenue of the Americas, New York, NY 10011
+Editors: Sorelle A. Friedler and Christo Wilson"

+2783efc96a0d59473e4236ccf1db6ed7e958839e,An Overview of Multi-Task Learning in Deep Neural Networks,"An Overview of Multi-Task Learning
+in Deep Neural Networks∗
+Sebastian Ruder
+Insight Centre for Data Analytics, NUI Galway
+Aylien Ltd., Dublin"

+27e97b67a8401def58eb41b4b00d3dfb0e4ad1a8,Knowledge Based Face Detection Using Fusion Features,"International Journal of Computer Engineering and Applications, ICCSTAR-2016, Special Issue,
+May.16
+Knowledge Based Face Detection Using Fusion Features.
+Savitri Kulkarni
+Assistant Professor,Department of CSE
+City Engineering College,
+2Annapurna N S
+UG Student (B.E) Department of CSE
+City Engineering College,"

+2704959c75a2e6741867ae18f11fa822fa544c74,Hierarchical Convex NMF for Clustering Massive Data,"JMLR: Workshop and Conference Proceedings 13: 253-268
+nd Asian Conference on Machine Learning (ACML2010), Tokyo, Japan, Nov. 8–10, 2010.
+Hierarchical Convex NMF for Clustering Massive Data
+Kristian Kersting
+Mirwaes Wahabzada
+Knowledge Discovery Department
+Fraunhofer IAIS, Schloss Birlinghoven
+53754 Sankt Augustin, Germany
+Christian Thurau
+Christian Bauckhage
+Vision and Social Media Group
+Fraunhofer IAIS, Schloss Birlinghoven
+53754 Sankt Augustin, Germany
+Editor: Masashi Sugiyama and Qiang Yang"

+275ad26b7e4d7847f7ad4eedda65f327007a9452,Query-by-Example Image Retrieval using Visual Dependency Representations,"Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers,
+pages 109–120, Dublin, Ireland, August 23-29 2014."

+27fda2c61f3fe1f74e18bd11555df7751d178bca,Real-time 3D head pose and facial landmark estimation from depth images using triangular surface patch features,"Real-time 3D Head Pose and Facial Landmark Estimation from Depth Images
+Using Triangular Surface Patch Features
+Chavdar Papazov
+Tim K. Marks
+Michael Jones
+Mitsubishi Electric Research Laboratories (MERL)
+01 Broadway, Cambridge, MA 02139"

+27a0a7837f9114143717fc63294a6500565294c2,Face Recognition in Unconstrained Environments: A Comparative Study,"Face Recognition in Unconstrained Environments: A
+Comparative Study
+Rodrigo Verschae, Javier Ruiz-Del-Solar, Mauricio Correa
+To cite this version:
+Rodrigo Verschae, Javier Ruiz-Del-Solar, Mauricio Correa. Face Recognition in Unconstrained
+Environments: A Comparative Study: . Workshop on Faces in ’Real-Life’ Images: Detection,
+Alignment, and Recognition, Oct 2008, Marseille, France. 2008. <inria-00326730>
+HAL Id: inria-00326730
+https://hal.inria.fr/inria-00326730
+Submitted on 5 Oct 2008
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+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"

+27421586a04584d38dd961b37d0ca85408acfe59,Large brains in autism: the challenge of pervasive abnormality.,"Large Brains in Autism:
+The Challenge of Pervasive Abnormality
+MARTHA R. HERBERT
+Pediatric Neurology, Center for Morphometric Analysis
+Massachusetts General Hospital
+REVIEW I
+The most replicated finding in autism neuroanatomy—a tendency to unusually large brains—has seemed
+paradoxical in relation to the specificity of the abnormalities in three behavioral domains that define autism.
+We now know a range of things about this phenomenon, including that brains in autism have a growth spurt
+shortly  after  birth  and  then  slow  in  growth  a  few  short  years  afterward,  that  only  younger  but  not  older
+rains are larger in autism than in controls, that white matter contributes disproportionately to this volume
+increase and in a nonuniform pattern suggesting postnatal pathology, that functional connectivity among
+regions of autistic brains is diminished, and that neuroinflammation (including microgliosis and astrogliosis)
+ppears to be present in autistic brain tissue from childhood through adulthood. Alongside these pervasive
+rain  tissue  and  functional  abnormalities,  there  have  arisen  theories  of  pervasive  or  widespread  neural
+information  processing  or  signal  coordination  abnormalities  (such  as  weak  central  coherence,  impaired
+omplex processing, and underconnectivity), which are argued to underlie the specific observable behav-
+ioral features of autism. This convergence of findings and models suggests that a systems- and chronic
+disease–based  reformulation  of  function  and  pathophysiology  in  autism  needs  to  be  considered,  and
+it  opens  the  possibility  for  new  treatment  targets.  NEUROSCIENTIST  11(5):417–440;  2005.  DOI:"

+2792e5d569b94406ca28f86c9999f569a3d60c6d,Illumination Multiplexing within Fundamental Limits,"Illumination Multiplexing within Fundamental Limits
+Netanel Ratner
+Yoav Y. Schechner
+Department of Electrical Engineering
+Technion - Israel Institute of Technology
+Haifa 32000, ISRAEL"

+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
+An  Introduction  to  Image-based  3D  Surface  Reconstruction  and  a
+Survey of Photometric Stereo Methods
+Steffen Herbort • Christian Wöhler
+introduction
+image-based  3D
+techniques.  Then  we  describe
+Received: 21Feburary 2011 / Revised: 20 March 2011 / Accepted: 11 May 2011
+© 3D Research Center, Kwangwoon University and Springer 2011"

+270733d986a1eb72efda847b4b55bc6ba9686df4,Recognizing Facial Expressions Using Model-Based Image Interpretation,"We are IntechOpen,
+the first native scientific
+publisher of Open Access books
+,350
+08,000
+.7 M
+Open access books available
+International  authors and editors
+Downloads
+Our authors are among the
+Countries delivered to
+TOP 1%
+2.2%
+most cited scientists
+Contributors from top 500 universities
+Selection of our books indexed in the Book Citation Index
+in Web of Science™ Core Collection (BKCI)
+Interested in publishing with us?
+Contact
+Numbers displayed above are based on latest data collected."

+27a4bbd7bc90ad118f15c61bb30079d6e6bff78e,3D Deformable Super-Resolution for Multi-Camera 3D Face Scanning,"J Math Imaging Vis
+DOI 10.1007/s10851-012-0399-y
+D Deformable Super-Resolution for Multi-Camera 3D Face
+Scanning
+Karima Ouji · Mohsen Ardabilian · Liming Chen ·
+Faouzi Ghorbel
+© Springer Science+Business Media New York 2012"

+277096c5e536784da9856ac083a972715ce9f9c3,Gender Recognition from Human-Body Images Using Visible-Light and Thermal Camera Videos Based on a Convolutional Neural Network for Image Feature Extraction,"Article
+Gender Recognition from Human-Body Images
+Using Visible-Light and Thermal Camera Videos
+Based on a Convolutional Neural Network for
+Image Feature Extraction
+Dat Tien Nguyen, Ki Wan Kim, Hyung Gil Hong, Ja Hyung Koo, Min Cheol Kim and
+Kang Ryoung Park *
+Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu,
+Seoul 100-715, Korea; (D.T.N.); (K.W.K.);
+(H.G.H.); (J.H.K.); (M.C.K.)
+* Correspondence: Tel.: +82-10-3111-7022; Fax: +82-2-2277-8735
+Academic Editor: Joonki Paik
+Received: 31 January 2017; Accepted: 18 March 2017; Published: 20 March 2017"

+27169761aeab311a428a9dd964c7e34950a62a6b,Face Recognition Using 3D Head Scan Data Based on Procrustes Distance,"International Journal of the Physical Sciences Vol. 5(13), pp. 2020 -2029, 18 October, 2010
+Available online at http://www.academicjournals.org/IJPS
+ISSN 1992 - 1950 ©2010 Academic Journals
+Full Length Research Paper
+Face recognition using 3D head scan data based on
+Ahmed Mostayed1, Sikyung Kim1, Mohammad Mynuddin Gani Mazumder1* and Se Jin Park2
+Procrustes distance
+Department of Electrical Engineering, Kongju National University, South Korea.
+Korean Research Institute of Standards and Science (KRISS), Korea.
+Accepted 6 July, 2010
+Recently,  face  recognition  has  attracted  significant  attention  from  the  researchers  and  scientists  in
+various  fields  of  research,  such  as  biomedical  informatics,  pattern  recognition,  vision,  etc  due  its
+pplications in commercially available systems, defense and security purpose. In this paper a practical
+method  for  face  reorganization  utilizing  head  cross  section  data  based  on  Procrustes  analysis  is
+proposed. This proposed method relies on shape signatures of the contours extracted from face data.
+The shape signatures are created by calculating the centroid distance of the boundary points, which is
+translation  and  rotation  invariant  signature.  The  shape  signatures  for  a  selected  region  of  interest
+(ROI)  are  used  as  feature  vectors  and  authentication  is  done  using  them.  After  extracting  feature
+vectors  a  comparison  analysis  is  performed  utilizing  Procrustes  distance  to  differentiate  their  face
+pattern from each other. The proposed scheme attains an equal error rate (EER) of 4.563% for the 400"

+272ac22c670fd0c7c3f1b4ca02e925ff22dd4b27,Articulated part-based model for joint object detection and pose estimation,"Articulated Part-based Model for Joint Object Detection and Pose Estimation
+Dept. of Electrical and Computer Engineering, University of Michigan at Ann Arbor, USA
+Min Sun
+Silvio Savarese
+COARSE
+LEVEL"

+27ae7c8c650ffef74c465640f423d9008014e1ca,Dimensionality Reduction with Adaptive Approximation,"TobepublishedintheProceedingsofIEEEICME2007,Beijing,China
+DIMENSIONALITY REDUCTION WITH ADAPTIVE APPROXIMATION
+Effrosyni Kokiopoulou and Pascal Frossard
+Ecole Polytechnique F´ed´erale de Lausanne (EPFL)
+Signal Processing Institute - ITS
+CH- 1015 Lausanne, Switzerland"

+27b87bdee46964757b83b5afb4184e438cad6b1b,Sequence searching with deep-learnt depth for condition- and viewpoint-invariant route-based place recognition,"Sequence Searching with Deep-learnt Depth for Condition- and Viewpoint-
+invariant Route-based Place Recognition
+Michael Milford, Stephanie Lowry, Niko
+Sunderhauf, Sareh Shirazi, Edward Pepperell,
+Ben Upcroft
+Queensland University of Technology Australia
+Australian Centre for Robotic Vision"

+27173d0b9bb5ce3a75d05e4dbd8f063375f24bb5,Effect of Different Occlusion on Facial Expressions Recognition,"Ankita Vyas  Int. Journal of Engineering Research and Applications                               www.ijera.com
+ISSN : 2248-9622, Vol. 4, Issue 10( Part - 3), October 2014, pp.40-44
+RESEARCH ARTICLE
+OPEN ACCESS
+Effect of Different Occlusion on Facial Expressions Recognition
+Ankita Vyas*, Ramchand Hablani**
+*(Department of Computer Science, RGPV University, Indore)
+** (Department of Computer Science, RGPV University, Indore)"

+27f1fd71538ba420c63aa4c74704718a0633b22a,Multimodal News Article Analysis,Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)

+2785c5769489825671a6138fdf0537fcd444038a,A Deep Cascade Network for Unaligned Face Attribute Classification,"A Deep Cascade Network for Unaligned Face Attribute Classification
+Hui Ding,1 Hao Zhou,2 Shaohua Kevin Zhou,3 Rama Chellappa4
+,2,4University of Maryland, College Park
+Siemens Healthineers, New Jersey"

+27187d4c36f71d08898a53dfda0e81df11b25f21,Worst Case Linear Discriminant Analysis as Scalable Semidefinite Feasibility Problems,"MANUSCRIPT
+Worst-Case Linear Discriminant Analysis as
+Scalable Semidefinite Feasibility Problems
+Hui Li, Chunhua Shen, Anton van den Hengel, Qinfeng Shi"

+2725a68be6bc677bd435c19664569ecd45c52d7a,DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers,"DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers
+Amir Ghodrati1∗, Ali Diba1∗, Marco Pedersoli2†‡, Tinne Tuytelaars1, Luc Van Gool1,3
+KU Leuven, ESAT-PSI, iMinds
+Inria
+CVL, ETH Zurich"

+273b973092a4491974d173cc5258c74aede692cc,Monocular Long-Term Target Following on UAVs,"Monocular Long-term Target Following on UAVs
+Rui Li ∗
+Minjian Pang†
+Cong Zhao ‡
+Guyue Zhou ‡
+Lu Fang †§"

+2770b095613d4395045942dc60e6c560e882f887,GridFace: Face Rectification via Learning Local Homography Transformations,"GridFace: Face Rectification via Learning Local
+Homography Transformations
+Erjin Zhou, Zhimin Cao, and Jian Sun
+Face++, Megvii Inc."

+27cccf992f54966feb2ab4831fab628334c742d8,"Facial Expression Recognition by Statistical, Spatial Features and using Decision Tree","International Journal of Computer Applications (0975 – 8887)
+Volume 64– No.18, February 2013
+Facial Expression Recognition by Statistical, Spatial
+Features and using Decision Tree
+Nazil Perveen
+Assistant Professor
+CSIT Department
+GGV BIlaspur, Chhattisgarh
+India
+Darshan Kumar
+Assistant Professor
+Electronics (ECE) Department
+JECRC Jaipur, Rajasthan India
+IshanBhardwaj
+Student of Ph.D.
+Electrical Department
+NIT Raipur, Chhattisgarh India"

+27f9b43737e234cefb3c5cd72324a36cbe61ee3c,Sparse Manifold Clustering and Embedding,"Sparse Manifold Clustering and Embedding
+Ehsan Elhamifar
+Center for Imaging Science
+Johns Hopkins University
+Ren´e Vidal
+Center for Imaging Science
+Johns Hopkins University"

+27f8b01e628f20ebfcb58d14ea40573d351bbaad,Events based Multimedia Indexing and Retrieval,"DEPARTMENT OF INFORMATION ENGINEERING AND COMPUTER SCIENCE
+ICT International Doctoral School
+Events based Multimedia Indexing
+nd Retrieval
+Kashif Ahmad
+SUBMITTED TO THE DEPARTMENT OF
+INFORMATION ENGINEERING AND COMPUTER SCIENCE (DISI)
+IN THE PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE
+DOCTOR OF PHILOSOPHY
+Advisor:
+Examiners: Prof. Marco Carli, Universit`a degli Studi di Roma Tre, Italy
+Prof. Nicola Conci, Universit`a degli Studi di Trento, Italy
+Prof. Pietro Zanuttigh, Universit`a degli Studi di Padova, Italy
+Prof. Giulia Boato, Universit`a degli Studi di Trento, Italy
+December 2017"

+27c978bdb9de3a5135349976fdbc514ff547dcab,Multi-Objective Stochastic Optimization by Co-Direct Sequential Simulation for History Matching of Oil Reservoirs,"Multi-Objective Stochastic Optimization by Co-Direct Sequential
+Simulation for History Matching of Oil Reservoirs
+Jo˜ao Daniel Trigo Pereira Carneiro∗
+under the supervision of Am´ılcar de Oliveira Soares†
+Dep. Mines, IST, Lisbon, Portugal
+December 2010"

+2799d53ca80d67f104bef207a667fa12b4c59d62,Multiple-Person Tracking for a Mobile Robot Using Stereo,"MVA2009 IAPR Conference on Machine Vision Applications, May 20-22, 2009, Yokohama, JAPAN
+Multiple-Person Tracking for a Mobile Robot using Stereo
+Junji Satake
+Jun Miura
+Toyohashi University of Technology
+-1 Hibarigaoka, Tempaku-cho, Toyohashi, Aichi 441-8580, Japan
+{satake,"

+27ae95d9ad6492511296360ba0618f5d0565cf9e,Person re-Identification over distributed spaces and time,"Person re-Identification over distributed spaces and time
+Prosser, Bryan James
+For additional information about this publication click this link.
+http://qmro.qmul.ac.uk/jspui/handle/123456789/2513
+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"

+276d35fef150f61adf53270eb6e50625022d4e7f,The ACRV picking benchmark: A robotic shelf picking benchmark to foster reproducible research,"A Robotic Shelf Picking Benchmark to Foster Reproducible Research
+The ACRV Picking Benchmark:
+J¨urgen Leitner1,2, Adam W. Tow1,2, Niko S¨underhauf1,2, Jake E. Dean2, Joseph W. Durham3, Matthew
+Cooper2, Markus Eich1,2, Christopher Lehnert2, Ruben Mangels2, Christopher McCool2, Peter T. Kujala1,2,
+Lachlan Nicholson2, Trung Pham1,4, James Sergeant1,2, Fangyi Zhang1,2, Ben Upcroft1,2, and Peter Corke1,2."

+27183d23f50884a0e06b978acf9ad77dbcbfb112,Autonomous indoor helicopter flight using a single onboard camera,"The 2009 IEEE/RSJ International Conference on
+Intelligent Robots and Systems
+October 11-15, 2009 St. Louis, USA
+978-1-4244-3804-4/09/$25.00 ©2009 IEEE"

+2757ff9bba677e7bceaa4802d85cc6f872618583,From basis components to complex structural patterns,"FROM BASIS COMPONENTS TO COMPLEX STRUCTURAL PATTERNS
+Anh Huy Phan‡, Andrzej Cichocki‡∗, Petr Tichavsk´y•†, Rafal Zdunek§ and Sidney Lehky‡⋆
+Brain Science Institute, RIKEN, Wakoshi, Japan
+•Institute of Information Theory and Automation, Prague, Czech Republic
+§Wroclaw University of Technology, Poland
+⋆Computational Neurobiology Lab, The Salk Institute, USA"

+27448716366bed56515c1b32579daf224165861e,Deep Multi-camera People Detection,"Deep Multi-Camera People Detection
+Tatjana Chavdarova and Franc¸ois Fleuret
+Idiap Research Institute and
+´Ecole Polytechnique F´ed´erale de Lausanne
+Email:"

+277cadfadc4550fc781be7df8cb4ec89e54b793e,Autonomous Real-time Vehicle Detection from a Medium-Level UAV,"Autonomous Real-time Vehicle Detection from a
+Medium-Level UAV
+Toby P. Breckon, Stuart E. Barnes, Marcin L. Eichner and Ken Wahren"

+27b1670e1b91ab983b7b1ecfe9eb5e6ba951e0ba,Comparison between k-nn and svm method for speech emotion recognition,"Comparison between k-nn and svm method
+for speech emotion recognition
+Muzaffar Khan, Tirupati Goskula, Mohmmed Nasiruddin ,Ruhina Quazi
+Anjuman College of Engineering & Technology ,Sadar, Nagpur, India"

+27ee8482c376ef282d5eb2e673ab042f5ded99d7,Scale Normalization for the Distance Maps AAM,"Scale Normalization for the Distance Maps AAM.
+Denis GIRI, Maxime ROSENWALD, Benjamin VILLENEUVE, Sylvain LE GALLOU and Renaud S ´EGUIER
+Email: {denis.giri, maxime.rosenwald, benjamin.villeneuve, sylvain.legallou,
+Avenue de la boulaie, BP 81127,
+5 511 Cesson-S´evign´e, France
+Sup´elec, IETR-SCEE Team"

+2734b3a6345396499b2b7c6cc1b43fc7e9b375ee,Full-System Simulation of big.LITTLE Multicore Architecture for Performance and Energy Exploration,"Full-System Simulation of big.LITTLE Multicore
+Architecture for Performance and Energy
+Exploration
+Anastasiia Butko, Florent Bruguier, Abdoulaye Gamati´e,
+Gilles Sassatelli, David Novo, Lionel Torres and Michel Robert
+LIRMM (CNRS and University of Montpellier)
+Montpellier, France
+Email:"

+4b4106614c1d553365bad75d7866bff0de6056ed,Unconstrained Facial Images: Database for Face Recognition Under Real-World Conditions,"Unconstrained Facial Images: Database for Face
+Recognition under Real-world Conditions⋆
+Ladislav Lenc1,2 and Pavel Kr´al1,2
+Dept. of Computer Science & Engineering
+University of West Bohemia
+Plzeˇn, Czech Republic
+NTIS - New Technologies for the Information Society
+University of West Bohemia
+Plzeˇn, Czech Republic"

+4b90f2e4f421dd9198d4c52cd3371643acddf1f9,Detecting planar surface using a light-field camera with application to distinguishing real scenes from printed photos,"014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP)
+978-1-4799-2893-4/14/$31.00 ©2014 IEEE
+´Ecole Polytechnique F´ed´erale de Lausanne
+School of Computer and Communication Sciences
+AudioVisual Communications Laboratory
+. INTRODUCTION
+Alireza Ghasemi
+Martin Vetterli"

+4b57456642e1d21f2bda05aea586b7f419d309ce,Disposable Ties and the Urban Poor,"Disposable Ties and the Urban Poor
+Author(s): Matthew Desmond
+Reviewed work(s):
+Source: American Journal of Sociology, Vol. 117, No. 5 (March 2012), pp. 1295-1335
+Published by: The University of Chicago Press
+Stable URL: http://www.jstor.org/stable/10.1086/663574 .
+Accessed: 17/08/2012 17:34
+Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at .
+http://www.jstor.org/page/info/about/policies/terms.jsp
+JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of
+ontent in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms
+of scholarship. For more information about JSTOR, please contact
+The University of Chicago Press is collaborating with JSTOR to digitize, preserve and extend access to
+American Journal of Sociology.
+http://www.jstor.org"

+4bb83b00e7b8eb27ad04d4bb80499e91fc471a07,Emotion related structures in large image databases,"Emotion Related Structures in Large Image Databases
+Martin Solli
+ITN, Linköping University
+SE-60174 Norrköping, Sweden
+Reiner Lenz
+ITN, Linköping University
+SE-60174 Norrköping, Sweden"

+4b37efd3987c1e625b063a6998bd6b282c844915,End-to-end Convolutional Network for Saliency Prediction,"End-to-end Convolutional Network for Saliency Prediction
+Junting Pan and Xavier Gir´o-i-Nieto
+Universitat Politecnica de Catalunya (UPC)
+Barcelona, Catalonia/Spain"

+4b89cf7197922ee9418ae93896586c990e0d2867,Unsupervised Discovery of Action Classes,"LATEX Author Guidelines for CVPR Proceedings
+First Author
+Institution1
+Institution1 address"

+4b69bbb6dc2959ea3d2e911ed45c6298dc531490,Deep Mixture of Experts via Shallow Embedding,"TAFE-Net: Task-Aware Feature Embeddings for
+Efficient Learning and Inference
+Xin Wang Fisher Yu Ruth Wang Trevor Darrell
+EECS Department, UC Berkeley
+Joseph E. Gonzalez"

+4b042eb64ddb8991c0e63fff02b1c51c378a8f58,Leveraging Massive User Contributions for Knowledge Extraction,"Chapter 16
+Leveraging Massive User Contributions for
+Knowledge Extraction
+Spiros Nikolopoulos, Elisavet Chatzilari, Eirini Giannakidou,
+Symeon Papadopoulos, Ioannis Kompatsiaris, and Athena Vakali"

+4b5dd0a1b866f928734bc36afd597adca20a7ec1,Detector ensembles for face recognition in video surveillance,"Detector Ensembles for Face Recognition in Video Surveillance
+Christophe Pagano, Eric Granger, Robert Sabourin and Dmitry O. Gorodnichy"

+4b6eb9117c1b7833c8c6b95ecad427f8f994f023,Robust Depth-Based Person Re-Identification,"Robust Depth-based Person Re-identification
+Ancong Wu, Wei-Shi Zheng, Jian-Huang Lai
+Code is available at the project page:
+http://isee.sysu.edu.cn/∼wuancong/ProjectDepthReID.htm
+For reference of this work, please cite:
+Ancong Wu, Wei-Shi Zheng,
+Person Re-identification.
+(DOI:10.1109/TIP.2017.2675201)
+Jian-Huang Lai. Robust Depth-based
+title={Robust Depth-based Person Re-identification},
+uthor={Wu, Ancong and Zheng, Wei-Shi and Lai, Jianhuang},
+(DOI:10.1109/TIP.2017.2675201)},
+year={2017}"

+4b8762d7637868b6ba0c97c95b2d4949d103ecdc,The OU-ISIR Gait Database Comprising the Large Population Dataset and Performance Evaluation of Gait Recognition,"The OU-ISIR Gait Database Comprising the Large
+Population Dataset and Performance Evaluation of
+Gait Recognition
+Haruyuki Iwama, Mayu Okumura, Yasushi Makihara, and Yasushi Yagi, Member, IEEE
+the world’s"

+4ba1cf65eb86aba729192d2f0fe2cd064ac346cf,One-Shot Person Re-identification with a Consumer Depth Camera,"One-Shot Person Re-Identification with a
+Consumer Depth Camera
+Matteo Munaro, Andrea Fossati, Alberto Basso, Emanuele Menegatti and Luc Van"

+4b1fc77a54e9daece9f11ec881a2ec40919337b7,Fusion of LBP and HOG using multiple kernel learning for infrared face recognition,"Fusion of LBP and HOG Using Multiple Kernel
+Learning for Infrared Face Recognition
+Zhihua Xie, Peng Jiang, Shuai Zhang
+Key Lab of Optic-Electronic and Communication
+Jiangxi Sciences and Technology Normal University
+Nanchang, Jiangxi Province, China
+limitation
+(LBP)  has"

+4b6ea82fa73d2137c884ad43f7865d88b24ff01d,How deep should be the depth of convolutional neural networks: a backyard dog case study,"How deep should be the depth of convolutional neural
+networks: a backyard dog case study
+Alexander N. Gorban, Evgeny M. Mirkes, Ivan Y. Tukin
+University of Leicester, Leicester LE1 7RH, UK"

+4b7dc1e99b0b34022aec2bde1a13481f28f62030,Person Re-Identification Based on Weighted Indexing Structures,"Person Re-Identification based on Weighted
+Indexing Structures
+Cristianne R. S. Dutra, Matheus Castro Rocha, and William Robson Schwartz
+Department of Computer Science, Universidade Federal de Minas Gerais
+Belo Horizonte, Minas Gerais, Brazil, 31270-901
+rocha"

+4b9b39bbdac95e24773789f1bb543149116cdc37,Region-Of-Interest Retrieval in Brain MR Images,"Technical Note PR-TN 2008/00905
+Issued: 12/2008
+Region-Of-Interest Retrieval in Brain MR
+Images
+D. Unay; A. Ekin
+Philips Research Europe
+Unclassified
+ Koninklijke Philips Electronics N.V. 2008"

+4b04247c7f22410681b6aab053d9655cf7f3f888,Robust Face Recognition by Constrained Part-based Alignment,"Robust Face Recognition by Constrained Part-based
+Alignment
+Yuting Zhang, Kui Jia, Yueming Wang, Gang Pan, Tsung-Han Chan, Yi Ma"

+4b60e45b6803e2e155f25a2270a28be9f8bec130,Attribute based object identification,"Attribute Based Object Identification
+Yuyin Sun, Liefeng Bo and Dieter Fox"

+4b48e912a17c79ac95d6a60afed8238c9ab9e553,Minimum Margin Loss for Deep Face Recognition,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Minimum Margin Loss for Deep Face Recognition
+Xin Wei, Student Member, IEEE, Hui Wang, Member, IEEE, Bryan Scotney, and Huan Wan"

+4b0893bf71e4e13529cefb286c78b166a9491552,Estimating orientation in tracking individuals of flying swarms,"978-1-4799-9988-0/16/$31.00 ©2016 IEEE
+ICASSP 2016"

+4b5eeea5dd8bd69331bd4bd4c66098b125888dea,Human Activity Recognition Using Conditional Random Fields and Privileged Information,"Human Activity Recognition Using Conditional
+Random Fields and Privileged Information
+DOCTORAL THESIS
+submitted to
+the designated by the General Assembly Composition of the
+Department of Computer Science & Engineering Inquiry
+Committee
+Michalis Vrigkas
+in partial fulfillment of the Requirements for the Degree of
+DOCTOR OF PHILOSOPHY
+February 2016"

+4bde15a51413fafa04193e72c15e132e7716d8a6,Performance Study of Fusion in Multimodal Biometric Verification using Ear and Iris Features,"International Conference on Research Trends in Computer Technologies (ICRTCT - 2013)
+Proceedings published in International Journal of Computer Applications® (IJCA) (0975 – 8887)
+Performance Study of Fusion in Multimodal Biometric
+Verification using Ear and Iris Features
+Poornima.S
+Department of IT, SSN College of Engineering
+Chennai, India."

+4b4763303a15a4c6313bfb386756437f394a0129,Explicit Inductive Bias for Transfer Learning with Convolutional Networks,"Explicit Inductive Bias for Transfer Learning with Convolutional Networks
+Xuhong LI 1 Yves GRANDVALET 1 Franck DAVOINE 1"

+4b8ce1bfedb285d8d609d1059dd0183420d63671,Transductive Multi-View Zero-Shot Learning,"Transductive Multi-view Zero-Shot Learning
+Yanwei Fu, Timothy M. Hospedales, Tao Xiang and Shaogang Gong"

+4be03fd3a76b07125cd39777a6875ee59d9889bd,Content-based analysis for accessing audiovisual archives: Alternatives for concept-based indexing and search,"CONTENT-BASED ANALYSIS FOR ACCESSING AUDIOVISUAL ARCHIVES:
+ALTERNATIVES FOR CONCEPT-BASED INDEXING AND SEARCH
+Tinne Tuytelaars
+ESAT/PSI - IBBT
+KU Leuven, Belgium"

+4baf3b165489122a1f8b574240c2a7fa9b6a7a14,Composite Statistical Inference for Semantic Segmentation,"Composite Statistical Inference for Semantic Segmentation
+Fuxin Li(1), Joao Carreira(2), Guy Lebanon(1), Cristian Sminchisescu(3)
+(1) Georgia Institute of Technology. (2) ISR - University of Coimbra. (3) Lund University"

+4bc67489bbe634271f8fde73a851d7a59946ed36,Wide area motion capture using an array of consumer grade structured light depthsensors,"Mälardalen University
+School of Innovation, Design and Engineering
+Bachelor thesis in Computer science
+Wide area motion capture using an array of
+onsumer grade structured light depth
+sensors
+Author:
+Karl Arvidsson
+Supervisor:
+Afshin Ameri
+Examiner:
+Baran Çürüklü
+October 20, 2015"

+4be63e7891180e28085d03bb992abbc5104ac446,Adapting a Pedestrian Detector by Boosting LDA Exemplar Classifiers,"Adapting a Pedestrian Detector by Boosting LDA Exemplar Classifiers
+Jiaolong Xu1, David V´azquez1, Sebastian Ramos1, Antonio M. L´opez1,2 and Daniel Ponsa1,2
+Computer Vision Center
+Dept. of Computer Science
+Autonomous University of Barcelona
+08193 Bellaterra, Barcelona, Spain
+{jiaolong, dvazquez, sramosp, antonio,"

+4b7d5b17c0daa35f682417c32e80022c6645dc7f,Fine-Grained Object Recognition and Zero-Shot Learning in Remote Sensing Imagery,"Fine-Grained Object Recognition and Zero-Shot
+Learning in Remote Sensing Imagery
+Gencer Sumbul, Ramazan Gokberk Cinbis, and Selim Aksoy, Senior Member, IEEE
+learning (ZSL)"

+4bfdbe2ffc6311c8a297355422d914cb666b358a,"On Boosting, Tug of War, and Lexicographic Programming","On Boosting, Tug of War, and Lexicographic
+Programming
+Shounak Datta, Sayak Nag, and Swagatam Das, Senior Member, IEEE"

+4bfe7037b2d92215aeb5e116988ade7e6733a6b9,Frontal contributions to face processing differences in autism: evidence from fMRI of inverted face processing.,"Journal of the International Neuropsychological Society (2008), 14, 922–932.
+Copyright © 2008 INS. Published by Cambridge University Press. Printed in the USA.
+doi:10.10170S135561770808140X
+SYMPOSIUM
+Frontal contributions to face processing differences
+in autism: Evidence from fMRI of inverted
+face processing
+SUSAN Y. BOOKHEIMER,1,2 A. TING WANG,3 ASHLEY SCOTT,1 MARIAN SIGMAN,1,2
+nd MIRELLA DAPRETTO 1
+Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles,
+Los Angeles, California
+Department of Psychology, University of California Los Angeles, Los Angeles, California
+Department of Psychiatry, Mount Sinai School of Medicine, New York, New York
+(Received January 8, 2008; Final Revision August 9, 2008; Accepted August 11, 2008)"

+4b0111182ace7443f060a64754ca23b2fc7e1d77,Face Recognition by Super-Resolved 3D Models From Consumer Depth Cameras,"Face Recognition by Super-Resolved 3D Models
+From Consumer Depth Cameras
+Stefano Berretti, Pietro Pala, Senior Member, IEEE, and Alberto del Bimbo, Member, IEEE
+the impact of"

+11943efec248fcac57ff6913424e230d0a02e977,Auxiliary Tasks in Multi-task Learning,"Auxiliary Tasks in Multi-task Learning
+Lukas Liebel
+Marco Körner
+Computer Vision Research Group, Chair of Remote Sensing Technology
+Technical University of Munich, Germany
+{lukas.liebel,
+Multi-task convolutional neural networks (CNNs) have shown impressive results for certain combinations of tasks, such
+s single-image depth estimation (SIDE) and semantic segmentation. This is achieved by pushing the network towards
+learning a robust representation that generalizes well to different atomic tasks. We extend this concept by adding
+uxiliary tasks, which are of minor relevance for the application, to the set of learned tasks. As a kind of additional
+regularization, they are expected to boost the performance of the ultimately desired main tasks. To study the proposed
+pproach, we picked vision-based road scene understanding (RSU) as an exemplary application. Since multi-task
+learning requires specialized datasets, particularly when using extensive sets of tasks, we provide a multi-modal dataset
+for multi-task RSU, called synMT. More than 2.5 · 105 synthetic images, annotated with 21 different labels, were
+cquired from the video game Grand Theft Auto V (GTA V). Our proposed deep multi-task CNN architecture was
+trained on various combination of tasks using synMT. The experiments confirmed that auxiliary tasks can indeed boost
+network performance, both in terms of final results and training time.
+Introduction
+Various applications require solving several atomic tasks from
+the computer vision domain using a single image as input. Such"

+1178beb48d666d7fc41b2d476f6a92450c0726c0,Challenges in Multi-modal Gesture Recognition,"Journal of Machine Learning Research 17 (2016) 1-54
+Submitted 11/14; Revised 1/16; Published 4/16
+Challenges in multimodal gesture recognition
+Sergio Escalera
+Computer Vision Center UAB and University of Barcelona
+Vassilis Athitsos
+University of Texas
+Isabelle Guyon
+ChaLearn, Berkeley, California
+Editors: Zhuowen Tu"

+1152b88194214d4ea0f85b727f4b120915ad8056,Exploiting feature dynamics for active object recognition,"Exploiting Feature Dynamics for Active
+Object Recognition
+Philipp Robbel and Deb Roy
+MIT Media Laboratory
+Cambridge, MA 02139, USA"

+11f7f939b6fcce51bdd8f3e5ecbcf5b59a0108f5,Rolling Riemannian Manifolds to Solve the Multi-class Classification Problem,"Rolling Riemannian Manifolds to Solve the Multi-class Classification Problem
+Rui Caseiro1, Pedro Martins1, João F. Henriques1, Fátima Silva Leite1,2, and Jorge Batista1
+Institute of Systems and Robotics - University of Coimbra, Portugal
+Department of Mathematics - University of Coimbra, Portugal ,
+{ruicaseiro, pedromartins, henriques,"

+111ff5420111751454a2f4f55b7bb75d837ed5f4,Automatic Annotation of Structured Facts in Images,"Proceedings of the 5th Workshop on Vision and Language, pages 1–9,
+Berlin, Germany, August 12 2016. c(cid:13)2016 Association for Computational Linguistics"

+11b00a4be68e9622d7b4698aca84da85aca3e288,Modeling Social Interactions in Real Work Environments,"Modeling Social Interactions in Real Work Environments
+Salvatore Vanini
+SUPSI-DTI
+via Cantonale
+6928 Manno, Switzerland
+Silvia Giordano
+SUPSI-DTI
+via Cantonale
+6928 Manno, Switzerland
+Dario Gallucci
+SUPSI-DTI
+via Cantonale
+6928 Manno, Switzerland
+Kamini Garg
+SUPSI-DTI
+via Cantonale
+6928 Manno, Switzerland
+Victoria Mirata
+FFHS-IFeL
+Überlandstrasse 12"

+115724ce1ce9422dad095b301c7d096498ad50d3,The E2E Dataset: New Challenges For End-to-End Generation,"Saarbr¨ucken, Germany, 15-17 August 2017. c(cid:13)2017 Association for Computational Linguistics
+Proceedings of the SIGDIAL 2017 Conference, pages 201–206,"

+11f73583ba373487967225ae4797d723ff367c1c,"End-to-end, sequence-to-sequence probabilistic visual odometry through deep neural networks","Article
+End-to-end, sequence-to-sequence
+probabilistic visual odometry through
+deep neural networks
+The International Journal of
+Robotics Research
+© The Author(s) 2017
+Reprints and permissions:
+sagepub.co.uk/journalsPermissions.nav
+DOI: 10.1177/0278364917734298
+journals.sagepub.com/home/ijr
+Sen Wang1,2, Ronald Clark3, Hongkai Wen4 and Niki Trigoni2"

+11691f1e7c9dbcbd6dfd256ba7ac710581552baa,SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos,"SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos
+Silvio Giancola, Mohieddine Amine, Tarek Dghaily, Bernard Ghanem
+King Abdullah University of Science and Technology (KAUST), Saudi Arabia"

+11bfc54a64ca69786323551bbf88b85b216ae486,Exploring the Facial Expression Perception-Production Link Using Real-Time Automated Facial Expression Recognition,"Exploring the Facial Expression
+Perception-Production Link Using Real-Time
+Automated Facial Expression Recognition
+David M. Deriso1, Josh Susskind1, Jim Tanaka2, Piotr Winkielman3,
+John Herrington4, Robert Schultz4, and Marian Bartlett1
+Machine Perception Laboratory, University of California, San Diego
+Department of Psychology, University of Victoria
+Department of Psychology, University of California, San Diego
+Center for Autism Research, Children’s Hospital of Philadelphia"

+11155ee686bfb675816a2acdf5a8ddf06e67b65f,EmoDetect – Smart Emotion Detection from Facial Expressions,"EmoDetect – Smart Emotion Detection from Facial Expressions
+Rishabh Animesh
+Skand Hurkat
+Abhinandan Majumdar
+Aayush Saxena
+ra523
+sh953
+m2352
+s2825"

+1149c6ac37ae2310fe6be1feb6e7e18336552d95,"Classification of Face Images for Gender, Age, Facial Expression, and Identity","Proc. Int. Conf. on Artificial Neural Networks (ICANN’05), Warsaw, LNCS 3696, vol. I, pp. 569-574, Springer Verlag 2005
+Classification of Face Images for Gender, Age,
+Facial Expression, and Identity1
+Torsten Wilhelm, Hans-Joachim B¨ohme, and Horst-Michael Gross
+Department of Neuroinformatics and Cognitive Robotics
+Ilmenau Technical University, P.O.Box 100565, 98684 Ilmenau, Germany"

+11f17191bf74c80ad0b16b9f404df6d03f7c8814,Recognition of Visually Perceived Compositional Human Actions by Multiple Spatio-Temporal Scales Recurrent Neural Networks,"Recognition of Visually Perceived Compositional
+Human Actions by Multiple Spatio-Temporal Scales
+Recurrent Neural Networks
+Haanvid Lee, Minju Jung, and Jun Tani"

+11467733103a3e58ae88cb238f620cf6cafd4420,Learning of Graphical Models and Efficient Inference for Object Class Recognition,"Learning of Graphical Models and Ef‌f‌icient
+Inference for Object Class Recognition
+Martin Bergtholdt, J¨org Kappes, and Christoph Schn¨orr
+Computer Vision, Graphics, and Pattern Recognition Group
+Department of Mathematics and Computer Science
+University of Mannheim, 68131 Mannheim, Germany"

+11a34bda2daecad5f7c1caa309897cc9cc334480,Person re-identification using view-dependent score-level fusion of gait and color features,"1st International Conference on Pattern Recognition (ICPR 2012)
+November 11-15, 2012. Tsukuba, Japan
+978-4-9906441-1-6 ©2012 IAPR"

+1172ce24f6e9242b9c26c84c6aa89a72ed8203d0,Find your own way: Weakly-supervised segmentation of path proposals for urban autonomy,"Find Your Own Way: Weakly-Supervised Segmentation of Path
+Proposals for Urban Autonomy
+Dan Barnes, Will Maddern and Ingmar Posner"

+11be33019f591214c8f79dbcb24a50d8f7fa5c95,Salgan 360 : Visual Saliency Prediction on 360 Degree Images with Generative Adversarial Networks,"SALGAN360: VISUAL SALIENCY PREDICTION ON 360 DEGREE IMAGES WITH
+GENERATIVE ADVERSARIAL NETWORKS
+Fang-Yi Chao, Lu Zhang, Wassim Hamidouche, Olivier Deforges
+Univ Rennes, INSA Rennes, CNRS, IETR - UMR 6164, F-35000 Rennes, France
+{fang-yi.chao, lu.ge, wassim.hamidouche,"

+1169f3386a49daccbe199cccb518238a0130a537,"Analyzing Complex Events and Human Actions in ""in-the-wild"" Videos",

+1151a81118368e7596843b8db2508e4974fd7435,A Testbed for Cross-Dataset Analysis,"A Testbed for Cross-Dataset Analysis
+Tatiana Tommasi and Tinne Tuytelaars
+ESAT-PSI/VISICS - iMinds, KU Leuven, Belgium"

+1119b4b038fd7d1d337d4aee232dea6c56f20cf1,A Sparse Embedding and Least Variance Encoding Approach to Hashing,"A Sparse Embedding and Least Variance Encoding
+Approach to Hashing
+Xiaofeng Zhu, Lei Zhang, Member, IEEE, Zi Huang"

+116261c74ad54646f7d1d6be38cb9930f1bf44f6,3D Twins and Expression Challenge,"D Twins and
+Expression Challenge
+Vipin Vijayan, Kevin W. Bowyer, and Patrick J. Flynn."

+1198572784788a6d2c44c149886d4e42858d49e4,Learning Discriminative Features using Encoder-Decoder type Deep Neural Nets,"Learning Discriminative Features using Encoder/Decoder type Deep
+Neural Nets
+Vishwajeet Singh1, Killamsetti Ravi Kumar2, K Eswaran3
+ALPES, Bolarum, Hyderabad 500010,
+ALPES, Bolarum, Hyderabad 500010,
+SNIST, Ghatkesar, Hyderabad 501301,"

+11ed823555aabf7e32df5b09a04111a686f8ebb6,Learning visual dictionaries and decision lists for object recognition,"CONFIDENTIAL. Limited circulation. For review only.
+Preprint submitted to 19th International Conference on Pattern Recognition.
+Received April 10, 2008."

+1183db5f409e8498d1a0f542703f908275a6dc34,Robust Visual Tracking and Vehicle Classification via Sparse Representation,"Robust Visual Tracking and Vehicle
+Classification via Sparse Representation
+Xue Mei and Haibin Ling, Member, IEEE"

+111f2f1255fa9e5a82753bf5b3f2f0974e87f86d,Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms,"Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms
+{tag}                                                 {/tag}
+International Journal of Computer Applications
+Foundation of Computer Science (FCS), NY, USA
+Volume 134
+Number 7
+Year of Publication: 2016
+Authors:
+Filani Araoluwa S., Adetunmbi Adebayo O.
+10.5120/ijca2016907932
+{bibtex}2016907932.bib{/bibtex}"

+11fe6d45aa2b33c2ec10d9786a71c15ec4d3dca8,Tied Factor Analysis for Face Recognition across Large Pose Differences,"JUNE 2008
+Tied Factor Analysis for Face Recognition
+cross Large Pose Differences
+Simon J.D. Prince, Member, IEEE, James H. Elder, Member, IEEE,
+Jonathan Warrell, Member, IEEE, and Fatima M. Felisberti"

+1134a6be0f469ff2c8caab266bbdacf482f32179,Facial Expression Identification Using Four-bit Co- Occurrence Matrixfeatures and K-nn Classifier,"IJRET: International Journal of Research in Engineering and Technology        eISSN: 2319-1163 | pISSN: 2321-7308
+FACIAL EXPRESSION IDENTIFICATION USING FOUR-BIT CO-
+OCCURRENCE MATRIXFEATURES AND K-NN CLASSIFIER
+Bonagiri  C S K Sunil Kumar1, V Bala Shankar2, Pullela S V V S R Kumar3
+,2,3 Department of Computer Science & Engineering, Aditya College of Engineering, Surampalem, East Godavari
+District, Andhra Pradesh, India"

+11d9bee72759e23f19117fc8cbb60b487e8ac79e,Benchmark Visual Question Answer Models by using Focus Map,"Benchmark Visual Question Answer Models by using Focus Map
+Wenda Qiu
+Yueyang Xianzang
+Zhekai Zhang
+Shanghai Jiaotong University"

+1131088237aacddcc078547b4455e8572c61766b,Object Referring in Videos with Language and Human Gaze,"Object Referring in Videos with Language and Human Gaze
+Arun Balajee Vasudevan1, Dengxin Dai1, Luc Van Gool1,2
+ETH Zurich1
+KU Leuven 2"

+111a9645ad0108ad472b2f3b243ed3d942e7ff16,Facial Expression Classification Using Combined Neural Networks,"Facial Expression Classification Using
+Combined Neural Networks
+Rafael V. Santos, Marley M.B.R. Vellasco, Raul Q. Feitosa, Ricardo Tanscheit
+DEE/PUC-Rio, Marquês de São Vicente 225, Rio de Janeiro – RJ - Brazil"

+11d04269aa147450f37215beb3ae44207daf3511,Using Visual Context and Region Semantics for High-Level Concept Detection,"Using Visual Context and Region Semantics for
+High-Level Concept Detection
+Phivos Mylonas, Member, IEEE, Evaggelos Spyrou, Student Member, IEEE, Yannis Avrithis, Member, IEEE, and
+Stefanos Kollias, Member, IEEE"

+11a7c4aadb47753c8d30cbda4ab347c361e4c66a,How to collect high quality segmentations: use human or computer drawn object boundaries?,"Boston University Computer Science Technical Report No. BUCS-TR-2013-20
+How to Collect High Quality Segmentations: Use Human or Computer Drawn
+Object Boundaries?
+Danna Gurari, Zheng Wu, Brett Isenberg, Chentian Zhang, Alberto Purwada, Joyce Y. Wong, Margrit Betke"

+11f732fe8f127c393cc8404ee8db2b3e85dd3d59,Disentangling Latent Factors with Whitening,"DISENTANGLING LATENT FACTORS WITH WHITENING
+Sangchul Hahn, Heeyoul Choi
+School of Information Technology
+{schahn21,
+Handong Global University
+Pohang, South Korea"

+111d0b588f3abbbea85d50a28c0506f74161e091,Facial Expression Recognition from Visual Information using Curvelet Transform,"International Journal of Computer Applications (0975 – 8887)
+Volume 134 – No.10, January 2016
+Facial Expression Recognition from Visual Information
+using Curvelet Transform
+Pratiksha Singh
+Surabhi Group of Institution Bhopal
+systems.  Further  applications"

+1120e88663a38ed05120af378f57ecf557660160,Generic Object Crowd Tracking by Multi-Task Learning,"LUOETAL.:GENERICOBJECTCROWDTRACKINGBYMULTI-TASKLEARNING
+Generic Object Crowd Tracking by
+Multi-Task Learning
+Wenhan Luo
+http://www.iis.ee.ic.ac.uk/~whluo
+Tae-Kyun Kim
+http://www.iis.ee.ic.ac.uk/~tkkim
+Department of Electrical and Electronic
+Engineering, Imperial College,
+London, UK"

+11feb48d2c4c8f8a5ed9054d49e7a13b0f75f2af,Feature Representation and Extraction for Image Search and Video Retrieval,"Chapter 1
+Feature Representation and Extraction for
+Image Search and Video Retrieval
+Qingfeng Liu, Yukhe Lavinia, Abhishek Verma, Joyoung Lee, Lazar Spasovic, and
+Chengjun Liu"

+7d92d82eae23fe872e8d29116ae22cbd0b15abce,Joint Image Clustering and Labeling by Matrix Factorization,"Joint Image Clustering and Labeling
+y Matrix Factorization
+Seunghoon Hong, Jonghyun Choi, Jan Feyereisl, Bohyung Han, Larry S. Davis"

+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.
+BP 20529, 60205 COMPIEGNE Cedex, FRANCE.
+E-mail:"

+7dce05b7765541b3fb49a144fb39db331c14fdd1,Modélisation et suivi des déformations faciales : applications à la description des expressions du visage dans le contexte de la langue des signes,"Modélisation et suivi des déformations faciales :
+pplications à la description des expressions du visage
+dans le contexte de la langue des signes
+Hugo Mercier
+To cite this version:
+Hugo Mercier. Modélisation et suivi des déformations faciales : applications à la description des
+expressions du visage dans le contexte de la langue des signes.
+Interface homme-machine [cs.HC].
+Université Paul Sabatier - Toulouse III, 2007. Français. <tel-00185084>
+HAL Id: tel-00185084
+https://tel.archives-ouvertes.fr/tel-00185084
+Submitted on 5 Nov 2007
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents"

+7da961cb039b1a01cad9b78d93bdfe2a69ed3ccf,Hierarchical Gaussian Descriptors with Application to Person Re-Identification,"Hierarchical Gaussian Descriptors with
+Application to Person Re-Identification
+Tetsu Matsukawa, Member, IEEE, Takahiro Okabe, Member, IEEE,
+Einoshin Suzuki, Non Member, IEEE and Yoichi Sato, Member, IEEE"

+7d7cfc8dc71967f93c2b5ec611747e63c06e1aa1,Crowd Counting and Profiling: Methodology and Evaluation,"Crowd Counting and Profiling: Methodology
+nd Evaluation
+Chen Change Loy, Ke Chen, Shaogang Gong, and Tao Xiang"

+7d6539d637f919fa20a9261e03aedcf59f92598e,Improving Cross-Resolution Face Matching Using Ensemble-Based Co-Transfer Learning,"Improving Cross-resolution Face Matching using
+Ensemble based Co-Transfer Learning
+Himanshu S. Bhatt, Student Member, IEEE, Richa Singh, Senior Member, IEEE, Mayank Vatsa, Senior
+Member, IEEE, and Nalini K. Ratha, Fellow, IEEE"

+7dfedb083fadb6822c07be82233588c31f37317c,FPGA-based IP cores implementation for face recognition using dynamic partial reconfiguration,"J Real-Time Image Proc (2013) 8:327–340
+DOI 10.1007/s11554-011-0221-x
+S P E C I A L I S S U E
+FPGA-based IP cores implementation for face
+recognition using dynamic partial reconfiguration
+Afandi Ahmad • Abbes Amira • Paul Nicholl •
+Benjamin Krill
+Received: 8 October 2010 / Accepted: 22 August 2011 / Published online: 14 September 2011
+Ó Springer-Verlag 2011"

+7dba0e39bb059103e10fb81bce2fe831f520fb38,Articulated human pose estimation in natural images,"Articulated Human Pose Estimation
+in Natural Images
+Samuel Alan Johnson
+Submitted in accordance with the requirements
+for the degree of Doctor of Philosophy.
+The University of Leeds
+School of Computing
+October 2012"

+7db00be42ded44f87f23661c49913f9d64107983,2d Face Recognition: an Experimental and Reproducible Research Survey,"D FACE RECOGNITION: AN
+EXPERIMENTAL AND REPRODUCIBLE
+RESEARCH SURVEY
+Manuel Günther        Laurent El Shafey
+Sébastien Marcel
+Idiap-RR-13-2017
+APRIL 2017
+Centre du Parc, Rue Marconi 19, P.O. Box 592, CH - 1920 Martigny
+T +41 27 721 77 11  F +41 27 721 77 12   www.idiap.ch"

+7d5a83495c4eff62c98c3fd27d0992850611b2bd,Enhanced Performance of Consensus Fault-tolerant Schemes for Decentralized 363 Unmanned Autonomous Vehicle System —,"Proceedings of the Pakistan Academy of Sciences:
+A. Physical and Computational Sciences 53 (4): 363–372 (2016)
+Copyright © Pakistan Academy of Sciences
+ISSN: 2518-4245 (print), 2518-4253 (online)
+Pakistan Academy of Sciences
+Research Article
+Enhanced Performance of Consensus Fault-tolerant Schemes for
+Decentralized Unmanned Autonomous Vehicle System
+Naeem Khan*, Aitzaz Ali, and Wasi Ullah
+Campus, Pakistan
+*Electrical Engineering Department, University of Engineering and Technology Peshawar, Bannu"

+7d7f60e41dd9cb84ac5754d59e5a8b418fc7a685,Image Caption Generator Based On Deep Neural Networks,"Image Caption Generator Based On Deep Neural Networks
+Jianhui Chen
+CPSC 503
+CS Department
+Wenqiang Dong
+CPSC 503
+CS Department
+Minchen Li
+CPSC 540
+CS Department"

+7dab6fbf42f82f0f5730fc902f72c3fb628ef2f0,An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks,"An Unsupervised Approach to Solving Inverse
+Problems using Generative Adversarial Networks
+Rushil Anirudh
+Center for Applied Scientific Computing
+Lawrence Livermore National Laboratory
+Jayaraman J. Thiagarajan
+Center for Applied Scientific Computing
+Lawrence Livermore National Laboratory
+Bhavya Kailkhura
+Timo Bremer
+Center for Applied Scientific Computing
+Lawrence Livermore National Laboratory
+Center for Applied Scientific Computing
+Lawrence Livermore National Laboratory"

+7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22,Labeled Faces in the Wild: A Survey,"Labeled Faces in the Wild: A Survey
+Erik Learned-Miller, Gary Huang, Aruni RoyChowdhury, Haoxiang Li, Gang Hua"

+7d73adcee255469aadc5e926066f71c93f51a1a5,Face alignment by deep convolutional network with adaptive learning rate,"978-1-4799-9988-0/16/$31.00 ©2016 IEEE
+ICASSP 2016"

+7de028e5c878b56057559bfbd57f1ce6482ec282,An Architecture for Agile Machine Learning in Real-Time Applications,"An Architecture for Agile Machine Learning
+in Real-Time Applications
+Johann Schleier-Smith
+San Francisco, CA 94111
+if(we) Inc.
+848 Battery St."

+7d6132a884d2b154059c461e107c7a8c41603ef7,Exploring Multi-Branch and High-Level Semantic Networks for Improving Pedestrian Detection,"Exploring Multi-Branch and High-Level Semantic
+Networks for Improving Pedestrian Detection
+Jiale Cao, Yanwei Pang, Senior Member, IEEE, and Xuelong Li, Fellow, IEEE"

+7d9fe410f24142d2057695ee1d6015fb1d347d4a,Facial Expression Feature Extraction Based on FastLBP,"Facial Expression Feature Extraction Based on
+FastLBP
+Computer and Information Engineering Department of Beijing Technology and Business University, Beijing, China
+Ya Zheng
+Email:
+Computer and Information Engineering Department of Beijing Technology and Business University, Beijing, China
+Email:
+Xiuxin Chen, Chongchong Yu and Cheng Gao
+facial  expression"

+7d9dbef9bacf1257e942121f82c3f411f2a78fff,Machine Learning Performance on Face Expression Recognition using Filtered Backprojection in DCT-PCA Domain,"Machine Learning Performance on Face Expression Recognition
+using Filtered Backprojection in DCT-PCA Domain.
+Ongalo Pheobe1, Huang DongJun2 and Richard Rimiru3
+1 School of Information Science and Engineering, Central South University
+Changsha, Hunan, 410083, PR China
+School of Information Science and Engineering, Central South University
+Changsha, Hunan, 410083, PR China
+School of Information Science and Engineering, Central South University
+Changsha, Hunan, 410083, PR China"

+7d841607ce29ff4a75734ffbf569431425d8342f,Bimodal 2D-3D face recognition using a two-stage fusion strategy,"Bimodal 2D-3D face recognition using a two-stage fusion
+strategy
+Amel AISSAOUI1 and Jean MARTINET2
+University of Science and Technologies
+Houari Boumediene
+Algiers, Algeria
+Email:
+CRIStAL
+Lille 1 University
+Villeneuve d’Ascq, France
+Email:"

+7dffe7498c67e9451db2d04bb8408f376ae86992,LEAR-INRIA submission for the THUMOS workshop,"LEAR-INRIA submission for the THUMOS workshop
+Heng Wang and Cordelia Schmid
+LEAR, INRIA, France"

+7d057676c9ba7b313adf0b191f64eb26ac2f9dd6,Variability in postnatal sex hormones due to the use of oral contraception and the phase of menstrual cycle influenced brain,"SEX DIFFERENCES AND THE ROLE OF SEX
+HORMONES IN FACE DEVELOPMENT AND FACE
+PROCESSING
+Klára Marečková, MSc.
+Thesis submitted to the University of Nottingham for the degree of
+Doctor of Philosophy
+JULY 2013"

+7dd654ac5e775fa1fa585e257565455ae8832caf,Deep Pictorial Gaze Estimation,"Deep Pictorial Gaze Estimation
+Seonwook Park, Adrian Spurr, and Otmar Hilliges
+AIT Lab, Department of Computer Science, ETH Zurich"

+7d3dd33950f4a1be56eb88c0791263b3e3a6deee,Object Counts! Bringing Explicit Detections Back into Image Captioning,"Object Counts! Bringing Explicit Detections Back into Image Captioning
+Josiah Wang, Pranava Madhyastha and Lucia Specia
+{j.k.wang, p.madhyastha,
+Department of Computer Science
+University of Sheffield, UK"

+7d3f6dd220bec883a44596ddec9b1f0ed4f6aca2,Linear Regression for Face Recognition,"Linear Regression for Face Recognition
+Imran Naseem,
+Roberto Togneri, Senior Member, IEEE, and
+Mohammed Bennamoun"

+7d30939e2d6f8b980910f4eeca5338d072f5ecb6,A Pylon Model for Semantic Segmentation,"A Pylon Model for Semantic Segmentation
+Victor Lempitsky
+Andrea Vedaldi
+Visual Geometry Group, University of Oxford∗
+Andrew Zisserman"

+7df103807902f45824329ab9b2a558b8baf950b2,Precise Localization in High-Definition Road Maps for Urban Regions,"Precise Localization in High-Definition Road Maps for Urban Regions
+Fabian Poggenhans1, Niels Ole Salscheider1 and Christoph Stiller2"

+294163a4126b3a886bf62ab896865ce3fc1147a8,Group Sparse Non-negative Matrix Factorization for Multi-Manifold Learning,BMVC 2011 http://dx.doi.org/10.5244/C.25.56

+29ce6b54a87432dc8371f3761a9568eb3c5593b0,Age Sensitivity of Face Recognition Algorithms,"Kent Academic Repository
+Full text document (pdf)
+Citation for published version
+Yassin, DK H. PHM and Hoque, Sanaul and Deravi, Farzin  (2013) Age Sensitivity of Face Recognition
+pp. 12-15.
+https://doi.org/10.1109/EST.2013.8
+Link to record in KAR
+http://kar.kent.ac.uk/43222/
+Document Version
+Author's Accepted Manuscript
+Copyright & reuse
+Content in the Kent Academic Repository is made available for research purposes. Unless otherwise stated all
+ontent is protected by copyright and in the absence of an open licence (eg Creative Commons), permissions
+for further reuse of content should be sought from the publisher, author or other copyright holder.
+Versions of research
+The version in the Kent Academic Repository may differ from the final published version.
+Users are advised to check http://kar.kent.ac.uk for the status of the paper. Users should always cite the
+published version of record.
+Enquiries
+For any further enquiries regarding the licence status of this document, please contact:"

+295266d09fde8f85e6e577b5181cbc73a1594b6b,Parallel effects of processing fluency and positive affect on familiarity-based recognition decisions for faces,"ORIGINAL RESEARCH ARTICLE
+published: 22 April 2014
+doi: 10.3389/fpsyg.2014.00328
+Parallel effects of processing fluency and positive affect on
+familiarity-based recognition decisions for faces
+Devin Duke*, Chris M. Fiacconi and Stefan Köhler*
+Department of Psychology, Brain and Mind Institute, Western University, London, ON, Canada
+Edited by:
+Kevin Bradley Clark, Veterans Affairs
+Greater Los Angeles Healthcare
+System, USA
+Reviewed by:
+Bernhard Hommel, Leiden
+University, Netherlands
+Sascha Topolinski, Universität
+Würzburg, Germany
+*Correspondence:
+Devin Duke and Stefan Köhler,
+Department of Psychology, Brain
+nd Mind Institute, Western"

+299ca90452aa8a7dd517de3ff3c9bf224d5100c7,Dynamic Scene Classification Using Redundant Spatial Scenelets,"Dynamic Scene Classification Using Redundant
+Spatial Scenelets
+Liang Du and Haibin Ling, Member, IEEE"

+29a6cbf089a8d916b563e02480a1844909754bcf,"The rules of implicit evaluation by race, religion, and age.","The Rules of Implicit Evaluation by Race, Religion, and Age
+Axt JR, Ebersole CR, Nosek BA.
+014; 25(9):1804-1815
+ARTICLE IDENTIFIERS
+DOI: 10.1177/0956797614543801
+PMID: 25079218
+PMCID: not available
+JOURNAL IDENTIFIERS
+LCCN: not available
+pISSN: 0956-7976
+eISSN: 1467-9280
+OCLC ID: not available
+CONS ID: not available
+US National Library of Medicine ID: not available
+This article was identified from a query of the SafetyLit database.
+Powered by TCPDF (www.tcpdf.org)"

+295d978cf47c873936ad774169cac651ea5f3c96,Monocular Depth Prediction using Generative Adversarial Networks,"018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops
+Monocular Depth Prediction using Generative Adversarial Networks
+Arun CS Kumar
+Suchendra M. Bhandarkar
+The University of Georgia
+Mukta Prasad
+Trinity College Dublin"

+2933da06df9e47da8e855266f5ff50e03c0ccd27,Combination of RGB-D Features for Head and Upper Body Orientation Classification,"Combination of RGB-D Features for Head and Upper
+Body Orientation Classification
+Laurent Fitte-Duval, Alhayat Ali Mekonnen, Frédéric Lerasle
+To cite this version:
+Laurent Fitte-Duval, Alhayat Ali Mekonnen, Frédéric Lerasle. Combination of RGB-D Features for
+Head and Upper Body Orientation Classification. Advanced Concepts for Intelligent Vision Systems
+, Oct 2016, Lecce, Italy. 2016. <hal-01763125>
+HAL Id: hal-01763125
+https://hal.laas.fr/hal-01763125
+Submitted on 10 Apr 2018
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+292c4bd6fa516393e9c8c5f1dae5afe0bb0ece35,Interacting Multiview Tracker,"Interacting Multiview Tracker
+Ju Hong Yoon, Ming-Hsuan Yang, Senior Member, IEEE, and Kuk-Jin Yoon"

+292eba47ef77495d2613373642b8372d03f7062b,Deep Secure Encoding: An Application to Face Recognition,"Deep Secure Encoding: An Application to Face Recognition
+Rohit Pandey
+Yingbo Zhou
+Venu Govindaraju"

+296afa5f7e99fc16df47f961c9539347732f7b13,GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks,"GradNorm: Gradient Normalization for Adaptive
+Loss Balancing in Deep Multitask Networks
+Zhao Chen 1 Vijay Badrinarayanan 1 Chen-Yu Lee 1 Andrew Rabinovich 1"

+29e96ec163cb12cd5bd33bdf3d32181c136abaf9,Regularized Locality Preserving Projections with Two-Dimensional Discretized Laplacian Smoothing,"Report No. UIUCDCS-R-2006-2748
+UILU-ENG-2006-1788
+Regularized Locality Preserving Projections with Two-Dimensional
+Discretized Laplacian Smoothing
+Deng Cai, Xiaofei He, and Jiawei Han
+July 2006"

+29933de38d72a0941d763b7ac5a480e733ef74a2,Open Set Logo Detection and Retrieval,"Open Set Logo Detection and Retrieval
+Andras T¨uzk¨o1, Christian Herrmann1,2, Daniel Manger1, J¨urgen Beyerer1,2
+Fraunhofer IOSB, Karlsruhe, Germany
+Karlsruhe Institute of Technology KIT, Vision and Fusion Lab, Karlsruhe, Germany
+Keywords:
+Logo Detection, Logo Retrieval, Logo Dataset, Trademark Retrieval, Open Set Retrieval, Deep Learning."

+290c8196341bbac80efc8c89af5fc60e1b8c80e6,Learning deep representations by mutual information estimation and maximization,"Learning deep representations by mutual information
+estimation and maximization
+R Devon Hjelm
+MSR Montreal, MILA, UdeM, IVADO
+Alex Fedorov
+MRN, UNM
+Samuel Lavoie-Marchildon
+MILA, UdeM
+Karan Grewal
+U Toronto
+Phil Bachman
+MSR Montreal
+Adam Trischler
+MSR Montreal
+Yoshua Bengio
+MILA, UdeM, IVADO, CIFAR"

+29e793271370c1f9f5ac03d7b1e70d1efa10577c,Face Recognition Based on Multi-classifierWeighted Optimization and Sparse Representation,"International Journal of Signal Processing, Image Processing and Pattern Recognition
+Vol.6, No.5 (2013), pp.423-436
+http://dx.doi.org/10.14257/ijsip.2013.6.5.37
+Face Recognition Based on Multi-classifierWeighted Optimization
+nd Sparse Representation
+Deng Nan1, Zhengguang Xu2 and ShengQin Bian3
+,2,3Institute of control science and engineering,
+University of Science and Technology Beijing
+,2,330 Xueyuan Road, Haidian District, Beijing 100083 P. R.China"

+294eef6848403520016bb2c93bfb71b3c75c73fa,Extension of Robust Principal Component Analysis for Incremental Face Recognition,"Extension of Robust Principal Component Analysis for Incremental Face
+Recognition
+Ha¨ıfa Nakouri and Mohamed Limam
+Institut Sup´erieur de Gestion, LARODEC Laboratory
+University of Tunis, Tunis, Tunisia
+Keywords:
+Image alignment, Robust Principal Component Analysis, Incremental RPCA."

+29c23c7d5d70aef54168ba20dccdd14f570901a3,Duplicate Discovery on 2 Billion Internet Images,"Duplicate Discovery on 2 Billion Internet Images
+Xin-Jing Wang, Lei Zhang
+Microsoft Research Asia
+5 Danling Street, Beijing, China
+fxjwang,"

+29c7dfbbba7a74e9aafb6a6919629b0a7f576530,Automatic Facial Expression Analysis and Emotional Classification,"Automatic Facial Expression Analysis and Emotional
+Classification
+Robert Fischer
+Submitted to the Department of Math and Natural Sciences
+in partial fulfillment of the requirements for the degree of a
+Diplomingenieur der Optotechnik und Bildverarbeitung (FH)
+(Diplom Engineer of Photonics and Image Processing)
+t the
+UNIVERSITY OF APPLIED SCIENCE DARMSTADT (FHD)
+Accomplished and written at the
+MASSACHUSETTS INSTITUTE OF TECHNOLOGY (MIT)
+October 2004
+Author . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
+Department of Math and Natural Sciences
+October 30, 2004
+Certified by . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
+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"

+293ca770a66313c9427dc71cf86bef7e1b94f2d9,Steerable part models,"Steerable Part Models
+Hamed Pirsiavash Deva Ramanan
+Department of Computer Science, University of California, Irvine"

+29a46aed79df53a1984ee755bed4c8ba2ae94040,Multiple Object Tracking Using K-Shortest Paths Optimization,"Multiple Object Tracking using
+K-Shortest Paths Optimization
+J´erˆome Berclaz, Franc¸ois Fleuret, Engin T¨uretken, and Pascal Fua, Senior Member, IEEE"

+29cf7937a1c1848c24b294569d50a2f7122de51b,MarioQA: Answering Questions by Watching Gameplay Videos,"MarioQA: Answering Questions by Watching Gameplay Videos
+Jonghwan Mun*
+Bohyung Han
+Paul Hongsuck Seo*
+Ilchae Jung
+Department of Computer Science and Engineering, POSTECH, Korea
+{choco1916, hsseo, chey0313,"

+29b1a44d1e1ffa05c2bf7f4be931c5045f427718,Review on Generic Object Recognition Techniques : Challenges and Opportunities,"International Journal of Advanced Research in Engineering and Technology
+(IJARET)
+Volume 6, Issue 12, Dec 2015, pp. 104-133, Article ID: IJARET_06_12_010
+Available online at
+http://www.iaeme.com/IJARET/issues.asp?JType=IJARET&VType=6&IType=12
+ISSN Print: 0976-6480 and ISSN Online: 0976-6499
+© IAEME Publication
+REVIEW ON GENERIC OBJECT
+RECOGNITION TECHNIQUES:
+CHALLENGES AND OPPORTUNITIES
+Prof. Deepika Shukla
+Comp. Science and Engineering Department,
+Institute of Technology, Nirma University, Ahmedabad, India
+Apurva Desai
+Department of Computer Science and Information Technology,
+VNSGU, Surat India"

+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
+DOI 10.1007/s11045-009-0099-y
+Perfect histogram matching PCA for face recognition
+Ana-Maria Sevcenco · Wu-Sheng Lu
+Received: 10 August 2009 / Revised: 21 November 2009 / Accepted: 29 December 2009 /
+Published online: 14 January 2010
+© Springer Science+Business Media, LLC 2010"

+29c5a44e01d1126505471b2ab46163d598c871c7,Improving Landmark Localization with Semi-Supervised Learning,"Improving Landmark Localization with Semi-Supervised Learning
+Sina Honari1∗, Pavlo Molchanov2, Stephen Tyree2, Pascal Vincent1,4,5, Christopher Pal1,3, Jan Kautz2
+MILA-University of Montreal, 2NVIDIA, 3Ecole Polytechnique of Montreal, 4CIFAR, 5Facebook AI Research.
+{honaris,
+{pmolchanov, styree,"

+29230bbb447b39b7fc3de7cb34b313cc3afe0504,Face Detection and Recognition Using Maximum Likelihood Classifiers on Gabor Graphs,"SPI-J068 00721
+International Journal of Pattern Recognition
+nd Artificial Intelligence
+Vol. 23, No. 3 (2009) 433–461
+(cid:1) World Scientific Publishing Company
+FACE DETECTION AND RECOGNITION USING MAXIMUM
+LIKELIHOOD CLASSIFIERS ON GABOR GRAPHS
+MANUEL G ¨UNTHER and ROLF P. W ¨URTZ
+Institut f¨ur Neuroinformatik
+Ruhr-Universit¨at Bochum
+D–44780 Bochum, Germany
+We present an integrated face recognition system that combines a Maximum Likelihood
+(ML) estimator with Gabor graphs for face detection under varying scale and in-plane
+rotation and matching as well as a Bayesian intrapersonal/extrapersonal classifier (BIC)
+on graph similarities for face recognition. We have tested a variety of similarity functions
+nd achieved verification rates (at FAR 0.1%) of 90.5% on expression-variation and 95.8%
+on size-varying frontal images within the CAS-PEAL database. Performing Experiment 1
+of FRGC ver2.0, the method achieved a verification rate of 72%.
+Keywords: Face recognition; Maximum Likelihood estimators; Gabor graphs.
+. Introduction"

+2939169aed69aa2626c5774d9b20e62c905e479b,Fast Exact HyperGraph Matching with Dynamic Programming for Spatio-Temporal Data,"Fast Exact Hyper-Graph Matching with Dynamic
+Programming for Spatio-Temporal Data
+Oya Celiktutan, Christian Wolf, Bülent Sankur, Eric Lombardi
+To cite this version:
+Oya Celiktutan, Christian Wolf, Bülent Sankur, Eric Lombardi. Fast Exact Hyper-Graph Matching
+with Dynamic Programming for Spatio-Temporal Data. Journal of Mathematical Imaging and Vision,
+Springer Verlag, 2015, 51, pp.1-21. <hal-01151755>
+HAL Id: hal-01151755
+https://hal.archives-ouvertes.fr/hal-01151755
+Submitted on 13 May 2015
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+29107badb19e7c5c89f57f81f50df08422e53304,Automatic localisation and segmentation of the Left Ventricle in Cardiac Ultrasound Images,"MASTER THESIS
+Automatic localisation and
+segmentation of the Left Ventricle in
+Cardiac Ultrasound Images
+Presented by:
+Esther PUYOL
+IG 3A F4B and MR 2A SISEA
+013/2014
+Supervisor:
+Paolo PIRO
+Academic supervisor:
+Guy CAZUGUEL
+MEDISYS - PHILIPS RESEARCH PARIS
+Company:
+University:
+TELECOM BRETAGNE
+7th March - 12th September 2014"

+29113ed00421953e0ddc4fa6784eaba60f05e801,Automatic Track Creation and Deletion Framework for Face Tracking,"IJCSNS International Journal of Computer Science and Network Security, VOL.15 No.2, February 2015
+Automatic Track Creation and Deletion Framework for Face
+Tracking
+Dept. of Information and Communication, St.Xavier’s Catholic College of Engineering, Nagercoil, Tamilnadu, India.
+Renimol T G, Anto Kumar R.P"

+290136947fd44879d914085ee51d8a4f433765fa,On a taxonomy of facial features,"On a Taxonomy of Facial Features
+Brendan Klare and Anil K. Jain"

+2957715e96a18dbb5ed5c36b92050ec375214aa6,InclusiveFaceNet: Improving Face Attribute Detection with Race and Gender Diversity,"Improving Face Attribute Detection with Race and Gender Diversity
+InclusiveFaceNet:
+Hee Jung Ryu 1 Hartwig Adam * 1 Margaret Mitchell * 1"

+29dbb9492292b574f7bfd8629d6801d3136887b7,Towards Autonomous Situation Awareness,"Towards Autonomous Situation Awareness
+Nikhil Naikal
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2014-124
+http://www.eecs.berkeley.edu/Pubs/TechRpts/2014/EECS-2014-124.html
+May 21, 2014"

+29b3f9f0fb821883a3c3bccbf0337c242c3b8a64,Transfer Learning for Video Recognition with Scarce Training Data,"Transfer Learning for Video Recognition
+with Scarce Training Data
+for Deep Convolutional Neural Network
+Yu-Chuan Su, Tzu-Hsuan Chiu, Chun-Yen Yeh, Hsin-Fu Huang, Winston H. Hsu"

+29a705a5fa76641e0d8963f1fdd67ee4c0d92d3d,SCface – surveillance cameras face database,"Multimed Tools Appl (2011) 51:863–879
+DOI 10.1007/s11042-009-0417-2
+SCface – surveillance cameras face database
+Mislav Grgic & Kresimir Delac & Sonja Grgic
+Published online: 30 October 2009
+# Springer Science + Business Media, LLC 2009"

+299af7d4fe6da8ac0b390e3ce45c48f7a8b5bb37,"Attribute And-Or Grammar for Joint Parsing of Human Attributes, Part and Pose","Attribute And-Or Grammar for Joint Parsing of
+Human Attributes, Part and Pose
+Seyoung Park, Bruce Xiaohan Nie and Song-Chun Zhu"

+29633712a36c3efc77ce3a9844a2e9a029daf310,AdaBoost for Parking Lot Occupation Detection,"AdaBoost for Parking Lot Occupation
+Detection
+Radovan Fusek1, Karel Mozdˇreˇn1, Milan ˇSurkala1 and Eduard Sojka1"

+29619496c688f8400a90fef79b4fa756967ed0f7,Head Gesture Recognition: A Literature Review,"International Conference on Innovative Research in Engineering, Science, Management and Humanities (ICIRESMH-2017)
+t (IETE) Institution of Electronics and Telecommunication Engineers, Lodhi Road, Delhi, India
+on 19th February 2017
+ISBN: 978-81-932712-5-4
+Head Gesture Recognition: A Literature Review
+Er. Rushikesh T. Bankar
+Ph. D Scholar,
+Department of Electronics Engineering,
+G. H. Raisoni College of Engineering,
+Nagpur, India.
+Dr. Suresh S. Salankar
+Dean SAC & Professor,
+Department of E&TC Engineering,
+G. H. Raisoni College of Engineering,
+Nagpur, India."

+2965d092ed72822432c547830fa557794ae7e27b,Improving Representation and Classification of Image and Video Data for Surveillance Applications,"Improving Representation and Classification of Image and
+Video Data for Surveillance Applications
+Andres Sanin
+BSc(Biol), MSc(Biol), MSc(CompSc)
+A thesis submitted for the degree of Doctor of Philosophy at
+The University of Queensland in 2012
+School of Information Technology and Electrical Engineering"

+29bd7de310438c2b9d8b6e7eb7df662079934747,Semantic Scene Mapping with Spatio-temporal Deep Neural Network for Robotic Applications,"Cogn Comput
+https://doi.org/10.1007/s12559-017-9526-9
+Semantic Scene Mapping with Spatio-temporal Deep Neural
+Network for Robotic Applications
+Ruihao Li1
+· Dongbing Gu1 · Qiang Liu1 · Zhiqiang Long2 · Huosheng Hu1
+Received: 25 September 2017 / Accepted: 31 October 2017
+© Springer Science+Business Media, LLC, part of Springer Nature 2017"

+29c6b06ac98dbdaf25e4cc9a05b4ab314923cccd,Assessment of the communicative and coordination skills of children with Autism Spectrum Disorders and typically developing children using social signal processing,"Research  in  Autism  Spectrum  Disorders  7  (2013)  741–756
+Contents  lists  available  at  SciVerse  ScienceDirect
+Research  in  Autism  Spectrum  Disorders
+J o u r  n a l  h o m e p a g e :  h t  t p : / / e e s . e l s e v i e r . c o m / R A  S D / d e f a u l t . a s p
+Assessment  of  the  communicative  and  coordination  skills  of
+hildren  with  Autism  Spectrum  Disorders  and  typically
+developing  children  using  social  signal  processing
+Emilie  Delaherche a,  Mohamed  Chetouani a,  Fabienne  Bigouret b,c,  Jean  Xavier c,
+Monique  Plaza a,  David  Cohen a,c,*
+Institute  of  Intelligent  Systems  and  Robotics,  University  Pierre  and  Marie  Curie,  75005  Paris,  France
+University  of  Paris  8,  93526  Saint-Denis,  France
+Department  of  Child  and  Adolescent  Psychiatry,  Hoˆpital  de  la  Pitie´-Salpeˆtrie`re,  University  Pierre  and  Marie  Curie,  75013  Paris,  France
+A  R  T  I  C  L  E
+I  N  F  O
+A  B  S  T  R  A  C  T
+Article  history:
+Received  27  November  2012
+Received  in  revised  form  5  February  2013
+Accepted  8  February  2013
+Keywords:"

+29ca8ddf79d4cd1dc20cc8160a6d3326933e943f,Pragmatic descriptions of perceptual stimuli,"Proceedings of the Student Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics,
+pages 1–10, Valencia, Spain, April 3-7 2017. c(cid:13)2017 Association for Computational Linguistics"

+2921719b57544cfe5d0a1614d5ae81710ba804fa,Face Recognition Enhancement Based on Image File Formats and Wavelet De - noising,"Face Recognition Enhancement Based on Image
+File Formats and Wavelet De-noising
+Isra’a Abdul-Ameer Abdul-Jabbar, Jieqing Tan, and Zhengfeng Hou"

+2914a20df10f3bb55c5d4764ece85101c1a3e5a8,User interest profiling using tracking-free coarse gaze estimation,"User Interest Profiling Using
+Tracking-free Coarse Gaze Estimation
+Federico Bartoli, Giuseppe Lisanti, Lorenzo Seidenari, Alberto Del Bimbo
+Media Integration and Communication Center
+Universit`a degli Studi di Firenze
+Firenze, Italy"

+291be6e3027575287c24f4363e4bf7a8b415d4c1,MSER-Based Real-Time Text Detection and Tracking,"To appear in the proceedings of the 2014 International Conference on Pattern Recognition.
+MSER-based Real-Time Text Detection and Tracking
+Llu´ıs G´omez and Dimosthenis Karatzas
+Computer Vision Center
+Universitat Aut`onoma de Barcelona
+Email:"

+29a013b2faace976f2c532533bd6ab4178ccd348,Hierarchical Manifold Learning With Applications to Supervised Classification for High-Resolution Remotely Sensed Images,"This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.
+Hierarchical Manifold Learning With Applications
+to Supervised Classification for High-Resolution
+Remotely Sensed Images
+Hong-Bing Huang, Hong Huo, and Tao Fang"

+29756b6b16d7b06ea211f21cdaeacad94533e8b4,Thresholding Approach based on GPU for Facial Expression Recognition,"Thresholding Approach based on GPU for Facial
+Expression Recognition
+Jesús García-Ramírez1, J. Arturo Olvera-López1, Ivan Olmos-Pineda1, Georgina
+Flores-Becerra2, Adolfo Aguilar-Rico2
+Benemérita Universidad Autónoma de Puebla, Faculty of Computer Science, Puebla, México
+Instituto Tecnológico de Puebla, Puebla, México"

+293193d24d5c4d2975e836034bbb2329b71c4fe7,Building a Corpus of Facial Expressions for Learning-Centered Emotions,"Building a Corpus of Facial Expressions
+for Learning-Centered Emotions
+María Lucía Barrón-Estrada, Ramón Zatarain-Cabada,
+Bianca Giovanna Aispuro-Medina, Elvia Minerva Valencia-Rodríguez,
+Ana Cecilia Lara-Barrera
+Instituto Tecnológico de Culiacán, Culiacán, Sinaloa,
+Mexico
+{lbarron, rzatarain, m06170904, m95170906, m15171452}"

+294bd7eb5dc24052237669cdd7b4675144e22306,Automatic Face Annotation,"International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Index Copernicus Value (2013): 6.14 | Impact Factor (2013): 4.438
+Automatic Face Annotation
+Ashna Shajahan
+M.Tech Student, Dept. of Computer Science & Engineering, Mount Zion College of Engineering, Pathanamthitta, Kerala, India"

+296502c6370cabd2b7e38e71cfc757d2e5fa2199,Detection of Deep Network Generated Images Using Disparities in Color Components,"Detection of Deep Network Generated Images
+Using Disparities in Color Components
+Haodong Li, Bin Li, Shunquan Tan, Jiwu Huang"

+2988f24908e912259d7a34c84b0edaf7ea50e2b3,A Model of Brightness Variations Due to Illumination Changes and Non-rigid Motion Using Spherical Harmonics,"A Model of Brightness Variations Due to
+Illumination Changes and Non-rigid Motion
+Using Spherical Harmonics
+Jos´e M. Buenaposada
+Alessio Del Bue
+Dep. Ciencias de la Computaci´on,
+U. Rey Juan Carlos, Spain
+http://www.dia.fi.upm.es/~pcr
+Inst. for Systems and Robotics
+Inst. Superior T´ecnico, Portugal
+http://www.isr.ist.utl.pt/~adb
+Enrique Mu˜noz
+Facultad de Inform´atica,
+U. Complutense de Madrid, Spain
+Luis Baumela
+Dep. de Inteligencia Artificial,
+U. Polit´ecnica de Madrid, Spain
+http://www.dia.fi.upm.es/~pcr
+http://www.dia.fi.upm.es/~pcr"

+29d591806cdc6ef0d580e4a21f32e5ad9d09d148,Large scale image annotation: learning to rank with joint word-image embeddings,"Large Scale Image Annotation:
+Learning to Rank with Joint Word-Image
+Embeddings
+Jason Weston1, Samy Bengio1, and Nicolas Usunier2
+Google, USA
+Universit´e Paris 6, LIP6, France"

+29f46586c95af2fa6326724c867aa88b55b5400e,Failure Prediction for Autonomous Driving,"Failure Prediction for Autonomous Driving
+Simon Hecker1, Dengxin Dai1, and Luc Van Gool1,2"

+7c9d8593cdf2f8ba9f27906b2b5827b145631a0b,MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, OCTOBER 2018
+MsCGAN: Multi-scale Conditional Generative
+Adversarial Networks for Person Image
+Generation
+Wei Tang∗, Teng Li 
+† Anhui University, HeFei, China
+Hefei University, HeFei, China
+§ Hefei University of Technology, HeFei, China"

+7c4864065f4e107cb5be49a8dba8cf7d94b8340f,Multi-target Tracking by Lagrangian Relaxation to Min-cost Network Flow,"Multi-target Tracking by Lagrangian Relaxation to Min-Cost Network Flow
+Asad A. Butt and Robert T. Collins
+The Pennsylvania State University, University Park, PA. 16802, USA"

+7c1db13ae2c62d1f860fd2664885c9c93a28cab8,Multistage Particle Windows for Fast and Accurate Object Detection,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.
+Multi-Stage Particle Windows for Fast and
+Accurate Object Detection
+Giovanni Gualdi, Andrea Prati, Member, IEEE, and Rita Cucchiara, Member, IEEE"

+7cee802e083c5e1731ee50e731f23c9b12da7d36,2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks,"B3C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional
+Networks
+Vandit Gajjar
+Department of Electronics and Communication Engineering and
+Computer Vision Group, L. D. College of Engineering, Ahmedabad, India"

+7c47da191f935811f269f9ba3c59556c48282e80,Robust eye centers localization with zero-crossing encoded image projections,"Robust Eye Centers Localization
+with Zero–Crossing Encoded Image Projections
+Laura Florea
+Image Processing and Analysis Laboratory
+University ”Politehnica” of Bucharest, Romania, Address Splaiul Independent¸ei 313
+Corneliu Florea
+Image Processing and Analysis Laboratory
+University ”Politehnica” of Bucharest, Romania, Address Splaiul Independent¸ei 313
+Constantin Vertan
+Image Processing and Analysis Laboratory
+University ”Politehnica” of Bucharest, Romania, Address Splaiul Independent¸ei 313"

+7cee2a2bee27657e6599b13f9ed6536d5f46fd0a,A Semantic Labeling Approach for Accurate Weed Mapping of High Resolution UAV Imagery,"Article
+A Semantic Labeling Approach for Accurate Weed
+Mapping of High Resolution UAV Imagery
+Huasheng Huang 1,2,†, Yubin Lan 1,2,†, Jizhong Deng 1,2,*, Aqing Yang 3, Xiaoling Deng 2,3,
+Lei Zhang 2,4 and Sheng Wen 2,5
+College of Engineering, South China Agricultural University, Wushan Road, Guangzhou 510642, China;
+(H.H.); (Y.L.)
+National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide
+Spraying Technology, Wushan Road, Guangzhou 510642, China; (X.D.);
+(L.Z.); (S.W.)
+College of Electronic Engineering, South China Agricultural University, Wushan Road, Guangzhou 516042,
+China;
+College of Agriculture, South China Agricultural University, Wushan Road, Guangzhou 516042, China
+Engineering Fundamental Teaching and Training Center, South China Agricultural University,
+Wushan Road, Guangzhou 510642, China
+* Correspondence: Tel.: +86-20-8528-8201
+These authors contributed equally to this work and should be considered as co-first authors.
+Received: 13 May 2018; Accepted: 27 June 2018; Published: 1 July 2018"

+7c25a4b2eaa7bf0bc4e0bd239f05d6c0d4cb3431,Fast Appearance-based Person Re-identification and Retrieval Using Dissimilarity Representations,"Fast Appearance-based Person Re-identification
+nd Retrieval Using Dissimilarity
+Representations
+Riccardo Satta, Giorgio Fumera, and Fabio Roli
+Dept. of Electrical and Electronic Engineering, University of Cagliari
+Piazza d’Armi, 09123 Cagliari, Italy
+e-mail: {satta, fumera,
+WWW: http://prag.diee.unica.it"

+7c45b5824645ba6d96beec17ca8ecfb22dfcdd7f,News Image Annotation on a Large Parallel Text-image Corpus,"News image annotation on a large parallel text-image corpus
+Pierre Tirilly, Vincent Claveau, Patrick Gros
+Universit´e de Rennes 1/IRISA, CNRS/IRISA, INRIA Rennes-Bretagne Atlantique
+Campus de Beaulieu
+5042 Rennes Cedex, France"

+7c18965f5573020f32b151a08178ee4906b5bf4c,Recursive Coarse-to-Fine Localization for Fast Object Detection,"Recursive Coarse-to-Fine Localization
+for fast Object Detection
+Marco Pedersoli, Jordi Gonz`alez, Andrew D. Bagdanov, and Juan J. Villanueva
+Dept. Ci`encies de la Computaci´o & Centre de Visi´o per Computador,
+Edifici O, Campus UAB 08193 Bellaterra (Cerdanyola) Barcelona, Spain"

+7c0a6824b556696ad7bdc6623d742687655852db,MPCA+MDA: A novel approach for face recognition based on tensor objects,"8th Telecommunications forum TELFOR 2010
+Serbia, Belgrade, November 23-25, 2010.
+MPCA+DATER: A Novel Approach for Face
+Recognition Based on Tensor Objects
+Ali. A. Shams Baboli, Member, IEEE, G. Rezai-rad, Member, IEEE, Aref. Shams Baboli"

+7c95449a5712aac7e8c9a66d131f83a038bb7caa,This is an author produced version of Facial first impressions from another angle: How social judgements are influenced by changeable and invariant facial properties. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/102935/,"This is an author produced version of Facial first impressions from another angle: How
+social judgements are influenced by changeable and invariant facial properties.
+White Rose Research Online URL for this paper:
+http://eprints.whiterose.ac.uk/102935/
+Article:
+Sutherland, Clare, Young, Andrew William orcid.org/0000-0002-1202-6297 and Gillian,
+Rhodes (2017) Facial first impressions from another angle: How social judgements are
+influenced by changeable and invariant facial properties. British journal of psychology. pp.
+97-415. ISSN 0007-1269
+https://doi.org/10.1111/bjop.12206
+promoting access to
+White Rose research papers
+http://eprints.whiterose.ac.uk/"

+7caca02d3c61271d22c43580677acb6d52b23503,What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?,"IJCV VISI manuscript No.
+(will be inserted by the editor)
+What Makes Good Synthetic Training Data for Learning
+Disparity and Optical Flow Estimation?
+Nikolaus Mayer · Eddy Ilg · Philipp Fischer · Caner Hazirbas · Daniel
+Cremers · Alexey Dosovitskiy · Thomas Brox
+Received: date / Accepted: date"

+7c3e09e0bd992d3f4670ffacb4ec3a911141c51f,Transferring Object-Scene Convolutional Neural Networks for Event Recognition in Still Images,"Noname manuscript No.
+(will be inserted by the editor)
+Transferring Object-Scene Convolutional Neural Networks for
+Event Recognition in Still Images
+Limin Wang · Zhe Wang · Yu Qiao · Luc Van Gool
+Received: date / Accepted: date"

+7c98c27f4be40a7675ba9c85179ce72d12593a7a,Training Bit Fully Convolutional Network for Fast Semantic Segmentation,"Training Bit Fully Convolutional Network for Fast Semantic Segmentation
+He Wen and Shuchang Zhou and Zhe Liang and Yuxiang Zhang and Dieqiao Feng and Xinyu Zhou and Cong Yao
+{wenhe, zsc, liangzhe, zyx, fdq, zxy,
+Megvii Inc."

+7c7b0550ec41e97fcfc635feffe2e53624471c59,"Head, Eye, and Hand Patterns for Driver Activity Recognition","051-4651/14 $31.00 © 2014 IEEE
+DOI 10.1109/ICPR.2014.124"

+7c8d57ca9cbefd1c2b3f4d45ab6791adba2d6bb4,Two-Stage Hashing for Fast Document Retrieval,"Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Short Papers), pages 495–500,
+Baltimore, Maryland, USA, June 23-25 2014. c(cid:13)2014 Association for Computational Linguistics"

+7c119e6bdada2882baca232da76c35ae9b5277f8,Facial expression recognition using embedded Hidden Markov Model,"Facial Expression Recognition Using Embedded
+Hidden Markov Model
+Languang He, Xuan Wang, Member, IEEE, Chenglong Yu, Member, IEEE, Kun Wu
+Intelligence Computing Research Center
+HIT Shenzhen Graduate School
+Shenzhen, China
+{telent, wangxuan, ycl, wukun}"

+7cd5d849212c294c452be009ff465ca7d3d923c8,A Brief Survey of Face Recognition Techniques,"(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:2)(cid:2)(cid:3)(cid:3)(cid:4)(cid:4)(cid:5)(cid:5)(cid:6)(cid:6)(cid:7)(cid:7)(cid:1)(cid:1)(cid:8)(cid:8)(cid:1)(cid:1)(cid:9)(cid:9)(cid:1)(cid:1)(cid:10)(cid:10)(cid:5)(cid:5)(cid:6)(cid:6)(cid:11)(cid:11)(cid:7)(cid:7)(cid:12)(cid:12)(cid:1)(cid:1)(cid:13)(cid:13)(cid:1)(cid:1)(cid:14)(cid:14)(cid:15)(cid:15)(cid:12)(cid:12)(cid:16)(cid:16)(cid:17)(cid:17)(cid:1)(cid:1)(cid:13)(cid:13)(cid:18)(cid:18)(cid:19)(cid:19)(cid:20)(cid:20)(cid:1)(cid:1)(cid:21)(cid:21)(cid:1)(cid:1)(cid:22)(cid:22)(cid:7)(cid:7)(cid:23)(cid:23)(cid:24)(cid:24)(cid:1)(cid:1)(cid:13)(cid:13)(cid:18)(cid:18)(cid:19)(cid:19)(cid:20)(cid:20)(cid:1)(cid:1)(cid:23)(cid:23)(cid:23)(cid:23)(cid:25)(cid:25)(cid:1)(cid:1)(cid:13)(cid:13)(cid:18)(cid:18)(cid:21)(cid:21)(cid:26)(cid:26)(cid:27)(cid:27)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)
+(cid:15)(cid:15)(cid:28)(cid:28)(cid:15)(cid:15)(cid:29)(cid:29)(cid:4)(cid:4)(cid:15)(cid:15)(cid:11)(cid:11)(cid:4)(cid:4)(cid:7)(cid:7)(cid:1)(cid:1)(cid:3)(cid:3)(cid:30)(cid:30)(cid:4)(cid:4)(cid:29)(cid:29)(cid:30)(cid:30)(cid:7)(cid:7)(cid:1)(cid:1)(cid:15)(cid:15)(cid:24)(cid:24)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:31)(cid:31)(cid:31)(cid:31)(cid:31)(cid:31)(cid:25)(cid:25)(cid:16)(cid:16)  !!(cid:3)(cid:3)(cid:5)(cid:5)(cid:12)(cid:12)(cid:30)(cid:30)(cid:15)(cid:15)(cid:4)(cid:4)    (cid:25)(cid:25)(cid:16)(cid:16)(cid:3)(cid:3)(cid:6)(cid:6)(cid:1)
+(cid:1)
+(cid:1)
+AA  BBrriieeff  SSuurrvveeyy  ooff  FFaaccee  RReeccooggnniittiioonn  TTeecchhnniiqquueess
+Nilam B. Goswami, Pinal Patel, Chirag I. Patel, Parth Parekh
+Post Graduation, CE and IT department, Government Engineering College, Gandhinagar, India"

+7c8adb2fa156b119a1f576652c39fb06e4e19675,Ordinal Regression using Noisy Pairwise Comparisons for Body Mass Index Range Estimation,"Ordinal Regression using Noisy Pairwise Comparisons for Body Mass Index
+Range Estimation
+Luisa F. Polan´ıa
+Dongning Wang
+Glenn M. Fung
+American Family Insurance, Strategic Data & Analytics, Madison, WI
+{lpolania, dwang1,"

+7c25ed788da1f5f61d8d1da23dd319dfb4e5ac2d,Human-In-The-Loop Person Re-Identification,"Human-In-The-Loop Person Re-Identification
+Hanxiao Wang, Shaogang Gong, Xiatian Zhu, and Tao Xiang"

+7c26559e7269679ef52a85d02c6ff7000c2387d2,Towards a Development of a Learners’ Ratified Acceptance of Multi-biometrics Intentions Model (RAMIM): Initial Empirical Results,"Yair Levy, Michelle M. Ramim
+Towards a Development of a Learners’ Ratified
+Acceptance of Multi-biometrics Intentions Model
+(RAMIM): Initial Empirical Results
+Graduate School of Computer and Information
+H. Wayne Huizenga School of Business and
+Nova Southeastern University, USA
+Nova Southeastern University, USA
+Yair Levy
+Sciences
+Michelle M. Ramim
+Entrepreneurship
+implemented  as"

+7c9a65f18f7feb473e993077d087d4806578214e,SpringerLink - Zeitschriftenbeitrag,"SpringerLink - Zeitschriftenbeitrag
+http://www.springerlink.com/content/93hr862660nl1164/?p=abe5352...
+Deutsch
+Deutsch
+Vorherige Beitrag    Nächste Beitrag
+Beitrag markieren
+In den Warenkorb legen
+Zu gespeicherten Artikeln
+hinzufügen
+Permissions & Reprints
+Diesen Artikel empfehlen
+Ergebnisse
+finden
+Erweiterte Suche
+im gesamten Inhalt
+in dieser Zeitschrift
+in diesem Heft
+Diesen Beitrag exportieren
+Diesen Beitrag exportieren als RIS
+| Text"

+7c0f7d47da05a41e8671b059ade70dd2df7070db,Face Recognition and Feature Detection Using Artificial Neural Networks and ANFIS,"International Journal of Emerging Technology and Advanced Engineering
+Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 5, Issue 7, July 2015)
+Face Recognition and Feature Detection Using Artificial
+Neural Networks and ANFIS
+Sanjay Kumar Dekate1, Dr. Anupam Shukla2
+Research Scholar, Dr. C. V. Raman University, Bilaspur, India
+Professor, ABV-IIITM, Gwalior, India"

+7c0ffae3acb0fd0a14ff66b6d474229aa16c53ab,Covariance Descriptor Multiple Object Tracking and Re-identification with Colorspace Evaluation,"Covariance Descriptor Multiple Object Tracking
+nd Re-Identification with Colorspace
+Evaluation
+Andr´es Romero, Mich`ele Gouiff´es and Lionel Lacassagne
+Institut d’´El´ectronique Fondamentale, UMR 8622, Universit´e Paris-Sud XI, Bˆatiment
+660, rue Noetzlin, Plateau du Moulon, 91400 Orsay"

+7c1e1c767f7911a390d49bed4f73952df8445936,Non-Rigid Object Detection with LocalInterleaved Sequential Alignment (LISA),"NON-RIGID OBJECT DETECTION WITH LOCAL INTERLEAVED SEQUENTIAL ALIGNMENT (LISA)
+Non-Rigid Object Detection with Local
+Interleaved Sequential Alignment (LISA)
+Karel Zimmermann, Member, IEEE,, David Hurych, Member, IEEE,
+nd Tom´aˇs Svoboda, Member, IEEE"

+7cf579088e0456d04b531da385002825ca6314e2,Emotion Detection on TV Show Transcripts with Sequence-based Convolutional Neural Networks,"Emotion Detection on TV Show Transcripts with
+Sequence-based Convolutional Neural Networks
+Sayyed M. Zahiri
+Jinho D. Choi
+Mathematics and Computer Science
+Mathematics and Computer Science
+Emory University
+Atlanta, GA 30322, USA
+Emory University
+Atlanta, GA 30322, USA"

+7c349932a3d083466da58ab1674129600b12b81c,Leveraging Multiple Features for Image Retrieval and Matching,

+16e2e9e4741795c004d15e95532b07943d3a3242,CPS: 3D Compositional Part Segmentation through Grasping,"CPS: 3D Compositional Part Segmentation through Grasping
+Safoura Rezapour Lakani
+University of Innsbruck
+Innsbruck, Austria
+Mirela Popa
+University of Innsbruck
+Innsbruck, Austria
+Antonio J. Rodr´ıguez-S´anchez
+University of Innsbruck
+Innsbruck, Austria
+Justus Piater
+University of Innsbruck
+Innsbruck, Austria"

+162403e189d1b8463952fa4f18a291241275c354,Action Recognition with Spatio-Temporal Visual Attention on Skeleton Image Sequences,"Action Recognition with Spatio-Temporal
+Visual Attention on Skeleton Image Sequences
+Zhengyuan Yang, Student Member, IEEE, Yuncheng Li, Jianchao Yang, Member, IEEE,
+nd Jiebo Luo, Fellow, IEEE
+With a strong ability of modeling sequential data, Recur-
+rent Neural Networks (RNN) with Long Short-Term Memory
+(LSTM) neurons outperform the previous hand-crafted feature
+ased methods [9], [10]. Each skeleton frame is converted into
+feature vector and the whole sequence is fed into the RNN.
+Despite the strong ability in modeling temporal sequences,
+RNN structures lack the ability to efficiently learn the spatial
+relations between the joints. To better use spatial information,
+hierarchical structure is proposed in [11], [12] that feeds
+the joints into the network as several pre-defined body part
+groups. However,
+limit
+the effectiveness of representing spatial relations. A spatio-
+temporal 2D LSTM (ST-LSTM) network [13] is proposed
+to learn the spatial and temporal relations simultaneously.
+Furthermore, a two-stream RNN structure [14] is proposed to"

+160259f98a6ec4ec3e3557de5e6ac5fa7f2e7f2b,Discriminant multi-label manifold embedding for facial Action Unit detection,"Discriminant Multi-Label Manifold Embedding for Facial Action Unit
+Detection
+Signal Procesing Laboratory (LTS5), ´Ecole Polytechnique F´ed´erale de Lausanne, Switzerland
+Anıl Y¨uce, Hua Gao and Jean-Philippe Thiran"

+16fdc3829dc8322a26eac46e93703000005f3d6d,An occlusion reasoning scheme for monocular pedestrian tracking in dynamic scenes,"An Occlusion Reasoning Scheme for Monocular
+Pedestrian Tracking in Dynamic Scenes
+Sourav Garg and Swagat Kumar
+Innovation Lab
+Tata Consultancy Services
+New Delhi, India 201301
+Email:
+Rajesh Ratnakaram and Prithwijit Guha
+Department of Electronics and Electrical Engineering
+Indian Institute of Technology Guwahati
+Guwahati, Assam, India 781039
+Email:"

+16671b2dc89367ce4ed2a9c241246a0cec9ec10e,Detecting the Number of Clusters in n-Way Probabilistic Clustering,"Detecting the Number of Clusters
+in n-Way Probabilistic Clustering
+Zhaoshui He, Andrzej Cichocki, Senior Member, IEEE,
+Shengli Xie, Senior Member, IEEE, and Kyuwan Choi"

+16bd796687ca17ac7ca28d28d856b324186628ba,Face Recognition and Verification Using Photometric Stereo: The Photoface Database and a Comprehensive Evaluation,"Face Recognition and Verification Using
+Photometric Stereo: The Photoface Database
+nd a Comprehensive Evaluation
+Stefanos Zafeiriou, Member, IEEE, Gary A. Atkinson, Mark F. Hansen, William A. P. Smith, Member, IEEE,
+Vasileios Argyriou, Member, IEEE, Maria Petrou, Senior Member, IEEE, Melvyn L. Smith, and Lyndon N. Smith"

+16395b40e19cbc6d5b82543039ffff2a06363845,Action Recognition in Video Using Sparse Coding and Relative Features,"Action Recognition in Video Using Sparse Coding and Relative Features
+Anal´ı Alfaro
+Domingo Mery
+Alvaro Soto
+P. Universidad Catolica de Chile
+P. Universidad Catolica de Chile
+P. Universidad Catolica de Chile
+Santiago, Chile
+Santiago, Chile
+Santiago, Chile"

+16e577820999e584c787ec611f55746cf9147518,Cross-Domain Person Reidentification Using Domain Adaptation Ranking SVMs,"Cross-Domain Person Re-Identification Using
+Domain Adaptation Ranking SVMs
+Andy J Ma, Jiawei Li, Pong C Yuen, Senior Member, IEEE, and Ping Li
+label"

+1696f6861c208b6a7cac95fbeba524867ad3e8d6,Using deep learning to quantify the beauty of outdoor places,"Downloaded from
+http://rsos.royalsocietypublishing.org/
+on September 4, 2017
+rsos.royalsocietypublishing.org
+Research
+Cite this article: Seresinhe CI, Preis T, Moat
+HS. 2017 Using deep learning to quantify the
+eauty of outdoor places. R. Soc. open sci.
+: 170170.
+http://dx.doi.org/10.1098/rsos.170170
+Received: 23 February 2017
+Accepted: 19 June 2017
+Subject Category:
+Computer science
+Subject Areas:
+environmental science/computer modelling
+nd simulation
+Keywords:
+environmental aesthetics, well-being,
+onvolutional neural networks, deep learning,"

+16d1e29b588fd26f5f0ac8038110f7b8500a1ec9,$L_0$ Regularized Stationary-Time Estimation for Crowd Analysis,"L0 Regularized Stationary-Time Estimation
+for Crowd Analysis
+Shuai Yi, Xiaogang Wang, Member, IEEE, Cewu Lu, Member, IEEE,
+Jiaya Jia, Senior Member, IEEE, and Hongsheng Li"

+16da7c95c218e9e97eea7734d6c243e8b825196d,A stable and accurate multi-reference representation for surfaces of R<sup>3</sup>: Application to 3D faces description,"A stable and accurate multi-reference representation for surfaces of
+R3: Application to 3D faces description
+Wieme Gadacha1, Faouzi Ghorbel1
+CRISTAL laboratory, GRIFT research group
+National School of Computer Sciences (NSCS), La Manouba 2010, Tunisia"

+1685ac0f9fedd83a178a2f64f25155fb37998d8f,Human tracking using wearable sensors in the pocket,"Human Tracking using Wearable Sensors in the
+Pocket
+Wenchao Jiang
+Department of Computer Science
+Zhaozheng Yin
+Department of Computer Science
+Missouri University of Science and Technology
+Missouri University of Science and Technology"

+166f42f66c5e6dd959548acfb97dc77a36013639,Bilevel Model-Based Discriminative Dictionary Learning for Recognition,"Bilevel Model-Based Discriminative Dictionary
+Learning for Recognition
+Pan Zhou, Chao Zhang, Member, IEEE, and Zhouchen Lin, Senior Member, IEEE"

+16c884be18016cc07aec0ef7e914622a1a9fb59d,Exploiting Multimodal Data for Image Understanding,"UNIVERSITÉ DE GRENOBLE
+No attribué par la bibliothèque
+THÈSE
+pour obtenir le grade de
+DOCTEUR DE L’UNIVERSITÉ DE GRENOBLE
+Spécialité : Mathématiques et Informatique
+préparée au Laboratoire Jean Kuntzmann
+dans le cadre de l’École Doctorale Mathématiques,
+Sciences et Technologies de l’Information, Informatique
+présentée et soutenue publiquement
+Matthieu Guillaumin
+le 27 septembre 2010
+Exploiting Multimodal Data for Image Understanding
+Données multimodales pour l’analyse d’image
+Directeurs de thèse : Cordelia Schmid et Jakob Verbeek
+M. Éric Gaussier
+M. Antonio Torralba
+Mme Tinne Tuytelaars Katholieke Universiteit Leuven
+M. Mark Everingham University of Leeds
+Mme Cordelia Schmid"

+16aec3ee9a97162b85b1d51c3c5ce73a472e74b8,Application of Selective Search to Pose estimation,"Application of Selective Search to Pose estimation
+Ujwal Krothapalli
+Department of Electrical and
+Computer Engineering
+Virginia Tech
+Blacksburg, Virginia 24061"

+16c855aea9789e2b7a77f35dc4181efc93dec69c,Exploiting Sum of Submodular Structure for Inference in Very High Order MRF-MAP Problems,"SUBMITTED TO IEEE TPAMI
+Exploiting Sum of Submodular Structure for
+Inference in Very High Order MRF-MAP
+Problems
+Ishant Shanu Surbhi Goel Chetan Arora Parag Singla"

+163738c0f74ec82ab670a868a051edb732543b6e,Image alignment with rotation manifolds built on sparse geometric expansions,"Image alignment with rotation manifolds built
+on sparse geometric expansions
+Effrosyni Kokiopoulou and Pascal Frossard
+Ecole Polytechnique F´ed´erale de Lausanne (EPFL)
+Signal Processing Institute - ITS
+CH- 1015 Lausanne, Switzerland"

+1630e839bc23811e340bdadad3c55b6723db361d,Exploiting relationship between attributes for improved face verification,"SONG, TAN, CHEN: EXPLOITING RELATIONSHIP BETWEEN ATTRIBUTES
+Exploiting Relationship between Attributes for
+Improved Face Verification
+Fengyi Song
+Xiaoyang Tan
+Songcan Chen
+Department of Computer Science and
+Technology, Nanjing University of Aero-
+nautics and Astronautics, Nanjing 210016,
+P.R. China"

+160ab0e879f4451fa4df88cd567508150894ba9d,Cross Dataset Person Re-identification,"Cross Dataset Person Re-identification
+Yang Hu, Dong Yi, Shengcai Liao, Zhen Lei, Stan Z. Li(cid:63)
+Center for Biometrics and Security Research
+National Laboratory of Pattern Recognition
+Institute of Automation, Chinese Academy of Sciences (CASIA)
+95 Zhongguancun East Road, 100190, Beijing, China
+{yhu, dong.yi, scliao, zlei,"

+16597862a1df1a983c439e82e0462424f538bb48,Personalized Saliency and its Prediction,

+166b5bdea1f4f850af5b045a953d6de74bc18d1e,Best of both worlds: Human-machine collaboration for object annotation,"Best of both worlds: human-machine collaboration for object annotation
+Olga Russakovsky1, Li-Jia Li2, Li Fei-Fei1
+Stanford University. 2Snapchat (this work was done while at Yahoo! Labs).
+The long-standing goal of localizing every object in an image remains
+elusive. Manually annotating objects is quite expensive despite crowd en-
+gineering innovations. Current automatic object detectors can accurately
+detect at most a few objects per image. This paper brings together the latest
+dvancements in object detection and in crowd engineering into a principled
+framework for accurately and efficiently localizing objects in images.
+The input to the system is an image to annotate and a set of annotation
+onstraints: (1) desired utility of labeling, which is a generalization of the
+number of labeled objects, (2) desired precision of the labeling and/or (3)
+the budget, which is the human cost of the labeling. Our system automati-
+ally solicits feedback from human workers (“users”) to annotate the image
+subject to these constraints, as illustrated in Figure 1. The output is a set of
+object annotations, informed by humans and computer vision.
+One important decision is which questions to pose to the human label-
+ers. In computer vision with human-in-the-loop approaches, human inter-
+vention has ranged from binary question-and-answer [1] to attribute-based
+feedback [4] to free-form object annotation [6]. Binary questions are not"

+161c9ef7114bda7c5a60a29ee4a3161b0a76e676,Low Rank Approximation and Decomposition of Large Matrices Using Error Correcting Codes,"Low rank approximation and decomposition of
+large matrices using error correcting codes
+Shashanka Ubaru, Arya Mazumdar Senior Member, IEEE, and Yousef Saad"

+16286fb0f14f6a7a1acc10fcd28b3ac43f12f3eb,"All Smiles are Not Created Equal: Morphology and Timing of Smiles Perceived as Amused, Polite, and Embarrassed/Nervous.","J Nonverbal Behav
+DOI 10.1007/s10919-008-0059-5
+O R I G I N A L P A P E R
+All Smiles are Not Created Equal: Morphology
+nd Timing of Smiles Perceived as Amused, Polite,
+nd Embarrassed/Nervous
+Zara Ambadar Æ Jeffrey F. Cohn Æ Lawrence Ian Reed
+Ó Springer Science+Business Media, LLC 2008"

+165d966940dcccf9c9976ebffcabe72d66996b05,Semi-Supervised Nonlinear Hashing Using Bootstrap Sequential Projection Learning,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.
+Semi-supervised Nonlinear Hashing Using
+Bootstrap Sequential Projection Learning
+Chenxia Wu, Jianke Zhu, Deng Cai, Chun Chen, and Jiajun Bu"

+1697a4188b9f75ff5324eb9957b8317f459bbf59,Dual-tree fast exact max-kernel search,"Dual-Tree Fast Exact Max-Kernel Search
+Ryan R. Curtin and Parikshit Ram
+December 11, 2013"

+16e8d439fbcf8311efea7b0baeb1a5340272b396,Stereo and LIDAR Fusion based Detection of Humans and Other Obstacles in Farming Scenarios,

+166186e551b75c9b5adcc9218f0727b73f5de899,Automatic Age and Gender Recognition in Human Face Image Dataset using Convolutional Neural Network System,"Volume 4, Issue 2, February 2016
+International Journal of Advance Research in
+Computer Science and Management Studies
+Research Article / Survey Paper / Case Study
+Available online at: www.ijarcsms.com
+ISSN: 2321-7782 (Online)
+Automatic Age and Gender Recognition in Human Face Image
+Dataset using Convolutional Neural Network System
+Subhani Shaik1
+Assoc. Prof & Head of the Department
+Department of CSE,
+Anto A. Micheal2
+Associate Professor
+Department of CSE,
+St.Mary’s Group of Institutions Guntur
+St.Mary’s Group of Institutions Guntur
+Chebrolu(V&M),Guntur(Dt),
+Andhra Pradesh - India
+Chebrolu(V&M),Guntur(Dt),
+Andhra Pradesh - India"

+16d9b983796ffcd151bdb8e75fc7eb2e31230809,GazeDirector: Fully Articulated Eye Gaze Redirection in Video,"EUROGRAPHICS 2018 / D. Gutierrez and A. Sheffer
+(Guest Editors)
+Volume 37 (2018), Number 2
+GazeDirector: Fully Articulated Eye Gaze Redirection in Video
+ID: paper1004"

+165abb6fdbadae997135feec447fc825edb31c6c,Dimensionality Reduction with Simultaneous Sparse Approximations,"SCHOOL OF ENGINEERING - STI
+SIGNAL PROCESSING INSTITUTE
+EffrosyniKokiopoulouandPascalFrossard
+CH-1015 LAUSANNE
+Telephone: +41216932601
+Telefax: +41216937600
+e-mail:
+ÉCOLE   POLYTECHNIQUE(cid:13)
+FÉDÉRALE DE LAUSANNE
+DIMENSIONALITY REDUCTION WITH
+SIMULTANEOUS SPARSE APPROXIMATIONS
+Effrosyni Kokiopoulou and Pascal Frossard
+Swiss Federal Institute of Technology Lausanne (EPFL)
+Signal Processing Institute Technical Report
+TR-ITS-2006.010
+October 21st, 2006
+Part of this work has been submitted to IEEE TMM.
+This work has been supported by the Swiss NSF, under grants PP-002-68737, and NCCR IM2."

+162c33a2ec8ece0dc96e42d5a86dc3fedcf8cd5e,Large-Scale Classification by an Approximate Least Squares One-Class Support Vector Machine Ensemble,"Mygdalis, V., Iosifidis, A., Tefas, A., & Pitas, I. (2016). Large-Scale
+Classification by an Approximate Least Squares One-Class Support Vector
+of a meeting held 20-22 August 2015, Helsinki, Finland (Vol. 2, pp. 6-10).
+Institute of Electrical and Electronics Engineers (IEEE). DOI:
+0.1109/Trustcom.2015.555
+Peer reviewed version
+Link to published version (if available):
+0.1109/Trustcom.2015.555
+Link to publication record in Explore Bristol Research
+PDF-document
+University of Bristol - Explore Bristol Research
+General rights
+This document is made available in accordance with publisher policies. Please cite only the published
+version using the reference above. Full terms of use are available:
+http://www.bristol.ac.uk/pure/about/ebr-terms"

+16e8b0a1e8451d5f697b94c0c2b32a00abee1d52,UMB-DB: A database of partially occluded 3D faces,"UMB-DB
+A Database of Partially Occluded 3D Faces
+Alessandro Colombo
+Claudio Cusano
+Raimondo Schettini
+Universit`a degli Studi di Milano-Bicocca
+3 November 2011"

+16bd481fb66259df9c4c22b54797d8e8adc910fc,Robustifying Descriptor Instability Using Fisher Vectors,"Robustifying Descriptor Instability
+using Fisher Vectors
+Ivo Everts, Jan C. van Gemert, Thomas Mensink, Theo Gevers, Member, IEEE"

+1654fadee3e70d744a4eb231932b87c41c1e3ae5,Survey on Emotional Body Gesture Recognition,"JOURNAL OF IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, VOL. XX, NO. X, XXX 201X
+Survey on Emotional Body Gesture Recognition
+Fatemeh Noroozi, Ciprian Adrian Corneanu, Dorota Kami´nska, Tomasz Sapi´nski, Sergio Escalera,
+nd Gholamreza Anbarjafari,"

+161eb9ecc119952c137959e87a796da0f3c62cd1,Eye tracking in early autism research,"Falck-Ytter et al. Journal of Neurodevelopmental Disorders 2013, 5:28
+http://www.jneurodevdisorders.com/content/5/1/28
+R EV I E W
+Eye tracking in early autism research
+Terje Falck-Ytter1,2*, Sven Bölte1,3 and Gustaf Gredebäck2
+Open Access"

+16647dc1bc87ba1e7b8bcd7e1ea8ccebcfe20fa5,Psychometric properties of reaction time based experimental paradigms measuring anxiety-related information-processing biases in children,"PDF hosted at the Radboud Repository of the Radboud University
+Nijmegen
+The following full text is a publisher's version.
+For additional information about this publication click this link.
+http://repository.ubn.ru.nl/handle/2066/126858
+Please be advised that this information was generated on 2018-10-16 and may be subject to
+hange."

+1670729d1edc9bc6103ee823f1137d302be41397,Patch-based Object Recognition Using Discriminatively Trained Gaussian Mixtures,"Patch-based Object Recognition Using
+Discriminatively Trained Gaussian Mixtures
+Andre Hegerath, Thomas Deselaers, and Hermann Ney
+Human Language Technology and Pattern Recognition Group,
+RWTH Aachen University – D-52056 Aachen, Germany
+{hegerath, deselaers,"

+16bfd904f5a76bb52d5cd8a25721277047a02e89,Blindfold Baselines for Embodied QA,"Blindfold Baselines for Embodied QA
+Ankesh Anand1 Eugene Belilovsky1 Kyle Kastner1 Hugo Larochelle2,1 Aaron Courville1,3
+Mila
+Google Brain 3CIFAR Fellow"

+161eb88031f382e6a1d630cd9a1b9c4bc6b47652,Automatic facial expression recognition using features of salient facial patches,"Automatic Facial Expression Recognition
+Using Features of Salient Facial Patches
+S L Happy and Aurobinda Routray"

+16f48e8b7f1f6c03c888e3f4664ce3fa1261296b,Steganographic Generative Adversarial Networks,"Steganographic Generative Adversarial Networks
+Denis Volkhonskiy1,2,3, Ivan Nazarov1,2, Boris Borisenko3 and Evgeny Burnaev1,2,3
+Skolkovo Institute of Science and Technology
+The Institute for Information Transmission Problems RAS (Kharkevich Institute)
+National Research University Higher School of Economics (HSE)"

+4209783b0cab1f22341f0600eed4512155b1dee6,Accurate and Efficient Similarity Search for Large Scale Face Recognition,"Accurate and Efficient Similarity Search for Large Scale Face Recognition
+Ce Qi
+Zhizhong Liu
+Fei Su"

+42e3dac0df30d754c7c7dab9e1bb94990034a90d,PANDA: Pose Aligned Networks for Deep Attribute Modeling,"PANDA: Pose Aligned Networks for Deep Attribute Modeling
+Ning Zhang1,2, Manohar Paluri1, Marc’Aurelio Ranzato1, Trevor Darrell2, Lubomir Bourdev1
+EECS, UC Berkeley
+{mano, ranzato,
+Facebook AI Research
+{nzhang,"

+422fc05b3ef72e96c87b9aa4190efa7c7fb8c170,Preprocessing Technique for Face Recognition Applications under Varying Illumination Conditions,"Global Journal of Computer Science and Technology
+Graphics & Vision
+Volume 12 Issue 11 Version 1.0 Year 2012
+Type: Double Blind Peer Reviewed International Research Journal
+Publisher: Global Journals Inc. (USA)
+Online ISSN: 0975-4172 & Print ISSN: 0975-4350
+Preprocessing  Technique  for  Face  Recognition  Applications
+under Varying Illumination Conditions
+By S.Anila & Dr.N.Devarajan
+Sri Ramakrishna Institute of Technology, Coimbatore-10, Tamil Nadu, India"

+42c645df49106b68a71abe757ac13245db4be394,A New Method of Illumination Normalization for Robust Face Recognition,"A New Method of Illumination Normalization
+for Robust Face Recognition
+Young Kyung Park, Bu Cheon Min, and Joong Kyu Kim
+School of Information and Communication Engineering, SungKyunKwan University.
+00, Chun-Chun-Dong, Chang-An-Ku, Suwon, Korea 440-746
+{multipym,"

+4244d3340304b114e5c00e7b5797d2338a5c2b82,Face Recognition Using Local Texture Feature,"International Journal of Computer Engineering and Applications,
+Volume XII, Issue I, Jan. 18, www.ijcea.com ISSN 2321-3469
+FACE RECOGNITION USING LOCAL TEXTURE FEATURE
+Pavan.M 1, Sayed Aftab Ahamed 2
+Dept. of Information Science & engineering, J.N.N.C.E
+Shimoga, Karnataka, India"

+429b8d5bb05e1a580fad0222b9e9496985465e40,"See No Evil, Say No Evil: Description Generation from Densely Labeled Images","Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014), pages 110–120,
+Dublin, Ireland, August 23-24 2014.
+(Count:3) Isa: ride, vehicle,… Doing: parking,… Has: steering wheel,… Attrib: black, shiny,… children (Count:2) Isa: kids, children … Doing: biking, riding … Has: pants, bike … Attrib: young, small … bike (Count:1) Isa: bike, bicycle,… Doing: playing,… Has: chain, pedal,… Attrib: silver, white,… women(Count:3) Isa: girls, models,… Doing: smiling,...  Has: shorts, bags,… Attrib: young, tan,… purses(Count:3) Isa: accessory,… Doing: containing,… Has: body, straps,… Attrib: black, soft,… sidewalk(Count:1) Isa: sidewalk, street,… Doing: laying,… Has: stone, cracks,… Attrib: flat, wide,… woman(Count:1) Isa: person, female,… Doing: pointing,… Has: nose, legs,… Attrib: tall, skinny,… tree(Count:1) Isa: plant,… Doing: growing,… Has: branches,… Attrib: tall, green,… kids(Count:5) Isa: group, teens,… Doing: walking,… Has: shoes, bags,… Attrib: young,… Fiveyoungpeopleonthestreet,twosharingabicycle.Severalyoungpeoplearewalkingnearparkedvehicles.Threegirlswithlargehandbagswalkingdownthesidewalk.Threewomenwalkdownacitystreet,asseenfromabove.Threeyoungwomanwalkingdownasidewalklookingup.Figure1:Anannotatedimagewithhumangeneratedsen-tencedescriptions.Eachboundingpolygonencompassesoneormoreobjectsandisassociatedwithacountandtextla-bels.Thisimagehas9highlevelobjectsannotatedwithover250textuallabels.tomuchofthevisualcontentneededtogeneratecomplete,human-likesentences.Inthispaper,weinsteadstudygenerationwithmorecompletevisualsupport,asprovidedbyhu-manannotations,allowingustodevelopmorecomprehensivemodelsthanpreviouslyconsid-ered.Suchmodelshavethedualbenefitof(1)providingnewinsightsintohowtoconstructmorehuman-likesentencesand(2)allowingustoper-formexperimentsthatsystematicallystudythecontributionofdifferentvisualcuesingeneration,suggestingwhichautomaticdetectorswouldbemostbeneficialforgeneration.Inanefforttoapproximaterelativelycompletevisualrecognition,wecollectedmanuallylabeledrepresentationsofobjects,parts,attributesandac-tivitiesforabenchmarkcaptiongenerationdatasetthatincludesimagespairedwithhumanauthored"

+421387011b5cdd2cb4a1fdf04728d350741a0ac1,Incidental memory for faces in children with different genetic subtypes of Prader-Willi syndrome,"Social Cognitive and Affective Neuroscience, 2017, 918–927
+doi: 10.1093/scan/nsx013
+Advance Access Publication Date: 17 February 2017
+Original article
+Incidental memory for faces in children with different
+genetic subtypes of Prader-Willi syndrome
+Alexandra P. Key,1,2 and Elisabeth M. Dykens1,3
+Vanderbilt Kennedy Center for Research on Human Development, 2Department of Hearing and Speech
+Sciences, Vanderbilt University Medical Center, and 3Department of Psychology and Human Development,
+Vanderbilt University, Nashville, TN 37203, USA
+Correspondence should be addressed to Alexandra P. Key, Vanderbilt Kennedy Center, Peabody Box 74, Vanderbilt University, Nashville, TN 37203, USA.
+E-mail:"

+42f4653f0693f16e087e4b913407d9b0278154c9,3D Human Action Recognition with Siamese-LSTM Based Deep Metric Learning,"D Human Action Recognition with Siamese-
+LSTM Based Deep Metric Learning
+VisLab, Department of Computer Engineering, Gebze Technical University, Kocaeli, Turkey
+Seyma Yucer and Yusuf Sinan Akgul
+Email: {syucer,"

+42afe5fd3f7b1d286a20e9306c6bc8624265f658,Face Detection Using the 3×3 Block Rank Patterns of Gradient Magnitude Images,"Signal & Image Processing : An International Journal (SIPIJ) Vol.4, No.5, October 2013
+FACE DETECTION USING THE 3×3 BLOCK RANK
+PATTERNS OF GRADIENT MAGNITUDE IMAGES
+Kang-Seo Park, Young-Gon Kim, and Rae-Hong Park
+Department of Electronic Engineering, School of Engineering, Sogang University,
+5 Baekbeom-ro (Sinsu-dong), Mapo-gu, Seoul 121-742, Korea"

+4213502d0f226b9845b00c2882851ba4c57742ab,Does Rabbit Antithymocyte Globulin (Thymoglobuline®) Have a Role in Avoiding Delayed Graft Function in the Modern Era of Kidney Transplantation?,"Hindawi
+Journal of Transplantation
+Volume 2018, Article ID 4524837, 11 pages
+https://doi.org/10.1155/2018/4524837
+Review Article
+Does Rabbit Antithymocyte Globulin (ThymoglobulineD)
+Have a Role in Avoiding Delayed Graft Function in the Modern
+Era of Kidney Transplantation?
+Lluís Guirado
+Department of Renal Transplantation, Fundaci´o Puigvert, Barcelona, Spain
+Correspondence should be addressed to Llu´ıs Guirado;
+Received 12 April 2018; Accepted 20 June 2018; Published 12 July 2018
+Academic Editor: Andreas Zuckermann
+Copyright © 2018 Llu´ıs Guirado. 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.
+Delayed graft function (DGF) increases the risk of graft loss by up to 40%, and recent developments in kidney donation have
+increased the risk of its occurrence. Lowering the risk of DGF, however, is challenging due to a complicated etiology in which
+ischemia-reperfusion injury (IRI) leads to acute tubular necrosis. Among various strategies explored, the choice of induction
+therapy is one consideration. Rabbit antithymocyte globulin (rATG [Thymoglobuline]) has complex immunomodulatory effects
+that are relevant to DGF. In addition to a rapid and profound T-cell depletion, rATG inhibits leukocyte migration and adhesion."

+4265269bc894caa97efbfcfe5b83da7413f86a30,Asymmetric Tri-training for Unsupervised Domain Adaptation,"Asymmetric Tri-training for Unsupervised Domain Adaptation
+Kuniaki Saito 1 Yoshitaka Ushiku 1 Tatsuya Harada 1"

+42f8ef9d5ebf969a7e2b4d1eef4b332db562e5d4,Which Training Methods for GANs do actually Converge?,"Which Training Methods for GANs do actually Converge?
+Lars Mescheder 1 Andreas Geiger 1 2 Sebastian Nowozin 3"

+42cc8637a5e7b8203722ba0dca995814f6dfd525,PETS 2016: Dataset and Challenge,"PETS 2016: Dataset and Challenge
+Luis Patino*, Tom Cane**, Alain Vallee*** and James Ferryman*
+*University of Reading, Computational Vision Group, Reading RG6 6AY, United Kingdom,
+{j.l.patinovilchis,
+**BMT Group Ltd., Teddington TW11 8LZ. United Kingdom,
+***SAGEM, 92659 Boulogne-Billancourt, France,"

+4212a93f011aa47c6344c0cdc3e991740d8c7c04,Zero-Shot Kernel Learning,"Zero-Shot Kernel Learning
+Hongguang Zhang∗,2,1
+Piotr Koniusz∗,1,2
+Data61/CSIRO, 2Australian National University
+nu.edu.au2}"

+426b47af132293e9ffe6071a3ede59cfdc1aa3fb,Promoting social behavior with oxytocin in high-functioning autism spectrum disorders.,"Promoting social behavior with oxytocin in high-
+functioning autism spectrum disorders
+Elissar Andaria, Jean-René Duhamela, Tiziana Zallab, Evelyn Herbrechtb, Marion Leboyerb, and Angela Sirigua,1
+Centre de Neuroscience Cognitive, Unité Mixte de Recherche 5229, Centre National de la Recherche Scientifique, 69675 Bron, France; and bInstitut National
+de la Santé et de la Recherche Médicale U 841, Department of Psychiatry, Hôpital Chenevier-Mondor, 94000 Créteil, France
+Edited by Leslie G. Ungerleider, National Institute of Mental Health, Bethesda, MD, and approved January 7, 2010 (received for review September 8, 2009)
+Social adaptation requires specific cognitive and emotional compe-
+tences. Individuals with high-functioning autism or with Asperger
+syndrome cannot understand or engage in social situations despite
+preserved intellectual abilities. Recently, it has been suggested that
+oxytocin, a hormone known to promote mother-infant bonds, may
+e implicated in the social deficit of autism. We investigated the
+ehavioral effects of oxytocin in 13 subjects with autism.
+simulated ball game where participants interacted with fictitious
+partners, we found that after oxytocin inhalation, patients
+exhibited stronger interactions with the most socially cooperative
+partner and reported enhanced feelings of trust and preference.
+Also, during free viewing of pictures of faces, oxytocin selectively
+increased patients’ gazing time on the socially informative region of
+the face, namely the eyes. Thus, under oxytocin, patients respond"

+423e8cc1a7501066b7e0e5bb1beb5b9592337023,Accurate eye center localization using Snakuscule,"Accurate Eye Center Localization using Snakuscule
+Abhinav Tripathi
+Microsoft Research India
+Edward Cutrell
+Microsoft Research India
+Sanyam Garg
+Microsoft Research India"

+42cc9ea3da1277b1f19dff3d8007c6cbc0bb9830,Coordinated Local Metric Learning,"Coordinated Local Metric Learning
+Shreyas Saxena
+Jakob Verbeek
+Inria∗"

+42350e28d11e33641775bef4c7b41a2c3437e4fd,Multilinear Discriminant Analysis for Face Recognition,"Multilinear Discriminant Analysis
+for Face Recognition
+Shuicheng Yan, Member, IEEE, Dong Xu, Qiang Yang, Senior Member, IEEE, Lei Zhang, Member, IEEE,
+Xiaoou Tang, Senior Member, IEEE, and Hong-Jiang Zhang, Fellow, IEEE"

+42e793b1dd6669b74ad106071c432aa5015b8631,How do people think about interdependence? A multidimensional model of subjective outcome interdependence.,"tapraid5/z2g-perpsy/z2g-perpsy/z2g99917/z2g4623d17z
+xppws S⫽1
+8/10/17
+:53 Art: 2016-0710
+APA NLM
+017, Vol. 0, No. 999, 000
+0022-3514/17/$12.00
+© 2017 American Psychological Association
+http://dx.doi.org/10.1037/pspp0000166
+How Do People Think About Interdependence? A Multidimensional Model
+of Subjective Outcome Interdependence
+Fabiola H. Gerpott, Daniel Balliet,
+Simon Columbus, and Catherine Molho
+Vrije Universiteit Amsterdam
+Reinout E. de Vries
+Vrije Universiteit Amsterdam and University of Twente
+Interdependence is a fundamental characteristic of social interactions. Interdependence Theory states that
+6 dimensions describe differences between social situations. Here we examine if these 6 dimensions
+describe how people think about their interdependence with others in a situation. We find that people (in
+situ and ex situ) can reliably differentiate situations according to 5, but not 6, dimensions of interde-"

+42e155ea109eae773dadf74d713485be83fca105,Sparse reconstruction of facial expressions with localized gabor moments,

+423aacfe7467961e32f012bc6de10d636ebc0236,Breaking the interactive bottleneck in multi-class classification with active selection and binary feedback,"MITSUBISHI ELECTRIC RESEARCH LABORATORIES
+http://www.merl.com
+Breaking the Interactive Bottleneck in
+Multi-Class Classification with Active
+Selection and Binary Feedback
+Ajay Joshi, Fatih Porikli, Nikolaos Papanikolopoulos
+TR2010-037
+July 2010"

+42b56c77e4b154364763d4024baa8129da75151f,Deep Detection of People and their Mobility Aids for a Hospital Robot,"Deep Detection of People and their Mobility Aids for a Hospital Robot
+Andres Vasquez
+Marina Kollmitz
+Andreas Eitel
+Wolfram Burgard"

+4297deda7ea77fb90de2509c763738584b2353de,Beyond one billion time series: indexing and mining very large time series collections with $$i$$ SAX2+,"Knowl Inf Syst
+DOI 10.1007/s10115-012-0606-6
+REGULAR PAPER
+Beyond one billion time series: indexing and mining very
+large time series collections with iSAX2+
+Alessandro Camerra · Jin Shieh · Themis Palpanas ·
+Thanawin Rakthanmanon · Eamonn Keogh
+Received: 23 March 2012 / Revised: 23 September 2012 / Accepted: 28 December 2012
+© Springer-Verlag London 2013"

+423e0f595365640b653c1195749e01394cbcd937,Web-Scale Responsive Visual Search at Bing,"Web-Scale Responsive Visual Search at Bing
+Houdong Hu, Yan Wang, Linjun Yang, Pavel Komlev, Li Huang,
+Xi (Stephen) Chen, Jiapei Huang, Ye Wu, Meenaz Merchant, Arun Sacheti
+Microsoft
+Redmond, Washington"

+424e918134ed7c70fa73450bd6af1bd982071a27,Final Report : Localized object detection with Convolutional Neural Networks,"Final Report: Localized object detection with Convolutional
+Computer Vision
+Neural Networks
+Bardia Doosti
+Vijay Hareesh Avula
+May 5, 2016"

+428e42f8d5cbffc068e2e5fe8f697c9c9ee113a9,Deep Multimodal Subspace Clustering Networks,"IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, VOL. X, NO. X, SEPTEMBER 21, 2018
+Deep Multimodal Subspace Clustering Networks
+Mahdi Abavisani, Student Member, IEEE and Vishal M. Patel, Senior Member, IEEE"

+42d8a6b1ef5acaaf4640a8974c6f99d60b56090c,Markerless Motion Capture of Multiple Characters Using Multiview Image Segmentation,"SUBMIT TO IEEE TRANS. PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. XX, NO. XX, AUGUST 2012
+Markerless Motion Capture of Multiple Characters
+Using Multi-view Image Segmentation
+Yebin Liu, Juergen Gall Member, IEEE, Carsten Stoll, Qionghai Dai Senior Member, IEEE,
+Hans-Peter Seidel, and Christian Theobalt"

+4270460b8bc5299bd6eaf821d5685c6442ea179a,"Partial Similarity of Objects, or How to Compare a Centaur to a Horse","Int J Comput Vis (2009) 84: 163–183
+DOI 10.1007/s11263-008-0147-3
+Partial Similarity of Objects, or How to Compare a Centaur
+to a Horse
+Alexander M. Bronstein · Michael M. Bronstein · Alfred
+M. Bruckstein · Ron Kimmel
+Received: 30 September 2007 / Accepted: 3 June 2008 / Published online: 26 July 2008
+© Springer Science+Business Media, LLC 2008"

+426840ccf74bbd8b087cf357efdb80ecc85ea2ab,Reduced Analytic Dependency Modeling: Robust Fusion for Visual Recognition,"Noname manuscript No.
+(will be inserted by the editor)
+Reduced Analytic Dependency Modeling: Robust Fusion for Visual
+Recognition
+Andy J Ma · Pong C Yuen
+Received: date / Accepted: date"

+422d352a7d26fef692a3cd24466bfb5b4526efea,Pedestrian interaction in tracking: the social force model and global optimization methods,"Pedestrian interaction in tracking: the social
+force model and global optimization methods
+Laura Leal-Taix´e and Bodo Rosenhahn"

+429d4848d03d2243cc6a1b03695406a6de1a7abd,"Face Recognition based on Logarithmic Fusion of SVD and KT Ramachandra A C , Raja K B , Venugopal K R , L M Patnaik","Face Recognition based on Logarithmic Fusion
+International Journal of Soft Computing and Engineering (IJSCE)
+ISSN: 2231-2307, Volume-2, Issue-3, July 2012
+of SVD and KT
+Ramachandra A C, Raja K B, Venugopal K R, L M Patnaik"

+42ab6c438bf5a6e0e74cc2dd9192a12f2406ca33,Nonlinear Dimensionality Reduction by Manifold Unfolding,"Nonlinear Dimensionality Reduction
+y Manifold Unfolding
+Pooyan Khajehpour Tadavani
+A thesis
+presented to the University of Waterloo
+in fulfillment of the
+thesis requirement for the degree of
+Doctor of Philosophy
+Computer Science
+Waterloo, Ontario, Canada, 2013
+(cid:13) Pooyan Khajehpour Tadavani 2013"

+4273a9d1605a69ac66440352b92ebeb230fd34f6,Simple Test Procedure for Image-Based Biometric Veri cation Systems,"SimpleTestProcedureforImage-BasedBiometric
+Veri(cid:12)cationSystems
+C.L.Wilson,R.M.McCabe
+InformationTechnologyLaboratory
+NationalInstituteofStandardsandTechnology
+Gaithersburg,MD
+42dc36550912bc40f7faa195c60ff6ffc04e7cd6,Visible and Infrared Face Identification via Sparse Representation,"Hindawi Publishing Corporation
+ISRN Machine Vision
+Volume 2013, Article ID 579126, 10 pages
+http://dx.doi.org/10.1155/2013/579126
+Research Article
+Visible and Infrared Face Identification via
+Sparse Representation
+Pierre Buyssens1 and Marinette Revenu2
+LITIS EA 4108-QuantIF Team, University of Rouen, 22 Boulevard Gambetta, 76183 Rouen Cedex, France
+GREYC UMR CNRS 6072 ENSICAEN-Image Team, University of Caen Basse-Normandie, 6 Boulevard Mar´echal Juin,
+4050 Caen, France
+Correspondence should be addressed to Pierre Buyssens;
+Received 4 April 2013; Accepted 27 April 2013
+Academic Editors: O. Ghita, D. Hernandez, Z. Hou, M. La Cascia, and J. M. Tavares
+Copyright © 2013 P. Buyssens and M. Revenu. This is an open access article distributed under the Creative Commons Attribution
+License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly
+ited.
+We present a facial recognition technique based on facial sparse representation. A dictionary is learned from data, and patches
+extracted from a face are decomposed in a sparse manner onto this dictionary. We particularly focus on the design of dictionaries
+that play a crucial role in the final identification rates. Applied to various databases and modalities, we show that this approach"

+42e0d7fe2039b075ac2372d883fa994eb0a68b48,Learning human actions in video,"Learning human actions in video
+Alexander Klaser
+To cite this version:
+Alexander Klaser. Learning human actions in video. Modeling and Simulation. Institut Na-
+tional Polytechnique de Grenoble - INPG, 2010. English. <tel-00514814>
+HAL Id: tel-00514814
+https://tel.archives-ouvertes.fr/tel-00514814
+Submitted on 3 Sep 2010
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destin´ee au d´epˆot et `a la diffusion de documents
+scientifiques de niveau recherche, publi´es ou non,
+´emanant des ´etablissements d’enseignement et de
+recherche fran¸cais ou ´etrangers, des laboratoires
+publics ou priv´es."

+424e52158b43e40f356af7eafb35c91a9e13db30,"Impact Factor : 3 . 449 ( ISRA ) , Impact Factor : 2 .","[Randive, 4(1): January, 2015]
+ISSN: 2277-9655
+Scientific Journal Impact Factor: 3.449
+(ISRA), Impact Factor: 2.114
+IJESRT
+INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH
+TECHNOLOGY
+AN INNOVATIVE APPROACH FOR PLASTIC SURGERY FACE RECOGNITION-A
+Mahendra P. Randive *, Prof. Umesh W. Hore
+REVIEW
+*Student of M.E. Department of Electronics & Telecommunication Engineering, P. R. Patil College of
+Engineering, Amravati Maharashtra – India."

+42ecfc3221c2e1377e6ff849afb705ecd056b6ff,Pose Invariant Face Recognition Under Arbitrary Unknown Lighting Using Spherical Harmonics,"Pose Invariant Face Recognition under Arbitrary
+Unknown Lighting using Spherical Harmonics
+Lei Zhang and Dimitris Samaras
+Department of Computer Science,
+SUNY at Stony Brook, NY, 11790
+{lzhang,"

+421955c6d2f7a5ffafaf154a329a525e21bbd6d3,Evolutionary Pursuit and Its Application to Face Recognition,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 22, NO. 6,
+JUNE 2000
+Evolutionary Pursuit and Its
+Application to Face Recognition
+Chengjun Liu, Member, IEEE, and Harry Wechsler, Fellow, IEEE"

+42832bcb36ee3f69327c38d0d17e6e2a73aaa2a6,SUN Database: Exploring a Large Collection of Scene Categories,"Int J Comput Vis
+DOI 10.1007/s11263-014-0748-y
+SUN Database: Exploring a Large Collection of Scene Categories
+Jianxiong Xiao · Krista A. Ehinger · James Hays ·
+Antonio Torralba · Aude Oliva
+Received: 9 June 2013 / Accepted: 2 July 2014
+© Springer Science+Business Media New York 2014"

+423cfa55a14cd92ada32245b416b587ef9c29308,Visually-Grounded Bayesian Word Learning,"Visually-Grounded Bayesian Word Learning
+Yangqing Jia
+Joshua Abbott
+Joseph Austerweil
+Thomas Griffiths
+Trevor Darrell
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2012-202
+http://www.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-202.html
+October 17, 2012"

+4263630a35c5ee34ccf9dbd81c0541d92d0c7d5b,Shape Variation-Based Frieze Pattern for Robust Gait Recognition,"Shape Variation-Based Frieze Pattern for Robust Gait Recognition
+Seungkyu Lee*                    Yanxi Liu*                     Robert Collins
+Dept. of Computer Science and Eng. *Dept. of Electrical Eng.
+The Penn State University"

+42df75080e14d32332b39ee5d91e83da8a914e34,Illumination Compensation Using Oriented Local Histogram Equalization and its Application to Face Recognition,"Illumination Compensation Using Oriented
+Local Histogram Equalization and
+Its Application to Face Recognition
+Ping-Han Lee, Szu-Wei Wu, and Yi-Ping Hung"

+421b3a33ec70af2d733310f6c83ad713a314951d,Using nasal curves matching for expression robust 3D nose recognition,"Emambakhsh, M., Evans, A. and Smith, M. (2013) Using nasal curves
+matching for expression robust 3D nose recognition. In: IEEE Con-
+ference on Biometrics: Theory, Applications and Systems (BTAS2013),
+Washington DC, USA, September 29th - October 2, 2013. Available
+from: http://eprints.uwe.ac.uk/20812
+We recommend you cite the published version.
+The publisher’s URL is:
+http://eprints.uwe.ac.uk/20812/
+Refereed: Yes
+(no note)
+Disclaimer
+UWE has obtained warranties from all depositors as to their title in the material
+deposited and as to their right to deposit such material.
+UWE makes no representation or warranties of commercial utility, title, or fit-
+ness for a particular purpose or any other warranty, express or implied in respect
+of any material deposited.
+UWE makes no representation that the use of the materials will not infringe
+ny patent, copyright, trademark or other property or proprietary rights.
+UWE accepts no liability for any infringement of intellectual property rights
+in any material deposited but will remove such material from public view pend-"

+896e2776174dcb86d311789ab83a266151d0595b,A Novel Performance Evaluation Methodology for Single-Target Trackers,"A Novel Performance Evaluation Methodology
+for Single-Target Trackers
+Matej Kristan, Member, IEEE, Jiri Matas, Aleˇs Leonardis, Member, IEEE, Tom´aˇs Voj´ıˇr,
+Roman Pflugfelder, Gustavo Fern´andez, Georg Nebehay, Fatih Porikli and
+Luka ˇCehovin Member, IEEE,"

+89945b7cd614310ebae05b8deed0533a9998d212,Divide-and-Conquer Method for L1 Norm Matrix Factorization in the Presence of Outliers and Missing Data,"Divide-and-Conquer Method for L1 Norm Matrix
+Factorization in the Presence of Outliers and
+Missing Data
+Deyu Meng and Zongben Xu"

+89c84628b6f63554eec13830851a5d03d740261a,Image Enhancement and Automated Target Recognition Techniques for Underwater Electro-Optic Imagery,"Image Enhancement and Automated Target Recognition
+Techniques for Underwater Electro-Optic Imagery
+Thomas Giddings (PI), Cetin Savkli and Joseph Shirron
+Metron, Inc.
+1911 Freedom Dr., Suite 800
+Reston, VA 20190
+phone: (703) 437-2428   fax: (703) 787-3518    email:
+Contract Number N00014-07-C-0351
+http:www.metsci.com
+LONG TERM GOALS
+The long-term goal of this project is to provide a flexible, accurate and extensible automated target
+recognition (ATR) system for use with a variety of imaging and non-imaging sensors.  Such an ATR
+system, once it achieves a high level of performance, can relieve human operators from the tedious
+usiness of pouring over vast quantities of mostly mundane data, calling the operator in only when the
+omputer assessment involves an unacceptable level of  ambiguity. The ATR system will provide most
+leading edge algorithms for detection, segmentation, and classification while incorporating many novel
+lgorithms that we are developing at Metron.  To address one of the most critical challenges in ATR
+technology, the system will also provide powerful feature extraction routines designed for specific
+pplications of current interest.
+OBJECTIVES"

+89c51f73ec5ebd1c2a9000123deaf628acf3cdd8,Face Recognition Based on Nonlinear Feature Approach Eimad,"American Journal of Applied Sciences 5 (5): 574-580, 2008
+ISSN 1546-9239
+© 2008 Science Publications
+Face Recognition Based on Nonlinear Feature Approach
+Eimad E.A. Abusham, 1Andrew T.B. Jin, 1Wong E. Kiong and 2G. Debashis
+Faculty of Information Science and Technology,
+Faculty of Engineering and Technology, Multimedia University (Melaka Campus),
+Jalan Ayer Keroh Lama, 75450 Bukit Beruang, Melaka, Malaysia"

+89c73b1e7c9b5e126a26ed5b7caccd7cd30ab199,Application of an Improved Mean Shift Algorithm in Real-time Facial Expression Recognition,"Application of an Improved Mean Shift Algorithm
+in Real-time Facial Expression Recognition
+School of Computer and Communication, Hunan University of Technology, Hunan, Zhuzhou, 412008，china
+School of Electrical and Information Engineering, Hunan University of Technology, Hunan, Zhuzhou, 412008，china
+School of Computer and Communication, Hunan University of Technology, Hunan, Zhuzhou, 412008，china
+Zhao-yi PENG
+Yu ZHOU
+Yan-hui  ZHU
+Email:
+Zhi-qiang WEN
+Email:
+School of Computer and Communication, Hunan University of Technology, Hunan, Zhuzhou, 412008，china
+facial
+real-time
+expression"

+893239f17dc2d17183410d8a98b0440d98fa2679,UvA-DARE ( Digital Academic Repository ) Expression-Invariant Age Estimation,"UvA-DARE (Digital Academic Repository)
+Expression-Invariant Age Estimation
+Alnajar, F.; Lou, Z.; Alvarez Lopez, J.M.; Gevers, T.
+Published in:
+Proceedings of the British Machine Vision Conference 2014
+0.5244/C.28.14
+Link to publication
+Citation for published version (APA):
+Alnajar, F., Lou, Z., Alvarez, J., & Gevers, T. (2014). Expression-Invariant Age Estimation. In M. Valstar, A.
+French, & T. Pridmore (Eds.), Proceedings of the British Machine Vision Conference 2014 (pp. 14.1-14.11).
+BMVA Press. DOI: 10.5244/C.28.14
+General rights
+It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s),
+other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons).
+Disclaimer/Complaints regulations
+If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating
+your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask
+the Library: http://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam,
+The Netherlands. You will be contacted as soon as possible.
+Download date: 04 Aug 2017"

+89f9225a7223133fa687e1c44bb758c3567f4f26,F3-F: A System Theoretic Approach to Robust Detection Of Potential Threats from Video,"F3-F: A System Theoretic Approach to Robust
+Detection Of Potential Threats from Video"

+8966af6a8049192556e9c9356886a135595c19b8,Temporally Coherent CRP: A Bayesian Non-Parametric Approach for Clustering Tracklets with applications to Person Discovery in Videos,"Temporally Coherent CRP: A Bayesian Non-Parametric Approach for
+Clustering Tracklets with applications to Person Discovery in Videos
+Adway Mitra∗
+Soma Biswas†
+Chiranjib Bhattacharyya‡"

+8949563597276246f9f480d4b38b3b7851fd5495,Toward Efficient and Robust Large-scale Structure-from-motion Systems,"TOWARD EFFICIENT AND ROBUST LARGE-SCALE
+STRUCTURE-FROM-MOTION SYSTEMS
+Jared S. Heinly
+A dissertation submitted to the faculty of the University of North Carolina at Chapel Hill in partial
+fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of
+Computer Science.
+Chapel Hill
+Approved by:
+Jan-Michael Frahm
+Enrique Dunn
+Alexander C. Berg
+Marc Niethammer
+Sameer Agarwal"

+8913a5b7ed91c5f6dec95349fbc6919deee4fc75,BigBIRD: A large-scale 3D database of object instances,"BigBIRD: A Large-Scale 3D Database of Object Instances
+Arjun Singh, James Sha, Karthik S. Narayan, Tudor Achim, Pieter Abbeel"

+89d3a57f663976a9ac5e9cdad01267c1fc1a7e06,Neural Class-Specific Regression for face verification,"Neural Class-Specific Regression for face
+verification
+Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj"

+89a245eae1e7eda7aa8e360c0cdb4bf6a72da225,A Survey of Pedestrian Detection in Video,"(IJACSA) International Journal of Advanced Computer Science and Applications,
+Vol. 5, No. 10, 2014
+A Survey of Pedestrian Detection in Video
+Achmad Solichin
+Department of Informatics
+Budi Luhur University
+Jakarta, Indonesia
+Agus Harjoko
+Agfianto Eko Putra
+Dept. of Computer Science and
+Dept. of Computer Science and
+Electronics Gadjah Mada University
+Electronics Gadjah Mada University
+Yogyakarta, Indonesia
+Yogyakarta, Indonesia"

+8948e9dce2dfaeb1d93ce146fab5364b6cd342c9,Dual Attention Network for Scene Segmentation,"Dual Attention Network for Scene Segmentation
+Jun Fu, Jing Liu, Haijie Tian, Zhiwei Fang, Hanqing Lu
+{jun.fu, jliu, zhiwei.fang,
+CASIA IVA"

+89bc311df99ad0127383a9149d1684dfd8a5aa34,Towards ontology driven learning of visual concept detectors,"Towards ontology driven learning of
+visual concept detectors
+Sanchit ARORA, Chuck CHO, Paul FITZPATRICK, Franc¸ois SCHARFFE 1
+Dextro Robotics, Inc. 101 Avenue of the Americas, New York, USA"

+8935ffe454758e2e5def0b5190de6e28c350b3b8,Learning to Reconstruct Face Geometries Research,"Learning to Reconstruct Face
+Geometries
+Elad Richardson
+Technion - Computer Science Department - M.Sc. Thesis  MSC-2017-11 - 2017"

+8961677300a9ee30ca51e1a3cf9815b4a162265b,Deep Representation Learning with Part Loss for Person Re-Identification,"Deep Representation Learning with Part Loss for Person Re-Identification
+Hantao Yao, Shiliang Zhang, Yongdong Zhang, Jintao Li, Qi Tian"

+89f44f756c230e104cdf2ec0152d5f015586399c,Wide-area Based Traffic Situation Detection at an Ungated Level Crossing,"M. Junghans, et al., Int. J. of Safety and Security Eng., Vol. 6, No. 2 (2016) 383–393
+WIDE-AREA BASED TRAFFIC SITUATION DETECTION
+AT AN UNGATED LEVEL CROSSING
+M. JUNGHANS, A. LEICH, K. KOZEMPEL, H. SAUL & S. KNAKE-LANGHORST
+Institute of Transportation Systems, German Aerospace Center (DLR), Berlin, Germany."

+89e324b9c64a800e57ad82eddecc03f2cc0b7cc5,Long-Term Identity-Aware Multi-Person Tracking for Surveillance Video Summarization,"Long-Term Identity-Aware Multi-Person Tracking
+for Surveillance Video Summarization
+Shoou-I Yu, Yi Yang, Xuanchong Li, and Alexander G. Hauptmann"

+89174737423d87258d3b9d5a660236a0bb66a470,On the usage of Sensor Pattern Noise for Picture-to-Identity linking through social network accounts,"On the usage of Sensor Pattern Noise for Picture-to-Identity linking
+through social network accounts
+Riccardo Satta1 and Pasquale Stirparo1,2
+Institute for the Protection and Security of the Citizen
+Joint Research Centre (JRC), European Commission, Ispra (VA), Italy
+Royal Institute of Technology (KTH), Stockholm, Sweden
+{riccardo.satta,
+Keywords:
+social network, account, Sensor Pattern Noise, identity, linking, digital image forensics, multimedia forensics"

+8929e704b6af7f09ad027714b75972cb9df57483,Image Inpainting for Irregular Holes Using Partial Convolutions,

+894f1e924dfb8dfb843c42835fa79e386ac07383,Dimensional emotion recognition using visual and textual cues,"Dimensional emotion recognition using visual and textual cues
+Pedro M. Ferreira1, Diogo Pernes2, Kelwin Fernandes1, Ana Rebelo3 and Jaime S. Cardoso1"

+898a66979c7e8b53a10fd58ac51fbfdb6e6e6e7c,Dynamic vs. Static Recognition of Facial Expressions,"Dynamic vs. Static Recognition of Facial
+Expressions
+No Author Given
+No Institute Given"

+89d590d7013433304aae1c97debd257b8dd801fa,Outdoor Human Motion Capture by Simultaneous Optimization of Pose and Camera Parameters,"Volume xx (200y), Number z, pp. 1–13
+Outdoor Human Motion Capture by Simultaneous
+Optimization of Pose and Camera Parameters
+A. Elhayek C. Stoll K. I. Kim and C. Theobalt
+Max-Planck-Institute for Informatics, Saarbrücken, Germany
+Figure 1: Examples of multi-person tracking with moving cameras. (Left two images) two actors, and two moving and 3 static
+ameras (Soccer1). (Right two images) One actor, and three moving and two static cameras (Walk2)."

+89d7cc9bbcd2fdc4f4434d153ecb83764242227b,Face-Name Graph Matching For The Personalities In Movie Screen,"Einstein.J, DivyaBaskaran / International Journal of Engineering Research and Applications
+(IJERA)             ISSN: 2248-9622           www.ijera.com
+Vol. 3, Issue 2, March -April 2013, pp.351-355
+Face-Name Graph Matching For The Personalities In Movie
+Screen
+*(Asst. Professor, Dept. of IT, VelTech HighTech Dr. Rangarajan Dr.Sakunthala Engineering College,
+Einstein.J*, DivyaBaskaran**
+** (Final Year Student, M.Tech IT, Vel Tech Dr. RR &Dr. SR Technical University, Chennai.)
+Chennai.)"

+890103cb8d3d869298421da817d0a181487ec79a,Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization,"Learning the Hierarchical Parts of Objects by Deep
+Non-Smooth Nonnegative Matrix Factorization
+Jinshi Yu, Guoxu Zhou, Andrzej Cichocki
+IEEE Fellow, and Shengli Xie IEEE Senior Member"

+89358e65aec4d6665098c7dbbe3975296cc7a2fc,Discriminative Feature Based Algorithm for Detecting And Classifying Frames In Image Sequences,"M. A. A Victoria et al. Int. Journal of Engineering Research and Applications               www.ijera.com
+Vol. 3, Issue 5, Sep-Oct 2013, pp.446-450
+RESEARCH ARTICLE                                                                               OPEN ACCESS
+Discriminative Feature Based Algorithm for Detecting And
+Classifying Frames In Image Sequences
+M. Antony Arockia Victoria, R. Sahaya Jeya Sutha
+B.E,M.E. Assistant Professor, Department of MCA, Dr.Sivanthi Aditanar College of Engineering,
+MCA,M.Phil. Assistant Professor, Department of MCA, Dr. Sivanthi Aditanar College of Engineering"

+8954d46e1d7a11b20b2c688e5fb8bce4901650d6,Looking at movies and cartoons: eye-tracking evidence from Williams syndrome and autism.,"Looking at Movies and Cartoons: Eye-tracking evidence from Williams syndrome
+nd Autism
+Deborah M Riby and Peter J B Hancock
+Journal of Intellectual Disability Research
+http://dx.doi.org/10.1111/j.1365-2788.2008.01142.x"

+89d02ceae9e972eca633ae6ff9da9ee8a85fb171,Using Explanations to Improve Ensembling of Visual Question Answering Systems,"In Proceedings of the IJCAI 2017 Workshop on Explainable Artificial
+Intelligence (XAI), pp. 43-47, Melbourne, Australia, August 2017."

+89742f28108330f97df94df98f73b459b02ca33d,Query Specific Semantic Signature for Improved Web Image Re - Ranking,"International Journal of Engineering and Technical Research (IJETR)
+ISSN: 2321-0869, Volume-3, Issue-3, March 2015
+Query Specific Semantic Signature for Improved
+Web Image Re-Ranking
+Joshith.K, S.Krishnamoorthi"

+89475b4d09e541e09becb9aa134c8de117725205,Automatic Analysis of Facial Expressions Based on Deep Covariance Trajectories,"Automatic Analysis of Facial Expressions Based on
+Deep Covariance Trajectories
+Naima Otberdout, Member, IEEE, Anis Kacem, Member, IEEE, Mohamed Daoudi, Senior, IEEE,
+Lahoucine Ballihi, Member, IEEE, and Stefano Berretti, Senior, IEEE"

+891b10c4b3b92ca30c9b93170ec9abd71f6099c4,2 New Statement for Structured Output Regression Problems,"Facial landmark detection using structured output deep
+neural networks
+Soufiane Belharbi ∗1, Cl´ement Chatelain∗1, Romain H´erault∗1, and S´ebastien
+Adam∗2
+LITIS EA 4108, INSA de Rouen, Saint ´Etienne du Rouvray 76800, France
+LITIS EA 4108, UFR des Sciences, Universit´e de Rouen, France.
+September 24, 2015"

+455943924a98593655ae7197ee3835b9f6a3b778,Visual SLAM for Automated Driving: Exploring the Applications of Deep Learning,"Visual SLAM for Automated Driving:
+Exploring the Applications of Deep Learning
+Stefan Milz, Georg Arbeiter, Christian Witt
+Valeo Schalter und Sensoren GmbH
+Bassam Abdallah
+Valeo Vision, Bobigny
+stefan.milz, georg.arbeiter,
+Senthil Yogamani
+Valeo Vision Systems, Ireland"

+45379046c6c1311dfa6d8e1941b3e2c7971ca2bc,An alternating direction and projection algorithm for structure-enforced matrix factorization,"Noname manuscript No.
+(will be inserted by the editor)
+An Alternating Direction and Projection Algorithm
+for Structure-enforced Matrix Factorization
+Lijun Xu · Bo Yu · Yin Zhang
+Received: date / Accepted: date"

+4572725e98f3e1b6f258c03643d74b69982aa39a,Semantic Cluster Unary Loss for Efficient Deep Hashing,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Semantic Cluster Unary Loss for Efficient Deep
+Hashing
+Shifeng Zhang, Jianmin Li, and Bo Zhang
+hashing [15], [22], [27], [32], [38], [54] and semi-supervised
+hashing [43]. Experiments convey that hashcodes learned by
+(semi-)supervised hashing methods contain more semantic
+information than those learned by the unsupervised ones."

+45ede580b1e402aae6832256586211a47c53afe3,Biometric Application: Texture and Shape Based 3d Face Recognition,"BIOMETRIC APPLICATION: TEXTURE AND SHAPE BASED 3D FACE
+RECOGNITION
+P.Manju Bala1
+Senior Assistant professor,
+A.Kalaiselvi2
+Assistant Professor,
+Department of Computer Science and Engineering,
+Department of Computer Science and Engineering,
+IFET College of Engineering,
+Villupuram."

+451bf4124ec8a55b9112cf9cc167d304fa004924,Modelling State of Interaction from Head Poses for Social Human-Robot Interaction,"Modelling State of Interaction from Head Poses
+for Social Human-Robot Interaction
+Andre Gaschler
+fortiss GmbH
+Guerickstr. 25
+80805 München, Germany
+Ingmar Kessler
+fortiss GmbH
+Guerickstr. 25
+80805 München, Germany
+Kerstin Huth
+Universität Bielefeld
+Universitätsstr. 25
+3615 Bielefeld, Germany
+Jan de Ruiter
+Universität Bielefeld
+Universitätsstr. 25
+3615 Bielefeld, Germany
+ielefeld.de
+Manuel Giuliani"

+45aefa11101129862e323958b62505700bc281ae,Unsupervised learning in generative models of occlusion,"Unsupervised Learning in Generative
+Models of Occlusion
+Dissertation
+zur Erlangung des Doktorgrades
+der Naturwissenschaften
+vorgelegt beim Fachbereich Physik
+der Johann Wolfgang Goethe-Universität
+in Frankfurt am Main
+Marc Henniges
+us Frankfurt am Main
+Frankfurt (2012)
+(D 30)"

+45c340c8e79077a5340387cfff8ed7615efa20fd,Assessment of the Emotional States of Students during e-Learning,

+457abee61182a320b301d73ecceff00d055f596e,Face Recognition Using Line Edge Map,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 24, NO. 6,
+JUNE 2002
+Face Recognition Using Line Edge Map
+Yongsheng Gao, Member, IEEE, and Maylor K.H. Leung, Member, IEEE"

+450e9f80a273df2cdaafd9ae3a9ff149950cc834,Human Pose Estimation using Histograms of Edge Directions,"Human Pose Estimation
+using Histograms of Edge Directions
+Andrès Koetsier
+University of Twente HMI Department"

+45e7ddd5248977ba8ec61be111db912a4387d62f,Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization,"CHEN ET AL.: ADVERSARIAL POSENET
+Adversarial Learning of Structure-Aware Fully
+Convolutional Networks for Landmark
+Localization
+Yu Chen1, Chunhua Shen2, Hao Chen2, Xiu-Shen Wei3, Lingqiao Liu2 and Jian Yang1"

+45f884c4c3bcdabdca46ee0e3794ce1631b9c558,Vision-based assessment of parkinsonism and levodopa-induced dyskinesia with pose estimation,"Vision-Based Assessment of Parkinsonism and
+Levodopa-Induced Dyskinesia with Deep
+Learning Pose Estimation
+Michael H. Li, Tiago A. Mestre, Susan H. Fox, Babak Taati*"

+4526992d4de4da2c5fae7a5ceaad6b65441adf9d,System for Medical Mask Detection in the Operating Room Through Facial Attributes,"System for Medical Mask Detection
+in the Operating Room Through
+Facial Attributes
+A. Nieto-Rodr´ıguez, M. Mucientes(B), and V.M. Brea
+Center for Research in Information Technologies (CiTIUS),
+University of Santiago de Compostela, Santiago de Compostela, Spain"

+45efd6c2dd4ca19eed38ceeb7c2c5568231451e1,Comparative Analysis of Statistical Approach for Face Recognition,"Comparative Analysis of Statistical Approach
+for Face Recognition
+S.Pradnya1, M.Riyajoddin2, M.Janga Reddy3
+CMR Institute of Technology, Hyderabad, (India)"

+4560491820e0ee49736aea9b81d57c3939a69e12,Investigating the Impact of Data Volume and Domain Similarity on Transfer Learning Applications,"Investigating the Impact of Data Volume and
+Domain Similarity on Transfer Learning
+Applications
+Michael Bernico, Yuntao Li, and Dingchao Zhang
+State Farm Insurance, Bloomington IL 61710, USA,"

+4571626d4d71c0d11928eb99a3c8b10955a74afe,Geometry Guided Adversarial Facial Expression Synthesis,"Geometry Guided Adversarial Facial Expression Synthesis
+Lingxiao Song1,2
+Zhihe Lu1,3 Ran He1,2,3
+Zhenan Sun1,2
+Tieniu Tan1,2,3
+National Laboratory of Pattern Recognition, CASIA
+Center for Research on Intelligent Perception and Computing, CASIA
+Center for Excellence in Brain Science and Intelligence Technology, CAS"

+451d777ee33833a3b5eb6ba5292fae162c6d265f,Exploiting Feature Correlations by Brownian Statistics for People Detection and Recognition,"TRANSACTIONS ON CYBERNETICS
+Exploiting Feature Correlations by Brownian
+Statistics for People Detection and Recognition
+Sławomir B ˛ak1, Marco San Biagio2, Ratnesh Kumar1, Vittorio Murino2 and François Brémond1
+STARS Lab, INRIA Sophia Antipolis Méditerranée, Sophia Antipolis, 06902 Valbonne, France
+Pattern Analysis and Computer Vision (PAVIS), IIT IStituto Italiano di Tecnologia, 16163 Genova, Italy
+Characterizing an image region by its feature inter-correlations is a modern trend in computer vision. In this paper, we introduce
+new image descriptor that can be seen as a natural extension of a covariance descriptor with the advantage of capturing nonlinear
+nd non-monotone dependencies. Inspired from the recent advances in mathematical statistics of Brownian motion, we can express
+highly complex structural information in a compact and computationally efficient manner. We show that our Brownian covariance
+descriptor can capture richer image characteristics than the covariance descriptor. Additionally, a detailed analysis of the Brownian
+manifold reveals that in opposite to the classical covariance descriptor, the proposed descriptor lies in a relatively flat manifold,
+which can be treated as a Euclidean. This brings significant boost in the efficiency of the descriptor. The effectiveness and the
+generality of our approach is validated on two challenging vision tasks, pedestrian classification and person re-identification. The
+experiments are carried out on multiple datasets achieving promising results.
+Index Terms—brownian descriptor, covariance descriptor, pedestrian detection, re-identification.
+I. INTRODUCTION
+D ESIGNING proper image descriptors is a crucial step
+in computer vision applications, including scene detec-
+tion, target tracking and object recognition. A good descrip-"

+45e81d04d01ef1db78a04ef7a9472fd4cd6de84c,Variational learning of finite Beta-Liouville mixture models using component splitting,"Variational Learning of Finite Beta-Liouville Mixture Models Using
+Component Splitting
+Wentao Fan and Nizar Bouguila"

+4583d7d1d76dfe18e86e91f7438ce1a03cdcf68f,"""3D Face"": Biometric Template Protection for 3D Face Recognition","\3D Face"": Biometric Template Protection for
+D Face Recognition
+E.J.C. Kelkboom, B. G(cid:127)okberk, T.A.M. Kevenaar, A.H.M. Akkermans, and M.
+van der Veen
+Philips Research, High-Tech Campus 34, 5656AE, Eindhoven
+femile.kelkboom, berk.gokberk, tom.kevenaar, ton.h.akkermans,"

+454ec30d0a491800458a52a5aa655eb76a28f4f5,3-D Object Recognition Using 2-D Views,"-D Object Recognition Using 2-D Views
+Wenjing Li, Member, IEEE, George Bebis, Member, IEEE, and Nikolaos G. Bourbakis, Fellow, IEEE"

+45bedfcb562e48a64436ea3131bc91098eb93dab,Incremental update of biometric models in face-based video surveillance,"Incremental Update of Biometric Models in
+Face-Based Video Surveillance
+Miguel De-la-Torre∗†, Eric Granger∗, Paulo V. W. Radtke∗, Robert Sabourin∗, Dmitry O. Gorodnichy‡
+´Ecole de technologie sup´erieure, Montr´eal, Canada
+Centro Universitario de Los Valles, Universidad de Guadalajara, Ameca, M´exico
+Science and Engineering Directorate, Canada Border Services Agency, Ottawa, Canada"

+4534d78f8beb8aad409f7bfcd857ec7f19247715,Transformation-Based Models of Video Sequences,"Under review as a conference paper at ICLR 2017
+TRANSFORMATION-BASED MODELS OF VIDEO
+SEQUENCES
+Joost van Amersfoort ∗, Anitha Kannan, Marc’Aurelio Ranzato,
+Arthur Szlam, Du Tran & Soumith Chintala
+Facebook AI Research
+{akannan, ranzato, aszlam, trandu,"

+453e311c6de1285cd5ea6d93fd78a636eac0ba82,Multi patches 3D facial representation for person authentication using AdaBoost,"Multi patches 3D facial representation for Person
+Authentication using AdaBoost
+Lahoucine Ballihi, Boulbaba Ben Amor, Mohamed Daoudi, Anuj Srivastava
+To cite this version:
+Lahoucine Ballihi, Boulbaba Ben Amor, Mohamed Daoudi, Anuj Srivastava. Multi patches 3D facial
+representation for Person Authentication using AdaBoost. I/V Communications and Mobile Network
+(ISVC), 2010 5th International Symposium on, Sep 2010, Rabat, Morocco. pp.1-4, 2010. <hal-
+00665904>
+HAL Id: hal-00665904
+https://hal.archives-ouvertes.fr/hal-00665904
+Submitted on 3 Feb 2012
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,"

+459e840ec58ef5ffcee60f49a94424eb503e8982,One-shot Face Recognition by Promoting Underrepresented Classes,"One-shot Face Recognition by Promoting Underrepresented Classes
+Yandong Guo, Lei Zhang
+Microsoft
+One Microsoft Way, Redmond, Washington, United States
+{yandong.guo,"

+45954ed44b99edc5f0d1100a1ea33d856602d78a,Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach,"Retinal Vessel Segmentation under Extreme Low
+Annotation: A Generative Adversarial Network
+Approach
+Avisek Lahiri*, Vineet Jain*, Arnab Mondal*, and Prabir Kumar Biswas, Senior Member, IEEE"

+451c42da244edcb1088e3c09d0f14c064ed9077e,Using subclasses in discriminant non-negative subspace learning for facial expression recognition,"© EURASIP, 2011  -  ISSN 2076-1465
+9th European Signal Processing Conference (EUSIPCO 2011)
+INTRODUCTION"

+456ccc8bbb538037ff00fabf25afb2aceb39149e,Computational Aspects of the Hausdorff Distance in Unbounded Dimension,"Journal of Computational Geometry
+COMPUTATIONAL ASPECTS OF THE HAUSDORFF DISTANCE
+IN UNBOUNDED DIMENSION
+Stefan K¨onig∗"

+4568063b7efb66801e67856b3f572069e774ad33,Correspondence driven adaptation for human profile recognition,"Correspondence Driven Adaptation for Human Profile Recognition
+Ming Yang1, Shenghuo Zhu1, Fengjun Lv2, Kai Yu1
+NEC Laboratories America, Inc.
+Huawei Technologies (USA)
+Cupertino, CA 95014
+Santa Clara, CA 95050"

+45c4514ca2b7903b4c8f43e396bce73f014b72be,Parallel Feature Extraction through Preserving Global and Discriminative Property for Kernel-Based Image Classification,"Journal of Information Hiding and Multimedia Signal Processing
+Ubiquitous International
+(cid:13)2015 ISSN 2073-4212
+Volume 6, Number 5, September 2015
+Parallel Feature Extraction through Preserving
+Global and Discriminative Property for Kernel-Based
+Image Classification
+Xun-Fei Liu, and Xiang-Xian Zhu
+Department of Electrical Engineering
+Suzhou Institute of Industrial Technology
+Suzhou, 215104, China
+Received May, 2015; revised June, 2015"

+4563cbfbdba1779fc598081071ae40be021cb81d,Adversarial Attacks on Variational Autoencoders,"Adversarial Attacks on Variational Autoencoders
+George Gondim-Ribeiro, Pedro Tabacof, and Eduardo Valle
+RECOD Lab. — DCA / School of Electrical and Computer Engineering (FEEC)
+University of Campinas (Unicamp)
+Campinas, SP, Brazil
+{gribeiro, tabacof,"

+4541f3ee510b593243ff9a66d3586ef9125c2931,Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms,"Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms
+{tag}                                                 {/tag}
+International Journal of Computer Applications
+Foundation of Computer Science (FCS), NY, USA
+Volume 134
+Number 7
+Year of Publication: 2016
+Authors:
+Filani Araoluwa S., Adetunmbi Adebayo O.
+10.5120/ijca2016907932
+{bibtex}2016907932.bib{/bibtex}"

+458e44d20f7a85a0ce378b48a41febb16383c075,Tracking Interacting Objects in Image Sequences,"Tracking Interacting Objects in Image Sequences
+THÈSE NO 6632 (2015)
+PRÉSENTÉE LE 3 JUILLET 2015
+À LA FACULTÉ INFORMATIQUE ET COMMUNICATIONS
+LABORATOIRE DE VISION PAR ORDINATEUR
+PROGRAMME DOCTORAL EN INFORMATIQUE ET COMMUNICATIONS
+ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE
+POUR L'OBTENTION DU GRADE DE DOCTEUR ÈS SCIENCES
+Xinchao WANG
+cceptée sur proposition du jury:
+Prof. W. Gerstner, président du jury
+Prof. P. Fua,   directeur de thèse
+Prof. J. Sullivan, rapporteuse
+Prof. P. Dillenbourg, rapporteur
+Prof. S. Roth, rapporteur
+Suisse"

+456f00e213e03058a056069fa75c34929cf7d4e9,Detecting ground control points via convolutional neural network for stereo matching,"Noname manuscript No.
+(will be inserted by the editor)
+Detecting Ground Control Points via Convolutional Neural Network for
+Stereo Matching
+Zhun Zhong · Songzhi Su · Donglin Cao · Shaozi Li
+Received: date / Accepted: date"

+4599b9d9a379385a3d31681696d2523beeb0e9c1,LG ] 8 F eb 2 01 6 A Latent-Variable Grid Model,"A Latent-Variable Grid Model
+Rajasekaran Masatran
+Computer Science and Engineering, Indian Institute of Technology Madras
+FREESHELL · ORG"

+45e459462a80af03e1bb51a178648c10c4250925,LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning,"LCrowdV: Generating Labeled Videos for
+Simulation-based Crowd Behavior Learning
+Ernest Cheung1, Tsan Kwong Wong1, Aniket Bera1, Xiaogang Wang2, and
+Dinesh Manocha1
+The University of North Carolina at Chapel Hill"

+458677de7910a5455283a2be99f776a834449f61,Face Image Retrieval Using Facial Attributes By K-Means,"Face Image Retrieval Using Facial Attributes By
+K-Means
+[1]I.Sudha,  [2]V.Saradha, [3]M.Tamilselvi, [4]D.Vennila
+[1]AP, Department of CSE ,[2][3][4] B.Tech(CSE)
+Achariya college of Engineering Technology-
+Puducherry"

+45a6333fc701d14aab19f9e2efd59fe7b0e89fec,Dataset Creation for Gesture Recognition,"HAND POSTURE DATASET CREATION FOR GESTURE
+RECOGNITION
+Luis Anton-Canalis
+Instituto de Sistemas Inteligentes y Aplicaciones Numericas en Ingenieria
+Campus Universitario de Tafira, 35017 Gran Canaria, Spain
+Elena Sanchez-Nielsen
+Departamento de E.I.O. y Computacion
+8271 Universidad de La Laguna, Spain
+Keywords:
+Image understanding, Gesture recognition, Hand dataset."

+4562272025a5bcdb321408116c699798a7997847,Leveraging RGB-D Data: Adaptive fusion and domain adaptation for object detection,"Leveraging RGB-D Data: Adaptive Fusion and
+Domain Adaptation for Object Detection
+Luciano Spinello and Kai O. Arras
+Social Robotics Lab, University of Freiburg, Germany
+{spinello,"

+457d3ca924afc21719d19175caf285aa575d1c90,Analyzing Structured Scenarios by Tracking People and Their Limbs,

+45e2aa7706fcedcbb2d93304a9824fe762b8b3b0,DAC-SDC Low Power Object Detection Challenge for UAV Applications,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2018
+DAC-SDC Low Power Object Detection
+Challenge for UAV Applications
+Xiaowei Xu, Member, IEEE, Xinyi Zhang, Student Member, IEEE, Bei Yu, Senior Member, IEEE, Xiaobo
+Sharon Hu, Fellow, IEEE, Christopher Rowen, Fellow, IEEE, Jingtong Hu, Member, IEEE, and Yiyu
+Shi, Senior Member, IEEE"

+456983805a8781d6429bed1ed66dc9f3902767af,Seeing with Humans: Gaze-Assisted Neural Image Captioning,"Seeing with Humans: Gaze-Assisted
+Neural Image Captioning
+Yusuke Sugano and Andreas Bulling"

+45ca696076e9c073e6cf699766f808899589bc88,Aalborg Universitet Thermal Tracking of Sports Players,"Aalborg Universitet
+Thermal Tracking of Sports Players
+Gade, Rikke; Moeslund, Thomas B.
+Published in:
+Sensors
+DOI (link to publication from Publisher):
+0.3390/s140813679
+Publication date:
+Document Version
+Publisher's PDF, also known as Version of record
+Link to publication from Aalborg University
+Citation for published version (APA):
+Gade, R., & Moeslund, T. B. (2014). Thermal Tracking of Sports Players. Sensors, 14(8), 13679-13691. DOI:
+0.3390/s140813679
+General rights
+Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners
+nd it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.
+? Users may download and print one copy of any publication from the public portal for the purpose of private study or research.
+? You may not further distribute the material or use it for any profit-making activity or commercial gain
+? You may freely distribute the URL identifying the publication in the public portal ?"

+458713d5c1dd8ff95865302e51f0f8df22204d91,A Review on Face Recognition Using Different Pre- Processing Methods in Images Captured under Various Illumination and Posing Conditions,

+1f98daf89f9a3dba655f0a4eb4164118ea6226ef,"Parallel k-Means Image Segmentation Using Sort, Scan and Connected Components on a GPU","The original publication is available at: www.springerlink.com
+Parallel k-Means Image Segmentation Using
+Sort, Scan & Connected Components on a GPU
+Michael Backer, Jan T¨unnermann, and B¨arbel Mertsching
+GET Lab, University of Paderborn, Pohlweg 47-49, 33098 Paderborn, Germany
+{backer, tuennermann,
+http://getwww.upb.de"

+1ffe20eb32dbc4fa85ac7844178937bba97f4bf0,Face Clustering: Representation and Pairwise Constraints,"Face Clustering: Representation and Pairwise
+Constraints
+Yichun Shi, Student Member, IEEE, Charles Otto, Member, IEEE, and Anil K. Jain, Fellow, IEEE"

+1ff616ae8b61f8167f2d626b7c1a36e018b23e94,Learning with Parsimony for Large Scale Object Detection and Discovery,"Learning with Parsimony for Large Scale Object
+Detection and Discovery
+Hyun Oh Song
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2014-148
+http://www.eecs.berkeley.edu/Pubs/TechRpts/2014/EECS-2014-148.html
+August 12, 2014"

+1f7cd3343f4b6b0f936c94e3a45c477c014e2b5c,3D Human Pose Estimation on a Configurable Bed from a Pressure Image,"D Human Pose Estimation on a Configurable Bed from a Pressure Image
+Henry M. Clever*, Ariel Kapusta, Daehyung Park, Zackory Erickson, Yash Chitalia, Charles C. Kemp"

+1f8304f4b51033d2671147b33bb4e51b9a1e16fe,Beyond Trees: MAP Inference in MRFs via Outer-Planar Decomposition,"Noname manuscript No.
+(will be inserted by the editor)
+Beyond Trees:
+MAP Inference in MRFs via Outer-Planar Decomposition
+Dhruv Batra · Andrew C. Gallagher · Devi Parikh · Tsuhan Chen
+Received: date / Accepted: date"

+1f9ae272bb4151817866511bd970bffb22981a49,An Iterative Regression Approach for Face Pose Estimation from RGB Images,"An Iterative Regression Approach for Face Pose Estima-
+tion from RGB Images
+Wenye He
+This paper presents a iterative optimization method, explicit shape regression, for face pose
+detection and localization. The regression function is learnt to find out the entire facial shape
+nd minimize the alignment errors. A cascaded learning framework is employed to enhance
+shape constraint during detection. A combination of a two-level boosted regression, shape
+performance. In this paper, we have explain the advantage of ESR for deformable object like
+face pose estimation and reveal its generic applications of the method. In the experiment,
+we compare the results with different work and demonstrate the accuracy and robustness in
+different scenarios.
+Introduction
+Pose estimation is an important problem in computer vision, and has enabled many practical ap-
+plication from face expression 1 to activity tracking 2. Researchers design a new algorithm called
+explicit shape regression (ESR) to find out face alignment from a picture 3. Figure 1 shows how
+the system uses ESR to learn a shape of a human face image. A simple way to identify a face is to
+find out facial landmarks like eyes, nose, mouth and chin. The researchers define a face shape S
+nd S is composed of Nf p facial landmarks. Therefore, they get S = [x1, y1, ..., xNf p, yNf p]T . The
+objective of the researchers is to estimate a shape S of a face image. The way to know the accuracy"

+1f2f712253a68cd9f8172de19297e35cec7919dd,Vision System of Facial Robot SHFR- III for Human-robot Interaction,

+1f8eefd6dd2f20fd78a67dfdfe33022c6f9981d6,Unsupervised Features for Facial Expression Intensity Estimation over Time,

+1fef45786e707e6b9b8517b0403e596ecbdea6a5,Sketch-based manga retrieval using manga109 dataset,"JOURNAL OF LATEX CLASS FILES, VOL. 11, NO. 4, DECEMBER 2012
+Sketch-based Manga Retrieval
+using Manga109 Dataset
+Yusuke Matsui, Member, IEEE, Kota Ito, Yuji Aramaki, Toshihiko Yamasaki, Member, IEEE,
+nd Kiyoharu Aizawa, Senior Member, IEEE,"

+1fc249ec69b3e23856b42a4e591c59ac60d77118,Evaluation of a 3D-aided pose invariant 2D face recognition system,"Evaluation of a 3D-aided Pose Invariant 2D Face Recognition System
+Xiang Xu, Ha A. Le, Pengfei Dou, Yuhang Wu, Ioannis A. Kakadiaris
+{xxu18, hale4, pdou, ywu35,
+Computational Biomedicine Lab
+800 Calhoun Rd. Houston, TX, USA"

+1f4aa1d14bb99e152dd1c7ac3cfd5afa8f6a012f,Learning Discriminative Part Detectors for Image Classification and Cosegmentation,"Learning Discriminative Part Detectors for Image Classification and
+Cosegmentation
+Jian Sun
+Jean Ponce
+Xi’an Jiaotong University, INRIA, ∗
+´Ecole Normale Sup´erieure, *
+This is a preliminary version accepted for publication to ICCV 2013"

+1fbb66a9407470e1da332c4ef69cdc34e169a3d7,A Baseline for General Music Object Detection with Deep Learning,"Article
+A Baseline for General Music Object Detection with
+Deep Learning
+Alexander Pacha 1,*
+, Jan Hajiˇc, Jr. 2 and Jorge Calvo-Zaragoza 3
+Institute for Visual Computing and Human-Centered Technology, TU Wien, 1040 Wien, Austria
+Institute of Formal and Applied Linguistics, Charles University, 116 36 Staré Mˇesto, Czech Republic;
+PRHLT Research Center, Universitat Politècnica de València, 46022 València, Spain;
+* Correspondence:
+Received: 31 July 2018; Accepted: 26 August 2018; Published: 29 August 2018"

+1fbde67e87890e5d45864e66edb86136fbdbe20e,The Action Similarity Labeling Challenge,"The Action Similarity Labeling Challenge
+Orit Kliper-Gross, Tal Hassner, and
+Lior Wolf, Member, IEEE"

+1ff057f2fb8258bd5359cded950a3627bd8ee1f4,Low-rank embedding for semisupervised face classification,"Low-Rank Embedding for Semisupervised Face Classification
+Gaurav Srivastava, Ming Shao and Yun Fu∗"

+1f41a96589c5b5cee4a55fc7c2ce33e1854b09d6,Demographic Estimation from Face Images: Human vs. Machine Performance,"Demographic Estimation from Face Images:
+Human vs. Machine Performance
+Hu Han, Member, IEEE, Charles Otto, Student Member, IEEE, Xiaoming Liu, Member, IEEE
+nd Anil K. Jain, Fellow, IEEE"

+1f35f0400d6d112e3b27231d0d9241258efd782d,Learning to Rank Using High-Order Information,"Learning to Rank Using High-Order Information
+Puneet Kumar Dokania1, Aseem Behl2, C.V. Jawahar2, and M. Pawan Kumar1
+Ecole Centrale de Paris
+INRIA Saclay, France
+IIIT Hyderabad, India"

+1fcd7978c6956fd9a0d752ecc9f5ac1a1b2896e9,Impact of Face Registration Errors on Recognition,"Impact of Face Registration Errors on Recognition
+E. Rentzeperis, A. Stergiou, A. Pnevmatikakis and L. Polymenakos
+Athens Information Technology, Autonomic and Grid Computing,
+Markopoulou Ave., 19002 Peania, Greece
+{eren, aste, apne,
+http://www.ait.edu.gr/research/RG1/overview.asp"

+1f5e47ad5490a63c7bea79000999b711055fbf2a,Aggregated Channels Network for Real-Time Pedestrian Detection,"Aggregated Channels Network for Real-Time Pedestrian Detection
+Farzin Ghorban1,2, Javier Marín3, Yu Su2, Alessandro Colombo2, Anton Kummert1
+Universität Wuppertal, 2Delphi Deutschland, 3Massachusetts Institute of Technology"

+1f5c409e9b6aec60003b5d4534373f9b07ff8443,Saliency Weighted Features for Person Re-identification,"Saliency Weighted Features for Person
+Re-Identification
+Niki Martinel, Christian Micheloni and Gian Luca Foresti
+Department of Mathematics and Computer Science
+University of Udine - 33100, Udine, Italy"

+1fc952fef09d63c61b9b8828f872b7a018eefac1,QUEST: Quadriletral Senary bit Pattern for Facial Expression Recognition,"ACCEPTED IN SMC IEEE CONFERENCE 2018 (PAPER ID: 13628)
+QUEST:Quadriletral Senary bit Pattern for Facial
+Expression Recognition
+Monu Verma1
+Prafulla Saxena2
+S. K. Vipparthi3
+Gridhari Singh4
+Dept. of Computer Science and Engineering, Malaviya national Institute of Technology, Jaipur, India
+improves"

+1f65cbc7894323a85f2964d05ae937070e70e43b,Eliminating Background-bias for Robust Person Re-identification,"Eliminating Background-bias for Robust Person Re-identification
+Maoqing Tian1, Shuai Yi1, Hongsheng Li2, Shihua Li3,
+Xuesen Zhang1, Jianping Shi1, Junjie Yan1, Xiaogang Wang2
+SenseTime Research, 2 Chinese University of Hong Kong, 3 Shenzhen Municipal Public Security Bureau"

+1f4fff64adef5ec6ae21e8647d5a042bf71d64d9,Human detection in surveillance videos and its applications - a review,"Paul et al. EURASIP Journal on Advances in Signal Processing 2013, 2013:176
+http://asp.eurasipjournals.com/content/2013/1/176
+R EV I E W
+Human detection in surveillance videos and its
+pplications - a review
+Manoranjan Paul*, Shah M E Haque and Subrata Chakraborty
+Open Access"

+1f18708439ba1dadd81568e102216731d44340d5,Sparse Quantization for Patch Description,"Sparse Quantization for Patch Description
+Xavier Boix
+Michael Gygli
+Gemma Roig
+Luc Van Gool
+Computer Vision Lab, ETH Zurich, Switzerland"

+1f8e44593eb335c2253d0f22f7f9dc1025af8c0d,Fine-Tuning Regression Forests Votes for Object Alignment in the Wild,"Fine-tuning regression forests votes for object alignment in the wild.
+Yang, H; Patras, I
+© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be
+obtained for all other uses, in any current or future media, including reprinting/republishing
+this material for advertising or promotional purposes, creating new collective works, for resale
+or redistribution to servers or lists, or reuse of any copyrighted component of this work in
+other works.
+For additional information about this publication click this link.
+http://qmro.qmul.ac.uk/xmlui/handle/123456789/22607
+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"

+1f6dd0ff2e8493b81e3699b520193198d4eed4e6,Shaogang Gong Part I Features and Representations 1 Discriminative Image Descriptors for Person Re-identification . . . . . 25 7 One-shot Person Re-identification with a Consumer Depth Camera . 163 List of Contributors the Re-identification Challenge,"Shaogang Gong
+Marco Cristani
+Shuicheng Yan
+Chen Change Loy (Eds.)
+PERSON RE-IDENTIFICATION
+October 10, 2013
+Springer"

+1fa9c5af78b3ca04476f4ee6910684dc19008f5e,Supplementary Material : Cross-Dataset Adaptation for Visual Question Answering,"Supplementary Material:
+Cross-Dataset Adaptation for Visual Question Answering
+Wei-Lun Chao∗
+U. of Southern California
+Los Angeles, CA
+Hexiang Hu∗
+Los Angeles, CA
+U. of Southern California
+U. of Southern California
+Fei Sha
+Los Angeles, CA
+We provide contents omitted in the main text.
+• Section 1: details on Name that dataset! (Sect. 3.2 of
+the main text).
+• Section 2: details on the proposed domain adaptation
+lgorithm (Sect. 4.2 and 4.3 of the main text).
+• Section 3: details on the experimental setup (Sect. 5.2
+of the main text).
+• Section 4: additional experimental results (Sect. 5.3
+nd 5.4 of the main text)."

+1fed6a571d9f688e18960e560d9441f5c5e3e2bd,Scalable Active Learning for Multiclass Image Classification,"MITSUBISHI ELECTRIC RESEARCH LABORATORIES
+http://www.merl.com
+Scalable Active Learning for Multi-Class
+Image Classification
+Joshi, A.J.; Porikli, F.; Papanikolopoulos, N.
+TR2012-026
+January 2012"

+1f436aa4e68274037fff44e6cfbcd0a1ee3f60df,Tell and Predict: Kernel Classifier Prediction for Unseen Visual Classes from Unstructured Text Descriptions,"Tell and Predict: Kernel Classifier Prediction for Unseen Visual Classes
+from Unstructured Text Descriptions
+Mohamed Elhoseiny, Ahmed Elgammal, Babak Saleh"

+1fd8c71a8859da611a8fde1cbb2bba1c7cf00b4c,EYEDIAP: a database for the development and evaluation of gaze estimation algorithms from RGB and RGB-D cameras,"This paper was presented at the 2014 Symposium on Eye Tracking Research & Applications 2014
+EYEDIAP: A Database for the Development and Evaluation of Gaze Estimation
+Algorithms from RGB and RGB-D Cameras
+Kenneth Alberto Funes Mora1,2, Florent Monay1 and Jean-Marc Odobez1,2
+Idiap Research Institute 2 ´Ecole Polytechnique F´ed´erale de Lausanne (EPFL), Switzerland
+{kfunes, monay,"

+1fe74d637bc5e7d95abcd18b6967e51461fd8cdd,On the Dynamic Selection of Biometric Fusion Algorithms,"On the Dynamic Selection of Biometric Fusion
+Algorithms
+Mayank Vatsa, Member, IEEE, Richa Singh, Member, IEEE, Afzel Noore, Member, IEEE, and
+Arun Ross, Member, IEEE"

+1fb2082d3f772933b586cca65af2099512b9c68b,Comparison of Spectral-Only and Spectral/Spatial Face Recognition for Personal Identity Verification,"Hindawi Publishing Corporation
+EURASIP Journal on Advances in Signal Processing
+Volume 2009, Article ID 943602, 6 pages
+doi:10.1155/2009/943602
+Research Article
+Comparison of Spectral-Only and Spectral/Spatial Face
+Recognition for Personal Identity Verification
+Zhihong Pan,1 Glenn Healey,2 and Bruce Tromberg3
+Galileo Group Inc., 100 Rialto Place Suite 737, Melbourne, FL 32901, USA
+Department of Electrical Engineering and Computer Science, University of California, Irvine, CA 92697, USA
+Beckman Laser Institute, 1002 East Health Sciences Road, Irvine, CA 92612, USA
+Correspondence should be addressed to Zhihong Pan,
+Received 29 September 2008; Revised 22 February 2009; Accepted 8 April 2009
+Recommended by Kevin Bowyer
+Face recognition based on spatial features has been widely used for personal identity verification for security-related applications.
+Recently, near-infrared spectral reflectance properties of local facial regions have been shown to be suf‌f‌icient discriminants for
+ccurate face recognition. In this paper, we compare the performance of the spectral method with face recognition using the
+eigenface method on single-band images extracted from the same hyperspectral image set. We also consider methods that use
+multiple original and PCA-transformed bands. Lastly, an innovative spectral eigenface method which uses both spatial and spectral
+features is proposed to improve the quality of the spectral features and to reduce the expense of the computation. The algorithms"

+1f614a97e16671c091b1bcd1a33e1280822b53db,Tracking People's Hands and Feet Using Mixed Network AND/OR Search,"DRAFT FOR TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
+Tracking people’s hands and feet using mixed
+network AND/OR search
+Vlad I. Morariu, Member, IEEE, David Harwood, Member, IEEE,
+nd Larry S. Davis, Fellow, IEEE"

+1f94734847c15fa1da68d4222973950d6b683c9e,Embedding Label Structures for Fine-Grained Feature Representation,"Embedding Label Structures for Fine-Grained Feature Representation
+Xiaofan Zhang
+UNC Charlotte
+Charlotte, NC 28223
+Feng Zhou
+NEC Lab America
+Cupertino, CA 95014
+Yuanqing Lin
+NEC Lab America
+Cupertino, CA 95014
+Shaoting Zhang
+UNC Charlotte
+Charlotte, NC 28223"

+1ff89bd94d8a21b7ca4bf844e2d366f854822918,Robust Online Multi-object Tracking by Maximum a Posteriori Estimation with Sequential Trajectory Prior,"Robust Online Multi-object Tracking
+y Maximum a Posteriori Estimation
+with Sequential Trajectory Prior
+Min Yang(B), Mingtao Pei, Jiajun Shen, and Yunde Jia
+Beijing Laboratory of Intelligent Information Technology, School of Computer
+Science, Beijing Institute of Technology, Beijing 100081, People’s Republic of China"

+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:"

+1f69fa423b076e19dc2ccf6bc9013f09ae39133c,Multimodal Dialogs (MMD): A large-scale dataset for studying multimodal domain-aware conversations,"Towards Building Large Scale Multimodal Domain-Aware Conversation Systems
+Amrita Saha1,2
+Mitesh M. Khapra2
+Karthik Sankaranarayanan1
+IBM Research AI
+I.I.T. Madras, India"

+1f8f0abfe4689aa93f2f6cc7ec4fd4c6adc2c2d6,Semantic Instance Segmentation with a Discriminative Loss Function,"Semantic Instance Segmentation with a Discriminative Loss Function
+Bert De Brabandere∗
+Davy Neven∗
+ESAT-PSI, KU Leuven
+Luc Van Gool"

+1fd54172f7388cd83ed78ff9165519296de5cf20,Changing the Image Memorability: From Basic Photo Editing to GANs,"Changing the Image Memorability: From Basic Photo Editing to GANs
+Oleksii Sidorov
+The Norwegian Colour and Visual Computing Laboratory, NTNU
+Gjovik, Norway
+Figure 1: Modification of memorability using the proposed algorithm. All the results were generated without any human intervention.
+“What” and “how” to change were learned by the model from experimental data."

+1f82eebadc3ffa41820ad1a0f53770247fc96dcd,Using Trajectories derived by Dense Optical Flows as a Spatial Component in Background Subtraction,"Using Trajectories derived by Dense Optical Flows as a
+Spatial Component in Background Subtraction
+Martin Radolko
+University of Rostock
+nd Fraunhofer IGD
+Joachim-Jungius 11
+Rostock 18059
+r.fraunhofer.de
+Fahimeh Farhadifard
+University of Rostock
+nd Fraunhofer IGD
+Joachim-Jungius 11
+Rostock 18059
+r.fraunhofer.de"

+1f3370e2e6381408efe11e69ab12586bd6f74dc8,Feature Selection Library (MATLAB Toolbox),"Feature Selection Techniques for Classification:
+A widely applicable code library
+Giorgio Roffo
+University of Verona,
+Department of Computer Science"

+1f2c99bf032868ce520b9c5586a0c20051367b60,A Study of The Illumination Cones Method for Face Recognition Under Variable Illumination T.J. Chin and D. Suter A Study of The Illumination Cones Method for Face Recognition Under Variable Illumination,"Department of Electrical
+Computer Systems Engineering
+Technical Report
+MECSE-7-2004
+A Study of The Illumination Cones Method for Face
+Recognition Under Variable Illumination
+T.J. Chin and D. Suter"

+1f53ca209f982500069fed73efe2345358eff79e,Pedestrian Detection with Deep Convolutional Neural Network,"Pedestrian Detection with Deep Convolutional
+Neural Network
+Xiaogang Chen, Pengxu Wei, Wei Ke, Qixiang Ye, Jianbin Jiao
+School of Electronic,Electrical and Communication Engineering, University of
+Chinese Academy of Science, Beijing, China"

+1f8d539885f78e1a9d1314e952f3099e71676a5b,Audio-Visual Speaker Diarization Based on Spatiotemporal Bayesian Fusion,"Audio-Visual Speaker Diarization Based on
+Spatiotemporal Bayesian Fusion
+Israel D. Gebru, Sil`eye Ba, Xiaofei Li and Radu Horaud"

+1f7cf2df2fa7719c9db3fe57a0f01d65f08a9a8f,How social exclusion modulates social information processing: A behavioural dissociation between facial expressions and gaze direction,"RESEARCH ARTICLE
+How social exclusion modulates social
+information processing: A behavioural
+dissociation between facial expressions and
+gaze direction
+Francesco Bossi1,2*, Marcello Gallucci1,2, Paola Ricciardelli1,2
+Department of Psychology, University of Milan – Bicocca, Milan, Italy, 2 NeuroMI: Milan Center for
+Neuroscience, Milan, Italy"

+73a7ccf0facccd8943f7e54d19478f2bef9b7dab,Number 16,"Number 16
+{tag}                                                 {/tag}
+International Journal of Computer Applications
+Foundation of Computer Science (FCS), NY, USA
+Volume 132
+Number 16
+Year of Publication: 2015
+Authors:
+Pronaya Prosun Das, Taskeed Jabid, S.M. Shariar Mahamud
+10.5120/ijca2015907690
+{bibtex}2015907690.bib{/bibtex}"

+73f467b4358ac1cafb57f58e902c1cab5b15c590,Combination of Dimensionality Reduction Techniques for Face Image Retrieval: A Review,"ISSN 0976 3724                                                                                                                                  47
+Combination of Dimensionality Reduction Techniques for Face
+Image Retrieval: A Review
+Fousiya K.K 1, Jahfar Ali P 2
+M.Tech Scholar, MES College of Engineering, Kuttippuram,
+Kerala
+Asst. Professor, MES College of Engineering, Kuttippuram,
+Kerala"

+7323b594d3a8508f809e276aa2d224c4e7ec5a80,An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+An Experimental Evaluation of Covariates
+Effects on Unconstrained Face Verification
+Boyu Lu, Student Member, IEEE, Jun-Cheng Chen, Member, IEEE, Carlos D Castillo, Member, IEEE
+nd Rama Chellappa, Fellow, IEEE"

+732e8d8f5717f8802426e1b9debc18a8361c1782,Unimodal Probability Distributions for Deep Ordinal Classification,"Unimodal Probability Distributions for Deep Ordinal Classification
+Christopher Beckham 1 Christopher Pal 1"

+73351b313df89572afe1332625044f7e5dd0ce06,High-level Feature Learning by Ensemble Projection for Image Classification with Limited Annotations I,"High-level Feature Learning by Ensemble Projection for Image
+Classification with Limited Annotations $
+Dengxin Dai∗, Luc Van Gool
+Computer Vision Lab, ETH Z¨urich, CH-8092, Switzerland"

+73c72161969a070b3caa40d4f075ba501a1b994b,Expression-Invariant 3D Face Recognition Using Patched Geodesic Texture Transform,"Expression-Invariant 3D Face Recognition using Patched
+Geodesic Texture Transform
+Author
+Hajati, Farshid, Raie, Abolghasem, Gao, Yongsheng
+Published
+Conference Title
+Proceedings 2010 Digital Image Computing: Techniques and Applications DICTA 2010
+https://doi.org/10.1109/DICTA.2010.52
+Copyright Statement
+© 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/
+republish this material for advertising or promotional purposes or for creating new collective
+works for resale or redistribution to servers or lists, or to reuse any copyrighted component of
+this work in other works must be obtained from the IEEE.
+Downloaded from
+http://hdl.handle.net/10072/37733
+Link to published version
+http://dicta2010.conference.nicta.com.au/
+Griffith Research Online
+https://research-repository.griffith.edu.au"

+73764fa9bed84ad2c932dc8089ace7fa8fa7c1d3,"Disparity Statistics for Pedestrian Detection: Combining Appearance, Motion and Stereo","Disparity Statistics for Pedestrian Detection:
+Combining Appearance, Motion and Stereo
+Stefan Walk1, Konrad Schindler1,2, and Bernt Schiele1,3
+Computer Science Department, TU Darmstadt
+Photogrammetry and Remote Sensing Group, ETH Z¨urich
+MPI Informatics, Saarbr¨ucken"

+73ed64803d6f2c49f01cffef8e6be8fc9b5273b8,Cooking in the kitchen: Recognizing and Segmenting Human Activities in Videos,"Noname manuscript No.
+(will be inserted by the editor)
+Cooking in the kitchen: Recognizing and Segmenting Human
+Activities in Videos
+Hilde Kuehne · Juergen Gall · Thomas Serre
+Received: date / Accepted: date"

+73bbbfac7b144f835840fe7f7b5139283bf4f3f1,Do we spontaneously form stable trustworthiness impressions from facial appearance?,"ATTITUDES AND SOCIAL COGNITION
+Do We Spontaneously Form Stable Trustworthiness Impressions From
+Facial Appearance?
+André Klapper
+Radboud University
+Ron Dotsch
+Utrecht University and Radboud University
+Iris van Rooij and Daniël H. J. Wigboldus
+Radboud University
+It is widely assumed among psychologists that people spontaneously form trustworthiness impressions of
+newly encountered people from their facial appearance. However, most existing studies directly or
+indirectly induced an impression formation goal, which means that the existing empirical support for
+spontaneous facial trustworthiness impressions remains insufficient. In particular, it remains an open
+question whether trustworthiness from facial appearance is encoded in memory. Using the ‘who said
+what’ paradigm, we indirectly measured to what extent people encoded the trustworthiness of observed
+faces. The results of 4 studies demonstrated a reliable tendency toward trustworthiness encoding. This
+was shown under conditions of varying context-relevance, and salience of trustworthiness. Moreover,
+evidence for this tendency was obtained using both (experimentally controlled) artificial and (naturalistic
+varying) real faces. Taken together, these results suggest that there is a spontaneous tendency to form
+relatively stable trustworthiness impressions from facial appearance, which is relatively independent of"

+73713880d4d1ec4c8f4608a94f67ea9e9f9a97a5,Visual query attributes suggestion,"Visual Query Attributes Suggestion
+Jingwen Bian
+National University of
+Singapore, Singapore
+Zheng-Jun Zha
+National University of
+Singapore, Singapore
+Hanwang Zhang
+National University of
+Singapore, Singapore
+Qi Tian
+University of Texas at San
+Antonio, USA"

+73fa81d2b01c81c6ede71d046f9101440884e604,Fuzzy Based Texton Binary Shape Matrix (FTBSM) for Texture Classification,"Global Journal of Computer Science and Technology
+Graphics & Vision
+Volume 12 Issue 15 Version 1.0 Year 2012
+Type: Double Blind Peer Reviewed International Research Journal
+Publisher: Global Journals Inc. (USA)
+Online ISSN: 0975-4172 & Print ISSN: 0975-4350
+Fuzzy  Based  Texton  Binary  Shape  Matrix  (FTBSM)  for  Texture
+Classification
+By P.Chandra Sekhar Reddy & B.Eswara Reddy
+Jntua College of Engineering, Anantapur, A.P, India"

+73c13ba142588f45aaa92805fe75ca2691ac981b,A Comparative Study of Social Scene Parsing Strategies between Children with and without Autism Spectrum Disorder,"96                                                                                  Jul 2016 Vol 9 No.3                                    North American Journal of Medicine and Science
+Original Research
+A Comparative Study of Social Scene Parsing
+Strategies between Children with and
+without Autism Spectrum Disorder
+Chen Song;1 Aosen Wang;1 Kathy Ralabate Doody, PhD;2* Michelle Hartley-
+McAndrew, MD;3 Jana Mertz, MBA;4 Feng Lin, PhD;1 Wenyao Xu, PhD1
+Computer Science and Engineering, SUNY, University at Buffalo, Buffalo NY
+Exceptional Education, SUNY, Buffalo State, Buffalo, NY
+Jacobs School of Medicine and Biomedical Sciences, SUNY, University at Buffalo Women and Children's Hospital of Buffalo, Buffalo, NY
+Children’s Guild Foundation Autism Spectrum Disorder Center, Women and Children’s Hospital of Buffalo, Buffalo, NY
+Autism  spectrum  disorder  (ASD)  is  a  complex  developmental  disability  characterized  by  deficits  in  social
+interaction. Gaze behavior is of great interest because it reveals the parsing strategy the participant uses to
+chieve social content. The legacy features in gaze fixation, such as time and area-of-interest, however, cannot
+omprehensively reveal the way the participant may cognize the social scene. In this work, we investigate the
+dynamic components within the gaze behavior of children with ASD upon the carefully-selected social scene.
+A cohort of child participants (n = 51) were recruited between 2 and 10 years. The results suggest significant
+differences in the social scene parsing strategies of children with ASD, giving added insight into the way they
+may decode and interpret the social scenarios.
+[N A J Med Sci. 2016;9(3):96-103.   DOI:  10.7156/najms.2016.0903096]"

+73d8fafee6be9d4fa789ece2192f259199f00e60,3D Face Recognition Using Radon Transform and Factorial Discriminant Analysis (FDA),"Volume 3, Issue 7, July 2013                                    ISSN: 2277 128X
+International Journal of Advanced Research in
+Computer Science and Software Engineering
+Research Paper
+Available online at: www.ijarcsse.com
+D Face Recognition Using Radon Transform and Factorial
+Discriminant Analysis (FDA)
+P. S. Hiremath , Manjunatha Hiremath
+Department of Computer Science
+Gulbarga University, Gulbarga-585106
+Karnataka, India."

+735c38361d77e707ac48f0d040493c65ca559d3c,Machine Learning for Simplifying the Use of Cardiac Image Databases. (Apprentissage automatique pour simplifier l'utilisation de banques d'images cardiaques),"N°:  2009 ENAM XXXX
+École doctorale n° 84 :
+Sciences et technologies de l’information et de la communication
+Doctorat ParisTech
+T H È S E
+pour obtenir le grade de docteur délivré par
+l’École nationale supérieure des mines de Paris
+Spécialité “ Contrôle, optimisation et prospective ”
+présentée et soutenue publiquement par
+Ján MARGETA
+le 14 Décembre 2015
+Apprentissage automatique pour simplifier
+l’utilisation de banques d’images cardiaques
+Machine Learning for Simplifying
+the Use of Cardiac Image Databases
+Directeurs de thèse : Nicholas AYACHE et Antonio CRIMINISI
+M. Patrick CLARYSSE, DR, Creatis, CNRS, INSA Lyon
+M. Bjoern MENZE, Professeur, ImageBioComp Group, TU München
+M. Hervé DELINGETTE, DR, Asclepios Research Project, Inria Sophia Antipolis
+M. Antonio CRIMINISI, Chercheur principal, MLP Group, Microsoft Research Cambridge"

+7306d42ca158d40436cc5167e651d7ebfa6b89c1,Transductive Zero-Shot Action Recognition by Word-Vector Embedding,"Noname manuscript No.
+(will be inserted by the editor)
+Transductive Zero-Shot Action Recognition by
+Word-Vector Embedding
+Xun Xu · Timothy Hospedales · Shaogang Gong
+Received: date / Accepted: date"

+73200504c7381c48c900894455995b9188676cd5,Weakly-Supervised Image Annotation and Segmentation with Objects and Attributes,"Weakly-Supervised Image Annotation and
+Segmentation with Objects and Attributes
+Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales, Tao Xiang"

+734cdda4a4de2a635404e4c6b61f1b2edb3f501d,Automatic landmark point detection and tracking for human facial expressions,"Tie and Guan EURASIP Journal on Image and Video Processing 2013, 2013:8
+http://jivp.eurasipjournals.com/content/2013/1/8
+R ES EAR CH
+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
+Teachers’ differing classroom behaviors:
+The role of emotional sensitivity and cultural tolerance
+Ceren Su Abacıoğlu
+Supervisor: prof. dr. Agneta Fischer
+Second supervisor: dr. Disa Sauter
+External Supervisor: prof. dr. Monique Volman
+Research Master’s, Social Psychology
+Ethics Committee Reference Code: 2016-SP-7084"

+73599349402bf8f0d97f51862d11d128cdba44ef,Affective analysis of videos: detecting emotional content in real-life scenarios,"Affective Analysis of Videos:
+Detecting Emotional Content in Real-Life Scenarios
+vorgelegt von
+Master of Science
+Esra Acar Celik
+geb. in Afyonkarahisar
+Von der Fakultät IV – Elektrotechnik und Informatik –
+der Technischen Universität Berlin
+zur Erlangung des akademischen Grades
+Doktor der Ingenieurwissenschaften
+– Dr.-Ing. –
+genehmigte Dissertation
+Promotionsausschuss:
+Vorsitzender:
+Berichter:
+Berichter:
+Berichter:
+Prof. Dr. Thomas Wiegand
+Prof. Dr. Dr. h.c. Sahin Albayrak
+Prof. Dr. Adnan Yazıcı"

+73a4fe5072a30c132e8a0a18384caae4c112f198,What is typical is good: the influence of face typicality on perceived trustworthiness.,"554955 PSSXXX10.1177/0956797614554955Sofer et al.What Is Typical Is Good
+research-article2014
+Research Article
+What Is Typical Is Good: The Influence
+of Face Typicality on Perceived
+Trustworthiness
+015, Vol. 26(1) 39 –47
+© The Author(s) 2014
+Reprints and permissions:
+sagepub.com/journalsPermissions.nav
+DOI: 10.1177/0956797614554955
+pss.sagepub.com
+Carmel Sofer1,2, Ron Dotsch2,3, Daniel H. J. Wigboldus2, and
+Alexander Todorov1,2
+Department of Psychology, Princeton University; 2Behavioural Science Institute, Radboud University
+Nijmegen; and 3Department of Psychology, Utrecht University"

+73704242a548e8725926762faf7333e5598d0228,Surveillance of Super-Extended Objects : Bimodal Approach,"World Academy of Science, Engineering and Technology
+International Journal of Mechanical and Mechatronics Engineering
+Vol:8, No:9, 2014
+Surveillance of Super-Extended Objects: Bimodal
+Approach
+Andrey V. Timofeev, Dmitry Egorov"

+73866bdb723841da93b6ad93afe3d72817e2b377,Dense and Low-Rank Gaussian CRFs Using Deep Embeddings,"Dense and Low-Rank Gaussian CRFs Using Deep Embeddings
+Siddhartha Chandra1
+Nicolas Usunier2
+Iasonas Kokkinos2
+INRIA GALEN, CentraleSup´elec
+Facebook AI Research, Paris"

+73fbdd57270b9f91f2e24989178e264f2d2eb7ae,Kernel linear regression for low resolution face recognition under variable illumination,"978-1-4673-0046-9/12/$26.00 ©2012 IEEE
+ICASSP 2012"

+738d5a6491ae0fef5d2debc17f951534061cf6f8,Advances in Learning Visual Saliency: From Image Primitives to Semantic Contents,"Chapter 14
+Advances in Learning Visual Saliency:
+From Image Primitives to Semantic Contents
+Qi Zhao and Christof Koch"

+73d57e2c855c39b4ff06f2d7394ab4ea35f597d4,First Order Generative Adversarial Networks,"First Order Generative Adversarial Networks
+Calvin Seward 1 2 Thomas Unterthiner 2 Urs Bergmann 1 Nikolay Jetchev 1 Sepp Hochreiter 2"

+73052a2bf7b41b7be2447fadc13c29be1d994708,Pedestrian tracking using probability fields and a movement feature space 1,"Pedestrian tracking using probability fields and a movement feature space 1
+Pablo Negri a & Damián Garayalde b
+Universidad Argentina de la Empresa (UADE). CONICET. Buenos Aires, Argentina.
+Instituto Tecnológico de Buenos Aires (ITBA), Buenos Aires, Argentina.
+Received: April 18th, 2016. Received in revised form: November 1rd, 2016. Accepted: December 2nd, 2016."

+73ec2d5a6b4bee0f268b793ff646330507497e38,Is an Image Worth More than a Thousand Words? On the Fine-Grain Semantic Differences between Visual and Linguistic Representations,"Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers,
+pages 2807–2817, Osaka, Japan, December 11-17 2016."

+73be334ecc48751269443b0db2629086125e69f5,Robust Face Recognition under Difficult Lighting Conditions,"International Journal of Technological Exploration and Learning (IJTEL)
+Volume 1 Issue 1 (August 2012)
+Robust Face Recognition under Difficult Lighting
+Conditions
+S.S. Ghatge1,V.V. Dixit2
+Department of Electronics &Telecomunication1, 2
+Sinhgad College of Engineering1, 2
+University of Pune, India1, 2"

+731840289e35c61c6e21ae18f2da2751bd8e2f20,Event-related potential (ERP) correlates of face processing in verbal children with autism spectrum disorders (ASD) and their first-degree relatives: a family study,"Sysoeva et al. Molecular Autism  (2018) 9:41
+https://doi.org/10.1186/s13229-018-0220-x
+Open Access
+R ES EAR CH
+Event-related potential (ERP) correlates of
+face processing in verbal children with
+utism spectrum disorders (ASD) and their
+first-degree relatives: a family study
+Olga V. Sysoeva1,2, John N. Constantino1*
+nd Andrey P. Anokhin1"

+73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c,Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings,"imagesViewpoint factorizationLearned landmarksFigure1.Wepresentanovelmethodthatcanlearnviewpointin-variantlandmarkswithoutanysupervision.Themethodusesaprocessofviewpointfactorizationwhichlearnsadeeplandmarkdetectorcompatiblewithimagedeformations.Itcanbeappliedtorigidanddeformableobjectsandobjectcategories.terns.Achievingadeeperunderstandingofobjectsrequiresmodelingtheirintrinsicviewpoint-independentstructure.Oftenthisstructureisdefinedmanuallybyspecifyingen-titiessuchaslandmarks,parts,andskeletons.Givensuffi-cientmanualannotations,itispossibletoteachdeepneuralnetworksandothermodelstorecognizesuchstructuresinimages.However,theproblemoflearningsuchstructureswithoutmanualsupervisionremainslargelyopen.Inthispaper,wecontributeanewapproachtolearnviewpoint-independentrepresentationsofobjectsfromim-ageswithoutmanualsupervision(fig.1).Weformulatethistaskasafactorizationproblem,wheretheeffectsofimagedeformations,forexamplearisingfromaviewpointchange,areexplainedbythemotionofareferenceframeattachedtotheobjectandindependentoftheviewpoint.Afterdescribingthegeneralprinciple(sec.3.1),wein-1"

+87cab840df202609bfcfb5a9ee3293e61c7c85db,Vision based victim detection from unmanned aerial vehicles,"Vision Based Victim Detection from Unmanned Aerial Vehicles
+Mykhaylo Andriluka1, Paul Schnitzspan1, Johannes Meyer2, Stefan Kohlbrecher1,
+Karen Petersen1, Oskar von Stryk1, Stefan Roth1, and Bernt Schiele1,3
+Department of Computer Science, TU Darmstadt
+Department of Mechanical Engineering, TU Darmstadt
+MPI Informatics, Saarbr¨ucken"

+874082164d9ab9fced08b9890c009b91a2e846f1,Understanding Convolution for Semantic Segmentation,"Understanding Convolution for Semantic Segmentation
+Panqu Wang1, Pengfei Chen1, Ye Yuan2, Ding Liu3, Zehua Huang1, Xiaodi Hou1, Garrison Cottrell4
+TuSimple, 2Carnegie Mellon University, 3University of Illinois Urbana-Champaign, 4UC San Diego"

+87c2806f1fd20287f00b43dab07822ab13035169,Verfahren zur Analyse von Ähnlichkeit im Ortsbereich,"Matthias Fiedler
+Verfahren zur Analyse von Ähnlichkeit im Ortsbereich"

+87ad56e06d48fa9b30e2915473c488c1b4b7e6ae,Learn from experience: probabilistic prediction of perception performance to avoid failure,"Article
+Learn from experience: probabilistic
+prediction of perception performance to
+void failure
+The International Journal of
+Robotics Research
+© The Author(s) 2017
+Reprints and permissions:
+sagepub.co.uk/journalsPermissions.nav
+DOI: 10.1177/0278364917730603
+journals.sagepub.com/home/ijr
+Corina Gur˘au1, Dushyant Rao1, Chi Hay Tong2, and Ingmar Posner1"

+8765f22fbcdcf610a08b01db01edc4b8cc67d082,Probability Models for Open Set Recognition,"for  all  other  uses,
+© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be
+obtained
+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.
+in  any  current  or
+future  media,
+Pre-print of article that will appear in T-PAMI."

+8796f2d54afb0e5c924101f54d469a1d54d5775d,Illumination Invariant Face Recognition Using Fuzzy LDA and FFNN,"Journal of Signal and Information Processing, 2012, 3, 45-50
+http://dx.doi.org/10.4236/jsip.2012.31007 Published Online February 2012 (http://www.SciRP.org/journal/jsip)
+Illumination Invariant Face Recognition Using Fuzzy LDA
+nd FFNN
+Behzad Bozorgtabar, Hamed Azami, Farzad Noorian
+School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran.
+Email:
+Received October 20th, 2011; revised November 24th, 2011; accepted December 10th, 2011"

+87f285782d755eb85d8922840e67ed9602cfd6b9,Incorporating Boltzmann Machine Priors for Semantic Labeling in Images and Videos,"INCORPORATING BOLTZMANN MACHINE PRIORS
+FOR SEMANTIC LABELING IN IMAGES AND VIDEOS
+A Dissertation Presented
+ANDREW KAE
+Submitted to the Graduate School of the
+University of Massachusetts Amherst in partial fulfillment
+of the requirements for the degree of
+DOCTOR OF PHILOSOPHY
+May 2014
+Computer Science"

+871f5f1114949e3ddb1bca0982086cc806ce84a8,Discriminative learning of apparel features,"Discriminative Learning of Apparel Features
+Rasmus Rothe1, Marko Ristin1, Matthias Dantone1, and Luc Van Gool1,2
+Computer Vision Laboratory, D-ITET, ETH Z¨urich, Switzerland
+ESAT - PSI / IBBT, K.U. Leuven, Belgium"

+8722ab37a03336f832e4098224cb63cd02cdfe0a,Face recognition with 3 D face asymmetry,"Face recognition with 3D face asymmetry
+Janusz Bobulski
+Czestochowa University of Technology
+Institute of Computer and Information Sciences
+Dabrowskiego 73, 42-200, Czestochowa, Poland
+Summary. Using of 3D images for the identification was in a field of the interest
+of many researchers which developed a few methods offering good results. However,
+there are few techniques exploiting the 3D asymmetry amongst these methods. We
+propose fast algorithm for rough extraction face asymmetry that is used to 3D
+face recognition with hidden Markov models. This paper presents conception of fast
+method for determine 3D face asymmetry. The research results indicate that face
+recognition with 3D face asymmetry may be used in biometrics systems.
+Introduction
+Biometrics systems use individual and unique biological features of person
+for user identification. The most popular features are: fingerprint, iris, voice,
+palm print, face image et al. Most of them are not accepted by users, because
+they feel under surveillance or as criminals. Others, in turn, are characterized
+y problems with the acquisition of biometric pattern and require closeness
+to the reader. Among the biometric methods popular technique is to identify
+people on the basis of the face image, the advantage is the ease of obtaining"

+87bee0e68dfc86b714f0107860d600fffdaf7996,Automated 3D Face Reconstruction from Multiple Images Using Quality Measures,"Automated 3D Face Reconstruction from Multiple Images
+using Quality Measures
+Marcel Piotraschke and Volker Blanz
+Institute for Vision and Graphics, University of Siegen, Germany"

+878f70f6abb83f5158ca0bacfc2bacd49b1886b1,Aligning Artificial Neural Networks to the Brain Yields Shallow Recurrent Architec- Tures,"Under review as a conference paper at ICLR 2019
+ALIGNING ARTIFICIAL NEURAL NETWORKS TO THE
+BRAIN YIELDS SHALLOW RECURRENT ARCHITEC-
+TURES
+Anonymous authors
+Paper under double-blind review"

+87da8bd9eb2fff2d77809c8bee3bed8c93cb5b4b,A Generative Model For Zero Shot Learning Using Conditional Variational Autoencoders,"A Generative Model For Zero Shot Learning
+Using Conditional Variational Autoencoders
+Ashish Mishra1 , Shiva Krishna Reddy1, Anurag Mittal, and Hema A Murthy
+Indian Institute of Technology Madras"

+878169be6e2c87df2d8a1266e9e37de63b524ae7,Image interpretation above and below the object level.,"CBMM Memo No. 089
+May 10, 2018
+Image interpretation above and below the object level
+Guy Ben-Yosef, Shimon Ullman"

+87363751b8e3d51a002dea6d32df553ee5315cb7,Fine-grained sketch-based image retrieval: The role of part-aware attributes,"Fine-Grained Sketch-Based Image Retrieval: The Role of Part-Aware Attributes
+Ke Li1&2
+Kaiyue Pang1&2
+Yi-Zhe Song2
+Timothy Hospedales2
+Honggang Zhang1
+School of Electronic Engineering and Computer Science Queen Mary University of London.
+Beijing University of Posts and Telecommunications.
+Yichuan Hu1"

+877d083b2a3a75cc1bb25f770a9c5684bf5f6f44,Learning to Hash with Binary Reconstructive Embeddings,"Learning to Hash with Binary Reconstructive
+Embeddings
+Brian Kulis and Trevor Darrell
+UC Berkeley EECS and ICSI
+Berkeley, CA"

+87bba3f4292727091027b7888b5d8f364425344d,End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners,"End-to-End Learning of Driving Models with
+Surround-View Cameras and Route Planners
+Simon Hecker1, Dengxin Dai1, and Luc Van Gool1,2
+ETH Zurich, Zurich, Switzerland
+KU Leuven, Leuven, Belgium"

+877aff9bd05de7e9d82587b0e6f1cda28fd33171,Long-Term Visual Localization Using Semantically Segmented Images,"Long-term Visual Localization using Semantically Segmented Images
+Erik Stenborg1,2 Carl Toft1 and Lars Hammarstrand1"

+878301453e3d5cb1a1f7828002ea00f59cbeab06,Faceness-Net: Face Detection through Deep Facial Part Responses,"Faceness-Net: Face Detection through
+Deep Facial Part Responses
+Shuo Yang, Ping Luo, Chen Change Loy, Senior Member, IEEE and Xiaoou Tang, Fellow, IEEE"

+87e592ee1a7e2d34e6b115da08700a1ae02e9355,Deep Pictorial Gaze Estimation,"Deep Pictorial Gaze Estimation
+Seonwook Park, Adrian Spurr, and Otmar Hilliges
+AIT Lab, Department of Computer Science, ETH Zurich"

+87bdafbcf3569c06eef4a397beffc451f5101f94,Facial expression: An under-utilised tool for the assessment of welfare in mammals.,"published February 8, 2017
+Review article
+Facial expression: An under-utilised tool for
+the assessment of welfare in mammals1
+Kris A. Descovich1,2,3, Jennifer Wathan4, Matthew C. Leach5, Hannah M. Buchanan-Smith1,
+Paul Flecknell6, David Farningham7 and Sarah-Jane Vick1
+Psychology, Faculty of Natural Sciences, University of Stirling; 2Environmental and Animal Sciences, Unitec Institute of
+Technology; 3Centre for Animal Welfare and Ethics, University of Queensland; 4School of Psychology, University of Sussex,
+United Kingdom; 5School of Agriculture, Food & Rural Development, University of Newcastle; 6Comparative Biology
+Centre, University of Newcastle; 7Centre for Macaques, Medical Research Council
+Summary
+Animal welfare is a key issue for industries that use or impact upon animals. The accurate identification of welfare
+states is particularly relevant to the field of bioscience, where the 3Rs framework encourages refinement of
+experimental procedures involving animal models. The assessment and improvement of welfare states in animals
+is reliant on reliable and valid measurement tools. Behavioural measures (activity, attention, posture and
+vocalisation) are frequently used because they are immediate and non-invasive, however no single indicator can
+yield a complete picture of the internal state of an animal. Facial expressions are extensively studied in humans
+s a measure of psychological and emotional experiences but are infrequently used in animal studies, with the
+exception of emerging research on pain behaviour. In this review, we discuss current evidence for facial
+representations of underlying affective states, and how communicative or functional expressions can be useful"

+8765f312e35bba0650aa769b59da7e8fac9e98aa,A Cognitively-Motivated Framework for Partial Face Recognition in Unconstrained Scenarios,"Sensors 2015, 15, 1903-1924; doi:10.3390/s150101903
+OPEN ACCESS
+sensors
+ISSN 1424-8220
+www.mdpi.com/journal/sensors
+Article
+A Cognitively-Motivated Framework for Partial Face
+Recognition in Unconstrained Scenarios
+João C. Monteiro * and Jaime S. Cardoso
+INESC TEC and Faculdade de Engenharia, Universidade do Porto, Campus da FEUP,
+Rua Dr. Roberto Frias, n 378, 4200-465 Porto, Portugal; E-Mail:
+* Author to whom correspondence should be addressed; E-Mail:
+Tel.: +351-22-209-4299.
+Academic Editor: Vittorio M.N. Passaro
+Received: 24 November 2014 / Accepted: 7 January 2015 / Published: 16 January 2015"

+87dd3fd36bccbe1d5f1484ac05f1848b51c6eab5,Spatio-temporal Maximum Average Correlation Height Templates in Action Recognition and Video Summarization,"SPATIO-TEMPORAL MAXIMUM AVERAGE CORRELATION
+HEIGHT TEMPLATES IN ACTION RECOGNITION AND VIDEO
+SUMMARIZATION
+MIKEL RODRIGUEZ
+B.A. Earlham College, Richmond Indiana
+M.S. University of Central Florida
+A dissertation submitted in partial fulfillment of the requirements
+for the degree of Doctor of Philosophy
+in the School of Electrical Engineering and Computer Science
+in the College of Engineering and Computer Science
+t the University of Central Florida
+Orlando, Florida
+Summer Term
+Major Professor: Mubarak Shah"

+87c6ba55b0f817de4504e39dbb201842ae102c9f,Three Dimensional Face Recognition Using Iso-Geodesic and Iso-Depth Curves,"Three Dimensional Face Recognition Using Iso-Geodesic and Iso-Depth
+Curves
+Sina Jahanbin, Hyohoon Choi, Yang Liu, Alan C. Bovik"

+87bb183d8be0c2b4cfceb9ee158fee4bbf3e19fd,Craniofacial Image Analysis,"Craniofacial Image Analysis
+Ezgi Mercan, Indriyati Atmosukarto, Jia Wu, Shu Liang and Linda G. Shapiro"

+87f0a779ce4e060e3e076df3cc651e0f3f01b2ae,Bimodal Biometric Person Identification System Under Perturbations,"Bimodal Biometric Person Identification System
+Under Perturbations
+Miguel Carrasco1, Luis Pizarro2, and Domingo Mery1
+Pontificia Universidad Cat´olica de Chile
+Av. Vicu˜na Mackenna 4860(143), Santiago, Chile
+Mathematical Image Analysis Group
+Faculty of Mathematics and Computer Science
+Saarland University, Bldg. E11, 66041 Saarbr¨ucken, Germany"

+8064d7a28c763ec37a840450d729f23428ad8f8b,Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms,"Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms
+{tag}                                                 {/tag}
+International Journal of Computer Applications
+Foundation of Computer Science (FCS), NY, USA
+Volume 134
+Number 7
+Year of Publication: 2016
+Authors:
+Filani Araoluwa S., Adetunmbi Adebayo O.
+10.5120/ijca2016907932
+{bibtex}2016907932.bib{/bibtex}"

+80265d7c9fe6a948dd8c975bd4d696fb7ba099c9,Face Recognition Based on Human Visual Perception Theories and Unsupervised ANN,"Face Recognition Based on
+Human Visual Perception Theories and
+Unsupervised ANN
+Mario I. Chacon M. and Pablo Rivas P.
+Chihuahua Institute of Technology
+Mexico
+. Introduction
+The  face  recognition  problem  has  been  faced  for  more  than  30  years.  Although  a  lot  of
+research has been done, much more research is and will be required in order to end up with
+robust  face  recognition  system  with  a  potential  close  to  human  performance.  Currently
+face  recognition  systems,  FRS,  report  high  performance  levels,  however  achievement  of
+00% of correct recognition is still a challenge. Even more, if the FRS must work on non-
+ooperative  environment  its  performance  may  decrease  dramatically.  Non-cooperative
+environments  are  characterized  by  changes  on;  pose,  illumination,  facial  expression.
+Therefore  FRS  for  non-cooperative  environment  represents  an  attractive  challenge  to
+researchers working on the face recognition area.
+Most  of  the  work  presented  in  the  literature  dealing  with  the  face  recognition  problem
+follows an engineering approach that in some cases do not incorporate information from a
+psychological or  neuroscience  perspective. It  is  our  interest  in  this  material,  to  show  how
+information from the psychological and neuroscience areas may contribute in the solution of"

+809e25da311366bfd684228e16184737d948eef6,Supplementary material for : Learning Finer-class Networks for Universal Representations,"GIRARD ET AL.: SUPPLEMENTARY FOR FINER-CLASS NETWORKS
+Supplementary material for: Learning
+Finer-class Networks for Universal
+Representations
+Julien Girard12
+Youssef Tamaazousti123
+Hervé Le Borgne2
+Céline Hudelot3
+Both authors contributed equally.
+CEA LIST
+Vision Laboratory,
+Gif-sur-Yvette, France.
+CentraleSupélec,
+MICS Laboratory,
+Châtenay-Malabry, France."

+8006219efb6ab76754616b0e8b7778dcfb46603d,Contributions to large-scale learning for image classification. (Contributions à l'apprentissage grande échelle pour la classification d'images),"CONTRIBUTIONSTOLARGE-SCALELEARNINGFORIMAGECLASSIFICATIONZeynepAkataPhDThesisl’´EcoleDoctoraleMath´ematiques,SciencesetTechnologiesdel’Information,InformatiquedeGrenoble"

+8010636454316faf1a09202542af040ffd04fefa,"Performance Parameter Analysis of Face Recognition Based On Fuzzy C-Means Clustering , Shape and Corner Detection","Minj Salen Kujur et al Int. Journal of Engineering Research and Applications              www.ijera.com
+ISSN : 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.515-520
+RESEARCH ARTICLE                                                                               OPEN ACCESS
+Performance Parameter Analysis of Face Recognition Based On
+Fuzzy C-Means Clustering, Shape and Corner Detection
+Minj Salen Kujur1, Prof. Prashant Jain2
+Department of Electronics & Communication Engineering college Jabalpur"

+804b4c1b553d9d7bae70d55bf8767c603c1a09e3,Subspace clustering with a learned dimensionality reduction projection,"978-1-4799-9988-0/16/$31.00 ©2016 IEEE
+ICASSP 2016"

+800cbbe16be0f7cb921842d54967c9a94eaa2a65,Multimodal Recognition of Emotions Multimodal Recognition of Emotions,"MULTIMODAL RECOGNITION OF
+EMOTIONS"

+80135ed7e34ac1dcc7f858f880edc699a920bf53,Efficient Action and Event Recognition in Videos Using Extreme Learning Machines,"EFFICIENT ACTION AND EVENT RECOGNITION IN VIDEOS USING
+EXTREME LEARNING MACHINES
+G¨ul Varol
+B.S., Computer Engineering, Bo˘gazi¸ci University, 2013
+Submitted to the Institute for Graduate Studies in
+Science and Engineering in partial fulfillment of
+the requirements for the degree of
+Master of Science
+Graduate Program in Computer Engineering
+Bo˘gazi¸ci University"

+8032a89ba67e2b35e2789983426842f688c49a93,Matching-Constrained Active Contours,"Matching-Constrained Active Contours
+Junyan Wang*, Member, IEEE, Kap Luk Chan, Member, IEEE"

+801a80f7a18fccb2e8068996a73aee2cf04ae460,Optimal transport maps for distribution preserving operations on latent spaces of Generative Models,"OPTIMAL TRANSPORT MAPS FOR DISTRIBUTION PRE-
+SERVING OPERATIONS ON LATENT SPACES OF GENER-
+ATIVE MODELS
+Eirikur Agustsson
+D-ITET, ETH Zurich
+Switzerland
+Alexander Sage
+D-ITET, ETH Zurich
+Switzerland
+Radu Timofte
+D-ITET, ETH Zurich
+Merantix GmbH
+Luc Van Gool
+D-ITET, ETH Zurich
+ESAT, KU Leuven"

+807913b776bc5039cd3f195841419e55979ec7c7,Recreation of spontaneous non-verbal behavior on a synthetic agent EVA,"Roboti c.s. d.o.o, 2Faculty of Electrical Engineering and Computer Science, University of Maribor
+IZIDOR MLAKAR, 2MATEJ ROJC
+Recreation of spontaneous non-verbal behavior on a synthetic agent
+Tržaška cesta 23, 2Smetanova ulica 17
+SLOVENIA
+systematic
+sequencing"

+8031dd2c6583d8681fdd85bdae4371c7c745713f,Generative adversarial models for people attribute recognition in surveillance,"Generative Adversarial Models for People Attribute Recognition in Surveillance
+Matteo Fabbri
+Simone Calderara
+Rita Cucchiara
+University of Modena and Reggio Emilia
+via Vivarelli 10 Modena 41125 Italy"

+803c92a3f0815dbf97e30c4ee9450fd005586e1a,Max-Mahalanobis Linear Discriminant Analysis Networks,"Max-Mahalanobis Linear Discriminant Analysis Networks
+Tianyu Pang 1 Chao Du 1 Jun Zhu 1"

+802ecaabffbece0dc2c31d44b693967c683fc5ff,Faster RER-CNN: application to the detection of vehicles in aerial images,"Faster RER-CNN: application to the detection of
+vehicles in aerial images
+Jean Ogier du Terrail(1,2), Fr´ed´eric Jurie(1)
+(1)Normandie Univ, UNICAEN, ENSICAEN, CNRS
+(2)Safran Electronics and Defense
+September 21, 2018"

+801b0ae343a11a15fd7abc5720831afea6f0a61d,Similarity Learning with Listwise Ranking for Person Re-Identification,"SIMILARITY LEARNING WITH LISTWISE
+RANKING FOR PERSON RE-IDENTIFICATION
+Yiqiang Chen, Stefan Duffner, Andrei Stoian, Jean-Yves Dufour, Atilla
+Baskurt
+To cite this version:
+Yiqiang Chen, Stefan Duffner, Andrei Stoian, Jean-Yves Dufour, Atilla Baskurt. SIMILARITY
+LEARNING WITH LISTWISE RANKING FOR PERSON RE-IDENTIFICATION. International
+onference on image processing, Oct 2018, Athenes, Greece. <hal-01895355>
+HAL Id: hal-01895355
+https://hal.archives-ouvertes.fr/hal-01895355
+Submitted on 15 Oct 2018
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,"

+805c77bd351fc98d6acbee68b73af915c5cb6776,Overview of the ImageCLEF 2012 Scalable Web Image Annotation Task,"Overview of the ImageCLEF 2012 Scalable Web
+Image Annotation Task
+Mauricio Villegas and Roberto Paredes
+Institut Tecnol`ogic d’Inform`atica
+Universitat Polit`ecnica de Val`encia
+Cam´ı de Vera s/n, 46022 Val`encia, Spain"

+80c8d143e7f61761f39baec5b6dfb8faeb814be9,Local Directional Pattern based Fuzzy Co- occurrence Matrix Features for Face recognition,"Local Directional Pattern based Fuzzy Co-
+occurrence Matrix Features for Face recognition
+Dr. P Chandra Sekhar Reddy
+Professor, CSE Dept.
+Gokaraju Rangaraju Institute of Engineering and Technology, Hyd."

+80345fbb6bb6bcc5ab1a7adcc7979a0262b8a923,Soft Biometrics for a Socially Assistive Robotic Platform,"Research Article
+Pierluigi Carcagnì*, Dario Cazzato, Marco Del Coco, Pier Luigi Mazzeo, Marco Leo, and
+Cosimo Distante
+Soft Biometrics for a Socially Assistive Robotic
+Platform
+Open Access"

+80a6bb337b8fdc17bffb8038f3b1467d01204375,Subspace LDA Methods for Solving the Small Sample Size Problem in Face Recognition,"Proceedings of the International Conference on Computer and Information Science and Technology
+Ottawa, Ontario, Canada, May 11 – 12, 2015
+Paper No. 126
+Subspace LDA Methods for Solving the Small Sample Size
+Problem in Face Recognition
+Ching-Ting Huang, Chaur-Chin Chen
+Department of Computer Science/National Tsing Hua University
+01 KwanFu Rd., Sec. 2, Hsinchu, Taiwan"

+80510c47d7fad872b18d865f3957568dc512780c,Occlusion Invariant 3D Face Recognition with UMB – DB and BOSPHORUS Databases,"International Journal of Computer Applications (0975 – 8887)
+National Conference on Advances in Computing (NCAC 2015)
+Occlusion Invariant 3D Face Recognition with UMB – DB
+nd BOSPHORUS Databases
+G.E.S. R.H. Sapat College of Engineering, Nashik
+G.E.S. R.H. Sapat College of Engineering, Nashik
+H. Y. Patil, PhD
+Assistant Professor (Dept. of E&TC),
+Maharashtra
+Charushila R. Singh
+M.E. student (Dept. of E&TC),
+Maharashtra"

+80c8f02c945c1dbbec31983164c1e4e0b742c44a,Cohort of LSTM and lexicon verification for handwriting recognition with gigantic lexicon,"Cohort of LSTM and lexicon verification for
+handwriting recognition with gigantic lexicon
+Bruno STUNERa,∗, Cl´ement CHATELAINa, Thierry PAQUETa
+Normandie Univ, UNIROUEN, UNIHAVRE, INSA Rouen, LITIS, 76000 Rouen, France"

+80097a879fceff2a9a955bf7613b0d3bfa68dc23,Active Self-Paced Learning for Cost-Effective and Progressive Face Identification,"Active Self-Paced Learning for Cost-Effective and
+Progressive Face Identification
+Liang Lin, Keze Wang, Deyu Meng, Wangmeng Zuo, and Lei Zhang"

+748260579dc2fb789335a88ae3f63c114795d047,Action and Interaction Recognition in First-Person Videos,"Action and Interaction Recognition in First-person videos
+Sanath Narayan
+Dept. of Electrical Engg.,
+IISc, Bangalore
+Mohan S. Kankanhalli
+School of Computing,
+NUS, Singapore
+Kalpathi R. Ramakrishnan
+Dept. of Electrical Engg.,
+IISc, Bangalore"

+7484911e00afec5c08e7b83f3a1259d60035d77f,In Your Face: Startle to Emotional Facial Expressions Depends on Face Direction,"Article
+In Your Face: Startle to
+Emotional Facial Expressions
+Depends on Face Direction
+i-Perception
+January-February 2017, 1–13
+! The Author(s) 2017
+DOI: 10.1177/2041669517694396
+journals.sagepub.com/home/ipe
+Ole A˚ sli, Henriette Michalsen and Morten Øvervoll
+Department of Psychology, University of Tromsø—The Arctic University
+of Norway, Tromsø, Norway"

+747e9b36c5a1b0b8a9572da0ab416ddd1e1d2d33,Data Augmentation for Visual Question Answering,"Proceedings of The 10th International Natural Language Generation conference, pages 198–202,
+Santiago de Compostela, Spain, September 4-7 2017. c(cid:13)2017 Association for Computational Linguistics"

+74408cfd748ad5553cba8ab64e5f83da14875ae8,Facial Expressions Tracking and Recognition: Database Protocols for Systems Validation and Evaluation,"Facial Expressions Tracking and Recognition: Database Protocols for Systems Validation
+nd Evaluation"

+74a1e28dd2c03076124282482074e10bb02bc643,Coulomb Gans: Provably Optimal Nash Equi-,"Under review as a conference paper at ICLR 2018
+COULOMB GANS: PROVABLY OPTIMAL NASH EQUI-
+LIBRIA VIA POTENTIAL FIELDS
+Anonymous authors
+Paper under double-blind review"

+74671fd8dd510db4abdcb93864fb5d5f77c878a0,Real-Time Viola-Jones Face Detection in a Web Browser,"Real-Time Viola-Jones
+Face Detection in a
+Web Browser
+Theo Ephraim - Tristan Himmelman - Kaleem Siddiqi
+McGill University - School of Computer Science
+Centre For Intelligent Machines (CIM)
+http://flashfacedetection.com"

+74dbe6e0486e417a108923295c80551b6d759dbe,An HMM based Model for Prediction of Emotional Composition of a Facial Expression using both Significant and Insignificant Action Units and Associated Gender Differences,"International Journal of Computer Applications (0975 – 8887)
+Volume 45– No.11, May 2012
+An HMM based Model for Prediction of Emotional
+Composition of a Facial Expression using both
+Significant and Insignificant Action Units and
+Associated Gender Differences
+Suvashis Das
+Koichi Yamada
+Department of Management and Information
+Department of Management and Information
+Systems Science
+603-1 Kamitomioka, Nagaoka
+Niigata, Japan
+Systems Science
+603-1 Kamitomioka, Nagaoka
+Niigata, Japan"

+74032e526edb45bc6c79cb5576e69486e72a316d,Animated 3D Human Models for Use in Person Recognition Experiments,"Animated 3D Human Models for Use in Person Recognition Experiments
+Jean M. Vettel1,2,3, Justin Kantner1,2, Matthew Jaswa4, Michael Miller2
+U.S. Army Research Laboratory, 2University of California, Santa Barbara, 3University of
+Pennsylvania, 4DCS Corporation
+Jean M Vettel
+U.S. Army Research Laboratory
+59 Mulberry Point Road
+Aberdeen Proving Ground, MD 21005
+10.278.7431"

+747c25bff37b96def96dc039cc13f8a7f42dbbc7,EmoNets: Multimodal deep learning approaches for emotion recognition in video,"EmoNets: Multimodal deep learning approaches for emotion
+recognition in video
+Samira Ebrahimi Kahou · Xavier Bouthillier · Pascal Lamblin · Caglar Gulcehre ·
+Vincent Michalski · Kishore Konda · S´ebastien Jean · Pierre Froumenty · Yann
+Dauphin · Nicolas Boulanger-Lewandowski · Raul Chandias Ferrari · Mehdi Mirza ·
+David Warde-Farley · Aaron Courville · Pascal Vincent · Roland Memisevic ·
+Christopher Pal · Yoshua Bengio"

+74e6110466306f41f703d84bb3d136ba414b1998,Face Recognition System under Varying Lighting Conditions,"IOSR Journal of Computer Engineering (IOSR-JCE)
+e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 14, Issue 3 (Sep. - Oct. 2013), PP 79-88
+www.iosrjournals.org
+Face Recognition System under Varying Lighting Conditions
+P.Kalaiselvi1, S.Nithya2
+(Asst. Professor, Department of ECE, NSN College of Engineering and Technology, Karur, Tamilnadu, India)
+(Asst. Professor, Department of ECE, NSN College of Engineering and Technology, Karur, Tamilnadu, India)"

+744fa8062d0ae1a11b79592f0cd3fef133807a03,Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification.,"Aalborg Universitet
+Deep Pain
+Rodriguez, Pau; Cucurull, Guillem; Gonzàlez, Jordi; M. Gonfaus, Josep ; Nasrollahi, Kamal;
+Moeslund, Thomas B.; Xavier Roca, F.
+Published in:
+I E E E Transactions on Cybernetics
+DOI (link to publication from Publisher):
+0.1109/TCYB.2017.2662199
+Publication date:
+Document Version
+Accepted author manuscript, peer reviewed version
+Link to publication from Aalborg University
+Citation for published version (APA):
+Rodriguez, P., Cucurull, G., Gonzàlez, J., M. Gonfaus, J., Nasrollahi, K., Moeslund, T. B., & Xavier Roca, F.
+(2017). Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification. I E E E
+Transactions on Cybernetics, 1-11. DOI: 10.1109/TCYB.2017.2662199
+General rights
+Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners
+nd it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.
+? Users may download and print one copy of any publication from the public portal for the purpose of private study or research."

+74f21f2edfa985280be63f8a01aa00541f3a5625,People Groping by Spatio-Temporal Features of Trajectories,"4-13
+MVA2013 IAPR International Conference on Machine Vision Applications, May 20-23, 2013, Kyoto, JAPAN
+People Groping by Spatio-Temporal Features of Trajectories
+Asami Okada†, Yusuke Moriguchi†, Norimichi Ukita†,
+nd Norihiro Hagita†‡
+Nara Institute od Science and Technology
+Advanced Telecommunications Research Institute International
+e-mail"

+747b15ecd9a9e28bbd733527c59e5dd0aa5de7a1,Learning Visual Features from Large Weakly Supervised Data,"Learning Visual Features from Large Weakly Supervised Data
+Armand Joulin∗
+Laurens van der Maaten∗
+Allan Jabri
+Nicolas Vasilache
+Facebook AI Research
+770 Broadway, New York NY 10003"

+743e582c3e70c6ec07094887ce8dae7248b970ad,Face Recognition based on Deep Neural Network,"International Journal of Signal Processing, Image Processing and Pattern Recognition
+Vol.8, No.10 (2015), pp.29-38
+http://dx.doi.org/10.14257/ijsip.2015.8.10.04
+Face Recognition based on Deep Neural Network
+Li Xinhua,Yu Qian
+Shandong Women’s University"

+74b0095944c6e29837c208307a67116ebe1231c8,Manifold learning using Euclidean k-nearest neighbor graphs [image processing examples],"be
independentandidenticallydis-tributed(i.i.d.)randomvectorswithvaluesinacompactsubsetof.The(-)nearestneighborofinisgivenby!""$%&(*,.%13575where575istheusualEuclidean(<=)distanceinbe-tweenvectorand.Forgeneralinteger?,the-nearestneighborofapointisdefinedinasimilarway.The-NNgraphputsanedgebetweeneachpointinandits-nearestneighbors.LetBCDBCDFHbethesetof-nearestneighborsofin.Thetotaledgelengthofthe-NNgraphisdefinedas:<JDCFHMN
+M%&QRS1575J(1)whereVWXisapowerweightingconstant.2.1.ConvergencetoExtrinsicZ-EntropyThe-NNedgelengthliesinthelargeclassoffunctionalscalledcontinuousquasi-additiveEuclideanfunctionals[7].Othergraphsinthisclassincludetheminimalspanningtree,theminimalmatch-inggraphorthetravelingsalesmantouramongothers.Thesefunc-tionalshaveremarkableasymptoticbehavioras
increases:Theorem1([7,Theorem8.3])Let
+bei.i.d.randomvectorswithvaluesinacompactsubsetofandLebesgueden-sity\.Let]?_,aVb]anddefineZF]7VHf].Then,withprobability(w.p.)gh""jk<JDCFH
moDJDCp\mFrHtr(2)whereoDJDCisaconstantindependentof\.Furthermore,themeanlengthuv<JDCFHwf
mconvergestothesamelimit.Thequantitythatdeterminesthelimit(2)inTheorem1istheex-trinsicR´enyiZ-entropyofthemultivariateLebesguedensity\:yz{mF\H7Zg!pz{\mFrHtr(3)III - 9880-7803-8484-9/04/$20.00 ©2004 IEEEICASSP 2004(cid:224)"

+74156a11c2997517061df5629be78428e1f09cbd,"Preparatory coordination of head, eyes and hands: Experimental study at intersections","Cancún Center, Cancún, México, December 4-8, 2016
+978-1-5090-4846-5/16/$31.00 ©2016 IEEE"

+74cbb3acfc401a397c9a4e151ff8e3ecf5ea76d0,Egocentric Video Description based on Temporally-Linked Sequences,"Egocentric Video Description based on Temporally-Linked Sequences
+Marc Bola˜nosa,b, ´Alvaro Perisc, Francisco Casacubertac, Sergi Solera, Petia Radevaa,b
+Universitat de Barcelona, Barcelona, Spain
+Computer Vision Center, Bellaterra, Spain
+PRHLT Research Center, Universitat Polit`ecnica de Val`encia, Val`encia, Spain"

+74410df341f44f5c915d97725ce396a862d44a7b,Shadow extraction and application in pedestrian detection,"Wang and Yagi EURASIP Journal on Image and Video Processing 2014, 2014:12
+http://jivp.eurasipjournals.com/content/2014/1/12
+RESEARCH
+Open Access
+Shadow extraction and application in
+pedestrian detection
+Junqiu Wang1* and Yasushi Yagi2"

+749d605dd12a4af58de1fae6f5ef5e65eb06540e,Multi-Task Video Captioning with Video and Entailment Generation,"Multi-Task Video Captioning with Video and Entailment Generation
+Ramakanth Pasunuru and Mohit Bansal
+UNC Chapel Hill
+{ram,"

+749382d19bfe9fb8d0c5e94d0c9b0a63ab531cb7,A Modular Framework to Detect and Analyze Faces for Audience Measurement Systems,"A Modular Framework to Detect and Analyze Faces for
+Audience Measurement Systems
+Andreas Ernst, Tobias Ruf, Christian Kueblbeck
+Fraunhofer Institute for Integrated Circuits IIS
+Department Electronic Imaging
+Am Wolfsmantel 33, 91058 Erlangen, Germany
+{andreas.ernst, tobias.ruf,"

+74c19438c78a136677a7cb9004c53684a4ae56ff,RESOUND: Towards Action Recognition Without Representation Bias,"RESOUND: Towards Action Recognition
+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."

+745ec003b7fbeb52aecd00c41ac889fcd4d88bcd,Guiding Intelligent Surveillance System by learning-by-synthesis gaze estimation,"Pattern Recognition Letters
+journal homepage: www.elsevier.com
+Guiding Intelligent Surveillance System by learning-by-synthesis gaze estimation
+Tongtong Zhaoa, Yuxiao Yana, Jinjia Penga, Zetian Mia, Xianping Fua,∗∗
+Information Science and Technology College, Dalian Maritime University, Dalian, China."

+74eae724ef197f2822fb7f3029c63014625ce1ca,Feature Extraction based on Local Directional Pattern with SVM Decision-level Fusion for Facial Expression Recognition,"International Journal of Bio-Science and Bio-Technology
+Vol. 5, No. 2, April, 2013
+Feature Extraction based on Local Directional Pattern with SVM
+Decision-level Fusion for Facial Expression Recognition
+Juxiang Zhou1, Tianwei Xu1,2 and Jianhou Gan1
+Key Laboratory of Education Informalization for Nationalities, Ministry of
+Education, Yunnan Normal University, Kunming, China
+College of Information, Yunnan Normal University, Kunming, China"

+744fe47157477235032f7bb3777800f9f2f45e52,"Progressive Growing of GANs for Improved Quality, Stability, and Variation","Published as a conference paper at ICLR 2018
+PROGRESSIVE GROWING OF GANS FOR IMPROVED
+QUALITY, STABILITY, AND VARIATION
+Tero Karras
+NVIDIA
+Samuli Laine
+NVIDIA
+Timo Aila
+NVIDIA
+Jaakko Lehtinen
+NVIDIA and Aalto University"

+74d4224989b5937ee6c97eec1955e64ab0699f57,Facial Emotional Classifier For Natural Interaction,"Electronic Letters on Computer Vision and Image Analysis 7(4):1-12, 2008
+Facial Emotional Classifier For Natural Interaction
+Isabelle Hupont, Eva Cerezo, Sandra Baldassarri
+Departamento de Informática e Ingeniería de Sistemas,
+Instituto de Investigación en Ingeniería de Aragón, Universidad de Zaragoza (Spain)
+Received 29th  November 2007,  Revised 26th February 2008,  Accepted 3rd June 2008
+{478953, ecerezo,"

+7480d8739eb7ab97c12c14e75658e5444b852e9f,MLBoost Revisited: A Faster Metric Learning Algorithm for Identity-Based Face Retrieval,"NEGREL ET AL.: REVISITED MLBOOST FOR FACE RETRIEVAL
+MLBoost Revisited: A Faster Metric
+Learning Algorithm for Identity-Based Face
+Retrieval
+Romain Negrel
+Alexis Lechervy
+Frederic Jurie
+Normandie Univ, UNICAEN,
+ENSICAEN, CNRS
+France"

+747ca08cbf258da8d2b89ba31f24bdb17d7132bb,Tall and skinny QR factorizations in MapReduce architectures,"Tall and Skinny QR factorizations
+in MapReduce architectures
+Paul G. Constantine
+Sandia National Laboratories∗
+Albuquerque, NM
+David F. Gleich
+Sandia National Laboratories∗
+Livermore, CA"

+7411761e789ccb1da80984472f5df5cb084e8ba3,Towards Scene Understanding with Detailed 3D Object Representations,"Towards Scene Understanding with Detailed 3D Object Representations
+M. Zeeshan Zia1, Michael Stark2, and Konrad Schindler1
+Photogrammetry and Remote Sensing, ETH Z¨urich, Switzerland
+Stanford University and Max Planck Institute for Informatics"

+74ba4ab407b90592ffdf884a20e10006d2223015,Partial Face Detection in the Mobile Domain,"Partial Face Detection in the Mobile Domain
+Upal Mahbub, Student Member, IEEE, Sayantan Sarkar, Student Member, IEEE,
+nd Rama Chellappa, Fellow, IEEE"

+7405ed035d1a4b9787b78e5566340a98fe4b63a0,Self-Expressive Decompositions for Matrix Approximation and Clustering,"Self-Expressive Decompositions for
+Matrix Approximation and Clustering
+Eva L. Dyer, Member, IEEE, Tom A. Goldstein, Member, IEEE, Raajen Patel, Student Member, IEEE,
+Konrad P. K¨ording, and Richard G. Baraniuk, Fellow, IEEE"

+744db9bd550bf5e109d44c2edabffec28c867b91,FX e-Makeup for Muscle Based Interaction,"FX e-Makeup for Muscle Based Interaction
+Katia Canepa Vega1, Abel Arrieta2, Felipe Esteves3, and Hugo Fuks1
+Department of Informatics, PUC-Rio, Rio de Janeiro, Brazil
+Department of Mechanical Engineering, PUC-Rio, Rio de Janeiro, Brazil
+Department of Administration, PUC-Rio, Rio de Janeiro, Brazil"

+74325f3d9aea3a810fe4eab8863d1a48c099de11,Regression-Based Image Alignment for General Object Categories,"Regression-Based Image Alignment
+for General Object Categories
+Hilton Bristow1 and Simon Lucey2
+Queensland University of Technology (QUT)
+Brisbane QLD 4000, Australia
+Carnegie Mellon University (CMU)
+Pittsburgh PA 15289, USA"

+7478c2351c75183527f258aecce6931be9c9d624,Periodic Variance Maximization using Generalized Eigenvalue Decomposition applied to Remote Photoplethysmography estimation,"Periodic Variance Maximization using Generalized Eigenvalue
+Decomposition applied to Remote Photoplethysmography estimation
+Richard Macwan, Serge Bobbia, Yannick Benezeth, Julien Dubois, Alamin Mansouri
+LE2I EA7508, Arts et M´etiers
+Univ. Bourgogne Franche-Comt´e
+{richard.macwan, serge.bobbia, yannick.benezeth, julien.dubois,"

+744d23991a2c48d146781405e299e9b3cc14b731,Aging Face Recognition: A Hierarchical Learning Model Based on Local Patterns Selection,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TIP.2016.2535284, IEEE
+Transactions on Image Processing
+Aging Face Recognition: A Hierarchical Learning
+Model Based on Local Patterns Selection
+Zhifeng Li, Senior Member, IEEE, Dihong Gong, Xuelong Li, Fellow, IEEE, and Dacheng Tao, Fellow, IEEE"

+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"

+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/
+Version: Accepted Version
+Proceedings Paper:
+Dai, Hang, Pears, Nicholas Edwin orcid.org/0000-0001-9513-5634, Smith, William Alfred
+Peter orcid.org/0000-0002-6047-0413 et al. (1 more author) (2018) Symmetric Shape
+Morphing for 3D Face and Head Modelling. In: The 13th IEEE Conference on Automatic
+Face and Gesture Recognition. IEEE .
+Reuse
+Items deposited in White Rose Research Online are protected by copyright, with all rights reserved unless
+indicated otherwise. They may be downloaded and/or printed for private study, or other acts as permitted by
+national copyright laws. The publisher or other rights holders may allow further reproduction and re-use of
+the full text version. This is indicated by the licence information on the White Rose Research Online record
+for the item.
+Takedown
+If you consider content in White Rose Research Online to be in breach of UK law, please notify us by
+emailing including the URL of the record and the reason for the withdrawal request.
+https://eprints.whiterose.ac.uk/"

+1ab7d8da096c418c0bf93de14d128eb008a92db4,Towards three-dimensional face recognition in the real Huibin,"Towards three-dimensional face recognition in the real
+Huibin Li
+To cite this version:
+Huibin Li. Towards three-dimensional face recognition in the real. Other. Ecole Centrale de
+Lyon, 2013. English. <NNT : 2013ECDL0037>. <tel-00998798>
+HAL Id: tel-00998798
+https://tel.archives-ouvertes.fr/tel-00998798
+Submitted on 2 Jun 2014
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destin´ee au d´epˆot et `a la diffusion de documents
+scientifiques de niveau recherche, publi´es ou non,
+´emanant des ´etablissements d’enseignement et de
+recherche fran¸cais ou ´etrangers, des laboratoires
+publics ou priv´es."

+1a7243913d9b8c6855b1eb3bb6566f2f1041d50a,Articulated clinician detection using 3D pictorial structures on RGB-D data,"Articulated Clinician Detection Using 3D Pictorial
+Structures on RGB-D Data
+Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin and Nicolas Padoy"

+1a878e4667fe55170252e3f41d38ddf85c87fcaf,Discriminative Machine Learning with Structure,"Discriminative Machine Learning with Structure
+Simon Lacoste-Julien
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2010-4
+http://www.eecs.berkeley.edu/Pubs/TechRpts/2010/EECS-2010-4.html
+January 12, 2010"

+1a03716411e72722f853b904a83d9c15a0d737a3,Using color texture sparsity for facial expression recognition,"Using Color Texture Sparsity for Facial Expression
+Recognition
+Seung Ho Lee, Hyungil Kim,
+Korea Advanced
+Department
+Institute
+of Electrical
+of Science
+of Korea
+Republic
+Daejeon,
+nd Y ong Man Ro
+Engineering
+nd Technology
+Department
+Engineering
+Konstantinos
+of Electrical
+University
+N. Plataniotis"

+1ae3a26a985fe525b23f080a9e1041ecff0509ad,A Comparative Study of Statistical Conversion of Face to Voice Based on Their Subjective Impressions,"Interspeech 2018
+-6 September 2018, Hyderabad
+0.21437/Interspeech.2018-2005"

+1a41831a3d7b0e0df688fb6d4f861176cef97136,A Biological Model of Object Recognition with Feature Learning,"massachusetts institute of technology — artificial intelligence laboratory
+A Biological Model of Object
+Recognition with Feature Learning
+Jennifer Louie
+AI Technical Report 2003-009
+CBCL Memo 227
+June 2003
+© 2 0 0 3   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"

+1a9e0bf9f7a9495bcdf1aeb214ccc9df9f2a9030,Challenges and Opportunities The Main Memory System : Challenges and Opportunities,"특집원고Ⅰ
+The Main Memory System: Challenges and Opportunities
+Carnegie Mellon University  Onur Mutlu･Justin Meza･Lavanya Subramanian
+The  memory  system  is  a  fundamental  performance  and
+energy  bottleneck  in  almost  all  computing  systems.  Recent
+system  design,  application,  and  technology  trends  that
+require more capacity, bandwidth, efficiency, and predictability
+out  of  the  memory  system  make  it  an  even  more  important
+system  bottleneck.  At  the  same  time,  DRAM  technology
+is  experiencing  difficult    technology  scaling  challenges
+that  make  the  maintenance  and  enhancement  of  its  capacity,
+energy-efficiency,  and  reliability  significantly  more  costly
+with  conventional  techniques.
+In  this  article,  after  describing  the  demands  and  challenges
+faced  by  the  memory  system,  we  examine  some  promising
+research  and  design  directions  to  overcome  challenges  posed
+y  memory  scaling.  Specifically,  we  describe  three  major
+new  research  challenges  and  solution  directions:  1)  enabling
+new  DRAM  architectures,  functions,  interfaces,  and  better
+integration  of  the  DRAM  and  the  rest  of  the  system  (an"

+1a6b2972506d7d85100552bee99ce2b267e30d41,Learning Optimal Embedded Cascades,"Learning Optimal Embedded Cascades
+Mohammad Javad Saberian and Nuno Vasconcelos, Senior Member, IEEE"

+1a3f7b9fc451b54110aaebae56c65413c620f6e2,Multilevel Linear Dimensionality Reduction for Data Analysis using Nearest-Neighbor Graphs,"Multilevel Linear Dimensionality Reduction for Data
+Analysis using Nearest-Neighbor Graphs∗
+Sophia Sakellaridi
+Department of Computer
+Science and Engineering
+University of Minnesota;
+Minneapolis, MN 55455
+Haw-ren Fang
+Department of Computer
+Science and Engineering
+University of Minnesota;
+Minneapolis, MN 55455
+Yousef Saad
+Department of Computer
+Science and Engineering
+University of Minnesota;
+Minneapolis, MN 55455"

+1ae19084d2cd53c70d7e44d419df32560e417fb9,The Canadian experience using the expanded criteria donor classification for allocating deceased donor kidneys for transplantation,"Young et al. Canadian Journal of Kidney Health and Disease  (2016) 3:15
+DOI 10.1186/s40697-016-0106-9
+Open Access
+O R I G I N AL R ES EA R C H AR TI C L E
+The Canadian experience using the
+expanded criteria donor classification for
+llocating deceased donor kidneys for
+transplantation
+Ann Young1, Stephanie N. Dixon2, Greg A. Knoll2,3, Amit X. Garg2,4, Charmaine E. Lok1,2,6, Ngan N. Lam5
+nd S. Joseph Kim1,2,6*"

+1a5151b4205ab27b1c76f98964debbfc11b124d5,Self Paced Deep Learning for Weakly Supervised Object Detection,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Self Paced Deep Learning for Weakly
+Supervised Object Detection
+Enver Sangineto†, Moin Nabi†, Dubravko Culibrk and Nicu Sebe,"

+1a515f0b852c2e93272677dbf6ecb05c7be0ea2e,Reduced serotonin receptor subtypes in a limbic and a neocortical region in autism.,"RESEARCH ARTICLE
+Reduced Serotonin Receptor Subtypes in a Limbic and a Neocortical
+Region in Autism
+Adrian Oblak, Terrell T. Gibbs, and Gene J. Blatt
+Autism is a behaviorally defined, neurological disorder with symptom onset before the age of 3. Abnormalities in
+social-emotional behaviors are a core deficit in autism, and are characterized by impaired reciprocal–social interaction,
+lack of facial expressions, and the inability to recognize familiar faces. The posterior cingulate cortex (PCC) and fusiform
+gyrus (FG) are two regions within an extensive limbic-cortical network that contribute to social-emotional behaviors.
+Evidence indicates that changes in brains of individuals with autism begin prenatally. Serotonin (5-HT) is one of the
+earliest expressed neurotransmitters, and plays an important role in synaptogenesis, neurite outgrowth, and neuronal
+migration. Abnormalities in 5-HT systems have been implicated in several psychiatric disorders, including autism, as
+evidenced by immunology, imaging, genetics, pharmacotherapy, and neuropathology. Although information is known
+regarding peripheral 5-HT in autism, there is emerging evidence that 5-HT systems in the central nervous system,
+including various 5-HT receptor subtypes and transporters, are affected in autism. The present study demonstrated
+significant reductions in 5-HT1A receptor-binding density in superficial and deep layers of the PCC and FG, and in the
+density of 5-HT2A receptors in superficial layers of the PCC and FG. A significant reduction in the density of serotonin
+transporters (5-HTT) was also found in the deep layers of the FG, but normal levels were demonstrated in both layers of
+the PCC and superficial layers of the FG. This study provides potential substrates for decreased 5-HT modulation/
+innervation in the autism brain, and implicate two 5-HT receptor subtypes as potential neuromarkers for novel or
+existing pharmacotherapies. Autism Res 2013, 6: 571–583. © 2013 International Society for Autism Research, Wiley"

+1a6c3c37c2e62b21ebc0f3533686dde4d0103b3f,Implementation of Partial Face Recognition using Directional Binary Code,"International Journal of Linguistics and Computational Applications (IJLCA)                          ISSN 2394-6385 (Print)
+Volume 4, Issue 1, January – March 2017                                                                                   ISSN 2394-6393 (Online)
+Implementation of Partial Face Recognition
+using Directional Binary Code
+N.Pavithra #1, A.Sivapriya*2, K.Hemalatha*3 , D.Lakshmi*4
+,2,3Final Year, Department of Computer Science and Engineering, PanimalarInstitute of Technology,
+Assistant Professor, Department of Computer Science and Engineering, PanimalarInstitute of Technology, Tamilnadu, India,
+faith
+is  proposed.  It
+face  alignment  and"

+1a3eee980a2252bb092666cf15dd1301fa84860e,PCA Gaussianization for image processing,"PCA GAUSSIANIZATION FOR IMAGE PROCESSING
+Valero Laparra, Gustavo Camps-Valls and Jes´us Malo
+Image Processing Laboratory (IPL), Universitat de Val`encia
+Catedr´atico A. Escardino - 46980 Paterna, Val`encia, Spain"

+1a382d4e436e3e4f3d735f6e34ba2bc61e30838e,Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection,

+1a8a2539cffba25ed9a7f2b869ebb737276ccee1,Pros and Cons of GAN Evaluation Measures,"Pros and Cons of GAN Evaluation Measures
+Ali Borji"

+1ad823bf77c691f1d2b572799f8a8c572d941118,Précis of “Towards The Deep Model : Understanding Visual Recognition Through Computational Models”,"implement
+the system.
+Précis of “Towards ​The Deep Model
+: Understanding Visual
+Recognition Through Computational Models”
+Panqu Wang
+Introduction
+Vision, due to its significance in surviving and socializing, is one of the most important and
+extensively studied sensory functions in the human brain. In order to fully understand visual
+information processing, or more specifically, visual recognition, David Marr proposed the
+Tri-level Hypothesis [29], in that three levels of the system should be studied: the computational
+goal of the system, the internal representation or the algorithm the system uses to achieve the
+goal, and the neural substrates that
+is well-known that visual
+recognition in the human brain is implemented by the ventral visual pathway [32], which
+receives visual information from the retina and goes through a layered structure including V1
+(also known as the primary visual cortex), V2, V4, before reaching the inferior temporal cortex
+(IT). The topographic mapping between the retina and the human visual cortex follows a
+log-polar transformation, in which the Cartesian coordinates of the retina are transformed to
+polar coordinates (polar angle and eccentricity) in the human visual cortex. From V1 to V4, each"

+1abf6491d1b0f6e8af137869a01843931996a562,ParseNet: Looking Wider to See Better,"ParseNet: Looking Wider to See Better
+Wei Liu
+UNC Chapel Hill
+Andrew Rabinovich
+MagicLeap Inc.
+Alexander C. Berg
+UNC Chapel Hill"

+1a031378cf1d2b9088a200d9715d87db8a1bf041,D Eep D Ictionary L Earning : S Ynergizing R E - Construction and C Lassification,"Workshop track - ICLR 2018
+DEEP DICTIONARY LEARNING: SYNERGIZING RE-
+CONSTRUCTION AND CLASSIFICATION
+Shahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim & Liyi Dai"

+1afd481036d57320bf52d784a22dcb07b1ca95e2,Automated Content Metadata Extraction Services Based on MPEG Standards,"The Computer Journal Advance Access published December 6, 2012
+© The Author 2012. Published by Oxford University Press on behalf of The British Computer Society. All rights reserved.
+For Permissions, please email:
+doi:10.1093/comjnl/bxs146
+Automated Content Metadata Extraction
+Services Based on MPEG Standards
+D.C. Gibbon∗, Z. Liu, A. Basso and B. Shahraray
+AT&T Labs Research, Middletown, NJ, USA
+Corresponding author:
+This paper is concerned with the generation, acquisition, standardized representation and transport
+of video metadata. The use of MPEG standards in the design and development of interoperable
+media architectures and web services is discussed. A high-level discussion of several algorithms
+for metadata extraction is presented. Some architectural and algorithmic issues encountered when
+designing services for real-time processing of video streams, as opposed to traditional offline media
+processing, are addressed. A prototype real-time video analysis system for generating MPEG-7
+Audiovisual Description Profile from MPEG-2 transport stream encapsulated video is presented.
+Such a capability can enable a range of new services such as content-based personalization of live
+roadcasts given that the MPEG-7 based data models fit in well with specifications for advanced
+television services such as TV-Anytime andAlliance for Telecommunications Industry Solutions IPTV
+Interoperability Forum."

+1a7e385d2aa041ca8931784fb7664e9905194565,Sentiment Analysis Using Social Multimedia,"Chapter 2
+Sentiment Analysis Using Social
+Multimedia
+Jianbo Yuan, Quanzeng You and Jiebo Luo"

+1ad88221f308bf9f36775650f880f32d91ce929a,Learning a Recurrent Residual Fusion Network for Multimodal Matching,"Learning a Recurrent Residual Fusion Network for Multimodal Matching
+Yu Liu
+Yanming Guo
+Erwin M. Bakker
+Michael S. Lew
+LIACS Media Lab, Leiden University, Leiden, The Netherlands
+{y.liu, y.guo, e.m.bakker,"

+1a0912bb76777469295bb2c059faee907e7f3258,Mask R-CNN,"Mask R-CNN
+Kaiming He Georgia Gkioxari
+Piotr Doll´ar Ross Girshick
+Facebook AI Research (FAIR)"

+1afe9919ddb2b245e21b610fa96037724bcdf648,SceneNet: A Perceptual Ontology for Scene Understanding,"SceneNet: A Perceptual Ontology for Scene
+Understanding
+Ilan Kadar and Ohad Ben-Shahar
+Ben-Gurion University of the Negev"

+1a9a192b700c080c7887e5862c1ec578012f9ed1,Discriminant Subspace Analysis for Face Recognition with Small Number of Training Samples,"IEEE TRANSACTIONS ON SYSTEM, MAN AND CYBERNETICS, PART B
+Discriminant Subspace Analysis for Face
+Recognition with Small Number of Training
+Samples
+Hui Kong, Xuchun Li, Matthew Turk, and Chandra Kambhamettu"

+1abdf07ce2fca11a26222dedd581b68b141af3f2,Face Recognition Aiding Historical Photographs Indexing Using a Two-Stage Training Scheme and an Enhanced Distance Measure,"Face Recognition Aiding Historical Photographs Indexing
+Using a Two-stage Training Scheme and an Enhanced Distance Measure
+Ana Paula Brand˜ao Lopes1,2, Camillo Jorge Santos Oliveira1,3, Arnaldo de Albuquerque Ara´ujo1
+Computer Science Department – Federal University of Minas Gerais
+Av. Antˆonio Carlos, 6627, Pampulha, CEP 31270–901, Belo Horizonte, MG, Brazil
+Exact and Technological Sciences Department – State University of Santa Cruz
+Rodovia Ilh´eus-Itabuna, km 16 – Pavilh˜ao Jorge Amado, CEP 45600-000, Ilh´eus, BA, Brazil
+Informatics Department – Pontifical Catholic University of Minas Gerais
+Rua Rio Comprido, 4.580 - CEP 32.010-025, Contagem, MG, Brazil,
+{paula, camillo,"

+1a2431e3b35a4a4794dc38ef16e9eec2996114a1,Automated Face Recognition: Challenges and Solutions,"We are IntechOpen,
+the world’s leading publisher of
+Open Access books
+Built by scientists, for scientists
+,800
+16,000
+Open access books available
+International  authors and editors
+Downloads
+Our authors are among the
+Countries delivered to
+TOP 1%
+2.2%
+most cited scientists
+Contributors from top 500 universities
+Selection of our books indexed in the Book Citation Index
+in Web of Science™ Core Collection (BKCI)
+Interested in publishing with us?
+Contact
+Numbers displayed above are based on latest data collected."

+1a8ccc23ed73db64748e31c61c69fe23c48a2bb1,Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade,"Extensive Facial Landmark Localization
+with Coarse-to-fine Convolutional Network Cascade
+Erjin Zhou Haoqiang Fan Zhimin Cao Yuning Jiang Qi Yin
+Megvii Inc."

+1afe5d933b58b4dd982a559cc6ec1d17959239de,Enhanced canonical correlation analysis with local density for cross-domain visual classification,"978-1-5090-4117-6/17/$31.00 ©2017 IEEE
+ICASSP 2017"

+1a86620ea59816564db30fe0ae94cc422c5266e3,Can 3D Pose be Learned from 2D Projections Alone?,"Can 3D Pose be Learned from
+D Projections Alone?
+Dylan Drover, Rohith MV, Ching-Hang Chen,
+Amit Agrawal, Ambrish Tyagi, and Cong Phuoc Huynh
+Amazon Lab126 Inc., Sunnyvale, CA, USA
+{droverd, kurohith, chinghc, aaagrawa,
+mbrisht,"

+1ad97cce5fa8e9c2e001f53f6f3202bddcefba22,Grassmann Averages for Scalable Robust PCA,"Grassmann Averages for Scalable Robust PCA
+Aasa Feragen
+DIKU and MPIs T¨ubingen∗
+Denmark and Germany
+Søren Hauberg
+DTU Compute∗
+Lyngby, Denmark"

+1a219e7bcd8f30f886a1f24a8c05bc26bef83ff9,Crowd Counting with Density Adaption Networks,"Crowd Counting with Density Adaption Networks
+Li Wang, Weiyuan Shao, Yao Lu, Hao Ye, Jian Pu, Yingbin Zheng"

+1a1ed320882c00c94d9f738b7b14eadd941376ed,Extracting Human Face Similarity Judgments: Pairs or Triplets?,"Extracting Human Face Similarity Judgments: Pairs or Triplets?
+Linjie Li1, Vicente Malave2, Amanda Song2, and Angela J. Yu2
+Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, USA
+Department of Cognitive Science, University of California, San Diego, La Jolla, CA, USA"

+1a1955920ee36d58265fe17100ca451d899e8372,A Local Feature based on Lagrangian Measures for Violent Video Classification,"Best Paper Award, IET 6th International Conference on Imaging for Crime Prevention and Detection, 2015
+A Local Feature based on Lagrangian Measures for Violent Video
+Classification
+Tobias Senst, Volker Eiselein, Thomas Sikora
+Communication Systems Group, Technische Universität Berlin, Germany
+Keywords: violent video detection,
+recognition, lagrangian measures, lagrangian framework
+local feature, action"

+1a9997d8421d577a728f6ac119d4b14a3f46402c,Using Tectogrammatical Annotation for Studying Actors and Actions in Sallust ’ s Bellum Catilinae,"The Prague Bulletin of Mathematical Linguistics
+NUMBER 111 OCTOBER 2018 5–28
+Using Tectogrammatical Annotation for Studying
+Actors and Actions in Sallust’s Bellum Catilinae
+Berta González Saavedra,a Marco Passarottib
+Dep. de Filología Clásica, Universidad Autónoma de Madrid, Spain
+CIRCSE Research Centre. Università Cattolica del Sacro Cuore, Milan, Italy"

+1a6d748365dbf3b17f2db371a30469478ee7b142,DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TPAMI.2016.2587642, IEEE
+Transactions on Pattern Analysis and Machine Intelligence
+IEEE TRANSACTIONS PATTERN ANALYSIS AND MACHINE INTELLIGENCE
+DeepID-Net: Object Detection with Deformable
+Part Based Convolutional Neural Networks
+Wanli Ouyang*, Member, IEEE, Xingyu Zeng*, Student Member, IEEE,
+Xiaogang Wang, Member, IEEE,Shi Qiu Member, IEEE, Ping Luo, Member, IEEE,
+Yonglong Tian Student Member, IEEE, Hongsheng Li, Member, IEEE, Shuo Yang Student Member, IEEE,
+Zhe Wang, Student Member, IEEE, Hongyang Li, Kun Wang, Junjie Yan,
+Chen-Change Loy, Member, IEEE, Xiaoou Tang, Fellow, IEEE"

+1a54a8b0c7b3fc5a21c6d33656690585c46ca08b,Fast Feature Pyramids for Object Detection,"Fast Feature Pyramids for Object Detection
+Piotr Doll´ar, Ron Appel, Serge Belongie, and Pietro Perona"

+1a51bc5f9f12f6794297a426739350ae57c87731,Image classification with CNN-based Fisher vector coding,"Kent Academic Repository
+Full text document (pdf)
+Citation for published version
+Song, Yan and Hong, Xinhai and McLoughlin, Ian Vince and Dai, Li-Rong  (2017) Image Classification
+with CNN-based Fisher Vector Coding.    In: IEEE International Conference on Visual Communications
+nd Image Processing 2016, 27-30 Nov 2016, Chengdu, Sichuan, China.
+https://doi.org/10.1109/VCIP.2016.7805494
+Link to record in KAR
+http://kar.kent.ac.uk/57115/
+Document Version
+Author's Accepted Manuscript
+Copyright & reuse
+Content in the Kent Academic Repository is made available for research purposes. Unless otherwise stated all
+ontent is protected by copyright and in the absence of an open licence (eg Creative Commons), permissions
+for further reuse of content should be sought from the publisher, author or other copyright holder.
+Versions of research
+The version in the Kent Academic Repository may differ from the final published version.
+Users are advised to check http://kar.kent.ac.uk for the status of the paper. Users should always cite the
+published version of record.
+Enquiries"

+1aa52a25c2967b8bc228268c9ab5a96a32d2189b,Visual Fashion-Product Search at SK Planet,"Visual Fashion-Product Search at SK Planet
+Taewan Kim, Seyeoung Kim, Sangil Na, Hayoon Kim, Moonki Kim, Byoung-Ki Jeon
+Machine Intelligence Lab.
+SK Planet, SeongNam City, South Korea"

+1a0b09e7e9182a68fc457bb888536b9023f6c9fd,Multi-affinity spectral clustering,"MULTI-AFFINITY SPECTRAL CLUSTERING
+Hsin-Chien Huang(cid:63)†
+Yung-Yu Chuang(cid:63)
+Chu-Song Chen†
+(cid:63)National Taiwan University
+Academia Sinica"

+1a7a2221fed183b6431e29a014539e45d95f0804,Person Identification Using Text and Image Data,"Person Identification Using Text and Image Data
+David S. Bolme, J. Ross Beveridge and Adele E. Howe
+Computer Science Department
+Colorado State Univeristy
+Fort Collins, Colorado 80523"

+1a5b39a4b29afc5d2a3cd49087ae23c6838eca2b,Competitive Game Designs for Improving the Cost Effectiveness of Crowdsourcing,"Competitive Game Designs for Improving the Cost
+Effectiveness of Crowdsourcing
+Markus Rokicki, Sergiu Chelaru, Sergej Zerr, Stefan Siersdorfer
+L3S Research Center, Hannover, Germany"

+28bd795c580ca24f40dc82cd01d9d277749d2661,Site-adaptation methods for face recognition,"Site-adaptation methods for face recognition
+Jilin Tu and Xiaoming Liu and Peter Tu"

+28209a6ef1de7c10ec13717eba8bad7c2f4feba7,Deep Representation of Facial Geometric and Photometric Attributes for Automatic 3D Facial Expression Recognition,"Deep Representation of Facial Geometric and
+Photometric Attributes for Automatic 3D Facial
+Expression Recognition
+Huibin Li, Jian Sun∗, Dong Wang, Zongben Xu, and Liming Chen"

+28e9ae07540e3709e7a3a6242f636f893ba557e6,Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework,"Learning to Select Pre-trained Deep Representations with
+Bayesian Evidence Framework
+Yong-Deok Kim∗1
+Taewoong Jang∗2 Bohyung Han3
+Seungjin Choi3
+Software R&D Center, Device Solutions, Samsung Electronics, Korea
+Department of Computer Science and Engineering, POSTECH, Korea
+Stradvision Inc., Korea"

+286eb053f55e45ad5d0490c1c18f6d80381dfb4b,Block-Sparse Recovery via Convex Optimization,"Block-Sparse Recovery via Convex Optimization
+Ehsan Elhamifar, Student Member, IEEE, and Ren´e Vidal, Senior Member, IEEE"

+287795991fad3c61d6058352879c7d7ae1fdd2b6,Biometrics Security: Facial Marks Detection from the Low Quality Images,"International Journal of Computer Applications (0975 – 8887)
+Volume 66– No.8, March 2013
+Biometrics Security: Facial Marks Detection from the
+Low Quality Images
+nd  facial  marks  are  detected  using  LoG  with  morphological
+operator.  This  method  though  was  not  enough  to  detect  the
+facial  marks  from  the  low  quality  images  [7].  But,  facial
+marks  have  been  used  to  speed  up  the  retrieval  process  in
+order to differentiate the human faces [15].
+Ziaul Haque Choudhury                                                      K.M.Mehata
+B.S.Abdur Rahman University                                                     B.S.Abdur Rahman University
+Dept. Of Information Technology                                        Dept. Of Computer Science & Engineering
+Chennai, India                                                                               Chennai, India"

+282578039c767f3d393529565cae6be56fda6242,Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes,"Augmented Reality Meets Computer Vision : Efficient Data Generation for
+Urban Driving Scenes
+Hassan Abu Alhaija1
+Siva Karthik Mustikovela1
+Lars Mescheder2 Andreas Geiger2,3 Carsten Rother1
+Computer Vision Lab, TU Dresden
+Autonomous Vision Group, MPI for Intelligent Systems T¨ubingen
+Computer Vision and Geometry Group, ETH Z¨urich"

+285faa4cc54ef9b1834128705e0f96ad17b61e0b,SIFT Flow: Dense Correspondence across Scenes and Its Applications,"SIFT Flow: Dense Correspondence across
+Scenes and its Applications
+Ce Liu, Member, IEEE, Jenny Yuen, Student Member, IEEE, and Antonio Torralba, Member, IEEE"

+28d7029cfb73bcb4ad1997f3779c183972a406b4,Discriminative Nonlinear Analysis Operator Learning: When Cosparse Model Meets Image Classification,"Discriminative Nonlinear Analysis Operator
+Learning: When Cosparse Model Meets Image
+Classification
+Zaidao Wen, Biao Hou, Member, IEEE, and Licheng Jiao, Senior Member, IEEE"

+280d59fa99ead5929ebcde85407bba34b1fcfb59,Online Nonnegative Matrix Factorization With Outliers,"978-1-4799-9988-0/16/$31.00 ©2016 IEEE
+ICASSP 2016"

+28126d165f73c2a18600a9b0440f5e80191d52d9,Clock-Modeled Ternary Spatial Relations for Visual Scene Analysis,"Clock-Modeled Ternary Spatial Relations
+for Visual Scene Analysis
+Joanna Isabelle Olszewska
+School of Computing and Engineering, University of Huddersfield
+Queensgate, Huddersfield, HD1 3DH, United Kingdom"

+287c5be2610e1c61798851feb32b88c424acfbf9,Hierarchical Co-Attention for Visual Question Answering,"Hierarchical Co-Attention for Visual Question Answering
+Jiasen Lu, Jianwei Yang, Dhruv Batra, Devi Parikh
+Virginia Tech
+{jiasenlu, jw2yang, dbatra,"

+28f9cf85ebbff86207e1f6067880bb23daff0878,Prime Object Proposals with Randomized Prim's Algorithm,"Prime Object Proposals with Randomized Prim’s Algorithm
+Santiago Manen1
+Matthieu Guillaumin1
+Luc Van Gool1,2
+Computer Vision Laboratory
+ESAT - PSI / IBBT
+{smanenfr, guillaumin,
+ETH Zurich
+K.U. Leuven"

+286ea63b1b5df1b8b67718f25b47357ec3168e97,Human parsing using stochastic and-or grammars and rich appearances,"Human Parsing using Stochastic And-Or
+Grammars and Rich Appearances
+Brandon Rothrock and Song-Chun Zhu
+UCLA Dept. of Computer Science
+Thursday, November 17, 11"

+284be8be0c6bedc36dfe43229bc84345ab0aedc2,Faster Training of Mask R-CNN by Focusing on Instance Boundaries,"Faster Training of Mask R-CNN by Focusing on Instance Boundaries$
+Roland S. Zimmermanna,b,1, Julien N. Siemsa,c,2
+BMW Car IT GmbH, Lise-Meitner-Straße 14, 89081 Ulm, Germany
+Georg-August University of G¨ottingen, Friedrich-Hund-Platz 1, 37077 G¨ottingen, Germany
+Albert Ludwig University of Freiburg, Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany"

+28f53ec7732299fa946ed3fc27bf691a6ab5c60c,Spatial as Deep: Spatial CNN for Traffic Scene Understanding,"Spatial As Deep: Spatial CNN for Traffic Scene Understanding
+Xingang Pan1, Jianping Shi2, Ping Luo1, Xiaogang Wang1, and Xiaoou Tang1
+{px117, pluo,
+The Chinese University of Hong Kong 2SenseTime Group Limited"

+283550fce0fdc0876db5df533625dffdfcd8d099,Fairness-aware scheduling on single-ISA heterogeneous multi-cores,"Fairness-Aware Scheduling on
+Single-ISA Heterogeneous Multi-Cores
+Kenzo Van Craeynest†◦
+Ghent University, Belgium
+Shoaib Akram†
+Wim Heirman†◦
+◦ExaScience Lab, Belgium
+Aamer Jaleel‡
+Lieven Eeckhout†
+VSSAD, Intel Corporation
+(e.g.,"

+28cd46a078e8fad370b1aba34762a874374513a5,"cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers Survey","CVPAPER.CHALLENGE IN 2016, JULY 2017
+vpaper.challenge in 2016: Futuristic Computer
+Vision through 1,600 Papers Survey
+Hirokatsu Kataoka, Soma Shirak-
+be, Yun He, Shunya Ueta, Teppei Suzuki, Kaori Abe, Asako Kanezaki, Shin’ichiro
+Morita, Toshiyuki Yabe, Yoshihiro Kanehara, Hiroya Yatsuyanagi, Shinya Maruyama, Ryosuke Taka-
+sawa, Masataka Fuchida, Yudai Miyashita, Kazushige Okayasu, Yuta Matsuzaki"

+28daa489dace2d2f040dcdbbd2d4ab919b046254,2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning,"D/3D Pose Estimation and Action Recognition using Multitask Deep Learning
+ETIS UMR 8051, Paris Seine University, ENSEA, CNRS, F-95000, Cergy, France
+Sorbonne Universit´e, CNRS, Laboratoire d’Informatique de Paris 6, LIP6, F-75005 Paris, France
+Diogo C. Luvizon1, David Picard1,2, Hedi Tabia1
+{diogo.luvizon, picard,"

+2805daf3795e4e153d79dbecfe88b830ddc068d3,Articulated human motion tracking with foreground learning,"ARTICULATED HUMAN MOTION TRACKING WITH FOREGROUND LEARNING
+Aichun Zhu1, Hichem Snoussi1, Abel Cherouat2
+ICD - LM2S - Universit´e de Technologie de Troyes (UTT) - UMR STMR CNRS
+ICD - GAMMA3 - Universit´e de Technologie de Troyes (UTT) - UMR STMR CNRS
+2 rue Marie Curie - CS 42060 - 10004 Troyes cedex - France
+E-mail :{aichun.zhu, hichem.snoussi,"

+280d45fb813e75622b7c584ee7fba70066245871,Visual Tracking with Online Incremental Deep Learning and Particle Filter,"International Journal of Signal Processing, Image Processing and Pattern Recognition
+Vol.8, No.12 (2015), pp.107-120
+http://dx.doi.org/10.14257/ijsip.2015.8.12.12
+Visual Tracking with Online Incremental Deep Learning and
+Particle Filter
+Shuai Cheng 1, Yonggang Cao3,1, Junxi Sun2 and Guangwen Liu1*
+School of Electronic Information Engineering, Changchun University of Science
+School of Computer Science and information Technology, Northeast Normal
+nd Technology, Changchun, China
+Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of
+University, Changchun, China
+Sciences, Changchun, China"

+2803a7e8e6057d4e9462b37b258e670df61a742d,The Conference on Empirical Methods in Natural Language Processing Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing,"EMNLP2017TheConferenceonEmpiricalMethodsinNaturalLanguageProcessingProceedingsofthe2ndWorkshoponStructuredPredictionforNaturalLanguageProcessingSeptember9-11,2017Copenhagen,Denmark"

+28795f32b324eb3601e9a8c1ce93335691e120f3,CliqueCNN: Deep Unsupervised Exemplar Learning,"CliqueCNN: Deep Unsupervised Exemplar Learning
+Miguel A. Bautista∗, Artsiom Sanakoyeu∗, Ekaterina Sutter, Björn Ommer
+Heidelberg Collaboratory for Image Processing
+IWR, Heidelberg University, Germany"

+28103f6c09fd64c90a738076b0681400d4d31c9f,Color Invariants for Person Reidentification,"Color Invariants for Person
+Re-Identification
+Igor Kviatkovsky
+Technion - Computer Science Department - M.Sc. Thesis  MSC-2012-03 - 2012"

+2891ceceaf586e4ae013d932978074ff0a06801f,Joint statistical analysis of images and keywords with applications in semantic image enhancement,"Joint Statistical Analysis of Images and Keywords with
+Applications in Semantic Image Enhancement
+Albrecht Lindner
+School of Computer and
+Communication Sciences
+EPFL, Switzerland
+Nicolas Bonnier
+Océ Print Logic Technologies
+Créteil, France
+Appu Shaji
+School of Computer and
+Communication Sciences
+EPFL, Switzerland
+Sabine Süsstrunk
+School of Computer and
+Communication Sciences
+EPFL, Switzerland"

+28d65e4d72638983fbc723b102d78b10587c06aa,Low Resolution Sparse Binary Face Patterns,

+28b6adbc5ef790413431cdb2f512432862778b3b,Security and Surveillance,"Security and Surveillance
+Shaogang Gong and Chen Change Loy and Tao Xiang"

+286c1e0b34ee6d40706ca6a02604420a192204e7,An overview of NuDetective Forensic Tool and its usage to combat child pornography in Brazil,"An overview of NuDetective Forensic Tool and its usage
+to combat child pornography in Brazil
+Pedro Monteiro da Silva Eleuterio and Mateus de Castro Polastro
+Brazilian Federal Police"

+28b5b5f20ad584e560cd9fb4d81b0a22279b2e7b,A New Fuzzy Stacked Generalization Technique and Analysis of its Performance,"A New Fuzzy Stacked Generalization Technique
+nd Analysis of its Performance
+Mete Ozay, Student Member, IEEE, Fatos T. Yarman Vural, Member, IEEE"

+28c24f16e20c83c747f2aca8232f2cb6614905f5,The Role of Face Parts in Gender Recognition,"The Role of Face Parts in Gender Recognition
+Yasmina Andreu and Ram´on A. Mollineda
+Dept. Llenguatges i Sistemes Inform`atics
+Universitat Jaume I. Castell´o de la Plana, Spain"

+283181a2173b485726664edc6fe73f0465387629,Random Temporal Skipping for Multirate Video Analysis,"Random Temporal Skipping for Multirate Video
+Analysis
+Yi Zhu1 and Shawn Newsam1
+University of California at Merced, Merced CA 95343, USA"

+28bc378a6b76142df8762cd3f80f737ca2b79208,Understanding Objects in Detail with Fine-Grained Attributes,"Understanding Objects in Detail with Fine-grained Attributes
+Andrea Vedaldi1
+Siddharth Mahendran2
+Stavros Tsogkas3
+Subhransu Maji4
+Ross Girshick5
+Juho Kannala6
+Esa Rahtu6
+Matthew B. Blaschko3
+David Weiss7
+Ben Taskar8
+Naomi Saphra2
+Sammy Mohamed9
+Iasonas Kokkinos3
+Karen Simonyan1"

+2814d558b4d7425b5dae6b3dbbf5f4a08650fcb1,A joint estimation of head and body orientation cues in surveillance video,"A Joint Estimation of Head and Body Orientation Cues in Surveillance Video
+Cheng Chen
+Alexandre Heili
+Jean-Marc Odobez
+Idiap Research Institute – CH-1920, Martigny, Switzerland∗"

+28e77337bcb88e37d36f5660709a53e71377a2a8,5 Discriminative Cluster Analysis,",250+OPEN ACCESS BOOKS106,000+INTERNATIONALAUTHORS AND EDITORS112+ MILLIONDOWNLOADSBOOKSDELIVERED TO151 COUNTRIESAUTHORS AMONGTOP 1%MOST CITED SCIENTIST12.2%AUTHORS AND EDITORSFROM TOP 500 UNIVERSITIESSelection of our books indexed in theBook Citation Index in Web of Science™Core Collection (BKCI)Chapter from the book Theory and Novel Applications of Machine LearningDownloaded from:http://www.intechopen.com/books/theory_and_novel_applications_of_machine_learningPUBLISHED BYWorld's largest Science,Technology & Medicine Open Access book publisherInterested in publishing with InTechOpen?Contact us at"

+2842cebee2793c9b4f503895a32b328b7781b60e,BWIBots: A platform for bridging the gap between AI and human-robot interaction research,"Article
+BWIBots: A platform for bridging the
+gap between AI and human–robot
+interaction research
+The International Journal of
+Robotics Research
+© The Author(s) 2017
+Reprints and permissions:
+sagepub.co.uk/journalsPermissions.nav
+DOI: 10.1177/0278364916688949
+journals.sagepub.com/home/ijr
+Piyush Khandelwal1, Shiqi Zhang1,2, Jivko Sinapov1, Matteo Leonetti1,3, Jesse Thomason1,
+Fangkai Yang4, Ilaria Gori5, Maxwell Svetlik1, Priyanka Khante1, Vladimir Lifschitz1,
+J. K. Aggarwal5, Raymond Mooney1 and Peter Stone1"

+28af8e1a3cb3a158f8a642c8493fcfb207743d0a,Better Image Segmentation by Exploiting Dense Semantic Predictions,"Better Image Segmentation by Exploiting Dense
+Semantic Predictions
+Qiyang Zhao, Lewis D Griffin
+Beihang University & UCL"

+2864c8df356b1b915e16bb285bda64bfd7396f74,3D Face Reconstruction from Stereo: A Model Based Approach,"-4244-1437-7/07/$20.00 ©2007 IEEE
+III - 65
+ICIP 2007"

+2848cde23fe32c30980183f33b6a2c2ce7526726,Three-Dimensional Model-Based Human Detection in Crowded Scenes,"Title
+Three-dimensional model-based human detection in crowded
+scenes
+Author(s)
+Wang, L; Yung, NHC
+Citation
+v. 13 n. 2, p. 691-703
+Issued Date
+http://hdl.handle.net/10722/155766
+Rights
+Copyright © IEEE.; ©20xx IEEE. Personal use of this material is
+permitted. However, permission to reprint/republish this material
+for advertising or promotional purposes or for creating new
+ollective works for resale or redistribution to servers or lists, or
+to reuse any copyrighted component of this work in other works
+must be obtained from the IEEE.; This work is licensed under a
+Creative Commons Attribution-NonCommercial-NoDerivatives
+.0 International License."

+287afb29b5aef6255a5882418b87e6b41cc9b29d,Nude Detection in Video Using Bag-of-Visual-Features,"Nude Detection in Video using Bag-of-Visual-Features
+Ana Paula B. Lopes∗†, Sandra E. F. de Avila∗, Anderson N. A. Peixoto∗,
+Rodrigo S. Oliveira∗, Marcelo de M. Coelho∗‡ and Arnaldo de A. Ara´ujo∗
+Computer Science Department, Federal University of Minas Gerais – UFMG
+Exact and Technological Sciences Department, State University of Santa Cruz – UESC
+1270–010, Belo Horizonte, MG, Brazil
+5662–000, Ilh´eus, BA, Brazil
+Preparatory School of Air Cadets – EPCAR
+6205–900, Barbacena, MG, Brazil
+{paula, sandra, andenap, rsilva, mcoelho,"

+28bcf31f794dc27f73eb248e5a1b2c3294b3ec9d,Improved Combination of LBP plus LFDA for Facial Expression Recognition using SRC,"International Journal of Computer Applications (0975 – 8887)
+Volume 96– No.13, June 2014
+Improved Combination of LBP plus LFDA for Facial
+Expression Recognition using SRC
+Ritesh Bora
+Research Scholar, CSE Department,
+Government College of Engineering, Aurangabad
+human
+facial
+expression
+recognition"

+288bddfabe739b32721df62d821632e3dafed06a,Robust multi-image based blind face hallucination,"Robust Multi-Image Based Blind Face Hallucination
+Yonggang Jin, 2Christos-Savvas Bouganis
+University of Bristol. 2Imperial College London.
+1.56 0.73
+3.15 0.80
+3.61 0.82
+3.32 0.80
+3.98 0.83
+3.63 0.82
+PCA-Init
+PCA-Est
+PCA-GT
+MPPCA-Est MPPCA-GT
+Methods
+Blurring
+Trans.
+9.67
+Initial
+9.52
+[1, 5]"

+2830fb5282de23d7784b4b4bc37065d27839a412,Poselets: Body part detectors trained using 3D human pose annotations,"Poselets: Body Part Detectors Trained Using 3D Human Pose Annotations ∗
+Lubomir Bourdev1,2 and Jitendra Malik1
+EECS, U.C. Berkeley, Berkeley, CA 94720
+Adobe Systems, Inc., 345 Park Ave, San Jose, CA 95110"

+28fe6e785b32afdcd2c366c9240a661091b850cf,Facial Expression Recognition using Patch based Gabor Features,"International Journal of Applied Information Systems (IJAIS) – ISSN : 2249-0868
+Foundation of Computer Science FCS, New York, USA
+Volume 10 – No.7, March 2016 – www.ijais.org
+Facial Expression Recognition using Patch based Gabor
+Features
+Electronics & Telecommunication Engg
+Electronics & Telecommunication Engg
+St. Francis Institute of Technology
+St. Francis Institute of Technology
+Vaqar Ansari
+Department
+Mumbai, India
+Anju Chandran
+Department
+Mumbai, India"

+28e1c113b1b57e0731c189d28e404cea3bddf260,Template based Mole Detection for Face,"is  used
+recognition"

+28c9198d30447ffe9c96176805c1cd81615d98c8,No evidence that a range of artificial monitoring cues influence online donations to charity in an MTurk sample,"rsos.royalsocietypublishing.org
+Research
+Cite this article: Saunders TJ, Taylor AH,
+Atkinson QD. 2016 No evidence that a range of
+rtificial monitoring cues influence online
+donations to charity in an MTurk sample.
+R. Soc. open sci. 3: 150710.
+http://dx.doi.org/10.1098/rsos.150710
+Received: 22 December 2015
+Accepted: 13 September 2016
+Subject Category:
+Psychology and cognitive neuroscience
+Subject Areas:
+ehaviour/psychology/evolution
+Keywords:
+prosociality, eye images, charity donation,
+reputation, online behaviour
+Author for correspondence:
+Quentin D. Atkinson
+e-mail:"

+284b5dafe6d8d7552794ccd2efb4eabb12dc3512,Efficient and accurate inversion of multiple scattering with deep learning,"Efficient and accurate inversion of multiple scattering with deep learning
+Yu Sun1, Zhihao Xia1, and Ulugbek S. Kamilov1,2,∗
+Department of Computer Science and Engineering, Washington University in St. Louis, MO 63130, USA.
+Department of Electrical and Systems Engineering, Washington University in St. Louis, MO 63130, USA.
+email:"

+28446fa9d9ac0468cc715594a6dcc0ac5d9288a5,Semantic Instance Segmentation for Autonomous Driving Bert,"Semantic Instance Segmentation for Autonomous Driving
+Bert De Brabandere
+Davy Neven
+Luc Van Gool
+ESAT-PSI, KU Leuven"

+2866cbeb25551257683cf28f33d829932be651fe,A Two-Step Learning Method For Detecting Landmarks on Faces From Different Domains,"In Proceedings of the 2018 IEEE International Conference on Image Processing (ICIP)
+The final publication is available at: http://dx.doi.org/10.1109/ICIP.2018.8451026
+A TWO-STEP LEARNING METHOD FOR DETECTING LANDMARKS
+ON FACES FROM DIFFERENT DOMAINS
+Bruna Vieira Frade
+Erickson R. Nascimento
+Universidade Federal de Minas Gerais (UFMG), Brazil
+{brunafrade,"

+28589357a7631581e55ec6db3cde2e24e4789482,Involuntary processing of social dominance cues from bimodal face-voice displays.,"Cognition and Emotion
+ISSN: 0269-9931 (Print) 1464-0600 (Online) Journal homepage: http://www.tandfonline.com/loi/pcem20
+Involuntary processing of social dominance cues
+from bimodal face-voice displays
+Virginie Peschard, Pierre Philippot & Eva Gilboa-Schechtman
+To cite this article: Virginie Peschard, Pierre Philippot & Eva Gilboa-Schechtman (2016):
+Involuntary processing of social dominance cues from bimodal face-voice displays, Cognition and
+Emotion, DOI: 10.1080/02699931.2016.1266304
+To link to this article:  http://dx.doi.org/10.1080/02699931.2016.1266304
+Published online: 21 Dec 2016.
+Submit your article to this journal
+Article views: 33
+View related articles
+View Crossmark data
+Full Terms & Conditions of access and use can be found at
+http://www.tandfonline.com/action/journalInformation?journalCode=pcem20
+Download by: [UCL Service Central des Bibliothèques]
+Date: 25 April 2017, At: 23:38"

+281be1be2f0ecce173e3678a7e87419f0815e016,Studies of Plain-to-Rolled Fingerprint Matching Using the NIST Algorithmic Test Bed (ATB),"Studies of Plain-to-Rolled Fingerprint
+Matching Using the NIST
+Algorithmic Test Bed (ATB)
+NISTIR 7112
+Stephen S. Wood
+Charles L. Wilson
+April 2004"

+28eceb438da0b841bbd3d02684dbfa263838ed60,Photographic Image Synthesis with Cascaded Refinement Networks,"Photographic Image Synthesis with Cascaded Refinement Networks
+Qifeng Chen† ‡
+Vladlen Koltun†
+(a) Input semantic layouts
+(b) Synthesized images
+Figure 1. Given a pixelwise semantic layout, the presented model synthesizes an image that conforms to this layout. (a) Semantic layouts
+from the Cityscapes dataset of urban scenes; semantic classes are coded by color. (b) Images synthesized by our model for these layouts.
+The layouts shown here and throughout the paper are from the validation set and depict scenes from new cities that were never seen during
+training. Best viewed on the screen."

+28f5f8dc2f2f9f2a4e49024fe6aa7e9a63b23ab0,Vision-based bicycle detection and tracking using a deformable part model and an EKF algorithm,"Vision-based Bicycle Detection and Tracking using a Deformable Part
+Model and an EKF Algorithm
+Hyunggi Cho, Paul E. Rybski and Wende Zhang"

+28aa89b2c827e5dd65969a5930a0520fdd4a3dc7,Characterization and Classification of Faces across Age Progression,

+283b3160f02db64759259b4eb39dd54c4969d6f8,ActivityNet: A large-scale video benchmark for human activity understanding,"ActivityNet: A Large-Scale Video Benchmark for Human Activity
+Understanding
+Fabian Caba Heilbron1,2, Victor Escorcia1,2, Bernard Ghanem2 and Juan Carlos Niebles1
+King Abdullah University of Science and Technology (KAUST), Saudi Arabia
+Universidad del Norte, Colombia"

+28b061b5c7f88f48ca5839bc8f1c1bdb1e6adc68,Predicting User Annoyance Using Visual Attributes,"Predicting User Annoyance Using Visual Attributes
+Gordon Christie
+Virginia Tech
+Amar Parkash
+Goibibo
+Ujwal Krothapalli
+Virginia Tech
+Devi Parikh
+Virginia Tech"

+28f1f6cbe07b117387e2b07c11e7ac9c4ef8cf95,A Machine Learning Approach to Pedestrian Detection for Autonomous Vehicles Using High-Definition 3D Range Data,"Article
+A Machine Learning Approach to Pedestrian
+Detection for Autonomous Vehicles Using
+High-Definition 3D Range Data
+Pedro J. Navarro *,†, Carlos Fernández †, Raúl Borraz † and Diego Alonso †
+División de Sistemas en Ingeniería Electrónica (DSIE), Universidad Politécnica de Cartagena,
+Campus Muralla del Mar, s/n, Cartagena 30202, Spain; (C.F.);
+(R.B.); (D.A.)
+* Correspondence: Tel.: +34-968-32-6546
+These authors contributed equally to this work.
+Academic Editor: Felipe Jimenez
+Received: 31 October 2016; Accepted: 15 December 2016; Published: 23 December 2016"

+1701ee9e9518a055e82e79f6425645c4797c19de,Supervised Hashing Using Graph Cuts and Boosted Decision Trees,"APPEARING IN IEEE TRANS. PATTERN ANALYSIS AND MACHINE INTELLIGENCE, FEB. 2015
+Supervised Hashing Using Graph Cuts and
+Boosted Decision Trees
+Guosheng Lin, Chunhua Shen, Anton van den Hengel"

+17a85799c59c13f07d4b4d7cf9d7c7986475d01c,Extending Procrustes Analysis: Building Multi-view 2-D Models from 3-D Human Shape Samples,"ADVERTIMENT.  La  consulta  d’aquesta  tesi  queda  condicionada  a  l’acceptació  de  les  següents
+ondicions  d'ús:  La  difusió  d’aquesta  tesi  per  mitjà  del  servei  TDX  (www.tesisenxarxa.net)  ha
+estat  autoritzada  pels  titulars  dels  drets  de  propietat  intel·lectual  únicament  per  a  usos  privats
+emmarcats en activitats d’investigació i docència. No s’autoritza la seva reproducció amb finalitats
+de lucre ni la seva difusió i posada a disposició des d’un lloc aliè al servei TDX. No s’autoritza la
+presentació  del  seu  contingut  en  una  finestra  o  marc  aliè  a  TDX  (framing).  Aquesta  reserva  de
+drets afecta tant al resum de presentació de la tesi com als seus continguts. En la utilització o cita
+de parts de la tesi és obligat indicar el nom de la persona autora.
+ADVERTENCIA. La consulta de esta tesis queda condicionada a la aceptación de las siguientes
+ondiciones de uso: La difusión de esta tesis por medio del servicio TDR (www.tesisenred.net) ha
+sido autorizada por los titulares de los derechos de propiedad intelectual únicamente para usos
+privados enmarcados en actividades de investigación y docencia. No se autoriza su reproducción
+on finalidades de lucro ni su difusión y puesta a disposición desde un sitio ajeno al servicio TDR.
+No se autoriza la presentación de su contenido en una ventana o marco ajeno a TDR (framing).
+Esta  reserva  de  derechos  afecta  tanto  al  resumen  de  presentación  de  la  tesis  como  a  sus
+ontenidos.  En  la  utilización  o  cita  de  partes  de  la  tesis  es  obligado  indicar  el  nombre  de  la
+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"

+174ddb6379b91a0e799e9988d0e522a5af18f91d,ChatPainter: Improving Text to Image Generation using Dialogue,"ChatPainter: Improving Text to Image Generation using Dialogue
+Shikhar Sharma 1 Dendi Suhubdy 2 3 Vincent Michalski 2 3 1 Samira Ebrahimi Kahou 1 Yoshua Bengio 2 3"

+17c62bff70eb0919864f111df4930062aded729a,Encoding Spatial Context in Local Image Descriptors,"Universit¨at des Saarlandes
+Max-Planck-Institut f¨ur Informatik
+Encoding Spatial Context in
+Local Image Descriptors
+Masterarbeit im Fach Informatik
+Master’s Thesis in Computer Science
+von / by
+Dushyant Mehta
+ngefertigt unter der Leitung von / supervised by
+Dr. Roland Angst
+etreut von / advised by
+Dr. Roland Angst
+egutachtet von / reviewers
+Dr. Roland Angst
+Prof. Dr. Joachim Weickert
+Saarbr¨ucken, February 28, 2016"

+17dea513763c57dcd0e62085045fb5be6770c600,"Dynamic thread mapping for high-performance, power-efficient heterogeneous many-core systems","Summary: Dynamic Thread Mapping for High-Performance, Power-Efficient
+Heterogeneous Many-core Systems
+Guangshuo Liu, Jinpyo Park, Diana Marculescu
+I. OVERVIEW
+throughput
+for  maximizing
+This  paper  investigates  about  the  problem  of  dynamic  thread
+mapping  in  heterogeneous  many-core  systems  via  an  efficient
+lgorithm that maximizes performance under power constraints.
+The  approach  is  to  formulate  the  mapping  problem  as  a  0-1
+integer  linear  program  (ILP),  given  any  numbers  of  threads,
+ores  and  type  of  cores.  An  iterative  O(n2/m)  heuristic-based
+lgorithm  for  solving  the  0-1  ILP  thread  mapping  is  proposed,
+thereby providing, a novel scalable approach for effective thread
+mapping
+on  many-core
+heterogeneous systems.
+The paper considers multi-threaded workloads and assumes that
+each  core  runs  at  most  one  thread  at  a  time  thereby  supporting
+single  threaded  execution,  without  simultaneous  multithreading"

+1748867e04ba16673ec5231f6a2ca0ae03835658,Fast Exact Search in Hamming Space With Multi-Index Hashing,"Fast Exact Search in Hamming Space
+with Multi-Index Hashing
+Mohammad Norouzi, Ali Punjani, David J. Fleet,
+{norouzi, alipunjani,"

+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"

+17257fc03b611315ae49bd53d229188b889002e6,Hard Negative Mining for Metric Learning Based Zero-Shot Classification,"Hard Negative Mining for
+Metric Learning Based Zero-Shot Classification
+Maxime Bucher1,2, St´ephane Herbin1, Fr´ed´eric Jurie2
+ONERA - The French Aerospace Lab, Palaiseau, France
+Normandie Univ, UNICAEN, ENSICAEN, CNRS, Caen, France"

+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
+Received on 15th July 2014
+Revised on 17th September 2014
+Accepted on 23rd September 2014
+doi: 10.1049/iet-bmt.2014.0045
+ISSN 2047-4938
+BioHDD: a dataset for studying biometric
+identification on heavily degraded data
+Gil Santos1, Paulo T. Fiadeiro2, Hugo Proença1
+Department of Computer Science, IT – Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal
+Department of Physics, Remote Sensing Unit – Optics, Optometry and Vision Sciences Group, University of Beira Interior,
+Covilhã, Portugal
+E-mail:"

+171d7762137725839fe5292901fe90d91b74811d,SLAM Algorithm by using Global Appearance of Omnidirectional Images,

+174cd8e98f17b3f5bda1c8e16cb39e3dec800f74,Multi-scale Context Intertwining for Semantic Segmentation,"Multi-Scale Context Intertwining
+for Semantic Segmentation
+Di Lin1, Yuanfeng Ji1, Dani Lischinski2, Daniel Cohen-Or1,3, and Hui Huang1(cid:63)
+Shenzhen University 2The Hebrew University of Jerusalem 3Tel Aviv University"

+17c0094c68d6efd19b80287c51d228fa50750f46,An efficient partial face detection method using AlexNet CNN,"SSRG International Journal of Electronics and Communication Engineering - (ICRTECITA-2017) - Special Issue - March 2017
+An efficient partial face detection method using
+AlexNet CNN
+Prof Mr.Sivalingam.T, S.Kabilan ,
+Dhanabal.M ,Arun.R ,Chandrabhagavan.K
+V.S.B Engineering College,Karur"

+177c48590469c62d430cf74fee7b5bd28bfbbc1d,Articulated Motion Learning via Visual and Lingual Signals,"Learning Articulated Motion Models from Visual and Lingual Signals
+Zhengyang Wu
+Georgia Tech
+Atlanta, GA 30332
+Mohit Bansal
+TTI-Chicago
+Chicago, IL 60637
+Matthew R. Walter
+TTI-Chicago
+Chicago, IL 60637"

+1740a0732e8e308f5dd395313313cc3289666f13,Preference-Aware View Recommendation System for Cameras Based on Bag of Aesthetics-Preserving Features,"Transactions on Multimedia
+Page 22 of 32
+Preference-Aware View Recommendation System
+for Cameras Based on Bag of
+Aesthetics-Preserving Features
+Hsiao-Hang Su, Tse-Wei Chen, Member, IEEE, Chieh-Chi Kao, Winston H. Hsu, Member, IEEE,
+nd Shao-Yi Chien*, Member, IEEE"

+17ff59bb388b155f613f7566ba7cd71ec780cdec,Asymmetric Sparse Kernel Approximations for Large-Scale Visual Search,"Asymmetric sparse kernel approximations
+for large-scale visual search
+Damek Davis
+University of California
+Los Angeles, CA 90095
+Jonathan Balzer
+University of California
+Los Angeles, CA 90095
+Stefano Soatto
+University of California
+Los Angeles, CA 90095"

+17dd242e6d7afb5d7fafcf9f8e8b201573ce4b89,An Extensive Review on Spectral Imaging in Biometric Systems: Challenges and Advancements,"An Extensive Review on Spectral Imaging in Biometric Systems: Challenges &
+Advancements
+Rumaisah Munira,∗, Rizwan Ahmed Khana,b,∗∗
+Faculty of IT, Barrett Hodgson University, Karachi, Pakistan.
+LIRIS, Universite Claude Bernard Lyon1, France."

+17635e22a73da3ff60a72715b7dd8837de6fee89,The ABBA study – approach bias modification in bulimia nervosa and binge eating disorder: study protocol for a randomised controlled trial,"Brockmeyer et al. Trials  (2016) 17:466
+DOI 10.1186/s13063-016-1596-6
+ST UD Y P R O T O C O L
+Open Access
+The ABBA study – approach bias
+modification in bulimia nervosa and binge
+eating disorder: study protocol for a
+randomised controlled trial
+Timo Brockmeyer1,2*, Ulrike Schmidt2 and Hans-Christoph Friederich1,3"

+17daa9ddaf524de914e7440157fc0314db171884,Data driven analysis of faces from images,"Data Driven Analysis
+of Faces from Images
+Dissertation zur Erlangung des Grades „Doktor der Ingenieurwissenschaften (Dr.-Ing.)”
+der Naturwissenschaftlich-Technischen Fakultäten der Universität des Saarlandes
+Kristina Scherbaum
+8.05.2013
+Universität des Saarlandes | Max-Planck-Institut für Informatik
+Saarbrücken – Germany"

+17a995680482183f3463d2e01dd4c113ebb31608,Structured Label Inference for Visual Understanding,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. X, NO. Y, MONTH Z
+Structured Label Inference for
+Visual Understanding
+Nelson Nauata, Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng,
+Zicheng Liao and Greg Mori"

+17a9db524ddbeb5577a94924c2a7cca048dd19f9,Object Recognition with Multi-Scale Pyramidal Pooling Networks,"Object Recognition with Multi-Scale Pyramidal
+Pooling Networks
+Jonathan Masci1, Ueli Meier1, Gabriel Fricout2, and J¨urgen Schmidhuber1
+IDSIA – USI – SUPSI, Manno – Lugano, Switzerland,
+http://idsia.ch/~masci/
+ArcelorMittal, Maizi`eres Research, Measurement and Control Dept., France"

+17db741725b9f8406f69b27a117e99bee1a9a323,Person Re-identification with a Body Orientation-Specific Convolutional Neural Network,"Person Re-identification with a Body
+Orientation-Specific Convolutional Neural Network
+Yiqiang Chen, Stefan Duffner, Andrei Stoian, Jean-Yves Dufour, Atilla
+Baskurt
+To cite this version:
+Yiqiang Chen, Stefan Duffner, Andrei Stoian, Jean-Yves Dufour, Atilla Baskurt. Person Re-
+identification with a Body Orientation-Specific Convolutional Neural Network. Advanced Concepts
+for Intelligent Vision systems, Sep 2018, Poitiers, France. <hal-01895374>
+HAL Id: hal-01895374
+https://hal.archives-ouvertes.fr/hal-01895374
+Submitted on 15 Oct 2018
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,"

+1742ffea0e1051b37f22773613f10f69d2e4ed2c,Interactive Mirror for Smart Home,

+174b6d661b96840e27cd9435c2dbb8e538b2c8a6,Progressive Representation Adaptation for Weakly Supervised Object Localization,"Progressive Representation Adaptation for
+Weakly Supervised Object Localization
+Dong Li, Jia-Bin Huang, Yali Li, Shengjin Wang(cid:63) and Ming-Hsuan Yang"

+17d84ca10607442a405f3c4c8b4572bdd79801c2,Expression robust 3D face recognition via mesh-based histograms of multiple order surface differential quantities,"EXPRESSION ROBUST 3D FACE RECOGNITION VIA MESH-BASED HISTOGRAMS OF
+MULTIPLE ORDER SURFACE DIFFERENTIAL QUANTITIES
+Huibin Li1,2, Di Huang1,2, Pierre Lemaire1,2, Jean-Marie Morvan1,3,4, Liming Chen1,2
+Universit´e de Lyon, CNRS
+Ecole Centrale de Lyon, LIRIS UMR5205, F-69134, Lyon, France
+Universit´e Lyon 1, Institut Camille Jordan,
+3 blvd du 11 Novembre 1918, F-69622 Villeurbanne - Cedex, France
+King Abdullah University of Science and Technology, GMSV Research Center,
+Bldg 1, Thuwal 23955-6900, Saudi Arabia"

+17ad76ef00d4cb584389682ca6b138a8bdc9a2da,Continuous Multimodal Emotion Recognition Approach for AVEC 2017,"Continuous Multimodal Emotion Recognition
+Approach for AVEC 2017
+Narotam Singh*, Nittin Singh†, Abhinav Dhall‡
+Department of Computer Science and Engineering, Indian Institute of Technology Ropar
+Email:
+India"

+174930cac7174257515a189cd3ecfdd80ee7dd54,Multi-view Face Detection Using Deep Convolutional Neural Networks,"Multi-view Face Detection Using Deep Convolutional
+Neural Networks
+Sachin Sudhakar Farfade
+Yahoo
+Mohammad Saberian
+inc.com
+Yahoo
+Li-Jia Li
+Yahoo"

+1750db78b7394b8fb6f6f949d68f7c24d28d934f,Detecting Facial Retouching Using Supervised Deep Learning,"Detecting Facial Retouching Using Supervised
+Deep Learning
+Aparna Bharati, Richa Singh, Senior Member, IEEE, Mayank Vatsa, Senior Member, IEEE, Kevin W.
+Bowyer, Fellow, IEEE"

+17e769ef3d86e74c21f2616c7f7a6f20a4e2fbaa,Bag of Machine Learning Concepts for Visual Concept Recognition in Images,"Bag of Machine Learning Concepts for
+Visual Concept Recognition in Images
+vorgelegt vom
+Diplom-Mathematiker
+Alexander Binder
+us Berlin
+von der Fakult¨at IV – Elektrotechnik und Informatik
+der Technischen Universit¨at Berlin
+zur Erlangung des akademischen Grades
+Doktor der Naturwissenschaften
+– Dr. rer. nat. –
+genehmigte Dissertation
+Promotionsausschuss:
+Vorsitzender:
+. Gutachter:
+. Gutachter:
+. Gutachter:
+Prof. Dr. Olaf Hellwich
+Prof. Dr. Klaus-Robert M¨uller
+Prof. Dr. Volker Tresp"

+173657da03e3249f4e47457d360ab83b3cefbe63,HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report,"HKU-Face: A Large Scale Dataset for
+Deep Face Recognition
+Final Report
+Haicheng Wang
+035140108
+COMP4801 Final Year Project
+Project Code: 17007"

+177cbeb83c3a0868b9a5c75cd74edf4b972cba80,Exact Primitives for Time Series Data Mining,"UNIVERSITY OF CALIFORNIA
+RIVERSIDE
+Exact Primitives for Time Series Data Mining
+A Dissertation submitted in partial satisfaction
+of the requirements for the degree of
+Doctor of Philosophy
+Computer Science
+Abdullah Al Mueen
+March 2012
+Dissertation Committee:
+Dr. Eamonn Keogh, Chairperson
+Dr. Vassilis Tsotras
+Dr. Stefano Lonardi"

+7b0e81249159686337ca2cfe81662123906b6b26,An Automatic Eye Detection Method for Gray Intensity Facial Images,"IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 4, No 2, July 2011
+ISSN (Online): 1694-0814
+www.IJCSI.org
+An Automatic Eye Detection Method for Gray Intensity Facial
+Images
+M. Hassaballah1,2 , Kenji Murakami1, Shun Ido1
+Department of Computer Science, Ehime University, 790-8577, Japan
+Department of Mathematics, Faculty of Science, South Valley University, Qena, 83523, Egypt"

+7be6fe8c58ca12974c563689b7230b933dfca432,Design of Radial Basis Function Network as Classifier in Face Recognition Using Eigenfaces,"SBRN’98 – Simpósio Brasileiro de Redes Neurais, Belo Horizonte, Minas Gerais, dezembro de 1998.
+Design of Radial Basis Function Network as Classifier in Face Recognition Using
+Eigenfaces
+Carlos Eduardo Thomaz
+Raul Queiroz Feitosa
+Álvaro Veiga
+PUC RJ- Pontifícia Universidade Católica do Rio de Janeiro
+Departamento de Engenharia Elétrica
+Rua Marquês de São Vicente, 225, 22453-900 Rio de Janeiro, RJ, Brasil"

+7bd6d0bca27ff68621acd10d6d1709f084f97602,Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World,"Learning to Detect and Track Visible and
+Occluded Body Joints in a Virtual World
+Matteo Fabbri(cid:63), Fabio Lanzi(cid:63), Simone Calderara(cid:63), Andrea Palazzi, Roberto
+Vezzani, and Rita Cucchiara
+Department of Engineering “Enzo Ferrari”
+University of Modena and Reggio Emilia, Italy"

+7bbaa09c9e318da4370a83b126bcdb214e7f8428,"FaaSter, Better, Cheaper: The Prospect of Serverless Scientific Computing and HPC","FaaSter, Better, Cheaper: The Prospect of
+Serverless Scientific Computing and HPC
+Josef Spillner1, Cristian Mateos2, and David A. Monge3
+Zurich University of Applied Sciences, School of Engineering
+Service Prototyping Lab (blog.zhaw.ch/icclab/), 8401 Winterthur, Switzerland
+ISISTAN Research Institute - CONICET - UNICEN
+Campus Universitario, Paraje Arroyo Seco, Tandil (7000), Buenos Aires, Argentina
+ITIC Research Institute, National University of Cuyo
+Padre Jorge Contreras 1300, M5502JMA Mendoza, Argentina"

+7b8aa3ebeae17e5266dac23e87f603a5d5f7b1e3,Open Set Logo Detection and Retrieval,"Open Set Logo Detection and Retrieval
+Andras T¨uzk¨o1, Christian Herrmann1,2, Daniel Manger1, J¨urgen Beyerer1,2
+Fraunhofer IOSB, Karlsruhe, Germany
+Karlsruhe Institute of Technology KIT, Vision and Fusion Lab, Karlsruhe, Germany
+Keywords:
+Logo Detection, Logo Retrieval, Logo Dataset, Trademark Retrieval, Open Set Retrieval, Deep Learning."

+7b1af8cc9c2c43fa9d528bcfb05142d714df3700,"Modeling Shape, Appearance and Motion for Human Movement Analysis",

+7b6f0c4b22aee0cb4987cba9df121d4076fac5a5,On Learning 3D Face Morphable Model from In-the-wild Images,"On Learning 3D Face Morphable Model
+from In-the-wild Images
+Luan Tran, and Xiaoming Liu, Member, IEEE"

+7b9a5d9d7386d47c51cb473f6338988bd6e9f2b1,An Individual-Specific Strategy for Management of Reference Data in Adaptive Ensembles for Person Re-Identification,"An Individual-Specific Strategy for Management of Reference Data
+in Adaptive Ensembles for Person Re-Identification
+Miguel De-la-Torre*†, Eric Granger*, Robert Sabourin*, Dmitry O. Gorodnichy‡
+* ´Ecole de technologie sup´erieure, Universit´e du Qu´ebec, Montr´eal, Canada,
+Centro Universitario de Los Valles, Universidad de Guadalajara, Ameca, M´exico
+Science and Engineering Directorate, Canada Border Services Agency, Ottawa, Canada,
+Keywords: Multi-Classifier Systems; Adaptive Biometrics; Face
+Recognition; Video Surveillance; Person Re-Identification"

+7ba6ac1b769ad7098037c07a5b7399fe9d97fcc8,Moving Object Detection in Heterogeneous Conditions in Embedded Systems,"Article
+Moving Object Detection in Heterogeneous
+Conditions in Embedded Systems
+Alessandro Garbo and Stefano Quer *
+Dipartimento di Automatica ed Informatica, Politecnico di Torino, 10129 Torino, Italy;
+* Correspondence: Tel.: +39-011-090-7076
+Received: 25 May 2017; Accepted: 27 June 2017; Published: 1 July 2017"

+7b9961094d3e664fc76b12211f06e12c47a7e77d,Bridging biometrics and forensics,"Bridging Biometrics and Forensics
+Yanjun Yan and Lisa Ann Osadciw
+EECS, Syracuse University, Syracuse, NY, USA
+{yayan,"

+7b67c38a6f49e02c03e1cea98146a506f607b0d7,Using Facial Symmetry to Handle Pose Variations in Real-World 3D Face Recognition,"Using Facial Symmetry to Handle Pose
+Variations in Real-World 3D Face Recognition
+Georgios Passalis1,2, Panagiotis Perakis1,2, Theoharis Theoharis1,2
+nd Ioannis A. Kakadiaris2, Senior Member, IEEE"

+7b9b3794f79f87ca8a048d86954e0a72a5f97758,Passing an Enhanced Turing Test - Interacting with Lifelike Computer Representations of Specific Individuals,"DOI 10.1515/jisys-2013-0016      Journal of Intelligent Systems 2013; 22(4): 365–415
+Avelino J. Gonzalez*, Jason Leigh, Ronald F. DeMara, Andrew
+Johnson, Steven Jones, Sangyoon Lee, Victor Hung, Luc
+Renambot, Carlos Leon-Barth, Maxine Brown, Miguel Elvir,
+James Hollister and Steven Kobosko
+Passing an Enhanced Turing Test –
+Interacting with Lifelike Computer
+Representations of Specific Individuals"

+7bce4f4e85a3bfcd6bfb3b173b2769b064fce0ed,A Psychologically-Inspired Match-Score Fusion Model for Video-Based Facial Expression Recognition,"A Psychologically-Inspired Match-Score Fusion Model
+for Video-Based Facial Expression Recognition
+Albert Cruz, Bir Bhanu, Songfan Yang,
+VISLab, EBUII-216, University of California Riverside,
+Riverside, California, USA, 92521-0425
+{acruz, bhanu,"

+7b8e9c50f74ce6ca66a8ab61fb18ca31d26cf13f,Nonlinear Channels Aggregation Networks for Deep Action Recognition,"Under review as a conference paper at ICLR 2019
+Nonlinear Channels Aggregation Networks
+for Deep Action Recognition
+Anonymous authors
+Paper under double-blind review"

+7b0f1fc93fb24630eb598330e13f7b839fb46cce,Learning to Find Eye Region Landmarks for Remote Gaze Estimation in Unconstrained Settings,"Learning to Find Eye Region Landmarks for Remote Gaze
+Estimation in Unconstrained Settings
+Seonwook Park
+ETH Zurich
+Xucong Zhang
+MPI for Informatics
+Andreas Bulling
+MPI for Informatics
+Otmar Hilliges
+ETH Zurich"

+7bdcd85efd1e3ce14b7934ff642b76f017419751,Learning Discriminant Face Descriptor,"Learning Discriminant Face Descriptor
+Zhen Lei, Member, IEEE, Matti Pietika¨ inen, Fellow, IEEE, and Stan Z. Li, Fellow, IEEE"

+7b47ca13af16bdc1f4b88e9b68dd3ea52d959199,Online nonparametric discriminant analysis for incremental subspace learning and recognition,"Pattern Anal Applic (2008) 11:259–268
+DOI 10.1007/s10044-008-0131-0
+T H E O R E T I C A L A D V A N C E S
+Online nonparametric discriminant analysis for incremental
+subspace learning and recognition
+B. Raducanu Æ J. Vitria`
+Received: 15 December 2006 / Accepted: 20 January 2008 / Published online: 24 July 2008
+Ó Springer-Verlag London Limited 2008"

+7bcd98ee2df3d14eae7bbed713208cb7da7b5db0,Unsupervised data association for metric learning in the context of multi-shot person re-identification,"Unsupervised data association for Metric Learning in the context of Multi-shot
+Person Re-identification
+Furqan M. Khan, Francois Bremond
+INRIA Sophia Antipolis-Mediterrannee
+004 Route des Lucioles, Sophia Antipolis Cedex, France
+{furqan.khan |"

+7b66dababebd800e95d23a1fde299d44a52e98ed,Dual Recurrent Attention Units for Visual Question Answering,"Under review for Computer Vision and Image Understanding
+DRAU: Dual Recurrent Attention Units for Visual Question Answering
+Ahmed Osmana,, Wojciech Sameka,
+Fraunhofer Heinrich Hertz Institute, Einsteinufer 37, Berlin 10587, Germany"

+7b331c80a91acf3616afd88e78801ac55c874f43,Multiple Player Tracking in Sports Video: A Dual-Mode Two-Way Bayesian Inference Approach With Progressive Observation Modeling,"Multiple Player Tracking in Sports Video: A
+Dual-Mode Two-Way Bayesian Inference Approach
+With Progressive Observation Modeling
+Junliang Xing, Student Member, IEEE, Haizhou Ai, Senior Member, IEEE, Liwei Liu, and
+Shihong Lao, Member, IEEE"

+7b9ebcc8b9c05ef661182fe73438b7725584817d,Restoring effects of oxytocin on the attentional preference for faces in autism,"Citation: Transl Psychiatry (2017) 7, e1097; doi:10.1038/tp.2017.67
+www.nature.com/tp
+ORIGINAL ARTICLE
+Restoring effects of oxytocin on the attentional preference
+for faces in autism
+M Kanat1,2, I Spenthof1,3, A Riedel4, LT van Elst2,4, M Heinrichs1,2 and G Domes1,2,3
+Reduced attentional preference for faces and symptoms of social anxiety are common in autism spectrum disorders (ASDs). The
+neuropeptide oxytocin triggers anxiolytic functions and enhances eye gaze, facial emotion recognition and neural correlates of face
+processing in ASD. Here we investigated whether a single dose of oxytocin increases attention to faces in ASD. As a secondary
+question, we explored the influence of social anxiety on these effects. We tested for oxytocin’s effects on attention to neutral faces
+s compared to houses in a sample of 29 autistic individuals and 30 control participants using a dot-probe paradigm with two
+different presentation times (100 or 500 ms). A single dose of 24 IU oxytocin was administered in a randomized, double-blind
+placebo-controlled, cross-over design. Under placebo, ASD individuals paid less attention to faces presented for 500 ms than did
+ontrols. Oxytocin administration increased the allocation of attention toward faces in ASD to a level observed in controls.
+Secondary analyses revealed that these oxytocin effects primarily occurred in ASD individuals with high levels of social anxiety who
+were characterized by attentional avoidance of faces under placebo. Our results confirm a positive influence of intranasal oxytocin
+on social attention processes in ASD. Further, they suggest that oxytocin may in particular restore the attentional preference for
+facial information in ASD individuals with high social anxiety. We conclude that oxytocin’s anxiolytic properties may partially
+ccount for its positive effects on socio-cognitive functioning in ASD, such as enhanced eye gaze and facial emotion recognition.
+Translational Psychiatry (2017) 7, e1097; doi:10.1038/tp.2017.67; published online 18 April 2017"

+7b3b7769c3ccbdf7c7e2c73db13a4d32bf93d21f,"On the design and evaluation of robust head pose for visual user interfaces: algorithms, databases, and comparisons","On the Design and Evaluation of Robust Head Pose for
+Visual User Interfaces: Algorithms, Databases, and
+Comparisons
+Sujitha Martin
+Laboratory of Intelligent and
+Safe Automobiles
+UCSD - La Jolla, CA, USA
+Ashish Tawari
+Laboratory of Intelligent and
+Safe Automobiles
+UCSD - La Jolla, CA, USA
+Erik Murphy-Chutorian
+Laboratory of Intelligent and
+Safe Automobiles
+UCSD - La Jolla, CA, USA
+Shinko Y. Cheng
+Laboratory of Intelligent and
+Safe Automobiles
+UCSD - La Jolla, CA, USA
+Mohan Trivedi"

+7b358ed87f39a12d737070dc22b4c547ce378648,Color Features for Boosted Pedestrian Detection,"Institutionen för systemteknik
+Department of Electrical Engineering
+Examensarbete
+Color Features for Boosted Pedestrian Detection
+Examensarbete utfört i Datorseende
+vid Tekniska högskolan vid Linköpings universitet
+Niklas Hansson
+LiTH-ISY-EX--15/4899--SE
+Linköping 2015
+Department of Electrical Engineering
+Linköpings universitet
+SE-581 83 Linköping, Sweden
+Linköpings tekniska högskola
+Linköpings universitet
+581 83 Linköping"

+7b2e0c87aece7ff1404ef2034d4c5674770301b2,Discriminative Feature Learning with Foreground Attention for Person Re-Identification,"Discriminative Feature Learning with Foreground
+Attention for Person Re-Identification
+Sanping Zhou, Jinjun Wang, Deyu Meng, Yudong Liang, Yihong Gong, Nanning Zheng"

+7b522c5d6d2d0699c4183a543b8e65b1a66d9e74,Understanding Critical Factors in Appearance-Based Gender Categorization,"Understanding Critical Factors in
+Appearance-based Gender Categorization
+Enrico Grosso, Andrea Lagorio, Luca Pulina, and Massimo Tistarelli
+POLCOMING – University of Sassari
+Viale Mancini, 5 – 07100 Sassari, Italy"

+7b07a87ff71b85f3493d1944034a960917b8482f,Alternating BackPropagation for Generator Network,"Alternating Back-Propagation for Generator Network
+Tian Han†, Yang Lu†, Song-Chun Zhu, and Ying Nian Wu
+Department of Statistics, University of California, Los Angeles, USA"

+7b95bd44db15f7cf20bfc051c353841f3fcea383,Low-Complexity Face Recognition using a Multilevel DWT and Two States of Continuous HMM to recognize Noisy Images,"Low-Complexity Face Recognition using a
+Multilevel DWT and Two States of
+Continuous HMM to recognize Noisy
+Images
+Hameed R. Farhan1, Mahmuod H. Al-Muifraje2, Thamir R. Saeed2
+Department of Electrical and Electronic Engineering, University of Kerbala, Kerbala, Iraq
+Department of Electrical Engineering, University of Technology, Baghdad, Iraq"

+7b83867b7f79cbfbfc71996bcf07fe7ee7a7600c,Object detection through search with a foveated visual system,"Object Detection Through Exploration With A
+Foveated Visual Field
+Emre Akbas, Miguel P. Eckstein"

+8f9fa03690428cde478f1a27d4773f78d857b88f,Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity,"Visual Recognition using Embedded Feature
+Selection for Curvature Self-Similarity
+Angela Eigenstetter
+HCI & IWR, University of Heidelberg
+Bj¨orn Ommer
+HCI & IWR, University of Heidelberg"

+8f6d05b8f9860c33c7b1a5d704694ed628db66c7,Non-linear dimensionality reduction and sparse representation models for facial analysis. (Réduction de la dimension non-linéaire et modèles de la représentations parcimonieuse pour l'analyse du visage),"Non-linear dimensionality reduction and sparse
+representation models for facial analysis
+Yuyao Zhang
+To cite this version:
+Yuyao Zhang. Non-linear dimensionality reduction and sparse representation models for facial analysis.
+Medical Imaging. INSA de Lyon, 2014. English. <NNT : 2014ISAL0019>. <tel-01127217>
+HAL Id: tel-01127217
+https://tel.archives-ouvertes.fr/tel-01127217
+Submitted on 7 Mar 2015
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de
+recherche français ou étrangers, des laboratoires"

+8f05c4c1b3c1ad31ec95ccb87bca24a884b5ad4c,Overhead Detection: Beyond 8-bits and RGB,"Overhead Detection: Beyond 8-bits and RGB
+Eliza Mace1
+Keith Manville1
+Monica Barbu-McInnis1
+Michael Laielli2
+Matthew Klaric2
+Samuel Dooley2
+MITRE,
+NGA,"

+8f772d9ce324b2ef5857d6e0b2a420bc93961196,Facial Landmark Point Localization using Coarse-to-Fine Deep Recurrent Neural Network,"MAHPOD et al.: CFDRNN
+Facial Landmark Point Localization using
+Coarse-to-Fine Deep Recurrent Neural Network
+Shahar Mahpod, Rig Das, Emanuele Maiorana, Yosi Keller, and Patrizio Campisi,"

+8fdfd4c5039cf7d70470a2a3ac52bfd229bcd4e2,Pushing the Limits of Radiology with Joint Modeling of Visual and Textual Information,"Pushing the Limits of Radiology with Joint Modeling of Visual and
+Textual Information
+Department of Computing, Macquarie University1
+Sonit Singh1,2
+DATA61, CSIRO2
+Sydney, Australia"

+8fda2f6b85c7e34d3e23927e501a4b4f7fc15b2a,Feature Selection with Annealing for Big Data Learning,"Feature Selection with Annealing for Big Data
+Learning
+Adrian Barbu, Yiyuan She, Liangjing Ding, Gary Gramajo"

+8fbe68810cbc53521395829620060cf9558231cc,Learning Discriminant Person-Specific Facial Models Using Expandable Graphs,"Learning Discriminant Person-Specific
+Facial Models Using Expandable Graphs
+Stefanos Zafeiriou, Anastasios Tefas, Member, IEEE, and Ioannis Pitas, Fellow, IEEE"

+8fa3478aaf8e1f94e849d7ffbd12146946badaba,Attributes for Classifier Feedback,"Attributes for Classifier Feedback
+Amar Parkash1 and Devi Parikh2
+Indraprastha Institute of Information Technology (Delhi, India)
+Toyota Technological Institute (Chicago, US)"

+8ff3c7b46ab36f1d01e96681baf512859cc80a4d,Dynamics of alpha oscillations elucidate facial affect recognition in schizophrenia.,"Dynamics of alpha oscillations elucidate facial affect
+recognition in schizophrenia
+Tzvetan G. Popov & Brigitte S. Rockstroh & Petia Popova &
+Almut M. Carolus & Gregory A. Miller"

+8f9c37f351a91ed416baa8b6cdb4022b231b9085,Generative Adversarial Style Transfer Networks for Face Aging,"Generative Adversarial Style Transfer Networks for Face Aging
+Sveinn Palsson
+D-ITET, ETH Zurich
+Eirikur Agustsson
+D-ITET, ETH Zurich"

+8f8c0243816f16a21dea1c20b5c81bc223088594,Local Directional Number Based Classification and Recognition of Expressions Using Subspace Methods,

+8f98e1e041e7d3e27397c268e85e815065329d2d,Hierarchical feed forward models for robust object recognition,"Hierarchical Feed-Forward Models for
+Robust Object Recognition
+Ingo Bax
+Der Technischen Fakult¨at der Universit¨at Bielefeld vorgelegt zur Erlangung
+des akademischen Grades Doktor der Ingenieurwissenschaften"

+8fc21217ee89c505930b540b716b11bab89d3bcd,Memory Efficient Nonuniform Quantization for Deep Convolutional Neural Network,"Memory Efficient Nonuniform Quantization for
+Deep Convolutional Neural Network
+Fangxuan Sun and Jun Lin"

+8f5566fa00f8c79f4720e14084489e784688ab0b,The role of the amygdala in atypical gaze on emotional faces in autism spectrum disorders.,"The Journal of Neuroscience, July 11, 2012 • 32(28):9469 –9476 • 9469
+Behavioral/Systems/Cognitive
+The Role of the Amygdala in Atypical Gaze on Emotional
+Faces in Autism Spectrum Disorders
+Dorit Kliemann,1,2,3,4 Isabel Dziobek,2,3 Alexander Hatri,1,2,3 Ju¨rgen Baudewig,2,3 and Hauke R. Heekeren1,2,3,4
+Department of Education and Psychology, 2Cluster of Excellence “Languages of Emotion,” and 3Dahlem Institute for Neuroimaging of Emotion (D.I.N.E),
+Freie Universita¨t Berlin, 14195 Berlin, Germany, and 4Max Planck Institute for Human Development, 14195 Berlin, Germany
+Reduced focus toward the eyes is a characteristic of atypical gaze on emotional faces in autism spectrum disorders (ASD). Along with the
+typical gaze, aberrant amygdala activity during face processing compared with neurotypically developed (NT) participants has been
+repeatedly reported in ASD. It remains unclear whether the previously reported dysfunctional amygdalar response patterns in ASD
+support an active avoidance of direct eye contact or rather a lack of social attention. Using a recently introduced emotion classification
+task, we investigated eye movements and changes in blood oxygen level-dependent (BOLD) signal in the amygdala with a 3T MRI scanner
+in 16 autistic and 17 control adult human participants. By modulating the initial fixation position on faces, we investigated changes
+triggered by the eyes compared with the mouth. Between-group interaction effects revealed different patterns of gaze and amygdalar
+BOLD changes in ASD and NT: Individuals with ASD gazed more often away from than toward the eyes, compared with the NT group,
+which showed the reversed tendency. An interaction contrast of group and initial fixation position further yielded a significant cluster of
+mygdala activity. Extracted parameter estimates showed greater response to eyes fixation in ASD, whereas the NT group showed an
+increase for mouth fixation.
+The differing patterns of amygdala activity in combination with differing patterns of gaze behavior between groups triggered by direct
+eye contact and mouth fixation, suggest a dysfunctional profile of the amygdala in ASD involving an interplay of both eye-avoidance"

+8fb849fe51fbf4b56393cfef26397caef2a22fb0,Public Document Agreed Plans for Open Source Reference Software Document Evolution Executive Summary,"Project N° IST-2002-507634 - BioSecure
+D2.2.1 – Revision: b3
+2 March 2005
+Contract Number :
+Project Acronym :
+Project Title :
+Instrument :
+Start Date of Project :
+Duration :
+Deliverable Number :
+Title of Deliverable :
+Contractual Due Date :
+Actual Date of Completion :
+IST-2002-507634
+BioSecure
+Biometrics for Secure Authentication
+Network of Excellence
+01 June, 2004
+6 months
+D2.2.1"

+8f2e83f6d70b9e161ad714fee79ed6d23ae2a93f,Image Intelligent Detection Based on the Gabor Wavelet and the Neural Network,"Article
+Image Intelligent Detection Based on the Gabor
+Wavelet and the Neural Network
+Yajun Xu 1, Fengmei Liang 1,*, Gang Zhang 1 and Huifang Xu 2
+College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, China;
+(Y.X.); (G.Z.)
+Daqin Railway Co. Ltd., Taiyuan Railway Administration, Taiyuan 030013, China;
+* Correspondence: Tel.: +86-186-0341-0966
+Academic Editor: Angel Garrido
+Received: 21 September 2016; Accepted: 11 November 2016; Published: 15 November 2016"

+8f3e3f0f97844d3bfd9e9ec566ac7a54f6931b09,"A Survey on Human Emotion Recognition Approaches, Databases and Applications","Electronic Letters on Computer Vision and Image Analysis 14(2):24-44; 2015
+A Survey on Human Emotion Recognition Approaches,
+Databases and Applications
+C.Vinola*, K.Vimaladevi†
+* Department of Computer Science and Engineering, Francis Xavier Engineering College, Tirunelveli,Tamilnadu,India
+Department of Computer Science and Engineering, P.S.R Engineering College, Sivakasi, Tamilnadu,India
+Received 7th Aug 2015; accepted 30th Nov 2015"

+8fc730d22f33d08be927e5449f359dc15b5c3503,Measuring and modeling the perception of natural and unconstrained gaze in humans and machines,"CBMM Memo No. 059
+November 28, 2016
+Measuring and modeling the perception of natural
+nd unconstrained gaze in humans and machines
+Daniel Harari*, Tao Gao*, Nancy Kanwisher, Joshua Tenenbaum, Shimon
+Ullman"

+8f89aed13cb3555b56fccd715753f9ea72f27f05,Attended End-to-end Architecture for Age Estimation from Facial Expression Videos,"Attended End-to-end Architecture for Age
+Estimation from Facial Expression Videos
+Wenjie Pei, Hamdi Dibeklio˘glu, Member, IEEE, Tadas Baltruˇsaitis and David M.J. Tax"

+8fcdeda0c2f4e265e2180eb5ed39f6548ae3ba99,A Generic Middle Layer for Image Understanding,"UNIVERSIT ¨AT HAMBURG
+A Generic Middle Layer for Image
+Understanding
+Kasim Terzi´c
+Doktorarbeit
+Fakult¨at f¨ur Mathematik, Informatik und Naturwissenschaften
+Fachbereich Informatik"

+8fe7354a92b4c74c22dc0a253dfe7320487d22ab,Literature Survey on Sparse Representation for Neural Network Based Face Detection and Recognition,"Circuits and Systems: An International Journal (CSIJ), Vol. 1, No.2, April 2014
+LITERATURE SURVEY ON SPARSE
+REPRESENTATION FOR NEURAL
+NETWORK BASED FACE DETECTION AND
+RECOGNITION
+Raviraj Mane,Poorva Agrawal,
+Nisha Auti CS Department SIT, Pune"

+8fe43144c0ff36ffefca869eec0a63e71ca02049,1D correlation filter based class-dependence feature analysis for face recognition,"This article appeared in a journal published by Elsevier. The attached
+opy is furnished to the author for internal non-commercial research
+nd education use, including for instruction at the authors institution
+nd sharing with colleagues.
+Other uses, including reproduction and distribution, or selling or
+licensing copies, or posting to personal, institutional or third party
+websites are prohibited.
+In most cases authors are permitted to post their version of the
+rticle (e.g. in Word or Tex form) to their personal website or
+institutional repository. Authors requiring further information
+regarding Elsevier’s archiving and manuscript policies are
+encouraged to visit:
+http://www.elsevier.com/copyright"

+8f4c8a80e94a883356ee4c4425324dac5457661a,Noise Robust Face Image Super-Resolution Through Smooth Sparse Representation,"This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.
+Noise Robust Face Image Super-Resolution
+Through Smooth Sparse Representation
+Junjun Jiang, Member, IEEE, Jiayi Ma, Member, IEEE, Chen Chen, Xinwei Jiang, and Zheng Wang"

+8fd9c22b00bd8c0bcdbd182e17694046f245335f,Recognizing Facial Expressions in Videos,"Recognizing Facial Expressions in Videos
+Lin Su, Matthew Balazsi"

+8f2e594f55ca1b1675d8bfef25922c97109cb599,An evil face? Verbal evaluative multi-CS conditioning enhances face-evoked mid-latency magnetoencephalographic responses,"Social Cognitive and Affective Neuroscience, 2017, 695–705
+doi: 10.1093/scan/nsw179
+Advance Access Publication Date: 22 December 2016
+Original article
+An evil face? Verbal evaluative multi-CS conditioning
+enhances face-evoked mid-latency magnetoencephalo-
+graphic responses
+Markus Jungho¨ fer,1,2 Maimu Alissa Rehbein,1,2 Julius Maitzen,1
+Sebastian Schindler,3,4 and Johanna Kissler3,4
+Institute for Biomagnetism and Biosignalanalysis, University Hospital Mu¨ nster, Mu¨ nster D-48149, Germany,
+Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Mu¨ nster, Mu¨ nster D-48151,
+Germany, 3Department of Psychology, Affective Neuropsychology Unit and 4Center of Excellence Cognitive
+Interaction Technology (CITEC), University of Bielefeld, Bielefeld D-33501, Germany
+Correspondence should be addressed to Johanna Kissler, Department of Psychology, Affective Neuropsychology Unit, University of Bielefeld, Bielefeld
+D-33501, Germany. E-mail:"

+8f0c11a3332c434af11c01ee11ff7c492c7968da,Domain Adaptive Faster R-CNN for Object Detection in the Wild,"Domain Adaptive Faster R-CNN for Object Detection in the Wild
+Yuhua Chen1 Wen Li1 Christos Sakaridis1 Dengxin Dai1
+Luc Van Gool1,2
+Computer Vision Lab, ETH Zurich
+VISICS, ESAT/PSI, KU Leuven"

+8a12ee3c98b76d99531d5965f15bb77a10ec2569,Holistic Face Recognition through Multivariate Analysis and Genetic Algorithms,"Holistic Face Recognition through Multivariate Analysis and Genetic
+Algorithms"

+8a4119c2898f611a6ffa0b4b72acf322d1b455b1,A Diagram is Worth a Dozen Images,"A Diagram Is Worth A Dozen Images
+Aniruddha Kembhavi†, Mike Salvato†(cid:63), Eric Kolve†(cid:63), Minjoon Seo§,
+Hannaneh Hajishirzi§, Ali Farhadi†§
+Allen Institute for Artificial Intelligence, §University of Washington"

+8a91cb96dd520ba3e1f883aa6d57d4d716c5d1c8,Low Cost Eye Tracking: The Current Panorama,"Hindawi Publishing Corporation
+Computational Intelligence and Neuroscience
+Volume 2016, Article ID 8680541, 14 pages
+http://dx.doi.org/10.1155/2016/8680541
+Review Article
+Low Cost Eye Tracking: The Current Panorama
+Onur Ferhat1,2 and Fernando Vilariño1,2
+Computer Vision Center, Edifici O, Campus UAB, 08193 Bellaterra, Spain
+Computer Science Department, Universitat Aut`onoma de Barcelona, Edifici Q, Campus UAB, 08193 Bellaterra, Spain
+Correspondence should be addressed to Onur Ferhat;
+Received 27 November 2015; Accepted 18 February 2016
+Academic Editor: Ying Wei
+Copyright © 2016 O. Ferhat and F. Vilari˜no. This is an open access article distributed under the Creative Commons Attribution
+License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly
+ited.
+Despite the availability of accurate, commercial gaze tracker devices working with infrared (IR) technology, visible light gaze
+tracking constitutes an interesting alternative by allowing scalability and removing hardware requirements. Over the last years, this
+field has seen examples of research showing performance comparable to the IR alternatives. In this work, we survey the previous
+work on remote, visible light gaze trackers and analyze the explored techniques from various perspectives such as calibration
+strategies, head pose invariance, and gaze estimation techniques. We also provide information on related aspects of research such"

+8a29378973987bdb040f35349d1c5a86a538c0fc,Hierarchical Temporal Memory Using Memristor Networks: A Survey,"Hierarchical Temporal Memory using Memristor
+Networks: A Survey
+Olga Krestinskaya, Graduate Student Member, IEEE, Irina Dolzhikova, Graduate Student Member, IEEE, and
+Alex Pappachen James, Senior Member, IEEE"

+8a14dfe0e11e03505db9c0d84bce96f165223cae,Learning from Demonstration in the Wild,"Learning from Demonstration in the Wild
+Feryal Behbahani1, Kyriacos Shiarlis1, Xi Chen1, Vitaly Kurin1,2, Sudhanshu Kasewa1,2, Ciprian Stirbu1,2,
+Jo˜ao Gomes1, Supratik Paul1,2, Frans A. Oliehoek1,3, Jo˜ao Messias1, Shimon Whiteson1,2"

+8a382f000f98cdab7f7b79e543c75c6b8f93b6f9,Learning Semantic Image Representations at a Large Scale,"Learning Semantic Image Representations at a Large
+Scale
+Yangqing Jia
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2014-93
+http://www.eecs.berkeley.edu/Pubs/TechRpts/2014/EECS-2014-93.html
+May 16, 2014"

+8ab183883acba0501c3315a914aee755b5e517d8,Synthesis-based Robust Low Resolution Face Recognition,"IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. X, NO. X, MONTH 20XX
+Synthesis-based Robust Low Resolution Face
+Recognition
+Sumit Shekhar, Student Member, IEEE, Vishal M. Patel, Member, IEEE, and Rama Chellappa, Fellow, IEEE"

+8ad407142de84b66144029845587c77ae94fd240,Multi-class speed-density relationship for pedestrian traffic,"Multi-class speed-density relationship for
+pedestrian traffic
+Marija Nikoli´c ∗
+Matthieu de Lapparent ∗
+Michel Bierlaire ∗
+Riccardo Scarinci ∗
+January 15, 2017
+Report TRANSP-OR 170115
+Transport and Mobility Laboratory
+School of Architecture, Civil and Environmental Engineering
+Ecole Polytechnique Fédérale de Lausanne
+transp-or.epfl.ch
+Transport and Mobility Laboratory, School of Architecture, Civil and Environmental Engi-
+neering, École Polytechnique Fédérale de Lausanne, Switzerland,
+{marija.nikolic, michel.bierlaire, matthieu.delapparent,"

+8aac66d15e0903257ec3abe6f126bf6316779011,Constructive Autoassociative Neural Network for Facial Recognition,"RESEARCH ARTICLE
+Constructive Autoassociative Neural
+Network for Facial Recognition
+Bruno J. T. Fernandes1*, George D. C. Cavalcanti2, Tsang I. Ren2
+. Escola Polite´ cnica, Universidade de Pernambuco, Recife-PE, Brazil, 2. Centro de Informa´ tica,
+Universidade Federal de Pernambuco, Recife-PE, Brazil"

+8acdc4be8274e5d189fb67b841c25debf5223840,Improving clustering performance using independent component analysis and unsupervised feature learning,"Gultepe and Makrehchi
+Hum. Cent. Comput. Inf. Sci.  (2018) 8:25
+https://doi.org/10.1186/s13673-018-0148-3
+RESEARCH
+Improving clustering performance
+using independent component analysis
+nd unsupervised feature learning
+Open Access
+Eren Gultepe* and Masoud Makrehchi
+*Correspondence:
+Department of Electrical
+nd Computer Engineering,
+University of Ontario Institute
+of Technology, 2000 Simcoe
+St N, Oshawa, ON L1H 7K4,
+Canada"

+8ad4742e656c409e5a813c1a6d5f21fd2e3a9225,A Novel Algorithm for Face Recognition From Very Low Resolution Images,"J Electr Eng Technol Vol. 10, No. ?: 742-?, 2015
+http://dx.doi.org/10.5370/JEET.2015.10.1.742
+ISSN(Print)    1975-0102
+ISSN(Online)  2093-7423
+A Novel Algorithm for Face Recognition From Very Low Resolution
+Images
+C. Senthilsingh† and M. Manikandan*"

+8ac074829b55bb6b4c67f062ca9ec62bb79f865f,Person re-identification based on deep multi-instance learning,"Person Re-identification based on Deep
+Multi-instance Learning
+Domonkos Varga∗†, Tam´as Szir´anyi∗‡
+MTA SZTAKI, Institute for Computer Science and Control
+{varga.domonkos,
+Budapest University of Technology and Economics, Department of Networked Systems and Services
+Budapest University of Technology and Economics, Department of Material Handling and Logistics Systems"

+8a7726e58c2e24b0a738b48ae35185aaaacb8fe9,PILOT ASSESSMENT OF NONVERBAL PRAGMATIC ABILITY IN PEOPLE WITH ASPERGER SYNDROME Introduction,"Psychology of Language and Communication 2013, Vol. 17, No. 3
+DOI: 10.2478/plc-2013-0018
+FRANCISCO J. RODRÍGUEZ MUÑOZ
+University of Almería
+PILOT ASSESSMENT OF NONVERBAL PRAGMATIC ABILITY
+IN PEOPLE WITH ASPERGER SYNDROME
+The purpose of this study is to present a diagnostic tool to assess the nonverbal pragmatic
+ehaviors of people with Asperger syndrome, with the intent to give an account of the
+severity of symptoms in the area of nonverbal interaction, as well as providing a profile
+of nonverbal behaviors that may be targeted for intervention. Through this communica-
+tion profile, overall nonverbal ability is calculated in a group of 20 subjects with Asperger
+syndrome. The proposed scale also includes the measurement of the following nonverbal
+dimensions: (1) eye gaze, (2) facial expression, (3) body language and posture, (4) proxemics,
+(5) gestures, and (6) paralanguage. The results of this assessment suggest low nonverbal
+pragmatic ability in these subjects, show specific deficits in nonverbal communication, and
+apture variability in nonverbal behavior in individuals with AS.
+Key words: Asperger syndrome, autism spectrum disorders, communication profile, non-
+verbal communication, pragmatic assessment, speech-language pathology
+Introduction
+Nobody can deny that nonverbal behavior, understood as a communication"

+8a54f8fcaeeede72641d4b3701bab1fe3c2f730a,What do you think of my picture? Investigating factors of influence in profile images context perception,"What do you think of my picture? Investigating factors
+of influence in profile images context perception
+Filippo Mazza, Matthieu Perreira da Silva, Patrick Le Callet, Ingrid
+Heynderickx
+To cite this version:
+Filippo Mazza, Matthieu Perreira da Silva, Patrick Le Callet, Ingrid Heynderickx. What do you
+think of my picture? Investigating factors of influence in profile images context perception. Human
+Vision and Electronic Imaging XX, Mar 2015, San Francisco, United States. Proc. SPIE 9394, Hu-
+man Vision and Electronic Imaging XX, 9394, <http://spie.org/EI/conferencedetails/human-vision-
+electronic-imaging>. <10.1117/12.2082817>. <hal-01149535>
+HAL Id: hal-01149535
+https://hal.archives-ouvertes.fr/hal-01149535
+Submitted on 7 May 2015
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est"

+8aae23847e1beb4a6d51881750ce36822ca7ed0b,Comparison Between Geometry-Based and Gabor-Wavelets-Based Facial Expression Recognition Using Multi-Layer Perceptron,"Comparison Between Geometry-Based and Gabor-Wavelets-Based
+Facial Expression Recognition Using Multi-Layer Perceptron
+Zhengyou Zhang
+Shigeru Akamatsu
+ Michael Lyons
+
+ ATR Interpreting Telecommunications Research Laboratories
+-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-02, Japan
+INRIA, 2004 route des Lucioles, BP 93, F-06902 Sophia-Antipolis Cedex, France
+e-mail:"

+8aa6c3601924c99ca420c7c37ffcffe00db1eb78,3D facial expression recognition via multiple kernel learning of Multi-Scale Local Normal Patterns,"1st International Conference on Pattern Recognition (ICPR 2012)
+November 11-15, 2012. Tsukuba, Japan
+978-4-9906441-0-9 ©2012 ICPR"

+8a866bc0d925dfd8bb10769b8b87d7d0ff01774d,WikiArt Emotions: An Annotated Dataset of Emotions Evoked by Art,"WikiArt Emotions: An Annotated Dataset of Emotions Evoked by Art
+Saif M. Mohammad and Svetlana Kiritchenko
+National Research Council Canada"

+8ab16c26678245ef009cbbf87d750cfd18e21572,A Wearable Ultrasonic Obstacle Sensor for Aiding Visually Impaired and Blind Individuals,"A Wearable Ultrasonic Obstacle Sensor for Aiding Visually Impaired and Blind Individuals
+{tag}                                                                                   {/tag}
+IJCA Proceedings on National Conference on
+Growth of Technologies in Electronics, Telecom and Computers - India Perception
+© 2014 by IJCA Journal
+GTETC-IP
+Year of Publication: 2014
+Authors:
+V.  Diana Earshia
+S.  M.  Kalaivanan
+Angel Dayana
+{bibtex}gtetc1314.bib{/bibtex}"

+8af0854c652c90d4004e1868bc5fafec3e4ce724,Labelling the Behaviour of Local Descriptors for Selective Video Content Retrieval,"INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE
+Labelling the Behaviour of Local Descriptors for
+Selective Video Content Retrieval
+Julien Law-To — Valerie Gouet-Brunet — Olivier Buisson — Nozha Boujemaa
+N° 5821
+January 2006
+Thème COG
+p p o r t  (cid:13)
+(cid:13) d e  r e c h e r c h e (cid:13)"

+8aaa97c686c60f611fe5a979d9afbc29dde3d33f,Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent,"Published as a conference paper at ICLR 2018
+MASTERING THE DUNGEON: GROUNDED LANGUAGE
+LEARNING BY MECHANICAL TURKER DESCENT
+Zhilin Yang, Saizheng Zhang, Jack Urbanek, Will Feng, Alexander H. Miller
+Arthur Szlam, Douwe Kiela & Jason Weston
+Facebook AI Research"

+8a77025bde5479a1366bb93c6f2366b5a6293720,Sharp Attention Network via Adaptive Sampling for Person Re-identification,"IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. XX, NO. XX, XX 2018
+Sharp Attention Network via Adaptive Sampling
+for Person Re-identification
+Chen Shen, Guo-Jun Qi, Member, IEEE, Rongxin Jiang, Zhongming Jin, Hongwei Yong, Yaowu Chen,
+nd Xian-Sheng Hua, Fellow, IEEE"

+8a2ed61448d9e41295753f5bd0a662ac28373e6f,Domain-Specific Face Synthesis for Video Face Recognition From a Single Sample Per Person,"Domain-Specific Face Synthesis for Video Face
+Recognition From a Single Sample Per Person
+Fania Mokhayeri
+, Student Member, IEEE, Eric Granger
+, Member, IEEE,
+nd Guillaume-Alexandre Bilodeau , Member, IEEE"

+8ac2736683dac9a467602ee19f5a290096259148,HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection,"HyperNet: Towards Accurate Region Proposal Generation
+nd Joint Object Detection
+Tao Kong1
+Anbang Yao2 Yurong Chen2 Fuchun Sun1
+State Key Lab. of Intelligent Technology and Systems
+Tsinghua National Laboratory for Information Science and Technology (TNList)
+Department of Computer Science and Technology, Tsinghua University 2Intel Labs China
+{anbang.yao,"

+8aea75940c90fac8c1e5d7ece7d04a61555c3bf6,Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN,

+8adb2fcab20dab5232099becbd640e9c4b6a905a,Beyond Euclidean Eigenspaces: Bayesian Matching for Visual Recognition,"Beyond Euclidean Eigenspaces:
+Bayesian Matching for Visual Recognition
+Baback Moghaddam
+Alex Pentland
+Mitsubishi Electric Research Laboratory
+MIT Media Laboratory
+
+
+Cambridge, MA 
+Cambridge, MA 
+8a0538eb80b5d41c0e5991aceeef47db01603033,Proposal Flow: Semantic Correspondences from Object Proposals,"Proposal Flow: Semantic Correspondences from
+Object Proposals
+Bumsub Ham, Member, IEEE, Minsu Cho, Cordelia Schmid, Fellow, IEEE and Jean Ponce, Fellow, IEEE"

+8aa5f1b2639da73c2579ea9037a4ebf4579fdc4f,A Steerable multitouch Display for Surface Computing and its Evaluation,"December
+S0218213013600166
+013 14:51 WSPC/INSTRUCTION
+st Reading
+International Journal on Artificial Intelligence Tools
+Vol. 22, No. 6 (2013) 1360016 (29 pages)
+(cid:13) World Scientific Publishing Company
+DOI: 10.1142/S0218213013600166
+A STEERABLE MULTITOUCH DISPLAY FOR SURFACE
+COMPUTING AND ITS EVALUATION
+PANAGIOTIS KOUTLEMANIS, ANTONIOS NTELIDAKIS, XENOPHON ZABULIS,
+DIMITRIS GRAMMENOS and ILIA ADAMI
+Foundation for Research and Technology – Hellas (FORTH )
+Institute of Computer Science, N. Plastira 100
+Vassilika Vouton, GR-700 13 Heraklion, Crete, Greece
+{koutle, ntelidak, zabulis, grammenos,
+Received 28 January 2013
+Accepted 19 March 2013
+Published 20 December 2013
+In this paper, a steerable, interactive projection display that has the shape of a disk is"

+8abfda3c1e1599bed454661f15ee0bbe7f6b8c12,Who is Mistaken?,"Who is Mistaken?
+Benjamin Eysenbach
+Carl Vondrick
+Antonio Torralba"

+8ae02cef563120be51f8655e199a54af856059b7,Three-Dimensional Anthropometric Database of Attractive Caucasian Women: Standards and Comparisons,"SCIENTIFIC FOUNDATION
+Three-Dimensional Anthropometric Database of
+Attractive Caucasian Women: Standards
+nd Comparisons
+Luigi Maria Galantucci, PhD, MSE,
+Alberto Laino, PhD, DS,
+Eliana Di Gioia, DS, MD,§jj Raoul D’Alessio, DS, MD,ô Fulvio Lavecchia, PhD, MSE,#
+Roberto Deli, PhD, DS,
+Gianluca Percoco, PhD, MSE,# and Carmela Savastano, DS, MD"

+8afe84f915d3dbc45c57011e62f5dbf9003dfb4c,Adaptive Binary Quantization for Fast Nearest Neighbor Search,"Adaptive Binary Quantization for Fast Nearest Neighbor
+Search
+Zhujin Li1 and Xianglong Liu∗2 and Junjie Wu3 and Hao Su4"

+8a91ad8c46ca8f4310a442d99b98c80fb8f7625f,2D Segmentation Using a Robust Active Shape Model With the EM Algorithm,"D Segmentation Using a Robust Active
+Shape Model With the EM Algorithm
+Carlos Santiago, Jacinto C. Nascimento, Member, IEEE, and Jorge S. Marques"

+8a2bd5dbcf0ab0130dfb97e2a035e5722aa9319e,NLP EAC Recognition by Component Separation in the Eye Region,"NLP EAC Recognition by Component
+Separation in the Eye Region
+Ruxandra Vrˆanceanu, Corneliu Florea, Laura Florea and Constantin Vertan
+The Image Processing and Analysis Laboratory (LAPI), Politehnica University of
+Bucharest, Romania"

+8aed6ec62cfccb4dba0c19ee000e6334ec585d70,Localizing and Visualizing Relative Attributes,"Localizing and Visualizing Relative Attributes
+Fanyi Xiao and Yong Jae Lee"

+8a336e9a4c42384d4c505c53fb8628a040f2468e,Detecting Visually Observable Disease Symptoms from Faces,"Wang and Luo EURASIP Journal on Bioinformatics
+nd Systems Biology  (2016) 2016:13
+DOI 10.1186/s13637-016-0048-7
+R ES EAR CH
+Detecting Visually Observable Disease
+Symptoms from Faces
+Kuan Wang* and Jiebo Luo
+Open Access"

+8a56adc9605a894c513537f1a2c8d9459573c0a8,Running head: EFFECT OF IDENTITY ON TRUST LEARNING 1 Incidental learning of trust from eye-gaze: Effects of race and facial trustworthiness,"This is an author produced version of Incidental learning of trust from eye-gaze: Effects of
+race and facial trustworthiness.
+White Rose Research Online URL for this paper:
+http://eprints.whiterose.ac.uk/119885/
+Article:
+Strachan, James, Kirkham, Alexander James orcid.org/0000-0001-9286-9448, Manssuer,
+Luis et al. (2 more authors) (2017) Incidental learning of trust from eye-gaze: Effects of
+race and facial trustworthiness. VISUAL COGNITION. pp. 1-13. ISSN 1350-6285
+https://doi.org/10.1080/13506285.2017.1338321
+promoting access to
+White Rose research papers
+http://eprints.whiterose.ac.uk/"

+7e8edc45fa80cb0f7bc2c20e8eb893dcadde2c8c,Combining Speeded-up Robust Features with Principal Component Analysis in Face Recognition System,"International Journal of Innovative
+Computing, Information and Control
+Volume 8, Number 12, December 2012
+ICIC International c(cid:13)2012 ISSN 1349-4198
+pp. 8545{8556
+COMBINING SPEEDED-UP ROBUST FEATURES WITH PRINCIPAL
+COMPONENT ANALYSIS IN FACE RECOGNITION SYSTEM
+Shinfeng D. Lin(cid:3), Bo-Feng Liu and Jia-Hong Lin
+Department of Computer Science and Information Engineering
+National Dong Hwa University
+No. 1, Sec. 2, Da Hsueh Rd., Shoufeng, Hualien 97401, Taiwan
+Corresponding author:
+(cid:3)
+Received October 2011; revised March 2012"

+7ed9913de03dd2990b68751842306c2636852647,VQABQ: Visual Question Answering by Basic Questions,"VQABQ: Visual Question Answering by Basic Questions
+Jia-Hong Huang
+King Abdullah University of Science and Technology
+{jiahong.huang, modar.alfadly,
+Modar Alfadly
+Bernard Ghanem"

+7e53ab07d0ce28484830329036a1fc018b9644dd,Online multiple people tracking-by-detection in crowded scenes,"Journal of Advances in Computer Engineering and Technology, 1(2) 2015
+Online multiple people tracking-by-detection in
+rowded scenes
+Sahar Rahmatian1, Reza Safabakhsh2
+Received (2015-01-23)
+Accepted (2015-03-19)"

+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
+Signal Processing Laboratory (LTS5)
+´Ecole Polytechnique F´ed´erale de Lausanne,
+Switzerland
+nViso SA
+Lausanne, Switzerland"

+7ef0cc4f3f7566f96f168123bac1e07053a939b2,Triangular Similarity Metric Learning: a Siamese Architecture Approach. ( L'apprentissage de similarité triangulaire en utilisant des réseaux siamois),"Triangular Similarity Metric Learning: a Siamese
+Architecture Approach
+Lilei Zheng
+To cite this version:
+Lilei Zheng. Triangular Similarity Metric Learning: a Siamese Architecture Approach. Com-
+puter Science [cs]. UNIVERSITE DE LYON, 2016. English. <NNT : 2016LYSEI045>. <tel-
+01314392>
+HAL Id: tel-01314392
+https://hal.archives-ouvertes.fr/tel-01314392
+Submitted on 11 May 2016
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+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"

+7e5414277148c8fdf9903068b001887225b69868,Perceptive Parallel Processes Coordinating Geometry and Texture,"Perceptive Parallel Processes Coordinating Geometry and Texture
+Marco A. Gutierrez1, Rafael E. Banchs2 and Luis F. D'Haro2"

+7e7e4af2a79288fd2e391020edff8552ea1ece9a,Trimming Prototypes of Handwritten Digit Images with Subset Infinite Relational Model,"Trimming Prototypes of Handwritten Digit
+Images with Subset Infinite Relational Model
+Tomonari Masada1 and Atsuhiro Takasu2
+Nagasaki University, 1-14 Bunkyo-machi, Nagasaki-shi, Nagasaki, 852-8521 Japan,
+National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo, 101-8430
+Japan,"

+7e79c3a92f60c55a6970f89acfa152bcf74823e0,Face Recognition using FSS-DSOP for Small Sample Size Problem with Illumination Variations,"Int. J. Advance. Soft Comput. Appl., Vol. 1, No. 2, November 2009
+ISSN 2074-8523; Copyright © ICSRS Publication, 2009
+www.i-csrs.org
+Face Recognition using FSS-DSOP for Small
+Sample Size Problem with Illumination
+Variations
+Ganesh Bhat, K.K. Achary
+Canara Engineering College,Department of Electronics, India"

+7ebc96b4b7886b263808c2cd62b21158ebf6297c,"Crowd Motion Analysis: Segmentation, Anomaly Detection, and Behavior Classification","CROWD MOTION ANALYSIS:
+SEGMENTATION, ANOMALY
+DETECTION, AND BEHAVIOR
+CLASSIFICATION
+Habib Ullah
+Advisor: Nicola Conci, PhD
+February 2015"

+7e7b4b4a84c2aa0ee69b5cea3a4da7f62a0a37d5,GraSp: Combining Spatially-aware Mobile Devices and a Display Wall for Graph Visualization and Interaction,"Eurographics Conference on Visualization (EuroVis) 2017
+J. Heer, T. Ropinski and J. van Wijk
+(Guest Editors)
+Volume 36 (2017), Number 3
+GRASP: Combining Spatially-aware Mobile Devices
+nd a Display Wall for Graph Visualization and Interaction
+U. Kister1, K. Klamka1, C. Tominski2 and R. Dachselt1
+Interactive Media Lab Dresden, Technische Universität Dresden, Germany
+Institute for Computer Science, University of Rostock, Germany
+Figure 1: Mobile devices support graph visualization and interaction on wall-sized displays close to the display wall and further away (A).
+The GRASP system provides a mobile toolbox with selections, alternative representations, lenses, and filtering close to the user (B)."

+7ee53d931668fbed1021839db4210a06e4f33190,What If We Do Not have Multiple Videos of the Same Action? &#x2014; Video Action Localization Using Web Images,"What if we do not have multiple videos of the same action? —
+Video Action Localization Using Web Images
+Center for Research in Computer Vision (CRCV), University of Central Florida (UCF)
+Waqas Sultani, Mubarak Shah"

+7e9df45ece7843fe050033c81014cc30b3a8903a,Audio-visual intent-to-speak detection for human-computer interaction,"AUDIO-VISUAL INTENT-TO-SPEAK DETECTION FOR HUMAN-COMPUTER
+INTERACTION
+Philippe de Cuetos
+Institut Eurecom
+	, route des Cr^etes, BP 
	
+
+Chalapathy Neti, Andrew W. Senior
+IBM T.J. Watson Research Center
+Yorktown Heights, NY 

+cneti,aws"

+7ebd323ddfe3b6de8368c4682db6d0db7b70df62,Location-based Face Recognition Using Smart Mobile Device Sensors,"Proceedings of the International Conference on Computer and Information Science and Technology
+Ottawa, Ontario, Canada, May 11 – 12, 2015
+Paper No. 111
+Location-based Face Recognition Using Smart Mobile Device
+Sensors
+Nina Taherimakhsousi, Hausi A. Müller
+Department of Computer Science
+University of Victoria, Victoria, Canada"

+7e3693fffef8d83ac109309a77f2545d32c10fc3,The effect of Ramadan fasting on spatial attention through emotional stimuli,"Psychology Research and Behavior Management
+Open access Full Text article
+Dovepress
+open access to scientific and medical research
+O Ri g i n a l   R e s e aRc h
+The effect of Ramadan fasting on spatial attention
+through emotional stimuli
+Maziyar Molavi
+Jasmy Yunus
+nugraha P Utama
+Department of clinical  sciences,
+Faculty of Biosciences and Medical
+engineering (FBMe), Universiti
+Teknologi Malaysia (UTM), Johor
+Bahru, Johor, Malaysia
+orrespondence: nugraha P Utama
+Department of clinical sciences, Faculty
+of Biosciences and Medical engineering,
+Universiti Teknologi Malaysia (UTM),
+81310 Johor Bahru, Johor, Malaysia"

+7e59d2d3416537dd958ff71b7a0bff87e639dad9,Feature-Based Pose Estimation,"Feature-based Pose Estimation
+Cristian Sminchisescu1,2, Liefeng Bo3, Catalin Ionescu4, Atul Kanaujia5"

+7ea7c073d13e80ec5015f41f1d57f0674502cc5e,An Implementation of Face Emotion Identification System using Active Contour Model and PCA,"IJSRD - International Journal for Scientific Research & Development| Vol. 3, Issue 04, 2015 | ISSN (online): 2321-0613
+An Implementation of Face Emotion Identification System using Active
+Contour Model and PCA
+Namita Rathore1 Mr.Rohit Miri2
+P.G. Student 2Assistant Professor
+,2Department of Computer Science and Engineering
+,2DR C V Raman Institute of Science and Technology Kota, bilaspur
+systems,
+surveillance"

+7e463877264e70d53c844cf4b1bf3b15baec8cfb,ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks,"ReNet: A Recurrent Neural Network Based
+Alternative to Convolutional Networks
+Francesco Visin(cid:63)
+Politecnico di Milano
+Kyle Kastner(cid:63)
+University of Montreal
+Kyunghyun Cho(cid:63)
+University of Montreal
+Matteo Matteucci
+Politecnico di Milano
+Aaron Courville
+University of Montreal
+Yoshua Bengio
+University of Montreal
+CIFAR Senior Fellow"

+7ed6ff077422f156932fde320e6b3bd66f8ffbcb,State of 3D Face Biometrics for Homeland Security Applications,"State of 3D Face Biometrics for Homeland Security Applications
+Anshuman Razdan1, Gerald Farin2, Myung Soo-Bae3 and Mahesh
+Chaudhari4"

+7e3b5d30b83a20c7cffdacf53b3ffbaf81002b54,People Transitioning Across Places: A Multimethod Investigation of How People Go to Football Games,"12589 EABXXX10.1177/0013916511412589
+© The Author(s) 2011
+Reprints and permission: http://www.
+sagepub.com/journalsPermissions.nav
+Environment and Behavior
+XX(X) 1 –28
+© 2011 SAGE Publications
+Reprints and permission: http://www.
+sagepub.com/journalsPermissions.nav
+DOI: 10.1177/0013916511412589
+http://eab.sagepub.com
+People Transitioning
+Across Places:  A
+Multimethod
+Investigation of
+How People Go to
+Football Games
+R. Barry Ruback1, Robert T. Collins1,
+Sarah Koon-Magnin1, Weina Ge2,
+Luke Bonkiewicz1, and Clifford E. Lutz1"

+7e654380bd0d1f4c00e85da71a3081d3ada432ef,Mgan: Training Generative Adversarial Nets,"Under review as a conference paper at ICLR 2018
+MGAN: TRAINING GENERATIVE ADVERSARIAL NETS WITH
+MULTIPLE GENERATORS
+Anonymous authors
+Paper under double-blind review"

+7ed5dca8725d59714d61ef8e1a14cc4b71c56d3f,Face Sketch to Photo Matching Using LFDA and Pre-Processing,"International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Impact Factor (2012): 3.358
+Face Sketch to Photo Matching Using LFDA and
+Pre-Processing
+Pushpa Gopal Ambhore1, Lokesh Bijole2
+Research Scholar, 2Assistant professor, Computer Engineering Department,
+Padm. Dr. V. B. Kolte College of Engineering, Malkapur, Maharashtra, India"

+7e25544be9ba701c8cf02c841e0bbadb36fa0e29,Zero-Shot Visual Recognition using Semantics-Preserving Adversarial Embedding Network,"Zero-Shot Visual Recognition using Semantics-Preserving
+Adversarial Embedding Networks
+Long Chen1 Hanwang Zhang2
+Jun Xiao1∗ Wei Liu3
+Shih-Fu Chang4
+Zhejiang University 2Nanyang Technological University 3Tencent AI Lab 4Columbia University
+{longc, {wliu,
+Figure 1: (a) Attribute variance heat maps of the 312 attributes in CUB birds [60] and the 102 attributes in SUN scenes [47]
+(lighter color indicates lower variance, i.e., lower discriminability) and the t-SNE [35] visualizations of the test images
+represented by all attributes (left) and only the high-variance ones (right). Some of the low-variance attributes (the lighter
+part to the left of the cut-off line) discarded at training are still needed in discriminating unseen test classes. (b) Comparison
+of reconstructed images using SAE [25] and our proposed SP-AEN method, which is shown to retain sufficient semantics for
+photo-realistic reconstruction."

+7e507370124a2ac66fb7a228d75be032ddd083cc,Dynamic Pose-Robust Facial Expression Recognition by Multi-View Pairwise Conditional Random Forests,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TAFFC.2017.2708106, IEEE
+Transactions on Affective Computing
+Dynamic Pose-Robust Facial Expression
+Recognition by Multi-View Pairwise Conditional
+Random Forests
+Arnaud Dapogny1 and Kevin Bailly1 and S´everine Dubuisson1
+Sorbonne Universit´es, UPMC Univ Paris 06
+CNRS, UMR 7222, F-75005, Paris, France"

+7ea07b7b27d59300840df17e5881dbe3a4769872,Detection driven adaptive multi-cue integration for multiple human tracking,"Detection Driven Adaptive Multi-cue Integration for Multiple Human Tracking
+Ming Yang, Fengjun Lv, Wei Xu, Yihong Gong
+NEC Laboratories America, Inc.
+0080 North Wolfe Road, SW-350, Cupertino, CA 95014"

+10fb32ef34f815e9056ba71bc4b67a9951b4475b,End-to-End Audio Visual Scene-Aware Dialog using Multimodal Attention-Based Video Features,"End-to-End Audio Visual Scene-Aware Dialog using
+Multimodal Attention-Based Video Features
+Chiori Hori†, Huda Alamri∗†, Jue Wang†, Gordon Wichern†,
+Vincent Cartillier∗, Raphael Gontijo Lopes∗, Abhishek Das∗,
+Takaaki Hori†, Anoop Cherian†, Tim K. Marks†,
+Irfan Essa∗, Dhruv Batra∗ Devi Parikh∗,
+Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA
+School of Interactive Computing, Georgia Tech"

+1042683cf5733244238198ff486d3a65e70c9621,End-to-End Instance Segmentation with Recurrent Attention,"End-to-End Instance Segmentation with Recurrent Attention
+Mengye Ren1, Richard S. Zemel1,2
+University of Toronto1, Canadian Institute for Advanced Research2"

+1059729bcca57731c81d8a9c866ceb8ed3547d8d,Coupled Object Detection and Tracking from Static Cameras and Moving Vehicles,"Coupled Object Detection and Tracking from
+Static Cameras and Moving Vehicles
+Bastian Leibe, Konrad Schindler, Nico Cornelis, and Luc Van Gool"

+100f57d2eb737d6cb467bfac6e4bbfa9b39e774f,Mixing Body-Part Sequences for Human Pose Estimation,"Mixing Body-Part Sequences for Human Pose Estimation
+Anoop Cherian∗
+Julien Mairal∗ Karteek Alahari∗ Cordelia Schmid∗
+Inria"

+10cdb31a23c3233527ad2f8beebe7803b7a51a8c,Altered Neocortical Microcircuitry in the Valproic Acid Rat Model of Autism,"Altered Neocortical Microcircuitry in the
+Valproic Acid Rat Model of Autism
+THÈSE N° 3701 (2006)
+PRÉSENTÉE LE 20 NOVEMBRE
+À LA FACULTÉ DES SCIENCES DE LA VIE
+LABORATOIRE DE NEUROSCIENCE DES MICROCIRCUITS
+PROGRAMME DOCTORAL EN NEUROSCIENCES
+ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE
+POUR L’OBTENTION DU GRADE DE DOCTEUR ÈS SCIENCES
+Tania Rinaldi
+ingénieur chimiste diplômée EPF
+de nationalité suisse et originaire de Vouvry (VS)
+cceptée sur proposition du jury:
+Prof. R. Schneggenburger, président du jury
+Prof. H. Markram, directeur de thèse
+Prof. B. Gähwiler, rapporteur
+Prof. A. Lüthi, rapporteur
+Prof. C. Petersen, rapporteur
+Suisse
+(2006) année d’impression"

+10e7dd3bbbfbc25661213155e0de1a9f043461a2,Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video,"Cross Euclidean-to-Riemannian Metric Learning
+with Application to Face Recognition from Video
+Zhiwu Huang, Member, IEEE, Ruiping Wang, Member, IEEE, Shiguang Shan, Senior Member, IEEE,
+Luc Van Gool, Member, IEEE and Xilin Chen, Fellow, IEEE"

+106b54ed74f0fffaf6408a9b847d4ac0aa0ffef9,Block-Diagonal Sparse Representation by Learning a Linear Combination Dictionary for Recognition,"JOURNAL OF LATEX CLASS FILES, VOL. 11, NO. 4, DECEMBER 2015
+Block-Diagonal Sparse Representation by Learning
+Linear Combination Dictionary for Recognition
+Xinglin Piao, Yongli Hu, Member, IEEE, Yanfeng Sun, Member, IEEE, Junbin Gao, Baocai Yin, Member, IEEE"

+10c4b2489d7e1ee43a1d19724d3c1e9c33ca3f29,A Question-Answering framework for plots using Deep learning,"A Question-Answering framework for plots using Deep learning
+Revanth Reddy1, Rahul Ramesh1, Ameet Deshpande1 and Mitesh M. Khapra1
+Indian Institute of Technology Madras"

+10d39dedfaf34d862e3ca7216521c6290044ff87,Synthesized Classifiers for Zero-Shot Learning,"Synthesized Classifiers for Zero-Shot Learning
+Soravit Changpinyo∗, Wei-Lun Chao∗
+U. of Southern California
+Los Angeles, CA
+Boqing Gong
+U. of Central Florida
+Orlando, FL
+schangpi,
+Fei Sha
+U. of California
+Los Angeles, CA"

+10c077bf2dd1bed928926feb37837862ab786808,"Multiple Target Tracking and Identity Linking under Split, Merge and Occlusion of Targets and Observations","Multiple target tracking and identity linking under split, merge and
+occlusion of targets and observations
+nonymous submission
+Keywords:
+Tracking, graphical models, MAP inference, particle tracking, live cell tracking, intelligent headlights."

+101c5b39f4fc4dda1f39bf0c00e196f0a4720af2,Viewpoint Invariant Human Re-Identification in Camera Networks Using Pose Priors and Subject-Discriminative Features,"Viewpoint Invariant Human Re-identification in
+Camera Networks Using Pose Priors and
+Subject-Discriminative Features
+Ziyan Wu, Student Member, IEEE, Yang Li, Student Member, IEEE, and Richard J. Radke, Senior
+Member, IEEE"

+10d8a48deae967b627839cc95c98b6c080ba9966,Overview of the ImageCLEF 2013 Scalable Concept Image Annotation Subtask,"Overview of the ImageCLEF 2013 Scalable
+Concept Image Annotation Subtask
+Mauricio Villegas,† Roberto Paredes† and Bart Thomee‡
+ITI/DSIC, Universitat Polit`ecnica de Val`encia
+Cam´ı de Vera s/n, 46022 Val`encia, Spain
+Yahoo! Research
+Avinguda Diagonal 177, 08018 Barcelona, Spain"

+10ca3d8802ab0cc6ce000682a42fd9f6575a2006,Embedding Semantic Information into the Content of Natural Scenes Images,"http://dx.doi.org/10.5755/j01.eee.18.9.2808
+ELEKTRONIKA IR ELEKTROTECHNIKA, ISSN 1392-1215, VOL. 18, NO. 9, 2012
+Embedding Semantic Information into the
+Content of Natural Scenes Images
+G. Kazakeviciute-Januskeviciene1, E. Januskevicius2
+Department of Graphical systems, Vilnius Gediminas Technical University,
+Saulėtekio av.11, Vilnius, Lithuania, phone: +370 5 2744848
+Department of Building Structures, Vilnius Gediminas Technical University,
+Pylimo St. 26/1, Vilnius, Lithuania; phone: +370 5 2745205"

+10b3afc6a10149cd88bc6f4007b41895d661d5fe,SAN: Learning Relationship Between Convolutional Features for Multi-scale Object Detection,"SAN: Learning Relationship between
+Convolutional Features
+for Multi-Scale Object Detection
+Yonghyun Kim1[0000−0003−0038−7850], Bong-Nam Kang2[0000−0002−6818−7532],
+nd Daijin Kim1[0000−0002−8046−8521]
+Department of Computer Science and Engineering, POSTECH, Korea
+Department of Creative IT Engineering, POSTECH, Korea"

+1099d475ee0807fc0e4aec55b636db4abc01dcb6,Perceptual Principles for Video Classification With Slow Feature Analysis,"Perceptual principles for video classification with
+Slow Feature Analysis
+Christian Th´eriault(1), Nicolas Thome(1), Matthieu Cord(1), Patrick P´erez(2)
+(1)UPMC-Sorbonne Universities, Paris, France (2)Technicolor, France"

+10be82098017fc2d60b0572cea8032afabad5d1a,A Dataset for Multimodal Question Answering in the Cultural Heritage Domain,"Proceedings of the Workshop on Language Technology Resources and Tools for Digital Humanities (LT4DH),
+pages 10–17, Osaka, Japan, December 11-17 2016."

+10ce3a4724557d47df8f768670bfdd5cd5738f95,Fisher Light-Fields for Face Recognition across Pose and Illumination,"Fihe igh	Fie
+Ac e ad 

+Ra
+The Rbic 
i	e Caegie e
+5000 Fbe Ave	e ib	gh A 15213
+Abac. 
 
ay face ecgii ak he e ad i
+dii f he be ad ga
+
	
+di(cid:11)ee e ad 	de a di(cid:11)ee i
+ecgii a
+	bjec ca	ed a abiay e ad 	de abiay i
+d ay 	
be f be i
age agai ca	ed a abiay e ad
+de abiay i
+Fihe 
+i
age. achig bewee he be ad ga
+he Fihe 
+
d	ci
+
 
ay face ecgii ceai he e f he be ad ga
+di(cid:11)ee. The ga
+The a
+102e374347698fe5404e1d83f441630b1abf62d9,Facial Image Analysis for Fully Automatic Prediction of Difficult Endotracheal Intubation,"Facial Image Analysis for Fully-Automatic
+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"

+101c7bfc56091b627886636afcf1103c1cecccf6,Rapid Clothing Retrieval via Deep Learning of Binary Codes and Hierarchical Search,"Rapid Clothing Retrieval via Deep Learning of Binary
+Codes and Hierarchical Search
+Kevin Lin
+Academia Sinica, Taiwan
+Huei-Fang Yang
+Academia Sinica, Taiwan
+Kuan-Hsien Liu
+Academia Sinica, Taiwan
+Jen-Hao Hsiao
+Yahoo! Taiwan
+Chu-Song Chen
+Academia Sinica, Taiwan"

+10114df7ddbb221337cc1e99e1de0eab8e47c95d,Evaluating Feature Importance for Re-identification,"Chapter 9
+Evaluating Feature Importance for
+Re-Identification
+Chunxiao Liu, Shaogang Gong, Chen Change Loy, and Xinggang Lin"

+1068f6eca07c35426ca67961f00c3cac4866f155,Bilinear Models for 3-D Face and Facial Expression Recognition,"Bilinear Models for 3D Face and Facial
+Expression Recognition
+Iordanis Mpiperis, Sotiris Malassiotis and Michael G. Strintzis, Fellow,"

+102a2096ba2e2947dc252445f764e7583b557680,Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks,"Precomputed Real-Time Texture Synthesis with
+Markovian Generative Adversarial Networks
+Chuan Li and Michael Wand
+Institut for Informatik, University of Mainz, Germany"

+10261848b16292a5c8c700de6c6c9f692867c9c8,Cleaning Training-Datasets with Noise-Aware Algorithms,"Cleaning Training-Datasets with Noise-Aware Algorithms
+Instituto Nacional de Astrof´ısica ´Optica y Electr´onica,
+H. Jair Escalante
+Computer Science Department
+Tonantzintla, Puebla, 72840, M´exico"

+100641ed8a5472536dde53c1f50fa2dd2d4e9be9,Visual attributes for enhanced human-machine communication,"Visual Attributes for Enhanced Human-Machine Communication*
+Devi Parikh1"

+10678172baa93d8318dd1945d09f38721a0c1ffa,A Comparison of Adaptive Appearance Methods for Tracking Faces in Video Surveillance,"A Comparison of Adaptive Appearance Methods for Tracking
+Faces in Video Surveillance
+M. Ali Akber Dewan*, E. Granger*, F. Roli†, R. Sabourin*, and G. L. Marcialis†
+*Laboratoire d’imagerie, de vision et d’intelligence artificielle, École de technologie supérieure,
+Université du Québec, Montréal, Canada
+Department of Electrical and Electronic Engineering, University of Cagliari, Piazza d'Armi, Cagliari, Italy
+Keywords:  Biometrics,  Face  Tracking,  Spatiotemporal  Face
+Recognition,  Video  Surveillance,  On-Line  and  Incremental
+Learning, Adaptive Appearance Methods."

+10916d4eeacbf63a178c229868160189c6ce8850,Extraction of Illumination Invariant Features using Fuzzy Threshold based Approach,"International Conference on Intelligent Systems and Data Processing (ICISD) 2011
+Special Issue published by International Journal of Computer Applications® (IJCA)
+Extraction of Illumination Invariant Features using
+Fuzzy Threshold based Approach
+R. M. Makwana
+V. K. Thakar
+N.C. Chauhan
+Dept. of Computer Engineering
+A. D. Patel Inst. of Technology,
+S.P. University, New V.V. Nagar
+Dept. of Electronics and Commu.
+A. D. Patel Inst. of Technology
+S.P. University, New V.V. Nagar
+Dept. of Information Technology
+A. D. Patel Inst. of Technology
+S.P. University, New V.V. Nagar
+in  unconstrained  environment"

+105fdf31d14ec55fda91c05059ec83162ba7ce3a,Automatic feature generation and selection in predictive analytics solutions,AutomaticfeaturegenerationandselectioninpredictiveanalyticssolutionsSuzannevandenBosch

+10f641aabdd8bc1eb87fae74c63b814d8ef274a5,Automatic Single-Image People Segmentation and Removal for Cultural Heritage Imaging,"Automatic Single-Image People Segmentation
+nd Removal for Cultural Heritage Imaging
+Marco Manfredi, Costantino Grana, and Rita Cucchiara
+Universit`a degli Studi di Modena e Reggio Emilia, Modena MO 41125, Italy"

+101569eeef2cecc576578bd6500f1c2dcc0274e2,Multiaccuracy: Black-Box Post-Processing for Fairness in Classification,"Multiaccuracy: Black-Box Post-Processing for Fairness in
+Michael P. Kim∗†
+Classification
+Amirata Ghorbani∗
+James Zou"

+106732a010b1baf13c61d0994552aee8336f8c85,Expanded Parts Model for Semantic Description of Humans in Still Images,"Expanded Parts Model for Semantic Description
+of Humans in Still Images
+Gaurav Sharma, Member, IEEE, Fr´ed´eric Jurie, and Cordelia Schmid, Fellow, IEEE"

+102b27922e9bd56667303f986404f0e1243b68ab,Multiscale recurrent regression networks for face alignment,"Wang et al. Appl Inform  (2017) 4:13
+DOI 10.1186/s40535-017-0042-5
+RESEARCH
+Multiscale recurrent regression networks
+for face alignment
+Open Access
+Caixun Wang1,2,3, Haomiao Sun1,2,3, Jiwen Lu1,2,3*, Jianjiang Feng1,2,3 and Jie Zhou1,2,3
+*Correspondence:
+State Key Lab of Intelligent
+Technologies and Systems,
+Beijing 100084, People’s
+Republic of China
+Full list of author information
+is available at the end of the
+rticle"

+107010b7f2abe3c0c9df62bcef35eb77f6fc76df,Domain-Adversarial Training of Neural Networks,"Journal of Machine Learning Research 17 (2016) 1-35
+Submitted 5/15; Published 4/16
+Domain-Adversarial Training of Neural Networks
+Yaroslav Ganin
+Evgeniya Ustinova
+Skolkovo Institute of Science and Technology (Skoltech)
+Skolkovo, Moscow Region, Russia
+Hana Ajakan
+Pascal Germain
+D´epartement d’informatique et de g´enie logiciel, Universit´e Laval
+Qu´ebec, Canada, G1V 0A6
+Hugo Larochelle
+D´epartement d’informatique, Universit´e de Sherbrooke
+Qu´ebec, Canada, J1K 2R1
+Fran¸cois Laviolette
+Mario Marchand
+D´epartement d’informatique et de g´enie logiciel, Universit´e Laval
+Qu´ebec, Canada, G1V 0A6
+Victor Lempitsky
+Skolkovo Institute of Science and Technology (Skoltech)"

+10fcbf30723033a5046db791fec2d3d286e34daa,On-Line Cursive Handwriting Recognition: A Survey of Methods and Performances,"On-Line Cursive Handwriting Recognition: A Survey of Methods
+nd Performances
+Dzulkifli Mohamad* ,  2Muhammad Faisal Zafar*,    and  3Razib M. Othman*
+*Faculty of Computer Science & Information Systems, Universiti Teknologi Malaysia (UTM) , 81310
+Skudai, Johor, Malaysia."

+108b2581e07c6b7ca235717c749d45a1fa15bb24,Using Stereo Matching with General Epipolar Geometry for 2D Face Recognition across Pose,"Using Stereo Matching with General Epipolar
+Geometry for 2D Face Recognition
+cross Pose
+Carlos D. Castillo, Student Member, IEEE, and
+David W. Jacobs, Member, IEEE"

+103590b36d026928a90eae7ade9d7da318202168,Indoor Scene Recognition Using Local Semantic Concepts,"Indoor Scene Recognition Using Local Semantic
+Concepts
+Elham Seifossadat1, Niloofar Gheissari2 and Ali Fanian3
+Electrical and Computer Department,Isfahan University of Technology
+Isfahan, Iran
+Electrical and Computer Department,Isfahan University of Technology
+Isfahan, Iran
+3 Electrical and Computer Department,Isfahan University of Technology
+Isfahan, Iran"

+10773e5c1bc8a9a901a8baf4d0b891397975ea9d,Group encoding of local features in image classification,"1st International Conference on Pattern Recognition (ICPR 2012)
+November 11-15, 2012. Tsukuba, Japan
+978-4-9906441-1-6 ©2012 IAPR"

+10d334a98c1e2a9e96c6c3713aadd42a557abb8b,Scene Text Recognition Using Part-Based Tree-Structured Character Detection,"Scene Text Recognition using Part-based Tree-structured Character Detection
+Cunzhao Shi, Chunheng Wang, Baihua Xiao, Yang Zhang, Song Gao and Zhong Zhang
+State Key Laboratory of Management and Control for Complex Systems, CASIA, Beijing, China"

+1038aa6c1f63c1de9045f10e47ed573810cb4a52,A Video-Based Method for Objectively Rating Ataxia,"A Video-Based Method for Objectively Rating Ataxia
+Ronnachai Jaroensri∗1, Amy Zhao∗1, Guha Balakrishnan1, Derek Lo2, Jeremy Schmahmann3,
+John Guttag1, and Fr´edo Durand1
+MIT CSAIL 2Yale University 3Massachusetts General Hospital"

+1040a32d5bd5e6f4c8bc1932345ef93671e2c019,Real-time RGB-D based template matching pedestrian detection,"Real-Time RGB-D based Template Matching Pedestrian Detection
+Omid Hosseini jafari and Michael Ying Yang"

+109df0e8e5969ddf01e073143e83599228a1163f,Scheduling heterogeneous multi-cores through performance impact estimation (PIE),"Scheduling Heterogeneous Multi-Cores through
+Performance Impact Estimation (PIE)
+Kenzo Van Craeynest•∗ Aamer Jaleel†
+Lieven Eeckhout•
+Paolo Narvaez†
+Joel Emer†‡
+Ghent University•
+Ghent, Belgium
+{kenzo.vancraeynest,
+Intel Corporation, VSSAD†
+{aamer.jaleel,paolo.narvaez,
+Hudson, MA
+Cambridge, MA"

+1048c753e9488daa2441c50577fe5fdba5aa5d7c,Recognising faces in unseen modes: A tensor based approach,"Recognising faces in unseen modes: a tensor based approach
+Santu Rana, Wanquan Liu, Mihai Lazarescu and Svetha Venkatesh
+{santu.rana, wanquan, m.lazarescu,
+Dept. of Computing, Curtin University of Technology
+GPO Box U1987, Perth, WA 6845, Australia."

+191753aa338f24bb41f7bacb4326e0c0a1b90459,"Visual People Detection – Different Models, Comparison and Discussion","Visual People Detection – Different Models, Comparison and Discussion
+Bernt Schiele, Mykhaylo Andriluka, Nikodem Majer, Stefan Roth and Christian Wojek
+Department of Computer Science, TU Darmstadt"

+199fdc3c0b73d9469d2e732c97e889bfc8bf8bff,"Multi-Class Constrained Normalized Cut With Hard, Soft, Unary and Pairwise Priors and its Applications to Object Segmentation","Multi-Class Constrained Normalized Cut With
+Hard, Soft, Unary and Pairwise Priors and Its
+Applications to Object Segmentation
+Han Hu, Jianjiang Feng, Member, IEEE, Chuan Yu, and Jie Zhou, Senior Member, IEEE"

+199aabb19ea78576a74d573739a7f35cf04fac6e,Fast globally optimal 2D human detection with loopy graph models,"Fast Globally Optimal 2D Human
+Detection with Loopy Graph Models
+Paper by
+T.-P. Tian and S. Sclaroff
+Slides by A. Vedaldi"

+19fd089807f8925b9384bae6e66cbfe7e6d318aa,Acume: A new visualization tool for understanding facial expression and gesture data,"Acume: A New Visualization Tool for
+Understanding Facial Expression and Gesture
+Daniel McDuff - MIT Media Lab
+March 24, 2011"

+19841b721bfe31899e238982a22257287b9be66a,Recurrent Neural Networks,"Published as a conference paper at ICLR 2018
+SKIP RNN: LEARNING TO SKIP STATE UPDATES IN
+RECURRENT NEURAL NETWORKS
+V´ıctor Campos∗†, Brendan Jou‡, Xavier Gir´o-i-Nieto§, Jordi Torres†, Shih-Fu ChangΓ
+Barcelona Supercomputing Center, ‡Google Inc,
+§Universitat Polit`ecnica de Catalunya, ΓColumbia University
+{victor.campos,"

+19cfe13e8196872b81d6f31d2849dc540d146f7c,A Bayesian Framework for Sparse Representation-Based 3-D Human Pose Estimation,"A Bayesian Framework for Sparse
+Representation-Based 3D Human Pose Estimation
+Behnam Babagholami-Mohamadabadi, Amin Jourabloo, Ali Zarghami, and Shohreh Kasaei Senior Member, IEEE"

+19dc5a1156819230e6ae425e9c9d56e898d6bcb9,Comparing human and machine face recognition,"Comparing human and machine face recognition1
+Face Recognition Algorithms
+Surpass Humans Matching Faces Over
+Changes in Illumination
+Alice J. O’TOOLE, P. Jonathon PHILLIPS, Fang JIANG, Janet AYYAD, Nils PENARD,
+nd Hervé ABDI*"

+19fcb95815e4c225b250f7deed9be3e90963933d,Evaluación de la calidad de las imágenes de rostros utilizadas para la identificación de las personas,"ISSN: 1405-5546
+Instituto Politécnico Nacional
+México
+Méndez-Vázquez, Heydi; Chang, Leonardo; Rizo-Rodríguez, Dayron; Morales-González, Annette
+Evaluación de la calidad de las imágenes de rostros utilizadas para la identificación de las personas
+Instituto Politécnico Nacional
+Distrito Federal, México
+Disponible en: http://www.redalyc.org/articulo.oa?id=61523309003
+Cómo citar el artículo
+Número completo
+Más información del artículo
+Página de la revista en redalyc.org
+Sistema de Información Científica
+Red de Revistas Científicas de América Latina, el Caribe, España y Portugal
+Proyecto académico sin fines de lucro, desarrollado bajo la iniciativa de acceso abierto"

+19441b8be551e8134dd9eb33238309bc2de0a42f,Playing for Benchmarks,"Playing for Benchmarks
+Stephan R. Richter
+TU Darmstadt
+Zeeshan Hayder
+Vladlen Koltun
+Intel Labs
+Figure 1. Data for several tasks in our benchmark suite. Clockwise from top left: input video frame, semantic segmentation, semantic
+instance segmentation, 3D scene layout, visual odometry, optical flow. Each task is presented on a different image."

+192723085945c1d44bdd47e516c716169c06b7c0,Vision and Attention Theory Based Sampling for Continuous Facial Emotion Recognition,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation
+Vision and Attention Theory Based Sampling
+for Continuous Facial Emotion Recognition
+Albert C. Cruz, Student Member, IEEE, Bir Bhanu, Fellow, IEEE, and
+Ninad S. Thakoor, Member, IEEE"

+197a3c1863c780507798c9550dd6faadeb65caaa,Processing and Recognising Faces in 3D Images,",300+OPEN ACCESS BOOKS107,000+INTERNATIONALAUTHORS AND EDITORS113+ MILLIONDOWNLOADSBOOKSDELIVERED TO151 COUNTRIESAUTHORS AMONGTOP 1%MOST CITED SCIENTIST12.2%AUTHORS AND EDITORSFROM TOP 500 UNIVERSITIESSelection of our books indexed in theBook Citation Index in Web of Science™Core Collection (BKCI)Chapter from the book New Approaches to Characterization and Recognition of FacesDownloaded from: http://www.intechopen.com/books/new-approaches-to-characterization-and-recognition-of-facesPUBLISHED BYWorld's largest Science,Technology & Medicine Open Access book publisherInterested in publishing with InTechOpen?Contact us at"

+19b9e5127155730c618c0e1b41e1c723f143651d,Face Verification for Mobile Personal Devices,"Face Verification for Mobile Personal Devices
+Qian Tao"

+19fb5e5207b4a964e5ab50d421e2549ce472baa8,Online emotional facial expression dictionary,"International Conference on Computer Systems and Technologies - CompSysTech’14
+Online Emotional Facial Expression Dictionary
+Léon Rothkrantz"

+1962e4c9f60864b96c49d85eb897141486e9f6d1,Locality preserving embedding for face and handwriting digital recognition,"Neural Comput & Applic (2011) 20:565–573
+DOI 10.1007/s00521-011-0577-7
+O R I G I N A L A R T I C L E
+Locality preserving embedding for face and handwriting digital
+recognition
+Zhihui Lai • MingHua Wan • Zhong Jin
+Received: 3 December 2008 / Accepted: 11 March 2011 / Published online: 1 April 2011
+Ó Springer-Verlag London Limited 2011
+supervised manifold
+the local sub-manifolds."

+19bc52323383732c3c7d73e11726f6232515d2f9,KAIST Multi-Spectral Day/Night Data Set for Autonomous and Assisted Driving,"This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.
+KAIST Multi-Spectral Day/Night Data Set for
+Autonomous and Assisted Driving
+Yukyung Choi
+, Namil Kim, Soonmin Hwang, Kibaek Park, Jae Shin Yoon,
+Kyounghwan An, Member, IEEE, and In So Kweon, Member, IEEE
+i.e., a thermal"

+191674c64f89c1b5cba19732869aa48c38698c84,Face Image Retrieval Using Attribute - Enhanced Sparse Codewords,"International Journal of Advanced Technology in Engineering and Science                 www.ijates.com
+Volume No.03, Issue No. 03, March 2015                                                   ISSN (online): 2348 – 7550
+FACE IMAGE RETRIEVAL USING ATTRIBUTE -
+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"

+19296e129c70b332a8c0a67af8990f2f4d4f44d1,Is that you? Metric learning approaches for face identification,"Metric Learning Approaches for Face Identification
+Is that you?
+M. Guillaumin, J. Verbeek and C. Schmid
+LEAR team, INRIA Rhˆone-Alpes, France
+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"

+197eafb6abb6b7d2813eec0891b143e27fc57386,Smile! Studying expressivity of happiness as a synergic factor in collaborative information seeking,"Smile! Studying expressivity of happiness as a synergic factor in collaborative
+information seeking.
+Rutgers University has made this article freely available.  Please share how this access benefits you.
+Your story matters. [https://rucore.libraries.rutgers.edu/rutgers-lib/47408/story/]
+This work is the AUTHOR'S ORIGINAL (AO)
+This is the author's original version of a work, which may or may not have been subsequently published. The author accepts full
+responsibility for the article. Content and layout is as set out by the author.
+Citation to this Version: Shah, Chirag, González-Ibáñez, Roberto & Córdova-Rubio, Natalia. (2011). Smile! Studying
+expressivity of happiness as a synergic factor in collaborative information seeking.. New Orleans
+(La.). Retrieved from doi:10.7282/T3NK3GWF.
+Terms of Use:   Copyright for scholarly resources published in RUcore is retained by the copyright holder. By virtue of its appearance in this open
+ccess medium, you are free to use this resource, with proper attribution, in educational and other non-commercial settings. Other uses, such as
+reproduction or republication, may require the permission of the copyright holder.
+Article begins on next page
+SOAR is a service of RUcore, the Rutgers University Community Repository
+RUcore is developed and maintained by Rutgers University Libraries"

+19911c7e66b05d5aa28673608fdfc50ef00591dd,Recognizing Human Faces: Physical Modeling and Pattern Classification,

+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"

+19a30ad283f2ab2d84f1c666d17492da14056d75,Visuomotor Coordination in Reach-To-Grasp Tasks: From Humans to Humanoids and Vice Versa,"Visuomotor Coordination in Reach-To-Grasp Tasks:
+From Humans to Humanoids and Vice Versa
+THÈSE NO 6695 (2015)
+PRÉSENTÉE LE 4 JUIN 2015
+À L’ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE
+À LA FACULTÉ DES SCIENCES ET TECHNIQUES DE L'INGÉNIEUR
+LABORATOIRE D'ALGORITHMES ET SYSTÈMES D'APPRENTISSAGE
+À L’INSTITUTO SUPERIOR TÉCNICO (IST) DA UNIVERSIDADE DE LISBOA
+INSTITUTO DE SISTEMA E ROBOTICA
+PROGRAMME DOCTORAL EN GÉNIE ÉLECTRIQUE
+DOUTORAMENTO EM ENGENHARIA ELECTROTÉCNICA E DE COMPUTADORES
+POUR L’OBTENTION DU GRADE DE DOCTEUR ÈS SCIENCES (PhD)
+Luka LUKIC
+Prof. A. Billard, Prof. J. Santos-Victor, directeurs de thèse
+cceptée sur proposition du jury:
+Prof. J. Faria, président du jury
+Prof. D. Vernon, rapporteur
+Prof. E. Bicho, rapporteuse
+Prof. A. Bernardino, rapporteur
+Prof. G. Sandini, rapporteur"

+19a3374ac2f917b408b4bcdca33fc9e9fd7ff260,Visual Fixation Patterns during Reciprocal Social Interaction Distinguish a Subgroup of 6-Month-Old Infants At-Risk for Autism from Comparison Infants.,"J Autism Dev Disord (2007) 37:108–121
+DOI 10.1007/s10803-006-0342-4
+O R I G I N A L P A P E R
+Visual Fixation Patterns during Reciprocal Social Interaction
+Distinguish a Subgroup of 6-Month-Old Infants At-Risk
+for Autism from Comparison Infants
+Noah Merin Æ Gregory S. Young Æ Sally Ozonoff Æ
+Sally J. Rogers
+Published online: 27 December 2006
+Ó Springer Science+Business Media, LLC 2006"

+19c53302bda8a82ec40d314a85b1713f43058a1a,Deep learning models of biological visual information processing,"Turcsány, Diána (2016) Deep learning models of
+iological visual information processing. PhD thesis,
+University of Nottingham.
+Access from the University of Nottingham repository:
+http://eprints.nottingham.ac.uk/35561/1/thesis_DianaTurcsany.pdf
+Copyright and reuse:
+The Nottingham ePrints service makes this work by researchers of the University of
+Nottingham available open access under the following conditions.
+This article is made available under the University of Nottingham End User licence and may
+e reused according to the conditions of the licence.  For more details see:
+http://eprints.nottingham.ac.uk/end_user_agreement.pdf
+For more information, please contact"

+197f945b66995e4d006497808586f828f8a88a86,Part Discovery from Partial Correspondence,"Part Discovery from Partial Correspondence
+Subhransu Maji
+Gregory Shakhnarovich
+Toyota Technological Institute at Chicago, IL, USA"

+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"

+193c9bd069e9457ac8650a8dfd4319bb3f4afd56,Improving Person Tracking Using an Inexpensive Thermal Infrared Sensor,"Improving Person Tracking Using an Inexpensive Thermal Infrared Sensor
+Suren Kumar
+Univ. of SUNY-Buffalo
+Tim K. Marks
+Mitsubishi Electric Research Labs
+Michael Jones
+Mitsubishi Electric Research Labs"

+19cfec264e863793dd96a5f308a3b603c6b9912e,Attention-Based Ensemble for Deep Metric Learning,"Attention-based Ensemble for
+Deep Metric Learning
+Wonsik Kim, Bhavya Goyal, Kunal Chawla, Jungmin Lee, Keunjoo Kwon
+Samsung Research,
+Samsung Electronics
+{wonsik16.kim, bhavya.goyal, kunal.chawla, jm411.lee,"

+19d583bf8c5533d1261ccdc068fdc3ef53b9ffb9,FaceNet: A unified embedding for face recognition and clustering,"FaceNet: A Unified Embedding for Face Recognition and Clustering
+Florian Schroff
+Dmitry Kalenichenko
+James Philbin
+Google Inc.
+Google Inc.
+Google Inc."

+1910f5f7ac81d4fcc30284e88dee3537887acdf3,Semantic Based Hypergraph Reranking Model for Web Image Search,"Volume 6, Issue 5, May 2016                                   ISSN: 2277 128X
+International Journal of Advanced Research in
+Computer Science and Software Engineering
+Research Paper
+Available online at: www.ijarcsse.com
+Semantic Based Hypergraph Reranking Model for Web
+Image Search
+Amol Darkunde, 2Manoj Jalan, 3Yelmar Mahesh, 4Shivadatta Shinde, 5Dnyanda Patil
+, 2, 3, 4 B. E.  Dept of CSE, 5 Asst. Prof. Dept of CSE
+, 2, 3, 4, 5 Dr.D.Y.Patil College of Engineering, Pune, Maharashtra, India"

+1936a73920c5a7eb97e8b73cb9a6096aa509e402,Robust Multi-Person Tracking from Moving Platforms,"Robust Multi-Person Tracking from Moving Platforms
+Andreas Ess1, Konrad Schindler1, Bastian Leibe1,2 and Luc van Gool1,3
+ETH Z¨urich
+KU Leuven, IBBT
+RWTH Aachen"

+19f7654f22416e6fdf430c1c873ad3e8c15e64f8,Zero-crossing based image projections encoding for eye localization,"0th European Signal Processing Conference (EUSIPCO 2012)
+© EURASIP, 2012  -  ISSN 2076-1465
+. INTRODUCTION"

+197c64c36e8a9d624a05ee98b740d87f94b4040c,Regularized Greedy Column Subset Selection,"Regularized Greedy Column Subset Selection
+Bruno Ordozgoiti*a, Alberto Mozoa, Jes´us Garc´ıa L´opez de Lacalleb
+Department of Computer Systems, Universidad Polit´ecnica de Madrid
+Department of Applied Mathematics, Universidad Polit´ecnica de Madrid"

+19158dfe2815e7f9eebc5822687e83d0a89ae147,Semantic Regularisation for Recurrent Image Annotation,[cs.CV]  16 Nov 2016

+1957956856dc04ebee5815bd62874687e2af7260,Joint Optical Flow and Temporally Consistent Semantic Segmentation,"Joint Optical Flow and Temporally Consistent
+Semantic Segmentation
+Junhwa Hur and Stefan Roth
+Department of Computer Science, TU Darmstadt"

+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"

+19359fb238888c0eb012a4ab5c6f0fa0e9be493b,Enhanced Facial Expression Recognition using 2DPCA Principal component Analysis and Gabor Wavelets,"Enhanced Facial Expression Recognition
+using 2DPCA Principal component Analysis
+nd Gabor Wavelets.
+(1)Laboratory of Automatic and Signals Annaba (LASA) , Department of electronics, Faculty of Engineering,
+Zermi.Narima(1), Saaidia.Mohammed(2),
+Badji-Mokhtar University, P.O.Box 12, Annaba-23000, Algeria.
+E-Mail :
+(2) Département de Génie-électrique, Université M.C.M. Souk-Ahras, Algeria"

+19766585a701749fc297a5ca6b8cdc0c62d4ba1b,A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling,"A Bottom-up Approach for Pancreas Segmentation using
+Cascaded Superpixels and (Deep) Image Patch Labeling
+Amal Faraga, Le Lua, Holger R. Rotha, Jiamin Liua, Evrim Turkbeya, Ronald M. Summersa,∗
+Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, National Institutes
+of Health Clinical Center, Building 10 Room 1C224D, MSC 1182, Bethesda, MD 20892-1182, United States"

+4c6d6bb5bafba9e04d8f2ce128be71fba1d1e0e8,Human parsing with a cascade of hierarchical poselet based pruners,"HUMAN PARSING WITH A CASCADE OF HIERARCHICAL POSELET BASED PRUNERS
+Duan Tran†
+Yang Wang‡
+University of Illinois at Urbana Champaign†
+David Forsyth†
+University of Manitoba‡"

+4c0ce0ed9cc92115874be4397f6240769d3ed84f,The effect of familiarity on face adaptation.,"doi:10.1068/p6774
+The effect of familiarity on face adaptation
+Sarah Laurence, Graham Hole
+School of Psychology, University of Sussex, Falmer, Brighton BN1 9QH, Sussex, UK;
+e-mail:
+Received 14 July 2010, in revised form 30 March 2011"

+4c6e1840451e1f86af3ef1cb551259cb259493ba,Hand Posture Dataset Creation for Gesture Recognition,"HAND POSTURE DATASET CREATION FOR GESTURE
+RECOGNITION
+Instituto de Sistemas Inteligentes y Aplicaciones Numericas en Ingenieria
+Luis Anton-Canalis
+Campus Universitario de Tafira, 35017 Gran Canaria, Spain
+Elena Sanchez-Nielsen
+Departamento de E.I.O. y Computacion
+8271 Universidad de La Laguna, Spain
+Keywords:
+Image understanding, Gesture recognition, Hand dataset."

+4c69da79843016d5d934464d3777030741978180,Neuromorphic Atomic Switch Networks,"Neuromorphic Atomic Switch Networks
+Audrius V. Avizienis1.
+Adam Z. Stieg2,3*, James K. Gimzewski1,2,3
+, Henry O. Sillin1.
+, Cristina Martin-Olmos1, Hsien Hang Shieh2, Masakazu Aono3,
+Department of Chemistry and Biochemistry, University of California Los Angeles, Los Angeles, California, United States of America, 2 California NanoSystems Institute,
+University of California Los Angeles, Los Angeles, California, United States of America, 3 World Premier International Center for Materials Nanoarchitectonics, National
+Institute for Materials Science, Tsukuba, Ibaraki, Japan"

+4cc5fb6cf48b2c58b283460b19f3beeb7e5b6a22,Clickage: towards bridging semantic and intent gaps via mining click logs of search engines,"Clickage: Towards Bridging Semantic and Intent Gaps
+via Mining Click Logs of Search Engines
+Xian-Sheng Hua, Linjun Yang, Jingdong Wang, Jing Wang
+Ming Ye, Kuansan Wang, Yong Rui, Jin Li
+Microsoft Corporation, One Microsoft Way, Redmond WA 98052, USA
+{xshua; linjuny; jingdw; v-wangji; mingye; kuansanw; yongrui;"

+4cf74211e635c73ca5816199ef33d10c3462beae,Review of Facial Expression Recognition System and Used Datasets,"IJRET: International Journal of Research in Engineering and Technology       eISSN: 2319-1163 | pISSN: 2321-7308
+REVIEW OF FACIAL EXPRESSION RECOGNITION SYSTEM AND
+USED DATASETS
+Shyna Dutta1, V.B. Baru2,
+ME Student, Department of Electronics and Telecommunication, Sinhgad College of Engineering Vadgaon, Pune,
+Associate Professor, Department of Electronics and Telecommunication, Sinhgad College of Engineering Vadgaon,"

+4c41b774a6bdf43d980f640880cc49b82ae19b34,3D Facial Landmark Detection under Large Yaw and Expression Variations,"D Facial Landmark Detection under
+Large Yaw and Expression Variations
+Panagiotis Perakis, Member, IEEE Computer Society, Georgios Passalis,
+Theoharis Theoharis, and Ioannis A. Kakadiaris, Senior Member, IEEE"

+4cff5b5099b0227730efa9e9fd724a63dc0c0c2f,Learning Efficient Binary Codes From High-Level Feature Representations for Multilabel Image Retrieval,"Learning Efficient Binary Codes From
+High-Level Feature Representations
+for Multilabel Image Retrieval
+Lei Ma
+, Hongliang Li, Senior Member, IEEE, Fanman Meng, Member, IEEE, Qingbo Wu, Member, IEEE,
+nd King Ngi Ngan, Fellow, IEEE"

+4cdfef0fec0918dcf5c40b9b53c9e3f48be0462b,Unsupervised robotic sorting: Towards autonomous decision making robots,"Unsupervised robotic sorting:
+Towards autonomous decision making
+robots
+Joris Gu´erin, St´ephane Thiery, Eric Nyiri and Olivier Gibaru
+Arts et M´etiers ParisTech, Lille, FRANCE"

+4c4454aa7a2a244c678f507a982fe8827ba419bb,Adversarial Examples for Semantic Image Segmentation,"Workshop track - ICLR 2017
+ADVERSARIAL EXAMPLES FOR
+SEMANTIC IMAGE SEGMENTATION
+Volker Fischer1, Mummadi Chaithanya Kumar2, Jan Hendrik Metzen1 & Thomas Brox2
+Bosch Center for Artificial Intelligence, Robert Bosch GmbH
+University of Freiburg
+{volker.fischer,"

+4c797506d610525591288f813621b271ce879452,The automaticity of face perception is influenced by familiarity,"Atten Percept Psychophys (2017) 79:2202–2211
+DOI 10.3758/s13414-017-1362-1
+The automaticity of face perception is influenced by familiarity
+Xiaoqian Yan 1 & Andrew W. Young 1 & Timothy J. Andrews 1
+Published online: 5 July 2017
+# The Author(s) 2017. This article is an open access publication"

+4c5041f8b93fd71a851445e84bfca0d7d0c3bb9b,Enhancing Memory-Based Particle Filter with Detection-Based Memory Acquisition for Robustness under Severe Occlusion,"ENHANCING MEMORY-BASED PARTICLE FILTER WITH
+DETECTION-BASED MEMORY ACQUISITION FOR ROBUSTNESS
+UNDER SEVERE OCCLUSION
+Dan Mikami, Kazuhiro Otsuka, Shiro Kumano and Junji Yamato
+NTT Communication Science Laboratories, NTT, 3-1 Morinosato-Wakamiya, Atsugi, Kanagawa, 243-0198, Japan
+Keywords:
+Pose Tracking, Face Pose, Memory-based Prediction, Memory Acquisition."

+4c815f367213cc0fb8c61773cd04a5ca8be2c959,Facial expression recognition using curvelet based local binary patterns,"978-1-4244-4296-6/10/$25.00 ©2010 IEEE
+ICASSP 2010"

+4ca8ff09f24f0838022f1d0b94af4331f6e538cd,Semantic Parsing to Probabilistic Programs for Situated Question Answering,"Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 160–170,
+Austin, Texas, November 1-5, 2016. c(cid:13)2016 Association for Computational Linguistics"

+4cf17bca0e19070fbe9bb25644787f65fa6ebe1a,Human Pose Estimation,"Human pose estimation
+Leonid Sigal, Disney Research, Pittsburgh
+Synonyms
+– Articulated pose estimation
+– Body configuration recovery
+Related Concepts
+– Human pose tracking
+– People tracking
+– Articulated pose tracking
+– Body parsing
+– People parsing
+Definition
+Human pose estimation is the process of estimating the configuration of the
+ody (pose) from a single, typically monocular, image.
+Background
+Human pose estimation is one of the key problems in computer vision that
+has been studied for well over 15 years. The reason for its importance is the
+bundance of applications that can benefit from such a technology. For example,
+human pose estimation allows for higher level reasoning in the context of human-
+omputer interaction and activity recognition; it is also one of the basic building"

+4ce18536eec7917da848be6b5f783d3ee3d49677,Fast Face Detection in One Line of Code,"Fast Face Detection in One Line of Code
+Michael Zucchi, B.E. (Comp. Sys. Eng.)
+Unaliated, unfunded, personal research."

+4c1ef2a628627798939dccc072d33f9e12b48640,Advanced Hybrid Color Space Normalization for Human Face Extraction and Detection,"IJSRD - International Journal for Scientific Research & Development| Vol. 1, Issue 4, 2013 | ISSN (online): 2321-0613
+Advanced Hybrid Color Space Normalization for Human Face
+Extraction and Detection
+Jayakrishna.V1  Akhila G.P.2 Shafeena Basheer3
+, 2Faculty  3PG Student
+, 3Amal Jyothi College of Engineering, Kanjirappally
+UKF College of Engineering &Technology,Parippally
+S.P.B.Patel Engineering College, Mehsana, Gujarat
+(CSN)
+technique
+enhancing
+is  contained
+in  Y  component,  and"

+4c4e49033737467e28aa2bb32f6c21000deda2ef,Improving Landmark Localization with Semi-Supervised Learning,"Improving Landmark Localization with Semi-Supervised Learning
+Sina Honari1∗, Pavlo Molchanov2, Stephen Tyree2, Pascal Vincent1,4,5, Christopher Pal1,3, Jan Kautz2
+MILA-University of Montreal, 2NVIDIA, 3Ecole Polytechnique of Montreal, 4CIFAR, 5Facebook AI Research.
+{honaris,
+{pmolchanov, styree,"

+4c39000bbd6761dd9e5609fe310af51facb835a9,Kinects and human kinetics: A new approach for studying pedestrian behavior,"This paper might be a pre-copy-editing or a post-print author-produced .pdf of an article accepted for publication. For the
+definitive publisher-authenticated version, please refer directly to publishing house’s archive system."

+4c822705edd305d04f2c02ac9b1b73421e857961,Towards fully automated person re-identification,"Towards Fully Automated Person Re-Identification
+Matteo Taiana, Dario Figueira, Athira Nambiar, Jacinto Nascimento and Alexandre Bernardino
+Institute for Systems and Robotics, IST, Lisboa, Portugal
+Re-Identification, Pedestrian Detection, Camera Networks, Video Surveillance
+Keywords:"

+4c477ba5513ec9c629ca3442c1fee15612259905,Complex Relations in a Deep Structured Prediction Model for Fine Image Segmentation,"Complex Relations in a Deep Structured Prediction
+Model for Fine Image Segmentation
+Cristina Mata, Guy Ben-Yosef, Boris Katz
+Computer Science and Artificial Intelligence Laboratory
+{cfmata, gby,
+Center for Brains, Minds and Machines"

+4c55ea9c04d46d60ec5789f4e4c3224c41360768,Dimensionality Reduction Using Similarity-Induced Embeddings,"IEEE Copyright Notice
+Copyright c(cid:13)2017 IEEE
+Personal use of this material is permitted. Permission from
+IEEE must be obtained for all other uses, in any current or fu-
+ture media, including reprinting/republishing this material for
+dvertising or promotional purposes, creating new collective
+works, for resale or redistribution to servers or lists, or reuse
+of any copyrighted component of this work in other works.
+Published in: IEEE Transactions on Neural Networks and
+Learning Systems
+URL: http://ieeexplore.ieee.org/document/8004500
+DOI: 10.1109/TNNLS.2017.2728818
+DOI 10.1109/TNNLS.2017.2728818 c(cid:13)2017 IEEE"

+4cc675422395ed7dc7e4772280f7c57cac6fbaee,Efficient person re-identification by hybrid spatiogram and covariance descriptor,"Efficient Person Re-identification by Hybrid Spatiogram and Covariance
+Descriptor
+Mingyong Zeng, Zemin Wu, Chang Tian, Lei Zhang, and Lei Hu
+College of Communications Engineering, PLA University
+of Science and Technology, Nanjing 210007, China"

+4c1e47ba68b81d210718f837b197253164decaf0,Evaluation of Quality Factors for the Captured Facial Image,"International Journal of Computer Applications (0975 – 8887)
+Volume 142 – No.10, May 2016
+Evaluation of Quality Factors for the Captured Facial
+Image
+Abhay Goyal
+M.Tech. Student
+Department of ECE
+SBSSTC, Ferozepur, Pujnab"

+4ce68170f85560942ee51465e593b16560f9c580,Practical Matrix Completion and Corruption Recovery Using Proximal Alternating Robust Subspace Minimization,"(will be inserted by the editor)
+Practical Matrix Completion and Corruption Recovery using
+Proximal Alternating Robust Subspace Minimization
+Yu-Xiang Wang · Choon Meng Lee · Loong-Fah Cheong · Kim-Chuan Toh
+Introduction
+Completing a low-rank matrix from partially observed
+entries, also known as matrix completion, is a central
+task in many real-life applications. The same abstrac-
+tion of this problem has appeared in diverse fields such
+s signal processing, communications, information re-
+trieval, machine learning and computer vision. For in-
+stance, the missing data to be filled in may correspond
+to plausible movie recommendations (Koren et al 2009;
+Funk 2006), occluded feature trajectories for rigid or
+non-rigid structure from motion, namely SfM (Hart-
+ley and Schaffalitzky 2003; Buchanan and Fitzgibbon
+005) and NRSfM (Paladini et al 2009), relative dis-
+tances of wireless sensors (Oh et al 2010), pieces of un-
+ollected measurements in DNA micro-array (Friedland
+et al 2006), just to name a few."

+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
+Department of Computer Engineering, Namık Kemal University, Tekirda˘g, Turkey
+Department of Computer Engineering, Bo˘gazic¸i University, Istanbul, Turkey"

+4c1ce6bced30f5114f135cacf1a37b69bb709ea1,Gaze direction estimation by component separation for recognition of Eye Accessing Cues,"Gaze Direction Estimation by Component Separation for
+Recognition of Eye Accessing Cues
+Ruxandra Vrˆanceanu
+Image Processing and Analysis Laboratory
+University ”Politehnica” of Bucharest, Romania, Address Splaiul Independent¸ei 313
+Corneliu Florea
+Image Processing and Analysis Laboratory
+University ”Politehnica” of Bucharest, Romania, Address Splaiul Independent¸ei 313
+Laura Florea
+Image Processing and Analysis Laboratory
+University ”Politehnica” of Bucharest, Romania, Address Splaiul Independent¸ei 313
+Constantin Vertan
+Image Processing and Analysis Laboratory
+University ”Politehnica” of Bucharest, Romania, Address Splaiul Independent¸ei 313"

+4cfa2fe87c250534fd2f285c2300e7ca2cd9e325,"Visual, Auditory, and Cross Modal Sensory Processing in Adults with Autism: An EEG Power and BOLD fMRI Investigation","ORIGINAL RESEARCH
+published: 19 April 2016
+doi: 10.3389/fnhum.2016.00167
+Visual, Auditory, and Cross Modal
+Sensory Processing in Adults with
+Autism: An EEG Power and BOLD
+fMRI Investigation
+Elizabeth’ C. Hames1, Brandi Murphy2, Ravi Rajmohan3, Ronald C. Anderson1,
+Mary Baker1*, Stephen Zupancic2, Michael O’Boyle4 and David Richman5
+Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX, USA, 2 Department of Audiology,
+Texas Tech University Health Sciences Center, Lubbock, TX, USA, 3 Department of Pharmacology and Neuroscience, Texas
+Tech University Health Sciences Center, Lubbock, TX, USA, 4 College of Human Sciences, Texas Tech University, Lubbock,
+TX, USA, 5 Burkhart Center for Autism Education and Research, Texas Tech University, Lubbock, TX, USA
+Electroencephalography (EEG) and blood oxygen level dependent functional magnetic
+resonance imagining (BOLD fMRI) assessed the neurocorrelates of sensory processing
+of visual and auditory stimuli
+in 11 adults with autism (ASD) and 10 neurotypical (NT)
+ontrols between the ages of 20–28. We hypothesized that ASD performance on
+ombined audiovisual trials would be less accurate with observable decreased EEG
+power across frontal, temporal, and occipital channels and decreased BOLD fMRI"

+4c88e41424022c7c5f111d34d931fae15f52a551,"CUR Decompositions, Similarity Matrices, and Subspace Clustering","CUR Decompositions, Similarity Matrices, and
+Subspace Clustering
+Akram Aldroubi, Keaton Hamm, Ahmet Bugra Koku, and Ali Sekmen"

+4cfae149d6acd8cffc12c06ed796f1f84dce0e73,Face Recognition Based on Image Latent Semantic Analysis Model and SVM,"International Journal of Signal Processing, Image Processing and Pattern Recognition
+Vol. 6, No. 3, June, 2013
+Face Recognition Based on Image Latent Semantic Analysis Model
+nd SVM
+Jucheng Yang 1, 2, Min Luo3 and Yanbin Jiao4
+Ahead Software Company Limited, Nanchang, 330041, China
+College of Computer Science and Information Engineering, Tianjin University of
+Science and Technology, Tianjin, China
+Jiangxi Institute of Computing Technology, Nanchang, China
+School of Information Technology, Jiangxi University of Finance and Economics,
+Nanchang, China"

+4cfdd0c8313ac4f92845dcd658115beb115b97ce,Multi-Task Learning as Multi-Objective Optimization,"Multi-Task Learning as Multi-Objective Optimization
+Ozan Sener
+Intel Labs
+Vladlen Koltun
+Intel Labs"

+4c863a15c4da0d0ccd20c5897a4e33fb771fe3eb,The effect of forced choice on facial emotion recognition: a comparison to open verbal classification of emotion labels,"OPEN ACCESS
+Research Article
+The effect of forced choice on facial emotion recognition:
+comparison to open verbal classification of emotion
+labels
+Der Effekt eines geschlossenen Antwortformats auf die mimische
+Emotionserkennung: ein Vergleich mit der freien verbale Zuordnung von
+Emotionswörtern
+Kerstin
+Limbrecht-Ecklundt1
+Andreas Scheck1
+Lucia Jerg-Bretzke1
+Steffen Walter1
+Holger Hoffmann1
+Harald C. Traue1
+University of Ulm, University
+Clinic of Psychosomatic
+Medicine and Psychotherapy,
+Medical Psychology, Ulm,
+Germany"

+4c05dc45b82b79e87f7b337ccf9f48d537c0e6e2,Exploring Heterogeneity within a Core for Improved Power Efficiency,"Exploring Heterogeneity within a Core for
+Improved Power Efficiency
+Sudarshan Srinivasan, Nithesh Kurella, Israel Koren, Fellow, IEEE, and Sandip Kundu, Fellow, IEEE"

+2608a2499819053468f4e6f77a715c2dbfefdfb0,Object Classification using Hybrid Holistic Descriptors: Application to Building Detection in Aerial Orthophotos,"Object Classification using Hybrid Holistic
+Descriptors: Application to Building Detection
+in Aerial Orthophotos
+Fadi Dornaika, Abdelmalik Moujahid, Alireza Bosaghzadeh, Youssef El Merabet, and Yassine Ruichek"

+26172460c2c47886f8b0e141c15de29c9766bfbe,An Iterative Co-Saliency Framework for RGBD Images,"IEEE TRANSACTIONS ON CYBERNETICS, VOL. XX, NO. XX, XXXX 2017
+An Iterative Co-Saliency Framework for RGBD
+Images
+Runmin Cong, Jianjun Lei, Senior Member, IEEE, Huazhu Fu, Weisi Lin, Fellow, IEEE,
+Qingming Huang, Senior Member, IEEE, Xiaochun Cao, Senior Member, IEEE, and Chunping Hou"

+2603efdc673e9c7cfa0c1e1dfda512b6ef54ea2c,On the Use of Simple Geometric Descriptors Provided by RGB-D Sensors for Re-Identification,"Sensors 2013, 13, 8222-8238; doi:10.3390/s130708222
+OPEN ACCESS
+sensors
+ISSN 1424-8220
+www.mdpi.com/journal/sensors
+Article
+On the Use of Simple Geometric Descriptors Provided by
+RGB-D Sensors for Re-Identification
+Javier Lorenzo-Navarro *, Modesto Castrill´on-Santana and Daniel Hern´andez-Sosa
+SIANI, Universidad de Las Palmas de Gran Canaria, Campus de Tafira,
+Las Palmas de Gran Canaria 35017, Spain; E-Mails: (M.C.-S.);
+(D.H.-S.)
+* Author to whom correspondence should be addressed; E-Mail:
+Tel.: +34-928-458-747.
+Received: 25 March 2013; in revised form: 7 June 2013 / Accepted: 20 June 2013 /
+Published: 27 June 2013"

+2661f38aaa0ceb424c70a6258f7695c28b97238a,Multilayer Architectures for Facial Action Unit Recognition,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 42, NO. 4, AUGUST 2012
+Multilayer Architectures for Facial
+Action Unit Recognition
+Tingfan Wu, Nicholas J. Butko, Paul Ruvolo, Jacob Whitehill, Marian S. Bartlett, and Javier R. Movellan"

+2603d8578a6c95a9b9d4cb8a73bc66f18d523f37,Deep Parts Similarity Learning for Person Re-Identification,

+264a84f4d27cd4bca94270620907cffcb889075c,Deep motion features for visual tracking,"Deep Motion Features for Visual Tracking
+Susanna Gladh, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg
+Computer Vision Laboratory, Department of Electrical Engineering, Link¨oping University, Sweden"

+2677a79b6381f3e7787c5dca884fa53d0b28dfe2,Supplementary Document : Single-Shot Multi-Person 3 D Pose Estimation From Monocular RGB 1,"Supplementary Document:
+Single-Shot Multi-Person 3D Pose
+Estimation From Monocular RGB
+. Read-out Process
+An algorithmic description of the read-out process
+is provided in Alg. 1.
+Algorithm 1 3D Pose Inference
+: Given: P 2D, C2D, M
+: for all i ∈ (1..m) do
+if C2D
+[k] > thresh, k ∈ {pelvis, neck} then
+Person i is detected
+for all joints j ∈ (1..n) do
+rloc = P2D
+Pi[:, j] = ReadLocMap(j, rloc)
+limbs
+{arml, armr, legl, legr, head} do
+{pelvis, neck}; j = parent(j) do
+j = getExtremity(l); j
+if isValidReadoutLoc(i, j) then"

+266b5b038750e1ab1311e38554e4c2c8ba6564fd,SLIC Superpixels Compared to State-of-the-Art Superpixel Methods,"JOURNAL OF LATEX CLASS FILES, VOL. 6, NO. 1, DECEMBER 2011
+SLIC Superpixels Compared to State-of-the-art
+Superpixel Methods
+Radhakrishna Achanta, Appu Shaji, Kevin Smith,
+Aurelien Lucchi, Pascal Fua, and Sabine S¨usstrunk"

+26a6b2051fe7970f94584e9efbfcf7bdcfd1d6d6,Diffeomorphic image registration with applications to deformation modelling between multiple data sets,"Diffeomorphic image registration
+with applications to deformation
+modelling between multiple data sets
+Bartłomiej Władysław Papież
+A thesis submitted in partial fulfilment
+for the requirements of the degree
+of Doctor of Philosophy
+The research presented in this thesis was carried out at the
+Applied Digital Signal and Image Processing Research Centre,
+School of Computing, Engineering and Physical Sciences,
+University of Central Lancashire,
+October 2012"

+26a32691321574ac1c90c58f47ec73fdfbc8507a,SATURN (Situational awareness tool for urban responder networks),"SATURN
+(Situational Awareness Tool for Urban Responder Networks)
+Heather Zwahlen
+Aaron Yahr
+Danielle Berven
+Michael T. Chan
+Maximilian Merfeld
+Christine Russ
+Jason Thornton
+MIT Lincoln Laboratory
+Lexington, MA
+{heatherz | ayahr | danielle.berven | mchan | max.merfeld
+| christine russ |"

+265644f1b6740ca34bfbe9762b90b33021adde62,Deep Learning in Medical Imaging: General Overview.,"Review Article | Experiment, Engineering, and Physics
+https://doi.org/10.3348/kjr.2017.18.4.570
+pISSN 1229-6929 · eISSN 2005-8330
+Korean J Radiol 2017;18(4):570-584
+Deep Learning in Medical Imaging: General Overview
+June-Goo Lee, PhD1, Sanghoon Jun, PhD2, 3, Young-Won Cho, MS2, 3, Hyunna Lee, PhD2, 3,
+Guk Bae Kim, PhD2, 3, Joon Beom Seo, MD, PhD2*, Namkug Kim, PhD2, 3*
+Biomedical Engineering Research Center, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea;  2Department of
+Radiology, Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea;  3Department of
+Convergence Medicine, Biomedical Engineering Research Center, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea
+The artificial neural network (ANN)–a machine learning technique inspired by the human neuronal synapse system–was
+introduced in the 1950s. However, the ANN was previously limited in its ability to solve actual problems, due to the vanishing
+gradient and overfitting problems with training of deep architecture, lack of computing power, and primarily the absence of
+sufficient data to train the computer system. Interest in this concept has lately resurfaced, due to the availability of big data,
+enhanced computing power with the current graphics processing units, and novel algorithms to train the deep neural network.
+Recent studies on this technology suggest its potentially to perform better than humans in some visual and auditory recognition
+tasks, which may portend its applications in medicine and healthcare, especially in medical imaging, in the foreseeable future.
+This review article offers perspectives on the history, development, and applications of deep learning technology, particularly
+regarding its applications in medical imaging.
+Keywords: Artificial intelligence; Machine learning; Convolutional neural network; Recurrent Neural Network; Computer-aided;"

+267bb08aa4eeefa1ef653716ca0ab572748a3a4e,Vision-Based Real-Time Aerial Object Localization and Tracking for UAV Sensing System,"Vision-based Real-Time Aerial Object Localization
+nd Tracking for UAV Sensing System
+Yuanwei Wu, Student Member,
+IEEE, Yao Sui, Member, IEEE, and Guanghui Wang, Member, IEEE"

+26a72e9dd444d2861298d9df9df9f7d147186bcd,Collecting and annotating the large continuous action dataset,"DOI 10.1007/s00138-016-0768-4
+ORIGINAL PAPER
+Collecting and annotating the large continuous action dataset
+Daniel Paul Barrett1 · Ran Xu2 · Haonan Yu1 · Jeffrey Mark Siskind1
+Received: 18 June 2015 / Revised: 18 April 2016 / Accepted: 22 April 2016 / Published online: 21 May 2016
+© The Author(s) 2016. This article is published with open access at Springerlink.com"

+269c1f9df4a36b361d32bfdc81457b0a32b60966,Dimensionality Reduction of Visual Features for Efficient Retrieval and Classification,"SIP (2016), vol. 5, e14, page 1 of 14 © The Authors, 2016.
+This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unre-
+stricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
+doi:10.1017/ATSIP.2016.14
+industrial technology advances
+Dimensionality reduction of visual features
+for efficient retrieval and classification
+petros t. boufounos1, hassan mansour1, shantanu rane2 and anthony vetro1
+Visual retrieval and classification are of growing importance for a number of applications, including surveillance, automotive,
+s well as web and mobile search. To facilitate these processes, features are often computed from images to extract discriminative
+spects of the scene, such as structure, texture or color information. Ideally, these features would be robust to changes in per-
+spective, illumination, and other transformations. This paper examines two approaches that employ dimensionality reduction
+for fast and accurate matching of visual features while also being bandwidth-efficient, scalable, and parallelizable. We focus on
+two classes of techniques to illustrate the benefits of dimensionality reduction in the context of various industrial applications.
+The first method is referred to as quantized embeddings, which generates a distance-preserving feature vector with low rate. The
+second method is a low-rank matrix factorization applied to a sequence of visual features, which exploits the temporal redun-
+dancy among feature vectors associated with each frame in a video. Both methods discussed in this paper are also universal in
+that they do not require prior assumptions about the statistical properties of the signals in the database or the query. Further-
+more, they enable the system designer to navigate a rate versus performance trade-off similar to the rate-distortion trade-off in
+onventional compression."

+26861e41e5b44774a2801e1cd76fd56126bbe257,Personalized Tour Recommendation Based on User Interests and Points of Interest Visit Durations,"Personalized Tour Recommendation based on User Interests and Points of Interest
+Visit Durations
+Kwan Hui Lim*†, Jeffrey Chan*, Christopher Leckie*† and Shanika Karunasekera*
+*Department of Computing and Information Systems, The University of Melbourne, Australia
+Victoria Research Laboratory, National ICT Australia, Australia"

+266766818dbc5a4ca1161ae2bc14c9e269ddc490,Boosting a Low-Cost Smart Home Environment with Usage and Access Control Rules,"Article
+Boosting a Low-Cost Smart Home Environment with
+Usage and Access Control Rules
+Paolo Barsocchi * ID , Antonello Calabrò, Erina Ferro, Claudio Gennaro ID and Eda Marchetti and
+Claudio Vairo
+Institute of Information Science and Technologies of CNR (CNR-ISTI)-Italy, 56124 Pisa, Italy;
+(A.C.); (E.F.); (C.G.);
+(E.M.); (C.V.)
+* Correspondence: Tel.: +39-050-315-2965
+Received: 27 April 2018; Accepted: 31 May 2018; Published: 8 June 2018"

+2606e6a5759c030e259ebf3f4261b9c04a36a609,Generating Semantically Precise Scene Graphs from Textual Descriptions for Improved Image Retrieval,"Proceedings of the 2015 Workshop on Vision and Language (VL’15), pages 70–80,
+Lisbon, Portugal, 18 September 2015. c(cid:13)2015 Association for Computational Linguistics."

+265af79627a3d7ccf64e9fe51c10e5268fee2aae,A Mixture of Transformed Hidden Markov Models for Elastic Motion Estimation,"A Mixture of Transformed Hidden Markov
+Models for Elastic Motion Estimation
+Huijun Di, Linmi Tao, and Guangyou Xu, Senior Member, IEEE"

+267595dd40cd109c93e67874a1cf49ce79871f3a,A Compromise Principle in Deep Monocular Depth Estimation,"A Compromise Principle in Deep Monocular Depth
+Estimation
+Huan Fu, Mingming Gong, Chaohui Wang, and Dacheng Tao, Fellow, IEEE"

+26c89f890da91119ffa16d5a23fba963257ef3fc,Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning,"Tattoo Image Search at Scale: Joint Detection
+nd Compact Representation Learning
+Hu Han, Member, IEEE, Jie Li, Anil K. Jain, Fellow, IEEE,
+Shiguang Shan, Senior Member, IEEE and Xilin Chen, Fellow, IEEE"

+26af867977f90342c9648ccf7e30f94470d40a73,Joint Gender and Face Recognition System for RGB-D Images with Texture and DCT Features,"IJIRST –International Journal for Innovative Research in Science & Technology| Volume 3 | Issue 04 | September 2016
+ISSN (online): 2349-6010
+Joint Gender and Face Recognition System for
+RGB-D Images with Texture and DCT Features
+Jesny Antony
+PG Student
+Department of Computer Science & Information Systems
+Federal Institute of Science and Technology,  Mookkannoor
+PO, Angamaly, Ernakulam, Kerala 683577, India
+Prasad J. C.
+Associate Professor
+Department of Computer Science & Engineering
+Federal Institute of Science and Technology,  Mookkannoor
+PO, Angamaly, Ernakulam, Kerala 683577, India"

+2663fa2f1777dc779a73d678c7919cce37b5fb61,Relevance - Weighted ( 2 D ) 2 LDA Image Projection Technique for Face Recognition,"Relevance-Weighted (2D)2LDA
+Image Projection Technique for Face Recognition
+In  this  paper,  a  novel  image  projection  technique  for
+face recognition application is proposed which is based on
+linear  discriminant  analysis  (LDA)  combined  with  the
+relevance-weighted  (RW)  method.  The  projection  is
+performed through 2-directional and 2-dimensional LDA,
+or  (2D)2LDA,  which  simultaneously  works  in  row  and
+olumn directions to solve the small sample size problem.
+Moreover, a weighted discriminant hyperplane is used in
+the  between-class  scatter  matrix,  and  an  RW  method  is
+used  in  the  within-class  scatter  matrix  to  weigh  the
+information  to  resolve  confusable  data  in  these  classes.
+This technique is called the relevance-weighted (2D)2LDA,
+or  RW(2D)2LDA,  which  is  used  for  a  more  accurate
+discriminant  decision  than  that  produced  by  the
+onventional  LDA  or  2DLDA.  The  proposed  technique
+has  been  successfully  tested  on  four  face  databases.
+Experimental  results
+the  proposed"

+26c884829897b3035702800937d4d15fef7010e4,Facial Expression Recognition by Supervised Independent Component Analysis Using MAP Estimation,"IEICE TRANS. INF. & SYST., VOL.Exx–??, NO.xx XXXX 200x
+PAPER
+Facial Expression Recognition by Supervised Independent
+Component Analysis using MAP Estimation
+Fan CHEN
+, Nonmember and Kazunori KOTANI
+, Member
+SUMMARY Permutation ambiguity of the classical Inde-
+pendent Component Analysis (ICA) may cause problems in fea-
+ture extraction for pattern classification. Especially when only a
+small subset of components is derived from data, these compo-
+nents may not be most distinctive for classification, because ICA
+is an unsupervised method. We include a selective prior for de-
+mixing coef‌f‌icients into the classical ICA to alleviate the problem.
+Since the prior is constructed upon the classification information
+from the training data, we refer to the proposed ICA model with
+selective prior as a supervised ICA (sICA). We formulated the
+learning rule for sICA by taking a Maximum a Posteriori (MAP)
+scheme and further derived a fixed point algorithm for learning
+the de-mixing matrix. We investigate the performance of sICA"

+26cdb9b6d94c1d6c6a01792fee3c176585f594ac,Hybrid Person Detection and Tracking in H.264/AVC Video Streams,"Hybrid Person Detection and Tracking in H.264/AVC Video Streams
+Philipp Wojaczek1, Marcus Laumer1,2, Peter Amon2, Andreas Hutter2 and André Kaup1
+Multimedia Communications and Signal Processing,
+Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
+Imaging and Computer Vision, Siemens Corporate Technology, Munich, Germany
+Keywords:
+Object Detection, Person Detection, Tracking, Compressed Domain, Pixel Domain, H.264/AVC, Mac-
+roblocks, Compression, Color Histogram, Hue, HSV, Segmentation."

+26ad6ceb07a1dc265d405e47a36570cb69b2ace6,Neural Correlates of Cross-Cultural Adaptation,"RESEARCH AND EXPLOR ATORY
+DEVELOPMENT DEPARTMENT
+REDD-2015-384
+Neural Correlates of Cross-Cultural
+How to Improve the Training and Selection for
+Military Personnel Involved in Cross-Cultural
+Operating Under Grant #N00014-12-1-0629/113056
+Adaptation
+September, 2015
+Interactions
+Jonathon Kopecky
+Jason Spitaletta
+Mike Wolmetz
+Alice Jackson
+Prepared for:
+Office of Naval Research"

+26ad124271c118e207113ae42f0fd3d30f204ea1,State of the Art Report on Video-Based Graphics and Video Visualization,"General Copyright Notice
+The documents distributed by this server have been provided by the contributing authors as a means to ensure timely
+dissemination of scholarly and technical work on a noncommercial basis. Copyright and all rights therein are maintained by the
+uthors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that
+ll persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works
+may not be reposted without the explicit permission of the copyright holder.
+R. Borgo, M. Chen, B. Daubney, E. Grundy, G. Heidemann, B. Höferlin, M. Höferlin, H. Leitte, D.
+Weiskopf, X. Xie:
+State of the Art Report on Video-Based Graphics and Video Visualization,
+Computer Graphics Forum, Vol. 31, No. 8, 2450-2477, 2012.
+DOI: 10.1111/j.1467-8659.2012.03158.x
+This is the author’s personal copy of the final, accepted version of the paper, which slightly differs from
+the version published in Computer Graphics Form.
+Copyright © 2012 The Eurographics Association and Blackwell Publishing Ltd.
+Preprint"

+260081528f19f6f7e8e5ae16a776b62ad8c2ed0d,An Agent Based WCET Analysis for Top-View Person Re-Identification,"An agent-based WCET analysis for Top-View
+Person Re-Identification
+Marina Paolanti, Valerio Placidi,
+Michele Bernardini, Andrea Felicetti, Rocco Pietrini, and
+Emanuele Frontoni
+Department of Information Engineering, Universit`a Politecnica delle Marche,
+Via Brecce Bianche 12, 60131, Ancona, Italy"

+26f5b8a79fac681ffb132c4863c51a55bc2b20e2,Visual speech synthesis from 3D mesh sequences driven by combined speech features,"VISUAL SPEECH SYNTHESIS FROM 3D MESH SEQUENCES DRIVEN BY COMBINED
+SPEECH FEATURES
+Felix Kuhnke and J¨orn Ostermann
+Institut f¨ur Informationsverarbeitung, Leibniz Universit¨at Hannover, Germany"

+26437fb289cd7caeb3834361f0cc933a02267766,Innovative Assessment Technologies: Comparing ‘Face-to-Face’ and Game-Based Development of Thinking Skills in Classroom Settings,"012 International Conference on Management and Education Innovation
+IPEDR vol.37 (2012) © (2012) IACSIT Press, Singapore
+Innovative Assessment Technologies: Comparing ‘Face-to-Face’ and
+Game-Based Development of Thinking Skills in Classroom Settings
+Gyöngyvér Molnár 1 + and András Lőrincz 2
+University of Szeged, 2 Eötvös Loránd University"

+2690264001ccd4b682b7b4c0334c80af6f5e9c9c,Sensor Transfer: Learning Optimal Sensor Effect Image Augmentation for Sim-to-Real Domain Adaptation,"Sensor Transfer: Learning Optimal Sensor Effect Image Augmentation
+for Sim-to-Real Domain Adaptation
+Alexandra Carlson1, Katherine A. Skinner1, Ram Vasudevan2 and Matthew Johnson-Roberson3"

+26e570049aaedcfa420fc8c7b761bc70a195657c,Hybrid Facial Regions Extraction for Micro-expression Recognition System,"J Sign Process Syst
+DOI 10.1007/s11265-017-1276-0
+Hybrid Facial Regions Extraction for Micro-expression
+Recognition System
+Sze-Teng Liong1,2,3 · John See4 · Raphael C.-W. Phan2 · KokSheik Wong5 ·
+Su-Wei Tan2
+Received: 2 February 2016 / Revised: 20 October 2016 / Accepted: 10 August 2017
+© Springer Science+Business Media, LLC 2017"

+264dcfb5be3f89dc0950472a2a274ef7b641b1af,Dynamic Objects Segmentation for Visual Localization in Urban Environments,"Dynamic Objects Segmentation for Visual
+Localization in Urban Environments
+G. Zhou1, B. Bescos2, M. Dymczyk1, M. Pfeiffer1, J. Neira2, R. Siegwart1"

+21b0b2f5df87318912d58d3b843da363a4fb91c3,"Distributed and Higher-Order Graphical Models: towards Segmentation, Tracking, Matching and 3D Model Inference Defended by","ECOLECENTRALEPARISPHDTHESIStoobtainthetitleofDoctorofEcoleCentraleParisSpecialty:APPLIEDMATHEMATICSDistributedandHigher-OrderGraphicalModels:towardsSegmentation,Tracking,Matchingand3DModelInferenceDefendedbyChaohuiWANGpreparedatEcoleCentraleParis,MASlaboratorydefendedonSeptember29,2011JURYChairman:Prof.HenriMAITRE-TélécomParisTechReviewers:Prof.MichaelJ.BLACK-MaxPlanckInstituteforIntelligentSystemsProf.PhilipH.S.TORR-OxfordBrookesUniversityAdvisor:Prof.NikosPARAGIOS-EcoleCentraleParisExaminers:Prof.PatrickBOUTHEMY-INRIA-RennesProf.VladimirKOLMOGOROV-InstituteofScienceandTechnologyAustriaProf.DimitrisSAMARAS-StonyBrookUniversity"

+21ef129c063bad970b309a24a6a18cbcdfb3aff5,Individual and Inter-related Action Unit Detection in Videos for Affect Recognition,"POUR L'OBTENTION DU GRADE DE DOCTEUR ÈS SCIENCESacceptée sur proposition du jury:Dr J.-M. Vesin, président du juryProf. J.-Ph. Thiran, Prof. D. Sander, directeurs de thèseProf. M. F. Valstar, rapporteurProf. H. K. Ekenel, rapporteurDr S. Marcel, rapporteurIndividual and Inter-related Action Unit Detection in Videos for Affect RecognitionTHÈSE NO 6837 (2016)ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNEPRÉSENTÉE LE 19 FÉVRIER 2016À LA FACULTÉ DES SCIENCES ET TECHNIQUES DE L'INGÉNIEURLABORATOIRE DE TRAITEMENT DES SIGNAUX 5PROGRAMME DOCTORAL EN GÉNIE ÉLECTRIQUE Suisse2016PARAnıl YÜCE"

+218b2c5c9d011eb4432be4728b54e39f366354c1,Enhancing Training Collections for Image Annotation: An Instance-Weighted Mixture Modeling Approach,"Enhancing Training Collections for Image
+Annotation: An Instance-Weighted Mixture
+Modeling Approach
+Neela Sawant, Student Member, IEEE, James Z. Wang, Senior Member, IEEE, Jia Li, Senior Member, IEEE."

+21967faefa55857c6a09f9fe52a10a394757d59c,Emotion Recognition Ability Test Using JACFEE Photos: A Validity/Reliability Study of a War Veterans' Sample and Their Offspring,"RESEARCH ARTICLE
+Emotion Recognition Ability Test Using
+JACFEE Photos: A Validity/Reliability Study of
+War Veterans' Sample and Their Offspring
+Ivone Castro-Vale1,5*, Milton Severo2,3, Davide Carvalho4,5, Rui Mota-Cardoso1
+Medical Psychology Unit, Department of Clinical Neurosciences and Mental Health, Faculty of Medicine,
+University of Porto, Porto, Portugal, 2 Department of Clinical Epidemiology, Predictive Medicine and Public
+Health, Faculty of Medicine, University of Porto, Porto, Portugal, 3 Department of Medical Education and
+Simulation, Faculty of Medicine, University of Porto, Porto, Portugal, 4 Department of Endocrinology,
+Diabetes and Metabolism, Centro Hospitalar Sāo Joāo, Faculty of Medicine, University of Porto, Porto,
+Portugal, 5 Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
+11111"

+21262e01039e5994114b4c102fc80e9afa3f1bde,Pedestrian Detection and Tracking in Thermal Images from Aerial MPEG Videos,

+21679eb7e953bd132803703c27dcd56484d497e6,"utism , oxytocin and interoception","Neuroscience  and  Biobehavioral  Reviews  47  (2014)  410–430
+Contents  lists  available  at  ScienceDirect
+Neuroscience
+Biobehavioral
+Reviews
+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 / n e u b i o r e v
+Review
+Autism,   oxytocin   and   interoception
+E.   Quattrocki∗,   Karl   Friston 1
+The  Wellcome  Trust  Centre  for  Neuroimaging,  UCL,  12  Queen  Square,  London  WC1N  3BG,  UK
+Article  history:
+Received  5  February  2014
+Received  in  revised  form  23  July  2014
+Accepted  20  September  2014
+Available  online  30  September  2014
+Keywords:
+Autism
+Oxytocin
+Interoception
+Bayesian  predictive  coding"

+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/
+tification, sparse coding"

+21f3c5b173503185c1e02a3eb4e76e13d7e9c5bc,Rotation Invariant Real-time Face Detection and Recognition System,"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   — a r t i f i c i a l   i n t e l l i g e n c e   l a b o r a t o r y
+Rotation Invariant Real-time
+Face Detection and
+Recognition System
+Purdy Ho
+AI Memo 2001-010
+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"

+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.
+Dept. of CS, Univ. of Texas at San Antonio
+Cupertino, CA 95014
+San Antonio, TX 78249"

+219b7b157f2a559ecdffe21c2a0edf5285931298,Deep hashing for compact binary codes learning,"Deep Hashing for Compact Binary Codes Learning
+Venice Erin Liong1, Jiwen Lu1, Gang Wang1,2, Pierre Moulin1,3, and Jie Zhou4
+ADSC, Singapore, 2NTU, Singapore, 3UIUC, USA, 4Tsinghua University, China
+Large scale visual search has attracted great attention in computer vision
+due to its wide potential applications [1]. Hashing is a powerful technique
+for large-scale visual search and a variety of hashing-based methods have
+een proposed in the literature [3, 4, 7]. The basic idea of hashing-based
+pproach is to construct a series of hash functions to map each visual object
+into a binary feature vector so that visually similar samples are mapped into
+similar binary codes.
+In this paper, we propose a new deep hashing (DH) method to learn
+ompact binary codes for large scale visual search. Figure 1 illustrates the
+asic idea of the proposed approach. Different from most existing binary
+odes learning methods which usually seek a single linear projection to map
+each sample into a binary vector [2, 5, 6], we develop a deep neural network
+to seek multiple hierarchical non-linear transformations to learn these bina-
+ry codes. For a given sample xn, we obtain a binary vector bn by passing
+it to a network which contains multiple stacked layers of nonlinear trans-
+formations. Assume we have M + 1 layers, the output for the mth layer is:
+n = s(Wmhm−1"

+2129304075990cd2f3317ea67a2acf52b7d7a3e2,Face Recognition and Detection through Similarity Measurements,"International Journal of Computer Applications (0975 – 8887)
+Volume 174 – No.3, September 2017
+Face Recognition and Detection through Similarity
+Measurements
+Irfan Bashir
+M.Tech( CSE) Schoral
+SMVDU, Kakryal Katra, Jummu"

+21e82350472bf6a12af0f761b8dea91cb16bf42f,Cost-Sensitive Convolution based Neural Networks for Imbalanced Time-Series Classification,"Cost-Sensitive Convolution based Neural
+Networks for Imbalanced Time-Series
+Classification
+Yue Geng* and Xinyu Luo
+Mechanical and Electrical Engineering Institute of CUMTB, Beijing, 100083, China
+E-mail:"

+214ac8196d8061981bef271b37a279526aab5024,Face Recognition Using Smoothed High-Dimensional Representation,"Face Recognition Using Smoothed High-Dimensional
+Representation
+Juha Ylioinas, Juho Kannala, Abdenour Hadid, and Matti Pietik¨ainen
+Center for Machine Vision Research, PO Box 4500,
+FI-90014 University of Oulu, Finland"

+218595e1979007ccd6b1bc5a30a3484841c0eafa,Discovering Beautiful Attributes for Aesthetic Image Analysis,"Noname manuscript No.
+(will be inserted by the editor)
+Discovering beautiful attributes for aesthetic image analysis
+Luca Marchesotti · Naila Murray · Florent Perronnin
+Received: date / Accepted: date"

+21913787b7ed62773926a287b60308d1960e6966,LR-CNN for fine-grained classification with varying resolution,"LR-CNN FOR FINE-GRAINED CLASSIFICATION WITH VARYING RESOLUTION
+M. Chevalier(1,2), N. Thome(1), M. Cord(1), J. Fournier(2), G. Henaff(2), E. Dusch(2)
+(1) Sorbonne Universit´es, UPMC Univ Paris 06, LIP6, 4 place Jussieu 75005 Paris, France
+(2) Thales Optronique S.A.S., 2 avenue Gay-Lussac, 78990 Elancourt, France"

+218603147709344d4ff66625d83603deee2854bf,Learning Deep Embeddings with Histogram Loss,"Learning Deep Embeddings with Histogram Loss
+Evgeniya Ustinova and Victor Lempitsky
+Skolkovo Institute of Science and Technology (Skoltech)
+Moscow, Russia"

+213a579af9e4f57f071b884aa872651372b661fd,Automatic and Efficient Human Pose Estimation for Sign Language Videos,"Int J Comput Vis
+DOI 10.1007/s11263-013-0672-6
+Automatic and Efficient Human Pose Estimation for Sign
+Language Videos
+James Charles · Tomas Pfister · Mark Everingham ·
+Andrew Zisserman
+Received: 4 February 2013 / Accepted: 29 October 2013
+© Springer Science+Business Media New York 2013"

+2155739f578e33449546f45a0b4cf64dbd614025,what is facereader ?,"FaceReader
+Methodology Note
+what is facereader?
+FaceReader™ is a program for facial analysis. It can detect
+facial expressions. FaceReader has been trained to classify
+expressions in one of the following categories: happy,
+sad, angry, surprised, scared, disgusted, and neutral. These
+emotional categories have been described by Ekman [1]
+s the basic or universal emotions. In addition to these
+asic emotions, contempt can be classified as expression,
+just like the other emotions [2]. Obviously, facial expres-
+sions vary in intensity and are often a mixture of emo-
+tions. In addition, there is quite a lot of interpersonal
+variation.
+Figure 1. Analyzing facial expressions with FaceReader.
+FaceReader has been trained to classify the expressions
+mentioned above. It is not possible to add expressions to
+the software yourself. Please contact Noldus Information
+Technology if you are interested in the classification of
+other expressions."

+21626caa46cbf2ae9e43dbc0c8e789b3dbb420f1,Transductive VIS-NIR face matching,"978-1-4673-2533-2/12/$26.00 ©2012 IEEE
+ICIP 2012"

+2118b1ce0c2551e75d30fb6ba24482e50b319a90,Ensemble Projection for Semi-supervised Image Classification,"Ensemble Projection for Semi-supervised Image Classification
+Dengxin Dai
+Computer Vision Lab, ETH Zurich
+Luc Van Gool
+Computer Vision Lab, ETH Zurich"

+216c61796c6ead27b1042046e1d95a2038624d26,Vehicle Re-identification Using Quadruple Directional Deep Learning Features,"Vehicle Re-identification Using Quadruple
+Directional Deep Learning Features
+Jianqing Zhu, Huanqiang Zeng, Jingchang Huang, Shengcai Liao, Zhen Lei, Canhui Cai and LiXin Zheng"

+21241d07840e3cc30feda59642571a9b459c817b,Biometrics via Oculomotor Plant Characteristics: Impact of Parameters in Oculomotor Plant Model,"This is a pre-print. Final version of the paper will be available at ACM digital library.
+Biometrics via Oculomotor Plant Characteristics:
+Impact of Parameters in Oculomotor Plant Model
+OLEG KOMOGORTSEV, COREY HOLLAND, ALEX KARPOV, AND LARRY R. PRICE Texas State University
+This  paper  proposes  and  evaluates  a  novel  biometric  approach  utilizing  the  internal,  non-visible,  anatomical  structure  of  the  human  eye.  The
+proposed method estimates the anatomical properties of the human oculomotor plant from the measurable properties of human eye movements,
+utilizing  a  two-dimensional  linear  homeomorphic  model  of  the  oculomotor  plant.  The  derived  properties  are  evaluated  within  a  biometric
+framework to determine their efficacy in both verification and identification scenarios. The results suggest that the physical properties derived from
+the oculomotor plant model are capable of achieving 20.3% equal error rate and 65.7% rank-1 identification rate on high-resolution equipment
+involving 32 subjects, with biometric samples taken over four recording sessions; or 22.2% equal error rate and 12.6% rank-1 identification rate on
+low-resolution equipment involving 172 subjects, with biometric samples taken over two recording sessions.
+Categories  and  Subject  Descriptors:  I.2.10  [Artificial  Intelligence]:  Vision  and  Scene  Understanding—Modeling  and  recovery  of  physical
+ttributes; I.5.1 [Pattern Recognition]: Models—Structural; I.6.4 [Simulation and Modeling]: Model Validation and Analysis
+General Terms: Biometrics
+Additional Key Words and Phrases: Human oculomotor system, biological system modeling, mathematical model, security and protection.
+ACM Reference Format:
+Komogortsev,  O.,  Holland,  C.,  Karpov,  A.,  and  Price,  L.  R.  2014.  Oculomotor  Plant  Characteristics:  Biometric  Performance  Evaluation.  ACM
+Trans. Appl. Percept. 2, 3, Article 1 (May 2014), 13 pages.
+DOI:http://dx.doi.org/10.1145/0000000.0000000
+INTRODUCTION"

+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"

+2170636d5d31eb461618b5da10f4473c67e74e73,Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function,"Person Re-Identification by Multi-Channel Parts-Based CNN with Improved
+Triplet Loss Function
+De Cheng, Yihong Gong, Sanping Zhou, Jinjun Wang, Nanning Zheng
+Institute of Artificial Intelligence and Robotics
+Xi’an Jiaotong University,Xi’an, Shaanxi, P.R. China"

+21ff1d20dd7b3e6b1ea02036c0176d200ec5626d,Loss Max-Pooling for Semantic Image Segmentation,"Loss Max-Pooling for Semantic Image Segmentation
+Samuel Rota Bul`o(cid:63),†
+Gerhard Neuhold†
+Peter Kontschieder†
+Mapillary - Graz, Austria -
+(cid:63)FBK - Trento, Italy -"

+2168ec12eff5c3d1ff09d0f3c13d6df5b5061164,Face recognition with salient local gradient orientation binary patterns,"978-1-4244-5654-3/09/$26.00 ©2009 IEEE
+ICIP 2009"

+21ac5d1c34675bf6056d2670f9fa3dde530b1716,ALB at SemEval-2018 Task 10: A System for Capturing Discriminative Attributes,"Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval-2018), pages 963–967
+New Orleans, Louisiana, June 5–6, 2018. ©2018 Association for Computational Linguistics"

+21a1654b856cf0c64e60e58258669b374cb05539,"You Only Look Once: Unified, Real-Time Object Detection","You Only Look Once:
+Unified, Real-Time Object Detection
+Joseph Redmon∗, Santosh Divvala∗†, Ross Girshick¶, Ali Farhadi∗†
+University of Washington∗, Allen Institute for AI†, Facebook AI Research¶
+http://pjreddie.com/yolo/"

+4dd2744a37bd1e666346a41dcd2a271945c74e2f,Human-Robot Teaming : Approaches from Joint Action and Dynamical Systems,"Human Robot Teaming: Approaches from Joint
+Action and Dynamical Systems
+Tariq Iqbal and Laurel D. Riek"

+4d510bca00b625f86606cb0096299b993090534a,Small Sample Learning in Big Data Era,"Small Sample Learning in Big Data Era
+Jun Shu
+Zongben Xu
+Deyu Meng
+School of Mathematics and Statistics
+Ministry of Education Key Lab of Intelligent Networks and Network Security
+Xi’an Jiaotong University, Xian, China"

+4dade6faf6d5d6db53d5bcb2e107311da1ad48ac,Facial Expression Biometrics Using Statistical Shape Models,"Hindawi Publishing Corporation
+EURASIP Journal on Advances in Signal Processing
+Volume 2009, Article ID 261542, 17 pages
+doi:10.1155/2009/261542
+Research Article
+Facial Expression Biometrics Using Statistical Shape Models
+Wei Quan, Bogdan J. Matuszewski (EURASIP Member), Lik-Kwan Shark,
+nd Djamel Ait-Boudaoud
+Applied Digital Signal and Image Processing Research Centre, University of Central Lancashire, Preston PR1 2HE, UK
+Correspondence should be addressed to Bogdan J. Matuszewski,
+Received 30 September 2008; Revised 2 April 2009; Accepted 18 August 2009
+Recommended by Jonathon Phillips
+This paper describes a novel method for representing different facial expressions based on the shape space vector (SSV) of the
+statistical shape model (SSM) built from 3D facial data. The method relies only on the 3D shape, with texture information not
+eing used in any part of the algorithm, that makes it inherently invariant to changes in the background, illumination, and to
+some extent viewing angle variations. To evaluate the proposed method, two comprehensive 3D facial data sets have been used
+for the testing. The experimental results show that the SSV not only controls the shape variations but also captures the expressive
+haracteristic of the faces and can be used as a significant feature for facial expression recognition. Finally the paper suggests
+improvements of the SSV discriminatory characteristics by using 3D facial sequences rather than 3D stills.
+Copyright © 2009 Wei Quan et al. This is an open access article distributed under the Creative Commons Attribution License,"

+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,
+Juan J. Villanueva
+Computer Vision Center and Departament d’Inform(cid:18)atica, Edi(cid:12)ci O, Universitat
+Aut(cid:18)onoma de Barcelona 
+4da735d2ed0deeb0cae4a9d4394449275e316df2,"The rhythms of head, eyes and hands at intersections","Gothenburg, Sweden, June 19-22, 2016
+978-1-5090-1820-8/16/$31.00 ©2016 IEEE"

+4db64fbc3dd2486a74dba3350d44c51e561f515f,An Ecological Visual Exploration Tool to Support the Analysis of Visual Processing Pathways in Children with Autism Spectrum Disorders,"Article
+An Ecological Visual Exploration Tool to Support the
+Analysis of Visual Processing Pathways in Children
+with Autism Spectrum Disorders
+Dario Cazzato 1, Marco Leo 2,*, Cosimo Distante 2, Giulia Crifaci 3,
+Giuseppe Massimo Bernava 4, Liliana Ruta 4, Giovanni Pioggia 4 and Silvia M. Castro 5
+Interdisciplinary Centre for Security Reliability and Trust (SnT), University of Luxembourg, 29,
+Avenue JF Kennedy, L-1855 Luxembourg, Luxembourg;
+Institute of Applied Sciences and Intelligence Systems—CNR, 73100 Lecce, Italy;
+Department of Clinical Physiology, CNR Pisa, 56124 Pisa, Italy;
+Institute of Applied Sciences and Intelligence Systems—CNR, 98164 Messina, Italy;
+(G.M.B.); (L.R.); (G.P.)
+5 Universidad Nacional del Sur, 8000 Bahía Blanca, Argentina;
+* Correspondence:
+Received: 6 November 2017; Accepted: 19 December 2017; Published: 29 December 2017"

+4dc6659b5022ecc2c4e1459e9dff16ddece4147e,Transfer Learning for Illustration Classification,"CEIG - Spanish Computer Graphics Conference (2017)
+F. J. Melero and N. Pelechano (Editors)
+Transfer Learning for Illustration Classification
+Manuel Lagunas1 Elena Garces2
+Universidad de Zaragoza, I3A
+Technicolor
+Figure 1: Comparison of the probabilities of the images that belong to the class pelican using our method and the network VGG19 [SZ14].
+image (a) is a photograph and image (b) is an illustration which has similar colours, gradients and edges than the natural image. On the"

+4d1fc3245b05731a313e61165c1109f42f5b4a0c,Facial expression recognition using local binary patterns and discriminant kernel locally linear embedding,"Zhao and Zhang EURASIP Journal on Advances in Signal Processing 2012, 2012:20
+http://asp.eurasipjournals.com/content/2012/1/20
+RESEARCH
+Facial expression recognition using local binary
+patterns and discriminant kernel locally linear
+embedding
+Xiaoming Zhao1 and Shiqing Zhang2*
+Open Access"

+4d4b1aa87af8bfd65ac7bc250bba5951aed40986,A Survey on Model Based Approaches for 2D and 3D Visual Human Pose Recovery,"Sensors 2014, 14, 4189-4210; doi:10.3390/s140304189
+OPEN ACCESS
+sensors
+ISSN 1424-8220
+www.mdpi.com/journal/sensors
+Review
+A Survey on Model Based Approaches for 2D and 3D Visual
+Human Pose Recovery
+Xavier Perez-Sala 1
+,*, Sergio Escalera 2, Cecilio Angulo 3 and Jordi Gonz`alez 4
+Fundaci´o Privada Sant Antoni Abat, Vilanova i la Geltr´u, Universitat Polit`ecnica de Catalunya,
+Vilanova i la Geltr´u 08800, Catalonia, Spain
+Department Mathematics (MAIA), Universitat de Barcelona and Computer Vision Center (CVC),
+Barcelona 08007, Catalonia, Spain; E-Mail:
+Automatic Control Department (ESAII), Universitat Polit`ecnica de Catalunya,
+Vilanova i la Geltr´u 08800, Catalonia, Spain; E-Mail:
+Department Computer Science, Universitat Aut`onoma de Barcelona and Computer Vision Center
+(CVC), Bellaterra 08193, Catalonia, Spain; E-Mail:
+* Author to whom correspondence should be addressed; E-Mail:
+Received: 29 November 2013; in revised form: 30 January 2014 / Accepted: 9 February 2014 /"

+4de83b6025526ef7a340ffca30626dac53d7f8cb,SIFT/LBP 3D face recognition,"SIFT/LBP 3D face recognition
+Narimen SAAD1  NourEddine DJEDI
+Department of Computer Science
+LESIA Laboratory
+University of Biskra, Algeria"

+4d530a4629671939d9ded1f294b0183b56a513ef,Facial Expression Classification Method Based on Pseudo Zernike Moment and Radial Basis Function Network,"International Journal of Machine Learning and Computing, Vol. 2, No. 4, August 2012
+Facial Expression Classification Method Based on Pseudo
+Zernike Moment and Radial Basis Function Network
+Tran Binh Long, Le Hoang Thai, and Tran Hanh"

+4d87784afdb704d9eca14010212afd5cd74c60ec,Cosine Similarity Search with Multi Index Hashing,"Cosine Similarity Search
+with Multi-Index Hashing
+Sepehr Eghbali and Ladan Tahvildari"

+4dd72cdafead8a98dbc77a1a74bd66ffb90d3e01,Virtual and Real World Adaptation for Pedestrian Detection,"Virtual and Real World Adaptation for
+Pedestrian Detection
+David V ´azquez, Antonio M. L ´opez, Member, IEEE, Javier Mar´ın, Daniel Ponsa, David Ger ´onimo"

+4d8347a69e77cc02c1e1aba3a8b6646eac1a0b3d,Re-ID done right: towards good practices for person re-identification,"Re-ID done right: towards good practices for person re-identification
+Jon Almaz´an1 Bojana Gaji´c2∗ Naila Murray1 Diane Larlus1
+Computer Vision Group
+NAVER LABS Europe
+Computer Vision Center
+Dept. de Ci`encies de la Computaci´o, UAB"

+4d2022e3db712237b95fe381a75dbeb827551924,Running Head : GENDER CATEGORIZATION IN INFANTS AND CHILDREN 1 Gender Categorization in Infants and Children,"Running Head: GENDER CATEGORIZATION IN INFANTS AND CHILDREN
+Gender Categorization in Infants and Children
+Hong N. T. Bui
+Senior Thesis in Psychology
+Advisor: Karen Wynn
+April 27, 2018"

+4d2975445007405f8cdcd74b7fd1dd547066f9b8,Image and Video Processing for Affective Applications,"Image and Video Processing
+for Affective Applications
+Maja Pantic and George Caridakis"

+4d45612c41d3e27a30a5ec64e0d8e2362dcb6b73,Brand > Logo: Visual Analysis of Fashion Brands,"Brand > Logo: Visual Analysis of Fashion
+Brands
+M. Hadi Kiapour and Robinson Piramuthu
+eBay, San Francisco CA 94105, USA"

+4ddd55a9f103001da8dc24d123d9223dbb67f884,Combining Face and Facial Feature Detectors for Face Detection Performance Improvement,"Combining face and facial feature detectors for
+face detection performance improvement
+M. Castrill´on-Santana, D. Hern´andez-Sosa, and J. Lorenzo-Navarro(cid:63)
+SIANI
+Universidad de Las Palmas de Gran Canaria, Spain"

+4dba7e19e2958d8ab75261219747aebc675c6f8a,Finding the Topic of a Set of Images,"Finding the Topic of a Set of Images
+Gonzalo Vaca-Castano
+Univeristy of Central Florida"

+4df54d4758b1a883902c036b2a10ef6d0f2d4af9,An Automatic Face Recognition System Based On Adaptive Wavelet Transforms,"International Journal of Scientific Research and Engineering Studies (IJSRES)
+Volume 2 Issue 4, April 2015
+ISSN: 2349-8862
+An Automatic Face Recognition System Based On Adaptive
+Wavelet Transforms
+Prof. Khaladkar
+Nilam Chavan
+Apurva Kadam"

+4db9e5f19366fe5d6a98ca43c1d113dac823a14d,"Are 1, 000 Features Worth A Picture? Combining Crowdsourcing and Face Recognition to Identify Civil War Soldiers","Combining Crowdsourcing and Face Recognition to Identify Civil War Soldiers
+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"

+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"

+4d20fbd6dcdb4408dd6268951d86b92e8d96f332,Robust Face Recognition of Variations in Blur and Illumination by Using LDA,"International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622
+International Conference on Humming Bird ( 01st March 2014)
+RESEARCH ARTICLE
+OPEN ACCESS
+Robust Face Recognition of Variations in Blur and Illumination
+y Using LDA
+Ms. K. Hema
+PG Student
+Department of AE
+University College of Engineering
+Nagercoil-629004.
+Mr. J. Arun Prem Santh M. E.,
+Teaching Fellow
+Department of ECE
+University College of Engineering
+Nagercoil-629004 ."

+4d334cfafd11a93394917adcffef6c1d27aa178b,Refined Clustering technique based on boosting and outlier detection,"International Journal of Scientific & Engineering Research, Volume 6, Issue 11, November-2015                                                                                                 472
+ISSN 2229-5518
+Refined Clustering technique based on boosting
+nd outlier detection
+Ms. Reshma Y. Nagpure, Prof. P. P. Rokade"

+4d6043a25bf48c6fd6aff6a46597fe1902a9c6a7,Long-term tracking of multiple interacting pedestrians using a single camera,"Long-term tracking of multiple interacting
+pedestrians using a single camera
+Mogomotsi Keaikitse∗, Willie Brink† and Natasha Govender∗
+Modelling and Digital Sciences
+Council for Scientific and Industrial Research
+Pretoria, South Africa
+Department of Mathematical Sciences
+Stellenbosch University
+Stellenbosch, South Africa"

+4d6e7d73f5226142ffc42b4e8380882d5071e187,Discretion Within Constraint: Homophily and Structure in a Formal Organization,"This article was downloaded by: [128.32.74.70] On: 03 July 2014, At: 15:15
+Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
+INFORMS is located in Maryland, USA
+Publication details, including instructions for authors and subscription information:
+http://pubsonline.informs.org
+Discretion Within Constraint: Homophily and Structure in
+Formal Organization
+Adam M. Kleinbaum, Toby E. Stuart, Michael L. Tushman
+To cite this article:
+Adam M. Kleinbaum, Toby E. Stuart, Michael L. Tushman (2013) Discretion Within Constraint: Homophily and Structure in a
+Full terms and conditions of use: http://pubsonline.informs.org/page/terms-and-conditions
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+inclusion of an advertisement in this article, neither constitutes nor implies a guarantee, endorsement, or
+support of claims made of that product, publication, or service.
+Copyright © 2013, INFORMS
+Please scroll down for article—it is on subsequent pages"

+4d442ea40635a10fd3e642a7161dfc8f2b15a71e,An Image reranking model based on attributes and visual features eliminating duplication,"© 2016 IJEDR | Volume 4, Issue 2 | ISSN: 2321-9939
+An Image reranking model based on attributes and
+visual features eliminating duplication
+Ms.Madhuri Mhaske,2Prof.Sachin Patil
+PG Scholar at G. H. Raisoni College of Engineering and Management, Chas, Ahmednagar
+, 2Professor at G. H. Raisoni College of Engineering and Management, Vagholi, Pune
+________________________________________________________________________________________________________"

+4d7e1eb5d1afecb4e238ba05d4f7f487dff96c11,Largest center-specific margin for dimension reduction,"978-1-5090-4117-6/17/$31.00 ©2017 IEEE
+ICASSP 2017"

+4d5c34fb36cf8c74880a62814750760bce0aef16,Boosting descriptors condensed from video sequences for place recognition,"Boosting Descriptors Condensed from Video Sequences for Place Recognition
+Tat-Jun Chin, Hanlin Goh and Joo-Hwee Lim
+Institute for Infocomm Research
+1 Heng Mui Keng Terrace, Singapore 119613.
+{tjchin, hlgoh,"

+4df34e0194faa27078832cb5078a2af6c9d0ea9b,Saliency Prediction in the Deep Learning Era: An Empirical Investigation,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
+Saliency Prediction in the Deep Learning Era:
+An Empirical Investigation
+Ali Borji, Member, IEEE"

+4d6ad0c7b3cf74adb0507dc886993e603c863e8c,Human Activity Recognition Based on Wearable Sensor Data : A Standardization of the State-ofthe-Art,"Human Activity Recognition Based on Wearable
+Sensor Data: A Standardization of the
+State-of-the-Art
+Artur Jord˜ao, Antonio C. Nazare Jr., Jessica Sena and William Robson Schwartz
+Smart Surveillance Interest Group, Computer Science Department
+Universidade Federal de Minas Gerais, Brazil
+Email: {arturjordao, antonio.nazare, jessicasena,"

+4d7bbaa2c7e89d5ba6940ee5804cf10a6b24d6ec,Multi-target Unsupervised Domain Adaptation without Exactly Shared Categories,"Multi-target Unsupervised Domain Adaptation
+without Exactly Shared Categories
+Huanhuan Yu, Menglei Hu and Songcan Chen"

+4dca3d6341e1d991c902492952e726dc2a443d1c,Learning towards Minimum Hyperspherical Energy,"Learning towards Minimum Hyperspherical Energy
+Weiyang Liu1,*, Rongmei Lin2,*, Zhen Liu1,*, Lixin Liu3,*, Zhiding Yu4, Bo Dai1,5, Le Song1,6
+Georgia Institute of Technology 2Emory University
+South China University of Technology 4NVIDIA 5Google Brain 6Ant Financial"

+4d0ef449de476631a8d107c8ec225628a67c87f9,Face system evaluation toolkit: Recognition is harder than it seems,"© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE
+must  be  obtained  for  all  other  uses,  in  any  current  or  future  media,  including
+reprinting/republishing  this  material  for  advertising  or  promotional  purposes,
+reating  new  collective  works,  for  resale  or  redistribution  to  servers  or  lists,  or
+reuse of any copyrighted component of this work in other works.
+Pre-print of article that appeared at BTAS 2010.
+The published article can be accessed from:
+http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5634517"

+4d231311cdfe3aba13766bd0b358d4db0a9af3d3,Processing and Recognising Faces in 3D Images,"We are IntechOpen,
+the world’s leading publisher of
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+4dea287ad9271d4ac73c58c03b8e6e714dd2db6c,Pyramid Center - symmetric Local 1 Binary / Trinary Patterns for Pedestrian 2 Detection,"Pyramid Center-symmetric Local
+Binary/Trinary Patterns for Pedestrian
+Detection
+Yongbin Zheng, Chunhua Shen, Richard Hartley and Xinsheng Huang
+Australian National University and NICTA, Canberra"

+4d47261b2f52c361c09f7ab96fcb3f5c22cafb9f,Deep multi-frame face super-resolution,"Deep multi-frame face super-resolution
+Evgeniya Ustinova, Victor Lempitsky
+October 17, 2017"

+4dc8b1c193c421f8f570c0a7eac2fc73da06cb51,MODS: Fast and Robust Method for Two-View Matching,"MODS: Fast and Robust Method for Two-View
+Matching
+Dmytro Mishkin, Jiri Matas, Michal Perdoch
+Center for Machine Perception, Faculty of Electrical Engineering,
+Czech Technical University in Prague. Karlovo namesti, 13. Prague 2, 12135"

+4d9d25e67ebabbfc0acd63798f1a260cb2c8a9bd,Playing for Data: Ground Truth from Computer Games,"Playing for Data: Ground Truth from Computer Games
+Stephan R. Richter∗1 Vibhav Vineet∗2
+Stefan Roth1 Vladlen Koltun2
+TU Darmstadt
+Intel Labs"

+4d3a6c2cee0cf06ff6471fad3d65a5835d0552f8,3-D Face Recognition Using Geodesic-Map Representation and Statistical Shape Modelling,"Article
+­D Face Recognition Using Geodesic­Map
+Representation and Statistical Shape Modelling
+Quan, Wei, Matuszewski, Bogdan and Shark, Lik
+Available at http://clok.uclan.ac.uk/13240/
+Quan, Wei, Matuszewski, Bogdan and Shark, Lik (2016) 3­D Face Recognition Using Geodesic­
+Map Representation and Statistical Shape Modelling. Lecture Notes in Computer Science, 9493 .
+pp. 199­212. ISSN 0302­9743
+It is advisable to refer to the publisher’s version if you intend to cite from the work.
+http://dx.doi.org/10.1007/978-3-319-27677-9_13
+For more information about UCLan’s research in this area go to
+http://www.uclan.ac.uk/researchgroups/ and search for <name of research Group>.
+For information about Research generally at UCLan please go to
+http://www.uclan.ac.uk/research/
+All outputs in CLoK are protected by Intellectual Property Rights law, including
+Copyright law.  Copyright, IPR and Moral Rights for the works on this site are retained
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+of this material are defined in the http://clok.uclan.ac.uk/policies/
+Central Lancashire online Knowledge
+www.clok.uclan.ac.uk"

+4df3143922bcdf7db78eb91e6b5359d6ada004d2,The Chicago face database: A free stimulus set of faces and norming data.,"Behav Res (2015) 47:1122–1135
+DOI 10.3758/s13428-014-0532-5
+The Chicago face database: A free stimulus set of faces
+nd norming data
+Debbie S. Ma & Joshua Correll & Bernd Wittenbrink
+Published online: 13 January 2015
+# Psychonomic Society, Inc. 2015"

+75827a2021ac2ad2256144b2a2fe301948d39b51,AI Benchmark: Running Deep Neural Networks on Android Smartphones,"AI Benchmark: Running Deep Neural Networks
+on Android Smartphones
+Andrey Ignatov
+ETH Zurich
+Radu Timofte
+ETH Zurich
+William Chou
+Qualcomm, Inc.
+Ke Wang
+Huawei, Inc.
+Max Wu
+MediaTek, Inc.
+Tim Hartley
+Arm, Inc.
+Luc Van Gool ∗
+ETH Zurich"

+75cb21fa931e957941c0237a1030aa36209bae36,Gaussian Process for Activity Modeling and Anomaly Detection,"GAUSSIAN PROCESS FOR ACTIVITY MODELING AND ANOMALY DETECTION
+Wentong Liaoa, Bodo Rosenhahna, Michael Ying Yangb
+Institute for Information Processing, Leibniz University Hannover, Germany
+Computer Vision Lab, TU Dresden, Germany
+KEY WORDS: Gaussian Process regression, activity modeling, anomaly detection
+Commission WG III/3"

+75879ab7a77318bbe506cb9df309d99205862f6c,Analysis of emotion recognition from facial expressions using spatial and transform domain methods,"Analysis Of Emotion Recognition From Facial
+Expressions Using Spatial And Transform Domain
+Methods
+Ms. P. Suja* and Dr. Shikha Tripathi"

+75d571d53eb250e222d66461fa2400956b40eaa9,What Makes a Photograph Memorable?,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.
+What makes a photograph memorable?
+Phillip Isola, Jianxiong Xiao, Member, IEEE, Devi Parikh, Member, IEEE, Antonio Torralba, Member, IEEE,
+nd Aude Oliva"

+75d59ae0ed3ce51e37b383985cfff310251f591a,Cost-Sensitive Robustness against Adversarial Examples,"Cost-Sensitive Robustness against Adversarial Examples
+Xiao Zhang∗
+nd David Evans†"

+75a9d9ea6c1a5ee55fc0ccb347b263785b15ac0a,An Image Search Reranking Model based on attribute assisted hypergraph Miss,"International Research Journal of Engineering and Technology (IRJET)      e-ISSN: 2395 -0056
+Volume: 03 Issue: 05 | May-2016                       www.irjet.net                                                               p-ISSN: 2395-0072
+An Image Search Reranking Model based on
+ttribute assisted hypergraph
+Miss. Madhuri J.Mhaske1, Prof. Sachin P.Patil2
+PG Scholar Computer Engineering , G. H. Raisoni College of Engineering and Management,
+Savitribai Phule Pune University , Chas, Ahmednagar.414001,Maharashtra, India.
+Assistant professor, computer engineering, G.H. Raisoni College of engineering and Management,
+Savitribai Phule Pune University, Wagholi, Pune 411015, Maharashtra, India.
+---------------------------------------------------------------------***---------------------------------------------------------------------
+user wants to search for a red image, the images cannot be"

+758572c5779a47e898caff7232af76eda253163b,Csr: Medium: Collaborative Research: Architecture and System Support for Power-agile Computing,"CSR: MEDIUM: COLLABORATIVE RESEARCH: ARCHITECTURE AND
+SYSTEM SUPPORT FOR POWER-AGILE COMPUTING
+Co-PI: Geoffrey Challen (University at Buffalo), Co-PI: Mark Hempstead (Drexel University)
+NSF PROPOSAL
+5 OCT 2013
+As energy management on energy-constrained devices continues to challenge researchers and frustrate
+users, device designs are addressing the problem by integrating more hardware components that can trade
+off energy and performance. Dynamic voltage-and-frequency scaling (DVFS) allows CPUs and memory
+to trade off speed and energy, buffering and polling rates allow radios to trade off latency and energy,
+nd screen refresh rates allow displays to trade off quality and energy. And as the Dark Silicon utilization
+wall forces systems to choose what parts of the CPU to operate, the already-large configuration space will
+explode. This proposal refers to the emerging class of devices integrating multiple energy-proportional
+omponents as power-agile, reflecting their potential ability to adaptively reallocate energy usage between
+omponents to improve performance and save energy. But as energy-management features proliferate,
+new interfaces enabling coordination between applications, the operating system (OS), and hardware are
+urgently needed to realize the potential energy and performance benefits.
+INTELLECTUAL MERIT: Our proposal describes a new architecture for power-agile systems with both
+novel interfaces that cleanly separate energy management responsibilities and a new approach to energy
+llocation driven by differences in hardware energy efficiency. Applications use resource requests to allo-
+ate energy between hardware components, making their resource needs explicit. The OS manages energy"

+75a92d92ee59555c847973a7422d7356514cde2d,Exploiting Multiple Detections for Person Re-Identification,"Article
+Exploiting Multiple Detections for
+Person Re-Identification
+Amran Bhuiyan *, Alessandro Perina and Vittorio Murino
+Pattern Analysis and Computer Vision (PAVIS), Istituto Italiano di Tecnologia, Via Morego 30,
+6163 Genova, Italy; (A.P.); (V.M.)
+* Correspondence: Tel.: +39-331-803-7176
+Received: 18 November 2017; Accepted: 11 January 2018; Published: 23 January 2018"

+7557e81c1189f0ef9643519e0664d60baed51721,Robust and Efficient Graph Correspondence Transfer for Person Re-identification,"DRAFT
+Transfer for Person Re-identification
+Qin Zhou, Heng Fan, Hua Yang, Member, IEEE, Hang Su, Member, IEEE, Shibao Zheng, Member, IEEE,
+Shuang Wu, and Haibin Ling, Member, IEEE"

+751e11880b54536a89bfcc4fd904b0989345a601,Hierarchical Adversarially Learned Inference,"HIERARCHICAL ADVERSARIALLY LEARNED
+INFERENCE
+Mohamed Ishmael Belghazi1, Sai Rajeswar1, Olivier Mastropietro1,
+Negar Rostamzadeh2, Jovana Mitrovic2 and Aaron Courville1†
+MILA, Université de Montréal,
+Element AI,
+DeepMind,
+CIFAR Fellow."

+75503aff70a61ff4810e85838a214be484a674ba,Improved facial expression recognition via uni-hyperplane classification,"Improved Facial Expression Recognition via Uni-Hyperplane Classification
+S.W. Chew∗, S. Lucey†, P. Lucey‡, S. Sridharan∗, and J.F. Cohn‡"

+754fa133a250d824c50b4c3b9c73975059954f41,Siamese Learning Visual Tracking: A Survey,"Siamese Learning Visual Tracking: A Survey
+Roman Pflugfelder, Member, IEEE
+(Draft Article)"

+75308067ddd3c53721430d7984295838c81d4106,Rapid Facial Reactions in Response to Facial Expressions of Emotion Displayed by Real Versus Virtual Faces,"Article
+Rapid Facial Reactions
+in Response to Facial
+Expressions of Emotion
+Displayed by Real Versus
+Virtual Faces
+i-Perception
+018 Vol. 9(4), 1–18
+! The Author(s) 2018
+DOI: 10.1177/2041669518786527
+journals.sagepub.com/home/ipe
+Leonor Philip, Jean-Claude Martin and Ce´ line Clavel
+LIMSI, CNRS, University of Paris-Sud, Orsay, France"

+750e567370fd8c37bab657207195517405727a71,Time Aware Task Delegation in Agent Interactions for Video-Surveillance,"Time aware task delegation in agent interactions
+for video-surveillance
+Paolo Sernani1, Matteo Biagiola2,3, Nicola Falcionelli1,
+Dagmawi Neway Mekuria1, Stefano Cremonini4, Aldo Franco Dragoni1
+Dipartimento di Ingegneria dell’Informazione,
+Universit`a Politecnica delle Marche,
+Ancona, Italy
+{p.sernani,
+{n.falcionelli,
+Fondazione Bruno Kessler,
+Trento, Italy
+Universit`a degli Studi di Genova,
+Genova, Italy
+Site Spa, Bologna, Italy"

+75d8f2da0e9d80eef141c765254d7752445afb53,Violent video detection based on MoSIFT feature and sparse coding,"014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP)
+978-1-4799-2893-4/14/$31.00 ©2014 IEEE
+Long Xu1, Chen Gong1, Jie Yang1(cid:3), Qiang Wu2, Lixiu Yao1
+. INTRODUCTION"

+75e4efae6de6d1ac787a6ca381fb49381fcb062b,Hierarchical Representation Learning for Kinship Verification,"IEEE TRANSACTIONS ON IMAGE PROCESSING
+Hierarchical Representation Learning for Kinship
+Verification
+Naman Kohli, Student Member, IEEE, Mayank Vatsa, Senior Member, IEEE, Richa Singh, Senior Member, IEEE,
+Afzel Noore, Senior Member, IEEE, and Angshul Majumdar, Senior Member, IEEE"

+75d5e67e31cefa09ae46044fa1f9f7696e058c99,MRI based Techniques for Detection of Alzheimer: A Survey,"MRI based Techniques for Detection of Alzheimer: A Survey
+{tag}                                                 {/tag}
+International Journal of Computer Applications
+Foundation of Computer Science (FCS), NY, USA
+Volume 159
+Number 5
+Year of Publication: 2017
+Authors:
+Ruaa Adeeb Abdulmunem Al-falluji
+10.5120/ijca2017912929
+{bibtex}2017912929.bib{/bibtex}"

+759a3b3821d9f0e08e0b0a62c8b693230afc3f8d,Attribute and simile classifiers for face verification,"Attribute and Simile Classifiers for Face Verification
+Neeraj Kumar
+Alexander C. Berg
+Peter N. Belhumeur
+Columbia University∗
+Shree K. Nayar"

+75e9401e70c05c4d080e2d17f83ed2b61b44b3af,A distributed algorithm for partitioned robust submodular maximization,"A Distributed Algorithm for Partitioned
+Robust Submodular Maximization
+Ilija Bogunovic, Slobodan Mitrovi´c, Jonathan Scarlett, and Volkan Cevher
+École Polytechnique Fédérale de Lausanne (EPFL)
+{ilija.bogunovic, slobodan.mitrovic, jonathan.scarlett,"

+7538ad235caf4dbc64a8b94a6146e1212d4de1ff,Amygdala dysfunction in men with the fragile X premutation.,"doi:10.1093/brain/awl338
+Brain (2007), 130, 404–416
+Amygdala dysfunction in men with the fragile
+X premutation
+David Hessl,1,2 Susan Rivera,1,5 Kami Koldewyn,1,6 Lisa Cordeiro,1 John Adams,1 Flora Tassone,1,4
+Paul J. Hagerman1,4 and Randi J. Hagerman1,3
+Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and Departments of 2Psychiatry and Behavioral
+Sciences, 3Pediatrics, University of California-Davis, Medical Center, Sacramento, 4Department of Biochemistry and
+Molecular Medicine, University of California-Davis, School of Medicine, 5Department of Psychology and 6Center for
+Neuroscience, University of California-Davis, Davis, CA, USA
+Correspondence to: David Hessl, PhD, Assistant Clinical Professor, MIND Institute, University of California, Davis Medical
+Center, 2825 50th Street, Sacramento, CA 95817, USA.
+E-mail:
+Premutation alleles (55–200 CGG repeats) of the fragile X mental retardation 1 (FMR1) gene are associated
+with autism spectrum disorder in childhood, premature ovarian failure, and the neurodegenerative disorder,
+fragile X-associated tremor/ataxia syndrome (FXTAS). FXTAS, and perhaps the other clinical presentations
+mong carriers, are thought to be due to toxic gain-of-function of elevated levels of the expanded-repeat
+FMR1 mRNA. Previous structural MRI studies have implicated the amygdala as a potential site of dysfunction
+underlying social deficits and/or risk for FXTAS. As a preliminary investigation of this possible association, adult
+males with the premutation, and male controls matched for IQ, age and education, completed three protocols"

+75859ac30f5444f0d9acfeff618444ae280d661d,Multibiometric Cryptosystems Based on Feature-Level Fusion,"Multibiometric Cryptosystems based on Feature
+Level Fusion
+Abhishek Nagar, Student Member, IEEE, Karthik Nandakumar, Member, IEEE, and Anil K. Jain, Fellow, IEEE"

+758d7e1be64cc668c59ef33ba8882c8597406e53,"AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild","IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
+AffectNet: A Database for Facial Expression,
+Valence, and Arousal Computing in the Wild
+Ali Mollahosseini, Student Member, IEEE, Behzad Hasani, Student Member, IEEE,
+nd Mohammad H. Mahoor, Senior Member, IEEE"

+75522dfc1610c8765185c4344d97db33e1af5047,"RASKIN, RUDZSKY, RIVLIN: BODY-PART TRACKING AND ACTION CLASSIFICATION 1 3D Human Body-Part Tracking and Action Classification Using a Hierarchical Body Model","RASKIN, RUDZSKY, RIVLIN: BODY-PART TRACKING AND ACTION CLASSIFICATION
+D Human Body-Part Tracking and Action
+Classification Using a Hierarchical Body
+Model
+Leonid Raskin
+Michael Rudzsky
+Ehud Rivlin
+Computer Science Department
+Technion -Israel Institute of Technology
+Haifa, Israel, 3200"

+7553fba5c7f73098524fbb58ca534a65f08e91e7,A Practical Approach for Determination of Human Gender & Age,"Harpreet Kaur Bhatia et al, International Journal of Computer Science and Mobile Computing, Vol.3 Issue.6, June- 2014, pg. 816-824
+Available Online at www.ijcsmc.com
+International Journal of Computer Science and Mobile Computing
+A Monthly Journal of Computer Science and Information Technology
+ISSN 2320–088X
+IJCSMC, Vol. 3, Issue. 6, June 2014, pg.816 – 824
+RESEARCH ARTICLE
+A Practical Approach for Determination
+of Human Gender & Age
+Harpreet Kaur Bhatia1, Ahsan Hussain2
+CSE Dept. & CSVTU University, India
+CSE Dept. & CSVTU University, India"

+75cf72819b8741777a961157f43d994238219f5e,Crowd Behavior Detection for Abnormal Conditions,"International Journal of Computer Systems (ISSN: 2394-1065), Volume 03– Issue 06, June, 2016
+Available at http://www.ijcsonline.com/
+Crowd Behavior Detection for Abnormal Conditions
+Aniket A. Patil, Prof. S. A. Shinde
+Department of Computer Engineering,
+Savitribai Phule Pune University, Pune, India"

+75b987f86af2bc7f68edc45be240dd30e1ef2699,Sampling Algorithms to Handle Nuisances in Large-Scale Recognition,"UNIVERSITY OF CALIFORNIA
+Los Angeles
+Sampling Algorithms to Handle Nuisances in Large-Scale Recognition
+A dissertation submitted in partial satisfaction
+of the requirements for the degree
+Doctor of Philosophy in Computer Science
+Nikolaos Karianakis"

+75073faadb967823db48794e9cd54b681bb0729b,Thermal-Aware Task Allocation and Scheduling for Heterogeneous Multi-core Cyber-Physical Systems,"Thermal-Aware Task Allocation and Scheduling for
+Heterogeneous Multi-core Cyber-Physical Systems
+Department of Electrical and Computer Engineering University of Massachusetts Amherst, Amherst, MA, 01003
+Shikang Xu, Israel Koren and C. M. Krishna"

+75c3ba0c7e5b0d4a11e9d2e073ccd02ee688c0c9,"A Multimodal LDA Model integrating Textual, Cognitive and Visual Modalities","Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pages 1146–1157,
+Seattle, Washington, USA, 18-21 October 2013. c(cid:13)2013 Association for Computational Linguistics"

+75650bfc20036d99314f7ddae8f2baecde3d57e2,Concave Losses for Robust Dictionary Learning,"CONCAVE LOSSES FOR ROBUST DICTIONARY LEARNING
+Rafael Will M. de Araujo, R. Hirata Jr ∗
+Alain Rakotomamonjy †
+University of S˜ao Paulo
+Institute of Mathematics and Statistics
+Rua do Mat˜ao, 1010 – 05508-090 – S˜ao Paulo-SP, Brazil
+Universit´e de Rouen Normandie
+LITIS EA 4108
+76800 Saint- ´Etienne-du-Rouvray, France"

+75249ebb85b74e8932496272f38af274fbcfd696,Face Identification in Large Galleries,"Face Identification in Large Galleries
+Rafael H. Vareto, Filipe Costa, William Robson Schwartz
+Smart Surveillance Interest Group, Department of Computer Science
+Universidade Federal de Minas Gerais, Belo Horizonte, Brazil"

+816c8c8d0f02200f988625d4989a1b4b34d779c6,An Efficient Hybrid Face Recognition Algorithm Using PCA and GABOR Wavelets,

+81eb804756f27d08f2d193d1074e58e1c5d263ca,Monocular 3D Human Pose Estimation Using Transfer Learning and Improved CNN Supervision,"Monocular 3D Human Pose Estimation Using Transfer Learning and Improved
+CNN Supervision
+Dushyant Mehta*, Helge Rhodin*, Dan Casass, Oleksandr Sotnychenko*, Weipeng Xu*, and Christian
+Theobalt*
+*Max Planck Institute For Informatics, Saarland Informatics Campus, Germany
+sUniversidad Rey Juan Carlos, Spain"

+81a142c751bf0b23315fb6717bc467aa4fdfbc92,Pairwise Trajectory Representation for Action Recognition,"978-1-5090-4117-6/17/$31.00 ©2017 IEEE
+ICASSP 2017"

+81bfe562e42f2eab3ae117c46c2e07b3d142dade,A Hajj And Umrah Location Classification System For Video Crowded Scenes,"A Hajj And Umrah Location Classification System For Video
+Crowded Scenes
+Hossam M. Zawbaa†
+Salah A. Aly†‡
+Adnan A. Gutub†
+Center of Research Excellence in Hajj and Umrah, Umm Al-Qura University, Makkah, KSA
+College of Computers and Information Systems, Umm Al-Qura University, Makkah, KSA"

+81695fbbbea2972d7ab1bfb1f3a6a0dbd3475c0f,Comparison of Face Recognition Neural Networks,"UNIVERSITY OF TARTU
+FACULTY OF SCIENCE AND TECHNOLOGY
+Institute of Computer Science
+Computer Science
+Zepp Uibo
+Comparison of Face Recognition
+Neural Networks
+Bachelor's thesis (6 ECST)
+Supervisor: Tambet Matiisen
+Tartu 2016"

+8147ee02ec5ff3a585dddcd000974896cb2edc53,Angular Embedding: A Robust Quadratic Criterion,"Angular Embedding:
+A Robust Quadratic Criterion
+Stella X. Yu, Member,"

+8199803f476c12c7f6c0124d55d156b5d91314b6,The iNaturalist Species Classification and Detection Dataset,"The iNaturalist Species Classification and Detection Dataset
+Grant Van Horn1 Oisin Mac Aodha1 Yang Song2 Yin Cui3 Chen Sun2
+Alex Shepard4 Hartwig Adam2
+Pietro Perona1
+Serge Belongie3
+Caltech
+Google
+Cornell Tech
+iNaturalist"

+816617fa6801fb2abd3d4475c459bf6e3221954d,3D human detection and tracking on a mobile platform for situation awareness,"D Human Detection and
+Tracking on a Mobile Platform
+for Situation Awareness
+Niklas Beuter"

+81e628a23e434762b1208045919af48dceb6c4d2,Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery,"Attend and Rectify: a Gated Attention
+Mechanism for Fine-Grained Recovery
+Pau Rodr´ıguez†, Josep M. Gonfaus‡, Guillem Cucurull†,
+F. Xavier Roca†, Jordi Gonz`alez†
+Computer Vision Center and Universitat Aut`onoma de Barcelona (UAB),
+Campus UAB, 08193 Bellaterra, Catalonia Spain
+Visual Tagging Services, Parc de Recerca, Campus UAB"

+811dff89b6d4657e5a0b8534e208baefd2204cee,Pseudo-Feature Generation for Imbalanced Data Analysis in Deep Learning,"Pseudo-Feature Generation for Imbalanced Data
+Analysis in Deep Learning
+Tomohiko Konno∗ and Michiaki Iwazume
+AI Science Research and Development Promotion Center
+National Institute of Information and Communications Technology, Tokyo Japan
+Figure 1: The sketch of proposed method. Left: train deep neural networks. Center: extract features
+from a layer, and then obtain multivariate probability distributions of the features, and then generate
+pseudo-features of minority classes from the probability distributions, and then re-train the layers
+elow the layer. Right: Put the retrained layers back to the original one. (It is the last classifier that is
+re-trained and put back in the experiment.)"

+812725dc3968aaff6429ec7c3f44ba1ca2116013,Acoplamiento de micro multitudes para el desarrollo de videojuegos controlados por movimiento,"Acoplamiento de micro multitudes
+para el desarrollo de videojuegos
+ontrolados por movimiento
+Iv´an Rivalcoba1, Krely Rodr´ıguez2, Oriam Degives1, Isaac Rudom´ın3
+Tecnol´ogico de Monterrey, Campus Estado de M´exico,
+M´exico
+Tecnol´ogico de Minatitl´an,
+Minatitl´an, Veracruz, M´exico
+Barcelona Supercomputing Center
+Barcelona, Espa˜na
+Resumen. La simulaci´on de multitudes en tiempo real y los juegos controlados
+por movimiento se han vuelto muy populares en los ´ultimos a˜nos. En conjunto
+estas dos tecnolog´ıas proporcionan una mejor experiencia de juego en entornos
+virtuales logrando escenas m´as realistas y vibrantes. Sin embargo, hasta ahora no
+se ha explotado la interacci´on de m´ultiples jugadores con una gran multitud bajo
+un entorno virtual. En este trabajo presentamos un sistema no intrusivo capaz
+de simular multitudes virtuales acopladas en tiempo real con varios usuarios,
+sentando con ello las bases para la creaci´on de juegos donde interact´uen muchos
+jugadores con muchas personajes, para ello se realiza una detecci´on de personas
+en una secuencia de v´ıdeo, nuestra contribuci´on consiste en utilizar patrones"

+812a6ced985317b3b9429ef0455645a9744af6d1,No need for a social cue! A masked magician can also trick the audience in the vanishing ball illusion.,"Atten Percept Psychophys
+DOI 10.3758/s13414-015-1036-9
+No need for a social cue! A masked magician can also trick
+the audience in the vanishing ball illusion
+Cyril Thomas 1 & André Didierjean 1
+# The Psychonomic Society, Inc. 2015"

+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"

+81c03eda1d175fbe351980ac4cffe42c5dec47b0,User observation & dataset collection for robot training,"User Observation & Dataset Collection for Robot Training
+Caroline Pantofaru
+Willow Garage, Inc.
+Menlo Park, CA 94025
+Categories and Subject Descriptors:
+I.5.2 [Comput-
+ing Methodologies]: Pattern Recognition - Design Method-
+ology, H.1.2 [Information Systems]: Models and Principles -
+User/Machine Systems
+General Terms: Measurement
+INTRODUCTION
+Personal robots operate in human environments such as
+homes and of‌f‌ices, co-habiting with people. To effectively
+train robot algorithms for such scenarios, a large amount of
+training data containing both people and the environment is
+required. Collecting such data involves taking a robot into
+new environments, observing and interacting with people.
+So far, best practices for robot data collection have been
+undefined. Fortunately, the human-robot interaction com-
+munity has conducted field studies whose methodology can"

+81a51cd6ecd467abb1ef38c8e35bdf1885f96fe3,Deep Spatio-Temporal Random Fields for Efficient Video Segmentation,"Deep Spatio-Temporal Random Fields for Efficient Video Segmentation
+Siddhartha Chandra1
+Camille Couprie2
+INRIA GALEN, Ecole CentraleSup´elec Paris
+Iasonas Kokkinos2
+Facebook AI Research, Paris"

+81f30bc57b84a6e5b71983b50bdea32f32bee285,"The more fine-grained, the better for transfer learning","The more fine-grained, the better for transfer learning
+Anonymous Author(s)
+Affiliation
+Address
+email"

+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
+Direktor: Prof. Dr. G¨unther Palm
+Semi-Supervised Learning with Committees:
+Exploiting Unlabeled Data Using Ensemble
+Learning Algorithms
+Dissertation zur Erlangung des Doktorgrades
+Doktor der Naturwissenschaften (Dr. rer. nat.)
+der Fakult¨at f¨ur Ingenieurwissenschaften und Informatik
+der Universit¨at Ulm
+vorgelegt von
+Mohamed Farouk Abdel Hady
+us Kairo, ¨Agypten
+Ulm, Deutschland"

+81ff6d7f934f7134d93b2039d788b72f8593693c,Accelerating Convolutional Neural Network Systems,"Accelerating Convolutional
+Neural Network Systems
+Henry G.R. Gouk
+This report is submitted in partial fulfillment of the requirements for the degree of
+Bachelor of Computing and Mathematical Sciences with Honours (BCMS(Hons))
+t The University of Waikato.
+COMP520-14C (HAM)
+© 2014 Henry G.R. Gouk"

+813e9f76fb9e3f007f0bc819eab66b0b5fbd8204,Towards Building Large Scale Multimodal Domain-Aware Conversation Systems,"Towards Building Large Scale Multimodal Domain-Aware Conversation Systems
+Amrita Saha1,2
+Mitesh M. Khapra2
+Karthik Sankaranarayanan1
+IBM Research AI
+I.I.T. Madras, India"

+81eecb00eeadb5fe36cd840b687439bfdca7ff30,Kernelized Saliency-Based Person Re-Identification Through Multiple Metric Learning,"JOURNAL OF LATEX CLASS FILES, VOL. 11, NO. 4, DECEMBER 2012
+Kernelized Saliency-based Person Re-Identification
+through Multiple Metric Learning
+Niki Martinel* Student Member, IEEE, Christian Micheloni, Member, IEEE, and Gian Luca Foresti, Senior
+Member, IEEE"

+81d327ec41c67728b15438bca86d10b72de1d88f,Visual Affordance and Function Understanding: A Survey,"JOURNAL OF LATEX CLASS FILES, VOL. 6, NO. 1, JULY 2018
+Visual Affordance and Function Understanding:
+A Survey
+Mohammed Hassanin, Salman Khan, Murat Tahtali"

+81d5c4b49fe17aaa3af837745cafdedb066a067d,Automatic Adaptive Center of Pupil Detection Using Face Detection and CDF Analysis,"Automatic Adaptive Center of Pupil Detection
+Using Face Detection and CDF Analysis
+Mansour Asadifard, Jamshid Shanbezadeh"

+819a321975c736e006870e76446d581e195cad2e,Deep Canonical Time Warping for Simultaneous Alignment and Representation Learning of Sequences,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Deep Canonical Time Warping
+for simultaneous alignment and representation
+learning of sequences
+George Trigeorgis, Mihalis A. Nicolaou, Member, IEEE, Bj¨orn W. Schuller, Senior member, IEEE
+Stefanos Zafeiriou, Member, IEEE"

+81006fe4c4947d225b9fa17e6b98b8acb36a7692,A Dataset for Grasping and Manipulation using ROS,"A Dataset for Grasping and Manipulation using ROS
+Matei Ciocarlie†, Gary Bradski†, Kaijen Hsiao† and Peter Brook†∗"

+810eafc9e854ea9b1d7a9e9f755f8102310d5db6,Dynamic Multimodal Instance Segmentation Guided by Natural Language Queries,"Dynamic Multimodal Instance Segmentation
+Guided by Natural Language Queries
+Edgar Margffoy-Tuay, Juan C. P´erez, Emilio Botero, and Pablo Arbel´aez
+{ea.margffoy10, jc.perez13, e.botero10,
+Universidad de los Andes, Colombia"

+816c1925de9e8557fa70ec67d0ff71a5059eb931,Person Re-identification by Articulated Appearance Matching,"Person Re-identification by Articulated
+Appearance Matching
+Dong Seon Cheng and Marco Cristani"

+8160b3b5f07deaa104769a2abb7017e9c031f1c1,Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification,"Exploiting Discriminant Information in Nonnegative
+Matrix Factorization With Application
+to Frontal Face Verification
+Stefanos Zafeiriou, Anastasios Tefas, Member, IEEE, Ioan Buciu, and Ioannis Pitas, Senior Member, IEEE"

+81fc46dd71121cfafbb11455745ae62f6eca0b25,Joint Camera Pose Estimation and 3D Human Pose Estimation in a Multi-camera Setup,"Joint Camera Pose Estimation and 3D Human
+Pose Estimation in a Multi-Camera Setup
+Jens Puwein1, Luca Ballan1, Remo Ziegler2 and Marc Pollefeys1
+Department of Computer Science, ETH Zurich, Switzerland
+Vizrt"

+814d091c973ff6033a83d4e44ab3b6a88cc1cb66,The EU-Emotion Stimulus Set: A validation study.,"Behav Res (2016) 48:567–576
+DOI 10.3758/s13428-015-0601-4
+The EU-Emotion Stimulus Set: A validation study
+Helen O’Reilly 1,2 & Delia Pigat 1 & Shimrit Fridenson 5 & Steve Berggren 3,4 & Shahar Tal 5 &
+Ofer Golan 5 & Sven Bölte 3,4 & Simon Baron-Cohen 1,6 & Daniel Lundqvist 3
+Published online: 30 September 2015
+# Psychonomic Society, Inc. 2015"

+816eff5e92a6326a8ab50c4c50450a6d02047b5e,fLRR: Fast Low-Rank Representation Using Frobenius Norm,"fLRR: Fast Low-Rank Representation Using
+Frobenius Norm
+Haixian Zhang, Zhang Yi, and Xi Peng
+Low Rank Representation (LRR) intends to find the representation
+with lowest-rank of a given data set, which can be formulated as a
+rank minimization problem. Since the rank operator is non-convex and
+discontinuous, most of the recent works use the nuclear norm as a convex
+relaxation. This letter theoretically shows that under some conditions,
+Frobenius-norm-based optimization problem has an unique solution that
+is also a solution of the original LRR optimization problem. In other
+words, it is feasible to apply Frobenius-norm as a surrogate of the
+nonconvex matrix rank function. This replacement will largely reduce the
+time-costs for obtaining the lowest-rank solution. Experimental results
+show that our method (i.e., fast Low Rank Representation, fLRR),
+performs well in terms of accuracy and computation speed in image
+lustering and motion segmentation compared with nuclear-norm-based
+LRR algorithm.
+Introduction: Given a data set X ∈ Rm×n(m < n) composed of column
+vectors, let A be a data set composed of vectors with the same dimension
+s those in X. Both X and A can be considered as matrices. A linear"

+81ed28ea6cfe71bfc4cfc35c6695fa07dd7cc42e,"Deep Episodic Memory: Encoding, Recalling, and Predicting Episodic Experiences for Robot Action Execution","Deep Episodic Memory: Encoding, Recalling, and Predicting
+Episodic Experiences for Robot Action Execution
+Jonas Rothfuss∗†, Fabio Ferreira∗†, Eren Erdal Aksoy ‡, You Zhou† and Tamim Asfour†"

+81ede08b36f3abd423424804da8ff240606b3a5d,Top-Down Deep Appearance Attention for Action Recognition,"Top-Down Deep Appearance Attention for
+Action Recognition
+Rao Muhammad Anwer1, Fahad Shahbaz Khan2, Joost van de Weijer3, Jorma
+Laaksonen1
+Department of Computer Science, Aalto University School of Science, Finland
+Computer Vision Laboratory, Link¨oping University, Sweden
+Computer Vision Center, CS Dept. Universitat Autonoma de Barcelona, Spain"

+810d60ff5c0106de53a48fa2731eacf5ca2377b6,MultiQ: single sensor-based multi-quality multi-modal large-scale biometric score database and its performance evaluation,"Uddin et al. IPSJ Transactions on Computer Vision and
+Applications  (2017) 9:18
+DOI 10.1186/s41074-017-0029-0
+IPSJ Transactions on Computer
+Vision and Applications
+TECHNICAL NOTE
+Open Access
+MultiQ: single sensor-based multi-quality
+multi-modal large-scale biometric score
+database and its performance evaluation
+Md. Zasim Uddin*, Daigo Muramatsu, Takuhiro Kimura, Yasushi Makihara and Yasushi Yagi"

+8149c30a86e1a7db4b11965fe209fe0b75446a8c,Semi-supervised multiple instance learning based domain adaptation for object detection,"Semi-Supervised Multiple Instance Learning based
+Domain Adaptation for Object Detection
+Siemens Corporate Research
+Siemens Corporate Research
+Siemens Corporate Research
+Amit Kale
+Bangalore
+Chhaya Methani
+Bangalore
+{chhaya.methani,
+Rahul Thota
+Bangalore
+rahul.thota,"

+815069f591122aa7b388615f944c17c7fa1eff14,Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling,"Constrained Overcomplete Analysis Operator
+Learning for Cosparse Signal Modelling
+Mehrdad Yaghoobi, Sangnam Nam, R´emi Gribonval and Mike E. Davies"

+81b6de17391f44c07b2efe75a529aa200604ee48,Machine à Vecteurs Supports Multi-Noyau pour la détection de points caractéristiques du visage,"Machine à Vecteurs Supports Multi-Noyau pour la détection de points
+aractéristiques du visage
+Vincent Rapp1, Thibaud Senechal1, Kevin Bailly1, Lionel Prevost2
+ISIR - CNRS UMR 7222
+Université Pierre et Marie Curie, Paris
+LAMIA - EA 4540
+Université des Antilles et de la Guyanne
+{rapp, senechal,
+Résumé
+Dans cet article, nous présentons une méthode robuste
+et précise pour détecter 17 points caractéristiques du vi-
+sage sur des images expressives. Une nouvelle architecture
+multi-résolution basée sur les récents algorithmes multi-
+noyau est introduite. Les patches de faibles résolutions
+odent les informations globales du visage donnant lieu à
+une détection grossière mais robuste du point désiré. Les
+patches de grandes résolutions quant à eux utilisent les dé-
+tails locaux afin d’affiner cette localisation. En combinant
+une détection indépendante de points et des informations
+priori sur les distributions de points, nous proposons"

+819d1dcea397e6e671acf74adccdef5750550873,Representations for Visually Guided Actions,"Representations for Visually Guided Actions
+Saurabh Gupta
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2018-104
+http://www2.eecs.berkeley.edu/Pubs/TechRpts/2018/EECS-2018-104.html
+August 8, 2018"

+8121824f4598d600e4cdb745cd2715e4655c9e88,A Taxonomy of Emerging Multilinear Discriminant Analysis Solutions for Biometric Signal Recognition,"Contents
+A Taxonomy of Emerging Multilinear Discriminant Analysis Solutions
+for Biometric Signal Recognition
+Haiping Lu, K. N. Plataniotis and A. N. Venetsanopoulos
+Introduction
+.2 Multilinear basics
+.3 Multilinear discriminant analysis
+.5 Conclusions
+Empirical Comparison of MLDA variants on Face Recognition
+Appendix: Multilinear decompositions
+References"

+81c3d1be0c69e9d3e13054969e4b67ee69a4e6f0,Dynamical Models for Neonatal Intensive Care Monitoring,"This thesis has been submitted in fulfilment of the requirements for a postgraduate degree
+(e.g. PhD, MPhil, DClinPsychol) at the University of Edinburgh. Please note the following
+terms and conditions of use:
+This work is protected by copyright and other intellectual property rights, which are
+retained by the thesis author, unless otherwise stated.
+A copy can be downloaded for personal non-commercial research or study, without
+prior permission or charge.
+This thesis cannot be reproduced or quoted extensively from without first obtaining
+permission in writing from the author.
+The content must not be changed in any way or sold commercially in any format or
+medium without the formal permission of the author.
+When referring to this work, full bibliographic details including the author, title,
+warding institution and date of the thesis must be given."

+81eb9fca9093f58eabb8850512f8f46fe2bb07a2,Sem-GAN: Semantically-Consistent Image-to-Image Translation,"Sem-GAN: Semantically-Consistent Image-to-Image Translation
+Anoop Cherian
+Alan Sullivan
+Mitsubishi Electric Research Labs (MERL), Cambridge, MA
+{cherian,"

+818dcb3bac6342c02eebd896cd0a46bcf2192b64,Unified Structured Learning for Simultaneous Human Pose Estimation and Garment Attribute Classification,"Unified Structured Learning for Simultaneous
+Human Pose Estimation and Garment Attribute
+Classification
+Jie Shen, Guangcan Liu, Member, IEEE, Jia Chen, Yuqiang Fang, Jianbin Xie, Member, IEEE, Yong Yu,
+nd Shuicheng Yan, Senior Member, IEEE"

+8134b052a9aedd573dd16649a611f68b48e30cb2,InverseFaceNet: Deep Single-Shot Inverse Face Rendering From A Single Image,"InverseFaceNet: Deep Single-Shot Inverse Face Rendering From A Single Image
+Hyeongwoo Kim1
+Justus Thies2
+Max-Planck-Institute for Informatics
+Michael Zollhöfer1
+Christian Richardt3
+University of Erlangen-Nuremberg 3 University of Bath
+Christian Theobalt1
+Ayush Tewari1
+Figure 1. Our single-shot deep inverse face renderer InverseFaceNet obtains a high-quality geometry, reflectance and illumination estimate
+from just a single input image. We jointly recover the face pose, shape, expression, reflectance and incident scene illumination. From left to
+right: input photo, our estimated face model, its geometry, and the pointwise Euclidean error compared to Garrido et al. [14]."

+862f19f8317971fabc46cf0f994f4a8616f17b78,Human Re-identification through Distance Metric Learning based on Jensen-Shannon Kernel,"HUMAN RE-IDENTIFICATION THROUGH DISTANCE METRIC
+LEARNING BASED ON JENSEN-SHANNON KERNEL
+Yoshihisa Ijiri1, Shihong Lao2, Tony X. Han3 and Hiroshi Murase4
+Corporate R&D, OMRON Corp., Kizugawa, Kyoto, Japan
+OMRON Social Solutions Co. Ltd., Kizugawa, Kyoto, Japan
+Electrical & Computer Engineering Dept., Univ. of Missouri, Columbia, MO, U.S.A.
+Graduate School of Information Science, Nagoya Univ., Chigusaku, Nagoya, Japan
+Keywords:
+Human Re-identification, Distance Metric Learning, Jensen-Shannon Kernel."

+86614c2d2f6ebcb9c600d4aef85fd6bf6eab6663,Benchmarks for Cloud Robotics,"Benchmarks for Cloud Robotics
+Arjun Singh
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2016-142
+http://www.eecs.berkeley.edu/Pubs/TechRpts/2016/EECS-2016-142.html
+August 12, 2016"

+86b69b3718b9350c9d2008880ce88cd035828432,Improving Face Image Extraction by Using Deep Learning Technique,"Improving Face Image Extraction by Using Deep Learning Technique
+Zhiyun Xue, Sameer Antani, L. Rodney Long, Dina Demner-Fushman, George R. Thoma
+National Library of Medicine, NIH, Bethesda, MD"

+86904aee566716d9bef508aa9f0255dc18be3960,Learning Anonymized Representations with Adversarial Neural Networks,"Learning Anonymized Representations with
+Adversarial Neural Networks
+Cl´ement Feutry, Pablo Piantanida, Yoshua Bengio, and Pierre Duhamel"

+8602b2ef26a0f851f1f6f2f2ae0ce142eb64300a,Is it a face ? How to find and validate a face on 3D scans,"Is it a face ? How to find and validate a face on 3D scans
+Przemyslaw Szeptycki,
+Mohsen Ardabilian,
+Liming Chen
+Ecole Centrale de Lyon, 36 av. Guy de Collongue, 69134 Lyon, France
+{przemyslaw.szeptycki, mohsen.ardabilian,
+Introduction"

+867e709a298024a3c9777145e037e239385c0129,Analytical Representation of Undersampled Face Recognition Approach Based on Dictionary Learning and Sparse Representation,"INTERNATIONAL JOURNAL
+OF PROFESSIONAL ENGINEERING STUDIES                                                                                                            Volume VIII /Issue 2 / FEB 2017
+ANALYTICAL REPRESENTATION OF UNDERSAMPLED FACE
+RECOGNITION APPROACH BASED ON DICTIONARY LEARNING
+AND  SPARSE REPRESENTATION
+Murala Sandeep1 A.Mallikarjuna Reddy2 P.Rajashaker Reddy3 Dr. G. Vishnu murthy4
+(M.Tech)1, Assistant Professor2, Assistant Professor3, HOD of CSE Department4
+Anurag group of institutions Ghatkesar, Ranga Reddy, Hyderabad, India"

+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"

+86b1751b265b289b09de79956e77a01d82e12086,Face recognition in multi-camera surveillance videos,"1st International Conference on Pattern Recognition (ICPR 2012)
+November 11-15, 2012. Tsukuba, Japan
+978-4-9906441-1-6 ©2012 IAPR"

+8645fe95f3f503f854b08096c2874a3f7ea6b79b,BoxCars: 3D Boxes as CNN Input for Improved Fine-Grained Vehicle Recognition,"BoxCars: 3D Boxes as CNN Input
+for Improved Fine-Grained Vehicle Recognition
+Jakub Sochor∗, Adam Herout, Jiˇr´ı Havel
+Brno University of Technology
+Brno, Czech Republic"

+86e5f81bde496549e9df2b1abdef0879a3135adb,The Visual QA Devil in the Details: The Impact of Early Fusion and Batch Norm on CLEVR,"The Visual QA Devil in the Details: The Impact
+of Early Fusion and Batch Norm on CLEVR
+Mateusz Malinowski and Carl Doersch
+DeepMind, London, United Kingdom
+Introduction
+Visual QA is a pivotal challenge for higher-level reasoning [1,2,3,4], requiring
+understanding language, vision, and relationships between many objects in a
+scene. Although datasets like CLEVR [5] are designed to be unsolvable with-
+out such complex relational reasoning, some surprisingly simple feed-forward,
+“holistic” models have recently shown strong performance on this dataset [6,7].
+These models lack any kind of explicit iterative, symbolic reasoning procedure,
+which are hypothesized to be necessary for counting objects, narrowing down
+the set of relevant objects based on several attributes, etc. The reason for this
+strong performance is poorly understood. Hence, our work analyzes such mod-
+els, and finds that minor architectural elements are crucial to performance. In
+particular, we find that early fusion of language and vision provides large per-
+formance improvements. This contrasts with the late fusion approaches popular
+t the dawn of Visual QA [5,8,9,10]. We propose a simple module we call Mul-
+timodal Core (MC), which we hypothesize performs the fundamental operations
+for multimodal tasks. We believe that understanding why these elements are so"

+86cdc6ae46f53ac86b9e0ace2763c5fe15633055,Experimental Force-Torque Dataset for Robot Learning of Multi-Shape Insertion,"Experimental Force-Torque Dataset for Robot Learning of Multi-Shape Insertion
+Giovanni De Magistris1, Asim Munawar1, Tu-Hoa Pham1, Tadanobu Inoue1,
+Phongtharin Vinayavekhin1, Ryuki Tachibana1
+IBM Research - Tokyo, Japan
+The accurate modeling of real-world systems and
+physical interactions is a common challenge towards the
+resolution of robotics tasks. Machine learning approaches
+have demonstrated significant results in the modeling of
+omplex systems (e.g., articulated robot structures, ca-
+le stretch, fluid dynamics), or to learn robotics tasks
+(e.g., grasping, reaching) from raw sensor measurements
+without explicit programming, using reinforcement learn-
+ing. However, a common bottleneck in machine learn-
+ing techniques resides in the availability of suitable data.
+While many vision-based datasets have been released in
+the recent years, ones involving physical interactions, of
+particular interest for the robotic community, have been
+scarcer. In this paper, we present a public dataset on peg-
+in-hole insertion tasks containing force-torque and pose
+information for multiple variations of convex-shaped pegs."

+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,
+Andreas Kolb
+Time-of-Flight and Depth Imaging. Sensors, Algorithms
+nd Applications: Dagstuhl Seminar 2012 and GCPR
+Workshop on Imaging New Modalities (Lecture ... Vision,
+Pattern Recognition, and Graphics)
+Publisher: Springer; 2013 edition
+(November 8, 2013)
+Language: English
+Pages: 320
+ISBN: 978-3642449635
+Size: 20.46 MB
+Format: PDF / ePub / Kindle
+Cameras for 3D depth imaging, using
+either time-of-flight (ToF) or
+structured light sensors, have received
+lot of attention recently and have
+een improved considerably over the
+last few years. The present
+techniques..."

+8646f22a46b65c2018bc39ad3cbdb939e788a1fc,Learning a Confidence Measure for Optical Flow,"Learning a Confidence Measure
+for Optical Flow
+Oisin Mac Aodha, Ahmad Humayun, Marc Pollefeys and Gabriel J. Brostow"

+8641593c67d87d81e528448a527e45fc9a5aa145,Complex Urban LiDAR Data Set,"Complex Urban LiDAR Data Set
+Jinyong Jeong1, Younggun Cho1, Young-Sik Shin1, Hyunchul Roh1 and Ayoung Kim1
+Fig. 1: This paper provides the complex urban data set including metropolitan area, apartment building complex and
+underground parking lot. Sample scenes from the data set can be found in https://youtu.be/IguZjmLf5V0."

+861b12f405c464b3ffa2af7408bff0698c6c9bf0,An Effective Technique for Removal of Facial Dupilcation by SBFA,"International Journal on Recent and Innovation Trends in Computing and Communication                                                     ISSN: 2321-8169
+Volume: 3 Issue: 5
+3337 - 3342
+_______________________________________________________________________________________________
+An Effective Technique for Removal of Facial Dupilcation by SBFA
+Miss. Deepika B. Patil
+Computer Department,
+GHRCEM,
+Pune, India
+Dr. Ayesha Butalia
+Computer Department,
+GHRCEM,
+Pune, India"

+869df5e8221129850e81e77d4dc36e6c0f854fe6,A metric for sets of trajectories that is practical and mathematically consistent,"A metric for sets of trajectories that is
+practical and mathematically consistent
+Jos´e Bento
+Jia Jie Zhu"

+86c1bf121851aa901e3e7eb11a3b8cc5a08a921b,"Motion, Blur, Illumination based Face Recognition","ISSN: 2455-5797                International Journal of Innovative Works in Engineering and Technology (IJIWET)
+Motion, Blur, Illumination based Face Recognition
+Anand M.S
+PG Student
+Department of ECE
+Satyam College of Engineering
+E-mail :"

+86e1bdbfd13b9ed137e4c4b8b459a3980eb257f6,The Kinetics Human Action Video Dataset,"The Kinetics Human Action Video Dataset
+Will Kay
+Jo˜ao Carreira
+Karen Simonyan
+Brian Zhang
+Chloe Hillier
+Sudheendra Vijayanarasimhan
+Fabio Viola
+Tim Green
+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"

+86e87d276b5b01a6b4b09b5487781fab740aca2e,Deep Ranking Model by Large Adaptive Margin Learning for Person Re-identification,"Deep Ranking Model by Large Adaptive Margin Learning for
+Person Re-identification
+Jiayun Wanga, Sanping Zhoua, Jinjun Wanga,∗, Qiqi Houa
+The institute of artificial intelligence and robotic, Xi’an Jiaotong University, Xianning West Road
+No.28, Shaanxi, 710049, P.R. China"

+860196a306c9303ddaf323d702dacba68db658d2,Open-Ended Content-Style Recombination Via Leakage Filtering,"OPEN-ENDED CONTENT-STYLE RECOMBINATION
+VIA LEAKAGE FILTERING
+Karl Ridgeway+∗ & Michael C. Mozer+†
++ Department of Computer Science, University of Colorado, Boulder
+Sensory, Inc.
+presently at Google Brain, Mountain View"

+86b105c3619a433b6f9632adcf9b253ff98aee87,A Mutual Information based Face Clustering Algorithm for Movies,"­4244­0367­7/06/$20.00 ©2006 IEEE
+ICME 2006"

+8616ff1d0fd7bcfc5fd81d1e8a9b189c21f3b93d,Visual Reference Resolution using Attention Memory for Visual Dialog,"Visual Reference Resolution using Attention Memory
+for Visual Dialog
+Paul Hongsuck Seo†
+POSTECH
+Andreas Lehrmann§
+{hsseo, {andreas.lehrmann,
+Bohyung Han†
+§Disney Research
+Leonid Sigal§"

+8609035f1b9fa5bddfbbffd287a98ba47a1ecba0,Making Bertha See,"Making Bertha See
+Uwe Franke, David Pfeiffer, Clemens Rabe, Carsten Knoeppel,
+Markus Enzweiler, Fridtjof Stein, and Ralf G. Herrtwich
+Daimler AG - Research & Development, 71059 Sindelfingen, Germany"

+86be567bab1293ed847979d2c56a662fcbcbc1d5,Exploiting View-Specific Appearance Similarities Across Classes for Zero-Shot Pose Prediction: A Metric Learning Approach,"Exploiting View-Specific Appearance Similarities Across Classes for
+Zero-shot Pose Prediction: A Metric Learning Approach
+Alina Kuznetsova
+Leibniz University Hannover
+Appelstr 9A, 30169
+Hannover, Germany
+Sung Ju Hwang
+UNIST
+50 UNIST-gil, 689798
+Ulsan, Korea
+Bodo Rosenhahn
+Leibniz University Hannover
+Appelstr 9A, 30169
+Hannover, Germany
+Leonid Sigal
+Disney Research
+720 Forbes Avenue, 15213
+Pittsburgh, PA, US"

+8627248c6e3c3e316e3964d12e0a44e23aa969f3,Automated Annotations,"Automated Annotations
+Richard Brath and Martin Matusiak*
+Uncharted Software Inc."

+72ef0ac03d3043bf664ca7c21abafc4191b24557,Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection,"Towards Safe Autonomous Driving: Capture Uncertainty in the Deep
+Neural Network For Lidar 3D Vehicle Detection
+Di Feng1, Lars Rosenbaum1, Klaus Dietmayer2"

+7214d9356398aa39923c69650bcf761d4ab6307f,Improving Spatial Saliency Using Affinity Model and Temporal Motion,"Int'l Conf. IP, Comp. Vision, and Pattern Recognition |  IPCV'15  |
+Improving Spatial Saliency Using
+Affinity Model and Temporal Motion
+Dept. of Computer and Communications Engineering, Kangwon National University
+Manbae Kim
+Chunchon, Gangwondo, Republic of Korea
+E-mail:"

+721fbc63a647239158bf817311d1c084455398e9,Shape-based automatic detection of a large number of 3D facial landmarks,"Shape-based Automatic Detection of a Large Number of 3D Facial Landmarks
+Syed Zulqarnain Gilani, Faisal Shafait, Ajmal Mian
+School of Computer Science and Software Engineering,The University of Western Australia.
+Figure 3: Histogram of mean localization error for 18 landmarks on 4,007
+scans of FRGCv2 dataset (18× 4007 Landmarks).
+Mean Localization Error(mm)
+Neutral
+Non−Neutral
+Neutral
+Level−1
+Level−2
+Level−3
+Level−4
+Figure 1: Our algorithm automatically detects an arbitrarily large number of
+facial landmarks by establishing dense correspondences between 3D faces.
+The figure shows 85 landmarks detected (red) on neutral and extreme anger
+expression of a subject from BU3DFE database [3]. The ground truth is
+represented by blue dots.
+2202
+Mean Localization Error(mm)"

+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
+independent factor analysis with mixing constraints
+Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin
+To cite this version:
+Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin. Fault diagnosis of a railway device
+using semi-supervised independent factor analysis with mixing constraints. Pattern Analysis and
+Applications, Springer Verlag, 2012, 15 (3), pp.313-326. <hal-00750589>
+HAL Id: hal-00750589
+https://hal.archives-ouvertes.fr/hal-00750589
+Submitted on 11 Nov 2012
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+72a00953f3f60a792de019a948174bf680cd6c9f,Understanding the role of facial asymmetry in human face identification,"Stat Comput (2007) 17:57–70
+DOI 10.1007/s11222-006-9004-9
+Understanding the role of facial asymmetry in human face
+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"

+725597072c76dad5caa92b7baa6e1c761addc300,Deep adversarial neural decoding,"Deep adversarial neural decoding
+Ya˘gmur Güçlütürk*, Umut Güçlü*,
+Katja Seeliger, Sander Bosch,
+Rob van Lier, Marcel van Gerven,
+Radboud University, Donders Institute for Brain, Cognition and Behaviour
+Nijmegen, the Netherlands
+*Equal contribution"

+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"

+7278f4c361f960b2e54275c5efd98535f9ccaded,Image Based Recognition of Dynamic Traffic Situations by Evaluating the Exterior Surrounding and Interior Space of Vehicles,"IMAGE BASED RECOGNITION OF DYNAMIC TRAFFIC SITUATIONS BY
+EVALUATING THE EXTERIOR SURROUNDING AND INTERIOR SPACE OF VEHICLES
+Photogrammetry & Remote Sensing, Technische Universitaet Muenchen, Germany - (alexander.hanel, ludwig.hoegner,
+BMW Research & Technology, Muenchen, Germany -
+A. Hanela, H. Klödenb, L. Hoegnera, U. Stillaa
+KEY WORDS: vehicle camera system, crowd sourced data, image analysis, machine learning, object detection, illumination recogni-
+tion, traffic situation recognition"

+722221f6c696b4a7cc094748aaad8158990ec41e,3D facial expression recognition: A perspective on promises and challenges,"D Facial Expression Recognition:
+A Perspective on Promises and Challenges
+T. Fang, X. Zhao, O. Ocegueda, S.K. Shah and I.A. Kakadiaris*"

+72ecaff8b57023f9fbf8b5b2588f3c7019010ca7,Facial Keypoints Detection,"Facial Keypoints Detection
+Shenghao Shi"

+72edc24c67c34b5f2c98086a689bf0f3591e393d,An Introduction to Image Synthesis with Generative Adversarial Nets,"An Introduction to Image Synthesis with
+Generative Adversarial Nets
+He Huang, Phillip S. Yu and Changhu Wang"

+72591a75469321074b072daff80477d8911c3af3,Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction,"Group Component Analysis for Multi-block Data:
+Common and Individual Feature Extraction
+Guoxu Zhou, Andrzej Cichocki Fellow, IEEE, Yu Zhang, and Danilo Mandic Fellow, IEEE"

+72a1ecfcd5f0b022fef49cab72bb476e41dea40e,Bag-of-features representations using spatial visual vocabularies for object classification,"BAG-OF-FEATURES REPRESENTATIONS USING SPATIAL VISUAL VOCABULARIES FOR
+OBJECT CLASSIFICATION
+Rene Grzeszick, Leonard Rothacker, Gernot A. Fink
+TU Dortmund
+Email: {rene.grzeszick, leonard.rothacker,
+Department of Computer Science"

+729a9d35bc291cc7117b924219bef89a864ce62c,Recognizing Material Properties from Images,"Recognizing Material Properties from Images
+Gabriel Schwartz and Ko Nishino, Senior Member, IEEE"

+7249b263d0a84d2d9d03f2f7b378778d129f9af9,Research Statement Research Focus,"RESEARCH STATEMENT
+Ryan Farrell
+In recent years, the topic of object detection/recognition has rapidly gained in popularity and is now
+perhaps the most actively researched topic in computer vision. Object detection algorithms are becoming
+prevalent in consumer devices such as digital cameras (real-time face detection) and automobiles (pedestrian
+detection systems for collision avoidance are already available and will be a standard feature on new cars
+within a few years). Object recognition technology is quickly becoming widespread in smartphone apps;
+examples include Google Goggles, Amazon Flow and Leafsnap. I believe we are at a ‘tipping point’ towards
+the impending ubiquity of computer vision, specifically object recognition, in our everyday lives.
+RESEARCH FOCUS
+My research in object recognition focuses specifically on Fine-grained Visual Categorization (sometimes
+bbreviated FGVC). For many years, computer vision has focused on classifying an object in several basic-
+level categories such as person, car, frog, or piano. At the opposing end of the categorization spectrum
+(see Figure ) is biometric identification - recognizing individuals within a population (e.g. face recognition or
+recognizing individual whales by unique fluke patterns). Between these two extremes lie what are called entry-
+nd subordinate-level categories. Entry-level categories include penguin, owl, etc.; people generally use these
+more specific labels instead of simply saying “bird” (the basic-level category). Subordinate-level categories
+re highly specific. Continuing with the example of birds, categorizing at the subordinate-level would require
+differentiating two quite similar species (such as the Red-breasted and White-breasted Nuthatches). Fine-
+grained recognition addresses this situation where categories are distinguised by very subtle differences."

+721d9c387ed382988fce6fa864446fed5fb23173,Assessing Facial Expressions in Virtual Reality Environments,

+72c0c8deb9ea6f59fde4f5043bff67366b86bd66,Age progression in Human Faces : A Survey,"Age progression in Human Faces : A Survey
+Narayanan Ramanathan, Rama Chellappa and Soma Biswas"

+727d03100d4a8e12620acd7b1d1972bbee54f0e6,von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification,"von Mises-Fisher Mixture Model-based Deep
+learning: Application to Face Verification
+Md. Abul Hasnat, Julien Bohn´e, Jonathan Milgram, St´ephane Gentric and Liming Chen"

+728a8c4ed6b5565a250bd1e0587293a6a97f515b,Arguing Machines: Human Supervision of Black Box AI Systems That Make Life-Critical Decisions,"Arguing Machines: Human Supervision of Black Box
+AI Systems That Make Life-Critical Decisions
+Lex Fridman*
+Li Ding
+Massachusetts Institute of Technology (MIT)
+Benedikt Jenik
+Bryan Reimer
+Figure 1: “Arguing machines” framework that adds a secondary system to a primary “black box” AI system that makes life-
+ritical decisions and uses disagreement between the two as a signal to seek human supervision. We demonstrate that this can
+e a powerful way to reduce overall system error."

+72a6044a0108e0f8f1e68cd70ada46c81a416324,Improved Training of Generative Adversarial Networks Using Representative Features,"Improved Training of Generative Adversarial Networks
+using Representative Features
+Duhyeon Bang 1 Hyunjung Shim 1"

+72ef87fb1a49f0e386f123a6b4f5566f51a3a47d,Minimizing Latency for Secure Coded Computing Using Secret Sharing via Staircase Codes,"Minimizing Latency for Secure Coded Computing
+Using Secret Sharing via Staircase Codes
+Rawad Bitar, Parimal Parag, and Salim El Rouayheb"

+7276a3ffa0941524083ac0fa9f0129746bca65d7,Multi-scale Deep Learning Architectures for Person Re-identification,"Multi-scale Deep Learning Architectures for Person Re-identification
+Xuelin Qian1 Yanwei Fu2,5,* Yu-Gang Jiang1,3 Tao Xiang4 Xiangyang Xue1,2
+Shanghai Key Lab of Intelligent Info. Processing, School of Computer Science, Fudan University;
+School of Data Science, Fudan University; 3Tencent AI Lab;
+Queen Mary University of London; 5University of Technology Sydney;"

+72f4aaf7e2e3f215cd8762ce283988220f182a5b,Active illumination and appearance model for face alignment,"Turk J Elec Eng & Comp Sci, Vol.18, No.4, 2010, c(cid:2) T ¨UB˙ITAK
+doi:10.3906/elk-0906-48
+Active illumination and appearance model for face
+lignment
+Fatih KAHRAMAN1, Muhittin G ¨OKMEN 2, Sune DARKNER3, Rasmus LARSEN3
+Institute of Informatics, ˙Istanbul Technical University, ˙Istanbul, 34469, TURKEY
+Department of Computer Engineering, ˙Istanbul Technical University, ˙Istanbul, 34469, TURKEY
+DTU Informatics, Technical University of Denmark, DK-2800 Kgs. Lyngby, DENMARK
+e-mail:
+e-mail:
+e-mail: {sda,"

+72944b4266523effe97708bff89e1d57d6aebf50,"A Multi-Sensory, Automated and Accelerated Sensory Integration Program","A Multi-Sensory, Automated and Accelerated
+Sensory Integration Program
+The Research
+Below are several published research reports that document the efficacy of  a
+singular program such as auditory therapy or visual therapy alone as well as the
+use of multi-sensory programs using one or more sensory programs together.
+This is only a sample of the volumes of research that has been done.
+Multisensory integration of cross-modal stimulus combinations yielded responses
+that  were  significantly  greater  than  those  evoked  by  the  best  component
+stimulus.  J  Neurophysiol  97:  3193–3205,  2007.  doi:10.1152/jn.00018.2007.
+Multisensory  Versus  Unisensory  Integration:  Contrasting  Modes  in  the  Superior
+Colliculus, Juan Carlos Alvarado, J. William Vaughan, Terrence R. Stanford, and
+Barry E. Stein
+Department  of  Neurobiology  and  Anatomy,  Wake  Forest  University  School  of
+Medicine, Winston-Salem, North Carolina
+When  sound  and  touch  were  activated  simultaneously,  the  activation  of  the
+uditory  cortex  was  strongest.  Auditory  information  in  conjunction  with  tactile
+input  assists  with  making  tactile  decisions.  Tactile  and  auditory  stimulation
+simultaneously  and  individually  may  positively  impact  neuroplastic  changes  in
+individuals  with  neurological  deficits  or  impairments.  Used  singularly,  sound"

+72d067a6e1fd447ef512262248ad5f73823a3842,Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms,"Probabilistic Models for
+D Urban Scene Understanding
+from Movable Platforms
+Dissertation
+Dipl.-Inform. Andreas Geiger"

+72f4c415b5f3ecf63380b6985c95c5af2ba72632,Activity Recognition on a Large Scale in Short Videos - Moments in Time Dataset,"ACTIVITY RECOGNITION ON A LARGE SCALE IN
+SHORT VIDEOS - MOMENTS IN TIME DATASET
+Ankit Parag Shah* ∗
+Harini Kesavamoorthy*
+Poorva Rane*
+Pramati Kalwad*
+Alexander Hauptmann
+Florian Metze"

+72a55554b816b66a865a1ec1b4a5b17b5d3ba784,Real-Time Face Identification via CNN and Boosted Hashing Forest,"Real-Time Face Identification
+via CNN
+nd Boosted Hashing Forest
+Yury Vizilter, Vladimir Gorbatsevich, Andrey Vorotnikov and Nikita Kostromov
+State Research Institute of Aviation Systems (GosNIIAS), Moscow, Russia
+IEEE Computer Society Workshop on Biometrics
+In conjunction with CVPR 2016, June 26, 2016"

+72c248c8d3bd76e2a31963aad7286b8d06ab7f8e,Looking outside of the Box: Object Detection and Localization with Multi-scale Patterns,"Looking outside of the Box:
+Object Detection and Localization with
+Multi-scale Patterns
+Eshed Ohn-Bar, Student Member, IEEE, and Mohan Manubhai Trivedi, Fellow, IEEE"

+72a79f351d4ae03ff940ff920898e41ce960f58e,Author's Personal Copy Backtracking: Retrospective Multi-target Tracking,"(This is a sample cover image for this issue. The actual cover is not yet available at this time.)
+This article appeared in a journal published by Elsevier. The attached
+opy is furnished to the author for internal non-commercial research
+nd education use, including for instruction at the authors institution
+nd sharing with colleagues.
+Other uses, including reproduction and distribution, or selling or
+licensing copies, or posting to personal, institutional or third party
+websites are prohibited.
+In most cases authors are permitted to post their version of the
+rticle (e.g. in Word or Tex form) to their personal website or
+institutional repository. Authors requiring further information
+regarding Elsevier’s archiving and manuscript policies are
+encouraged to visit:
+http://www.elsevier.com/copyright"

+72bf9c5787d7ff56a1697a3389f11d14654b4fcf,Robust Face Recognition Using Symmetric Shape-from-Shading,"RobustFaceRecognitionUsing
+SymmetricShape-from-Shading
+W.Zhao
+RamaChellappa
+CenterforAutomationResearchand
+ElectricalandComputerEngineeringDepartment
+UniversityofMaryland
+CollegePark,MD
+ThesupportoftheO(cid:14)ceofNavalResearchunderGrantN
+727c8c696c6acc04e57b6c3541613702c22c6f0f,Optimal discrete wavelet transform (DWT) features for face recognition,"010 Asia Pacific Conference on Circuits and Systems (APCCAS 2010)
+6 - 9 December 2010, Kuala Lumpur, Malaysia
+Optimal Discrete Wavelet Transform (DWT)
+Features for Face Recognition
+Paul Nicholl
+School of Electronics, Electrical
+Engineering & Computer Science
+Queen’s Univ., Northern Ireland
+Email:
+Afandi Ahmad
+Abbes Amira
+JEC, Faculty of. Elec. and Electronic Eng.
+Univ. Tun Hussein Onn Malaysia
+NIBEC, Faculty of Comp. and Eng.
+Univ. of Ulster, Jordanstown Campus
+Johor, Malaysia
+Email:
+Northern Ireland
+Email:"

+725a45ad75caf0112d649253f8a69793b1f00e80,LIFEisGAME : An approach to the utilization of serious games for therapy for children with ASD,"LIFEisGAME: An approach to the utilization of serious
+games for therapy for children with ASD
+Tiago Fernandes1,5, Samanta Alves2, José Miranda3,5, Cristina Queirós2, Verónica
+Instituto de Telecomunicações, Lisboa, Portugal,
+Faculdade de Psicologia da Universidade do Porto, Porto, Portugal,
+Instituto Politécnico da Guarda, Porto, Portugal,
+Faculdade de Ciências da Universidade do Porto, Porto, Portugal,
+5 Faculdade de Engenharia da Universidade do Porto, Porto, Portugal,
+Orvalho1,4"

+72cebd7d046080899703ed3cd96e3019a9f60f13,Towards Transparent AI Systems: Interpreting Visual Question Answering Models,"Towards Transparent AI Systems:
+Interpreting Visual Question Answering Models
+Yash Goyal, Akrit Mohapatra, Devi Parikh, Dhruv Batra
+{ygoyal, akrit, parikh,
+Virginia Tech"

+724a493411b7c5a904445406d3037df4a22b6c89,Training of Convolutional Networks on Multiple Heterogeneous Datasets for Street Scene Semantic Segmentation,"Training of Convolutional Networks on Multiple Heterogeneous
+Datasets for Street Scene Semantic Segmentation
+Panagiotis Meletis and Gijs Dubbelman"

+4414a328466db1e8ab9651bf4e0f9f1fe1a163e4,Weighted voting of sparse representation classifiers for facial expression recognition,"© EURASIP, 2010   ISSN 2076-1465
+8th European Signal Processing Conference (EUSIPCO-2010)
+INTRODUCTION"

+44736c0c7cfced2c0f06c5ae8dd0111d9ea0dc20,On the Robustness of Speech Emotion Recognition for Human-Robot Interaction with Deep Neural Networks,"On the Robustness of Speech Emotion Recognition for Human-Robot
+Interaction with Deep Neural Networks
+Egor Lakomkin1, Mohammad Ali Zamani1, Cornelius Weber1, Sven Magg1 and Stefan Wermter1"

+44f4b1b90f8d5515f2486e07e4cb4b9589c27518,Deep Learning and Its Applications to Machine Health Monitoring: A Survey,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Deep Learning and Its Applications to Machine
+Health Monitoring: A Survey
+Rui Zhao, Ruqiang Yan, Zhenghua Chen, Kezhi Mao, Peng Wang, and Robert X. Gao"

+44b30a1048465cd56904cdcbec8e79dffab693bd,Semantic based Query Approach For Web Image Search Through reranking algorithm,"Scientific Journal of Impact Factor (SJIF): 3.134
+E-ISSN (O): 2348-4470
+P-ISSN (P): 2348-6406
+International Journal of Advance Engineering and Research
+Development
+Volume 2,Issue 12,December -2015
+Semantic based Query Approach For Web Image Search
+Through reranking algorithm
+Pushpak Waghmare1, Shubham Katkamwan2, Abhijeet Markand3,  Abuj Pratiksha4, Prof. Navale Girish Jaysingh5
+-5Department Of Computer,All India shri Shivaji Memorial Society’s"

+44442a26062c20dab7db4a9862349b598efca119,Modelling errors in a biometric re-identification system,"Modeling Errors in a Biometric Re-Identification System
+B. DeCann and A. Ross
+We consider the problem of “re-identification” where a biometric system answers the question “Has this person been encountered before?” without actually
+deducing the person’s identity. Such a system is vital in biometric surveillance applications and applicable to biometric de-duplication. In such a system, identifiers
+re created dynamically as and when the system encounters an input probe. Consequently, multiple probes of the same identity may be mistakenly assigned different
+identifiers, while probes from different identities may be mistakenly assigned the same identifier. In this work, we describe a re-identification system and develop
+terminology as well as mathematical expressions for prediction of matching errors. Further, we demonstrate that the sequential order in which the probes are
+encountered by the system has a great impact on its matching performance. Experimental analysis based on unimodal and multimodal face and fingerprint scores
+onfirms the validity of the designed error prediction model, as well as demonstrates that traditional metrics for biometric recognition fail to accurately characterize
+the error dynamics of a re-identification system.
+Introduction: In a classical biometric system [1], the input probe (query) biometric data is compared against the reference samples (templates) residing
+in the reference database (gallery). Each sample in the reference database is assigned a label, which acts as an identifier (e.g., user-id, name, etc.) that
+relates the reference sample to a specific individual and therefore, the comparison process enables the system to either determine the individual associated
+with the input data (referred to as identification or 1:N matching) or verify whether the input biometric data corresponds to a specific person (referred
+to as verification or 1:1 matching). Labels are assigned to a reference sample during an enrollment phase, when the biometric data of an individual is
+cquired and stored in the reference database. The identifier may be further associated with additional biographic data (e.g., legal name, ID number) to
+link the identifier to an identity.1 Thus, the identification and verification problems address the question: “Who is this person?” or “Is this person who
+they claim to be?”, respectively.
+In this work, we examine a variant of the classical biometric identification system, wherein probe data is input into the system from sensors at
+multiple locations. The objective of the system is to deduce: “Has this person been encountered before?”. A biometric system performing such duties"

+4425df6cc10917644c44a7f4177a5d7cc1c8b7bc,Object Localization based on Structural SVM using Privileged Information,"Object Localization based on Structural SVM
+using Privileged Information
+Jan Feyereisl, Suha Kwak∗, Jeany Son, Bohyung Han
+Dept. of Computer Science and Engineering, POSTECH, Pohang, Korea"

+4439746eeb7c7328beba3f3ef47dc67fbb52bcb3,YASAMAN HEYDARZADEH at al: AN EFFICIENT FACE DETECTION METHOD USING ADABOOST,"YASAMAN HEYDARZADEH at al: AN EFFICIENT FACE DETECTION METHOD USING ADABOOST . . .
+An Efficient Face Detection Method Using Adaboost and Facial Parts
+Yasaman Heydarzadeh, Abolfazl Toroghi Haghighat
+Computer, IT and Electronic department
+Azad University of Qazvin
+Tehran, Iran
+qiau.ac.ir ,"

+446a99fdedd5bb32d4970842b3ce0fc4f5e5fa03,A Pose-Adaptive Constrained Local Model for Accurate Head Pose Tracking,"A Pose-Adaptive Constrained Local Model For
+Accurate Head Pose Tracking
+Lucas Zamuner
+Eikeo
+1 rue Leon Jouhaux,
+F-75010, Paris, France
+Kevin Bailly
+Sorbonne Universit´es
+UPMC Univ Paris 06
+CNRS UMR 7222, ISIR
+F-75005, Paris, France
+Erwan Bigorgne
+Eikeo
+1 rue Leon Jouhaux,
+F-75010, Paris, France"

+44b1399e8569a29eed0d22d88767b1891dbcf987,Learning Multi-modal Latent Attributes,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.
+IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
+Learning Multi-modal Latent Attributes
+Yanwei Fu, Timothy M. Hospedales, Tao Xiang and Shaogang Gong"

+448efcae3b97aa7c01b15c6bc913d4fbb275f644,Style Finder: Fine-Grained Clothing Style Recognition and Retrieval,"Style Finder: Fine-Grained Clothing Style Recognition and Retrieval
+Wei Di2, Catherine Wah1, Anurag Bhardwaj2, Robinson Piramuthu2, and Neel Sundaresan2
+Department of Computer Science and Engineering, University of California, San Diego
+eBay Research Labs, 2145 Hamilton Ave. San Jose, CA"

+4443ee5eaa56e41acddb62cacbc2f6d8c84ccd59,Multiple Objects Fusion Tracker Using a Matching Network for Adaptively Represented Instance Pairs,"Article
+Multiple Objects Fusion Tracker Using a Matching
+Network for Adaptively Represented Instance Pairs
+Sang-Il Oh and Hang-Bong Kang *
+Department of Media Engineering, Catholic University of Korea, 43-1, Yeoggok 2-dong, Wonmmi-gu,
+Bucheon-si, Gyeonggi-do 14662, Korea;
+* Correspondence: Tel.: +82-2-2164-4598
+Academic Editor: Simon X. Yang
+Received: 27 February 2017; Accepted: 14 April 2017; Published: 18 April 2017"

+446dc1413e1cfaee0030dc74a3cee49a47386355,Recent Advances in Zero-shot Recognition,"Recent Advances in Zero-shot Recognition
+Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue, Leonid Sigal, and Shaogang Gong"

+44a3ec27f92c344a15deb8e5dc3a5b3797505c06,A Taxonomy of Part and Attribute Discovery Techniques,"A Taxonomy of Part and Attribute Discovery
+Techniques
+Subhransu Maji"

+44880df54e6caa3e7263db7a4d5cb77838f4698f,Learning Optimal Parameters for Multi-target Tracking with Contextual Interactions,"Learning Optimal Parameters for Multi-target Tracking with Contextual
+Interactions
+Shaofei Wang · Charless C. Fowlkes"

+44bb6ccb3526bb38364550263bc608116910da32,Model-Driven Simulations for Computer Vision,"017 IEEE Winter Conference on Applications of Computer Vision
+Model-driven Simulations for Computer Vision
+VSR Veeravasarapu1, Constantin Rothkopf2, Ramesh Visvanathan1
+Center for Cognition and Computation, Dept. of Computer Science, Goethe University, Frankfurt
+Center for Cognitive Science & Dept. of Psychology, Technical University Darmstadt.
+(a) Lambertian
+(Direct-lighting based rendering)
+(b) Ray tracing
+(appearance-driven rendering)
+(c) Monte-Carlo rendering
+(physics-driven rendering)
+(d) Semantic labels
+(e) Day light
+(f) Night
+Figure 1: Rendering fidelity and Virtual scene diversity. This work aims to quantify the impact of photorealism and physics
+fidelity on transfer learning from virtual reality. (a)-(c): Images of same scene state rendered with different rendering engines.
+(e)-(g): Same scene under different lighting. (d) and (h) semantic labels. Color coding scheme for labels is same as [5].
+(g) Rain
+(h) Semantic labels"

+44993de87bbbce71f14d7917944d055700217696,A late fusion approach to combine multiple pedestrian detectors,"A Late Fusion Approach to Combine Multiple
+Pedestrian Detectors
+Artur Jord˜ao, Jessica Sena de Souza, William Robson Schwartz
+Smart Surveillance Interest Group, Computer Science Department
+Universidade Federal de Minas Gerais, Minas Gerais, Brazil"

+44241248f16c172a1c2fb90e48fd728ba26220fc,Expression-invariant Non-rigid 3D Face Recognition: A Robust Approach to Expression-aware Morphing,"Expression-invariant Non-rigid 3D Face Recognition: A Robust Approach to
+Expression-aware Morphing
+F. R. Al-Osaimi
+M. Bennamoun
+A. Mian"

+44dd150b9020b2253107b4a4af3644f0a51718a3,An Analysis of the Sensitivity of Active Shape Models to Initialization When Applied to Automatic Facial Landmarking,"An Analysis of the Sensitivity of Active Shape
+Models to Initialization when Applied to Automatic
+Facial Landmarking
+Keshav Seshadri, Student Member, IEEE and Marios Savvides, Member, IEEE"

+447d8893a4bdc29fa1214e53499ffe67b28a6db5,Electronic Transport in Quantum Confined Systems,"THÈSEPour obtenir le titre deDOCTEUR DE L’UNIVERSITÉSpécialitéSCIENCES DES MATÉRIAUXParMaxime BERTHEElectronic transport in quantum confined systemsSoutenue le 11 décembre 2007 devant la commission d’examen composée de:B. DJAFARI-ROUHANIS. ROUSSETD. RODITCHEVF. CHARRAD. STIÉVENARDH. SHIGEKAWAB. GRANDIDIERPrésidentRapporteurRapporteurExaminateurDirecteur de thèseCo-directeur de thèseCo-directeur de thèsel’Université des Sciences et Technologies de LilleEcole Doctorale Sciences de la Matière, du Rayonnement et de l’EnvironnementPrésentée à"

+44f65e3304bdde4be04823fd7ca770c1c05c2cef,On the use of phase of the Fourier transform for face recognition under variations in illumination,"SIViP
+DOI 10.1007/s11760-009-0125-4
+ORIGINAL PAPER
+On the use of phase of the Fourier transform for face recognition
+under variations in illumination
+Anil Kumar Sao · B. Yegnanarayana
+Received: 17 November 2008 / Revised: 20 February 2009 / Accepted: 7 July 2009
+© Springer-Verlag London Limited 2009"

+44703dea094eb9558965db9439a07b9a74fd36b5,"Multiculturalism, Colorblindness, and Prejudice: Examining How Diversity Ideologies Impact Intergroup Attitudes","University of Arkansas, Fayetteville
+Theses and Dissertations
+8-2018
+Multiculturalism, Colorblindness, and Prejudice:
+Examining How Diversity Ideologies Impact
+Intergroup Attitudes
+David Sparkman
+University of Arkansas, Fayetteville
+Follow this and additional works at: https://scholarworks.uark.edu/etd
+Part of the Social Psychology Commons
+Recommended Citation
+Sparkman, David, ""Multiculturalism, Colorblindness, and Prejudice: Examining How Diversity Ideologies Impact Intergroup
+Attitudes"" (2018). Theses and Dissertations. 2923.
+https://scholarworks.uark.edu/etd/2923
+This Dissertation is brought to you for free and open access by It has been accepted for inclusion in Theses and Dissertations by
+n authorized administrator of For more information, please contact"

+4461a1b70e461ec298d7066ba103deda48d4ba22,Classification via Minimum Incremental Coding Length,"Vol. 2, No. 2, pp. 367–395
+(cid:2) 2009 Society for Industrial and Applied Mathematics
+Classification via Minimum Incremental Coding Length
+John Wright
+, Yi Ma
+, Yangyu Tao
+, Zhouchen Lin
+, and Heung-Yeung Shum"

+442cc39db208a66acf3acc22589b13981bb303fd,Design of Non-Linear Discriminative Dictionaries for Image Classification,"CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
+Design of Non-Linear Discriminative
+Dictionaries for Image Classi(cid:12)cation
+Anonymous ACCV 2012 submission
+Paper ID 662"

+447a5e1caf847952d2bb526ab2fb75898466d1bc,Learning Non-linear Transform with Discrim- Inative and Minimum Information Loss Priors,"Under review as a conference paper at ICLR 2018
+LEARNING NON-LINEAR TRANSFORM WITH DISCRIM-
+INATIVE AND MINIMUM INFORMATION LOSS PRIORS
+Anonymous authors
+Paper under double-blind review"

+4452c36dc4c5e9f11d041489c8ff2e7006d33c80,"A Computational Analysis of Recent Multi-Object Tracking Methods Based on Particle Filter, HMM and Appearance Information of Objects","International Journal of Emerging Technology and Advanced Engineering
+Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 3, Issue 02, February 2013)
+A Computational Analysis of Recent Multi-Object Tracking
+Methods Based on Particle Filter, HMM and Appearance
+Information of Objects
+Raksha Shrivastava1, Professor Rajesh Nema 2
+,2Department of Electronics and Communication, NRI Institute of Information Science and Technology, Bhopal (M.P)"

+2a7bca56e2539c8cf1ae4e9da521879b7951872d,Exploiting Unrelated Tasks in Multi-Task Learning,"Exploiting Unrelated Tasks in Multi-Task Learning
+Anonymous Author 1
+Unknown Institution 1
+Anonymous Author 2
+Unknown Institution 2
+Anonymous Author 3
+Unknown Institution 3"

+2af2aa21538783e46911fb857a23dbb88ed90c2b,A Study on Deep Learning Based Sauvegrain Method for Measurement of Puberty Bone Age,"A Study on Deep Learning Based
+Sauvegrain Method for Measurement
+of Puberty Bone Age
+Keum Gang Cha∗
+Seung Bin Baik∗
+Plani Inc.
+Plani Inc.
+September 20, 2018"

+2aa08ab3d6c227e3b071dc470a2f36dc5d4a2403,Ensembling Visual Explanations for VQA,"To Appear In Proceedings of the NIPS 2017 workshop on Visually-Grounded
+Interaction and Language (ViGIL), December 2017."

+2a2b99fc9583419931681acfd83ac953a3df3270,Estimating the quality of face localization for face verification,"ESTIMATING THE QUALITY OF FACE LOCALIZATION FOR FACE VERIFICATION
+Yann Rodriguez
+Fabien Cardinaux
+Samy Bengio
+Johnny Mari´ethoz
+IDIAP
+CP 592, rue du Simplon 4
+920 Martigny, Switzerland"

+2a93ce4284c7f8605e1d9bc0a8b86036073ebf61,"Tracking, Learning and Detection of Multiple Objects in Video Sequences","Master Thesis
+Czech
+Technical
+University
+in Prague
+Faculty of Electrical Engineering
+Department of Cybernetics
+Tracking, Learning and Detection of
+Multiple Objects in Video Sequences
+Filip Naiser
+Supervisor: prof. Ing. Jiří Matas, Ph.D.
+January 2017"

+2a218c17944d72bfdc7f078f0337cab67536e501,Detection bank: an object detection based video representation for multimedia event recognition,"Detection Bank: An Object Detection Based Video
+Representation for Multimedia Event Recognition
+Tim Althoff, Hyun Oh Song, Trevor Darrell
+UC Berkeley EECS/ICSI
+Multimedia Event Detection
+Birthday Party      vs      Wedding Ceremony
+● ObjectBank omits the following steps that are
+standard in a detection pipeline:
+● Thresholding of score maps
+● Non-maximum suppression
+● Pooling across all scales
+● We compute different detection count statistics to
+apture e.g. max number of detections, sum of
+detection scores, probablity of detection based on
+the detection images from a large number of
+windowed object detectors.
+Detection Count Statistics
+Look for: Balloon, Candle, Birthday Cake vs.
+Bride, Groom, Wedding Gown, Wedding Cake
+Illustration"

+2a152dae1ba70d0cc605b0f7418392ed1a294a4a,Head Pose Detection Using Fast Robust PCA for Side Active Appearance Models Under Occlusion,"Head Pose Detection Using Fast Robust PCA
+for Side Active Appearance Models Under Occlusion
+Anıl Yüce1, Matteo Sorci2, and Jean-Philippe Thiran1
+Signal Processing Laboratory (LTS5)
+École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
+nViso Sàrl, Lausanne, Switzerland"

+2a12c72b0328a23b0d7ea63db1f93abf3054beec,Extended Feature Descriptor and Vehicle Motion Model with Tracking-by-Detection for Pedestrian Active Safety,"IEICE TRANS. ??, VOL.Exx–??, NO.xx XXXX 200x
+PAPER
+Extended Feature Descriptor and Vehicle Motion Model with
+Tracking-by-detection for Pedestrian Active Safety
+Hirokatsu KATAOKAy;yya), Kimimasa TAMURAy, Nonmembers, Kenji IWATAyyy, Yutaka SATOHyyy, Members,
+Yasuhiro MATSUIyyyy, Nonmember, and Yoshimitsu AOKIy, Member
+SUMMARY
+The percentage of pedestrian deaths in traf‌f‌ic accidents is
+on the rise in Japan. In recent years, there have been calls for measures
+to be introduced to protect vulnerable road users such as pedestrians and
+yclists. In this study, a method to detect and track pedestrians using an
+in-vehicle camera is presented. We improve the technology of detecting
+pedestrians by using the highly accurate images obtained with a monocular
+amera. In the detection step, we employ ECoHOG as the feature descrip-
+tor; it accumulates the integrated gradient intensities. In the tracking step,
+we apply an effective motion model using optical flow and the proposed
+feature descriptor ECoHOG in a tracking-by-detection framework. These
+techniques were verified using images captured on real roads.
+key words: Pedestrian Active Safety, Tracking-by-detection, ECoHOG,
+Particle Filter, Vehicle Motion Model"

+2a067874fc1ec318b6d23f34bdb13ea4e95d5ca6,An Evaluation of Image-Based Verb Prediction Models against Human Eye-Tracking Data,"New Orleans, Louisiana, June 1 - 6, 2018. c(cid:13)2018 Association for Computational Linguistics
+Proceedings of NAACL-HLT 2018, pages 758–763"

+2ad2af8e3bdeb0302de07defc3fec9b387414a27,Don't Look Back: Post-hoc Category Detection via Sparse Reconstruction,"Don't Look Back: Post-hoc Category Detection via
+Sparse Reconstruction
+Hyun Oh Song
+Mario Fritz
+Tim Althoff
+Trevor Darrell
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2012-16
+http://www.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-16.html
+January 24, 2012"

+2a86bcdfb1d817ddb76ba202319f8267a36c0f62,PCL: Proposal Cluster Learning for Weakly Supervised Object Detection,"JOURNAL OF LATEX CLASS FILES
+PCL: Proposal Cluster Learning for Weakly
+Supervised Object Detection
+Peng Tang, Xinggang Wang, Member, IEEE, Song Bai, Wei Shen, Xiang Bai, Senior Member, IEEE,
+Wenyu Liu, Senior Member, IEEE, and Alan Yuille, Fellow, IEEE"

+2a259fd1b4442a71cd127afac417a650ffc379d9,Human upper body posture recognition and upper limbs motion parameters estimation,"Human Upper Body Posture Recognition and Upper
+Limbs Motion Parameters Estimation
+Jun-Yang Huang1 Shih-Chung Hsu1and Chung-Lin Huang1,2
+.  Department Of Electrical Engineering, National Tsing-Hua University, Hsin-Chu, Taiwan
+.  Department of Applied Informatics and Multimedia, Asia Univeristy, Tai-Chung, Taiwan.
+Email:"

+2a0efb1c17fbe78470acf01e4601a75735a805cc,Illumination-Insensitive Face Recognition Using Symmetric Shape-from-Shading,"Illumination-InsensitiveFaceRecognitionUsing
+SymmetricShape-from-Shading
+WenYiZhao
+RamaChellappa
+CenterforAutomationResearch
+UniversityofMaryland,CollegePark,MD
+2a7e2cda27807d24b845f5b5080fb1296c302bfe,Personal Authentication Using Signature Recognition,"Personal Authentication Using Signature Recognition
+Diana Kalenova
+Department of Information Technology, Laboratory of Information Processing,
+Lappeenranta University of Technology"

+2a08147bf88041c6e0354e26762b4e4d65d5163f,Trimmed Event Recognition ( Moments in Time ) : Submission to ActivityNet Challenge 2018,"Trimmed Event Recognition (Moments in Time):
+Submission to ActivityNet Challenge 2018
+Dongyang Cai"

+2a3227f54286d8a36736663781f194167f2b6582,Nonlinear Dimensionality Reduction for Discriminative Analytics of Multiple Datasets,"Nonlinear Dimensionality Reduction for
+Discriminative Analytics of Multiple Datasets
+Jia Chen, Gang Wang, Member, IEEE, and Georgios B. Giannakis, Fellow, IEEE"

+2ade545f25f5ba66295aeab3a89583e7cf6101b3,A Dataset for Airborne Maritime Surveillance Environments,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TCSVT.2017.2775524, IEEE
+Transactions on Circuits and Systems for Video Technology
+A Dataset for Airborne Maritime Surveillance
+Environments
+Ricardo Ribeiro, Member, IEEE, Gonc¸alo Cruz, Jorge Matos, Student, IST,
+nd Alexandre Bernardino, Member, IEEE,"

+2aec012bb6dcaacd9d7a1e45bc5204fac7b63b3c,Robust Registration and Geometry Estimation from Unstructured Facial Scans,"Robust Registration and Geometry Estimation from Unstructured
+Facial Scans
+Maxim Bazik1 and Daniel Crispell2"

+2ac31bc7a4dd0256166208dcc8d5dfa99347117e,A Window-Based Classifier for Automatic Video-Based Reidentification,"A Window-Based Classifier for Automatic
+Video-Based Reidentification
+Dario Figueira, Matteo Taiana, Jacinto C. Nascimento, Member, IEEE, and Alexandre Bernardino, Member, IEEE"

+2ae139b247057c02cda352f6661f46f7feb38e45,Combining modality specific deep neural networks for emotion recognition in video,"Combining Modality Specific Deep Neural Networks for
+Emotion Recognition in Video
+Samira Ebrahimi Kahou1, Christopher Pal1, Xavier Bouthillier2, Pierre Froumenty1,
+Ça˘glar Gülçehre2,∗ , Roland Memisevic2, Pascal Vincent2, Aaron Courville2, & Yoshua Bengio2
+École Polytechique de Montréal, Université de Montréal, Montréal, Canada
+Laboratoire d’Informatique des Systèmes Adaptatifs, Université de Montréal, Montréal, Canada
+{samira.ebrahimi-kahou, christopher.pal,
+{bouthilx, gulcehrc, memisevr, vincentp, courvila,"

+2a86bc520586f611771c2052b50ac52239414dd2,CrowdHuman: A Benchmark for Detecting Human in a Crowd,"CrowdHuman: A Benchmark for Detecting Human in a Crowd
+Shuai Shao∗ Zijian Zhao∗ Boxun Li
+Tete Xiao Gang Yu Xiangyu Zhang
+Jian Sun
+{shaoshuai, zhaozijian, liboxun, xtt, yugang, zhangxiangyu,
+Megvii Inc. (Face++)"

+2a1deffc67ccb5f8ca5897ac3f31dac09af70f05,Robust Subspace Clustering via Tighter Rank Approximation,"Robust Subspace Clustering via Tighter Rank
+Approximation
+Zhao Kang
+Computer Science Dept.
+Southern Illinois University
+Carbondale, IL, USA
+Chong Peng
+Computer Science Dept.
+Southern Illinois University
+Carbondale, IL, USA
+Qiang Cheng
+Computer Science Dept.
+Southern Illinois University
+Carbondale, IL, USA"

+2a83a51c9596ed796da52bdac49ca30e4eb04345,Eclectic Genetic Algorithm for Holistic Face Recognition in L ∞ Space,"Eclectic Genetic Algorithm for Holistic Face
+Recognition in L∞ Space
+C. Villegas, J. Climent, C.R. Murillo, A. Otero, C.R. Villegas"

+2a87f95e36938ca823b33c72a633d8d902d5cb86,xytocin Improves “Mind-Reading” in Humans,"PRIORITY COMMUNICATION
+Oxytocin Improves “Mind-Reading” in Humans
+Gregor Domes, Markus Heinrichs, Andre Michel, Christoph Berger, and Sabine C. Herpertz
+Background: The ability to “read the mind” of other individuals, that is, to infer their mental state by interpreting subtle social cues, is
+indispensable in human social interaction. The neuropeptide oxytocin plays a central role in social approach behavior in nonhuman
+mammals.
+Methods: In a double-blind, placebo-controlled, within-subject design, 30 healthy male volunteers were tested for their ability to infer
+the affective mental state of others using the Reading the Mind in the Eyes Test (RMET) after intranasal administration of 24 IU oxytocin.
+Results: Oxytocin improved performance on the RMET compared with placebo. This effect was pronounced for difficult compared with
+easy items.
+Conclusions: Our data suggest that oxytocin improves the ability to infer the mental state of others from social cues of the eye region.
+Oxytocin might play a role in the pathogenesis of autism spectrum disorder, which is characterized by severe social impairment.
+Key Words: Emotion, oxytocin, peptide, social cognition, theory of
+T he ability to infer the internal state of another person to
+dapt one’s own behavior is a cornerstone of all human
+social interactions. Humans have to infer internal states
+from external cues such as facial expressions in order to make
+sense of or predict another person’s behavior, an ability that is
+referred  to  as  “mind-reading”  (Siegal  and  Varley  2002;  Stone  et  al
+998).  In  particular,  individuals  with  autism  have  distinct  diffi-"

+2a6c7d5aa087233ff8a09bdaa34d5f76f3330a4f,A Survey of Efficient Regression of General-Activity Human Poses from Depth Images,"A Survey of Efficient Regression of General-Activity Hu-
+man Poses from Depth Images
+Wenye He
+This paper presents a comprehensive review on regression-based method for human pose es-
+timation. The problem of human pose estimation has been intensively studied and enabled
+many application from entertainment to training. Traditional methods often rely on color im-
+ge only which cannot completely ambiguity of joint’s 3D position, especially in the complex
+ontext. With the popularity of depth sensors, the precision of 3D estimation has significant
+improvement. In this paper, we give a detailed analysis of state-of-the-art on human pose
+estimation, including depth image based and RGB-D based approaches. The experimental
+results demonstrate their advantages and limitation for different scenarios.
+Introduction
+Human pose estimation from images has been studied for decades in computer vision. As recent
+development in cameras and sensors, depth images receive a wide spread of notice from researchers
+from body pose estimation 1 to 3D reconstruction 2. Girshick et al.1 present an approach to find the
+joints position in human body from depth images. They address the problem of general-activity
+pose estimation. Their regression-based approach sucessfully computes the joint positions even
+with occlusion. Their method can be view as a new combination of two existing works, implicit
+shape models3 and Hough forest4. The following sections cover related works, explanation on the
+method from testing to training, and result and comparison."

+2a2232f2972191a0606d588aa4f13c9f27d1972d,InstanceCut: From Edges to Instances with MultiCut,"InstanceCut: from Edges to Instances with MultiCut
+Alexander Kirillov1 Evgeny Levinkov2 Bjoern Andres2 Bogdan Savchynskyy1 Carsten Rother1
+TU Dresden, Dresden, Germany
+MPI for Informatics, Saarbr¨ucken, Germany"

+2a06341b40b3fd27483b2a8d8cbf86fddf45e423,Automatic generation of ground truth for the evaluation of obstacle detection and tracking techniques,"Automatic generation of ground truth for the evaluation of obstacle detection
+nd tracking techniques
+Hatem Hajri∗, Emmanuel Doucet∗†, Marc Revilloud∗, Lynda Halit∗, Benoit Lusetti∗,
+Mohamed-Cherif Rahal∗
+Automated Driving Research Team, Institut VEDECOM, Versailles, France
+InnoCoRe Team, Valeo, Bobigny, France"

+2acf319c5eac89cc9e0ed24633e4408dbd4a8a5b,The Effect of Distance Measures on the Recognition Rates of PCA and LDA Based Facial Recognition,"The Effect of Distance Measures on the Recognition Rates of PCA
+nd LDA Based Facial Recognition
+Philip Miller, Jamie Lyle
+Digitial Image Processing
+Clemson Universtiy
+{pemille,"

+2a40917ef436000b22bc7c6f35400440ef673d36,Learning clustered sub-spaces for sketch-based image retrieval,"Learning Clustered Sub-spaces for Sketch-based Image Retrieval
+Koustav Ghosal Ameya Prabhu
+Riddhiman Dasgupta
+koustav.ghosal∗
+meya.prabhu∗
+riddhiman.dasgupta∗
+Anoop M Namboodiri
+noop†
+Centre for Visual Information Technology, IIIT-Hyderabad, India"

+2a56a51490f6ccfaf6fcbdf546a5515bef5203a1,"Attention, please!: Comparing Features for Measuring Audience Attention Towards Pervasive Displays","Attention, please! Comparing Features for Measuring
+Audience Attention Towards Pervasive Displays
+Florian Alta, Andreas Bullingb, Lukas Meckea, Daniel Buscheka
+LMU Munich
+Munich, Germany"

+2aa362740ac9a2b304a74122da820e3829689842,"Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age","Past, Present, and Future of Simultaneous
+Localization And Mapping: Towards the
+Robust-Perception Age
+Cesar Cadena, Luca Carlone, Henry Carrillo, Yasir Latif,
+Davide Scaramuzza, Jos´e Neira, Ian Reid, John J. Leonard"

+2ad0ee93d029e790ebb50574f403a09854b65b7e,Acquiring linear subspaces for face recognition under variable lighting,"Acquiring Linear Subspaces for Face
+Recognition under Variable Lighting
+Kuang-Chih Lee, Student Member, IEEE, Jeffrey Ho, Member, IEEE, and
+David Kriegman, Senior Member, IEEE"

+2a8aedea2031128868f1c6dd44329c5bb7afc419,A Convex Duality Framework for GANs,"A Convex Duality Framework for GANs
+Farzan Farnia∗
+David Tse∗"

+2acf7e58f0a526b957be2099c10aab693f795973,Bosphorus Database for 3D Face Analysis,"Bosphorus Database for 3D Face Analysis
+Arman Savran1, Neşe Alyüz2, Hamdi Dibeklioğlu2, Oya Çeliktutan1, Berk Gökberk3,
+Bülent Sankur1, and Lale Akarun2
+Boğaziçi University, Electrical and Electronics Engineering Department
+Boğaziçi University, Computer Engineering Department
+Philips Research, Eindhoven, The Netherlands"

+2ab9c36e19090ed9ac5295b3704708bdce80462d,Zero-Shot Learning via Category-Specific Visual-Semantic Mapping and Label Refinement,"Zero-Shot Learning via Category-Specific
+Visual-Semantic Mapping
+Li Niu, Jianfei Cai, and Ashok Veeraraghavan"

+2ac986ec18c3572ee4f922ba9a90ae374563491c,A New Approach of Human Segmentation from Photo Images,"International Journal of Scientific and Research Publications, Volume 5, Issue 1, January 2015
+ISSN 2250-3153
+A New Approach of Human Segmentation from Photo
+Images
+Ashwini Magar*, Prof.J.V.Shinde**
+* Computer Department, Late G .N. Sapkal College Of Engineering, Savitribai Phule Pune University
+** Computer Department, Late G .N .Sapkal College Of Engineering, Savitribai Phule Pune University"

+2a6327a8bdbd31e2c08863b96c4f09245db8cab7,Targets ' facial width-to-height ratio biases pain judgments ☆,"Journal of Experimental Social Psychology 74 (2018) 56–64
+Contents lists available at ScienceDirect
+Journal of Experimental Social Psychology
+journal homepage: www.elsevier.com/locate/jesp
+Targets' facial width-to-height ratio biases pain judgments☆
+Jason C. Deska⁎, Kurt Hugenberg
+Miami University, 501 East High Street, Oxford, OH 45056, United States
+A R T I C L E I N F O
+A B S T R A C T
+Keywords:
+Facial width-to-height ratio
+Pain judgments
+Pain perception
+The accurate perception of others' pain is important for both perceivers and targets. Yet, like other person
+perception judgments, pain judgments are prone to biases. Although past work has begun detailing character-
+istics of targets that can bias pain judgments (e.g., race, gender), the current work examines a novel source of
+ias inherent to all targets: structural characteristics of the human face. Specifically, we present four studies
+demonstrating that facial width-to-height ratio, a stable feature of all faces, biases pain judgments. Compared to
+those with low facial width-to-height ratio, individuals with high facial width-to-height ratio are perceived as
+experiencing less pain in otherwise identical situations (Studies 1, 2, & 3), and as needing less pain medication to"

+2ff9618ea521df3c916abc88e7c85220d9f0ff06,Facial Tic Detection Using Computer Vision,"Facial Tic Detection Using Computer Vision
+Christopher D. Leveille
+Advisor: Prof. Aaron Cass
+March 20, 2014"

+2f587ab6694fdcfe6bd2977120ebeb758e28d77f,Coupled Generative Adversarial Nets,"MITSUBISHI ELECTRIC RESEARCH LABORATORIES
+http://www.merl.com
+Coupled Generative Adversarial Nets
+Liu, M.-Y.; Tuzel, O.
+TR2016-070
+June 2016"

+2f0c30d6970da9ee9cf957350d9fa1025a1becb4,Deformable Convolutional Networks,"Deformable Convolutional Networks
+Jifeng Dai∗ Haozhi Qi∗,† Yuwen Xiong∗,† Yi Li∗,† Guodong Zhang∗,† Han Hu Yichen Wei
+Microsoft Research Asia"

+2fda461869f84a9298a0e93ef280f79b9fb76f94,OpenFace: An open source facial behavior analysis toolkit,"OpenFace: an open source facial behavior analysis toolkit
+Tadas Baltruˇsaitis
+Peter Robinson
+Louis-Philippe Morency"

+2f0d5cd2d25ea2f3add0139cf4b61f358435bab8,A New Effective System for Filtering Pornography Videos,"Tarek Abd El Hafeez / (IJCSE) International Journal on Computer Science and Engineering
+Vol. 02, No. 09, 2010, 2847-2852
+A New Effective System for Filtering
+Pornography Videos
+Tarek Abd El-Hafeez
+Department of Computer Science,
+Faculty of Science, Minia University
+El-Minia, Egypt"

+2ffcd35d9b8867a42be23978079f5f24be8d3e35,Satellite based Image Processing using Data mining,"ISSN XXXX XXXX © 2018 IJESC
+Research Article                                                                                                                            Volume 8 Issue No.6
+Satellite based Image Processing using Data mining
+E.Malleshwari1, S.Nirmal Kumar2, J.Dhinesh3
+Professor1, Assistant Professor2, PG Scholar3
+Department of Information Technology1, 2, Master of Computer Applications3
+Vel Tech High Tech Dr Rangarajan Dr Sakunthala Engineering College, Avadi, Chennai, India"

+2fa16dc0ee50550c1bf58c410912d48cddbc3554,Search Tracker: Human-Derived Object Tracking in the Wild Through Large-Scale Search and Retrieval,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TCSVT.2016.2555718, IEEE
+Transactions on Circuits and Systems for Video Technology
+Search Tracker: Human-derived object tracking
+in-the-wild through large-scale search and retrieval
+Archith John Bency, Student Member, IEEE S. Karthikeyan,, Carter De Leo, Santhoshkumar Sunderrajan,
+Member, IEEE and B. S. Manjunath, Fellow, IEEE"

+2f7e9b45255c9029d2ae97bbb004d6072e70fa79,cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey,"Noname manuscript No.
+(will be inserted by the editor)
+vpaper.challenge in 2015
+A review of CVPR2015 and DeepSurvey
+Hirokatsu Kataoka · Yudai Miyashita · Tomoaki Yamabe · Soma
+Shirakabe · Shin’ichi Sato · Hironori Hoshino · Ryo Kato · Kaori Abe ·
+Takaaki Imanari · Naomichi Kobayashi · Shinichiro Morita · Akio
+Nakamura
+Received: date / Accepted: date"

+2f04c7aaac3a884088be550d1be51b4a0b585a2e,"Robust, Real-Time 3D Tracking of Multiple Objects with Similar Appearances","Robust, Real-Time 3D Tracking of Multiple Objects with Similar Appearances
+Taiki Sekii
+Panasonic System Networks R&D Lab. Co., Ltd."

+2f489bd9bfb61a7d7165a2f05c03377a00072477,Structured Semi-supervised Forest for Facial Landmarks Localization with Face Mask Reasoning,"JIA, YANG: STRUCTURED SEMI-SUPERVISED FOREST
+Structured Semi-supervised Forest for
+Facial Landmarks Localization with Face
+Mask Reasoning
+Department of Computer Science
+The Univ. of Hong Kong, HK
+School of EECS
+Queen Mary Univ. of London, UK
+Xuhui Jia1
+Heng Yang2
+Angran Lin1
+Kwok-Ping Chan1
+Ioannis Patras2"

+2f33884d0612fcc3f7eed66e1a4acc229860d6b5,Survey on Spatio-Temporal View Invariant Human Pose Recovery,"Survey on Spatio-Temporal View
+Invariant Human Pose Recovery
+Xavier Perez-Sala, Email: a;c,
+Sergio Escalera, Email: b;c and
+Cecilio Angulo, Email: a
+CETpD-UPC Technical Research Center for Dependency Care and Autonomous
+Living, Universitat Polit`ecnica de Catalunya, Ne`apolis, Rambla de l’Exposici´o, 59-69,
+Dept. Mathematics, Universitat de Barcelona, Gran Via de les Corts Catalanes 585,
+08800 Vilanova i la Geltru, Spain
+Computer Vision Center, Campus UAB, Edifici 0, 08193, Bellaterra, Spain
+08007, Barcelona, Spain"

+2f7452476910a7dbf6231b6b27aed67d9ed455d3,Seam carving for content-aware image resizing,"Seam Carving for Content-Aware Image Resizing
+Shai Avidan
+Mitsubishi Electric Research Labs
+Ariel Shamir
+The Interdisciplinary Center & MERL
+Figure 1: A seam is a connected path of low energy pixels in an image. On the left is the original image with one horizontal and one vertical
+seam. In the middle the energy function used in this example is shown (the magnitude of the gradient), along with the vertical and horizontal
+path maps used to calculate the seams. By automatically carving out seams to reduce image size, and inserting seams to extend it, we achieve
+ontent-aware resizing. The example on the top right shows our result of extending in one dimension and reducing in the other, compared to
+standard scaling on the bottom right."

+2f29b13fcf7a92a3cc438014068f11f9e45d62be,"AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups","AMIGOS: A dataset for Mood, personality and
+ffect research on Individuals and GrOupS
+Juan Abdon Miranda-Correa, Student Member, IEEE, Mojtaba Khomami Abadi, Student Member, IEEE,
+Nicu Sebe, Senior Member, IEEE, and Ioannis Patras, Senior Member, IEEE"

+2fe0555f2b92a81992247519cb8fdc047069e2b0,A Semantic World Model for Urban Search and Rescue Based on Heterogeneous Sensors,"This is a preprint of a paper which appeared in the Proceedings of
+RoboCup 2010: Robot Soccer World Cup XIV
+A Semantic World Model for Urban Search and
+Rescue Based on Heterogeneous Sensors
+Johannes Meyer2, Paul Schnitzspan1, Stefan Kohlbrecher1, Karen Petersen1,
+Mykhaylo Andriluka1, Oliver Schwahn1, Uwe Klingauf2, Stefan Roth1,
+Bernt Schiele1,3, and Oskar von Stryk1
+Department of Computer Science, TU Darmstadt, Germany
+Department of Mechanical Engineering, TU Darmstadt, Germany
+MPI Informatics, Saarbr¨ucken, Germany"

+2f23f7d08c7b8670289cfedd1e571f44a3bace8b,Contextual Information and Covariance Descriptors for People Surveillance: An Application for Safety of Construction Workers,"Hindawi Publishing Corporation
+EURASIP Journal on Image and Video Processing
+Volume 2011, Article ID 684819, 16 pages
+doi:10.1155/2011/684819
+Research Article
+Contextual Information and Covariance Descriptors for People
+Surveillance: An Application for Safety of Construction Workers
+Giovanni Gualdi,1 Andrea Prati,2 and Rita Cucchiara1
+DII, University of Modena and Reggio Emilia, 41122 Modena, Italy
+DISMI, University of Modena and Reggio Emilia, 42122 Reggio Emilia, Italy
+Correspondence should be addressed to Andrea Prati,
+Received 30 April 2010; Revised 7 October 2010; Accepted 10 December 2010
+Academic Editor: Luigi Di Stefano
+Copyright © 2011 Giovanni Gualdi et al. This is an open access article distributed under the Creative Commons Attribution
+License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly
+ited.
+In computer science, contextual information can be used both to reduce computations and to increase accuracy. This paper
+discusses how it can be exploited for people surveillance in very cluttered environments in terms of perspective (i.e., weak scene
+alibration) and appearance of the objects of interest (i.e., relevance feedback on the training of a classifier). These techniques are
+pplied to a pedestrian detector that uses a LogitBoost classifier, appropriately modified to work with covariance descriptors which"

+2f59f28a1ca3130d413e8e8b59fb30d50ac020e2,Children Gender Recognition Under Unconstrained Conditions Based on Contextual Information,"Children Gender Recognition Under Unconstrained
+Conditions Based on Contextual Information
+Riccardo Satta, Javier Galbally and Laurent Beslay
+Joint Research Centre, European Commission, Ispra, Italy
+Email:"

+2f43bfedb8cffc9e44de9f95db80b26395a29cc8,Generalized Hadamard-Product Fusion Operators for Visual Question Answering,"Generalized Hadamard-Product Fusion Operators
+for Visual Question Answering
+Brendan Duke∗†, Graham W. Taylor∗†‡
+School of Engineering, University of Guelph
+Vector Institute for Artificial Intelligence
+Canadian Institute for Advanced Research"

+2f78e471d2ec66057b7b718fab8bfd8e5183d8f4,An Investigation of a New Social Networks Contact Suggestion Based on Face Recognition Algorithm,"SOFTWARE ENGINEERING
+VOLUME: 14 | NUMBER: 5 | 2016 | DECEMBER
+An Investigation of a New Social Networks
+Contact Suggestion Based on Face Recognition
+Algorithm
+Ivan ZELINKA1,2, Petr SALOUN 2, Jakub STONAWSKI 2, Adam ONDREJKA2
+Modeling Evolutionary Algorithms Simulation and Artificial Intelligence, Faculty of Electrical & Electronics
+Engineering, Ton Duc Thang University, 19 Nguyen Huu Tho Street, Ho Chi Minh City, Vietman
+Department of Computer Science, Faculty of Electrical Engineering and Computer Science,
+VSB–Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech Republic
+DOI: 10.15598/aeee.v14i5.1116"

+2f88d3189723669f957d83ad542ac5c2341c37a5,Attribute-correlated local regions for deep relative attributes learning,"Downloaded From: https://www.spiedigitallibrary.org/journals/Journal-of-Electronic-Imaging on 9/13/2018
+Terms of Use: https://www.spiedigitallibrary.org/terms-of-use
+Attribute-correlatedlocalregionsfordeeprelativeattributeslearningFenZhangXiangweiKongZeJiaFenZhang,XiangweiKong,ZeJia,“Attribute-correlatedlocalregionsfordeeprelativeattributeslearning,”J.Electron.Imaging27(4),043021(2018),doi:10.1117/1.JEI.27.4.043021."

+2fda164863a06a92d3a910b96eef927269aeb730,Names and faces in the news,"Names and Faces in the News
+Tamara L. Berg, Alexander C. Berg, Jaety Edwards, Michael Maire,
+Ryan White, Yee-Whye Teh, Erik Learned-Miller and D.A. Forsyth
+Computer Science Division
+U.C. Berkeley
+Berkeley, CA 94720"

+2f8ef26bfecaaa102a55b752860dbb92f1a11dc6,A Graph Based Approach to Speaker Retrieval in Talk Show Videos with Transcript-Based Supervision,"A Graph Based Approach to Speaker Retrieval in Talk
+Show Videos with Transcript-Based Supervision
+Yina Han  1, Guizhong Liu, Hichem Sahbi, Gérard Chollet"

+2fd9ecb40df6c7cd4f27c047223a1e45aae1bb95,Feature-based affine-invariant localization of faces,"Feature-based affine-invariant localization of
+faces
+M. Hamouz, J. Kittler, J.-K. Kamarainen, P. Paalanen, H. K¨alvi¨ainen, J. Matas"

+2fdb3576715829aa9bbaf74825236bbb71d06f1a,Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification,"Where-and-When to Look: Deep Siamese Attention
+Networks for Video-based Person Re-identification
+Lin Wu, Yang Wang, Junbin Gao, Xue Li"

+2f3f4e0c8a9c63e714a10a6711c67f5e84e4c7c1,IoT Based Embedded Smart Lock Control System,"ISSN XXXX XXXX © 2016 IJESC
+Research Article                                                                                                             Volume 6 Issue No. 11
+IoT Based Embedded Smart Lock Control System
+Rohith R1, J. Nageswara Reddy2, K. Ravi Kiran3
+M.Tech, Embedded Systems, CM RCET, Hyderabad, India 1
+Assistant Professor, Depart ment of ECE, CM RCET, Hyderabad, India2
+Assistant Professor, Depart ment, of ECE, CM RCET, Hyderabad, India3
+INTRODUCTION
+Abstrac t:
+Smart ho me security and re mote monitoring have become vita l and indispensable in recent times, and with the advent of new con cepts
+like  Internet of Things and development of advanced authentication and security technologies, the need for smarter security s ystems
+has  only  been  growing.  The  design  and  development  of  an  intelligent  web -based  door  lock  control  system  using  face  recognition
+technology, for authentication, re mote  monitoring of visitors and re mote control of s mart door loc k has been reported in th is paper.
+This system uses Haar-like  features for face detection and Local Binary Pattern Histogram (LBPH) fo r face recognition. The  system
+lso includes a web-based remote monitoring, an authentication module, and a bare-bones embedded IoT server, which transmits the
+live pictures of the visitors via email a long with an SMS notification,  and the owner can then remotely control the lock by responding
+to  the  email  with  predefined  security  codes  to  unlock  the door.  This  system  finds  a wide application  in  sma rt  homes  where  the
+physical presence of the owner at all times is not possible, and where a remote authentication and control  is desired. The system has
+een  imple mented  and  tested  using  the  Raspberry  Pi  2  board,  Python  along  with  OpenCV  are   used  to  program  the  various  face
+recognition and control modules."

+2f000034f040f6a23c756671477f5f573514af8a,Learning Transferable Distance Functions for Human Action Recognition and Detection,"-)41/ 64)5.-4)*- ,156)+- .7+615
+.4 07) )+61 4-+/161 ),
+,-6-+61
+9AEC ;=C
+*-C 5KJDA=IJ 7ELAHIEJO +DE=  %
+= 6DAIEI E F=HJE= BKBEAJ
+B JDA HAGKEHAAJI BH JDA B
+=IJAH B 5?EA?A
+E JDA 5?D
++FKJEC 5?EA?A
+? 9AEC ;=C
+51 .4)5-4 718-4516;
+5FHEC
+) HECDJI 0MALAH E MEJD JDA
++FOHECDJ )?J B JDEI MH =O >A MEJDKJ
+=KJDHE=JE JDA BH .=EH ,A=EC 6DAHABHA
+B JDEI MH BH JDA FKHFIAI B FHEL=JA
+HAIA=H?D ?HEJE?EI HALEAM AMI HAFHJEC EI EAO J
+>A E MEJD JDA =M F=HJE?K=HO EB =FFHFHE=JAO"

+2fdc469096f72533726964260c80b4c14ae62fab,A Kernel Maximum uncertainty Discriminant Analysis and its Application to Face Recognition,"A KERNEL MAXIMUM UNCERTAINTY DISCRIMINANT
+ANALYSIS AND ITS APPLICATION TO FACE RECOGNITION
+Department of Electrical Engineering, Centro Universitario da FEI, FEI, Sao Paulo, Brazil
+Carlos Eduardo Thomaz
+Gilson Antonio Giraldi
+Department of Computer Science, National Laboratory for Scientific Computing, LNCC, Rio de Janeiro, Brazil
+Keywords:"

+2fce767ad830e0203d62ce30bbe75213b959d19c,Histogram of Log-Gabor Magnitude Patterns for face recognition,"014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP)
+978-1-4799-2893-4/14/$31.00 ©2014 IEEE
+School of Information and Communication Engineering,
+{yijun,
+Jun Yi†, Fei Su†‡
+. INTRODUCTION"

+2f17f6c460e02bd105dcbf14c9b73f34c5fb59bd,Robust Face Recognition Using the Deep C2D-CNN Model Based on Decision-Level Fusion,"Article
+Robust Face Recognition Using the Deep C2D-CNN
+Model Based on Decision-Level Fusion
+Jing Li 1,2,†, Tao Qiu 3,†, Chang Wen 3,*, Kai Xie 1,2 and Fang-Qing Wen 1,2
+School of Electronic and Information, Yangtze University, Jingzhou 434023, China;
+(J.L.); (K.X.); (F-Q.W.)
+National Demonstration Center for Experimental Electrical and Electronic Education, Yangtze University,
+Jingzhou 434023, China
+School of Computer Science, Yangtze University, Jingzhou 434023, China;
+* Correspondence: Tel.: +86-136-9731-5482
+These authors contributed equally to this work.
+Received: 20 May 2018; Accepted: 25 June 2018; Published: 28 June 2018"

+2f184c6e2c31d23ef083c881de36b9b9b6997ce9,Polichotomies on Imbalanced Domains by One-per-Class Compensated Reconstruction Rule,"Polichotomies on Imbalanced Domains
+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"

+2fa1629d75a03b950c56bf9b3430b2983abd7881,Learning geometrical transforms between multi camera views using Canonical Correlation Analysis,"CONRAD, MESTER: LEARNING GEOMETRICAL TRANSFORMS USING CCA
+Learning geometrical transforms between
+multi camera views using Canonical
+Correlation Analysis
+Christian Conrad
+Rudolf Mester
+Visual Sensorics and Information
+Processing Lab, Goethe University
+Frankfurt am Main, Germany
+Computer Vision Laboratory
+Electr. Eng. Dept. (ISY)
+Linköping University, Sweden"

+2f529605ed776d4fbeac2d73054247b495504ac7,Person Re-identification for Real-world Surveillance Systems,"Person Re-identification for Real-world
+Surveillance Systems
+Furqan M. Khan and Fran¸cois Br´emond
+INRIA Sophia Antipolis - M´editerran´ee
+004 Route des Lucioles, Sophia Antipolis
+{furqan.khan |"

+2f3125bf303bca19d9cdc9ffe1de2aacf7a23023,In-Bed Pose Estimation: Deep Learning with Shallow Dataset,"JOURNAL OF , VOL. , NO. , MONTH YEAR
+In-Bed Pose Estimation:
+Deep Learning with Shallow Dataset
+Shuangjun Liu, Yu Yin, and Sarah Ostadabbas"

+2f48f1cb1cfef964fa70d7868b87d81455e7be2e,A new image centrality descriptor for wrinkle frame detection in WCE videos,"MVA2013 IAPR International Conference on Machine Vision Applications, May 20-23, 2013, Kyoto, JAPAN
+A new image centrality descriptor for wrinkle frame detection in
+WCE videos.
+Santi Segu´ı1,2, Ekaterina Zaytseva1,2, Michal Drozdzal1,2, Carolina Malagelada3,
+Fernando Azpiroz3, Petia Radeva1,2 and Jordi Vitri`a1,2
+Computer Vision Center (CVC), Universitat Aut`onoma de Barcelona, Barcelona, Spain
+Dept. Matem`atica Aplicada i An`alisis, Universitat de Barcelona, Barcelona, Spain
+Digestive System Research Unit, Hospital Vall dHebron, Barcelona, Spain"

+2fc15f80080b4317cad60ad645300b49afddb19e,Low cognitive load strengthens distractor interference while high load attenuates when cognitive load and distractor possess similar visual characteristics.,"Atten Percept Psychophys
+DOI 10.3758/s13414-015-0866-9
+Low cognitive load strengthens distractor interference while high
+load attenuates when cognitive load and distractor possess similar
+visual characteristics
+Takehiro Minamoto & Zach Shipstead & Naoyuki Osaka &
+Randall W. Engle
+# The Psychonomic Society, Inc. 2015"

+2fc2250d843326f3eefab1941e5a6e54eef239b3,Appearance Based Facial Recognition System Using Dhmm with Linear Discriminant Analysis,"Daffodil International University
+Institutional Repository
+DIU Journal of Science and Technology
+Volume 10, Issue 1-2, July 2015
+016-06-18
+Appearance Based Facial Recognition
+System Using Dhmm with Linear
+Discriminant Analysis
+Islam, Md. Rabiul
+http://hdl.handle.net/20.500.11948/1487
+Downloaded from  http://dspace.library.daffodilvarsity.edu.bd, Copyright Daffodil International University Library"

+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"

+2fa241edb56734539c3b3487eda159e0b3e0f31c,Kinematic Pose Rectification for Performance Analysis and Retrieval in Sports,"Kinematic Pose Rectification for Performance Analysis and Retrieval in Sports
+Dan Zecha, Moritz Einfalt, Christian Eggert and Rainer Lienhart
+Multimedia Computing and Computer Vision Lab
+University of Augsburg"

+2f77c0908716b0febfda19ff6a0e2970c23af440,A face recognition system dealing with expression variant faces,"A face recognition system dealing with expression variant faces
+Stefano Arca∗, Paola Campadelli, Raffaella Lanzarotti, Giuseppe Lipori
+Dipartimento di Scienze dell’Informazione
+Universit`a degli Studi di Milano
+Via Comelico, 39/41 20135 Milano, Italy"

+2f02328dc09396e37e159141c5e21bef3e6ff06e,Combining face detection and people tracking in video sequences,"Author manuscript, published in ""The 3rd International Conference on Imaging for Crime Detection and Prevention - ICDP09,
+Kingston Upon Thames (London) : Royaume-Uni (2009)"""

+2f3a67394deb32f265bcff9daf2c829d4be36336,Improving Visual Relationship Detection Using Semantic Modeling of Scene Descriptions,"Improving Visual Relationship Detection using
+Semantic Modeling of Scene Descriptions
+Stephan Baier1, Yunpu Ma1,2, and Volker Tresp1,2
+Ludwig Maximilian University, 80538 Munich, Germany
+Siemens AG, Corporate Technology, Munich, Germany"

+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
+Universit`a di Palermo - Dipartimento di Ingegneria Informatica
+Viale delle Scienze, 90128, Palermo, Italy"

+2f882ceaaf110046e63123b495212d7d4e99f33d,High Frequency Component Compensation based Super-Resolution Algorithm for Face Video Enhancement,"High Frequency Component Compensation based Super-resolution
+Algorithm for Face Video Enhancement
+Junwen Wu, Mohan Trivedi, Bhaskar Rao
+CVRR Lab, UC San Diego, La Jolla, CA 92093, USA"

+2f349ec19443523bc6c1e4b15fb677b1c188e253,Finding Time Series Motifs in Disk-Resident Data,"Finding Time Series Motifs in Disk-Resident Data
+Abdullah Mueen, Eamonn Keogh
+Nima Bigdely-Shamlo
+Department of Computer Science and Engineering
+University of California, Riverside, USA
+{mueen,"

+2f95340b01cfa48b867f336185e89acfedfa4d92,Face expression recognition with a 2-channel Convolutional Neural Network,"Face Expression Recognition with a 2-Channel
+Convolutional Neural Network
+Dennis Hamester, Pablo Barros, Stefan Wermter
+University of Hamburg — Department of Informatics
+Vogt-K¨olln-Straße 30, 22527 Hamburg, Germany
+http://www.informatik.uni-hamburg.de/WTM/"

+2fa3ad0329386bf9f55eb2c011e031ca71a11299,Weakly-supervised Semantic Parsing with Abstract Examples,

+2fa4f66a7c3846a189ea1f962592d7c20d9683b1,Object Detection with YOLO on Artwork Dataset,"Object Detection with YOLO on Artwork Dataset
+Yihui He∗
+Computer Science Department, Xi’an Jiaotong University"

+2faa09413162b0a7629db93fbb27eda5aeac54ca,Quantifying how lighting and focus affect face recognition performance,"NISTIR 7674
+Quantifying How Lighting and Focus
+Affect Face Recognition Performance
+Phillips, P. J.
+Beveridge, J. R.
+Draper, B.
+Bolme, D.
+Givens, G. H.
+Lui, Y. M."

+433bb1eaa3751519c2e5f17f47f8532322abbe6d,Face Recognition,

+434ad689f9f8bc034fa8489f80f851686b8b449e,Regularized Multi-Concept MIL for weakly-supervised facial behavior categorization,"A.RUIZ, X.BINEFA, J.VAN DE WEIJER: RMC-MIL FACIAL BEHAVIOR CATEGORIZATION 1
+Regularized Multi-Concept MIL for
+weakly-supervised facial behavior
+ategorization
+Adria Ruiz1
+Joost Van de Weijer2
+Xavier Binefa1
+Universitat Pompeu Fabra (DTIC)
+Barcelona, Spain
+Centre de Visió per Computador
+Barcelona, Spain"

+43bf6489abd63992b82f2008b4417a1638955f0c,Principal Angles Separate Subject Illumination Spaces in YDB and CMU-PIE,"Short Papers___________________________________________________________________________________________________
+Principal Angles Separate Subject
+Illumination Spaces in YDB and CMU-PIE
+J. Ross Beveridge, Member, IEEE,
+Bruce A. Draper, Member, IEEE,
+Jen-Mei Chang, Michael Kirby,
+Holger Kley, and
+Chris Peterson"

+43bb20ccfda7b111850743a80a5929792cb031f0,Discrimination of Computer Generated versus Natural Human Faces,"PhD Dissertation
+International Doctorate School in Information and
+Communication Technologies
+DISI - University of Trento
+Discrimination of Computer Generated
+versus Natural Human Faces
+Duc-Tien Dang-Nguyen
+Advisor:
+Prof. Giulia Boato
+Universit`a degli Studi di Trento
+Co-Advisor:
+Prof. Francesco G. B. De Natale
+Universit`a degli Studi di Trento
+February 2014"

+439ac8edfa1e7cbc65474cab544a5b8c4c65d5db,Face authentication with undercontrolled pose and illumination,"SIViP (2011) 5:401–413
+DOI 10.1007/s11760-011-0244-6
+ORIGINAL PAPER
+Face authentication with undercontrolled pose and illumination
+Maria De Marsico · Michele Nappi · Daniel Riccio
+Received: 15 September 2010 / Revised: 14 December 2010 / Accepted: 17 February 2011 / Published online: 7 August 2011
+© Springer-Verlag London Limited 2011"

+432be99dde7d93001044048501c72c70e4ea2927,People and Mobile Robot Classification Through Spatio-Temporal Analysis of Optical Flow,"June 3, 2015
+3:29 WSPC/INSTRUCTION FILE
+People and mobile robot classification through spatio-temporal analysis
+of optical flow
+Plinio Moreno and Dario Figueira and Alexandre Bernardino and Jos´e Santos-Victor
+Institute for Systems and Robotics (ISR/IST)
+LARSyS, Instituto Superior T´ecnico
+Universidade de Lisboa
+{plinio, dfigueira, alex,
+Lisboa, Portugal
+The goal of this work is to distinguish between humans and robots in a mixed human-
+robot environment. We analyze the spatio-temporal patterns of optical flow-based fea-
+tures along several frames. We consider the Histogram of Optical Flow (HOF) and the
+Motion Boundary Histogram (MBH) features, which have shown good results on people
+detection. The spatio-temporal patterns are composed by groups of feature components
+that have similar values on previous frames. The groups of features are fed into the
+FuzzyBoost algorithm, which at each round selects the spatio-temporal pattern (i.e.
+feature set) having the lowest classification error. The search for patterns is guided by
+grouping feature dimensions, considering three algorithms: (a) similarity of weights from
+dimensionality reduction matrices, (b) Boost Feature Subset Selection (BFSS) and (c)"

+43f6953804964037ff91a4f45d5b5d2f8edfe4d5,Multi-feature fusion in advanced robotics applications,"Multi-Feature Fusion in Advanced Robotics Applications
+Zahid Riaz, Christoph Mayer, Michael Beetz,
+Bernd Radig
+Institut für Informatik
+Technische Universität München
+D-85748 Garching, Germany"

+430482d92007a3eec7009a2603aa5c1f2e63f661,Synaesthesia: mechanisms and broader traits,"Synaesthesia: mechanisms and broader traits.
+Agnieszka Barbara Janik
+Department of Psychology
+Goldsmiths University of London
+PhD in Psychology
+I, Agnieszka Barbara Janik, confirm that the work presented in this thesis is my own.
+Where information has been derived from other sources, I confirm that this has been
+indicated in the thesis."

+43a2c871450ba4d8888e8692aa98cb10e861ea71,Learning Generative ConvNet with Continuous Latent Factors by Alternating Back-Propagation,"Alternating Back-Propagation for Generator Network
+Tian Han †, Yang Lu †, Song-Chun Zhu, Ying Nian Wu
+Department of Statistics, University of California, Los Angeles, USA"

+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"

+43de246e9cc197623e27ab41a69530a8d121c77e,Developmental disruption of amygdala transcriptome and socioemotional behavior in rats exposed to valproic acid prenatally,"Barrett et al. Molecular Autism  (2017) 8:42
+DOI 10.1186/s13229-017-0160-x
+R ES EAR CH
+Developmental disruption of amygdala
+transcriptome and socioemotional behavior
+in rats exposed to valproic acid prenatally
+Catherine E. Barrett 1,2*, Thomas M. Hennessey1,2, Katelyn M. Gordon1,2, Steve J. Ryan1,2, Morgan L. McNair1,2,
+Kerry J. Ressler3 and Donald G. Rainnie1,2
+Open Access"

+43c76cf17767a43a345cd1a8d7c08d18578b53ec,Boosting Color Feature Selection for Color Face Recognition,"Accepted Manuscript for Publication in IEEE Transaction on Image Processing
+Boosting Color Feature Selection for Color Face Recognition
+Jae Young Choi, Student Member, IEEE, Yong Man Ro, Senior Member, IEEE, and
+Konstantinos N. Plataniotis, Senior Member, IEEE"

+43fbe350681185ec9a18991dbcb19d694ce4f245,The Perspective Face Shape Ambiguity,"The Perspective Face Shape Ambiguity
+William A. P. Smith"

+432326edbc598774315a0def91d1fc224d732922,Classification of Diseased Arecanut based on Texture Features,"International Journal of Computer Applications (0975 – 8887)
+Recent Advances in Information Technology, 2014
+Classification of Diseased Arecanut based on Texture
+Suresha M
+Department of Computer
+Science
+Kuvempu University
+Karnataka, India
+Features
+Ajit Danti
+Department of MCA
+JNN College of Engineering
+Karnataka, India
+S. K Narasimhamurthy
+Department of Mathematics
+Kuvempu University
+Karnataka, India"

+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
+Peter Burkert∗‡, Felix Trier∗‡, Muhammad Zeshan Afzal†‡,
+Andreas Dengel†‡ and Marcus Liwicki‡
+German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany
+University of Kaiserslautern, Gottlieb-Daimler-Str., Kaiserslautern 67663, Germany"

+43836d69f00275ba2f3d135f0ca9cf88d1209a87,Effective hyperparameter optimization using Nelder-Mead method in deep learning,"Ozaki et al. IPSJ Transactions on Computer Vision and
+Applications  (2017) 9:20
+DOI 10.1186/s41074-017-0030-7
+IPSJ Transactions on Computer
+Vision and Applications
+RESEARCH PAPER
+Open Access
+Effective hyperparameter optimization
+using Nelder-Mead method in deep learning
+Yoshihiko Ozaki1,2, Masaki Yano1,2 and Masaki Onishi1,2*"

+43e11904ca961006be79f650025b5d8fbac9913f,Unsupervised Deep Video Hashing with Balanced Rotation,"Unsupervised Deep Video Hashing with Balanced Rotation
+IJCAI Anonymous Submission 2367"

+4362368dae29cc66a47114d5ffeaf0534bf0159c,"Performance Analysis of FDA Based Face Recognition Using Correlation, ANN and SVM","UACEE International Journal of Artificial Intelligence and Neural Networks ISSN:- 2250-3749 (online)
+Performance Analysis of FDA Based Face
+Recognition Using Correlation, ANN and SVM
+Mahesh Goyani
+Akash Dhorajiya
+Ronak Paun
+Department of Computer Engineering
+Department of Computer Engineering
+Department of Computer Engineering
+GCET, Sardar Patel University
+GCET, Sardar Patel University
+GCET, Sardar Patel University
+Anand, INDIA
+Anand, INDIA
+Anand, INDIA
+e- mail :
+e- mail :
+e- mail :"

+4350bb360797a4ade4faf616ed2ac8e27315968e,Edge Suppression by Gradient Field Transformation Using Cross-Projection Tensors,"MITSUBISHI ELECTRIC RESEARCH LABORATORIES
+http://www.merl.com
+Edge Suppression by Gradient Field
+Transformation using Cross-Projection
+Tensors
+Amit Agrawal, Ramesh Raskar, Rama Chellappa
+TR2006-058
+June 2006"

+43c1bf9bd7b18c9603324c328f0f2696278c5327,Tracking Multiple Players using a Single Camera,"Noname manuscript No.
+(will be inserted by the editor)
+Tracking Multiple Players using a Single Camera
+Horesh BenShitrit · Mirko Raca · Fran¸cois
+Fleuret · Pascal Fua
+Received: date / Accepted: date"

+439da29cf857151f386e6af488b2d60c098c4fd8,Person Authentication Using Color Face Recognition,"Kiran Davakhar et al. Int. Journal of Engineering Research and Applications               www.ijera.com
+Vol. 3, Issue 5, Sep-Oct 2013, pp.178-182
+RESEARCH ARTICLE                                                                               OPEN ACCESS
+Person Authentication Using Color Face Recognition
+Kiran Davakhar1, S. B. Mule2, Achala Deshmukh3
+(Department of E&TC, Sinhgad COE, Vadgaon, Pune, Pune University, India)
+(Department of E&TC, Sinhgad COE, Vadgaon, Pune, Pune University, India)
+(Department of E&TC, Sinhgad COE, Vadgaon, Pune, Pune University, India)"

+43476cbf2a109f8381b398e7a1ddd794b29a9a16,A Practical Transfer Learning Algorithm for Face Verification,"A Practical Transfer Learning Algorithm for Face Verification
+Xudong Cao
+David Wipf
+Fang Wen
+Genquan Duan
+Jian Sun"

+4353d0dcaf450743e9eddd2aeedee4d01a1be78b,Learning Discriminative LBP-Histogram Bins for Facial Expression Recognition,"Learning Discriminative LBP-Histogram Bins
+for Facial Expression Recognition
+Caifeng Shan and Tommaso Gritti
+Philips Research, High Tech Campus 36, Eindhoven 5656 AE, The Netherlands
+{caifeng.shan,"

+4335d53e763b2caf20f06928cd420ae09e5041ad,Discrete-continuous optimization for multi-target tracking,"Discrete-Continuous Optimization for Multi-Target Tracking
+Anton Andriyenko1
+Konrad Schindler2
+Stefan Roth1
+Department of Computer Science, TU Darmstadt
+Photogrammetry and Remote Sensing Group, ETH Z¨urich"

+43d073d3fdc22f0d74793fdac47ff56b66c95990,Online Localization and Prediction of Actions and Interactions,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
+Online Localization and Prediction of
+Actions and Interactions
+Khurram Soomro, Member, IEEE, Haroon Idrees, Member, IEEE, and Mubarak Shah, Fellow, IEEE"

+43d4927f5113c5e376ab05d41e33063a6d06d727,Pedestrian Detection: Exploring Virtual Worlds,"Pedestrian Detection: Exploring Virtual Worlds
+Javier Mar´ın
+Computer Vision Center,
+Universitat Aut`onoma de Barcelona, Spain
+David Ger´onimo, David V´azquez, Antonio M. L´opez
+Computer Vision Center and Computer Science Department,
+Universitat Aut`onoma de Barcelona, Spain
+Introduction
+The objective of advanced driver assistance systems (ADAS) is to improve traffic safety by assisting the driver
+through warnings and by even automatically taking active countermeasures. Two examples of successfully com-
+mercialised ADAS are lane departure warnings and adaptive cruise control, which make use of either active
+(e.g., radar) or passive (e.g., cameras) sensors to keep the vehicle on the lane and maintain a safe distance from
+the preceding vehicle, respectively. One of the most complex safety systems are pedestrian protection systems
+(PPSs) (Bishop, 2005; Gandhi & Trivedi, 2007; Enzweiler & Gavrila, 2009; Ger´onimo et al., 2010), which are
+specialised in avoiding vehicle-to-pedestrian collisions. In fact, this kind of accidents results in approximately
+50000 injuries and 7000 killed pedestrians every year just in the European Union (UN-ECE, 2007). Similar
+statistics apply to the United States, while underdeveloped countries are increasing theirs year after year. In the
+ase of PPSs, the most promising approaches make use of images as main source of information, as can be seen
+in the large amount of proposals exploiting them (Ger´onimo et al., 2010). Hence, the core of a PPS is a forward
+facing camera that acquires images and processes them using Computer Vision techniques. In fact, the Computer"

+434627a03d4433b0df03058724524c3ac1c07478,Online Multi-Target Tracking With Unified Handling of Complex Scenarios,"IEEE TRANSANCTIONS ON IMAGE PROCESSING, VOL. XX, NO. XX, NOVEMBER 2014
+Online Multi-Target Tracking
+with Unified Handling of Complex Scenarios
+Huaizu Jiang, Jinjun Wang, Yihong Gong, Senior Member, IEEE
+Na Rong, Zhenhua Chai, and Nanning Zheng, Fellow, IEEE"

+431fc5903ab4853820eac6614073c5b7aec0ac31,Semantic-visual concept relatedness and co-occurrences for image retrieval,"978-1-4673-2533-2/12/$26.00 ©2012 IEEE
+ICIP 2012"

+434fe2cca3321c08ef30a0076864298cf608e0d5,Multiple Human Tracking in High-Density Crowds,"Multiple Human Tracking in High-Density Crowds
+Irshad Ali1, Matthew N. Dailey 2
+Computer Science and Information Management Program, Asian Institute of Technology
+(AIT), Pathumthani, Thailand"

+43cb50f669a0d492256d11c6cc4128ba0ce79a3e,Per-Pixel Feedback for improving Semantic Segmentation,"Indian Institute of Technology Roorkee
+Department of Mathematics
+Per-Pixel Feedback for improving Semantic
+Segmentation
+Aditya Ganeshan
+Submitted in part fulfilment of the requirements for the degree of
+Integrated Masters of Science in Applied Mathematics, May 2017"

+434a0aebf3522638d75614b0de1f0c2dcc1b19f1,Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers,"Visual Analytics in Deep Learning:
+An Interrogative Survey for the Next Frontiers
+Fred Hohman, Member, IEEE, Minsuk Kahng, Member, IEEE, Robert Pienta, Member, IEEE,
+nd Duen Horng Chau, Member, IEEE"

+43b8b5eeb4869372ef896ca2d1e6010552cdc4d4,Large-scale Supervised Hierarchical Feature Learning for Face Recognition,"Large-scale Supervised Hierarchical Feature Learning for Face Recognition
+Jianguo Li, Yurong Chen
+Intel Labs China"

+43ae4867d058453e9abce760ff0f9427789bab3a,Graph Embedded Nonparametric Mutual Information for Supervised Dimensionality Reduction,"Graph Embedded Nonparametric Mutual
+Information For Supervised
+Dimensionality Reduction
+Dimitrios Bouzas, Nikolaos Arvanitopoulos, Student Member, IEEE, and Anastasios Tefas, Member, IEEE"

+438b88fe40a6f9b5dcf08e64e27b2719940995e0,Building a classification cascade for visual identification from one example,"Building a Classi(cid:2)cation Cascade for Visual Identi(cid:2)cation from One Example
+Andras Ferencz
+Erik G. Learned-Miller
+Computer Science, U.C. Berkeley
+Computer Science, UMass Amherst
+Jitendra Malik
+Computer Science, U.C. Berkeley"

+43e3cd896d4dada4114a8961b98ae9f6d6ff9401,Image2speech: Automatically generating audio descriptions of images,"Image2speech: Automatically generating audio descriptions of images
+Mark Hasegawa-Johnson1, Alan Black2, Lucas Ondel3, Odette Scharenborg4, Francesco Ciannella2
+. University of Illinois, Urbana, IL USA 2. Carnegie-Mellon University, Pittsburgh, PA USA
+. Brno University of Technology, Brno, Czech Republic
+. Centre for Language Studies, Radboud University, Nijmegen, Netherlands"

+43fb9efa79178cb6f481387b7c6e9b0ca3761da8,Mixture of parts revisited: Expressive part interactions for Pose Estimation,"Mixture of Parts Revisited: Expressive Part Interactions for Pose Estimation
+Anoop R Katti
+IIT Madras
+Chennai, India
+Anurag Mittal
+IIT Madras
+Chennai, India"

+4332314ac4ab56153f68a9e55e92b3659e93a5b4,Learning Collective Crowd Behaviors with Dynamic Pedestrian-Agents,"Int J Comput Vis
+DOI 10.1007/s11263-014-0735-3
+Learning Collective Crowd Behaviors with Dynamic
+Pedestrian-Agents
+Bolei Zhou · Xiaoou Tang · Xiaogang Wang
+Received: 9 September 2013 / Accepted: 24 May 2014
+© Springer Science+Business Media New York 2014"

+43ed518e466ff13118385f4e5d039ae4d1c000fb,Classification of Occluded Objects Using Fast Recurrent Processing,"Classification of Occluded Objects using Fast Recurrent
+Processing
+Ozgur Yilmaza,∗
+Turgut Ozal University, Department of Computer Engineering, Ankara Turkey"

+43d7d0d0d0e2d6cf5355e60c4fe5b715f0a1101a,Playlist Generation using Facial Expression Analysis and Task Extraction,"Pobrane z czasopisma Annales AI- Informatica http://ai.annales.umcs.pl
+Data: 04/05/2018 16:53:32
+U M CS"

+88e3aefe454e72388bbbe7dfa0b74fcfc52032f0,Weighted Gradient Feature Extraction Based on Multiscale Sub-Blocks for 3D Facial Recognition in Bimodal Images,"Article
+Weighted Gradient Feature Extraction Based on
+Multiscale Sub-Blocks for 3D Facial Recognition in
+Bimodal Images
+Yingchun Guo *, Ruoyu Wei and Yi Liu *
+School of Computer Science and Engineering, Hebei University of Technology, Tianjin 300400, China;
+* Correspondence: (Y.G.); (Y.L.)
+Received: 6 January 2018; Accepted: 19 February 2018; Published: 28 February 2018"

+88c6d4b73bd36e7b5a72f3c61536c8c93f8d2320,Image patch modeling in a light field,"Image patch modeling in a light field
+Zeyu Li
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2014-81
+http://www.eecs.berkeley.edu/Pubs/TechRpts/2014/EECS-2014-81.html
+May 15, 2014"

+889bc64c7da8e2a85ae6af320ae10e05c4cd6ce7,Using Support Vector Machines to Enhance the Performance of Bayesian Face Recognition,"Using Support Vector Machines to Enhance the
+Performance of Bayesian Face Recognition
+Zhifeng Li, Member, IEEE, and Xiaoou Tang, Senior Member, IEEE"

+88dc2b2f6d033b290ed56b844c98c3ee6efde80b,Experimental manipulation of face-evoked activity in the  fusiform gyrus of individuals with autism.,"!""#$%&’(#)*+%,&$%-.,/*.&-+-%012%34&*+%5/#6+’$#(17
+8/2%9:%;+<(+=0+’%9>?>
+FB0*#$""+’%F$1)"".*.G1%F’+$$
+H/I.’=&%J(-%K+G#$(+’+-%#/%L/G*&/-%&/-%M&*+$%K+G#$(+’+-%NB=0+’2%?>D9COP%K+G#$(+’+-%.II#)+2%Q.’(#=+’%R.B$+S%EDT
+P?%Q.’(#=+’%;(’++(S%J./-./%M?!%EURS%5V
+;.)#&*%N+B’.$)#+/)+
+FB0*#)&(#./%-+(&#*$S%#/)*B-#/G%#/$(’B)(#./$%I.’%&B("".’$%&/-%$B0$)’#<(#./%#/I.’=&(#./2
+""((<2WW,,,X#/I.’=&,.’*-X).=W$=<<W(#(*+Y)./(+/(Z(DP?DD??PE
+L[<+’#=+/(&*%=&/#<B*&(#./%.I%I&)+T+6.\+-%&)(#6#(1%#/%(""+%IB$#I.’=%G1’B$%.I
+#/-#6#-B&*$%,#(""%&B(#$=
+‘#’$(%<B0*#$""+-%./2%>P%Q&1%9>?>
+N+B’.$)#+/)+SS%‘#’$(%<B0*#$""+-%./2%>P%Q&1%9>?>%a#‘#’$(b
+5KJ2%""((<2WW-[X-.#X.’GW?>X?>d>W?DPD>C??>>E:dE?dO
+PLEASE SCROLL DOWN FOR ARTICLE
+Full terms and conditions of use: http://www.informaworld.com/terms-and-conditions-of-access.pdf
+This article may be used for research, teaching and private study purposes. Any substantial or
+systematic reproduction, re-distribution, re-selling, loan or sub-licensing, systematic supply or
+distribution in any form to anyone is expressly forbidden.
+The publisher does not give any warranty express or implied or make any representation that the contents
+will be complete or accurate or up to date. The accuracy of any instructions, formulae and drug doses"

+88bbedf7f6f0dcc830640c521acece28e67be356,Robust sparse coding for face recognition,"Robust Sparse Coding for
+Face Recognition
+Meng Yang, Lei Zhang, Jian Yang, David Zhang
+Hong Kong Polytechnic Univ.
+Presenter : 江振國"

+88a898592b4c1dfd707f04f09ca58ec769a257de,MobileFace: 3D Face Reconstruction with Efficient CNN Regression,"MobileFace: 3D Face Reconstruction
+with Ef‌f‌icient CNN Regression
+Nikolai Chinaev1, Alexander Chigorin1, and Ivan Laptev1,2
+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"

+881066ec43bcf7476479a4146568414e419da804,From Traditional to Modern: Domain Adaptation for Action Classification in Short Social Video Clips,"From Traditional to Modern : Domain Adaptation for
+Action Classification in Short Social Video Clips
+Aditya Singh, Saurabh Saini, Rajvi Shah, and P J Narayanan
+Center for Visual Information Technology, IIIT Hyderabad, India"

+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"

+886dfe069bd0f6bbb0a885e0bf2788007bfb737c,3-D Facial Expression Representation using B-spline Statistical Shape Model,"-D Facial Expression Representation using
+B-spline Statistical Shape Model
+Wei Quan, Bogdan J. Matuszewski, Lik-Kwan Shark, Djamel Ait-Boudaoud
+Applied Digital Signal and Image Processing Research Centre
+University of Central Lancashire
+Preston PR1 2HE, UK"

+883006c0f76cf348a5f8339bfcb649a3e46e2690,Weakly supervised pain localization using multiple instance learning,"Weakly Supervised Pain Localization using Multiple Instance Learning
+Karan Sikka, Abhinav Dhall and Marian Bartlett"

+88f5f9d92c4fa696457a824c3eec204da05ba6a4,XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings,"XGAN: Unsupervised Image-to-Image
+Translation for Many-to-Many Mappings
+Am´elie Royer1[0000−0002−8407−0705], Konstantinos Bousmalis2,6, Stephan
+Gouws2, Fred Bertsch3, Inbar Mosseri4, Forrester Cole4, and Kevin Murphy5
+IST Austria, 3400 Klosterneuburg, Austria
+Work done while at Google Brain London, UK
+Google Brain, London, UK
+{konstantinos,
+Google Brain, Mountain View, USA
+Google Research, Cambridge, USA
+5 Google Research, Mountain View, USA
+6 Currently at Deepmind, London, UK"

+88850b73449973a34fefe491f8836293fc208580,XBeats-An Emotion Based Music Player,"www.ijaret.org                                                                                                                                                     Vol. 2, Issue I, Jan. 2014
+ISSN 2320-6802
+INTERNATIONAL JOURNAL FOR ADVANCE RESEARCH IN
+ENGINEERING AND TECHNOLOGY
+WINGS TO YOUR THOUGHTS…..
+XBeats-An Emotion Based Music Player
+Sayali Chavan1, Ekta Malkan2, Dipali Bhatt3, Prakash H. Paranjape4
+U.G. Student, Dept. of Computer Engineering,
+D.J. Sanghvi College of Engineering,
+Vile Parle (W), Mumbai-400056.
+U.G. Student, Dept. of Computer Engineering,
+D.J. Sanghvi College of Engineering,
+Vile Parle (W), Mumbai-400056.
+U.G. Student, Dept. of Computer Engineering,
+D.J. Sanghvi College of Engineering,
+Vile Parle (W), Mumbai-400056.
+Assistant Professor, Dept. of Computer Engineering,
+D.J. Sanghvi College of Engineering,
+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"

+88c5baffa5522ea62ff5d5c41036b92e30d7e3c9,Who is who at different cameras. People re-identification using Depth Cameras,"Document downloaded from:
+This paper must be cited as:
+The final publication is available at
+Copyright
+Additional Information
+http://dx.doi.org/10.1049/iet-cvi.2011.0140http://hdl.handle.net/10251/56627Institution of Engineering and Technology (IET)Albiol Colomer, AJ.; Albiol Colomer, A.; Oliver Moll, J.; Mossi García, JM. (2012). Who iswho at different cameras: people re-identification using depth cameras. IET ComputerVision. 6(5):378-387. doi:10.1049/iet-cvi.2011.0140."

+887cd2271ca5a58501786d49afa53139f48c66f3,"Visual orienting in children with autism: Hyper‐responsiveness to human eyes presented after a brief alerting audio‐signal, but hyporesponsiveness to eyes presented without sound","SHORT REPORT
+Visual Orienting in Children With Autism: Hyper-Responsiveness
+to Human Eyes Presented After a Brief Alerting Audio-Signal,
+ut Hyporesponsiveness to Eyes Presented Without Sound
+Johan Lundin Kleberg, Emilia Thorup, and Terje Falck-Ytter
+Autism Spectrum Disorder (ASD) has been associated with reduced orienting to social stimuli such as eyes, but the
+results are inconsistent. It is not known whether atypicalities in phasic alerting could play a role in putative altered
+social orienting in ASD. Here, we show that in unisensory (visual) trials, children with ASD are slower to orient to
+eyes (among distractors) than controls matched for age, sex, and nonverbal IQ. However, in another condition where
+brief spatially nonpredictive sound was presented just before the visual targets, this group effect was reversed. Our
+results indicate that orienting to social versus nonsocial stimuli is differently modulated by phasic alerting mecha-
+nisms in young children with ASD. Autism Res 2017, 10: 246–250. VC 2016 The Authors Autism Research published
+y Wiley Periodicals, Inc. on behalf of International Society for Autism Research.
+Keywords: Autism; social orienting; eye tracking; phasic alerting; arousal; face perception
+According to social orienting theories of Autism Spec-
+trum Disorder (ASD), people with this condition orient
+less or slower to socially salient stimuli than people
+with typical development (TD; Dawson et al., 2004).
+Further, it is assumed that reduced orienting early in
+life may have cascading effects on both brain develop-"

+887b7676a4efde616d13f38fcbfe322a791d1413,Deep Temporal Appearance-Geometry Network for Facial Expression Recognition,"Deep Temporal Appearance-Geometry Network
+for Facial Expression Recognition
+Injae Lee‡ Chunghyun Ahn‡
+Junmo Kim†
+Heechul Jung† Sihaeng Lee† Sunjeong Park†
+Korea Advanced Institute of Science and Technology†
+Electronics and Telecommunications Research Institute‡
+{heechul, haeng, sunny0414, {ninja,"

+88909ec19d2c6750f836e8b9c15ee3e1236b37e7,Local Learning with Deep and Handcrafted Features for Facial Expression Recognition,"Local Learning with Deep and Handcrafted Features
+for Facial Expression Recognition
+Mariana-Iuliana Georgescu1,2
+Radu Tudor Ionescu1,3
+Marius Popescu1,3
+University of Bucharest, 14 Academiei, Bucharest, Romania
+Novustech Services, 12B Aleea Ilioara, Bucharest, Romania
+SecurifAI, 21D Mircea Vod˘a, Bucharest, Romania
+georgescu"

+887b7d34ebac80bbe3fb3792ed579dd82ff7e373,Query-driven iterated neighborhood graph search for scalable visual indexing,"Query-driven iterated neighborhood graph search for scalable
+visual indexing∗
+Jingdong Wang† Xian-Sheng Hua‡ Shipeng Li†
+Microsoft Corporation
+Microsoft Research Asia
+August 10, 2012"

+8878871ec2763f912102eeaff4b5a2febfc22fbe,Human Action Recognition in Unconstrained Videos by Explicit Motion Modeling,"Human Action Recognition in Unconstrained
+Videos by Explicit Motion Modeling
+Yu-Gang Jiang, Qi Dai, Wei Liu, Xiangyang Xue, and Chong-Wah Ngo"

+8855d6161d7e5b35f6c59e15b94db9fa5bbf2912,COGNITION IN PREGNANCY AND THE POSTPARTUM PERIOD COGNITIVE REORGANIZATION AND PROTECTIVE MECHANISMS IN PREGNANCY AND THE POSTPARTUM PERIOD By,COGNITION IN PREGNANCY AND THE POSTPARTUM PERIOD

+88132a786442ab8a5038d81164384c1c1f7231c8,Limited attentional bias for faces in toddlers with autism spectrum disorders.,"ORIGINAL ARTICLE
+Limited Attentional Bias for Faces in Toddlers
+With Autism Spectrum Disorders
+Katarzyna Chawarska, PhD; Fred Volkmar, MD; Ami Klin, PhD
+Context: Toddlers with autism spectrum disorders (ASD)
+exhibit poor face recognition and atypical scanning pat-
+terns in response to faces. It is not clear if face-processing
+deficits are also expressed on an attentional level. Typical
+individuals require more effort to shift their attention from
+faces compared with other objects. This increased disen-
+gagement cost is thought to reflect deeper processing of these
+socially relevant stimuli.
+Objective: To examine if attention disengagement from
+faces is atypical in the early stages of ASD.
+Design: Attention disengagement was tested in a varia-
+tion of the cued attention task in which participants were
+required to move their visual attention from face or non-
+face central fixation stimuli and make a reactive saccade
+to a peripheral target. The design involved diagnosis as
+between-group factor and central fixation stimuli type"

+88590857138505ee524f3adf6da9c57352d917f2,Random Subspace Two-Dimensional PCA for Face Recognition,"Random Subspace Two-Dimensional PCA for
+Face Recognition
+Nam Nguyen, Wanquan Liu and Svetha Venkatesh
+Department of Computing, Curtin University of Technology, WA 6845, Australia"

+8855755a72c148dfde84bb08ae65d58c260e70d4,Robust image classification: analysis and applications,"POUR L'OBTENTION DU GRADE DE DOCTEUR ÈS SCIENCESacceptée sur proposition du jury:Prof. P. Vandergheynst, président du juryProf. P. Frossard, directeur de thèseProf. J. Bruna, rapporteurProf. N. Paragios, rapporteurDr F. Fleuret, rapporteurRobust image classification: analysis and applicationsTHÈSE NO 7258 (2016)ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNEPRÉSENTÉE LE 16 DÉCEMBRE 2016 À LA FACULTÉ DES SCIENCES ET TECHNIQUES DE L'INGÉNIEURLABORATOIRE DE TRAITEMENT DES SIGNAUX 4PROGRAMME DOCTORAL EN GÉNIE ÉLECTRIQUE Suisse2016PARAlhussein FAWZI"

+88bee9733e96958444dc9e6bef191baba4fa6efa,Extending Face Identification to Open-Set Face Recognition,"Extending Face Identification to
+Open-Set Face Recognition
+Cassio E. dos Santos Jr., William Robson Schwartz
+Department of Computer Science
+Universidade Federal de Minas Gerais
+Belo Horizonte, Brazil"

+8818dafda0cf230731ac2f962d8591c89a9fac09,xGEMs: Generating Examplars to Explain Black-Box Models,"xGEMs: Generating Examplars to Explain Black-Box
+Models
+Shalmali Joshi
+UT Austin
+Oluwasanmi Koyejo
+Been Kim
+Google Brain
+Joydeep Ghosh
+UT Austin"

+88fd4d1d0f4014f2b2e343c83d8c7e46d198cc79,Joint action recognition and summarization by sub-modular inference,"978-1-4799-9988-0/16/$31.00 ©2016 IEEE
+ICASSP 2016"

+9f22e0749405dfc3e3211474b933aa7514722e4b,Theory of mind - not emotion recognition - mediates the relationship between executive functions and social functioning in patients with schizophrenia.,"© Medicinska naklada - Zagreb, Croatia
+Original paper
+THEORY OF MIND - NOT EMOTION RECOGNITION -
+MEDIATES THE RELATIONSHIP BETWEEN EXECUTIVE
+FUNCTIONS AND SOCIAL FUNCTIONING IN PATIENTS
+WITH SCHIZOPHRENIA
+Michal Hajdúk1,2, Dana Kraj(cid:254)ovi(cid:254)ová2, Miroslava Zimányiová2, Viera Ko(cid:284)ínková2,
+Anton Heretik1 & Ján Pe(cid:254)e(cid:278)ák2
+Department of Psychology, Faculty of Arts, Comenius University, Bratislava, Slovak Republic
+Clinic of Psychiatry, Faculty of Medicine, Comenius University, Bratislava, Slovak Republic
+received: 9.8.2017;
+revised: 15.3.2018;
+ccepted: 17.7.2018
+SUMMARY
+Background:  Dysfunction  of  social-cognitive  abilities  is  one  of  the  hallmark  features  of  schizophrenia  and  is  associated  with
+neurocognition and social functioning. The Green and Nuechterlein model proposed that social cognition mediates the relationship
+etween neurocognition and functional outcome. We tested this hypothesis in schizophrenia patients in the everyday clinical setting.
+Subjects and methods: Social cognition, executive function and social functioning were assessed in a group of 43 patients with
+schizophrenia or schizoaffective disorder using a range of measures.
+Results:  Theory  of  mind  was  associated  with  executive  functions  and  social  functioning.  Results  of  our  mediation  analysis"

+9f889c81bdb1d791e22c5f455baf32829b5b788b,The GRODE metrics: Exploring the performance of group detection approaches,"Exploring the Performance of Group Detection Approaches
+The GRODE Metrics:
+Francesco Setti
+ISTC - CNR
+via alla Cascata 56/C, I-38121 Trento"

+9fd5ecc538a9344814dc00b92beb45c54d5dff3e,NIC: A Robust Background Extraction Algorithm for Foreground Detection in Dynamic Scenes,"NIC: A Robust Background Extraction Algorithm
+for Foreground Detection in Dynamic Scenes
+Thien Huynh-The, Student Member, IEEE, Oresti Banos, Member, IEEE, Sungyoung Lee, Member, IEEE,
+Byeong Ho Kang, Eun-Soo Kim, and Thuong Le-Tien, Member, IEEE"

+9f1319162974cb4d6125e8c6c52878ebc48eb8a7,Loss factors for learning Boosting ensembles from imbalanced data,"Loss Factors for Learning Boosting Ensembles
+from Imbalanced Data
+Roghayeh Soleymani∗, Eric Granger∗, Giorgio Fumera†
+Laboratoire d’imagerie, de vision et d’intelligence artificielle, École de technologie supérieure,
+Université du Québec, Montreal, Canada,
+Dept. of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy,
+Email:
+Email:"

+9fede7e3fac47a4206a643c4647834e5680f2a8f,Results from a Real-time Stereo-based Pedestrian Detection System on a Moving Vehicle,"Results from a Real-time Stereo-based Pedestrian Detection System on
+Moving Vehicle
+Max Bajracharya, Baback Moghaddam, Andrew Howard, Shane Brennan, Larry H. Matthies"

+9f91fd3e9621b88769ecc330f362a591876f948f,Bicycle Detection Based On Multi-feature and Multi-frame Fusion in low-resolution traffic videos,"Bicycle Detection Based On Multi-feature and
+Multi-frame Fusion in low-resolution traffic videos
+Yicheng Zhang, Student Member, IEEE, and Qiang Ling, Senior Member, IEEE
+Some other methods like using MSC-HOG method for
+detection [12] or detecting tires of bicycles in videos [13]
+lso can get good results, but they are either time consuming
+or high quality videos required. Some new methods, such the
+method based on HOG features with ROI in [14], try to use
+more advanced hardware device like GPU to finish the great
+mount of computation.
+In summary, there are three major defects in the available
+icycle detection methods based on image processing. First,
+they require fine features for detection, which are hard to
+extract, particularly for traffic videos with low-resolution.
+Second, the processing time under these methods is usually
+long and may not meet
+the requirement of the real-time
+detection. Last, they make the bicycle detection decision by the
+information in a single frame, which may lead to misjudgment,
+especially in the case of strong noise or light changing."

+9fc37eccb3d12329f208cb7d3a509024e182a100,Mel-cepstral feature extraction methods for image representation,Downloaded From: https://www.spiedigitallibrary.org/journals/Optical-Engineering on 9/28/2017 Terms of Use: https://spiedigitallibrary.spie.org/ss/TermsOfUse.aspx

+9fb1bd7d98a2fa79e1b9cb21b865ec7af0c1283f,Not All Distraction Is Bad: Working Memory Vulnerability to Implicit Socioemotional Distraction Correlates with Negative Symptoms and Functional Impairment in Psychosis,"Hindawi Publishing Corporation
+Schizophrenia Research and Treatment
+Volume 2014, Article ID 320948, 6 pages
+http://dx.doi.org/10.1155/2014/320948
+Clinical Study
+Not All Distraction Is Bad: Working Memory Vulnerability
+to Implicit Socioemotional Distraction Correlates with Negative
+Symptoms and Functional Impairment in Psychosis
+Quintino R. Mano,1,2,3 Gregory G. Brown,1,2,3 Heline Mirzakhanian,1,2,3
+Khalima Bolden,1,2,3 Kristen S. Cadenhead,1,2,3 and Gregory A. Light1,2,3
+San Diego Veterans Affairs Healthcare System, San Diego, CA 92161, USA
+VISN-22 Mental Illness, Research, Education and Clinical Center (MIRECC), VA San Diego Healthcare System,
+San Diego, CA 92161, USA
+Department of Psychiatry, University of California, San Diego, School of Medicine, San Diego, CA, USA
+Correspondence should be addressed to Gregory G. Brown;
+Received 31 July 2013; Revised 26 November 2013; Accepted 15 December 2013; Published 27 February 2014
+Academic Editor: Steven J. Siegel
+Copyright © 2014 Quintino R. Mano et al. This is an open access article distributed under the Creative Commons Attribution
+License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly
+ited."

+9f483933bcc872771707dcf0acb1382411ffee94,Which Facial Expressions Can Reveal Your Gender? A Study With 3D Faces,"IN SUBMISSION TO IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
+Which Facial Expressions Can Reveal Your
+Gender? A Study With 3D Faces
+Baiqiang XIA"

+9fa1be81d31fba07a1bde0275b9d35c528f4d0b8,Identifying Persons by Pictorial and Contextual Cues,"Identifying Persons by Pictorial and
+Contextual Cues
+Nicholas Leonard Pi¨el
+Thesis submitted for the degree of Master of Science
+Supervisor:
+Prof. dr. Theo Gevers
+April 2009"

+9f7c1b794805be34bc2091e02c382c5461e0bcb4,On-board real-time tracking of pedestrians on a UAV,"On-board real-time tracking of pedestrians on a UAV
+Floris De Smedt, Dries Hulens, and Toon Goedem´e
+ESAT-PSI-VISICS, KU Leuven, Belgium"

+9f094341bea610a10346f072bf865cb550a1f1c1,Recognition and volume estimation of food intake using a mobile device,"Recognition and Volume Estimation of Food Intake using a Mobile Device
+Manika Puri Zhiwei Zhu Qian Yu Ajay Divakaran Harpreet Sawhney
+Sarnoff Corporation
+01 Washington Rd,
+Princeton, NJ, 08540
+{mpuri, zzhu, qyu, adivakaran,"

+9fbe2611b1e2a49199fdee96c2083da625ba57df,Leveraging Multi-Modal Sensing for Mobile Health: A Case Review in Chronic Pain,"J-STSP-PCSPHT-00370-2015.R1
+Leveraging Multi-Modal Sensing for Mobile
+Health: a Case Review in Chronic Pain
+Min S. H. Aung, Faisal Alquaddoomi, Andy Hsieh, Mashfiqui Rabbi, Longqi Yang, J.P. Pollak,
+Tanzeem Choudhury, and Deborah Estrin
+(cid:3)"

+9fb1d7cbf1baf5f347d159410d22912fcee1fdb1,Face Detection Using Ferns,"FACE DETECTION USING FERNS
+Venkatesh Bala Subburaman        Sébastien Marcel
+Idiap-Com-01-2011
+DECEMBER 2011
+Centre du Parc, Rue Marconi 19, P.O. Box 592, CH - 1920 Martigny
+T +41 27 721 77 11  F +41 27 721 77 12   www.idiap.ch"

+6b7f27cff688d5305c65fbd90ae18f3c6190f762,Generative networks as inverse problems with Scattering transforms,"Published as a conference paper at ICLR 2018
+GENERATIVE NETWORKS AS INVERSE PROBLEMS
+WITH SCATTERING TRANSFORMS
+Tom´as Angles & St´ephane Mallat
+´Ecole normale sup´erieure, Coll`ege de France, PSL Research University
+75005 Paris, France"

+6bd6460ec06adc1bd69d9517d116fd1545c04ac7,Small sample scene categorization from perceptual relations,"In the Proceedings of the IEEE conference on Computer Vision and Pattern Recognition (CVPR), 2012
+Small Sample Scene Categorization from Perceptual Relations
+Ilan Kadar and Ohad Ben-Shahar
+Dept. of Computer Science, Ben-Gurion University
+Beer-Sheva, Israel"

+6bcfcc4a0af2bf2729b5bc38f500cfaab2e653f0,Facial Expression Recognition in the Wild Using Improved Dense Trajectories and Fisher Vector Encoding,"Facial expression recognition in the wild using improved dense trajectories and
+Fisher vector encoding
+Sadaf Afshar1
+Albert Ali Salah2
+Computational Science and Engineering Program, Bo˘gazic¸i University, Istanbul, Turkey
+Department of Computer Engineering, Bo˘gazic¸i University, Istanbul, Turkey
+{sadaf.afshar,"

+6bee77418af305d632b21eb03872a0d268eeebac,Understanding the Intrinsic Memorability of Images,"Understanding the Intrinsic Memorability of Images
+Phillip Isola
+Devi Parikh
+TTI-Chicago
+Antonio Torralba
+Aude Oliva"

+6bbcec054017a6fd64af8bf325cb6e3e7244ba55,On the Benefits and the Limits of `p-norm Multiple Kernel Learning In Image Classification,"On the Benefits and the Limits of (cid:96)p-norm Multiple Kernel Learning In Image
+Classification
+Alexander Binder
+Technical University of Berlin
+Franklinstr. 28/29, 10587 Berlin, Germany
+Shinichi Nakajima
+NIKON Corporation
+Optical Research Laboratory, Tokyo, Japan
+Marius Kloft
+Technical University of Berlin
+Christina M¨uller
+Technical University of Berlin
+Wojciech Samek
+Technical University of Berlin
+Ulf Brefeld
+Yahoo! Research
+Barcelona, Spain
+Klaus-Robert M¨uller
+Technical University of Berlin
+Motoaki Kawanabe"

+6b4da897dce4d6636670a83b64612f16b7487637,Learning from Simulated and Unsupervised Images through Adversarial Training,"This paper has been submitted for publication on November 15, 2016.
+Learning from Simulated and Unsupervised Images through Adversarial
+Training
+Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Josh Susskind, Wenda Wang, Russ Webb
+Apple Inc"

+6b089627a4ea24bff193611e68390d1a4c3b3644,Cross-Pollination of Normalization Techniques From Speaker to Face Authentication Using Gaussian Mixture Models,"CROSS-POLLINATION OF NORMALISATION
+TECHNIQUES FROM SPEAKER TO FACE
+AUTHENTICATION USING GAUSSIAN
+MIXTURE MODELS
+Roy Wallace        Mitchell McLaren        Chris McCool
+Sébastien Marcel
+Idiap-RR-03-2012
+JANUARY 2012
+Centre du Parc, Rue Marconi 19, P.O. Box 592, CH - 1920 Martigny
+T +41 27 721 77 11  F +41 27 721 77 12   www.idiap.ch"

+6b5850c5a288fd26480ebcbbfc43172597e0d442,PHARMACOLOGICAL EFFECTS ON SOCIAL INTERACTION 1 Effects of Pharmacological Manipulations on Natural Social Interaction in Rhesus Macaques: A Pilot Investigation,"PHARMACOLOGICAL EFFECTS ON SOCIAL INTERACTION
+Effects of Pharmacological Manipulations on
+Natural Social Interaction in Rhesus Macaques: A Pilot Investigation
+Angelica Fuentes
+Spring, 2017
+Cognitive Science
+Advisor: Steve W. Chang"

+6be0ab66c31023762e26d309a4a9d0096f72a7f0,Enhance Visual Recognition under Adverse Conditions via Deep Networks,"Enhance Visual Recognition under Adverse
+Conditions via Deep Networks
+Ding Liu, Student Member, IEEE, Bowen Cheng, Zhangyang Wang, Member, IEEE,
+Haichao Zhang, Member, IEEE, and Thomas S. Huang, Life Fellow, IEEE"

+6b3c9c0e4d47bd960c0adc4d13ae524a5d9b94d1,Visual Multiple-Object Tracking for Unknown Clutter Rate,"THIS PAPER IS A PREPRINT OF A PAPER SUBMITTED TO IET COMPUTER VISION. IF ACCEPTED, THE COPY OF RECORD WILL BE AVAILABLE AT THE IET DIGITAL LIBRARY1
+Visual Multiple-Object Tracking for Unknown
+Clutter Rate
+Du Yong Kim"

+6bf58047438f54720e03252d50984d1a340a116a,Discriminative Autoencoders for Small Targets Detection,"Discriminative Autoencoders
+for Small Targets Detection.
+Sebastien Razakarivony
+SAGEM D.S. – SAFRAN Group
+CNRS UMR 6072 – University of Caen – ENSICAEN
+Email:
+Fr´ed´eric Jurie
+CNRS UMR 6072 – University of Caen – ENSICAEN
+Email:"

+6b0b10836197d7934f53080a39787b7d8d2b81f2,Detecting Granger-causal relationships in global spatio-temporal climate data via multitask learning,"Detecting Granger-causal relationships in global
+spatio-temporal climate data via multi-task learning
+Matthias Demuzere
+Christina Papagiannopoulou
+Diego G. Miralles
+Ghent University
+Ghent University
+Ghent University
+Niko E. C. Verhoest
+Ghent University
+Willem Waegeman
+Ghent University"

+6b78f2ece211c2d1eb6699e1e057b7beb3e0b4a7,GM-PHD-Based Multi-Target Visual Tracking Using Entropy Distribution and Game Theory,"GM-PHD-Based Multi-Target Visual Tracking
+Using Entropy Distribution and Game Theory
+Xiaolong Zhou, Youfu Li, Senior Member, IEEE, Bingwei He, and Tianxiang Bai"

+6b2db002cbc5312e4796de4d4b14573df2c01648,Learning Hierarchical Features from Deep Generative Models,"Learning Hierarchical Features from Deep Generative Models
+Shengjia Zhao 1 Jiaming Song 1 Stefano Ermon 1"

+6b18628cc8829c3bf851ea3ee3bcff8543391819,Face recognition based on subset selection via metric learning on manifold,"Hong Shao, Shuang Chen, Jie-yi Zhao, Wen-cheng Cui, Tian-shu Yu, 2015.
+Face recognition based on subset selection via metric learning on manifold.
+058.  [doi:10.1631/FITEE.1500085]
+Face recognition based on subset
+selection via metric learning on manifold
+Key words: Face recognition, Sparse representation, Manifold structure,
+Metric learning, Subset selection
+Contact: Shuang Chen
+E-mail:
+ORCID: http://orcid.org/0000-0001-7441-4749
+Front Inform Technol & Electron Eng"

+6b02d73f097d745e58bb99a880e559b78c4594a1,Cross-Domain Face Verification: Matching ID Document and Self-Portrait Photographs,"Cross-Domain Face Verification:
+Matching ID Document and Self-Portrait Photographs
+Guilherme Folego 1,2 ∗ Marcus A. Angeloni 1,2
+Jos´e Augusto Stuchi 2,3 Alan Godoy 1,2 Anderson Rocha 2
+CPqD Foundation, Brazil
+University of Campinas (Unicamp), Brazil
+Phelcom Technologies, Brazil"

+6bf57ae6c63873253d1b95782f8c6b7bbc91b9ac,Semantic face segmentation from video streams in the wild,"UNIVERSITAT POLITÈCNICA DE CATALUNYA
+Universitat de Barcelona
+Universitat Rovira i Virgili
+MASTER THESIS
+Semantic face segmentation from video
+streams in the wild
+Author:
+Deividas SKIPARIS
+Academic Supervisor:
+Dr. Sergio ESCALERA
+Industry Supervisor:
+Dr. Pascal LANDRY
+A thesis submitted in fulfillment of the requirements
+for the degree of Master of Artificial Intelligence
+in the
+Facultat d’Informàtica de Barcelona (FIB)
+Facultat de Matemàtiques (UB)
+Escola Tècnica Superior d’Enginyeria (URV)
+June 16, 2017"

+6b6946ce943da5ba4bf6471609d3355cadec172e,Improvement of Facial Emotion Recognition Using Skin Color and Face Components,"International journal of Computer Science & Network Solutions                                         April.2014-Volume 2.No4
+http://www.ijcsns.com
+ISSN 2345-3397
+Improvement of Facial Emotion Recognition
+Using Skin Color and Face Components
+Department of Computer Engineering, khouzestan Science and Research Branch, Islamic Azad
+kowsar azadmanesh, Reza javidan,  S. Enayatolah Alavi
+Computer Engineering and IT Department Shiraz University of Technology, Shiraz, Iran,
+Department of computer Engineering, shahid chamran university, Ahvaz, Iran,
+University, Ahvaz, Iran,"

+6b5438161cfe55d1bd44829db81f396819e9e6b9,Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning,"Wasserstein Dictionary Learning:
+Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning
+Morgan A. Schmitz∗ , Matthieu Heitz† , Nicolas Bonneel† , Fred Ngol`e‡ , David Coeurjolly† ,
+Marco Cuturi§ , Gabriel Peyr´e¶, and Jean-Luc Starck∗"

+6b6791c0a3f06c356035747f7e5f87d54bc5a657,A Neuro Fuzzy approach for Facial Expression Recognition using LBP Histograms,"International Journal of Computer Theory and Engineering, Vol. 2, No. 2 April, 2010
+793-8201
+A Neuro Fuzzy approach for Facial Expression
+Recognition using LBP Histograms
+V. Gomathi, Dr. K. Ramar, and A. Santhiyaku Jeevakumar"

+6b59716a193d3f91f88277e4c8a0f4cd0b6873c4,Detection of Deception in the Mafia Party Game,"Detection of Deception in the Mafia Party Game
+Sergey Demyanov
+James Bailey
+Kotagiri
+Ramamohanarao
+Christopher Leckie
+Department of Computing and Information Systems
+The University of Melbourne, Melbourne, VIC, Australia"

+6b55153f8d87bfd0dfb2f24eb2aa61d40e314cae,"Track, Then Decide: Category-Agnostic Vision-Based Multi-Object Tracking","Track, then Decide: Category-Agnostic Vision-based
+Multi-Object Tracking
+Aljoˇsa Oˇsep, Wolfgang Mehner, Paul Voigtlaender, and Bastian Leibe"

+6bca057c25b48fa7d1607e5701c46392ec906822,An ordered topological representation of 3D triangular mesh facial surface: Concept and applications,"Werghi et al. EURASIP Journal on Advances in Signal Processing 2012, 2012:144
+http://asp.eurasipjournals.com/content/2012/1/144
+RESEARCH
+Open Access
+An ordered topological representation of 3D
+triangular mesh facial surface: concept and
+pplications
+Naoufel Werghi1*, Mohamed Rahayem2 and Johan Kjellander2"

+6b6943a138938c31b285c1bb11213b87404feddf,Multiple Instance Learning-Based Birdsong Classification Using Unsupervised Recording Segmentation,"Multiple Instance Learning-Based Birdsong Classification
+Using Unsupervised Recording Segmentation
+J. F. Ruiz-Mu˜noz, Mauricio Orozco-Alzate, G. Castellanos-Dominguez
+Universidad Nacional de Colombia - Sede Manizales
+{jfruizmu, morozcoa,"

+6b8a5a2d018356b396301b27156fd69dd18b1d82,A Study on the Impact of Wavelet Decomposition on Face Recognition Methods,"International Journal of Computer Applications (0975 – 8887)
+Volume 87 – No.3, February 2014
+A Study on the Impact of Wavelet Decomposition on
+Face Recognition Methods
+M. M. Mohie El-Din1, Neveen. I. Ghali2, Ahmed. A. A. G1 and H. A. El Shenbary 1
+Department of Mathematics and Computer Science, Faculty of Science, Al-Azhar University, Cairo, Egypt
+Assoc. Prof Computer Science, Faculty of Science, Al-Azhar University, Cairo. Egypt"

+6b6493551017819a3d1f12bbf922a8a8c8cc2a03,Pose Normalization for Local Appearance-Based Face Recognition,"Pose Normalization for Local Appearance-Based
+Face Recognition
+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"

+6b6e2c2ff6fcc5837523940c69cf2e9e94bc0503,Unsupervised Deep Video Hashing with Balanced Rotation,Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)

+6b95a3dbec92071c8552576930e69455c70e529c,BEGAN: Boundary Equilibrium Generative Adversarial Networks,"BEGAN: Boundary Equilibrium Generative
+Adversarial Networks
+David Berthelot, Thomas Schumm, Luke Metz
+Google"

+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)"

+6bb55ed3761eb1556acbd1a0d15c2c9099bab0b7,Temporally Coherent Bayesian Models for Entity Discovery in Videos by Tracklet Clustering,"Temporally Coherent Chinese Restaurant Process
+for Discovery of Persons and Corresponding
+Tracklets from User-generated Videos"

+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,"

+07d49098ada2d8e1ca0608c70e559dd517ca3432,Modélisation de contextes pour l'annotation sémantique de vidéos. (Context based modeling for video semantic annotation),"Modélisation de contextes pour l’annotation sémantique
+de vidéos
+Nicolas Ballas
+To cite this version:
+Nicolas Ballas. Modélisation de contextes pour l’annotation sémantique de vidéos. Autre [cs.OH].
+Ecole Nationale Supérieure des Mines de Paris, 2013. Français. <NNT : 2013ENMP0051>. <pastel-
+00958135>
+HAL Id: pastel-00958135
+https://pastel.archives-ouvertes.fr/pastel-00958135
+Submitted on 11 Mar 2014
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+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"

+079b6800e3130ca2ef1815a35632ab6998848ef3,Fine-grained Apparel Classification and Retrieval without rich annotations,"Fine-grained Apparel Classification and Retrieval
+without rich annotations
+Aniket Bhatnagar · Sanchit Aggarwal"

+0760b9375db1505e9b9c182e98bb9579dd9197af,Robust Subspace Discovery through Supervised Low-Rank Constraints,"Robust Subspace Discovery through Supervised Low-Rank Constraints
+Sheng Li∗
+Yun Fu∗"

+070ab604c3ced2c23cce2259043446c5ee342fd6,An Active Illumination and Appearance (AIA) Model for Face Alignment,"AnActiveIlluminationandAppearance(AIA)ModelforFaceAlignment
+FatihKahraman,MuhittinGokmen
+IstanbulTechnicalUniversity,
+ComputerScienceDept.,Turkey
+{fkahraman,
+InformaticsandMathematicalModelling,Denmark
+SuneDarkner,RasmusLarsen
+TechnicalUniversityofDenmark"

+07a8a4b8f207b2db2a19e519027f70cd1c276294,Pixel Recursive Super Resolution,"Pixel Recursive Super Resolution
+Ryan Dahl ∗
+Jonathon Shlens
+Mohammad Norouzi
+Google Brain"

+071135dfb342bff884ddb9a4d8af0e70055c22a1,Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification,"New Architecture and Transfer Learning for Video Classification
+Temporal 3D ConvNets:
+Ali Diba1,4,(cid:63), Mohsen Fayyaz2,(cid:63), Vivek Sharma3, Amir Hossein Karami4, Mohammad Mahdi Arzani4,
+Rahman Yousefzadeh4, Luc Van Gool1,4
+ESAT-PSI, KU Leuven, 2University of Bonn, 3CV:HCI, KIT, Karlsruhe, 4Sensifai"

+0754e769eb613fd3968b6e267a301728f52358be,Towards a Watson that sees: Language-guided action recognition for robots,"Towards a Watson That Sees: Language-Guided Action Recognition for
+Robots
+Ching L. Teo, Yezhou Yang, Hal Daum´e III, Cornelia Ferm¨uller and Yiannis Aloimonos"

+0725b950792ddbe4edf812a7ee8cef14447236ed,Efficient Large-Scale Multi-Modal Classification,"Efficient Large-Scale Multi-Modal Classification
+Douwe Kiela, Edouard Grave, Armand Joulin and Tomas Mikolov
+Facebook AI Research"

+07c83f544d0604e6bab5d741b0bf9a3621d133da,Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition,"Learning Spatio-Temporal Features with 3D Residual Networks
+for Action Recognition
+Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh
+National Institute of Advanced Industrial Science and Technology (AIST)
+Tsukuba, Ibaraki, Japan
+{kensho.hara, hirokatsu.kataoka,"

+07adc7429fb22352946b675023df7db11c905701,Active Multitask Learning Using Both Latent and Supervised Shared Topics,"Active Multitask Learning Using Both Latent and Supervised Shared Topics
+Ayan Acharya∗
+Raymond J. Mooney∗
+Joydeep Ghosh∗"

+073c9ec4ff069218f358b9dd8451a040cf1a4a82,Object Classification and Detection in High Dimensional Feature Space,"Object Classification and Detection
+in High Dimensional Feature Space
+THIS IS A TEMPORARY TITLE PAGE
+It will be replaced for the final print by a version
+provided by the service académique.
+Thèse n. 6043
+présentée le 17 Décembre 2013
+à la Faculté Sciences et Techniques de l’Ingénieur
+Laboratoire de l’Idiap
+Programme doctoral en Informatique, Communications et Infor-
+mation
+École Polytechnique Fédérale de Lausanne
+pour l’obtention du grade de Docteur ès Sciences
+Charles Dubout
+cceptée sur proposition du jury:
+Prof Mark Pauly, président du jury
+Dr François Fleuret, directeur de thèse
+Prof Pascal Fua, rapporteur
+Prof Gilles Blanchard, rapporteur
+Prof Frédéric Jurie, rapporteur"

+0726152a1c1a5723ac34d54abec0dc8d4659598e,Realtime Image Matching for Vision Based Car Navigation with Built-in Sensory Data,"ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume II-3/W2, 2013
+ISA13 - The ISPRS Workshop on Image Sequence Analysis 2013, 11 November 2013, Antalya, Turkey"

+070199a5087590f96c4422b82e4803911bb0652e,What Are We Tracking: A Unified Approach of Tracking and Recognition,"What Are We Tracking: A Unified Approach of
+Tracking and Recognition
+Jialue Fan, Xiaohui Shen, Student Member, IEEE, and Ying Wu, Senior Member, IEEE"

+07ca211bde38009697c964702a29d0fe3260bf97,Resource Aware Person Re-identification across Multiple Resolutions,"Resource Aware Person Re-identification across Multiple Resolutions
+Yan Wang∗ †, Lequn Wang∗ †, Yurong You∗ ‡, Xu Zou§, Vincent Chen†
+Serena Li†, Gao Huang†, Bharath Hariharan†, Kilian Q. Weinberger†"

+07dbf04089b015db773fe95e664fa73aef874b36,Fishy Faces: Crafting Adversarial Images to Poison Face Authentication,"Fishy Faces: Crafting Adversarial Images to Poison Face Authentication
+Giuseppe Garofalo
+Vera Rimmer
+Tim Van hamme
+imec-DistriNet, KU Leuven
+imec-DistriNet, KU Leuven
+imec-DistriNet, KU Leuven
+Davy Preuveneers
+Wouter Joosen
+imec-DistriNet, KU Leuven
+imec-DistriNet, KU Leuven"

+07d6238d8f8edbfe0fd2887fa0a7939735f21e13,Learning Human Optical Flow,"RANJAN, ROMERO, BLACK: LEARNING HUMAN OPTICAL FLOW
+Learning Human Optical Flow
+MPI for Intelligent Systems
+Tübingen, Germany
+Amazon Inc.
+Anurag Ranjan1
+Javier Romero∗,2
+Michael J. Black1"

+07ad6bb9b21c065cd92ab2f24a22c1d4a8f205a7,Realtime facial animation with on-the-fly correctives,"Realtime Facial Animation with On-the-fly Correctives
+Hao Li⇤
+Jihun Yu†
+Yuting Ye‡
+Chris Bregler§
+Industrial Light & Magic
+input depth map & 2D features
+data-driven tracking
+our tracking
+data-driven retargeting
+our retargeting
+Figure 1: Our adaptive tracking model conforms to the input expressions on-the-fly, producing a better fit to the user than state-of-the-art
+data driven techniques [Weise et al. 2011] which are confined to learned motion priors and generate plausible but not accurate tracking.
+Links:
+Introduction
+The essence of high quality performance-driven facial animation is
+to capture every trait and characteristic of an actor’s facial and ver-
+al expression and to reproduce those on a digital double or crea-
+ture. Even with the latest 3D scanning and motion capture tech-
+nology, the creation of realistic digital faces in film and game pro-"

+072fd0b8d471f183da0ca9880379b3bb29031b6a,Image-to-Image Translation with Conditional Adversarial Networks,"Image-to-Image Translation with Conditional Adversarial Networks
+Phillip Isola
+Jun-Yan Zhu
+Tinghui Zhou
+Alexei A. Efros
+Berkeley AI Research (BAIR) Laboratory, UC Berkeley
+Figure 1: Many problems in image processing, graphics, and vision involve translating an input image into a corresponding output image.
+These problems are often treated with application-specific algorithms, even though the setting is always the same: map pixels to pixels.
+Conditional adversarial nets are a general-purpose solution that appears to work well on a wide variety of these problems. Here we show
+results of the method on several. In each case we use the same architecture and objective, and simply train on different data."

+0717b47ab84b848de37dbefd81cf8bf512b544ac,Robust Face Recognition and Tagging in Visual Surveillance System,"International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622
+International Conference on Humming Bird ( 01st March 2014)
+RESEARCH ARTICLE
+OPEN ACCESS
+Robust Face Recognition and Tagging in Visual Surveillance
+Kavitha MS 1, Siva Pradeepa S2
+System
+Kavitha MS Author is currently pursuing M.E(CSE)in VINS Christian college of Engineering,Nagercoil.
+Siva pradeepa,Assistant Lecturer in VINS Christian college of Engineering"

+07eaf19eecf4ccdd5f8e3367c1675d9f4addd2df,Learning pullback manifolds of dynamical models,"IEEE TRANSACTIONS ON PAMI, VOL. XX, NO. Y, MONTH 2010
+SubmittedtoIEEETrans.onPatternAnalysisandMachineIntelligence;October27,2010
+Learning pullback manifolds of dynamical
+models
+Fabio Cuzzolin"

+0779875eff440365184dd8bf44e9f85f78267c5f,An Intelligent Extraversion Analysis Scheme from Crowd Trajectories for Surveillance,"JOURNAL OF LATEX CLASS FILES, VOL. XX, NO. YY, JULY 2017
+An Intelligent Extraversion Analysis Scheme from
+Crowd Trajectories for Surveillance
+Wenxi Liu, Yuanlong Yu, Chun-Yang Zhang, Genggeng Liu, Naixue Xiong"

+074a12f9187beafe40386f19aa2544df30fa5703,Product Characterisation towards Personalisation: Learning Attributes from Unstructured Data to Recommend Fashion Products,"Product Characterisation towards Personalisation
+Learning Attributes from Unstructured Data to Recommend Fashion Products
+Ângelo Cardoso∗
+ISR, IST, Universidade de Lisboa
+Lisbon, Portugal
+Fabio Daolio
+ASOS.com
+London, UK
+Saúl Vargas
+ASOS.com
+London, UK"

+0750a816858b601c0dbf4cfb68066ae7e788f05d,CosFace: Large Margin Cosine Loss for Deep Face Recognition,"CosFace: Large Margin Cosine Loss for Deep Face Recognition
+Hao Wang, Yitong Wang, Zheng Zhou, Xing Ji, Dihong Gong, Jingchao Zhou,
+Zhifeng Li∗, and Wei Liu∗
+Tencent AI Lab"

+078d507703fc0ac4bf8ca758be101e75ea286c80,Large - Scale Content Based Face Image Retrieval using Attribute Enhanced,"ISSN: 2321-8169
+International Journal on Recent and Innovation Trends in Computing and Communication
+Volume: 3 Issue: 8
+5287 - 5296
+________________________________________________________________________________________________________________________________
+Large- Scale Content Based Face Image Retrieval using Attribute Enhanced
+Sparse Codewords.
+Chaitra R,
+Mtech Digital Coomunication Engineering
+Acharya Institute Of Technology
+Bangalore"

+0716e1ad868f5f446b1c367721418ffadfcf0519,Interactively Guiding Semi-Supervised Clustering via Attribute-Based Explanations,"Interactively Guiding Semi-Supervised
+Clustering via Attribute-Based Explanations
+Shrenik Lad and Devi Parikh
+Virginia Tech, Blacksburg, VA, USA"

+07c6744e25ed01967e448a397f5d7e9d540345c3,Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval,"Effective Multi-Query Expansions: Collaborative Deep Networks for Robust
+Landmark Retrieval
+Yang Wang, Xuemin Lin, Lin Wu, Wenjie Zhang"

+0726a45eb129eed88915aa5a86df2af16a09bcc1,Introspective perception: Learning to predict failures in vision systems,"Introspective Perception: Learning to Predict Failures in Vision Systems
+Shreyansh Daftry, Sam Zeng, J. Andrew Bagnell and Martial Hebert"

+07625af8d73142e239b5cdccb1dd226648e4b0d4,Learning Scene-Independent Group Descriptors for Crowd Understanding,"Learning Scene-Independent Group Descriptors for
+Crowd Understanding
+Jing Shao, Chen Change Loy, Member, IEEE, and Xiaogang Wang, Member, IEEE"

+0742d051caebf8a5d452c03c5d55dfb02f84baab,Real-time geometric motion blur for a deforming polygonal mesh,"Real-Time Geometric Motion Blur for a Deforming Polygonal Mesh
+Nathan Jones
+Formerly: Texas A&M University
+Currently: The Software Group"

+079a0a3bf5200994e1f972b1b9197bf2f90e87d4,Component-Based Face Recognition with 3D Morphable Models,"Component-based Face Recognition with 3D
+Morphable Models
+Jennifer Huang1, Bernd Heisele1;2, and Volker Blanz3
+Center for Biological and Computational Learning, M.I.T., Cambridge, MA, USA
+Honda Research Institute US, Boston, MA, USA
+Computer Graphics Group, Max-Planck-Institut, Saarbr˜ucken, Germany"

+07faa38d4d0e9d14d72bd049362efa83fae78ee3,Quick Identification of Child Pornography in Digital Videos,"IJoFCS (2012) 2, 21-32
+DOI: 10.5769/J201202002 or http://dx.doi.org/10.5769/J201202002
+Quick Identification of Child Pornography
+in Digital Videos
+Mateus de Castro Polastro and Pedro Monteiro da Silva Eleuterio
+Brazilian Federal Police
+Campo Grande/MS
+E-mails:"

+073bcb3b1aed5cdf7bff4e9fe46a21175f42c877,"Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly","Zero-Shot Learning - A Comprehensive
+Evaluation of the Good, the Bad and the Ugly
+Yongqin Xian, Student Member, IEEE, Christoph H. Lampert,
+Bernt Schiele, Fellow, IEEE, and Zeynep Akata, Member, IEEE"

+0770f0f8f168c284a63e46b394150a8c429549da,Project-Team Pulsar Perception Understanding Learning Systems for Activity Recognition,"INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE
+Project-Team Pulsar
+Perception Understanding Learning
+Systems for Activity Recognition
+Sophia Antipolis - Méditerranée
+THEME COG
+tivitytepor2008"

+389b2390fd310c9070e72563181547cf23dceea3,Β-vae: Learning Basic Visual Concepts with a Constrained Variational Framework,"Published as a conference paper at ICLR 2017
+β-VAE: LEARNING BASIC VISUAL CONCEPTS WITH A
+CONSTRAINED VARIATIONAL FRAMEWORK
+Irina Higgins, Loic Matthey, Arka Pal, Christopher Burgess, Xavier Glorot,
+Matthew Botvinick, Shakir Mohamed, Alexander Lerchner
+Google DeepMind
+{irinah,lmatthey,arkap,cpburgess,glorotx,"

+38d56ddcea01ce99902dd75ad162213cbe4eaab7,Sense Beauty by Label Distribution Learning,Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)

+389334e9a0d84bc54bcd5b94b4ce4c5d9d6a2f26,Facial parameter extraction system based on active contours,"FACIAL PARAMETER EXTRACTION SYSTEM BASED ON ACTIVE CONTOURS
+Montse Pardàs, Marcos Losada
+Universitat Politècnica de Catalunya, Barcelona, Spain"

+38f7f3c72e582e116f6f079ec9ae738894785b96,A New Technique for Face Matching after Plastic Surgery in Forensics,"IJARCCE
+ISSN (Online) 2278-1021
+ISSN (Print) 2319 5940
+International Journal of Advanced Research in Computer and Communication Engineering
+Vol. 4, Issue 11, November 2015
+A New Technique for Face Matching after
+Plastic Surgery in Forensics
+Anju Joseph1, Nilu Tressa Thomas2, Neethu C. Sekhar3
+Student, Dept. of CSE, Amal Jyothi College of Engineering, Kanjirappally, India 1,2
+Asst. Professor, Dept. of CSE, Amal Jyothi College of Engineering, Kanjirappally, India 3
+I.  INTRODUCTION
+Facial  recognition  is  one  of  the  most  important    task  that
+forensic  examiners  execute
+their
+investigation. This work focuses on analysing the effect of
+plastic  surgery  in  face  recognition  algorithms.  It  is
+imperative for the subsequent facial recognition systems to
+e  capable  of  addressing  this  significant  issue  and
+ccordingly  there  is  a  need  for  more  research  in  this
+important area."

+38679355d4cfea3a791005f211aa16e76b2eaa8d,Evolutionary Cross-Domain Discriminative Hessian Eigenmaps,"Title
+Evolutionary cross-domain discriminative Hessian Eigenmaps
+Author(s)
+Si, S; Tao, D; Chan, KP
+Citation
+Issued Date
+http://hdl.handle.net/10722/127357
+Rights
+This work is licensed under a Creative Commons Attribution-
+NonCommercial-NoDerivatives 4.0 International License.; ©2010
+IEEE. Personal use of this material is permitted. However,
+permission to reprint/republish this material for advertising or
+promotional purposes or for creating new collective works for
+resale or redistribution to servers or lists, or to reuse any
+opyrighted component of this work in other works must be
+obtained from the IEEE."

+38998d58a0c1048ad4c08d0022066e22ba6d1201,Re-identification through a Video Camera Network,"UNIVERSIT´EDENICE-SOPHIAANTIPOLIS´ECOLEDOCTORALESTICSCIENCESETTECHNOLOGIESDEL’INFORMATIONETDELACOMMUNICATIONTH`ESEpourl’obtentiondugradedeDocteurenSciencesdel’Universit´edeNice-SophiaAntipolisMention:AUTOMATIQUETRAITEMENTDUSIGNALETDESIMAGESpr´esent´eeetsoutenueparMalikSOUDEDPEOPLEDETECTION,TRACKINGANDRE-IDENTIFICATIONTHROUGHAVIDEOCAMERANETWORKTh`esedirig´eeparFranc¸oisBR´EMONDSoutenancepr´evuele20/12/2013Jury:MoniqueTHONNATDirectrice,INRIASophia-Antipolis,FrancePr´esidenteJamesFERRYMANProfesseur,UniversityofReading,UKRapporteurCarloREGAZZONIProfesseur,UniversityofGenova,ItalyRapporteurPatrickBOUTHEMYDirecteur,INRIARennes,FranceExaminateurFranc¸oisBREMONDDirecteur,INRIASophia-Antipolis,FranceDirecteurdeth`eseMarie-ClaudeFRASSONDirectrice,DigitalBarriers,Sophia-Antipolis,FranceInvit´ee"

+380b8df0f340e5bbc3a953c62f9bc573ce073b92,Joint Image-Text News Topic Detection and Tracking by Multimodal Topic And-Or Graph,"Joint Image-Text News Topic Detection and
+Tracking by Multimodal Topic And-Or Graph
+Weixin Li, Jungseock Joo, Hang Qi, and Song-Chun Zhu"

+382f1ebe6009e580949d5513bc298cb253a1eeda,Interpreting Complex Regression Models,"Interpreting Complex Regression Models
+Noa Avigdor-Elgrabli∗, Alex Libov†, Michael Viderman∗, Ran Wolff∗
+Yahoo Research, Haifa, Israel,
+Amazon Research, Haifa, Israel,"

+38682c7b19831e5d4f58e9bce9716f9c2c29c4e7,Movie Character Identification Using Graph Matching Algorithm,"International Journal of Computer Trends and Technology (IJCTT) – Volume 18 Number 5 – Dec 2014
+Movie Character Identification Using Graph Matching
+Algorithm
+Shaik. Kartheek.*1, A.Srinivasa Reddy*2
+M.Tech Scholar, Dept of CSE, QISCET, ONGOLE, Dist: Prakasam, AP, India.
+Associate Professor, Department of CSE, QISCET, ONGOLE, Dist: Prakasam, AP, India"

+383d64b27fb3cdf2beff43f3beb8caac8c21a886,Detecting activities of daily living in first-person camera views,"Detecting Activities of Daily Living in First-person Camera Views
+Hamed Pirsiavash Deva Ramanan
+Department of Computer Science, University of California, Irvine"

+3851ed2e3c00083f68c2811694736ebdaa9ed8b5,DeepStory: Video Story QA by Deep Embedded Memory Networks,Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)

+38b3cae6ba1b98d6bc6f88d903916dac888cb951,Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classiffication,"Improving Semantic Embedding Consistency by
+Metric Learning for Zero-Shot Classification
+Maxime Bucher1,2, St´ephane Herbin1, Fr´ed´eric Jurie2
+ONERA - The French Aerospace Lab, Palaiseau, France
+Normandie Univ, UNICAEN, ENSICAEN, CNRS"

+3810b6299140bf2c7d6d0cced765c0777d603923,Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?,"Do Deep Features Generalize from Everyday Objects
+to Remote Sensing and Aerial Scenes Domains?
+Ot´avio A. B. Penatti
+Advanced Technologies Group
+SAMSUNG Research Institute
+Campinas, SP, 13097-160, Brazil
+Keiller Nogueira, Jefersson A. dos Santos
+Department of Computer Science
+Universidade Federal de Minas Gerais
+Belo Horizonte, MG, 31270-010, Brazil"

+38eea307445a39ee7902c1ecf8cea7e3dcb7c0e7,Multi-distance Support Matrix Machines,"Noname manuscript No.
+(will be inserted by the editor)
+Multi-distance Support Matrix Machine
+Yunfei Ye1
+· Dong Han1
+Received: date / Accepted: date"

+3885cfd634c025c6e27c4db8211d72f54f864f90,Implications of holistic face processing in autism and schizophrenia,"Implications of holistic face processing in autism and
+schizophrenia
+Tamara L. Watson*
+School of Social Science and Psychology, University of Western Sydney, Sydney, NSW, Australia
+REVIEW ARTICLE
+published: 05 July 2013
+doi: 10.3389/fpsyg.2013.00414
+People with autism and schizophrenia have been shown to have a local bias in sensory
+processing and face recognition difficulties. A global or holistic processing strategy is
+known to be important when recognizing faces. Studies investigating face recognition in
+these populations are reviewed and show that holistic processing is employed despite
+lower overall performance in the tasks used. This implies that holistic processing is
+necessary but not sufficient for optimal face recognition and new avenues for research
+into face recognition based on network models of autism and schizophrenia are proposed.
+Keywords: vision, face recognition, autism, schizophrenia, holistic coding, configurational coding
+Edited by:
+Rachel A. Robbins, Univeristy of
+Western Sydney, Australia
+Reviewed by:
+Olivia Carter, University of"

+3837f81524286ed5f9142d245743733766aa4017,Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples,"Houdini: Fooling Deep Structured Visual and Speech
+Recognition Models with Adversarial Examples
+Moustapha Cisse
+Facebook AI Research
+Natalia Neverova*
+Facebook AI Research"

+38192f06ac19172299ab543483d2e0eca2f889c0,Mining Mid-level Features for Image Classification,"(will be inserted by the editor)
+Mining Mid-level Features for Image Classification
+Basura Fernando · Elisa Fromont · Tinne Tuytelaars
+Received: date / Accepted: date"

+3832a6d6b1f78cdadee6968d51c1c7c2922ab3cd,ISIA at the ImageCLEF 2017 Image Caption Task,"ISIA at the ImageCLEF 2017 Image Caption Task
+Sisi Liang, Xiangyang Li, Yongqing Zhu, Xue Li, and Shuqiang Jiang
+Key Laboratory of Intelligent Information Processing,
+Institute of Computing Technology Chinese Academy of Sciences,
+No.6 Kexueyuan South Road Zhongguancun, Haidian District, 100190 Beijing, China
+{sisi.liang, xiangyang.li, yongqing.zhu, xue.li,"

+384908bfad5b9e81d605344abcb9e99d8b0f4027,Improving Deep Models of Person Re-identification for Cross-Dataset Usage,"Improving Deep Models of Person Re-identification for
+Cross-Dataset Usage
+Sergey Rodionov1,2, Alexey Potapov1,3, Hugo Latapie4, Enzo Fenoglio4,
+Maxim Peterson2,3
+SingularityNET LLC
+Novamente LLC, USA
+ITMO University, Kronverkskiy pr. 49, 197101 St. Petersburg, Russia
+Chief Technology & Architecture Office, Cisco
+{pas.aicv, astroseger, {hlatapie,"

+38a169b6e67ef7768f91fa208c9b5544f6f57f16,Object Bank: An Object-Level Image Representation for High-Level Visual Recognition,"Int J Comput Vis
+DOI 10.1007/s11263-013-0660-x
+Object Bank: An Object-Level Image Representation
+for High-Level Visual Recognition
+Li-Jia Li · Hao Su · Yongwhan Lim · Li Fei-Fei
+Received: 2 January 2012 / Accepted: 11 September 2013
+© Springer Science+Business Media New York 2013"

+38b18585e4bdb78347d44caa561e69a0045ade8d,Differential Attention for Visual Question Answering,"Differential Attention for Visual Question Answering
+Badri Patro, Vinay P. Namboodiri
+IIT Kanpur
+{ badri,vinaypn"

+3805d47da61527137b6f44b92af3017a2dfe7bd5,Greedy column subset selection for large-scale data sets,"(will be inserted by the editor)
+Greedy Column Subset Selection for Large-scale
+Data Sets
+Ahmed K. Farahat · Ahmed Elgohary ·
+Ali Ghodsi · Mohamed S. Kamel
+Received: date / Accepted: date"

+386a5c06d334d20227e8b2daf5433a2bef385648,Cross and Learn: Cross-Modal Self-Supervision,"Cross and Learn: Cross-Modal Self-Supervision
+Nawid Sayed1, Biagio Brattoli2, and Bj¨orn Ommer2
+Heidelberg University, HCI / IWR, Germany"

+384f972c81c52fe36849600728865ea50a0c4670,"Multi-Fold Gabor, PCA and ICA Filter Convolution Descriptor for Face Recognition","Multi-Fold Gabor, PCA and ICA Filter
+Convolution Descriptor for Face Recognition
+Cheng Yaw Low, Andrew Beng Jin Teoh, Senior Member, IEEE, Cong Jie Ng"

+38f1fac3ed0fd054e009515e7bbc72cdd4cf801a,Finding Person Relations in Image Data of the Internet Archive,"Finding Person Relations in Image Data of the
+Internet Archive
+Eric M¨uller-Budack1,2[0000−0002−6802−1241],
+Kader Pustu-Iren1[0000−0003−2891−9783], Sebastian Diering1, and
+Ralph Ewerth1,2[0000−0003−0918−6297]
+Leibniz Information Centre for Science and Technology (TIB), Hannover, Germany
+L3S Research Center, Leibniz Universit¨at Hannover, Germany"

+380d5138cadccc9b5b91c707ba0a9220b0f39271,Deep Imbalanced Learning for Face Recognition and Attribute Prediction,"Deep Imbalanced Learning for Face Recognition
+nd Attribute Prediction
+Chen Huang, Yining Li, Chen Change Loy, Senior Member, IEEE and Xiaoou Tang, Fellow, IEEE"

+383a58de852715c8544abe60fa64d29fb7ea5688,Inductive Hashing on Manifolds,"Inductive Hashing on Manifolds
+Fumin Shen‡(cid:5)∗ Chunhua Shen(cid:5)† Qinfeng Shi(cid:5) Anton van den Hengel(cid:5) Zhenmin Tang‡
+(cid:5) The University of Adelaide, Australia ‡ Nanjing University of Science and Technology, China"

+38215c283ce4bf2c8edd597ab21410f99dc9b094,The SEMAINE Database: Annotated Multimodal Records of Emotionally Colored Conversations between a Person and a Limited Agent,"The SEMAINE Database: Annotated Multimodal Records of
+Emotionally Colored Conversations between a Person and a Limited
+Agent
+McKeown, G., Valstar, M., Cowie, R., Pantic, M., & Schröder, M. (2012). The SEMAINE Database: Annotated
+Multimodal Records of Emotionally Colored Conversations between a Person and a Limited Agent. IEEE
+Transactions on Affective Computing, 3(1), 5-17. DOI: 10.1109/T-AFFC.2011.20
+Published in:
+Document Version:
+Peer reviewed version
+Queen's University Belfast - Research Portal:
+Link to publication record in Queen's University Belfast Research Portal
+General rights
+Copyright for the publications made accessible via the Queen's University Belfast Research Portal is retained by the author(s) and / or other
+opyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated
+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
+ensure that content in the Research Portal does not infringe any person's rights, or applicable UK laws. If you discover content in the
+Research Portal that you believe breaches copyright or violates any law, please contact
+Download date:05. Nov. 2018"

+38b0a67727dea3fe563e8662517bd0fda2fd5e06,Perceiving and expressing feelings through actions in relation to individual differences in empathic traits: the Action and Feelings Questionnaire (AFQ),"Cogn Affect Behav Neurosci (2016) 16:248–260
+DOI 10.3758/s13415-015-0386-z
+Perceiving and expressing feelings through actions in relation
+to individual differences in empathic traits: the Action
+nd Feelings Questionnaire (AFQ)
+Justin H. G. Williams 1,4 & Isobel M. Cameron 1 & Emma Ross 2 & Lieke Braadbaart 3 &
+Gordon D Waiter 3
+Published online: 20 October 2015
+# The Author(s) 2015. This article is published with open access at Springerlink.com"

+38a3611138388490c2cd60dfbf795932d5e55a79,2D pose estimation in the Restaurant of the Future,"D pose estimation in the Restaurant
+of the Future
+Frederik (Frank) Evers
+supervision by
+dr. ir. Nico P. van der Aa
+Noldus IT B.V.
+Wageningen, NL
+dr. Robby T. Tan
+University of Utrecht
+Utrecht, NL
+March 29, 2012"

+383f874ba7975c83b55c694ec0a70f51dc3a0ee5,Towards Automatic Image Understanding and Mining via Social Curation,"Towards Automatic Image Understanding and Mining via Social Curation
+Katsuhiko Ishiguro, Akisato Kimura, and Koh Takeuchi
+NTT Communication Science Laboratories
+NTT Corporation, Kyoto, Japan"

+389363432ee9fcf0e0cfe67b7b4f62618e1f4b59,Performing content-based retrieval of humans using gait biometrics,"Performing Content-Based Retrieval of Humans
+Using Gait Biometrics
+Sina Samangooei and Mark S. Nixon
+School of Electronics and Computer Science, Southampton University, Southampton,
+SO17 1BJ, United Kingdom"

+3837f3faa722c91aa21d6f17ea1ac1cb5187bda1,Human Action Attribute Learning From Video Data Using Low-Rank Representations,"Human Action Attribute Learning From Video
+Data Using Low-Rank Representations
+Tong Wu, Student Member, IEEE, Prudhvi Gurram, Senior Member, IEEE,
+Raghuveer M. Rao, Fellow, IEEE, and Waheed U. Bajwa, Senior Member, IEEE"

+3898a9dcb22f87413f08bb44c656f4129e1c42df,On binary representations for biometric template protection,"ON BINARY REPRESENTATIONS FOR
+BIOMETRIC TEMPLATE PROTECTION
+Chun Chen"

+38cc2896058131e4656443aedfb1b9dae61b99cd,Functional Connectivity Imaging Analysis: Interhemispheric Integration in Autism,"Functional Connectivity Imaging Analysis:
+Interhemispheric Integration in Autism
+Daniel J. Kelley"

+3802da31c6d33d71b839e260f4022ec4fbd88e2d,Deep Attributes for One-Shot Face Recognition,"Deep Attributes for One-Shot Face Recognition
+Aishwarya Jadhav1,3, Vinay P. Namboodiri2, and K. S. Venkatesh 3
+Xerox Research Center India, 2Department of Computer Science,
+Department of Electrical Engineering, IIT Kanpur"

+38e509fc0d94e954a512128760f7a1f0d6fbc384,A Framework for Application-Guided Task Management on Heterogeneous Embedded Systems,"A Framework for Application Guided Task Management on
+Heterogeneous Embedded Systems
+FRANCISCO GASPAR, INESC-ID, Instituto Superior T´ecnico, Universidade de Lisboa
+LUIS TANIC¸ A, INESC-ID, Instituto Superior T´ecnico, Universidade de Lisboa
+PEDRO TOM ´AS, INESC-ID, Instituto Superior T´ecnico, Universidade de Lisboa
+ALEKSANDAR ILIC, INESC-ID, Instituto Superior T´ecnico, Universidade de Lisboa
+LEONEL SOUSA, INESC-ID, Instituto Superior T´ecnico, Universidade de Lisboa
+In this paper, we propose a general framework for fine-grain application-aware task management in hetero-
+geneous embedded platforms, which allows integration of different mechanisms for an efficient resource uti-
+lization, frequency scaling and task migration. The proposed framework incorporates several components for
+ccurate run-time monitoring by relying on the OS facilities and performance self-reporting for parallel and
+iterative applications. The framework efficiency is experimentally evaluated on a real hardware platform,
+where significant power and energy savings are attained for SPEC CPU2006 and PARSEC benchmarks, by
+guiding frequency scaling and inter-cluster migrations according to the run-time application behavior and
+predefined performance targets.
+CCS Concepts:rComputer systems organization → Multicore architectures; Heterogeneous (hybrid)
+systems;rSoftware and its engineering → Process management;
+Additional Key Words and Phrases: Heterogeneous multi processor; scheduling; embedded systems; quality
+of service; big.LITTLE; task migration; dynamic voltage and frequency control
+ACM Reference Format:"

+000a83a533f9c945addce83e466e308df1ae79c5,Efficient max-margin multi-label classification with applications to zero-shot learning,"Mach Learn manuscript No.
+(will be inserted by the editor)
+Efficient Max-Margin Multi-Label Classification with
+Applications to Zero-Shot Learning
+Bharath Hariharan · S. V. N. Vishwanathan ·
+Manik Varma
+Received: 30 September 2010 / Accepted: date"

+004dc8de3a6832c8d4764144570dc122b5265ec5,Hyper-dimensional computing for a visual question-answering system that is trainable end-to-end,"Hyper-dimensional computing for a visual
+question-answering system that is trainable
+end-to-end
+Guglielmo Montone
+J.Kevin O’Regan
+Laboratoire Psychologie de la Perception
+Laboratoire Psychologie de la Perception
+Université Paris Descartes
+75006 Paris, France
+Université Paris Descartes
+75006 Paris, France
+Alexander V. Terekhov
+Laboratoire Psychologie de la Perception
+Université Paris Descartes
+75006 Paris, France"

+00fb2836068042c19b5197d0999e8e93b920eb9c,Genetic Algorithm for Weight Optimization in Descriptor based Face Recognition Methods,

+005c996a9059af96454c3d6f83338068d3608585,On Detection of Multiple Object Instances Using Hough Transforms,"On Detection of Multiple Object Instances using Hough Transforms
+Olga Barinova
+Moscow State University∗
+Victor Lempitsky
+University of Oxford∗
+Pushmeet Kohli
+Microsoft Research Cambridge"

+0033e0ce8720f913761f9edb9a6c378eed8366a8,Interactive Object Retrieval using Interpretable Visual Models,"UNIVERSIT´EPARIS-SUD11Facult´edessciencesd’OrsayN◦Ordre:2011PA112054PHDTHESISInteractiveObjectRetrievalusingInterpretableVisualModelsSubmittedforthedegreeof“docteurensciences”oftheUniversityParis-Sud11Speciality:ComputerScienceByAhmedRebaiMay2011INRIAParis-Rocquencourt,ImediaTeamThesiscommittee:Reviewers:FredStentiford-Prof.atUniversityCollegeLondon(UK)SylviePhilipp-Foliguet-Prof.atUniversit´eCergy/Pontoise(FR)Director:NozhaBoujemaa-DirectoroftheINRIA-SaclayCenter(FR)Advisor:AlexisJoly-ResearcheratINRIA-Rocquencourt(FR)Examinator:MichelCrucianu-Prof.atCNAM(FR)President:Fran¸coisYvon-Prof.atUniversit´eParis-Sud11(FR)Copyrightc(cid:13)2011AhmedRebaiAllrightsreserved."

+003afe78ec7989371f648fd8957a6ce79083cf11,SeaCLEF 2016: Object Proposal Classification for Fish Detection in Underwater Videos,"SeaCLEF 2016: Object proposal classification for
+fish detection in underwater videos
+Jonas J¨ager1,2, Erik Rodner2, Joachim Denzler2, Viviane Wolff1, and Klaus
+Fricke-Neuderth1
+Department of Electrical Engineering and Information Technology,
+Fulda University of Applied Sciences, Germany
+Computer Vision Group, Friedrich Schiller University Jena, Germany"

+00dfd58bbaff871603e4a8aa81e67915b0675aeb,Human Sensing Using Computer Vision for Personalized Smart Spaces,"013 IEEE 10th International Conference on Ubiquitous Intelligence & Computing and 2013 IEEE 10th International Conference
+on Autonomic & Trusted Computing
+Human Sensing using Computer Vision for
+Personalized Smart Spaces
+Dipak Surie, Saeed Partonia, Helena Lindgren
+User Interaction and Knowledge Modeling Group
+Dept. of Computing Science
+Umeå University, Sweden
+{dipak, mcs10spa,
+spaces
+everyday"

+008dafebbb27eb64a1af8ded8bfe2e7a04c1d703,CANDLE/Supervisor: A Workflow Framework for Machine Learning Applied to Cancer Research,"CANDLE/Supervisor: A Workflow Framework for
+Machine Learning Applied to Cancer Research
+Justin M. Wozniak, Rajeev Jain,
+Prasanna Balaprakash
+Mathematics & Computer Science
+Argonne National Laboratory
+Argonne, IL, USA
+Jamaludin Mohd-Yusof,
+Cristina Garcia Cardona
+Computer, Computational &
+Statistical Sciences
+Los Alamos National Laboratory
+Los Alamos, NM, USA
+Jonathan Ozik,
+Nicholson Collier
+Global Security Sciences
+Argonne National Laboratory
+Argonne, IL, USA
+Brian Van Essen
+Lawrence Livermore National"

+0077cd8f97cafd2b389783858a6e4ab7887b0b6b,Face Image Reconstruction from Deep Templates,"MAI et al.: ON THE RECONSTRUCTION OF DEEP FACE TEMPLATES
+On the Reconstruction of Deep Face Templates
+Guangcan Mai, Kai Cao, Pong C. Yuen, Senior Member, IEEE, and Anil K. Jain, Life Fellow, IEEE"

+00b03ee4a7e31a999715d7a0c31d283d646106fa,Multi-level Semantic Feature Augmentation for One-shot Learning,"Multi-level Semantic Feature Augmentation for
+One-shot Learning
+Zitian Chen, Yanwei Fu*, Yinda Zhang, Leonid Sigal"

+00d8f67ac0ea0bb2c9827b60e1f47c300346cd7a,Face recognition using color local binary pattern from mutually independent color channels,"Anbarjafari EURASIP Journal on Image and Video Processing 2013, 2013:6
+http://jivp.eurasipjournals.com/content/2013/1/6
+R ES EAR CH
+Open Access
+Face recognition using color local binary pattern
+from mutually independent color channels
+Gholamreza Anbarjafari"

+00214fe1319113e6649435cae386019235474789,Face Recognition using Distortion Models,"Bachelorarbeit im Fach Informatik
+Face Recognition using
+Distortion Models
+Mathematik, Informatik und Naturwissenschaften der
+RHEINISCH-WESTFÄLISCHEN TECHNISCHEN HOCHSCHULE AACHEN
+Der Fakultät für
+Lehrstuhl für Informatik VI
+Prof. Dr.-Ing. H. Ney
+vorgelegt von:
+Harald Hanselmann
+Matrikelnummer 252400
+Gutachter:
+Prof. Dr.-Ing. H. Ney
+Prof. Dr. B. Leibe
+Betreuer:
+Dipl.-Inform. Philippe Dreuw
+September 2009"

+0063b44da282eec78045ab59d2debbf61959a4a4,Improving person re-identification by viewpoint cues,"Improving Person Re-identification by Viewpoint Cues
+Sławomir B ˛ak
+Sofia Zaidenberg Bernard Boulay
+Francois Brémond
+INRIA Sophia Antipolis, STARS/Neosensys
+004, route des Lucioles, BP93
+06902 Sophia Antipolis Cedex - France"

+003b141fb02078a4b5d02f4f803001ce22d73ba7,Real-time 3d Multiple Human Tracking with Robustness Enhancement through Machine Learning,"REAL-TIME 3D MULTIPLE HUMAN TRACKING WITH
+ROBUSTNESS ENHANCEMENT THROUGH MACHINE LEARNING
+Keywords:
+Visual Tracking"

+004e3292885463f97a70e1f511dc476289451ed5,Quadruplet-Wise Image Similarity Learning,"Quadruplet-wise Image Similarity Learning
+Marc T. Law
+Nicolas Thome
+Matthieu Cord
+LIP6, UPMC - Sorbonne University, Paris, France
+{Marc.Law, Nicolas.Thome,"

+00d14af37bc75b6477b4846f6ab561cdc89c96a2,"UvA-DARE ( Digital Academic Repository ) Infants ’ Temperament and Mothers ’ , and Fathers ’ Depression Predict Infants ’ Attention to Objects Paired with Emotional","UvA-DARE (Digital Academic Repository)
+Infants’ Temperament and Mothers’, and Fathers’ Depression Predict Infants’ Attention
+to Objects Paired with Emotional Faces
+Aktar, E.; Mandell, D.J.; de Vente, W.; Majdandzic, M.; Raijmakers, M.E.J.; Bögels, S.M.
+Published in:
+Journal of Abnormal Child Psychology
+0.1007/s10802-015-0085-9
+Link to publication
+Citation for published version (APA):
+Aktar, E., Mandell, D. J., de Vente, W., Majdandži, M., Raijmakers, M. E. J., & Bögels, S. M. (2016). Infants’
+Temperament and Mothers’, and Fathers’ Depression Predict Infants’ Attention to Objects Paired with Emotional
+Faces. Journal of Abnormal Child Psychology, 44(5), 975-990. DOI: 10.1007/s10802-015-0085-9
+General rights
+It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s),
+other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons).
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+The Netherlands. You will be contacted as soon as possible."

+00433d2ad90b40bc5ad22a591aac0da68037003e,K-means Based Automatic Pests Detection and Classification for Pesticides Spraying,"(IJACSA) International Journal of Advanced Computer Science and Applications,
+Vol. 8 No. 11, 2017
+K-means Based Automatic Pests Detection and
+Classification for Pesticides Spraying
+Muhammad Hafeez Javed
+Foundation University Islamabad
+M Humair Noor
+Babar Yaqoob Khan
+Foundation University Islamabad
+Foundation University Islamabad
+Nazish Noor
+Foundation University Islamabad
+Tayyaba Arshad
+Foundation University Islamabad"

+00cb08dcef72bfaa1aab0664d34168615ac6a5cc,Amygdala Surface Modeling with Weighted Spherical Harmonics,"Amygdala Surface Modeling with
+Weighted Spherical Harmonics
+Moo K. Chung1,2, Brendon M. Nacewicz2, Shubing Wang1,
+Kim M. Dalton2, Seth Pollak3, and Richard J. Davidson2,3
+Department of Statistics, Biostatistics and Medical Informatics
+Waisman Laboratory for Brain Imaging and Behavior
+Department of Psychology and Psychiatry
+University of Wisconsin, Madison, WI 53706, USA"

+0079d56c8e183ef36f876b84327b97ee9454825b,Scene Parsing by Weakly Supervised Learning with Image Descriptions,"Hierarchical Scene Parsing by Weakly
+Supervised Learning with Image Descriptions
+Ruimao Zhang, Liang Lin, Guangrun Wang, Meng Wang, and Wangmeng Zuo"

+003846e4559fa32699f08ecd09de13ed5a4e92d2,Analysis of Brain Waves in Violent Images - Are Differences in Gender?,

+00f0ed04defec19b4843b5b16557d8d0ccc5bb42,Modeling Spatial and Temporal Cues for Multi-label Facial Action Unit Detection,

+005503ccf270890ea2582370feed4506f3785004,Characterizing the temporal dynamics of object recognition by deep neural networks: role of depth,"ioRxiv preprint first posted online Sep. 10, 2017;
+peer-reviewed) is the author/funder. All rights reserved. No reuse allowed without permission.
+http://dx.doi.org/10.1101/178541
+The copyright holder for this preprint (which was not
+Characterizing the temporal dynamics of object
+recognition by deep neural networks : role of depth
+Kandan Ramakrishnan1, Iris I.A. Groen2, Arnold W.M. Smeulders1,
+H. Steven Scholte*3, Sennay Ghebreab*1
+Institute of Informatics, University of Amsterdam.
+Laboratory of Brain and Cognition, National Institute of Health.
+Department of Psychology, University of Amsterdam.
+Keywords: deep neural network, ERP, architecture, number of layers"

+00d63b30e7e8383ea3dd2993499df70a51295d13,Exploiting structure in man-made environments,"Exploiting structure in man-made environments
+ALPER AYDEMIR
+Doctoral Thesis
+Stockholm, Sweden, 2012"

+0037bff7be6d463785d4e5b2671da664cd7ef746,Multiple Instance Metric Learning from Automatically Labeled Bags of Faces,"Author manuscript, published in ""European Conference on Computer Vision (ECCV '10) 6311 (2010) 634--647""
+DOI : 10.1007/978-3-642-15549-9_46"

+0014a057ebdeca672b1cdee8104cca4dc928ef3e,Training Deformable Part Models with Decorrelated Features,"Training deformable part models with decorrelated features
+Ross Girshick and Jitendra Malik
+UC Berkeley
+{rbg,"

+00b370765678c44acd5313f3946b2431890721a9,Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis,"Dynamic Scene Classification: Learning Motion Descriptors with Slow Features
+Analysis
+Christian Th´eriault, Nicolas Thome, Matthieu Cord
+UPMC-Sorbonne Universities, Paris, France"

+00e39fad9846084eb435b6cddd675ee11f2dfb90,Person Re-identification Using Haar-based and DCD-based Signature,"Person Re-identification Using Haar-based and
+DCD-based Signature
+Slawomir Bak, Etienne Corvee, François Bremond, Monique Thonnat
+To cite this version:
+Slawomir Bak, Etienne Corvee, François Bremond, Monique Thonnat. Person Re-identification Us-
+ing Haar-based and DCD-based Signature. 2nd Workshop on Activity Monitoring by Multi-Camera
+Surveillance Systems, AMMCSS 2010, in conjunction with 7th IEEE International Conference on Ad-
+vanced Video and Signal-Based Surveillance, AVSS - 2010, Aug 2010, Boston, United States. 2010.
+<inria-00496051>
+HAL Id: inria-00496051
+https://hal.inria.fr/inria-00496051
+Submitted on 29 Jun 2010
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents"

+006a9f68bcf6edca62d8750af55168971cf0890c,Dynamic Programming Bipartite Belief Propagation For Hyper Graph Matching,Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)

+001dc49f7f3348841b4086f966bfe4e9dfadf03e,Automatic image captioning using multitask learning,"Automatic image captioning using multi-task learning
+Anna Fariha"

+0029418d56d8fe71d1d45bdaad88e5cc75dc58e7,Pushing the “Speed Limit”: High-Accuracy US Traffic Sign Recognition With Convolutional Neural Networks,"Pushing the “Speed Limit”: High-Accuracy U.S.
+Traffic Sign Recognition with Convolutional Neural
+Networks
+Yuan Li, Andreas Møgelmose, and Mohan M. Trivedi"

+00d9d88bb1bdca35663946a76d807fff3dc1c15f,Subjects and Their Objects: Localizing Interactees for a Person-Centric View of Importance,"Subjects and Their Objects: Localizing Interactees for a
+Person-Centric View of Importance
+Chao-Yeh Chen · Kristen Grauman"

+00091891790ee77816ebd785d25900254e6986bd,Discriminative Robust Local Binary Pattern based Edge Texture Features for Object Recognition,"International Journal of Scientific Engineering and Research (IJSER)
+ISSN (Online): 2347-3878, Impact Factor (2014): 3.05
+www.ijser.in
+Discriminative Robust Local Binary Pattern based
+Edge Texture Features for Object Recognition
+Rasika Raikar1, Shivani Pandita2
+Dhole Patil College of Engineering, Wagholi, Pune, India
+Professor, Dhole Patil College of Engineering, Wagholi, Pune, India
+round
+each  point.  Various"

+00edd45d8f4fd75fc329d6a6fcc7d87108baa3a9,Distance Measures for Gabor Jets-Based Face Authentication: A Comparative Evaluation,"Distance Measures for Gabor Jets-based Face
+Authentication: A Comparative Evaluation
+Daniel Gonz´alez-Jim´enez1, Manuele Bicego2, J.W.H. Tangelder3, B.A.M
+Schouten3, Onkar Ambekar3, Jos´e Luis Alba-Castro1, Enrico Grosso2, Massimo
+Tistarelli4
+TSC Department, University of Vigo, Vigo (Spain)
+DEIR - University of Sassari, Sassari (Italy)
+CWI, Amsterdam (The Netherlands)
+DAP - University of Sassari, Alghero (Italy)"

+00a3cfe3ce35a7ffb8214f6db15366f4e79761e3,Using Kinect for real-time emotion recognition via facial expressions,"Qi-rong Mao, Xin-yu Pan, Yong-zhao Zhan, Xiang-jun Shen, 2015. Using
+Kinect for real-time emotion recognition via facial expressions. Frontiers of
+Information Technology & Electronic Engineering, 16(4):272-282.
+[doi:10.1631/FITEE.1400209]
+Using Kinect for real-time emotion
+recognition via facial expressions
+Key words: Kinect, Emotion recognition, Facial expression, Real-time
+lassification, Fusion algorithm, Support vector machine (SVM)
+Contact: Qi-rong Mao
+E-mail:
+ORCID: http://orcid.org/0000-0002-5021-9057
+Front Inform Technol & Electron Eng"

+004a1bb1a2c93b4f379468cca6b6cfc6d8746cc4,Balanced k-Means and Min-Cut Clustering,"Balanced k-Means and Min-Cut Clustering
+Xiaojun Chang, Feiping Nie, Zhigang Ma, and Yi Yang"

+0089a590154694e0de340f357a022f6a38d60946,Speeding-up Object Detection Training for Robotics with FALKON,"Speeding-up Object Detection Training for Robotics with FALKON
+Elisa Maiettini1,2,3, Giulia Pasquale1,2, Lorenzo Rosasco2,3 and Lorenzo Natale1"

+00d94b35ffd6cabfb70b9a1d220b6823ae9154ee,Discriminative Bayesian Dictionary Learning for Classification,"Discriminative Bayesian Dictionary Learning
+for Classification
+Naveed Akhtar, Faisal Shafait, and Ajmal Mian"

+002d1619748a99aa683b5c30b7eafebdfe6adfc4,Nearest feature line embedding for face hallucination,"Nearest feature line embedding for face
+hallucination
+Junjun Jiang, Ruimin Hu, Zhen Han and Tao Lu
+A new manifold learning method, called nearest feature line (NFL)
+embedding, for face hallucination is proposed. While many manifold
+learning based face hallucination algorithms have been proposed in
+recent years, most of them apply the conventional nearest neighbour
+metric to derive the subspace and may not effectively characterise
+the geometrical
+information of the samples, especially when the
+number of training samples is limited. This reported work proposes
+using the NFL metric to define the neighbourhood relations between
+face samples to improve the expressing power of the given training
+samples for reconstruction. The algorithm preserves the linear relation-
+ship in a smaller local space than traditional manifold learning based
+methods, which better reflects the nature of manifold learning theory.
+Experimental results demonstrate that
+the method is effective at
+preserving detailed visual information.
+Introduction: Face super-resolution (SR), or face hallucination, refers to"

+00f17fca3cf3ab4262edde3626e6230a89ff1a1f,Human Pose Estimation with Iterative Error Feedback,"Human Pose Estimation with Iterative Error
+Feedback
+Jo˜ao Carreira
+UC Berkeley
+Pulkit Agrawal
+UC Berkeley
+Katerina Fragkiadaki
+UC Berkeley
+Jitendra Malik
+UC Berkeley"

+006f283a50d325840433f4cf6d15876d475bba77,Preserving Structure in Model-Free Tracking,"Preserving Structure in Model-Free Tracking
+Lu Zhang and Laurens van der Maaten"

+00d931eccab929be33caea207547989ae7c1ef39,The Natural Input Memory Model,"The Natural Input Memory Model
+Joyca P.W. Lacroix
+Department of Computer Science, IKAT, Universiteit Maastricht, St. Jacobsstraat 6, 6211 LB Maastricht, The Netherlands
+Department of Psychology, Universiteit van Amsterdam, Roeterstraat 15, 1018 WB Amsterdam, The Netherlands
+Jaap M.J. Murre
+Department of Computer Science, IKAT, Universiteit Maastricht, St. Jacobsstraat 6, 6211 LB Maastricht, The Netherlands
+Eric O. Postma
+H. Jaap van den Herik"

+00796052277d41e2bb3a1284d445c1747aed295f,Performance and Energy Consumption Characterization and Modeling of Video Decoding on Multi-core Heterogenous SoC and their Applications,"Performance and Energy Consumption Characterization
+nd Modeling of Video Decoding on Multi-core
+Heterogenous SoC and their Applications
+Yahia Benmoussa
+To cite this version:
+Yahia Benmoussa. Performance and Energy Consumption Characterization and Modeling of
+Video Decoding on Multi-core Heterogenous SoC and their Applications. Multimedia [cs.MM].
+Universit´e de Bretagne Occidentale, 2015. English. <tel-01313326>
+HAL Id: tel-01313326
+https://hal.archives-ouvertes.fr/tel-01313326
+Submitted on 9 May 2016
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destin´ee au d´epˆot et `a la diffusion de documents
+scientifiques de niveau recherche, publi´es ou non,"

+0052de4885916cf6949a6904d02336e59d98544c,Generalized Low Rank Approximations of Matrices,"005 Springer Science + Business Media, Inc. Manufactured in The Netherlands.
+DOI: 10.1007/s10994-005-3561-6
+Generalized Low Rank Approximations of Matrices
+JIEPING YE
+Department of Computer Science & Engineering,University of Minnesota-Twin Cities, Minneapolis,
+MN 55455, USA
+Editor:
+Peter Flach
+Published online: 12 August 2005"

+00319cd17cebae5e1095a248260bd7be15781362,A Dataset for Improved RGBD-Based Object Detection and Pose Estimation for Warehouse Pick-and-Place,"A Dataset for Improved RGBD-based Object
+Detection and Pose Estimation for Warehouse
+Pick-and-Place
+Colin Rennie1, Rahul Shome1, Kostas E. Bekris1, and Alberto F. De Souza2"

+0041afaf2b17f1a33bd514db27b17ce34670fdb8,Deep Reinforcement Learning-Based Image Captioning with Embedding Reward,"Deep Reinforcement Learning-based Image Captioning with Embedding Reward
+Zhou Ren1
+Xiaoyu Wang1
+Ning Zhang1
+Xutao Lv1
+Li-Jia Li2∗
+{zhou.ren, xiaoyu.wang, ning.zhang,
+Snap Inc.
+Google Inc."

+006350ae14784bb929b6a749d4e5c265a10168b7,Abstract Eye Detection Using Discriminatory Features and an Efficient Support Vector Machine Eye Detection Using Discriminatory Features and an Efficient Support Vector Machine Eye Detection Using Discriminatory Features and an Efficient Support Vector Machine,"Copyright Warning & Restrictions
+The copyright law of the United States (Title 17, United
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+6ef0b43cf897f527540c29cae0618aabb7329072,Parallel Algorithms for Nearest Neighbor Search Problems in High Dimensions,"PARALLEL ALGORITHMS FOR NEAREST NEIGHBOR SEARCH
+PROBLEMS IN HIGH DIMENSIONS.
+BO XIAO∗ AND GEORGE BIROS†"

+6e396401b3950eccdaf8265aeae8a4f0da8965a0,Obstacle Detection Quality as a Problem-Oriented Approach to Stereo Vision Algorithms Estimation in Road Situation Analysis,"Obstacle Detection Quality as a Problem-Oriented
+Approach to Stereo Vision Algorithms Estimation
+in Road Situation Analysis
+A.A. Smagina, D.A. Shepelev, E.I. Ershov, A.S. Grigoryev
+Institute for Information Transmission Problems (Kharkevich Institute) –IITP RAS,
+Bolshoy Karetny per. 19, build.1, Moscow, Russia, 127051
+E-mail:"

+6e99832e265999194aa88958d892db62afbd7ac9,Is Combinational Strategy Better For Image Memorability Prediction,"Is Combinational Strategy Better For Image
+Memorability Prediction
+Wenting Zhu"

+6e198f6cc4199e1c4173944e3df6f39a302cf787,MORPH-II: Inconsistencies and Cleaning Whitepaper,"MORPH-II: Inconsistencies and Cleaning Whitepaper
+Participants: G. Bingham, B. Yip, M. Ferguson, and C. Nansalo
+Mentors: C. Chen, Y. Wang, and T. Kling
+NSF-REU Site at UNC Wilmington, Summer 2017"

+6e0288b874320b1b6461016fde8b215c3ba46b90,Recognising activities by jointly modelling actions and their effects,"This thesis has been submitted in fulfilment of the requirements for a postgraduate degree
+(e.g. PhD, MPhil, DClinPsychol) at the University of Edinburgh. Please note the following
+terms and conditions of use:
+This work is protected by copyright and other intellectual property rights, which are
+retained by the thesis author, unless otherwise stated.
+A copy can be downloaded for personal non-commercial research or study, without
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+6e82ce9897093ce4f5fa795887273992489c380d,Face recognition using Eigensurface on Kinect depth-maps,"Int'l Conf. IP, Comp. Vision, and Pattern Recognition |  IPCV'16  |
+Face recognition using Eigensurface on Kinect depth-maps
+Marcelo Romero1, Cesar Flores1, Vianney Muñoz1 and Luis Carlos Altamirano2
+Universidad Autónoma del Estado de México1 and Benemérita Universidad Autónoma de Puebla2"

+6e297f10a02580dfc74595ff8d7db34020002ec4,Correlation Net : spatio temporal multimodal deep learning,"learning
+Novanto Yudistira, Takio Kurita, Member, IEEE,"

+6e35585eb37ee8a1de60a10a56a3183af480e214,"The YLI-MED Corpus: Characteristics, Procedures, and Plans",

+6e7cfcefe82471a6aca78b59be0285467ce37b8b,Déjà Vu: an empirical evaluation of the memorization properties of ConvNets,"D´ej`a Vu: an empirical evaluation of the
+memorization properties of ConvNets
+Alexandre Sablayrolles†,(cid:63), Matthijs Douze†, Cordelia Schmid(cid:63),
+nd Herv´e J´egou†
+Facebook AI Research
+(cid:63)Inria
+September 19, 2018"

+6eba25166fe461dc388805cc2452d49f5d1cdadd,"ALBANIE, VEDALDI: LEARNING GRIMACES BY WATCHING TV 1 Learning Grimaces by Watching TV","Pages 122.1-122.12
+DOI: https://dx.doi.org/10.5244/C.30.122"

+6e8a81d452a91f5231443ac83e4c0a0db4579974,Illumination robust face representation based on intrinsic geometrical information,"Illumination robust face representation based on intrinsic geometrical
+information
+Soyel, H; Ozmen, B; McOwan, PW
+This is a pre-copyedited, author-produced PDF of an article accepted for publication in IET
+Conference on Image Processing (IPR 2012). The version of record is available
+http://ieeexplore.ieee.org/document/6290632/?arnumber=6290632&tag=1
+For additional information about this publication click this link.
+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
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+opyrighted component of this work in other works. The"

+6ee1f57cbf7daa37576efca7e7d24040a5c94ee2,Multimodal Neural Network for Overhead Person Re-Identification,"Aalborg Universitet
+Multimodal Neural Network for Overhead Person Re-identification
+Lejbølle, Aske Rasch; Nasrollahi, Kamal; Krogh, Benjamin; Moeslund, Thomas B.
+Published in:
+6th International Conference of the Biometrics Special Interest Group
+DOI (link to publication from Publisher):
+0.23919/BIOSIG.2017.8053514
+Publication date:
+Document Version
+Accepted author manuscript, peer reviewed version
+Link to publication from Aalborg University
+Citation for published version (APA):
+Lejbølle, A. R., Nasrollahi, K., Krogh, B., & Moeslund, T. B. (2017). Multimodal Neural Network for Overhead
+Person Re-identification. In 16th International Conference of the Biometrics Special Interest Group IEEE.
+https://doi.org/10.23919/BIOSIG.2017.8053514
+General rights
+Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners
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+? Users may download and print one copy of any publication from the public portal for the purpose of private study or research.
+? You may not further distribute the material or use it for any profit-making activity or commercial gain"

+6ecd4025b7b5f4894c990614a9a65e3a1ac347b2,Automatic Naming of Character using Video Streaming for Face Recognition with Graph Matching,"International Journal on Recent and Innovation Trends in Computing and Communication
+ISSN: 2321-8169
+Volume: 2 Issue: 5
+1275– 1281
+_______________________________________________________________________________________________
+Automatic Naming of Character using Video Streaming for Face
+Recognition with Graph Matching
+Nivedita.R.Pandey
+Ranjan.P.Dahake
+PG Student at MET’s IOE Bhujbal Knowledge City,
+PG Student at MET’s IOE Bhujbal Knowledge City,
+Nasik, Maharashtra, India,
+Nasik, Maharashtra, India,"

+6e7b2afb4daf1fe50a62faf75018ff81c24ee526,Submitted to CVPR ' 99 Discriminant Analysis based Feature ExtractionW,"SubmittedtoCVPR'		DiscriminantAnalysisbasedFeatureExtraction
+W.Zhao
+CenterforAutomationResearch
+UniversityofMaryland
+CollegePark,MD
+nantAnalysishaveachievedquiteasuccessinprac-"

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

+6e1b85aabb132ed741381fdf00909475d16cd3ba,"Motor, emotional and cognitive empathic abilities in children with autism and conduct disorder","Motor, Emotional and Cognitive Empathic Abilities
+in Children with Autism and Conduct Disorder
+Danielle M.A. Bons1,2
++31 (0)488 – 469 611
+Nanda N.J. Rommelse1,2
++31 (0)24 351 2222
+Floor E. Scheepers1
+Jan K. Buitelaar1,2
+Karakter child- and adolescent psychiatry
+University Centre Nijmegen, Zetten-Tiel
+Department of Psychiatry UMC St. Radboud
+P.O. Box 9101, 6500HB Nijmegen, The
+P.O. Box 104, 6670AC Zetten, The Netherlands
+the  studies"

+6ef1996563835b4dfb7fda1d14abe01c8bd24a05,Nonparametric Part Transfer for Fine-Grained Recognition,"Nonparametric Part Transfer for Fine-grained Recognition
+Christoph G¨oring, Erik Rodner, Alexander Freytag, and Joachim Denzler∗
+Computer Vision Group, Friedrich Schiller University Jena
+www.inf-cv.uni-jena.de"

+6e75fcf384b31ea2108a81d868fbb886f39cd188,Sparse Coding on Symmetric Positive Definite Manifolds Using Bregman Divergences,"Sparse Coding on Symmetric Positive Definite Manifolds
+using Bregman Divergences
+Mehrtash Harandi, Richard Hartley, Brian Lovell, Conrad Sanderson"

+6e80caed3f2ac86db775bd5e7d64925b00f1a0ca,Social interaction contexts bias the perceived expressions of interactants.,"City Research Online
+City, University of London Institutional Repository
+Citation: Gray, K., Barber, L., Murphy, J. & Cook, R. (2017). Social interaction contexts
+0.1037/emo0000257
+This is the accepted version of the paper.
+This version of the publication may differ from the final published
+version.
+Permanent repository link:  http://openaccess.city.ac.uk/16315/
+Link to published version: http://dx.doi.org/10.1037/emo0000257
+Copyright and reuse: City Research Online aims to make research
+outputs of City, University of London available to a wider audience.
+Copyright and Moral Rights remain with the author(s) and/or copyright
+holders. URLs from City Research Online may be freely distributed and
+linked to.
+City Research Online:            http://openaccess.city.ac.uk/"

+6e32c368a6157fb911c9363dc3e967a7fb2ad9f7,Hybrid Stochastic / Deterministic Optimization for Tracking Sports Players and Pedestrians,"Hybrid Stochastic / Deterministic Optimization
+for Tracking Sports Players and Pedestrians(cid:2)
+Robert T. Collins1 and Peter Carr2
+The Pennsylvania State University, USA
+Disney Research Pittsburgh, USA"

+6e44ddb54edbb80d5bb8f2ca3b36e40c486b9daf,Evolutionary 3D Mapping,"Evolutionary 3D Mapping Using the GPU
+Calculating the psi similarity function for 2D images
+Diana Cristina Albu
+May 7, 2007
+Submitted to the School of Engineering and Sciences
+in partial fulfillment of the requirements for the degree of
+Bachelor of Science in Electrical Engineering and Computer Science
+Jacobs University Bremen
+Supervisor: Andreas Birk"

+6e8c3b7d25e6530a631ea01fbbb93ac1e8b69d2f,"Deep Episodic Memory: Encoding, Recalling, and Predicting Episodic Experiences for Robot Action Execution","Deep Episodic Memory: Encoding, Recalling, and Predicting
+Episodic Experiences for Robot Action Execution
+Jonas Rothfuss∗†, Fabio Ferreira∗†, Eren Erdal Aksoy ‡, You Zhou† and Tamim Asfour†"

+6e7d799497b94954dc4232d840628c3a00263e42,Deep Multimodal Pain Recognition: A Database and Comparision of Spatio-Temporal Visual Modalities,"Aalborg Universitet
+Deep Multimodal Pain Recognition: A Database and Comparison of Spatio-Temporal
+Visual Modalities
+Haque, Mohammad Ahsanul; Nasrollahi, Kamal; Moeslund, Thomas B.; B. Bautista, Ruben;
+Laursen, Christian B.; Escalera, Sergio; Irani, Ramin; Andersen, Ole Kæseler; Spaich, Erika
+Geraldina; Kulkarni, Kaustubh; Bellantonio, Marco; Anbarjafari, Gholamreza; Noroozi,
+Fatemeh
+Published in:
+Proc. of the 13th IEEE Conf. on Automatic Face and Gesture Recognition
+Publication date:
+Link to publication from Aalborg University
+Citation for published version (APA):
+Haque, M. A., Nasrollahi, K., Moeslund, T. B., B. Bautista, R., Laursen, C. B., Escalera, S., ... Noroozi, F. (2018).
+Deep Multimodal Pain Recognition: A Database and Comparison of Spatio-Temporal Visual Modalities. In Proc.
+of the 13th IEEE Conf. on Automatic Face and Gesture Recognition (pp. 1). IEEE.
+General rights
+Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners
+nd it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.
+? Users may download and print one copy of any publication from the public portal for the purpose of private study or research.
+? You may not further distribute the material or use it for any profit-making activity or commercial gain"

+6e911227e893d0eecb363015754824bf4366bdb7,Wasserstein Divergence for GANs,"Wasserstein Divergence for GANs
+Jiqing Wu1, Zhiwu Huang1, Janine Thoma1, Dinesh Acharya1, and
+Luc Van Gool1,2
+Computer Vision Lab, ETH Zurich, Switzerland
+VISICS, KU Leuven, Belgium"

+6e885d831568520aa95f523f625623e46578efd0,Camera Selection for Adaptive Human-Computer Interface,"JOURNAL OF LATEX CLASS FILES, VOL. 11, NO. 4, DECEMBER 2012
+Camera Selection for Adaptive
+Human-Computer Interface
+Niki Martinel Student Member, IEEE, Christian Micheloni, Member, IEEE,
+Claudio Piciarelli, Member, IEEE and Gian Luca Foresti, Senior Member, IEEE"

+6eb7ae81554ad4db92ee6b578f47be659c8b9cbd,Audio phrases for audio event recognition,"AUDIO PHRASES FOR AUDIO EVENT RECOGNITION
+Huy Phan(cid:63)†, Lars Hertel(cid:63), Marco Maass(cid:63), Radoslaw Mazur(cid:63), and Alfred Mertins(cid:63)
+Graduate School for Computing in Medicine and Life Sciences, University of L¨ubeck, Germany
+(cid:63)Institute for Signal Processing, University of L¨ubeck, Germany
+Email: {phan, hertel, maass, mazur,"

+6ee8a94ccba10062172e5b31ee097c846821a822,How to solve classification and regression problems on high-dimensional data with a supervised extension of slow feature analysis,"Submitted 3/13; Revised 10/13; Published 12/13
+How to Solve Classification and Regression Problems on
+High-Dimensional Data with a Supervised
+Extension of Slow Feature Analysis
+Alberto N. Escalante-B.
+Laurenz Wiskott
+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,"

+6ed559a0d04e7d4185eeea43f77e372483982e4b,A Review Paper on Player Tracking and Automated Analysis in Sports Videos,"International Journal of Emerging Technology and Advanced Engineering
+Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 5, Issue 6, June 2015)
+A Review Paper on Player Tracking and Automated Analysis in
+Sports Videos
+Nikhil M.1, Sreejith S.2
+,2Department of ECE, Government College of Engineering Kannur, kerala, India"

+6ee3fbc4768f578601d42b1596aaf2b0cfa1d40a,Human Detection and Identification by Robots Using Thermal and Visual Information in Domestic Environments,"J Intell Robot Syst (2012) 66:223–243
+DOI 10.1007/s10846-011-9612-2
+Human Detection and Identification by Robots
+Using Thermal and Visual Information
+in Domestic Environments
+Mauricio Correa · Gabriel Hermosilla ·
+Rodrigo Verschae · Javier Ruiz-del-Solar
+Received: 11 December 2010 / Accepted: 30 May 2011 / Published online: 12 July 2011
+© Springer Science+Business Media B.V. 2011"

+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
+Naveed AHMED
+Master's Thesis
+Department of Software Engineering
+Advisor: Prof. Dr. Asaf VAROL
+JULY-2014"

+6e74a055a70c69c287a34d86ce8b159456cf4420,Pose Recognition for Tracker Initialization Using 3 D Models,"Institutionen för systemteknik
+Department of Electrical Engineering
+Examensarbete
+Pose Recognition for Tracker Initialization Using
+D Models
+Examensarbete utfört i Bildbehandling
+vid Tekniska högskolan i Linköping
+Martin Berg
+LiTH-ISY-EX--07/4076--SE
+Linköping 2008
+Department of Electrical Engineering
+Linköpings universitet
+SE-581 83 Linköping, Sweden
+Linköpings tekniska högskola
+Linköpings universitet
+581 83 Linköping"

+6e0a05d87b3cc7e16b4b2870ca24cf5e806c0a94,Random Graphs for Structure Discovery in High-dimensional Data,"RANDOM GRAPHS FOR STRUCTURE
+DISCOVERY IN HIGH-DIMENSIONAL DATA
+Jos¶e Ant¶onio O. Costa
+A dissertation submitted in partial fulflllment
+of the requirements for the degree of
+Doctor of Philosophy
+(Electrical Engineering: Systems)
+in The University of Michigan
+Doctoral Committee:
+Professor Alfred O. Hero III, Chair
+Professor Jefirey A. Fessler
+Professor Susan A. Murphy
+Professor David L. Neuhofi"

+6e1802874ead801a7e1072aa870681aa2f555f35,Exploring Feature Descritors for Face Recognition,"­4244­0728­1/07/$20.00 ©2007 IEEE
+I ­ 629
+ICASSP 2007
+*22+),)164,7+616DAIK??AIIB=B=?AHA?CEJE=CHEJDCHA=JOHAEAI.EIDAHB=?A -*/ 4A?AJO?=*E=HO2=JJAH*22+),)"

+6ed22b934e382c6f72402747d51aa50994cfd97b,Customized expression recognition for performance-driven cutout character animation,"Customized Expression Recognition for Performance-Driven
+Cutout Character Animation
+Xiang Yu†
+NEC Laboratories America
+Jianchao Yang‡ Wilmot Li§
+Snapchat"

+6e261b9e539ecd03d76063f893d59c6eafb6ed43,On the Use of External Face Features for Identity Verification,"On the Use of External Face Features for
+Identity Verification
+`Agata Lapedriza1, David Masip2 and Jordi Vitri`a1
+Computer Vision Center (CVC), Computer Science Dept.
+Universitat Aut`onoma de Barcelona
+Bellaterra, Spain, 08193.
+{agata,
+Department of Applied Mathematics and Analysis (MAiA)
+University of Barcelona (UB)
+Edifici Hist`oric Gran Via de les Corts Catalanes 585, Barcelona 08007, Spain."

+6ee5205408fc6db03460c05765ae0f21a6eb9552,A literature review on recent multi-object tracking methods based on HMM and particle filter,"IOSR Journal of Computer Engineering (IOSR-JCE)
+e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 16, Issue 2, Ver. VII (Mar-Apr. 2014), PP 05-07
+www.iosrjournals.org
+A literature review on recent multi-object tracking methods
+ased on HMM and particle filter
+Kalyani Ahire1, Prof.P.S Mohod2
+Department of Computer Science & Engineering,, G.H.R.I.E.T.W.,RashtrasantTukdojiMaharaj Nagpur
+University Nagpur, India"

+6e93fd7400585f5df57b5343699cb7cda20cfcc2,Comparing a novel model based on the transferable belief model with humans during the recognition of partially occluded facial expressions.,"http://journalofvision.org/9/2/22/
+Comparing a novel model based on the transferable
+elief model with humans during the recognition of
+partially occluded facial expressions
+Zakia Hammal
+Martin Arguin
+Frédéric Gosselin
+Département de Psychologie, Université de Montréal,
+Canada
+Département de Psychologie, Université de Montréal,
+Canada
+Département de Psychologie, Université de Montréal,
+Canada
+Humans recognize basic facial expressions effortlessly. Yet, despite a considerable amount of research, this task remains
+elusive for computer vision systems. Here, we compared the behavior of one of the best computer models of facial
+expression recognition (Z. Hammal, L. Couvreur, A. Caplier, & M. Rombaut, 2007) with the behavior of human observers
+during the M. Smith, G. Cottrell, F. Gosselin, and P. G. Schyns (2005) facial expression recognition task performed on
+stimuli randomly sampled using Gaussian apertures. The modelVwhich we had to significantly modify in order to give the
+bility to deal with partially occluded stimuliVclassifies the six basic facial expressions (Happiness, Fear, Sadness,
+Surprise, Anger, and Disgust) plus Neutral from static images based on the permanent facial feature deformations and the"

+6e604946a0a51911db0e887378ba1ae103dcfb9e,Detection and Classification of a Moving Object in a Video Stream,"Proc. of the Intl. Conf. on Advances in Computing and Information Technology-- ACIT 2014
+Copyright © Institute of Research Engineers and Doctors. All rights reserved.
+ISBN: 978-981-07-8859-9 doi: 10.3850/ 978-981-07-8859-9_23
+Detection and Classification of a Moving Object
+in a Video Stream
+Asim R. Aldhaheri and Eran A. Edirisinghe"

+6edb41364802b0fdd1e3e98d644fe78b1ecbbe45,Understanding Image and Text Simultaneously: a Dual Vision-Language Machine Comprehension Task,"Understanding Image and Text Simultaneously: a Dual Vision-Language
+Machine Comprehension Task
+Nan Ding
+Google
+Sebastian Goodman
+Google
+Fei Sha
+Google
+Radu Soricut
+Google"

+9ab463d117219ed51f602ff0ddbd3414217e3166,Weighted Transmedia Relevance Feedback for Image Retrieval and Auto-annotation,"Weighted Transmedia
+Relevance Feedback for
+Image Retrieval and
+Auto-annotation
+Thomas Mensink, Jakob Verbeek, Gabriela Csurka
+TECHNICAL
+REPORT
+N° 0415
+December 2011
+Project-Teams LEAR - INRIA
+nd TVPA - XRCE"

+9af9fa7727df11b86301a252db8a916c3a516a8d,VIBIKNet: Visual Bidirectional Kernelized Network for Visual Question Answering,"VIBIKNet: Visual Bidirectional Kernelized
+Network for Visual Question Answering
+Marc Bola˜nos1,2, ´Alvaro Peris3, Francisco Casacuberta3, Petia Radeva1,2
+Universitat de Barcelona, Barcelona, Spain,
+Computer Vision Center, Bellaterra, Spain,
+PRHLT Research Center, Universitat Polit`ecnica de Val`encia, Val`encia, Spain,"

+9ac82909d76b4c902e5dde5838130de6ce838c16,Recognizing Facial Expressions Automatically from Video,"Recognizing Facial Expressions Automatically
+from Video
+Caifeng Shan and Ralph Braspenning
+Introduction
+Facial expressions, resulting from movements of the facial muscles, are the face
+hanges in response to a person’s internal emotional states, intentions, or social
+ommunications. There is a considerable history associated with the study on fa-
+ial expressions. Darwin (1872) was the first to describe in details the specific fa-
+ial expressions associated with emotions in animals and humans, who argued that
+ll mammals show emotions reliably in their faces. Since that, facial expression
+nalysis has been a area of great research interest for behavioral scientists (Ekman,
+Friesen, and Hager, 2002). Psychological studies (Mehrabian, 1968; Ambady and
+Rosenthal, 1992) suggest that facial expressions, as the main mode for non-verbal
+ommunication, play a vital role in human face-to-face communication. For illus-
+tration, we show some examples of facial expressions in Fig. 1.
+Computer recognition of facial expressions has many important applications in
+intelligent human-computer interaction, computer animation, surveillance and se-
+urity, medical diagnosis, law enforcement, and awareness systems (Shan, 2007).
+Therefore, it has been an active research topic in multiple disciplines such as psy-
+hology, cognitive science, human-computer interaction, and pattern recognition."

+9a6b80f8ea7e5f24e3da05a5151ba8b42494962f,Leveraging multiple tasks to regularize fine-grained classification,"Cancún Center, Cancún, México, December 4-8, 2016
+978-1-5090-4847-2/16/$31.00 ©2016 IEEE
+KingfisherRingedKingfisherWhite Breasted KingfisherMegaceryleCeryleChloroceryleHalcyonAlcedinidaeHalcyonidaeFig.1.Leveragingthetaxonomicontologyofbirdsforfinegrainedrecogni-tion.Fromtoptobottom,wehavefamily,orderandspeciesforfiveclassesofkingfishersintheCUB-200-2011dataset[6].Observehowidentifyingthefamilyorordercanhelpidentifyingtheclass,e.g.incaseofringedkingfisherandgreenkingfisher.Bestviewedenlarged,incolor.differencesandstrikinginter-classsimilarities.Mostmodernmethodsforfinegrainedrecognitionrelyonacombinationoflocalizingdiscriminativeregionsandlearningcorrespondingdiscriminativefeatures.Thisinturnrequiresstrongsuper-visionsuchaskeypointorattributeannotations,whichareexpensiveanddifficulttoobtainatscale.Ontheotherhand,sincefinegrainedrecognitiondealswithsubordinate-levelclassification,thereexistsanimpliedrelationshipsamonglabels.Theserelationshipsmaybetaxonomical(suchassuperclasses)orsemantic(suchasattributes)innature.Theontol-ogyobtainedinthismannercontainsrichlatentknowledgeaboutfinerdifferencesbetweenclassesthatcanbeexploitedforvisualclassification.Themodelweproposeconsistsofasingledeepconvolutionalneuralnetwork,witheachleveloftheontologygivingrisetoanadditionalsetoflabelsfortheinputimages.Theseadditionallabelsareusedasauxiliarytasksforamulti-tasknetwork,whichcanbetrainedend-to-endusingasimpleweightedobjectivefunction.Wealsoproposeanovelmethodtodynamicallyupdatethelearningrates(hereforthreferredtoasthetaskcoefficients)foreachtaskinthemulti-tasknetwork,basedonitsrelatednesstotheprimarytask.Inthiswork,weanalyzetheutilityofjointlylearningmultiplerelated/auxiliarytasksthatcouldregularizeeachothertopreventover-fitting,whileensuringthatthenetworkretainsitsdiscriminativecapability.Muchlikedropoutisbaggingtakentotheextreme,multi-tasklearningisanalogoustoboosting,ifeachtaskisconsideredaweaklearner.Wenotethatourmodelcanbepluggedintoorusedinconjunctionwithmorecomplexmulti-stagepipelinemethodssuchas[7]–[10]"

+9ac15845defcd0d6b611ecd609c740d41f0c341d,Robust Color-based Vision for Mobile Robots,"Copyright
+Juhyun Lee"

+9af1cf562377b307580ca214ecd2c556e20df000,International Journal of Advanced Studies in Computer Science and Engineering,"Feb. 28
+International Journal of Advanced Studies in Computer Science and Engineering
+IJASCSE, Volume 4, Issue 2, 2015
+Video-Based Facial Expression Recognition
+Using Local Directional Binary Pattern
+Sahar Hooshmand, Ali Jamali Avilaq, Amir Hossein Rezaie
+Electrical Engineering Dept., AmirKabir Univarsity of Technology
+Tehran, Iran"

+9a9af8a5b6939a1da9936608fbf071f852eca7e1,Deep Part Features Learning by a Normalised Double-Margin-Based Contrastive Loss Function for Person Re-Identification,

+9a23a0402ae68cc6ea2fe0092b6ec2d40f667adb,High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs,"High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
+Ting-Chun Wang1 Ming-Yu Liu1
+Jun-Yan Zhu2 Andrew Tao1
+Jan Kautz1 Bryan Catanzaro1
+NVIDIA Corporation
+UC Berkeley
+Figure 1: We propose a generative adversarial framework for synthesizing 2048 × 1024 images from semantic label maps
+(lower left corner in (a)). Compared to previous work [5], our results express more natural textures and details. (b) We can
+hange labels in the original label map to create new scenes, like replacing trees with buildings. (c) Our framework also
+llows a user to edit the appearance of individual objects in the scene, e.g. changing the color of a car or the texture of a road.
+Please visit our website for more side-by-side comparisons as well as interactive editing demos."

+9ad27106b8e0cf14e8e2814dc318142138d5527b,Camera Style Adaptation for Person Re-identification,"Camera 6Style Transfer(a)  Example images under two cameras from Market-1501(b)  Examples of camera-aware style transfer between two camerasrealtransferredrealtransferredFigure1.(a)ExampleimagesfromMarket-1501[42].(b)Exam-plesofcamera-awarestyletransferbetweentwocamerasusingourmethod.Imagesinthesamecolumnrepresentthesameperson.ancepropertyunderdifferentcameras.Examplesintradi-tionalapproachesincludeKISSME[16],XQDA[20],DNS[39],etc.Examplesindeeprepresentationlearningmeth-odsincludeIDE[43],SVDNet[29],TripletNet[11],etc.Comparingtopreviousmethods,thispaperresortstoanexplicitstrategyfromtheviewofcamerastyleadapta-tion.Wearemostlymotivatedbytheneedforlargedatavolumeindeeplearningbasedpersonre-ID.Tolearnrichfeatureswhicharerobusttocameravariations,annotatinglarge-scaledatasetsisusefulbutprohibitivelyexpensive.Nevertheless,ifwecanaddmoresamplestothetrainingsetthatareawareofthestyledifferencesbetweencameras,weareableto1)addressthedatascarcityprobleminpersonre-IDand2)learninvariantfeaturesacrossdifferentcameras.Preferably,thisprocessshouldnotcostanymorehumanla-beling,sothatthebudgetiskeptlow.Basedontheabovediscussions,weproposeacam-erastyle(CamStyle)adaptationmethodtoregularizeCNNtrainingforpersonre-ID.Initsvanillaversion,welearnimage-imagetranslationmodelsforeachcamerapairwithCycleGAN[51].WiththelearnedCycleGANmodel,foratrainingimagecapturedbyacertaincamera,wecangener-"

+9a7784eea6bfa62bf2834ee0b87a3cdda46006f2,Digital Comics Image Indexing Based on Deep Learning,"Article
+Digital Comics Image Indexing Based on
+Deep Learning
+Nhu-Van Nguyen * ID , Christophe Rigaud ID and Jean-Christophe Burie ID
+Lab L3I, University of La Rochelle, 17000 La Rochelle, France; (C.R.);
+(J.-C.B.)
+* Correspondence:
+Received: 30 April 2018; Accepted: 27 June 2018; Published: 2 July 2018"

+9a9a888bcce37e582b8a5b5f12f662e487443e5c,Cascaded Pyramid Network for Multi-Person Pose Estimation,"Cascaded Pyramid Network for Multi-Person Pose Estimation
+Yilun Chen∗ Zhicheng Wang∗ Yuxiang Peng1
+Zhiqiang Zhang2 Gang Yu
+Jian Sun
+Megvii Inc. (Face++), {chenyilun, wangzhicheng, pyx, zhangzhiqiang, yugang,
+Tsinghua University 2HuaZhong University of Science and Technology"

+9a7858eda9b40b16002c6003b6db19828f94a6c6,Mooney face classification and prediction by learning across tone,"MOONEY FACE CLASSIFICATION AND PREDICTION BY LEARNING ACROSS TONE
+Tsung-Wei Ke(cid:63)†
+Stella X. Yu(cid:63)†
+David Whitney(cid:63)
+(cid:63) UC Berkeley / †ICSI"

+9a2ed8abaa17834cb8f227a9353c8cfed3a367cd,A Method of Detecting Abnormal Crowd Behavior Events Applied in Air Patrol Robot,"A Method of Detecting Abnormal Crowd Behavior Events Applied in Air Patrol Robot
+School of Electrical and Electronic Engineering ,Shanghai Institute of Technology, Shanghai, China
+Huailin Zhao
+School of Electrical and Electronic Engineering ,Shanghai Institute of Technology, Shanghai, China
+Shunzhou Wang
+School of Electrical and Electronic Engineering ,Shanghai Institute of Technology, Shanghai, China
+Shifang Xu
+School of Computer Science and Information Engineering ,Shanghai Institute of Technology, Shanghai, China
+Yani Zhang
+Masanori Sugisaka
+Alife Robotics Corporation LTD, Oita, Japan"

+9abc9e3cadbec9139b39dfddb0de6c08b7aaf2d0,Pain Intensity Evaluation through Facial Action Units,"Pain Intensity Evaluation Through Facial Action
+Units
+Zuhair Zafar
+Dept. of Electrical Engineering, SBASSE,
+Lahore University of Management Sciences,
+Lahore, Pakistan
+Nadeem Ahmad Khan
+Dept. of Electrical Engineering, SBASSE,
+Lahore University of Management Sciences,
+Lahore, Pakistan"

+9a88d23234ee41965ac17fc5774348563448a94d,3021977 GI P_212 Cover.indd,"Gesellschaft für Informatik e.V. (GI)
+publishes  this  series  in  order  to  make  available  to  a  broad  public
+recent findings in informatics (i.e. computer science and informa-
+tion  systems),  to  document  conferences  that  are  organized  in  co-
+operation with GI and to publish the annual GI Award dissertation.
+Broken down into
+• seminars
+• proceedings
+• dissertations
+• thematics
+urrent topics are dealt with from the vantage point of research and
+development, teaching and further training in theory and practice.
+The Editorial Committee uses an intensive review process in order
+to ensure high quality contributions.
+The volumes are published in German or English.
+Information: http://www.gi.de/service/publikationen/lni/
+ISSN 1617-5468
+ISBN 978-3-88579-606-0
+The proceedings of the BIOSIG 2013 include scientific contributions of the annual
+onference of the Biometrics Special Interest Group (BIOSIG) of the Gesellschaft"

+9a276c72acdb83660557489114a494b86a39f6ff,Emotion Classification through Lower Facial Expressions using Adaptive Support Vector Machines,"Emotion Classification through Lower Facial Expressions using Adaptive
+Support Vector Machines
+Porawat Visutsak
+Department of Information Technology, Faculty of Industrial Technology and Management,
+King Mongkut’s University of Technology North Bangkok,"

+9ad65c5c5a2b22ef0343831fe0dabc2055d72497,Eyediap Database: Data Description and Gaze Tracking Evaluation Benchmarks,"EYEDIAP DATABASE: DATA DESCRIPTION
+AND GAZE TRACKING EVALUATION
+BENCHMARKS
+Kenneth Alberto Funes Mora        Florent Monay
+Jean-Marc Odobez
+Idiap-RR-08-2014
+Version of SEPTEMBER 18, 2014
+Centre du Parc, Rue Marconi 19, P.O. Box 592, CH - 1920 Martigny
+T +41 27 721 77 11  F +41 27 721 77 12   www.idiap.ch"

+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."

+9a08459b0cb133f0f4352c58225446f9dc95ecc4,Metadata of the chapter that will be visualized in SpringerLink,"Metadata of the chapter that will be visualized in
+SpringerLink
+Book Title
+Series Title
+Chapter Title
+Copyright Year
+Copyright HolderName
+Author
+Corresponding Author
+Author
+Author
+Instituto de Investigación en Informática de Albacete
+Universidad de Castilla-La Mancha
+02071, Albacete, Spain
+Ambient Assisted Living. ICT-based Solutions in Real Life Situations
+Sokolova
+Marina V.
+Fernández-Caballero
+Experimentation on Emotion Regulation with Single-Colored Images
+Springer International Publishing Switzerland"

+9a42c519f0aaa68debbe9df00b090ca446d25bc4,Face Recognition via Centralized Coordinate Learning,"Face Recognition via Centralized Coordinate
+Learning
+Xianbiao Qi, Lei Zhang"

+9a03b7b71a82fc2c86b3b4cbec802dfc16978486,One-Shot Observation Learning,"One-Shot Observation Learning
+Leo Pauly, Wisdom C. Agboh, Mohamed Abdellatif, David C. Hogg, Raul Fuentes"

+9aad8e52aff12bd822f0011e6ef85dfc22fe8466,Temporal-Spatial Mapping for Action Recognition,"Temporal-Spatial Mapping for Action Recognition
+Xiaolin Song, Cuiling Lan, Wenjun Zeng, Junliang Xing, Jingyu Yang, and Xiaoyan Sun"

+9a9019972dece591f502a2f794e81648b9e064fe,Combination of facial landmarks for robust eye localization using the Discriminative Generalized Hough Transform,"Combination of Facial Landmarks
+for Robust Eye Localization
+Using the Discriminative Generalized Hough Transform
+Ferdinand Hahmann, Gordon B¨oer, Hauke Schramm
+Institute of Applied Computer Science
+University of Applied Sciences Kiel
+Grenzstraße 3, 24149 Kiel"

+363ca0a3f908859b1b55c2ff77cc900957653748,Local Binary Patterns and Linear Programming using Facial Expression,"International Journal of Computer Trends and Technology (IJCTT) – volume 1 Issue 3 Number 4 – Aug 2011
+Local Binary Patterns and Linear Programming using
+Facial Expression
+Ms.P.Jennifer
+#MCA Department, Bharath Institute of Science and Technology
++B.Tech (C.S.E), Bharath University , Chennai – 73.
+Dr. A. Muthu kumaravel
+#MCA Department, Bharath Institute of Science and Technology
++B.Tech (C.S.E), Bharath University , Chennai – 73."

+36d8cc038db71a473d0c94c21f2b68a840dff21c,Unsupervised Detector Adaptation by Joint Dataset Feature Learning,"
	
+
+
	
+		
+
+	
+	
+
+	
+				
+
+

+!∀∀
+##!∃%&∋()
+		
+∗+,
+			
+#−./!0!∀
+!!2!342
+,"

+36cbcd70af6f2fd3e700e0a710acd5f1f6abebcf,Matching People across Camera Views using Kernel Canonical Correlation Analysis,"Matching People across Camera Views using
+Kernel Canonical Correlation Analysis
+Giuseppe Lisanti , Iacopo Masi , Alberto Del Bimbo
+Media Integration and Communication Center (MICC), Università degli Studi di Firenze
+Viale Morgagni 65 - 50134 Firenze, Italy"

+36358eff7c34de64c0ce8aa42cf7c4da24bf8e93,Deep Metric Learning for Person Re-identification,"Deep Metric Learning for Person Re-Identification
+(Invited Paper)
+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)"

+367231b80e8201fc9c461fbb42047b20e89ea961,Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets,"MANUEL AMTHOR, ERIK RODNER, AND JOACHIM DENZLER: IMPATIENT DNNS
+Impatient DNNs – Deep Neural Networks
+with Dynamic Time Budgets
+Manuel Amthor
+Erik Rodner
+Joachim Denzler
+Computer Vision Group
+Friedrich Schiller University Jena
+Germany
+www.inf-cv.uni-jena.de"

+36fa002f36e14ab7d24ebcdd99b6589ed726b383,Detecting conversational gaze aversion using unsupervised learning,"Detecting Conversational Gaze Aversion Using
+Unsupervised Learning
+Matthew Roddy, Naomi Harte
+ADAPT Centre, School of Engineering
+Trinity College Dublin, Ireland"

+362cfe79a6822f9e317555c5e3469dd038b9053f,Damped Gauss-Newton algorithm for nonnegative Tucker decomposition,"978-1-4577-0568-7/11/$26.00 ©2011 IEEE
+DY, An	, G (cid:2) (cid:12)Y 
 G  A	(cid:12)2
+DECOMPOSITION
+. INTRODUCTION"

+364584f8313e7601b1f5134d371e98aeb61110e8,An invariant bipolar representation for 3D surfaces,"An invariant bipolar representation for 3D surfaces
+M. JRIBI and F. GHORBEL
+CRSITAL Laboratory / GRIFT research group,
+Ecole Nationale des Sciences de l’Informatique (ENSI),
+La Manouba University, 2010 La Manouba, Tunisia"

+36939e6a365e9db904d81325212177c9e9e76c54,"Assessing the Accuracy of Four Popular Face Recognition Tools for Inferring Gender, Age, and Race","Assessing the Accuracy of Four Popular Face Recognition Tools for
+Inferring Gender, Age, and Race
+Soon-Gyo Jung, Jisun An, Haewoon Kwak, Joni Salminen, Bernard J. Jansen
+Qatar Computing Research Institute, HBKU
+HBKU Research Complex, Doha, P.O. Box 34110, Qatar"

+366c14f477bf2ed16b1498d1c56a7e1f2af08e69,Comparative Analysis of Statistical Shape Spaces,"Comparative Analysis of Statistical Shape Spaces
+Alan Brunton∗
+Augusto Salazar†
+Timo Bolkart†
+Stefanie Wuhrer†"

+3646b42511a6a0df5470408bc9a7a69bb3c5d742,Detection of Facial Parts based on ABLATA,"International Journal of Computer Applications (0975 – 8887)
+Applications of Computers and Electronics for the Welfare of Rural Masses (ACEWRM) 2015
+Detection of Facial Parts based on ABLATA
+Siddhartha Choubey
+Shri Shankaracharya
+Technical Campus, Bhilai
+Vikas Singh
+Shri Shankaracharya
+Technical Campus, Bhilai
+Abha Choubey
+Shri Shankaracharya
+Technical Campus, Bhilai"

+36cd55cdb1b032c8f29e011ed0637923afc46d3f,Strategies to Improve Activity Recognition Based on Skeletal Tracking: Applying Restrictions Regarding Body Parts and Similarity Boundaries †,"Article
+Strategies to Improve Activity Recognition Based on
+Skeletal Tracking: Applying Restrictions Regarding
+Body Parts and Similarity Boundaries †
+Carlos Gutiérrez-López-Franca *, Ramón Hervás and Esperanza Johnson
+MAmI Research Lab, University of Castilla-La Mancha, Paseo de la Universidad 4, 13071 Ciudad Real, Spain;
+(R.H.); (E.J.)
+* Correspondence:
+This paper is an extended version of our paper published in Gutiérrez López de la Franca, C.; Hervás, R.;
+Johnson, E.; Bravo, J. Findings about Selecting Body Parts to Analyze Human Activities through Skeletal
+Tracking Joint Oriented Devices. In Proceedings of the 10th International Conference on Ubiquitous
+Computing and Ambient Intelligence (UCAMI 2016), Gran Canaria, Spain, 29 November–2 December 2016.
+Received: 4 April 2018; Accepted: 17 May 2018; Published: 22 May 2018"

+36fe39ed69a5c7ff9650fd5f4fe950b5880760b0,Tracking von Gesichtsmimik mit Hilfe von Gitterstrukturen zur Klassifikation von schmerzrelevanten Action Units,"Tracking von Gesichtsmimik
+mit Hilfe von Gitterstrukturen
+zur Klassifikation von schmerzrelevanten Action
+Units
+Christine Barthold1, Anton Papst1, Thomas Wittenberg1
+Christian K¨ublbeck1, Stefan Lautenbacher2, Ute Schmid2, Sven Friedl1,3
+Fraunhofer-Institut f¨ur Integrierte Schaltungen IIS, Erlangen,
+Otto-Friedrich-Universit¨at Bamberg, 3Universit¨atsklinkum Erlangen
+Kurzfassung. In der Schmerzforschung werden schmerzrelevante Mi-
+mikbewegungen von Probanden mittels des Facial Action Coding System
+klassifiziert. Die manuelle Klassifikation hierbei ist aufw¨andig und eine
+utomatische (Vor-)klassifikation k¨onnte den diagnostischen Wert dieser
+Analysen erh¨ohen sowie den klinischen Workflow unterst¨utzen. Der hier
+vorgestellte regelbasierte Ansatz erm¨oglicht eine automatische Klassifika-
+tion ohne große Trainingsmengen vorklassifizierter Daten. Das Verfahren
+erkennt und verfolgt Mimikbewegungen, unterst¨utzt durch ein Gitter,
+und ordnet diese Bewegungen bestimmten Gesichtsarealen zu. Mit die-
+sem Wissen kann aus den Bewegungen auf die zugeh¨origen Action Units
+geschlossen werden.
+Einleitung"

+363e5a0e4cd857e98de72a726ad6f80cea9c50ab,Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition,"Fast Landmark Localization
+with 3D Component Reconstruction and CNN for
+Cross-Pose Recognition
+Gee-Sern (Jison) Hsu, Hung-Cheng Shie, Cheng-Hua Hsieh"

+36b2aa7248152fdad7bc7f670d0b577c9728d466,Data-dependent Initializations of Convolutional Neural Networks,"Under review as a conference paper at ICLR 2016
+DATA-DEPENDENT INITIALIZATIONS OF
+CONVOLUTIONAL NEURAL NETWORKS
+Philipp Kr¨ahenb¨uhl1, Carl Doersch1,2, Jeff Donahue1, Trevor Darrell1
+Department of Electrical Engineering and Computer Science, UC Berkeley
+Machine Learning Department, Carnegie Mellon"

+36fc4120fc0638b97c23f97b53e2184107c52233,Introducing Celebrities in an Images using HAAR Cascade algorithm,"National Conference on Innovative Paradigms in Engineering & Technology (NCIPET-2013)
+Proceedings published by International Journal of Computer Applications® (IJCA)
+Introducing Celebrities in an Images using HAAR
+Cascade algorithm
+Jaya M. Jadhav
+Deipali V. Gore
+Asst. Professor
+Rashmi R. Tundalwar
+PES Modern College of Engg.
+PES Modern College of Engg.
+PES Modern College of Engg.
+Shivaji Nagar, Pune
+Shivaji Nagar, Pune
+Shivaji Nagar, Pune"

+361367838ee5d9d5c9a77c69c1c56b1c309ab236,Salient Object Detection: A Survey,"Salient Object Detection: A Survey
+Ali Borji, Ming–Ming Cheng, Huaizu Jiang and Jia Li"

+36ca720185b62e92a7f3cce75418356a5a125d24,Template aging in 3D and 2D face recognition,"Template Aging in 3D and 2D Face Recognition
+Ishan Manjani∗
+Hakki Sumerkan†
+Patrick J. Flynn†
+Kevin W. Bowyer†"

+36ce0b68a01b4c96af6ad8c26e55e5a30446f360,Facial expression recognition based on a mlp neural network using constructive training algorithm,"Multimed Tools Appl
+DOI 10.1007/s11042-014-2322-6
+Facial expression recognition based on a mlp neural
+network using constructive training algorithm
+Hayet Boughrara · Mohamed Chtourou ·
+Chokri Ben Amar · Liming Chen
+Received: 5 February 2014 / Revised: 22 August 2014 / Accepted: 13 October 2014
+© Springer Science+Business Media New York 2014"

+3674f3597bbca3ce05e4423611d871d09882043b,Facial Expression Spacial Charts for Describing Dynamic Diversity of Facial Expressions,"ISSN 1796-2048
+Volume 7, Number 4, August 2012
+Contents
+Special Issue: Multimedia Contents Security in Social Networks Applications
+Guest Editors: Zhiyong Zhang and Muthucumaru Maheswaran
+Guest Editorial
+Zhiyong Zhang and Muthucumaru Maheswaran
+SPECIAL ISSUE PAPERS
+DRTEMBB: Dynamic Recommendation Trust Evaluation Model Based on Bidding
+Gang Wang and Xiao-lin Gui
+Block-Based Parallel Intra Prediction Scheme for HEVC
+Jie Jiang, Baolong, Wei Mo, and Kefeng Fan
+Optimized LSB Matching Steganography Based on Fisher Information
+Yi-feng Sun, Dan-mei Niu, Guang-ming Tang, and Zhan-zhan Gao
+A Novel Robust Zero-Watermarking Scheme Based on Discrete Wavelet Transform
+Yu Yang, Min Lei, Huaqun Liu, Yajian Zhou, and Qun Luo
+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"

+36918b2ef6b20ffb8cffe458c0067742500c6149,"""Look, some Green Circles!"": Learning to Quantify from Images","Proceedings of the 5th Workshop on Vision and Language, pages 75–79,
+Berlin, Germany, August 12 2016. c(cid:13)2016 Association for Computational Linguistics"

+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
+Facial Feature Expression Based Approach for Human Face
+Recognition: A Review
+Jageshvar K. Keche1, Mahendra P. Dhore2
+Department of Computer Science, SSESA, Science College, Congress Nagar, Nagpur, (MS)-India,
+Department of Electronics & Computer Science, RTM Nagpur University, Campus Nagpur, (MS)-India.
+required
+extraction  of"

+362a70b6e7d55a777feb7b9fc8bc4d40a57cde8c,A partial least squares based ranker for fast and accurate age estimation,"978-1-4799-9988-0/16/$31.00 ©2016 IEEE
+ICASSP 2016"

+360a590703542f2ba345b432416398b6dad9e3fb,Multimodal Person Reidentification Using RGB-D Cameras,"Multi-modal Person Re-Identification
+Using RGB-D Cameras
+Federico Pala, Member, IEEE, Riccardo Satta, Giorgio Fumera, Member, IEEE, and Fabio Roli, Fellow, IEEE"

+36c91b1342c1357877e89b4c43f8eadb39755c0b,Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses,"Recognizing Human-Object Interactions in
+Still Images by Modeling the Mutual Context
+of Objects and Human Poses
+Bangpeng Yao, Member, IEEE, and Li Fei-Fei, Member, IEEE"

+36c9731f24e5daa42c1e2c6c68258567dfa78a0a,Movement tracking in terrain conditions accelerated with CUDA,"Proceedings of the 2014 Federated Conference on
+Computer Science and Information Systems pp. 709–717
+DOI: 10.15439/2014F282
+ACSIS, Vol. 2
+978-83-60810-58-3/$25.00 c(cid:13) 2014, IEEE"

+3678dac7e9998567b92f526046a16e2910ced55d,Talking Robots: grounding a shared lexicon in an unconstrained environment,"Berthouze, L., Prince, C. G., Littman, M., Kozima, H., and Balkenius, C. (2007).
+Proceedings of the Seventh International Conference on Epigenetic Robotics: Modeling
+Cognitive Development in Robotic Systems. Lund University Cognitive Studies, 135.
+Talking Robots: grounding a shared lexicon in an
+unconstrained environment
+Matthieu Nottale
+Jean-Christophe Baillie
+ENSTA-UEI cognitive robotics lab."

+3630324c2af04fd90f8668f9ee9709604fe980fd,Image Classification With Tailored Fine-Grained Dictionaries,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TCSVT.2016.2607345, IEEE
+Transactions on Circuits and Systems for Video Technology
+Image Classification with Tailored Fine-Grained
+Dictionaries
+Xiangbo Shu, Jinhui Tang, Guo-Jun Qi, Zechao Li, Yu-Gang Jiang and Shuicheng Yan"

+36513f869e5ba2928369014244dff998ab93728c,Discriminative cluster analysis,"Chapter 1
+Discriminative Cluster Analysis
+Fernando De la Torre and Takeo Kanade"

+36973330ae638571484e1f68aaf455e3e6f18ae9,Scale-Aware Fast R-CNN for Pedestrian Detection,"Scale-aware Fast R-CNN for Pedestrian Detection
+Jianan Li, Xiaodan Liang, ShengMei Shen, Tingfa Xu, and Shuicheng Yan"

+36b322095bd0953d6076096111e4a020f427793b,Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.
+Large Displacement Optical Flow:
+Descriptor Matching in Variational
+Motion Estimation
+Thomas Brox, Jitendra Malik, Fellow, IEEE"

+36cf96fe11a2c1ea4d999a7f86ffef6eea7b5958,RGB-D Face Recognition With Texture and Attribute Features,"RGB-D Face Recognition with Texture and
+Attribute Features
+Gaurav Goswami, Student Member, IEEE, Mayank Vatsa, Senior Member, IEEE, and Richa Singh, Senior
+Member, IEEE"

+36018404263b9bb44d1fddaddd9ee9af9d46e560,Occluded Face Recognition by Using Gabor Features,"OCCLUDED FACE RECOGNITION BY USING GABOR
+FEATURES
+Burcu Kepenekci 1,2, F. Boray Tek 1,2, Gozde Bozdagi Akar 1
+Department of Electrical And Electronics Engineering, METU, Ankara, Turkey
+7h%ł7$.(cid:3)%ł/7(1(cid:15)(cid:3)$QNDUD(cid:15)(cid:3)7XUNH\"

+36f039e39efde3558531b99d85cd9e3ab7d396b3,Efficiency of Recognition Methods for Single Sample per Person Based Face Recognition,"Efficiency of Recognition Methods for Single
+Sample per Person Based Face Recognition
+Miloš Oravec, Jarmila Pavlovičová, Ján Mazanec,
+Ľuboš Omelina, Matej Féder and Jozef Ban
+Faculty of Electrical Engineering and Information Technology
+Slovak University of Technology in Bratislava
+Slovakia
+. Introduction
+Even for the present-day computer technology, the biometric recognition of human face is
+difficult  task  and  continually  evolving  concept  in  the  area  of  biometric  recognition.  The
+rea of face recognition is well-described today in many papers and books, e.g. (Delac et al.,
+008), (Li & Jain, 2005), (Oravec et al., 2010). The idea that two-dimensional still-image face
+recognition  in  controlled  environment  is  already  a  solved  task  is  generally  accepted  and
+several  benchmarks  evaluating  recognition  results  were  done  in  this  area  (e.g.  Face
+Recognition  Vendor  Tests,  FRVT  2000,  2002,  2006,  http://www.frvt.org/).  Nevertheless,
+many  tasks  have  to  be  solved,  such  as  recognition  in  unconstrained  environment,
+recognition of non-frontal images, single sample per person problem, etc.
+This chapter deals with single sample per person face recognition (also called one sample
+per  person  problem).  This  topic  is  related  to  small  sample  size  problem  in  pattern
+recognition. Although there are also advantages of single sample – fast and easy creation of"

+367b5b814aa991329c2ae7f8793909ad8c0a56f1,Performance evaluation of random set based pedestrian tracking algorithms,"Performance Evaluation of Random Set Based
+Pedestrian Tracking Algorithms
+Branko Ristic
+ISR Division
+Australia
+Jamie Sherrah
+ISR Division
+Australia
+´Angel F. Garc´ıa-Fern´andez
+Department of Signals and Systems
+Chalmers University of Technology
+Sweden"

+36688a79cc8926f489ccb6e6dadba15afbb4b6a4,Linear discriminant analysis for the small sample size problem: an overview,"Int. J. Mach. Learn. & Cyber.
+DOI 10.1007/s13042-013-0226-9
+O R I G I N A L A R T I C L E
+Linear discriminant analysis for the small sample size problem:
+n overview
+Alok Sharma • Kuldip K. Paliwal
+Received: 19 March 2013 / Accepted: 26 December 2013
+Ó Springer-Verlag Berlin Heidelberg 2014"

+368132f8dfcbd6e857dfc1b7dce2ab91bd9648ad,"Simultaneous Localization And Mapping: Present, Future, and the Robust-Perception Age","Simultaneous Localization And Mapping:
+Present, Future, and the Robust-Perception Age
+Cesar Cadena, Luca Carlone, Henry Carrillo, Yasir Latif,
+Davide Scaramuzza, Jos´e Neira, Ian D. Reid, John J. Leonard"

+367008b91eb57c5ea64ef7520dfcabc0c5c85532,"Person Re-identification: Past, Present and Future","JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Person Re-identification:
+Past, Present and Future
+Liang Zheng, Yi Yang, and Alexander G. Hauptmann"

+365b72a225a18a930b96e7c0b215b9fede8a0968,Storyline Reconstruction for Unordered Images,"Storyline Reconstruction for Unordered Images
+Final Paper
+Sameedha Bairagi, Arpit Khandelwal, Venkatesh Raizaday
+Introduction:
+Storyline reconstruction is a relatively new topic and has not been researched extensively. The
+main objective is to take a stream of images as input and re-shuffle them in chronological order.
+The recent growth of online multimedia data has generated lots and lots of unstructured data on
+the web. Image streams are generated daily on websites like Flicker, Instagram etc. and almost
+00 hours of video is uploaded on YouTube on a daily basis.
+In  this paper,  we  try  and  implement  an  algorithm  which  uses  the  property of  videos  of being
+temporally adept to sort a stream of unordered images. The basic process is as follows:
+-  Generate  key  frames/video  summary  of  a  video  from  multiple  instances  of  the  same
+ategory.
+-  Cluster these key frames on the basis of the action being performed in them.
+-  Create a graph from these clusters using temporal data from the videos.
+-  Take an input stream of images and assign each image to its most probable cluster.
+-  Use the graph to assign ordering to the images.
+In the following sections, we will try and go deep into each of the step mentioned above and
+discuss multiple approaches we implemented to do the same.
+Background and Related work:"

+362250566948f17693b737122fc1434173982da8,Automatic Image Annotation using Weakly Labelled Web Data,"Automatic Image Annotation using
+Weakly Labelled Web Data
+Pravin Kakar, Xiangyu Wang and Alex Yong-Sang Chia
+Social Media and Internet Vision Analytics Lab,
+Institute for Infocomm Research,
+#21-01, 1 Fusionopolis Way,
+{kakarpv, wangx,
+Singapore 138632."

+36ab143da8b6f6d49811afaaa7bcbf81c22a210e,Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video Classification,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Modeling Multimodal Clues in a Hybrid Deep
+Learning Framework for Video Classification
+Yu-Gang Jiang, Zuxuan Wu, Jinhui Tang, Zechao Li, Xiangyang Xue, Shih-Fu Chang"

+366595171c9f4696ec5eef7c3686114fd3f116ad,Algorithms and Representations for Visual Recognition,"Algorithms and Representations for Visual
+Recognition
+Subhransu Maji
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2012-53
+http://www.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-53.html
+May 1, 2012"

+3607afdb204de9a5a9300ae98aa4635d9effcda2,Face Description with Local Binary Patterns: Application to Face Recognition,"Face Description with Local Binary Patterns:
+Application to Face Recognition
+Timo Ahonen, Student Member, IEEE, Abdenour Hadid,
+nd Matti Pietik¨ainen, Senior Member, IEEE"

+367c571480ac46d48be050dee4e6103a0ebb5db5,Multimedia Content Based Image Retrieval Iii: Local Tetra Pattern,"Manas M N et al Int. Journal of Engineering Research and Applications                       www.ijera.com
+ISSN : 2248-9622, Vol. 4, Issue 6( Version 3), June 2014, pp.104-107
+RESEARCH ARTICLE
+OPEN ACCESS
+Multimedia  Content  Based  Image  Retrieval  Iii:  Local  Tetra
+Pattern
+Nagaraja G S1, Rajashekara Murthy S2, Manas M N3, Sridhar N H4
+(Department of CSE, RVCE, Visvesvaraya Technological University, Bangalore-59, Karnataka, India)
+(Department of ISE, RVCE, Visvesvaraya Technological University, Bangalore-59, Karnataka, India)
+(M.  Tech,  Department  of  CSE,  RVCE,  Visvesvaraya  Technological  University,  Bangalore-59,  Karnataka,
+India)
+(Research  Scholar,  Department  of  CSE,  RVCE,  Visvesvaraya  Technological  University,  Bangalore-59,
+Karnataka, India)"

+36119c10f75094e0568cae8256400c94546d973b,The CASIA NIR-VIS 2.0 Face Database,"The CASIA NIR-VIS 2.0 Face Database
+Stan Z. Li, Dong Yi, Zhen Lei and Shengcai Liao
+Center for Biometrics and Security Research & National Laboratory of Pattern Recognition
+Institute of Automation, Chinese Academy of Sciences (CASIA)
+szli, dyi, zlei,"

+36b9faf0d6c4c6296193b8d5d7833624a181624c,Real-Time Multiple Human Perception With Color-Depth Cameras on a Mobile Robot,"Real-Time Multiple Human Perception
+with Color-Depth Cameras on a Mobile Robot
+Hao Zhang, Student Member, IEEE, Christopher Reardon, Student Member, IEEE, and Lynne E. Parker, Fellow, IEEE"

+5c6ccca19179fd217a74ccb954a4c4370e4203e2,Correspondences of Persistent Feature Points on Near-Isometric Surfaces,"Correspondences of Persistent Feature Points
+on Near-Isometric Surfaces
+Ying Yang1,2, David G¨unther1,3, Stefanie Wuhrer3,1, Alan Brunton3,4
+Ioannis Ivrissimtzis2, Hans-Peter Seidel1, Tino Weinkauf1 (cid:63)
+MPI Informatik 2Durham University 3Saarland University 4University of Ottawa"

+5cb343e447c7fd933ff8f57fc9c99c5673cad97d,MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild,"MoCap-guided Data Augmentation
+for 3D Pose Estimation in the Wild
+Grégory Rogez
+Cordelia Schmid
+Inria Grenoble Rhône-Alpes, Laboratoire Jean Kuntzmann, France"

+5ca2e14f91dffb4784c443fe5cfe7838c3f3713c,Convolutional Recurrent Predictor: Implicit Representation for Multi-target Filtering and Tracking,"Convolutional Recurrent Predictor:
+Implicit Representation for Multi-target Filtering and Tracking
+Mehryar Emambakhsh, Alessandro Bay and Eduard Vazquez
+{mehryar.emambakhsh, alessandro.bay,
+Cortexica Vision Systems
+London, UK"

+5c6de2d9f93b90034f07860ae485a2accf529285,Compensating for pose and illumination in unconstrained periocular biometrics,"Int. J. Biometrics, Vol. X, No. Y, xxxx
+Compensating for pose and illumination in
+unconstrained periocular biometrics
+Chandrashekhar N. Padole and
+Hugo Proença*
+Department of Computer Science,
+IT – Instituto de Telecomunicações,
+University of Beira Interior,
+6200-Covilhã, Portugal
+Fax: +351-275-319899
+E-mail:
+E-mail:
+*Corresponding author"

+5c5dbca68946434afb201f0df90011104c85e4c4,Robust 3D Patch-Based Face Hallucination,"Robust 3D Patch-Based Face Hallucination
+Chengchao Qu1,2 Christian Herrmann1,2 Eduardo Monari2 Tobias Schuchert2
+J¨urgen Beyerer2,1
+Vision and Fusion Laboratory (IES), Karlsruhe Institute of Technology (KIT)
+Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (Fraunhofer IOSB)"

+5cc9fdd3a588f6e62e46d7884c1dbeef92a782f2,Spontaneous attention to faces in Asperger syndrome using ecologically valid static stimuli.,"Durham Research Online
+Deposited in DRO:
+6 December 2014
+Version of attached le:
+Accepted Version
+Peer-review status of attached le:
+Peer-reviewed
+Citation for published item:
+Hanley, M. and McPhillips, M. and Mulhern, G. and Riby, D. M. (2013) 'Spontaneous attention to faces in
+Asperger Syndrome using ecologically valid static stimuli.', Autism., 17 (6). pp. 754-761.
+Further information on publisher's website:
+http://dx.doi.org/10.1177/1362361312456746
+Publisher's copyright statement:
+Use policy
+The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for
+personal research or study, educational, or not-for-prot purposes provided that:
+• a full bibliographic reference is made to the original source
+• a link is made to the metadata record in DRO
+• the full-text is not changed in any way
+The full-text must not be sold in any format or medium without the formal permission of the copyright holders."

+5c7db2907c586f4f2d6ae5937b0dc0f4d1bc834a,Deliverable D2.1 Audio-visual Algorithms for Person Tracking and Characterization (baseline),"MULTIMODAL MALL ENTERTAINMENT ROBOT
+mummer-project.eu
+Grant No. 688147. Project started 2016-03-01. Duration 48 months.
+DELIVERABLE D2.1
+AUDIO-VISUAL ALGORITHMS FOR PERSON
+TRACKING AND CHARACTERIZATION (BASELINE)
+Jean-Marc Odobez (Idiap), Natalia Lyubova (SBRE),
+Olivier Can´evet (Idiap), Kenneth Funes Mora (Idiap),
+Weipeng He (Idiap), Angel Martinez Gonzalez (Idiap),
+Jean-Marc Montanier (SBRE), Marc Moreaux (SBRE)
+Beneficiaries:
+Workpackage:
+Idiap Research Institute (lead), SoftBank Robotics Europe
+Active Multimodal Sensing and Perception
+Version:
+Nature:
+Dissemination level:
+Pages:
+017-3-3
+Draft"

+5c0dc4dff1dfb5e27b19bef0713bccd9f85ce3b2,Joint probabilistic pedestrian head and body orientation estimation,"014 IEEE Intelligent Vehicles Symposium (IV)
+June 8-11, 2014. Dearborn, Michigan, USA
+978-1-4799-3637-3/14/$31.00 ©2014 IEEE"

+5c8ad080ccb3f5e3c999c2948029f0bd005d5635,Engaging Image Captioning,"ENGAGING IMAGE CAPTIONING VIA PERSONALITY
+Kurt Shuster, Samuel Humeau, Hexiang Hu, Antoine Bordes, Jason Weston
+Facebook AI Research"

+5c81048593a6729b2d0b948a1129a97bdbf82f11,Moving Object Localization Using Optical Flow for Pedestrian Detection from a Moving Vehicle,"Hindawi Publishing Corporation
+e Scientific World Journal
+Volume 2014, Article ID 196415, 8 pages
+http://dx.doi.org/10.1155/2014/196415
+Research Article
+Moving Object Localization Using Optical Flow for Pedestrian
+Detection from a Moving Vehicle
+Joko Hariyono, Van-Dung Hoang, and Kang-Hyun Jo
+Graduate School of Electrical Engineering, University of Ulsan, Ulsan 680-749, Republic of Korea
+Correspondence should be addressed to Kang-Hyun Jo;
+Received 9 April 2014; Revised 7 June 2014; Accepted 8 June 2014; Published 10 July 2014
+Academic Editor: Yu-Bo Yuan
+Copyright © 2014 Joko Hariyono 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.
+This paper presents a pedestrian detection method from a moving vehicle using optical flows and histogram of oriented gradients
+(HOG). A moving object is extracted from the relative motion by segmenting the region representing the same optical flows after
+ompensating the egomotion of the camera. To obtain the optical flow, two consecutive images are divided into grid cells 14 × 14
+pixels; then each cell is tracked in the current frame to find corresponding cell in the next frame. Using at least three corresponding
+ells, affine transformation is performed according to each corresponding cell in the consecutive images, so that conformed optical
+flows are extracted. The regions of moving object are detected as transformed objects, which are different from the previously"

+5c271b5f96cfce1b4fdacc728ae8f8ebcbc738f9,A framework for implicit human-centered image tagging inspired by attributed affect,"Vis Comput (2013)
+O R I G I NA L  A RT I C L E
+A framework for implicit human centered image tagging
+inspired by attributed affect
+Konstantinos C. Apostolakis · Petros Daras
+Published online:
+© Springer-Verlag Berlin Heidelberg 2013"

+5cfa8d0384bcdf5dfd7501561c748e69f3a2a747,Lip AUs Detection by Boost-SVM and Gabor,"Lip AUs Detection by Boost-SVM and Gabor
+Xianmei Wang, Yuyu Liang, Xiujie Zhao and Zhiliang Wang
+School of Computer and Communication Engineering, University of Science and Technology, Beijing, China
+Email:"

+5c2e264d6ac253693469bd190f323622c457ca05,Improving large-scale face image retrieval using multi-level features,"978-1-4799-2341-0/13/$31.00 ©2013 IEEE
+ICIP 2013"

+5c48f97a8a8217025abafeababaef6288fd7ded6,Model syndromes for investigating social cognitive and affective neuroscience: a comparison of Autism and Williams syndrome.,"doi:10.1093/scan/nsl035
+SCAN (2006) 1of 8
+Model syndromes for investigating social cognitive
+nd affective neuroscience: a comparison of
+utism and Williams syndrome
+Helen Tager-Flusberg, Daniela Plesa Skwerer, and Robert M. Joseph
+Boston University School of Medicine, Boston, MA, USA
+Autism and Williams syndrome are genetically based neurodevelopmental disorders that present strikingly different social
+phenotypes. Autism involves fundamental impairments in social reciprocity and communication, whereas people with Williams
+syndrome are highly sociable and engaging. This article reviews the behavioral and neuroimaging literature that has explored the
+neurocognitive mechanisms that underlie these contrasting social phenotypes, focusing on studies of face processing. The article
+oncludes with a discussion of how the social phenotypes of both syndromes may be characterized by impaired connectivity
+etween the amygdala and other critical regions in the ’social brain’.
+Keywords: autism; Williams syndrome; face processing; emotion processing; amygdala
+INTRODUCTION
+For the past two decades autism, (ASD)1 and Williams
+syndrome (WMS) have captured the interest and imagina-
+tion of cognitive neuroscientists. These neurodevelopmental
+disorders present striking phenotypes that hold out the
+promise of advancing our understanding of the biological"

+5cdc02ed9f456219369fe3115321564c9955b9ae,Real-time Analysis and Visualization of the YFCC100m Dataset,"Real-time Analysis and Visualization
+of the YFCC100m Dataset
+Firstname Lastname
+Institute
+City, Country"

+5ce40105e002f9cb428a029e8dec6efe8fad380e,Co-design of architectures and algorithms for mobile robot localization and model-based detection of obstacles. (Co-conception d'architectures et d'algorithmes pour la localisation de robots mobiles et la détection d'obstacles basée sur des modèles),"Co-design of architectures and algorithms for mobile
+robot localization and model-based detection of obstacles
+Daniel Törtei
+To cite this version:
+Daniel Törtei. Co-design of architectures and algorithms for mobile robot localization and model-based
+detection of obstacles. Embedded Systems. Université Paul Sabatier - Toulouse III, 2016. English.
+<NNT : 2016TOU30294>. <tel-01477662v2>
+HAL Id: tel-01477662
+https://tel.archives-ouvertes.fr/tel-01477662v2
+Submitted on 16 Feb 2018
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+5c5e1f367e8768a9fb0f1b2f9dbfa060a22e75c0,Reference Face Graph for Face Recognition,"Reference Face Graph for Face Recognition
+Mehran Kafai, Member, IEEE, Le An, Student Member, IEEE, and Bir Bhanu, Fellow, IEEE"

+5c35ac04260e281141b3aaa7bbb147032c887f0c,Face Detection and Tracking Control with Omni Car,"Face Detection and Tracking Control with Omni Car
+Jheng-Hao Chen, Tung-Yu Wu
+CS 231A Final Report
+June 31, 2016"

+5c435c4bc9c9667f968f891e207d241c3e45757a,"""How old are you?"" : Age Estimation with Tensors of Binary Gaussian Receptive Maps","RUIZ-HERNANDEZ, CROWLEY, LUX: HOW OLD ARE YOU?
+""How old are you?"" : Age Estimation with
+Tensors of Binary Gaussian Receptive Maps
+John A. Ruiz-Hernandez
+James L. Crowley
+Augustin Lux
+INRIA Grenoble Rhones-Alpes
+Research Center and Laboratoire
+d’Informatique de Grenoble (LIG)
+655 avenue de l’Europe
+8 334 Saint Ismier Cedex, France"

+5c315aae464602115674716a7f976c4992fcb98e,Teachers’ Perception in the Classroom,"Teachers’ Perception in the Classroom
+¨Omer S¨umer1
+Patricia Goldberg1
+Kathleen St¨urmer1
+Tina Seidel3
+Peter Gerjets2 Ulrich Trautwein1
+Enkelejda Kasneci1
+University of T¨ubingen, Germany
+Leibniz-Institut f¨ur Wissensmedien, Germany
+Technical University of Munich, Germany"

+5c77901df1e0f52a9774b39e730c31afbc1214a7,Learning Social Tag Relevance by Neighbor Voting,"Learning Social Tag Relevance by Neighbor Voting
+Xirong Li, Cees G. M. Snoek, Member, IEEE, Marcel Worring, Member, IEEE"

+5cb1277bc7257e7b4cfc1699199c6d8e13ff0b1a,Refining Synthetic Images with Semantic Layouts by Adversarial Training,"Proceedings of Machine Learning Research 95:863-878, 2018
+ACML 2018
+Refining Synthetic Images with Semantic Layouts by
+Adversarial Training
+Tongtong Zhao
+Dalian Maritime University
+Dalian 116026, China
+Yuxiao Yan
+Dalian Maritime University
+Dalian 116026, China
+JinJia Peng
+Dalian Maritime University
+Dalian 116026, China
+HaoHui Wei
+Dalian Maritime University
+Dalian 116026, China
+Xianping Fu
+Dalian Maritime University
+Dalian 116026, China
+Editors: Jun Zhu and Ichiro Takeuchi"

+5c9c153f705a02e157adcf49dccf4f1eeb70cf93,Learning Appearance Transfer for Person Re-identification,"Learning Appearance Transfer for Person
+Re-identification
+Tamar Avraham and Michael Lindenbaum"

+5c1e0e94d6cb74448c7b3c1e0db42121be4e9bd6,Saliency Detection using regression trees on hierarchical image segments,"SALIENCY DETECTION USING REGRESSION TREES ON
+HIERARCHICAL IMAGE SEGMENTS
+G¨okhan Yildirim, Appu Shaji, Sabine S¨usstrunk
+School of Computer and Communication Sciences
+´Ecole Polytechnique F´ed´erale de Lausanne"

+5c3fd194ba96c5eea41c0772ad0b2292dedcd197,Understanding the Energy Saving Potential of Smart Scale Selection in the Viola and Jones Facial Detection Algorithm,

+5cff58d081a4732b11e6da498196ed6fbb54d15b,Adversarial Examples for Semantic Segmentation and Object Detection,"Adversarial Examples for Semantic Segmentation and Object Detection
+Cihang Xie1*, Jianyu Wang2*, Zhishuai Zhang1∗, Yuyin Zhou1, Lingxi Xie1, Alan Yuille1
+Department of Computer Science, The Johns Hopkins University, Baltimore, MD 21218 USA
+{cihangxie306, wjyouch, zhshuai.zhang, zhouyuyiner, 198808xc,
+Baidu Research USA, Sunnyvale, CA 94089 USA"

+5cd11d6b6cb7a2b8c00fcb535879edbd6b008a01,Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras,"Large-Scale Direct Sparse Visual Odometry with Stereo Cameras
+Stereo DSO:
+Rui Wang∗, Martin Schw¨orer∗, Daniel Cremers
+Technical University of Munich
+{wangr, schwoere,"

+5c09d905f6d4f861624821bf9dfe2aae29137e9c,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"

+5cead7ba087ebe7314f96d875f3d3dbb8dbed1c7,Automatic Food Intake Assessment Using Camera Phones,"Michigan Technological University
+Digital Commons Michigan
+Dissertations, Master's Theses and Master's Reports
+- Open
+Dissertations, Master's Theses and Master's Reports
+Automatic Food Intake Assessment Using Camera
+Phones
+Fanyu Kong
+Michigan Technological University
+Copyright 2012 Fanyu Kong
+Recommended Citation
+Kong, Fanyu, ""Automatic Food Intake Assessment Using Camera Phones"", Dissertation, Michigan Technological University, 2012.
+http://digitalcommons.mtu.edu/etds/494
+Follow this and additional works at: http://digitalcommons.mtu.edu/etds
+Part of the Computer Engineering Commons"

+5cebc83001ea0737cc46360850fd294327c82013,MEMORY-BASED GAIT RECOGNITION 1 Memory-based Gait Recognition,"DANLIUet al.:MEMORY-BASEDGAITRECOGNITION
+Memory-based Gait Recognition
+Dan Liu
+Mao Ye∗
+Xudong Li
+Feng Zhang
+Lan Lin
+School of Computer Science and
+Engineering,
+Center for Robotics,
+Key Laboratory for NeuroInformation of
+Ministry of Education,
+University of Electronic Science and
+Technology of China,
+Chengdu 611731, P.R. China"

+5cd34abb1e96e0c11f427364e40b1e87d6fc62c2,Greedy Part-Wise Learning of Sum-Product Networks,"Greedy Part-Wise Learning of Sum-Product
+Networks
+Robert Peharz, Bernhard C. Geiger and Franz Pernkopf
+{robert.peharz, geiger,
+Signal Processing and Speech Communication Laboratory
+Graz, University of Technology"

+5c02bd53c0a6eb361972e8a4df60cdb30c6e3930,Multimedia stimuli databases usage patterns: a survey report,"Multimedia stimuli databases usage patterns: a
+survey report
+M. Horvat1, S. Popović1 and K. Ćosić1
+University of Zagreb, Faculty of Electrical Engineering and Computing
+Department of Electric Machines, Drives and Automation
+Zagreb, Croatia"

+5c5304b79ebc2afd28ade6bb88daa80144ae3587,Review of Human-Robot Interactive Modelling and Application for Elders,"COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12C) 408-413
+Han Jing, Xie, Lun Xu Shangmou, Wang Zhiliang
+Review of Human-Robot Interactive Modelling and
+Application for Elders
+Jing Han, Lun Xie*, Shangmou Xu, Zhiliang Wang
+School of Computer and Communication Engineering, University of Science and Technology Beijing, No.30 Xueyuan  road, Beijing, China
+Received 23 November 2014, www.cmnt.lv"

+5c717afc5a9a8ccb1767d87b79851de8d3016294,A novel eye region based privacy protection scheme,"978-1-4673-0046-9/12/$26.00 ©2012 IEEE
+ICASSP 2012"

+5c879f9e2e79d6c6af8d4c821575e73876240a83,DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain,"Journal of Machine Learning Research 66 (2017) 1-16
+Submitted 5/17; Published 08/17
+DeepFaceLIFT: Interpretable Personalized Models
+for Automatic Estimation of Self-Reported Pain
+Dianbo Liu*2,3
+Fengjiao Peng*1
+Andrew Shea*3
+Ognjen (Oggi) Rudovic1
+Rosalind Picard1
+Media Lab, MIT, Cambridge, MA, USA
+Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA
+Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA"

+0971a5e835f365b6008177a867cfe4bae76841a5,Supervised Dictionary Learning by a Variational Bayesian Group Sparse Nonnegative Matrix Factorization,"Supervised Dictionary Learning by a
+Variational Bayesian Group Sparse
+Nonnegative Matrix Factorization
+Ivan Ivek"

+09f4e1064afffd8464e9fd558fc8ef7be5e33170,Spatial and Temporal Organization of the Individual Human Cerebellum,"Article
+Spatial and Temporal Organization of the Individual
+Human Cerebellum"

+098388c08ef7d23ab583819b793b0057c0396dc8,Low Rank Approximation using Error Correcting Coding Matrices,"Low Rank Approximation using Error Correcting Coding Matrices
+Shashanka Ubaru
+Arya Mazumdar
+Yousef Saad
+University of Minnesota-Twin Cities, MN USA"

+092f955f701b31f3e58adb57c57e39a4dcab9fcd,Weighted Additive Criterion for Linear Dimension Reduction,"Seventh IEEE International Conference on Data Mining
+Seventh IEEE International Conference on Data Mining
+Seventh IEEE International Conference on Data Mining
+Seventh IEEE International Conference on Data Mining
+Seventh IEEE International Conference on Data Mining
+Weighted Additive Criterion for Linear Dimension Reduction
+Jing Peng & Stefan Robila
+Computer Science Department, Montclair State University
+Montclair, NJ 07043"

+09e5f2f819a21162d833f356670a140cd555a740,Adaptive Algorithm and Platform Selection for Visual Detection and Tracking,"Adaptive Algorithm and Platform Selection for
+Visual Detection and Tracking
+Shu Zhang, Qi Zhu, and Amit K. Roy-Chowdhury"

+096e68f8d632f4363056d54a7de9c59d66b806d8,Impaired visuocortical discrimination learning of socially conditioned stimuli in social anxiety.,"Impaired Visuocortical Discrimination Learning of Socially
+Conditioned Stimuli in Social Anxiety
+Lea M. Ahrens1, Andreas Mühlberger2, Paul Pauli1, & Matthias J. Wieser1
+Department of Psychology I, University of Würzburg, Germany
+Department of Clinical Psychology and Psychotherapy, University of Regensburg, Germany
+Address for correspondence:
+Lea M. Ahrens, University of Würzburg, Department of Psychology, Biological Psychology, Clinical
+Psychology, and Psychotherapy, Marcusstr. 9-11, D-97070 Würzburg, Phone.: +49 931 31-81929,
+Fax: +49 931 31-82733,
+Running title:
+Social Conditioning in Social Anxiety
+Words: 4995 (+ 8 place marker)
+© The Author (2014). Published by Oxford University Press. For Permissions, please email:"

+0969aa7d4557699b7460e4159658828efafed8bd,Con-Text: Text Detection for Fine-Grained Object Classification,"Con-Text: Text Detection for Fine-grained Object
+Classification
+Sezer Karaoglu, Ran Tao, Jan C. van Gemert and Theo Gevers, Member, IEEE,"

+096eb8b4b977aaf274c271058feff14c99d46af3,Multi-observation visual recognition via joint dynamic sparse representation,"REPORT DOCUMENTATION PAGE
+Form Approved OMB NO. 0704-0188
+including
+for  reviewing
+information,
+this  collection  of
+information
+is  estimated
+to  average  1 hour  per  response,
+the  data  needed,  and  completing  and  reviewing
+this  collection  of
+instructions,
+The  public  reporting  burden
+Send  comments
+searching  existing  data  sources,  gathering  and  maintaining
+to  Washington
+regarding
+this  burden  estimate  or  any  other  aspect  of
+Information  Operations  and  Reports,  1215 Jefferson  Davis  Highway,  Suite  1204,  Arlington  VA,  22202-4302.
+Headquarters  Services,  Directorate"

+09d9d9d153119558e83643f0097ffb87e1037649,Face Recognition and Verification Using Artificial Neural Network,"©2010 International Journal of Computer Applications (0975 – 8887)
+Volume 1 – No. 14
+Face Recognition and Verification
+Using Artificial Neural Network
+Ms. S. S.Ranawade
+Maharashtra Institute Technology, Pune 05
+/  nonface
+images.  We  solve"

+09137e3c267a3414314d1e7e4b0e3a4cae801f45,Two Birds with One Stone: Transforming and Generating Facial Images with Iterative GAN,"Noname manuscript No.
+(will be inserted by the editor)
+Two Birds with One Stone: Transforming and Generating
+Facial Images with Iterative GAN
+Dan Ma · Bin Liu · Zhao Kang · Jiayu Zhou · Jianke Zhu · Zenglin Xu
+Received: date / Accepted: date"

+092d5bc60a21933abf98aa85ace8a9c85df16958,Implementing Randomized Matrix Algorithms in Parallel and Distributed Environments,"Implementing Randomized Matrix Algorithms in Parallel and
+Distributed Environments
+Jiyan Yang ∗
+Xiangrui Meng †
+Michael W. Mahoney ‡"

+09d78009687bec46e70efcf39d4612822e61cb8c,Consistent Re-identification in a Camera Network,"Consistent Re-identification in a Camera
+Network
+Abir Das(cid:2), Anirban Chakraborty(cid:2), and Amit K. Roy-Chowdhury(cid:2)(cid:2)
+Dept. of Electrical Engineering, University of California, Riverside, CA 92521, USA"

+09926ed62511c340f4540b5bc53cf2480e8063f8,Tubelet Detector for Spatio-Temporal Action Localization,"Action Tubelet Detector for Spatio-Temporal Action Localization
+Vicky Kalogeiton1,2
+Philippe Weinzaepfel3
+Vittorio Ferrari2
+Cordelia Schmid1"

+0917de8a3be50f2a813e7b77fc53b81125a58acb,Video based head detection and tracking surveillance system,978-1-4673-0024-7/10/$26.00 ©2012 IEEE                                 2832

+09fbfb566a8f2af9df4d3a1bf5df00d0693a22eb,Conformal Prediction for Automatic Face Recognition,"Proceedings of Machine Learning Research 60:1–20, 2017 Conformal and Probabilistic Prediction and Applications
+Conformal Prediction for Automatic Face Recognition
+Charalambos Eliades
+Harris Papadopoulos
+Computer Science and Engineering Department, Frederick University,
+7 Y. Frederickou St., Palouriotisa, Nicosia 1036, Cyprus
+Editor: Alex Gammerman, Vladimir Vovk, Zhiyuan Luo, and Harris Papadopoulos"

+0965a62c9c354d2c7175e313ade9e38120f1bd4e,Efficient Face Detection Method using Modified Hausdorff Distance Method with C 4 . 5 Classifier and Canny Edge Detection,"International Journal of Computer Applications (0975 – 8887)
+Volume 123 – No.10, August 2015
+Efficient Face Detection Method using Modified
+Hausdorff Distance Method with C4.5 Classifier and
+Canny Edge Detection
+Neelima Singh
+Research Scholar
+Computer Science and
+Engineering Department
+Samrat Ashok Technological
+Institute, Vidisha, M. P.
+Satish Pawar
+Assistant Professor
+Computer Science and
+Engineering Department
+Samrat Ashok Technological
+Institute, Vidisha, M. P.
+Yogendra Kumar Jain
+Head of Department
+Computer Science and"

+09eaa332ddcd036b0f0950bbdb3624072f105a3b,When appearance does not match accent: neural correlates of ethnicity-related expectancy violations.,"doi: 10.1093/scan/nsw148
+Advance Access Publication Date: 19 October 2016
+Original article
+When appearance does not match accent: neural
+orrelates of ethnicity-related expectancy violations
+Karolina Hansen,1 Melanie C. Steffens,2 Tamara Rakic,3 and Holger Wiese4
+University of Warsaw, Warsaw, Poland, 2University of Koblenz-Landau, Landau, Germany, 3Lancaster
+University, Lancaster, UK, and 4Durham University, Durham, UK
+Correspondence should be addressed to Karolina Hansen, Faculty of Psychology, University of Warsaw, Stawki 5/7, 00-183 Warszawa, Poland.
+E-mail:"

+09c4732280c3b2586e390d818ef0056a8de73e2c,A New Method of Histogram Computation for Efficient Implementation of the HOG Algorithm,"Article
+A New Method of Histogram Computation for
+Efficient Implementation of the HOG Algorithm †
+Mariana-Eugenia Ilas 1,* ID and Constantin Ilas 2
+Department of Electronics, Telecommunications and IT, University Politehnica Bucharest,
+Bucharest 060042, Romania
+Department of Automatics and Computer Science, University Politehnica Bucharest,
+Bucharest 060042, Romania;
+* Correspondence: Tel.: +40-21-402-4618
+This paper is an extended version of our paper published in the 9th Computer Science & Electronic
+Engineering Conference (CEEC), Colchester, UK, 27–29 September 2017.
+Received: 5 January 2018; Accepted: 27 February 2018; Published: 1 March 2018"

+09a6261c3334471bb0bc1a173aff672afe963ae3,Key-Pose Prediction in Cyclic Human Motion,"Key-Pose Prediction in Cyclic Human Motion
+Multimedia Computing and Computer Vision Lab, University of Augsburg
+Dan Zecha
+Rainer Lienhart"

+09c019141b209401b76a35184c86bab6cd1fe6b9,3D Deformable Shape Reconstruction with Diffusion Maps,"TAO, MATUSZEWSKI: 3D RECONSTRUCTION WITH DIFFUSION MAPS
+D Deformable Shape Reconstruction with
+Diffusion Maps
+Lili Tao
+Bogdan J. Matuszewski
+Applied Digital Signal and Image
+Processing Research Centre
+University of Central Lancashire, UK"

+09718bf335b926907ded5cb4c94784fd20e5ccd8,"Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble","Recognizing Partially Occluded, Expression Variant
+Faces From Single Training Image per Person
+With SOM and Soft k-NN Ensemble
+Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Member, IEEE, and Fuyan Zhang"

+09251a324dc4865732e2ead50334bfb906f8ffb4,Beyond Text based sentiment analysis: Towards multi-modal systems,"Springer Cognitive Computation manuscript No.
+(will be inserted by the editor)
+Beyond Text based sentiment analysis: Towards multi-modal
+systems
+Soujanya Poria · Amir Hussain · Erik Cambria
+the date of receipt and acceptance should be inserted later"

+09ac8added26307b358b83884b55af29de8b5bf9,Learning to grasp objects with multiple contact points,"Learning to grasp objects with multiple contact points
+Quoc V. Le, David Kamm, Arda F. Kara, Andrew Y. Ng"

+0949f46d5db3169813ae23acafa345c6b8a37f08,When Slower Is Faster: On Heterogeneous Multicores for Reliable Systems,"When Slower is Faster: On Heterogeneous Multicores for Reliable Systems
+Tomas Hruby
+The Network Institute, VU University Amsterdam
+Herbert Bos
+Andrew S. Tanenbaum"

+09222c50d8ffcc74bbb7462400bd021772850bba,Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation,"Incorporating Network Built-in Priors in
+Weakly-supervised Semantic Segmentation
+Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson,
+Jose M. Alvarez, and Stephen Gould"

+0994916f67fd15687dd5d7e414becb1cd77129ac,Multi Class Different Problem Solving Using Intelligent Algorithm,"SIVAKUMAR R, Dr.M.SRIDHAR / International Journal of Engineering Research and
+Applications (IJERA) ISSN: 2248-9622   www.ijera.com
+Vol. 2, Issue4, July-August 2012, pp.1782-1785
+Multi Class Different Problem Solving Using Intelligent
+Algorithm
+SIVAKUMAR R, 2Dr.M.SRIDHAR
+Research Scholar Dept of ECE BHARATH UNIVERSITY India
+Dept of ECE BHARATH UNIVERSITY India"

+0903bb001c263e3c9a40f430116d1e629eaa616f,An Empirical Study of Context in Object Detection,"CVPR 2009 Submission #987. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
+An Empirical Study of Context in Object Detection
+Anonymous CVPR submission
+Paper ID 987"

+092597b8e0f31be1671025cea1b9fd28a48e04bc,Supervised Person Re-ID based on Deep Hand-crafted and CNN Features,

+091b4ad74ac5bec206604673506b19838d6a0c52,Person Re-Identification By Saliency Learning,"|| Volume 2 ||Issue 10 ||MAY 2017||ISSN (Online) 2456-0774
+INTERNATIONAL JOURNAL OF ADVANCE SCIENTIFIC RESEARCH
+AND ENGINEERING TRENDS
+Person Re-Identification By Saliency Learning
+Shaihenila
+P.G. Student, Computer Science & Engineering, Everest Educational Society's Group of Institutions, Aurangabad, India."

+092b64ce89a7ec652da935758f5c6d59499cde6e,Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments,"Human3.6M:
+Large Scale Datasets and Predictive Methods
+for 3D Human Sensing in Natural Environments
+Catalin Ionescu∗†‡, Dragos Papava∗‡, Vlad Olaru∗, Cristian Sminchisescu§∗"

+09df62fd17d3d833ea6b5a52a232fc052d4da3f5,Mejora de Contraste y Compensación en Cambios de la Iluminación,"ISSN: 1405-5546
+Instituto Politécnico Nacional
+México
+Rivas Araiza, Edgar A.; Mendiola Santibañez, Jorge D.; Herrera Ruiz, Gilberto; González Gutiérrez,
+Carlos A.; Trejo Perea, Mario; Ríos Moreno, G. J.
+Mejora de Contraste y Compensación en Cambios de la Iluminación
+Instituto Politécnico Nacional
+Distrito Federal, México
+Disponible en: http://www.redalyc.org/articulo.oa?id=61509703
+Cómo citar el artículo
+Número completo
+Más información del artículo
+Página de la revista en redalyc.org
+Sistema de Información Científica
+Red de Revistas Científicas de América Latina, el Caribe, España y Portugal
+Proyecto académico sin fines de lucro, desarrollado bajo la iniciativa de acceso abierto"

+093b6af0e5f00f9578088a49822d8d500283cab0,Human visual behaviour for collaborative human-machine interaction,"Human Visual Behaviour for
+Collaborative Human-Machine
+Interaction
+Andreas Bulling
+Perceptual User Interfaces
+Group
+Max Planck Institute for
+Informatics
+Saarbr¨ucken, Germany
+Permission to make digital or hard copies of all or part of this work for
+personal or classroom use is granted without fee provided that copies are not
+made or distributed for profit or commercial advantage and that copies bear
+this notice and the full citation on the first page. Copyrights for components"

+09e3967a34cca8dc0f00c9ee7a476a96812a55e0,1 Machine Learning Methods for Social Signal Processing,"Machine Learning Methods for
+Social Signal Processing
+Ognjen Rudovic, Mihalis A. Nicolaou and Vladimir Pavlovic
+Introduction
+In this chapter we focus on systematization, analysis, and discussion of recent
+trends in machine learning methods for Social signal processing (SSP)(Pentland
+007). Because social signaling is often of central importance to subconscious de-
+ision making that affects everyday tasks (e.g., decisions about risks and rewards,
+resource utilization, or interpersonal relationships) the need for automated un-
+derstanding of social signals by computers is a task of paramount importance.
+Machine learning has played a prominent role in the advancement of SSP over
+the past decade. This is, in part, due to the exponential increase of data avail-
+bility that served as a catalyst for the adoption of a new data-driven direction in
+ffective computing. With the dif‌f‌iculty of exact modeling of latent and complex
+physical processes that underpin social signals, the data has long emerged as the
+means to circumvent or supplement expert- or physics-based models, such as the
+deformable musculo-sceletal models of the human body, face or hands and its
+movement, neuro-dynamical models of cognitive perception, or the models of the
+human vocal production. This trend parallels the role and success of machine
+learning in related areas, such as computer vision, c.f., (Poppe 2010, Wright"

+094f5e36dae2602e179f2c1d95a616df3dbe967f,Bilinear classifiers for visual recognition,"Bilinear classifiers for visual recognition
+Hamed Pirsiavash
+Deva Ramanan
+Charless Fowlkes
+Department of Computer Science
+University of California at Irvine"

+0910a4c470a410fac446f4026f7c8ef512ae7427,Hierarchical Question-Image Co-Attention for Visual Question Answering,"Hierarchical Question-Image Co-Attention
+for Visual Question Answering
+Jiasen Lu∗, Jianwei Yang∗, Dhruv Batra∗† , Devi Parikh∗†
+Virginia Tech, † Georgia Institute of Technology
+{jiasenlu, jw2yang, dbatra,"

+09d08e543a9b2fc350cb37e47eb087935c12be16,"A Multimodal, Full-Surround Vehicular Testbed for Naturalistic Studies and Benchmarking: Design, Calibration and Deployment","A Multimodal, Full-Surround Vehicular Testbed for Naturalistic Studies
+nd Benchmarking: Design, Calibration and Deployment
+Akshay Rangesh1, Kevan Yuen1, Ravi Kumar Satzoda1, Rakesh Nattoji Rajaram1,
+Pujitha Gunaratne2, and Mohan M. Trivedi1
+Laboratory for Intelligent and Safe Automobiles (LISA), UC San Diego
+Toyota Collaborative Safety Research Center (CSRC)
+in autonomous"

+09f853ce12f7361c4b50c494df7ce3b9fad1d221,Random Forests for Real Time 3D Face Analysis,"myjournal manuscript No.
+(will be inserted by the editor)
+Random forests for real time 3D face analysis
+Gabriele Fanelli · Matthias Dantone · Juergen Gall · Andrea Fossati ·
+Luc Van Gool
+Received: date / Accepted: date"

+09ba6b87736fa29aae88c5b4cf30f25188e4c6ef,Gaze Estimation in the 3D Space Using RGB-D Sensors,"The final publication is available at Springer via http://dx.doi.org/10.1007/s11263-015-0863-4
+Gaze Estimation in the 3D Space Using RGB-D sensors
+Towards Head-Pose And User Invariance
+Kenneth A. Funes-Mora · Jean-Marc Odobez
+Received: 19 November 2014 / Accepted: 23 September 2015"

+09edf114f8764c82713f8dd35b1b32ad83ecaa17,Large-Margin Learning of Compact Binary Image Encodings,"MANUSCRIPT
+Large-margin Learning of Compact Binary Image
+Encodings
+Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel"

+09b0040ad09d61f3403c57c437c03271f8614add,HUMAN ACTIVITY RECOGNITION AND GYMNASTICS ANALYSIS THROUGH DEPTH IMAGERY by,"HUMAN ACTIVITY RECOGNITION AND
+GYMNASTICS ANALYSIS THROUGH
+DEPTH IMAGERY
+Brian J. Reily"

+09750c9bbb074bbc4eb66586b20822d1812cdb20,Estimation of the neutral face shape using Gaussian Mixture Models,"978-1-4673-0046-9/12/$26.00 ©2012 IEEE
+ICASSP 2012"

+09e15bb266da86d0a9525d2a94ac0b38f0b53b88,Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts,"Detect What You Can: Detecting and Representing Objects using Holistic
+Models and Body Parts
+Xianjie Chen1, Roozbeh Mottaghi2, Xiaobai Liu1, Sanja Fidler3, Raquel Urtasun3, Alan Yuille1
+University of California, Los Angeles 2Stanford University 3University of Toronto"

+0956a3c628959afcf870f5d7ec581160a4aa5221,LIFEisGAME Prototype: A Serious Game about Emotions for Children with Autism Spectrum Disorders,"Volume 11, Number 3, 191 – 211
+LIFEisGAME Prototype: A Serious Game about Emotions
+for Children with Autism Spectrum Disorders
+Samanta Alves1, António Marques2, Cristina Queirós∗1 and Verónica Orvalho3
+Psychosocial
+Rehabilitation
+Laboratory, Faculty of
+Psychology and
+Educational Sciences,
+Porto University
+(Portugal)
+Psychosocial
+Rehabilitation
+Laboratory, School of
+Allied Health Sciences,
+Porto Polytechnic
+Institute
+(Portugal)
+Porto
+Interactive"

+09749e7b0ae6bd9ab37671fcc4f0e7a7bcf9ff2e,Perceptual enhancement of emotional mocap head motion: An experimental study,"Perceptual Enhancement of Emotional Mocap Head Motion: An Experimental
+Study
+Yu Ding
+Univeristy of Houston
+Houston, TX, USA
+Lei Shi
+Univeristy of Houston
+Houston, TX, USA
+Zhigang Deng
+Univeristy of Houston
+Houston, TX, USA"

+097f674aa9e91135151c480734dda54af5bc4240,Face Recognition Based on Multiple Region Features,"Proc. VIIth Digital Image Computing: Techniques and Applications, Sun C., Talbot H., Ourselin S. and Adriaansen T. (Eds.), 10-12 Dec. 2003, Sydney
+Face Recognition Based on Multiple Region Features
+Jiaming Li, Geoff  Poulton, Ying Guo,  Rong-Yu Qiao
+CSIRO Telecommunications & Industrial Physics
+Australia
+Tel: 612 9372 4104, Fax: 612 9372 4411, Email:"

+5d0e11844f1a210f16025e990de938f6732672ab,Distance to Center of Mass Encoding for Instance Segmentation,"Distance to Center of Mass Encoding for Instance Segmentation
+Thomio Watanabe
+University of Sao Paulo
+Denis Wolf
+University of Sao Paulo"

+5da740682f080a70a30dc46b0fc66616884463ec,Real-Time Head Pose Estimation Using Multi-variate RVM on Faces in the Wild,"Real-Time Head Pose Estimation Using
+Multi-Variate RVM on Faces in the Wild
+Mohamed Selim, Alain Pagani, Didier Stricker
+Augmented Vision Research Group,
+German Research Center for Artificial Intelligence (DFKI),
+Tripstaddterstr. 122, 67663 Kaiserslautern, Germany
+Technical University of Kaiserslautern
+http://www.av.dfki.de"

+5dc003a75a302761778cb1c15d796e3d90dd9322,Bayesian Fisher's Discriminant for Functional Data,"Bayesian Fisher’s Discriminant for Functional Data
+Yao-Hsiang Yang ∗, Lu-Hung Chen†, Chieh-Chih Wang‡, and Chu-Song Chen §
+December 10, 2014"

+5d1608e03ab9c529d0b05631f9d2a3afcbf1c3e3,Sparsity and Robustness in Face Recognition,"Sparsity and Robustness in Face Recognition
+John Wright, Arvind Ganesh, Allen Yang, Zihan Zhou, and Yi Ma
+Background. This note concerns the use of techniques for sparse signal representation and sparse
+from the paper [WYG+09], which showed how, under certain technical conditions, one could cast
+the face recognition problem as one of seeking a sparse representation of a given input face image
+in terms of a “dictionary” of training images and images of individual pixels. To be more precise,
+the method of [WYG+09] assumes access to a suf‌f‌icient number of well-aligned training images of
+each of the k subjects. These images are stacked as the columns of matrices A1, . . . , Ak. Given a
+new test image y, also well aligned, but possibly subject to illumination variation or occlusion, the
+method of [WYG+09] seeks to represent y as a sparse linear combination of the database as whole.
+Writing A = [A1 | ··· | Ak], this approach solves
+(cid:107)x(cid:107)1 + (cid:107)e(cid:107)1
+subj. to Ax + e = y.
+minimize
+the identity of the test image y the index whose sparse coef‌f‌icients minimize the residual:
+ˆi = arg min
+(cid:107)y − Aixi − e(cid:107)2.
+This approach demonstrated successful results in laboratory settings (fixed pose, varying illumi-
+nation, moderate occlusion) in [WYG+09], and was extended to more realistic settings (involving
+moderate pose and misalignemnt) in [WWG+11]. For the sake of clarity, we repeat the above"

+5d80149e005894ab57f47e667f3e060e247d8e43,Lip reading using CNN and LSTM,"Lip reading using CNN and LSTM
+Amit Garg
+Jonathan Noyola
+Sameep Bagadia"

+5df11c59e3b47189486445f5833675bf08359bfe,Influence of Image Classification Accuracy on Saliency Map Estimation,"IET Research Journals
+Brief Paper
+Influence of Image Classification Accuracy
+on Saliency Map Estimation
+Taiki Oyama1 Takao Yamanaka1
+Department of Information & Communication Sciences, Sophia University, 7-1 Kioi-cho, Chiyoda-ku, Tokyo, 102-0094, Japan
+* E-mail:
+ISSN 1751-8644
+doi: 0000000000
+www.ietdl.org"

+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"

+5d04bd7104f08f7fb91967613ffc519c27641e99,Bound to Lose: Physical Incapacitation Increases the Conceptualized Size of an Antagonist in Men,"Bound to Lose: Physical Incapacitation Increases the
+Conceptualized Size of an Antagonist in Men
+Daniel M. T. Fessler*, Colin Holbrook
+Department of Anthropology and Center for Behavior, Evolution, and Culture, University of California Los Angeles, Los Angeles, California, United States of America"

+5d14cc415a93e6f3a625ed7794e1fdcf99ea5713,Predicting Face Recognition Performance Using Image Quality,"Predicting Face Recognition Performance Using
+Image Quality
+Abhishek Dutta, Raymond Veldhuis, Senior Member, IEEE and Luuk Spreeuwers,"

+5da53a17165fcc64e8fb6e9ca532bfb6d95ff622,RSCM: Region Selection and Concurrency Model for Multi-Class Weather Recognition,"RSCM: Region Selection and Concurrency Model
+for Multi-Class Weather Recognition
+Di Lin, Cewu Lu, Member, IEEE, Hui Huang, Member, IEEE, and Jiaya Jia, Senior Member, IEEE
+ondition"

+5d185d82832acd430981ffed3de055db34e3c653,A Fuzzy Reasoning Model for Recognition of Facial Expressions,"A Fuzzy Reasoning Model for Recognition
+of Facial Expressions
+Oleg Starostenko1, Renan Contreras1, Vicente Alarcón Aquino1, Leticia Flores Pulido1,
+Jorge Rodríguez Asomoza1, Oleg Sergiyenko2, and Vira Tyrsa3
+Research Center CENTIA, Department of Computing, Electronics and Mechatronics,
+Universidad de las Américas, 72820, Puebla, Mexico
+{oleg.starostenko; renan.contrerasgz; vicente.alarcon; leticia.florespo;
+Engineering Institute, Autonomous University of Baja California, Blvd. Benito Juárez,
+Insurgentes Este, 21280, Mexicali, Baja California, Mexico
+Universidad Politécnica de Baja California, Mexicali, Baja California, Mexico"

+5d90f06bb70a0a3dced62413346235c02b1aa086,Learning Multiple Layers of Features from Tiny Images,"Learning Multiple Layers of Features from Tiny Images
+Alex Krizhevsky
+April 8, 2009"

+5d233e6f23b1c306cf62af49ce66faac2078f967,Optimal Geometrical Set for Automated Marker Placement to Virtualized Real-Time Facial Emotions,"RESEARCH ARTICLE
+Optimal Geometrical Set for Automated
+Marker Placement to Virtualized Real-Time
+Facial Emotions
+Vasanthan Maruthapillai, Murugappan Murugappan*
+School of Mechatronic Engineering, Universiti Malaysia Perlis, 02600, Ulu Pauh, Arau, Perlis, West Malaysia"

+5da0224590d91defe8c75db0ab5e12d50b6ab6f3,NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems,"NMTPY: A FLEXIBLE TOOLKIT FOR ADVANCED
+NEURAL MACHINE TRANSLATION SYSTEMS
+Ozan Caglayan, Mercedes García-Martínez, Adrien Bardet, Walid Aransa,
+Fethi Bougares, Loïc Barrault
+Laboratoire d’Informatique de l’Université du Maine (LIUM)
+Language and Speech Technology (LST) Team
+Le Mans, France"

+5da43ff9c246ae37d9006bba3406009cb4fb1dcf,Lifelong Machine Learning Lifelong Machine Learning,"Lifelong Machine Learning
+November, 2016
+Zhiyuan Chen and Bing Liu
+Draft : This is an early draft of the book.
+Zhiyuan Chen and Bing Liu. Lifelong Machine Learning.
+Morgan & Claypool Publishers, Nov 2016.
+LifelongMachineLearningZhiyuan ChenBing Liu"

+5dcfb84ab3f5d5f1dd02f59e45154c9710de97b2,On the Latent Variable Interpretation in Sum-Product Networks,"On the Latent Variable Interpretation in
+Sum-Product Networks
+Robert Peharz, Robert Gens, Franz Pernkopf, Senior Member, IEEE, and Pedro Domingos"

+5db46dda9f0f08220d49a5db1204f149bd4f6a4a,Engaging Image Captioning Via Personality,"ENGAGING IMAGE CAPTIONING VIA PERSONALITY
+Kurt Shuster, Samuel Humeau, Hexiang Hu, Antoine Bordes, Jason Weston
+Facebook AI Research"

+5db075a308350c083c3fa6722af4c9765c4b8fef,The Novel Method of Moving Target Tracking Eyes Location based on SIFT Feature Matching and Gabor Wavelet Algorithm,"The Novel Method of Moving Target Tracking Eyes
+Location based on SIFT Feature Matching and Gabor
+Wavelet Algorithm
+* Jing Zhang, Caixia Yang, Kecheng Liu
+College of Computer and Information Engineering, Nanyang Institute of Technology,
+Henan Nanyang, 473004, China
+* Tel.: 0086+13838972861
+* E-mail:
+Sensors & Transducers, Vol. 154, Issue 7, July 2013, pp. 129-137
+SSSeeennnsssooorrrsss   &&&   TTTrrraaannnsssddduuuccceeerrrsss
+© 2013 by IFSA
+http://www.sensorsportal.com
+Received: 28 April 2013   /Accepted: 19 July 2013   /Published: 31 July 2013"

+5d7de2eb2ee99798bfb2e50ed5169e3b8a35469a,Design of a Three-dimensional Face Recognition System,"The Open Automation and Control Systems Journal, 2015, 7, 587-590
+Design of a Three-Dimensional Face Recognition System
+Send Orders for Reprints to
+Open Access
+Wang Xuechun* and Wang Zhaoping
+School of Information Engineering, Huanghe Science and Technology College, Zhengzhou, Henan, 450006, P.R. China"

+5d7f8eb73b6a84eb1d27d1138965eb7aef7ba5cf,Robust Registration of Dynamic Facial Sequences,"Robust Registration of Dynamic Facial Sequences
+Evangelos Sariyanidi, Hatice Gunes, and Andrea Cavallaro"

+5db4fe0ce9e9227042144758cf6c4c2de2042435,Recognition of Facial Expression Using Haar Wavelet Transform,"INTERNATIONAL JOURNAL OF ELECTRICAL AND ELECTRONIC SYSTEMS RESEARCH, VOL.3, JUNE 2010
+Recognition of Facial Expression Using Haar
+Wavelet Transform
+M. Satiyan,  M.Hariharan,  R.Nagarajan
+paper
+features
+investigates"

+5d165ff5b0b389e32809c17838a2afc218a91d62,Object Detectors Emerge in Deep Scene CNNs,"Published as a conference paper at ICLR 2015
+OBJECT DETECTORS EMERGE IN DEEP SCENE CNNS
+Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, Antonio Torralba
+Computer Science and Artificial Intelligence Laboratory, MIT"

+5d7f9e1463b596eb5d77865a8b1a0e149215303b,A Hidden Markov Model-based Approach for Face Detection and Recognition a Hidden Markov Model-based Approach for Face Detection and Recognition,"AHiddenMarkovModel-BasedApproach
+forFaceDetectionandRecognition
+ATHESIS
+Presentedto
+TheAcademicFaculty
+AraNe(cid:12)an
+InPartialFul(cid:12)llment
+oftheRequirementsfortheDegreeof
+DoctorofPhilosophyinElectricalEngineering
+GeorgiaInstituteofTechnology
+August,
"

+5d5cd6fa5c41eb9d3d2bab3359b3e5eb60ae194e,Face Recognition Algorithms,"Face Recognition Algorithms
+Proyecto Fin de Carrera
+June 16, 2010
+Ion Marqu´es
+Supervisor:
+Manuel Gra˜na"

+5d09d5257139b563bd3149cfd5e6f9eae3c34776,Pattern recognition with composite correlation filters designed with multi-objective combinatorial optimization,"Optics Communications 338 (2015) 77–89
+Contents lists available at ScienceDirect
+Optics Communications
+journal homepage: www.elsevier.com/locate/optcom
+Pattern recognition with composite correlation filters designed with
+multi-objective combinatorial optimization
+Victor H. Diaz-Ramirez a,n, Andres Cuevas a, Vitaly Kober b, Leonardo Trujillo c,
+Abdul Awwal d
+Instituto Politécnico Nacional – CITEDI, Ave. del Parque 1310, Mesade Otay, Tijuana B.C. 22510, México
+Department of Computer Science, CICESE, Carretera Ensenada-Tijuana 3918, Ensenada B.C. 22860, México
+Instituto Tecnológico de Tijuana, Blvd. Industrial y Ave. ITR TijuanaS/N, Mesa de Otay, Tijuana B.C. 22500, México
+d National Ignition Facility, Lawrence Livermore National Laboratory, Livermore, CA 94551, USA
+r t i c l e i n f o
+b s t r a c t
+Article history:
+Received 12 July 2014
+Accepted 16 November 2014
+Available online 23 October 2014
+Keywords:
+Object recognition"

+5d7395085f2636dd2b6262bc7f3fef14058f4765,Regularizing Deep Networks by Modeling and Predicting Label Structure,"Regularizing Deep Networks by Modeling and Predicting Label Structure
+Mohammadreza Mostajabi
+Michael Maire
+Gregory Shakhnarovich
+Toyota Technological Institute at Chicago"

+5d197c8cd34473eb6cde6b65ced1be82a3a1ed14,A Face Image Database for Evaluating Out-of-Focus Blur,"0AFaceImageDatabaseforEvaluatingOut-of-FocusBlurQiHan,QiongLiandXiamuNiuHarbinInstituteofTechnologyChina1.IntroductionFacerecognitionisoneofthemostpopularresearchfieldsofcomputervisionandmachinelearning(Tores(2004);Zhaoetal.(2003)).Alongwithinvestigationoffacerecognitionalgorithmsandsystems,manyfaceimagedatabaseshavebeencollected(Gross(2005)).Facedatabasesareimportantfortheadvancementoftheresearchfield.Becauseofthenonrigidityandcomplex3Dstructureofface,manyfactorsinfluencetheperformanceoffacedetectionandrecognitionalgorithmssuchaspose,expression,age,brightness,contrast,noise,blurandetc.Someearlyfacedatabasesgatheredunderstrictlycontrolledenvironment(Belhumeuretal.(1997);Samaria&Harter(1994);Turk&Pentland(1991))onlyallowslightexpressionvariation.Toinvestigatetherelationshipsbetweenalgorithms’performanceandtheabovefactors,morefacedatabaseswithlargerscaleandvariouscharacterswerebuiltinthepastyears(Bailly-Bailliereetal.(2003);Flynnetal.(2003);Gaoetal.(2008);Georghiadesetal.(2001);Hallinan(1995);Phillipsetal.(2000);Simetal.(2003)).Forinstance,The""CAS-PEAL"",""FERET"",""CMUPIE"",and""YaleB""databasesincludevariousposes(Gaoetal.(2008);Georghiadesetal.(2001);Phillipsetal.(2000);Simetal.(2003));The""HarvardRL"",""CMUPIE""and""YaleB""databasesinvolvemorethan40differentconditionsinillumination(Georghiadesetal.(2001);Hallinan(1995);Simetal.(2003));Andthe""BANCA"",and""NDHID""databasescontainover10timesgathering(Bailly-Bailliereetal.(2003);Flynnetal.(2003)).Thesedatabaseshelpresearcherstoevaluateandimprovetheiralgorithmsaboutfacedetection,recognition,andotherpurposes.Blurisnotthemostimportantbutstillanotablefactoraffectingtheperformanceofabiometricsystem(Fronthaleretal.(2006);Zamanietal.(2007)).Themainreasonsleadingblurconsistinout-of-focusofcameraandmotionofobject,andtheout-of-focusblurismoresignificantintheapplicationenvironmentoffacerecognition(Eskicioglu&Fisher(1995);Kimetal.(1998);Tanakaetal.(2007);Yitzhaky&Kopeika(1996)).Toinvestigatetheinfluenceofbluronafacerecognitionsystem,afaceimagedatabasewithdifferentconditionsofclarityandefficientblurevaluatingalgorithmsareneeded.Thischapterintroducesanewfacedatabasebuiltforthepurposeofblurevaluation.Theapplicationenvironmentsoffacerecognitionareanalyzedfirstly,thenaimagegatheringschemeisdesigned.Twotypicalgatheringfacilitiesareusedandthefocusstatusaredividedinto11steps.Further,theblurassessmentalgorithmsaresummarizedandthecomparisonbetweenthemisraisedonthevarious-claritydatabase.The7www.intechopen.com"

+5da2ae30e5ee22d00f87ebba8cd44a6d55c6855e,"When facial expressions do and do not signal minds: The role of face inversion, expression dynamism, and emotion type.","This is an Open Access document downloaded from ORCA, Cardiff University's institutional
+repository: http://orca.cf.ac.uk/111659/
+This is the author’s version of a work that was submitted to / accepted for publication.
+Citation for final published version:
+Krumhuber, Eva G, Lai, Yukun, Rosin, Paul and Hugenberg, Kurt 2018. When facial expressions
+Publishers page:
+Please note:
+Changes made as a result of publishing processes such as copy-editing, formatting and page
+numbers may not be reflected in this version. For the definitive version of this publication, please
+refer to the published source. You are advised to consult the publisher’s version if you wish to cite
+this paper.
+This version is being made available in accordance with publisher policies. See
+http://orca.cf.ac.uk/policies.html for usage policies. Copyright and moral rights for publications
+made available in ORCA are retained by the copyright holders."

+31625522950e82ad4dffef7ed0df00fdd2401436,Motion Representation with Acceleration Images,"Motion Representation with Acceleration Images
+Hirokatsu Kataoka, Yun He, Soma Shirakabe, Yutaka Satoh
+National Institute of Advanced Industrial Science and Technology (AIST)
+Tsukuba, Ibaraki, Japan
+{hirokatsu.kataoka, yun.he, shirakabe-s,"

+3107486fe666a3004b720125bd2b05ff9382fdb8,Generalized two-dimensional linear discriminant analysis with regularization,"JOURNAL OF LATEX CLASS FILES, VOL.
+, NO.
+Generalized two-dimensional linear discriminant
+nalysis with regularization
+Chun-Na Li, Yuan-Hai Shao,Wei-Jie Chen, Zhen Wang and Nai-Yang Deng"

+318e7e6daa0a799c83a9fdf7dd6bc0b3e89ab24a,Sparsity in Dynamics of Spontaneous Subtle Emotions: Analysis and Application,"Sparsity in Dynamics of Spontaneous
+Subtle Emotions: Analysis & Application
+Anh Cat Le Ngo, Member, IEEE, John See, Member, IEEE, Raphael C.-W. Phan, Member, IEEE"

+3137eede6bbada4442e0193dc5918788b7e88aa1,Hyper-class augmented and regularized deep learning for fine-grained image classification,"Hyper-class Augmented and Regularized Deep Learning for Fine-grained Image Classification
+Saining Xie1, Tianbao Yang2 Xiaoyu Wang3, Yuanqing Lin4
+University of California, San Diego. 2University of Iowa. 3Snapchat Research. 4NEC Labs America, Inc.
+Fine-grained image classification (FGIC) is challenging because (i) fine-
+grained labeled data is much more expensive to acquire (usually requir-
+ing domain expertise); (ii) there exists large intra-class and small inter-
+lass variance. In this paper, we propose a systematic framework of learn-
+ing a deep CNN that addresses the challenges from two new perspectives:
+(i) identifying easily annotated hyper-classes inherent in the fine-grained
+data and acquiring a large number of hyper-class-labeled images from read-
+ily available external sources, and formulating the problem into multi-task
+learning, to address the data scarcity issue. We use two common types of
+hyper-classes to augment our data, with one being the super-type hyper-
+lasses that subsume a set of fine-grained classes, and another being named
+factor-type hyper-classes (e.g., different view-points of a car) that explain
+the large intra-class variance. (ii) a novel learning model by exploiting a reg-
+ularization between the fine-grained recognition model and the hyper-class
+recognition model to mitigate the issue of large intra-class variance and im-
+prove the generalization performance. The proposed approach also closely
+relates to attribute-based learning, since one can consider that factor-type"

+31c0968fb5f587918f1c49bf7fa51453b3e89cf7,Deep Transfer Learning for Person Re-identification,"Deep Transfer Learning for Person Re-identification
+Mengyue Geng
+Yaowei Wang
+Tao Xiang
+Yonghong Tian"

+318d7a4bc9c7b1e3a01056815479564ed8ad78a4,University of Oklahoma Graduate College Reinforcement Learning Scheduler for Heterogeneous Multi-core Processors Reinforcement Learning Scheduler for Heterogeneous Multi-core Processors a Thesis Approved for the School of Computer Science,"UNIVERSITY OF OKLAHOMA
+GRADUATE COLLEGE
+REINFORCEMENT LEARNING SCHEDULER FOR HETEROGENEOUS
+MULTI-CORE PROCESSORS
+A THESIS
+SUBMITTED TO THE GRADUATE FACULTY
+in partial fulfillment of the requirements for the
+Degree of
+MASTER OF SCIENCE
+XIAOLEI YAN
+Norman, Oklahoma"

+318eb316c0117059dd47978854cfa92baeaac1d2,Deterministic CUR for Improved Large-Scale Data Analysis: An Empirical Study,"Deterministic CUR for Improved Large-Scale Data Analysis:
+An Empirical Study
+Christian Thurau, Kristian Kersting, and Christian Bauckhage
+Fraunhofer IAIS, Germany"

+3174fceef3cf09ac35e8d1eb4e1b8b73a3b2c713,Unsupervised learning from videos using temporal coherency deep networks,"Computer Vision and Image Understanding
+journal homepage: www.elsevier.com
+Unsupervised learning from videos using temporal coherency deep networks
+Carolina Redondo-Cabreraa,∗∗, Roberto Lopez-Sastrea
+GRAM, University of Alcal´a, Alcal´a de Henares, 28805, Spain"

+31f1c4cf34ce0bb35382c35b2f468cf72bffae0b,Are spatial and global constraints really necessary for segmentation?,"Are Spatial and Global Constraints Really Necessary for Segmentation?
+Aur´elien Lucchi1
+Yunpeng Li1
+Computer Vision Laboratory, EPFL, Lausanne
+Xavier Boix2
+Kevin Smith1
+Pascal Fua1
+BIWI, ETH Zurich"

+3123e97a6b86913d994e44f8d9d5c639e0e2dc96,A Method of Initialization for Nonnegative Matrix Factorization,"A METHOD OF INITIALIZATION FOR NONNEGATIVE MATRIX FACTORIZATION
+Yong-Deok Kim and Seungjin Choi
+Department of Computer Science, POSTECH, Korea
+{karma13,"

+31ea778b6f5c9c2653eb2bed307ac7b02bcc6894,Dense Error Correction via `-Minimization,"IEEE TRANS. ON INFORMATION THEORY, 2009.
+Dense Error Correction via (cid:96)1-Minimization
+John Wright, Member, and Yi Ma, Senior Member."

+316e67550fbf0ba54f103b5924e6537712f06bee,Multimodal semi-supervised learning for image classification,"Multimodal semi-supervised learning
+for image classification
+Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid
+LEAR team, INRIA Grenoble, France"

+31786e6d5187d7bc41678cbd2d1bf8edf1ddfed9,Capture de mouvements humains par capteurs RGB-D. (Capture human motions by RGB-D sensor ),"Capture de mouvements humains par capteurs RGB-D
+Jean-Thomas Masse
+To cite this version:
+Jean-Thomas Masse. Capture de mouvements humains par capteurs RGB-D. Robotique
+[cs.RO]. Universit´e Paul Sabatier - Toulouse III, 2015. Fran¸cais.
+¡ NNT : 2015TOU30361
+HAL Id: tel-01280163
+https://tel.archives-ouvertes.fr/tel-01280163v2
+Submitted on 26 Apr 2017
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destin´ee au d´epˆot et `a la diffusion de documents
+scientifiques de niveau recherche, publi´es ou non,
+´emanant des ´etablissements d’enseignement et de
+recherche fran¸cais ou ´etrangers, des laboratoires"

+31ef5419e026ef57ff20de537d82fe3cfa9ee741,Facial Expression Analysis Based on High Dimensional Binary Features,"Facial Expression Analysis Based on
+High Dimensional Binary Features
+Samira Ebrahimi Kahou, Pierre Froumenty, and Christopher Pal
+´Ecole Polytechique de Montr´eal, Universit´e de Montr´eal, Montr´eal, Canada
+{samira.ebrahimi-kahou, pierre.froumenty,"

+3176ee88d1bb137d0b561ee63edf10876f805cf0,Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation,"Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation
+Sina Honari1, Jason Yosinski2, Pascal Vincent1,4, Christopher Pal3
+University of Montreal, 2Cornell University, 3Ecole Polytechnique of Montreal, 4CIFAR
+{honaris,"

+310a88a60ffa2d8a0fa7ef9fc77fa842d16eed57,View Invariant Gait Recognition,"View Invariant Gait Recognition
+Richard D. Seely, Michela Goffredo, John N. Carter and Mark S. Nixon"

+3151b110ecdcf2105def494bfb0775f21259d7e8,Asymmetric Cuts: Joint Image Labeling and Partitioning,"Asymmetric Cuts : Joint Image Labeling and
+Partitioning
+Thorben Kroeger1, J¨org H. Kappes2, Thorsten Beier1, Ullrich Koethe1 and
+Fred A. Hamprecht1,2
+Multidimensional Image Processing Group, Heidelberg University
+Heidelberg Collaboratory for Image Processing, Heidelberg University"

+31ace8c9d0e4550a233b904a0e2aabefcc90b0e3,Learning Deep Face Representation,"Learning Deep Face Representation
+Haoqiang Fan
+Megvii Inc.
+Zhimin Cao
+Megvii Inc.
+Yuning Jiang
+Megvii Inc.
+Qi Yin
+Megvii Inc.
+Chinchilla Doudou
+Megvii Inc."

+312b807a24b8c30876c1750530b08e4d9627e231,Increasing Trustworthiness of Face Authentication in Mobile Devices by Modeling Gesture Behavior and Location Using Neural Networks,"Article
+Increasing Trustworthiness of Face Authentication in
+Mobile Devices by Modeling Gesture Behavior and
+Location Using Neural Networks
+Blerim Rexha 1 ID , Gresa Shala 2,* and Valon Xhafa 3
+Faculty of Electrical and Computer Engineering, University of Prishtina, Kodra e Diellit p.n.,
+0000 Prishtina, Kosovo;
+Department of Computer Science, Freiburg University, Georges-Köhler Alley 101,
+79110 Freiburg im Breisgau, Germany
+Department of Informatics, Technical University of Munich, Boltzmannstraße 3,
+85748 Garching bei München, Germany;
+* Correspondence:
+Received: 18 January 2018; Accepted: 2 February 2018; Published: 5 February 2018"

+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"

+318c4c25d86511690cc5df7b041a6392e8cc4ea8,Fashion-Gen: The Generative Fashion Dataset and Challenge,"Fashion-Gen: The Generative Fashion Dataset and Challenge
+Negar Rostamzadeh 1 Seyedarian Hosseini 1 2 Thomas Boquet 1 Wojciech Stokowiec 1 Ying Zhang 1
+Christian Jauvin 1 Chris Pal 3 1"

+316bed02e22aa6742dffcd50c29a7365c5a5a437,Representation Learning for Visual-Relational Knowledge Graphs,"Representation Learning for Visual-Relational
+Knowledge Graphs
+Daniel Oñoro-Rubio, Mathias Niepert, Alberto García-Durán, Roberto
+González-Sánchez and Roberto J. López-Sastre*
+NEC Labs Europe, Alcalá de Henares*
+{daniel.onoro, mathias.niepert, alberto.duran,
+https://github.com/nle-ml/mmkb.git"

+317f5a56519df95884cce81cfba180ee3adaf5a5,Operator-In-The-Loop Deep Sequential Multi-camera Feature Fusion for Person Re-identification,"FusionCam C1Cam C2Classical re-id schemeProposed re-idschemeQueryQueryRanked List: Cam 𝐶1Ranked List: Cam 𝐶2Ranked List: Cam 𝐶1OperatorFeedbackRanked List: Cam 𝐶2Fig.1:(Top)Classicalre-idschemewherequeryimage’sfeaturerepresentationisusedtosearcheachcamerainthenetworkinde-pendently.Theretrievedlistsarereturnedtothehumanoperator.(Bottom)Ourproposedsequentialre-idschemewhereoperatorfeedbackregardingtargetsightingisutilizedtowardsbetterre-idperformanceinanonlinefashion.Inthefigure,cameraC1isqueriedfirstandrankedlistofmatchesisobtained.Thecorrectmatch(pinkbox)inretrievedrankedlistisidentifiedbyoperator.Thecorrectmatchisfusedwithqueryimageatfeaturelevel(orangeblock).ThisfusedrepresentationisusedtoquerycameraC2.NoticethatrankingofquerytargetinC2’slistimprovesinourapproachunliketheclassicalversionwhichcannotexploitoperatorinputstoimprovesubsequentqueries.arXiv:1807.07295v3  [cs.CV]  6 Nov 2018"

+3130eb9bfab5e5a095ab989ba3cc6a2ec62c156d,Generating Facial Ground Truth with Synthetic Faces,"Generating Facial Ground Truth with Synthetic Faces
+Rossana Queiroz, Marcelo Cohen, Juliano L. Moreira, Adriana Braun, J´ulio C. Jacques J´unior, Soraia Raupp Musse
+Pontif´ıcia Universidade Cat´olica do Rio Grande do Sul - PUCRS
+Graduate Programme in Computer Science
+Virtual Human Laboratory -www.inf.pucrs.br/∼vhlab
+Porto Alegre, Brazil
+Figure 1. A sample of 3D faces generated by our prototype."

+31b9251dedce1e10467a0a33f56ac4eb05ed0451,Viewpoint-dependent 3D human body posing for sports legacy recovery from images and video,"VIEWPOINT-DEPENDENT 3D HUMAN BODY POSING FOR SPORTS LEGACY
+RECOVERY FROM IMAGES AND VIDEO
+Luis Unzueta, Jon Goenetxea, Mikel Rodriguez and Maria Teresa Linaza
+Vicomtech-IK4, Paseo Mikeletegi, 57, Parque Tecnológico, 20009, Donostia, Spain"

+31ca0d6488a27a140263291c51ec924b8a49967b,"Show, Ask, Attend, and Answer: A Strong Baseline For Visual Question Answering","Show, Ask, Attend, and Answer:
+A Strong Baseline For Visual Question Answering
+Vahid Kazemi
+Ali Elqursh
+Google Research
+600 Amphitheater Parkway
+{vahid,"

+31ea3186aa7072a9e25218efe229f5ee3cca3316,A ug 2 01 7 Reinforced Video Captioning with Entailment Rewards,"Reinforced Video Captioning with Entailment Rewards
+Ramakanth Pasunuru and Mohit Bansal
+UNC Chapel Hill
+{ram,"

+318f7b59fc22d6326f77b24939860b0137bf8e77,Multiple Classifier Boosting and Tree-Structured Classifiers,"Multiple Classifier Boosting and
+Tree-Structured Classifiers
+Tae-Kyun Kim and Roberto Cipolla"

+31470cf8fda53c4460de4373e5ac4544236c44af,Biased information processing as an endophenotype for depression,"PDF hosted at the Radboud Repository of the Radboud University
+Nijmegen
+The following full text is a publisher's version.
+For additional information about this publication click this link.
+http://repository.ubn.ru.nl/handle/2066/127113
+Please be advised that this information was generated on 2017-04-19 and may be subject to
+hange."

+318ee553c61888f2418280cb1d342c698d3444c9,Towards face unlock: on the difficulty of reliably detecting faces on mobile phones,"Towards Face Unlock: On the Difficulty of Reliably
+Detecting Faces on Mobile Phones
+Rainhard D. Findling
+Softwarepark 11
+Hagenberg, Austria
+Rene Mayrhofer
+Softwarepark 11
+Hagenberg, Austria
+Department for Mobile Computing
+Upper Austria University of Applied Sciences
+Department for Mobile Computing
+Upper Austria University of Applied Sciences"

+318985dc2b8d5a1882b709eedeaac4a2e7de1d81,Accelerating Message Passing for MAP with Benders Decomposition,"Accelerating Message Passing for MAP with
+Benders Decomposition
+Julian Yarkony
+Experian Data Lab.
+Shaofei Wang
+Baidu Inc.
+May 15, 2018"

+31fc3b044ec908f7f61386422727ef23784178c0,Enhancing Face Recognition using Average per Region,"International Journal of Computer Applications (0975 – 8887)
+Volume 65– No.3, March 2013
+Enhancing Face Recognition using Average per Region
+Basheer M. Nasef
+Teaching Assistant
+Dept of Computer and Systems Engineering,
+Zagazig University, Sharkia, Egypt
+Ibrahim E. Ziedan
+Dept of Computer and Systems Engineering,
+Professor
+Zagazig University, Sharkia, Egypt"

+31c174f2190889d5792358713e078336926d7ee4,Image Categorization Using Codebooks Built from Scored and Selected Local Features,"Image Categorization using Codebooks Built from
+Scored and Selected Local Features
+Department of Computer Science, Northern Illinois University DeKalb IL USA 60115
+Bala S. Divakaruni and Jie Zhou
+follows
+(M&C)  process"

+31d30089d00d89715167ca4a130a5d262e1d79d3,"Fawzi, Frossard: Measuring the Effect of Nuisance Variables","FAWZI, FROSSARD: MEASURING THE EFFECT OF NUISANCE VARIABLES
+Measuring the effect of nuisance variables
+on classifiers
+Alhussein Fawzi
+Pascal Frossard
+Signal Processing Laboratory (LTS4)
+Ecole Polytechnique Fédérale de
+Lausanne (EPFL)
+Lausanne, Switzerland"

+3137870bf1314e25c2246d4a9d77d941aadd5398,Influence of Positive Instances on Multiple Instance Support Vector Machines,"Influence of Positive Instances on
+Multiple Instance Support Vector Machines
+Nuno Barroso Monteiro1,2, Jo˜ao Pedro Barreto2, and Jos´e Gaspar1
+Institute for Systems and Robotics (ISR/IST), LARSyS, Univ. of Lisbon, Portugal
+Institute for Systems and Robotics, Univ. of Coimbra, Portugal"

+9175b123837ecf55a9aae6c40ba245ddacbc37d5,Various Fusion Schemes to Recognize Simulated and Spontaneous Emotions,"Various Fusion Schemes to Recognize Simulated and Spontaneous
+Emotions
+Sonia Gharsalli1, H´el`ene Laurent2, Bruno Emile1 and Xavier Desquesnes1
+Univ. Orl´eans, INSA CVL,
+PRISME EA 4229, Bourges, France
+on secondment from INSA CVL, Univ. Orl´eans,
+PRISME EA 4229, Bourges, France
+to the Rector of the Academy of Strasbourg, Strasbourg, France
+Keywords:
+Facial Emotion Recognition, Posed Expression, Spontaneous Expression, Early Fusion, Late Fusion, SVM,
+FEEDTUM Database, CK+ Database."

+91811203c2511e919b047ebc86edad87d985a4fa,Expression Subspace Projection for Face Recognition from Single Sample per Person,"Expression Subspace Projection for Face
+Recognition from Single Sample per Person
+Hoda Mohammadzade, Student Member, IEEE, and Dimitrios Hatzinakos, Senior Member, IEEE"

+912f1f57a010194047b6438cc1ea6bec95c6c2b8,ContextVP: Fully Context-Aware Video Prediction,"ContextVP: Fully Context-Aware Video
+Prediction
+Wonmin Byeon1,2,3,4, Qin Wang2,
+Rupesh Kumar Srivastava4, and Petros Koumoutsakos2
+NVIDIA, Santa Clara, CA, USA
+ETH Zurich, Zurich, Switzerland
+The Swiss AI Lab IDSIA, Manno, Switzerland
+NNAISENSE, Lugano, Switzerland"

+91f67f69597a52b905c748a15db427c61f352073,Scale-Aware Pixelwise Object Proposal Networks,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Scale-aware Pixel-wise Object Proposal Networks
+Zequn Jie, Xiaodan Liang, Jiashi Feng, Wen Feng Lu, Eng Hock Francis Tay, Shuicheng Yan
+essential
+proposal"

+91edca64a666c46b0cbca18c3e4938e557eeb21a,Guiding InfoGAN with Semi-supervision,"Guiding InfoGAN with Semi-Supervision
+Adrian Spurr, Emre Aksan, and Otmar Hilliges
+Advanced Interactive Technologies, ETH Zurich
+{adrian.spurr, emre.aksan,"

+912f6a6ac8703e095d21e2049da4871cc6d4d23b,Partitioning Networks with Node Attributes by Compressing Information Flow,"Partitioning Networks with Node Attributes by
+Compressing Information Flow
+Laura M. Smith
+Department of Mathematics
+California State University
+Fullerton, CA
+Kristina Lerman
+Information Sciences Institute
+U. of Southern California
+Marina del Rey, CA 90292
+Linhong Zhu
+Information Sciences Institute
+U. of Southern California
+Marina del Rey, CA 90292
+Allon G. Percus
+Claremont Graduate U.
+Claremont, CA 91711"

+91dda4183c6118de8195e07a623962dbd22cc34e,Representing local binary descriptors with BossaNova for visual recognition,"Representing Local Binary Descriptors with
+BossaNova for Visual Recognition
+Carlos Caetano†, Sandra Avila†, Silvio Guimarães‡, Arnaldo de A. Araújo†
+Federal University of Minas Gerais, NPDI Lab — DCC/UFMG, Minas Gerais, Brazil
+Pontifical Catholic University of Minas Gerais, VIPLAB — ICEI/PUC Minas, Minas Gerais, Brazil
+{carlos.caetano,"

+9117fd5695582961a456bd72b157d4386ca6a174,Recognition Using Dee Networks,"Facial Expression
+n Recognition Using Dee
+ep Neural
+Networks
+Junnan Li and Edmund Y. Lam
+Departm
+ment of Electrical and Electronic Engineering
+he University of Hong Kong, Pokfulam,
+Hong Kong"

+91067f298e1ece33c47df65236853704f6700a0b,Local Binary Pattern and Local Linear Regression for Pose Invariant Face Recognition,"IJSTE - International Journal of Science Technology & Engineering | Volume 2 | Issue 11 | May 2016
+ISSN (online): 2349-784X
+Local Binary Pattern and Local Linear
+Regression for Pose Invariant Face Recognition
+Raju Dadasab Patil
+M. Tech Student
+Shreekumar T
+Associate Professor
+Department of Computer Science & Engineering
+Department of Computer Science & Engineering
+Mangalore Institute of Engineering & Technology, Badaga
+Mangalore Institute of Engineering & Technology, Badaga
+Mijar, Moodbidri, Mangalore
+Mijar, Moodbidri, Mangalore
+Karunakara K
+Professor & Head of Dept.
+Department of Information Science & Engineering
+Sri SidarthaInstitute of Technology, Tumkur"

+91b0081a348d182d616f74a0c9fb80d56acf4198,Exploiting photographic style for category-level image classification by generalizing the spatial pyramid,"Exploiting Photographic Style for Category-Level Image
+Classification by Generalizing the Spatial Pyramid
+Jan C. van Gemert
+Puzzual
+Oudeschans 18
+011LA, Amsterdam, The Netherlands"

+91a7816609f991c1ac45b791c1cd3c6117194bb0,I Know How You Feel: Emotion Recognition with Facial Landmarks,"I Know How You Feel: Emotion Recognition with Facial Landmarks
+Tooploox 2Polish-Japanese Academy of Information Technology 3Warsaw University of Technology
+Ivona Tautkute1,2, Tomasz Trzcinski1,3 and Adam Bielski1"

+919d3067bce76009ce07b070a13728f549ebba49,Time Based Re-ranking for Web Image Search,"International Journal of Scientific and Research Publications, Volume 4, Issue 6, June 2014
+ISSN 2250-3153
+Time Based Re-ranking for Web Image Search
+Ms. A.Udhayabharadhi *, Mr. R.Ramachandran **
+* MCA Student, Sri Manakula Vinayagar Engineering College, Pondicherry-605106
+** Assistant Professor dept of MCA, Sri Manakula Vinayagar Engineering College, Pondicherry-605106"

+91f820e2cb6fb5a8adc83e6065cbdf071aca84bd,What makes Federer look so elegant?,"What makes Federer look so elegant?
+Kuldeep Kulkarni and Vinay Venkataraman"

+91e57667b6fad7a996b24367119f4b22b6892eca,Probabilistic Corner Detection for Facial Feature,"Probabilistic  Corner  Detection  for  Facial  Feature
+Extraction
+Article
+Accepted version
+E. Ardizzone, M. La Cascia, M. Morana
+In Lecture Notes in Computer Science Volume 5716, 2009
+It  is  advisable  to  refer  to  the  publisher's  version  if  you  intend  to  cite
+from the work.
+Publisher: Springer
+http://link.springer.com/content/pdf/10.1007%2F978-3-
+642-04146-4_50.pdf"

+917611cfc0fee3e834d1a6cc13ad5bc18ae428f3,Geometric models with co-occurrence groups,"Geometric Models with Co-occurrence Groups
+Joan Bruna1
+and St´ephane Mallat2
+8/16 rue Paul Vaillant Couturier, 92240, Malakoff - France
+- Zoran France
+- Ecole Polytechnique - CMAP
+Route de Saclay, 91128 Palaiseau - France"

+917bea27af1846b649e2bced624e8df1d9b79d6f,Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt for Mobile and Embedded Applications,"Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt for
+Mobile and Embedded Applications
+Baohua Sun,
+Lin Yang,
+Patrick Dong, Wenhan Zhang,
+Gyrfalcon Technology Inc.
+Jason Dong, Charles Young
+900 McCarthy Blvd. Milpitas, CA 95035"

+91b1a59b9e0e7f4db0828bf36654b84ba53b0557,Simultaneous Hallucination and Recognition of Low-Resolution Faces Based on Singular Value Decomposition,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
+> REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) <
+Simultaneous Hallucination and Recognition of
+Low-Resolution Faces Based on Singular Value
+Decomposition
+Muwei Jian,  Kin-Man Lam*, Senior Member, IEEE
+(SVD)
+for  performing  both"

+911bef7465665d8b194b6b0370b2b2389dfda1a1,Learning Human Optical Flow,"RANJAN, ROMERO, BLACK: LEARNING HUMAN OPTICAL FLOW
+Learning Human Optical Flow
+MPI for Intelligent Systems
+Tübingen, Germany
+Amazon Inc.
+Anurag Ranjan1
+Javier Romero∗,2
+Michael J. Black1"

+91ead35d1d2ff2ea7cf35d15b14996471404f68d,Combining and Steganography of 3D Face Textures,"Combining and Steganography of 3D Face Textures
+Mohsen Moradi and Mohammad-Reza Rafsanjani-Sadeghi"

+91c014ff243ea747ea3a84a9efd4a3e38a7217ee,Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification,"Reinforced Temporal Attention and Split-Rate
+Transfer for Depth-Based Person
+Re-Identification
+Nikolaos Karianakis1, Zicheng Liu1, Yinpeng Chen1, and Stefano Soatto2
+Microsoft, Redmond, USA
+University of California, Los Angeles, USA"

+919e827c449ca77bcff4ce5f2ccbccdab8399ac6,Generative Entity Networks: Disentangling Enti-,"Under review as a conference paper at ICLR 2018
+GENERATIVE ENTITY NETWORKS: DISENTANGLING ENTI-
+TIES AND ATTRIBUTES IN VISUAL SCENES USING PARTIAL
+NATURAL LANGUAGE DESCRIPTIONS
+Anonymous authors
+Paper under double-blind review"

+914fd65d29094e434346806bdddeb17d9468610d,Scene Text Recognition in Mobile Applications by Character Descriptor and Structure Configuration,"IJRET: International Journal of Research in Engineering and Technology        eISSN: 2319-1163 | pISSN: 2321-7308
+SCENE TEXT RECOGNITION IN MOBILE APPLICATIONS BY
+CHARACTER DESCRIPTOR AND STRUCTURE CONFIGURATION
+Sathish Kumar Penchala1, Pallavi S.Umap2
+Assistant Professor, Dept. of Computer Engineering, Dr. D.Y.Patil SOET., Lohegaon, Pune-47, Maharashtra, India
+ME 2nd year, Dept. of Computer Engineering, Dr.D.Y.Patil SOET., Lohegaon, Pune-47, Maharashtra India"

+91d513af1f667f64c9afc55ea1f45b0be7ba08d4,Automatic Face Image Quality Prediction,"Automatic Face Image Quality Prediction
+Lacey Best-Rowden, Student Member, IEEE, and Anil K. Jain, Life Fellow, IEEE"

+91e58c39608c6eb97b314b0c581ddaf7daac075e,Pixel-wise Ear Detection with Convolutional Encoder-Decoder Networks,"Pixel-wise Ear Detection with Convolutional
+Encoder-Decoder Networks
+ˇZiga Emerˇsiˇc 1, Luka Lan Gabriel 2, Vitomir ˇStruc 3 and Peter Peer 1"

+910da5e0afef96c8acca3c6a4314a9ab5121b1e4,Détection d'obstacles multi-capteurs supervisée par stéréovision. (Multi-sensor road obstacle deetection controled by stereovision),"Détection d’obstacles multi-capteurs supervisée par
+stéréovision
+Mathias Perrollaz
+To cite this version:
+Mathias Perrollaz. Détection d’obstacles multi-capteurs supervisée par stéréovision. Vision par ordi-
+nateur et reconnaissance de formes [cs.CV]. Université Pierre et Marie Curie - Paris VI, 2008. Français.
+<tel-00656864>
+HAL Id: tel-00656864
+https://tel.archives-ouvertes.fr/tel-00656864
+Submitted on 5 Jan 2012
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+91ee88754cc7a193d51656a3b53e16389bf4aadb,Fast and accurate algorithm for eye localisation for gaze tracking in low-resolution images,"Fast and Accurate Algorithm for Eye Localization
+for Gaze Tracking in Low Resolution Images
+Anjith George, Member, IEEE, and Aurobinda Routray, Member, IEEE"

+91bdc706ad1d7b246e457870a7eb8caff87ec05a,Face Recognition Using Holistic Based Approach,"International Journal of Emerging Technology and Advanced Engineering
+Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 4, Issue 7, July 2014)
+Face Recognition Using Holistic Based Approach
+1Research Scholar, 2Professor, Department of Information Science and Engineering, SDM CET, Dharwad
+Vandana S. Bhat1, Dr. Jagadeesh D. Pujari2"

+9168b36568b8abffab5b9de029be5941f673dca2,Improving 3D Facial Action Unit Detection with Intrinsic Normalization,"YUDIN, ET AL.: IMPROVING 3D AU DETECTION WITH INTRINSIC NORMALIZATION
+Improving 3D Facial Action Unit Detection
+with Intrinsic Normalization
+Geometric Image Processing Lab
+Technion - Israel Institute of Technology
+Technion City, Haifa, Israel
+Eric Yudin
+Aaron Wetzler
+Matan Sela
+Ron Kimmel"

+916ca7000c022fbd97ea15cc0094f0e53c408b56,Spontaneous and Non-Spontaneous 3D Facial Expression Recognition Using a Statistical Model with Global and Local Constraints,"SPONTANEOUS AND NON-SPONTANEOUS 3D FACIAL EXPRESSION RECOGNITION
+USING A STATISTICAL MODEL WITH GLOBAL AND LOCAL CONSTRAINTS"

+91eae81dbba3013261292296bb929a18d73b447f,Utilization of Interest Point Detectors in Content Based Image Retrieval,"Ročník 2011
+Číslo II
+Utilization of Interest Point Detectors in Content Based Image Retrieval
+M. Zukal 1, P. Číka1
+Department of Telecommunications, Faculty of Electrical Engineering, BUT, Brno,
+E-mail :
+Purkyňova 118, Brno"

+91ddac7d1d63c52cbe30fe27674b9c1e54bc584c,Development of Eye-Blink and Face Corpora for Research in Human Computer Interaction,"(IJACSA) International Journal of Advanced Computer Science and Applications,
+Vol. 6, No. 5, 2015
+Development of Eye-Blink and Face Corpora for
+Research in Human Computer Interaction
+Emmanuel Jadesola Adejoke.
+Dept. of Computer science
+Bingham University
+Nassarawa, Nigeria
+Ibiyemi Tunji Samuel
+Dept. of Electrical Engineering
+University of Ilorin
+Ilorin, Nigeria
+oded
+voluntary
+eye-blink  based
+language  communication  depends"

+9131c990fad219726eb38384976868b968ee9d9c,Deep Facial Expression Recognition: A Survey,"Deep Facial Expression Recognition: A Survey
+Shan Li and Weihong Deng∗, Member, IEEE"

+911505a4242da555c6828509d1b47ba7854abb7a,Improved Active Shape Model for Facial Feature Localization,"IMPROVED ACTIVE SHAPE MODEL FOR FACIAL FEATURE LOCALIZATION
+Hui-Yu Huang and Shih-Hang Hsu
+National Formosa University, Taiwan
+Email:"

+915d4a0fb523249ecbc88eb62cb150a60cf60fa0,Comparison of Feature Extraction Techniques in Automatic Face Recognition Systems for Security Applications,"Comparison of Feature Extraction Techniques in Automatic
+Face Recognition Systems for Security Applications
+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"

+657ae9ecb59cb2a27e57784577a9efb60de81126,The Task Matters: Comparing Image Captioning and Task-Based Dialogical Image Description,"The Task Matters: Comparing Image
+Captioning and Task-Based Dialogical Image Description
+Nikolai Ilinykh, Sina Zarrieß, David Schlangen
+Dialogue Systems Group
+University of Bielefeld
+Germany"

+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"

+656e7c7739e3f334d4f275c71499485501aabc44,A Two-Step Methodology for Human Pose Estimation Increasing the Accuracy and Reducing the Amount of Learning Samples Dramatically,"A two-step methodology for human pose
+estimation increasing the accuracy and reducing
+the amount of learning samples dramatically
+Samir Azrour, Sébastien Piérard, Pierre Geurts, and Marc Van Droogenbroeck
+INTELSIG Laboratory, Department of Electrical Engineering and Computer Science,
+University of Liège, Belgium"

+65eff143b099e53dcf39692c2fb542b0ee1fdfb6,Real-time Scale-invariant Object Recognition from Light Field Imaging,

+65639b79576f22b705a601f062bb6905f0a396af,A Preliminary Investigation into the Impact of Training for Example-Based Facial Blendshape Creation,"EUROGRAPHICS 2018/ O. Diamanti and A. Vaxman
+Short Paper
+A Preliminary Investigation into the Impact of Training for
+Example-Based Facial Blendshape Creation
+Emma Carrigan1, Ludovic Hoyet2, Rachel McDonnell1 and Quentin Avril3
+Graphics Vision and Visualisation Group, Trinity College Dublin, Ireland
+Inria Rennes, France 3 Technicolor"

+65539436abf0eedabeb915a52f787b962722c99a,Satellite Image Classification via Two-Layer Sparse Coding With Biased Image Representation,"Satellite Image Classification via Two-Layer Sparse
+Coding With Biased Image Representation
+Dengxin Dai and Wen Yang, Member, IEEE"

+658c802890c7133e2ade778b5d88b68bcd0dca9c,Learning to Segment via Cut-and-Paste,"Learning to Segment via Cut-and-Paste
+Tal Remez, Jonathan Huang, Matthew Brown
+Google"

+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"

+651125ca22947e95e5be6206c3056988b850266a,Swifter: improved online video scrubbing,"Swifter: Improved Online Video Scrubbing
+Justin Matejka, Tovi Grossman, and George Fitzmaurice
+Autodesk Research, Toronto, Ontario, Canada
+Figure  1.  Scrubbing  behavior  of  a  traditional  streaming  video  player,  the  Swift  interface  [16],  and  our  new  Swifter
+interface, which shows multiple frames around the active timeline location and allows for direct selection of each frame.
+Traditional
+Swift
+Swifter"

+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"

+656a59954de3c9fcf82ffcef926af6ade2f3fdb5,Convolutional Network Representation for Visual Recognition,"Convolutional Network Representation
+for Visual Recognition
+ALI SHARIF RAZAVIAN
+Doctoral Thesis
+Stockholm, Sweden, 2017"

+650f4ccbe7d4aa49ae80e246df394ca6c60894ec,Department of Informatics,"DEPARTMENT OF INFORMATICS
+TECHNISCHE UNIVERSITÄT MÜNCHEN
+Bachelor’s Thesis in Informatics
+Pedestrian detection in urban environments
+ased on vision and depth data
+Andreas Kreutz"

+652d3f33fd0a99808dd646aed228b45eacdaf34f,A Framework for Binding and Retrieving Class-Specific Information to and from Image Patterns Using Correlation Filters,"A Framework for Binding and Retrieving
+Class-Specific Information to and from Image
+Patterns using Correlation Filters
+Vishnu Naresh Boddeti, Student Member, IEEE, and B.V.K Vijaya Kumar, Fellow, IEEE"

+65edab091e437d3b9d093dcb8be7c5dc4ce0fe0f,DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation,"DeepOrgan: Multi-level Deep Convolutional
+Networks for Automated Pancreas Segmentation
+Holger R. Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu,
+Evrim B. Turkbey, and Ronald M. Summers
+Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and
+Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD
+0892-1182, USA"

+65237b5e96c7492a0e5d01ddea5b1d381da408cd,A human-machine collaborative approach to tracking human movement in multi-camera video,"A Human-Machine Collaborative Approach to Tracking
+Human Movement in Multi-Camera Video
+Philip DeCamp
+MIT Media Lab
+0 Ames Street, E15-441
+Cambridge, Massachusetts 02139
+Deb Roy
+MIT Media Lab
+0 Ames Street, E15-488
+Cambridge, Massachusetts 02139"

+656aeb92e4f0e280576cbac57d4abbfe6f9439ea,Use of Image Enhancement Techniques for Improving Real Time Face Recognition Efficiency on Wearable Gadgets,"Journal of Engineering Science and Technology
+Vol. 12, No. 1 (2017) 155 - 167
+© School of Engineering, Taylor’s University
+USE OF IMAGE ENHANCEMENT TECHNIQUES
+FOR IMPROVING REAL TIME FACE RECOGNITION EFFICIENCY
+ON WEARABLE GADGETS
+MUHAMMAD EHSAN RANA1,*, AHMAD AFZAL ZADEH2,
+AHMAD MOHAMMAD MAHMOOD ALQURNEH3
+, 3Asia Pacific University of Technology & Innovation, Kuala Lumpur 57000, Malaysia
+Staffordshire University, Beaconside Stafford ST18 0AB, United Kingdom
+*Corresponding Author:"

+65a858ca95dcfa032e812a7f1fc7ee5bdac88f5b,Using Pre-Trained Models for Fine-Grained Image Classification in Fashion Field,"Using Pre-Trained Models for Fine-Grained Image
+Classification in Fashion Field
+Anna Iliukovich-Strakovskaia
+Moscow Institute of Physics and
+Technology
+Moscow Institute of Physics and
+Alexey Dral
+Technology
+“А” Kerchenskaya st., Moscow,
+17303, Russian Federation
+“А” Kerchenskaya st., Moscow,
+17303, Russian Federation
++7 495 408 45 54
++7 495 408 45 54
+Emeli Dral
+Moscow Institute of Physics and
+Technology & Yandex Data Factory
+“А” Kerchenskaya st., Moscow,
+17303, Russian Federation
++7 495 408 45 54"

+6527cf0b9dbddbd0c6429a35a3cbded3ca336583,MCMC Supervision for People Re-identification in Nonoverlapping Cameras,"MEDEN, LERASLE, SAYD: MCMC TRACKING-BY-REIDENTICATION
+MCMC Supervision for People
+Reidentification in Nonoverlapping Cameras
+Boris Meden1
+Frédéric Lerasle2
+lerasle.laas.fr
+Patrick Sayd1
+CEA, LIST,
+Laboratoire Vision et Ingénierie des
+Contenus,
+BP 94, F-91191 Gif-sur-Yvette, France
+CNRS ; LAAS ;
+Université de Toulouse ; UPS, LAAS ;
+F-31077 Toulouse Cedex 4, France"

+656f05741c402ba43bb1b9a58bcc5f7ce2403d9a,Supervised Learning Approaches for Automatic Structuring of Videos. (Méthodes d'apprentissage supervisé pour la structuration automatique de vidéos),"THÈSEPour obtenir le grade deDOCTEUR DE L’UNIVERSITÉ GRENOBLE ALPESSpécialité : Mathématiques et InformatiqueArrêté ministériel : 7 août 2006Présentée parDanila POTAPOVThèse dirigée par Cordelia SCHMID et codirigée par Zaid HARCHAOUIpréparée au sein de Inria Grenoble Rhône-Alpesdans l'École Doctorale Mathématiques, Sciences et technologies de l'information, InformatiqueSupervised Learning Approaches for Automatic Structuring of VideosThèse soutenue publiquement le « 22 Juillet 2015 »,devant le jury composé de : Prof. Cordelia SCHMID Inria Grenoble Rhône-Alpes, France, Directeur de thèseDr. Zaid HARCHAOUIInria Grenoble Rhône-Alpes, France, Co-encadrant de thèse Prof. Patrick PEREZTechnicolor Rennes, France, RapporteurProf. Ivan LAPTEVInria Paris Rocquencourt, France, Rapporteur, PrésidentDr. Florent PERRONNINFacebook AI Research, Paris, France, ExaminateurDr. Matthijs DOUZEInria Grenoble Rhône-Alpes, France, Examinateur"

+659fc2a483a97dafb8fb110d08369652bbb759f9,Improving the Fisher Kernel for Large-Scale Image Classification,"Improving the Fisher Kernel
+for Large-Scale Image Classification
+Florent Perronnin, Jorge S´anchez, and Thomas Mensink
+Xerox Research Centre Europe (XRCE)"

+656a5d4d84c450792402b3c69eecbdbca4cad4cb,2.1. Imagenet and Related Datasets,"Figure 4: Percent of clean images at different tree depth levels in
+ImageNet. A total of 80 synsets are randomly sampled at every
+tree depth of the mammal and vehicle subtrees. An independent
+group of subjects verified the correctness of each of the images.
+An average of 99.7% precision is achieved for each synset.
+ImageNet
+TinyImage
+LabelMe
+LHill
+LabelDisam
+Clean
+DenseHie
+FullRes
+PublicAvail
+Segmented
+Table 1: Comparison of some of the properties of ImageNet ver-
+sus other existing datasets.
+ImageNet offers disambiguated la-
+els (LabelDisam), clean annotations (Clean), a dense hierarchy
+(DenseHie), full resolution images (FullRes) and is publicly avail-"

+65874dd7220664762b5b25f47460b623a7eb0175,Tree Crown Mapping in Managed Woodlands (Parklands) of Semi-Arid West Africa Using WorldView-2 Imagery and Geographic Object Based Image Analysis,"Sensors 2014, 14, 22643-22669; doi:10.3390/s141222643
+OPEN ACCESS
+sensors
+ISSN 1424-8220
+www.mdpi.com/journal/sensors
+Article
+Tree Crown Mapping in Managed Woodlands (Parklands) of
+Semi-Arid West Africa Using WorldView-2 Imagery and
+Geographic Object Based Image Analysis
+Martin Karlson 1,*, Heather Reese 2,† and Madelene Ostwald 1,3,†
+Centre for Climate Science and Policy Research, Department of Thematic Studies/Environmental
+Change, Linköping University, Linköping 58183, Sweden; E-Mail:
+Section of Forest Remote Sensing, Department of Forest Resource Management,
+Swedish University of Agricultural Sciences, Umeå 901 83, Sweden; E-Mail:
+Centre for Environment and Sustainability, GMV, University of Gothenburg and
+Chalmers University of Technology, Göteborg 405 30, Sweden
+These authors contributed equally to this work.
+*  Author to whom correspondence should be addressed; E-Mail:
+Tel.: +46-1328-2977; Fax: +46-1313-3630.
+External Editor: Assefa M. Melesse"

+6574eaab393aa8d674cd785fab16cae06a53151a,A study on polymorphing superscalar processor dynamically to improve power efficiency,"A Study on Polymorphing Superscalar Processor Dynamically
+to Improve Power Efficiency
+Sudarshan Srinivasan, Rance Rodrigues, Arunachalam Annamalai, Israel Koren and Sandip Kundu
+Department of Electrical and Computer Engineering
+University of Massachusetts at Amherst, MA, USA
+Email: {ssrinivasan, rodrigues, annamalai, koren,"

+65ec52a3e0a0f6a46fd140ff83bb82d7d02a2d45,Learning Hierarchical Features from Generative Models,"Learning Hierarchical Features from Generative Models
+Shengjia Zhao 1 Jiaming Song 1 Stefano Ermon 1"

+656b6133fd671f129fce0091a8dab39c97e604f2,Multiview Discriminative Geometry Preserving Projection for Image Classification,"Hindawi Publishing Corporation
+e Scientific World Journal
+Volume 2014, Article ID 924090, 11 pages
+http://dx.doi.org/10.1155/2014/924090
+Research Article
+Multiview Discriminative Geometry Preserving
+Projection for Image Classification
+Ziqiang Wang, Xia Sun, Lijun Sun, and Yuchun Huang
+School of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
+Correspondence should be addressed to Ziqiang Wang;
+Received 19 December 2013; Accepted 22 January 2014; Published 9 March 2014
+Academic Editors: X. Meng, Z. Zhou, and X. Zhu
+Copyright © 2014 Ziqiang Wang et al. This is an open access article distributed under the Creative Commons Attribution License,
+which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
+In many image classification applications, it is common to extract multiple visual features from different views to describe an image.
+Since different visual features have their own specific statistical properties and discriminative powers for image classification, the
+onventional solution for multiple view data is to concatenate these feature vectors as a new feature vector. However, this simple
+oncatenation strategy not only ignores the complementary nature of different views, but also ends up with “curse of dimensionality.”
+To address this problem, we propose a novel multiview subspace learning algorithm in this paper, named multiview discriminative
+geometry preserving projection (MDGPP) for feature extraction and classification. MDGPP can not only preserve the intraclass"

+65817963194702f059bae07eadbf6486f18f4a0a,WhittleSearch: Interactive Image Search with Relative Attribute Feedback,"http://dx.doi.org/10.1007/s11263-015-0814-0
+WhittleSearch: Interactive Image Search with Relative Attribute
+Feedback
+Adriana Kovashka · Devi Parikh · Kristen Grauman
+Received: date / Accepted: date"

+6581c5b17db7006f4cc3575d04bfc6546854a785,Contextual Person Identification in Multimedia Data,"Contextual Person Identification
+in Multimedia Data
+zur Erlangung des akademischen Grades eines
+Doktors der Ingenieurwissenschaften
+der Fakultät für Informatik
+des Karlsruher Instituts für Technologie (KIT)
+genehmigte
+Dissertation
+Dipl.-Inform. Martin Bäuml
+us Erlangen
+Tag der mündlichen Prüfung:
+8. November 2014
+Hauptreferent:
+Korreferent:
+Prof. Dr. Rainer Stiefelhagen
+Karlsruher Institut für Technologie
+Prof. Dr. Gerhard Rigoll
+Technische Universität München
+KIT – Universität des Landes Baden-Württemberg und nationales Forschungszentrum in der Helmholtz-Gemeinschaft
+www.kit.edu"

+659fc18b1ec79a7437e6e7b1dce145d423e82199,Real time person detection and tracking by mobile robots using RGB-D images,"Real Time Person Detection and Tracking by Mobile Robots using
+RGB-D Images
+Duc My Vo, Lixing Jiang and Andreas Zell"

+65d588e2ff7b4f2903efbeded978885f7da5d0e0,UMPM benchmark: A multi-person dataset with synchronized video and motion capture data for evaluation of articulated human motion and interaction,"UMPM benchmark: a multi-person dataset with synchronized video and motion
+apture data for evaluation of articulated human motion and interaction
+N.P. van der Aa1,2, X. Luo1, G.J. Giezeman1, R.T. Tan1, R.C. Veltkamp1
+{x.luo, g.j.giezeman, r.t.tan,
+Utrecht University
+Noldus Information Technology"

+653d19e64bd75648cdb149f755d59e583b8367e3,"Decoupling ""when to update"" from ""how to update""","Decoupling “when to update” from “how to
+update”
+Eran Malach and Shai Shalev-Shwartz
+School of Computer Science, The Hebrew University, Israel"

+65babb10e727382b31ca5479b452ee725917c739,Label Distribution Learning,"Label Distribution Learning
+Xin Geng*, Member, IEEE"

+62dccab9ab715f33761a5315746ed02e48eed2a0,A Short Note about Kinetics-600,"A Short Note about Kinetics-600
+Jo˜ao Carreira
+Eric Noland
+Andras Banki-Horvath
+Chloe Hillier
+Andrew Zisserman"

+62d1a31b8acd2141d3a994f2d2ec7a3baf0e6dc4,Noise-resistant network: a deep-learning method for face recognition under noise,"Ding et al. EURASIP Journal on Image and Video Processing  (2017) 2017:43
+DOI 10.1186/s13640-017-0188-z
+EURASIP Journal on Image
+nd Video Processing
+R ES EAR CH
+Noise-resistant network: a deep-learning
+method for face recognition under noise
+Yuanyuan Ding1,2, Yongbo Cheng1,2, Xiaoliu Cheng1, Baoqing Li1*, Xing You1 and Xiaobing Yuan1
+Open Access"

+62aeecbe5db3e4ed6b783f4b580157f4f1c8ba45,"Haar like and LBP based features for face, head and people detection in video sequences","Author manuscript, published in ""International Workshop on Behaviour Analysis and Video Understanding (ICVS 2011) (2011)"

+6275aa21331a2712222b7ab2116e9589e21ae82c,Prediction of Manipulation Actions,"Noname manuscript No.
+(will be inserted by the editor)
+Prediction of Manipulation Actions
+Cornelia Ferm¨uller · Fang Wang · Yezhou Yang · Konstantinos Zampogiannis · Yi
+Zhang · Francisco Barranco · Michael Pfeiffer
+the date of receipt and acceptance should be inserted later"

+62694828c716af44c300f9ec0c3236e98770d7cf,Identification of Action Units Related to Affective States in a Tutoring System for Mathematics,"Padrón-Rivera, G., Rebolledo-Mendez, G., Parra, P. P., & Huerta-Pacheco, N. S. (2016). Identification of Action Units Related to
+Identification of  Action Units Related to Affective States in a Tutoring System
+Gustavo Padrón-Rivera1, Genaro Rebolledo-Mendez1*, Pilar Pozos Parra2 and N. Sofia
+Facultad de Estadística e Informática, Universidad Veracruzana, Mexico // 2Universidad Juárez Autónoma de
+Tabasco, Mexico // // // //
+for Mathematics
+Huerta-Pacheco1
+*Corresponding author"

+6225e9c2a9ee47b4d3d58313a839f6e170b48525,Shape Aware Matching of Implicit Surfaces based on Thin Shell Energies,"SHAPE AWARE MATCHING OF IMPLICIT SURFACES BASED ON THIN SHELL
+ENERGIES
+JOS ´E A. IGLESIAS, MARTIN RUMPF, AND OTMAR SCHERZER"

+62e8010e2ac1523d3a3e7e1c13cb34e63e85ce04,Transfer Learning for Action Unit Recognition,"Transfer Learning for Action Unit Recognition
+Yen Khye Lim1, Zukang Liao1, Stavros Petridis1 and Maja Pantic1,2"

+62d5c16760018b08e301a940434c3fc2e862c385,Approach For Palm Vein Blood Vessel Detection Based On Fuzzy Logic,"International Journal of Electronics Engineering Research.
+ISSN 0975-6450 Volume 9, Number 4 (2017) pp. 613-619
+© Research India Publications
+http://www.ripublication.com
+Approach For Palm Vein Blood Vessel Detection
+Based On Fuzzy Logic
+Praveen Kaundal
+Department of E.C.E, PEC, University of Technology
+Chandigarh-160012, India
+Dr. Sukhwinder Singh
+Department of E.C.E, PEC, University of Technology
+Chandigarh-160012, India"

+622949b1aacd316c60a7034c44121c698a3fb6a4,Highway Driving Dataset for Semantic Video Segmentation,"KIM, YIM, AND KIM: HIGHWAY DRIVING DATASET
+Highway Driving Dataset
+for Semantic Video Segmentation
+Byungju Kim
+Junho Yim
+Junmo Kim*
+School of Electrical Engineering
+Korea Advanced Institute of Science
+nd Technology (KAIST),
+South Korea"

+6211ba456908d605e85d102d63b106f1acb52186,Visual Interpretability forDeepLearning,"Zhang et al. / Front Inform Technol Electron Eng
+in press
+Frontiers of Information Technology & Electronic Engineering
+www.jzus.zju.edu.cn; engineering.cae.cn; www.springerlink.com
+ISSN 2095-9184 (print); ISSN 2095-9230 (online)
+E-mail:
+Visual Interpretability for Deep Learning∗
+Quanshi Zhang and Song-Chun Zhu
+(University of California, Los Angeles)
+E-mail:"

+62f0d8446adee6a5e8102053a63a61af07ac4098,Facial point detection using convolutional neural network transferred from a heterogeneous task,"FACIAL POINT DETECTION USING CONVOLUTIONAL NEURAL NETWORK
+TRANSFERRED FROM A HETEROGENEOUS TASK
+Takayoshi Yamashita* Taro Watasue** Yuji Yamauchi* Hironobu Fujiyoshi*
+**Tome R&D
+*Chubu University,
+200, Matsumoto-cho, Kasugai, AICHI"

+62cf8c07ca6c4c7817f6a5682eb2d7cde76198ae,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
+Romain Negrel
+Alexis Lechervy
+Frederic Jurie
+GREYC, CNRS UMR 6072, ENSICAEN
+Université de Caen Basse-Normandie
+France"

+6268ad4bc516a41a30db566e2207079fc483212e,LBP-Based Edge-Texture Features for Object Recognition,"LBP-Based Edge-Texture Features for
+Object Recognition
+Amit Satpathy, Member, IEEE, Xudong Jiang, Senior Member, IEEE, and How-Lung Eng, Member, IEEE"

+62374b9e0e814e672db75c2c00f0023f58ef442c,Frontal face authentication using discriminating,"Frontalfaceauthenticationusingdiscriminatinggridswith
+morphologicalfeaturevectors
+A.Tefas
+C.Kotropoulos
+I.Pitas
+DepartmentofInformatics,AristotleUniversityofThessaloniki
+Box
,Thessaloniki
+EDICSnumbers:-KNOWContentRecognitionandUnderstanding
+-MODAMultimodalandMultimediaEnvironments
+Anovelelasticgraphmatchingprocedurebasedonmultiscalemorphologicaloperations,thesocalled
+morphologicaldynamiclinkarchitecture,isdevelopedforfrontalfaceauthentication.Fastalgorithms
+forimplementingmathematicalmorphologyoperationsarepresented.Featureselectionbyemploying
+linearprojectionalgorithmsisproposed.Discriminatorypowercoe(cid:14)cientsthatweighthematching
+errorateachgridnodearederived.Theperformanceofmorphologicaldynamiclinkarchitecturein
+frontalfaceauthenticationisevaluatedintermsofthereceiveroperatingcharacteristicontheMVTS
+faceimagedatabase.Preliminaryresultsforfacerecognitionusingtheproposedtechniquearealso
+presented.
+Correspondingauthor:I.Pitas
+DRAFT
+September
+6215c5713adeacbb33b9d1c4c739f2b0b50dd17f,Part-based 3d Face Recognition under Pose and Expression Variations,"PART-BASED 3D FACE RECOGNITION UNDER POSE AND EXPRESSION
+VARIATIONS
+Hamdi Dibeklio˘glu
+B.S, in Computer Engineering, Yeditepe University, 2006
+Submitted to the Institute for Graduate Studies in
+Science and Engineering in partial fulfillment of
+the requirements for the degree of
+Master of Science
+Graduate Program in Computer Engineering
+Bo˘gazi¸ci University"

+6273b3491e94ea4dd1ce42b791d77bdc96ee73a8,"Evaluating Appearance Models for Recognition, Reacquisition, and Tracking","Evaluating Appearance Models for Recognition, Reacquisition, and Tracking
+Doug Gray
+Shane Brennan
+Hai Tao
+University of California, Santa Cruz
+156 High St., Santa Cruz, CA 95064
+{dgray, shanerb,"

+62d1b32d67e4a4b58a66cba91629aae5f7968962,Recurrent Neural Networks for Semantic Instance Segmentation,"Recurrent Neural Networks
+for Semantic Instance Segmentation
+Amaia Salvador1, M´ıriam Bellver2, V´ıctor Campos2, Manel Baradad1
+Ferran Marques1 Jordi Torres2 and Xavier Giro-i-Nieto1
+Universitat Polit`ecnica de Catalunya 2Barcelona Supercomputing Center"

+626859fe8cafd25da13b19d44d8d9eb6f0918647,Activity Recognition Based on a Magnitude-Orientation Stream Network,"Activity Recognition based on a
+Magnitude-Orientation Stream Network
+Carlos Caetano, Victor H. C. de Melo, Jefersson A. dos Santos, William Robson Schwartz
+Smart Surveillance Interest Group, Department of Computer Science
+Universidade Federal de Minas Gerais, Belo Horizonte, Brazil"

+6289d2c4c47d7101861153bfe78c92d16cf4581b,A Cross-Core Performance Model for Heterogeneous Many-Core Architectures,"A Cross-Core Performance Model for
+Heterogeneous Many-Core Architectures
+Rui Pinheiro, Nuno Roma, and Pedro Tom´as (cid:63)
+INESC-ID, Instituto Superior T´ecnico, Universidade de Lisboa"

+623da0faea1f98f238936e34f361518829edfdf4,Digital geometry image analysis for medical diagnosis,"Digital Geometry Image Analysis for Medical Diagnosis
+Jiandong Fang    Shiaofen Fang     Jeffrey Huang     Mihran Tuceryan
+Department of Computer and Information Science
+Indiana University Purdue University Indianapolis
+723 W. Michigan St., SL 280
+Indianapolis, IN 46202, USA
+-317-274-9731"

+624077c8c8c9306c12671870cacc0fb13ff20324,"Smart, Sparse Contours to Represent and Edit Images","Sparse, Smart Contours to Represent and Edit Images
+Tali Dekel 1
+Chuang Gan 2
+Dilip Krishnan 1
+Ce Liu 1 William T. Freeman 1,3
+Google Research 2 MIT-Watson AI Lab 3 MIT-CSAIL
+Figure 1. Our method produces high quality reconstructions of images from information along a small number of contours: a source
+(512×512) image in (a) is reconstructed in (c) from gradient information stored at the set of colored contours in (b)2, which are less than
+5% of the pixels. The model synthesizes hair texture, facial lines and shading even in regions where no input information is provided.
+Our model allows for semantically intuitive editing in the contour domain. Top-right: a caricature-like result (e) is created by moving and
+scaling some contours in (d). Bottom-right: hairs are synthesized by pasting a set of hair contours copied from a reference image. Edited
+ontours are marked in green while the original contours in red."

+6236962ce0d627fc23774f0680e77069b9667803,Fitting a Morphable Model to Pose and Shape of a Point Cloud,"Fitting a Morphable Model to Pose and Shape of a Point Cloud
+David C. Schneider, Peter Eisert
+Fraunhofer Heinrich Hertz Institute, Einsteinufer 37, 10587 Berlin, Germany"

+627107c02c2df1366965f11678dd3c4fb14ac9b3,Connecting Images and Natural Language 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,"CONNECTING IMAGES AND NATURAL LANGUAGE
+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
+Andrej Karpathy
+August 2016"

+629722342f719ee413e9bb07072a2fc2b4f09a26,Gender Classification by Information Fusion of Hair and Face,"Gender Classification by Information Fusion
+of Hair and Face
+Zheng Ji, Xiao-Chen Lian and Bao-Liang Lu
+Department of Computer Science and Engineering, Shanghai
+Jiao Tong University 800 Dong Chuan Road,
+Shanghai 200240, China
+. Introduction
+Various gender classification methods have been reported in the literature. These existing
+methods fall into two categories. The first kind of method is the appearance-based approach.
+Golomb et al. [1] used a two-layer neural network with 30 × 30 inputs and directly fed the
+scaled  image  pixels  to  the  network  without  dimensionality  reduction.  Their  database
+ontains only 90 images with half male and half female facial images. Gutta et al. [2] used the
+mixture of experts combining the ensembles of radial basis functions (RBF) networks and a
+decision tree. Xu et al. [3] applied Adaboost to gender classification problem with the feature
+pools  composed  of  a  set  of  linear  projections  utilizing  statistical  moments  up  to  second
+order. Wu et al. [4] also adopted Adaboost. Instead of using threshold weak classifiers, they
+used  looking-up  table  weak  classifiers,  which  are  more  general  and  better  than  simple
+threshold  ones  due  to  stronger  ability  to  model  complex  distribution  of  training  samples.
+Moghaddam and Yang [5] demonstrated that support vector machines (SVMs) work better
+than other classifiers such as ensemble of radial basis function (RBF) networks, classical RBF"

+62e2c431d375bbafd988d53c4d39f240c8b7977b,A Game-Theoretic Probabilistic Approach for Detecting Conversational Groups,"A Game-Theoretic Probabilistic Approach
+for Detecting Conversational Groups
+Sebastiano Vascon1, Eyasu Zemene Mequanint2, Marco Cristani1,3, Hayley Hung4 (cid:63),
+Marcello Pelillo2, and Vittorio Murino1,3
+Dept. of Pattern Analysis & Computer Vision (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy
+Dept. of Environmental Sciences, Informatics and Statistics, University Ca’ Foscari of Venice, Italy
+Dept. of Computer Science, University of Verona, Italy
+Faculty of Electrical Engineering, Mathematics and Computer Science, Technical University of Delft, Netherlands"

+627412bf4cf2706f6dc9530313ecf06bbc532cca,Dissertation Gerard Pons Moll,"Human Pose Estimation from Video and Inertial
+Sensors
+Von der Fakultät für Elektrotechnik und Informatik
+der Gottfried Wilhelm Leibniz Universität Hannover
+zur Erlangung des akademischen Grades
+Doktor-Ingenieur
+(abgekürzt: Dr.-Ing.)
+genehmigte
+Dissertation
+Gerard Pons Moll
+geboren am 25. Oktober 1984 in Barcelona."

+62dd66f9f4995cfdaafb479de50363ce0255b1bd,2 Feature Extraction Based on Wavelet Moments and Moment Invariants in Machine Vision Systems,"We are IntechOpen,
+the world’s leading publisher of
+Open Access books
+Built by scientists, for scientists
+,800
+16,000
+Open access books available
+International  authors and editors
+Downloads
+Our authors are among the
+Countries delivered to
+TOP 1%
+2.2%
+most cited scientists
+Contributors from top 500 universities
+Selection of our books indexed in the Book Citation Index
+in Web of Science™ Core Collection (BKCI)
+Interested in publishing with us?
+Contact
+Numbers displayed above are based on latest data collected."

+621ea1f1e364262348135c803557e7b3454a804e,Generative spatiotemporal modeling of neutrophil behavior,"Accepted to 2018 IEEE International Symposium on Biomedical Imaging
+Copyright ©2018 IEEE
+Generative Spatiotemporal Modeling Of Neutrophil Behavior
+Narita Pandhe(cid:63)
+Balazs Rada†
+Shannon Quinn(cid:63)
+(cid:63) Department of Computer Science
+Department of Infectious Diseases
+University of Georgia"

+62007c30f148334fb4d8975f80afe76e5aef8c7f,Eye In-Painting with Exemplar Generative Adversarial Networks,"Eye In-Painting with Exemplar Generative Adversarial Networks
+Brian Dolhansky, Cristian Canton Ferrer
+Facebook Inc.
+Hacker Way, Menlo Park (CA), USA
+{bdol,"

+62a30f1b149843860938de6dd6d1874954de24b7,Fast Algorithm for Updating the Discriminant Vectors of Dual-Space LDA,"Fast Algorithm for Updating the Discriminant Vectors
+of Dual-Space LDA
+Wenming Zheng, Member, IEEE, and Xiaoou Tang, Fellow, IEEE"

+626c12d6ccb1405c97beca496a3456edbf351643,Conditional Variance Penalties and Domain Shift Robustness,"Conditional Variance Penalties and Domain Shift Robustness
+Christina Heinze-Deml & Nicolai Meinshausen
+Seminar for Statistics
+ETH Zurich
+Zurich, Switzerland"

+62e0380a86e92709fe2c64e6a71ed94d152c6643,Facial emotion recognition with expression energy,"Facial Emotion Recognition With Expression Energy
+Albert Cruz
+Center for Research in
+Intelligent Systems
+16 Winston Chung Hall
+Bir Bhanu
+Center for Research in
+Intelligent Systems
+16 Winston Chung Hall
+Ninad Thakoor
+Center for Research in
+Intelligent Systems
+16 Winston Chung Hall
+Riverside, CA, 92521-0425,
+Riverside, CA, 92521-0425,
+Riverside, CA, 92521-0425,"

+62b90583723174220b26c92bd67f6c422ad75570,Dna-gan: Learning Disentangled Represen-,"Under review as a conference paper at ICLR 2018
+DNA-GAN: LEARNING DISENTANGLED REPRESEN-
+TATIONS FROM MULTI-ATTRIBUTE IMAGES
+Anonymous authors
+Paper under double-blind review"

+62070fbd22b2a4bba830668c2e9720ec4bff4171,Fast human detection using template matching for gradient images and aSC descriptors based on subtraction stereo,"978-1-4799-2341-0/13/$31.00 ©2013 IEEE
+ICIP 2013"

+968c62bb2927ca300ef953644e652ba7d2c2e5e6,Learning person-object interactions for action recognition in still images,"Learning person-object interactions for
+ction recognition in still images
+Vincent Delaitre∗
+´Ecole Normale Sup´erieure
+Josef Sivic*
+INRIA Paris - Rocquencourt
+Ivan Laptev*
+INRIA Paris - Rocquencourt"

+96e7142ab905c54c033696ac3692e85692c43bf3,Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment,"Noname manuscript No.
+(will be inserted by the editor)
+Sparse Illumination Learning and Transfer for
+Single-Sample Face Recognition with Image Corruption and
+Misalignment
+Liansheng Zhuang · Tsung-Han Chan ·
+Allen Y. Yang · S. Shankar Sastry · Yi Ma
+Received: date / Accepted: date"

+9626bcb3fc7c7df2c5a423ae8d0a046b2f69180c,A deep learning approach for action classification in American football video sequences,"UPTEC STS 17033
+Examensarbete 30 hp
+November 2017
+A deep learning approach for
+ction classification in American
+football video sequences
+Jacob Westerberg"

+96e9bc6b54d1c79406cf37ae45fd35ef04d647c6,A Fully Automated System for Sizing Nasal PAP Masks Using Facial Photographs,"A Fully Automated System for Sizing Nasal PAP Masks Using Facial
+Photographs
+Benjamin Johnston Student Member, IEEE and Philip de Chazal Senior Member, IEEE"

+9603b3a4649fd217752972909d627bde8e0a5023,Spectral Hashing With Semantically Consistent Graph for Image Indexing,"Spectral Hashing With Semantically
+Consistent Graph for Image Indexing
+Peng Li, Meng Wang, Member, IEEE, Jian Cheng, Member, IEEE, Changsheng Xu, Senior Member, IEEE, and
+Hanqing Lu, Senior Member, IEEE"

+96d6e0bf752c42ede0170e9b332ca390ac75cd1f,Temporal Hierarchical Dictionary with HMM for Fast Gesture Recognition,"018 24th International Conference on Pattern Recognition (ICPR)
+Beijing, China, August 20-24, 2018
+978-1-5386-3787-6/18/$31.00 ©2018 European Union"

+9696b172d66e402a2e9d0a8d2b3f204ad8b98cc4,Region-Based Facial Expression Recognition in Still Images,"J Inf Process Syst, Vol.9, No.1, March 2013
+pISSN 1976-913X
+eISSN 2092-805X
+Region-Based Facial Expression Recognition in
+Still Images
+Gawed M. Nagi*, Rahmita Rahmat*, Fatimah Khalid* and Muhamad Taufik*"

+9679d15c6699b521740408b2e899c03af89390ac,Dimensionality Reduction for 3d Articulated Body Tracking and Human Action Analysis,"DIMENSIONALITY REDUCTION FOR 3D
+ARTICULATED BODY TRACKING AND HUMAN
+ACTION ANALYSIS
+Leonid Raskin
+Research Supervisors:
+Prof. Ehud Rivlin, Dr. Michael Rudzsky
+Prof. Michael Lindenbaum
+Submitted in Partial Fulfillment of the Requirements for the
+Degree of Doctor of Philosophy
+Technion IIT - Israel Institute of Technology
+Haifa, Israel
+March 2010
+(cid:176) Copyright by Leonid Raskin, 2010
+Technion - Computer Science Department - Ph.D. Thesis  PHD-2010-11 - 2010"

+96390f95a73a6bd495728b6cd2a97554ef187f76,Pan Olympus : Sensor Privacy through Utility Aware,"Proceedings on Privacy Enhancing Technologies ..; .. (..):1–21
+Nisarg Raval, Ashwin Machanavajjhala, and Jerry Pan
+Olympus: Sensor Privacy through Utility Aware
+Obfuscation"

+9630109529870d142fde01341da05967484e906c,Techniques of Facial Synthesis: A Comprehensive Literature Review,"International Journal of Computer Applications (0975 – 8887)
+Volume 61– No.10, January 2013
+Techniques of Facial Synthesis: A
+Comprehensive Literature Review
+Deepti Chandra
+Shri Shankaracharya College
+of Engg. & Technology,  Bhilai,
+Chhattisgarh, India
+Sanjeev  Karmakar
+Bhilai Institute of Technology (BIT)
+Chhattisgarh, Durg 491001, India
+Rajendra  Hegadi
+Pragati College of Engg. &
+Management
+Raipur,Chhattisgarh, India
+realism
+-the  synthesized"

+96f4a1dd1146064d1586ebe86293d02e8480d181,Comparative Analysis of Reranking Techniques for Web Image Search,"COMPARATIVE ANALYSIS OF RERANKING
+TECHNIQUES FOR WEB IMAGE SEARCH
+Suvarna V. Jadhav1, A.M.Bagade2
+,2Department of Information Technology, Pune Institute of Computer Technology, Pune,( India)"

+96723b42451c42ec396381596490143aac8f85cd,A Computer Vision Approach for the Eye Accessing Cue Model Used in Neuro-linguistic Programming,"U.P.B. Sci. Bull., Series C, Vol. 75, Iss. 4, 2013                                                   ISSN 2286 – 3540
+A COMPUTER VISION APPROACH FOR THE EYE
+ACCESSING CUE MODEL USED IN NEURO-LINGUISTIC
+PROGRAMMING
+Ruxandra VRÂNCEANU1, Laura FLOREA2, Corneliu FLOREA3
+This paper investigates the Eye Accessing Cue (EAC) model used in Neuro-
+Linguistic Programming (NLP) and shows how image processing techniques can be
+used to improve the interpretation of this model. An experiment was carried out to
+validate the model by inducing certain eye cues using a set of questions. A simple
+nd  efficient  method  is  proposed  for  automatically  locating  the  eyes  and  the
+orrespondent  EAC.  The  relative  position  between  the  iris  and  the  sclera  is
+determined  using  a  fast  mechanism,  based  on  the  analysis  of  integral  projections
+inside the bounding box of the eye.
+Keywords: Neuro-Linguistic Programming, Eye Detection, Eye Gaze
+. Introduction
+The progress made in image processing and the increase of computational
+apabilities  of  machines  over  the  past  decades  has  led  to  new  opportunities  for
+human-computer  interactions  and  to  the  development  of  systems  capable  of
+utomatically  interpreting  the  facial  attributes  of  a  person.  Such  algorithms  are
+used  in  the  field  of  people  identification  and  description,  in  applications  that"

+96a7f2faf4baa09184deb458a03146805d62beed,Passive Three Dimensional Face Recognition Using Iso-Geodesic Contours and Procrustes Analysis,"Int J Comput Vis (2013) 105:87–108
+DOI 10.1007/s11263-013-0631-2
+Passive Three Dimensional Face Recognition Using Iso-Geodesic
+Contours and Procrustes Analysis
+Sina Jahanbin · Rana Jahanbin · Alan C. Bovik
+Received: 11 November 2011 / Accepted: 11 May 2013 / Published online: 19 June 2013
+© Springer Science+Business Media New York 2013"

+9606b1c88b891d433927b1f841dce44b8d3af066,Principal Component Analysis with Tensor Train Subspace,"Principal Component Analysis with Tensor Train
+Subspace
+Wenqi Wang, Vaneet Aggarwal, and Shuchin Aeron"

+96fdc0131dc80ffa6d7b9c526e07f080414c54ec,1 Paying More A ention to Saliency : Image Captioning with Saliency and Context A ention,"Paying More A(cid:130)ention to Saliency: Image Captioning with
+Saliency and Context A(cid:130)ention
+MARCELLA CORNIA, University of Modena and Reggio Emilia
+LORENZO BARALDI, University of Modena and Reggio Emilia
+GIUSEPPE SERRA, University of Udine
+RITA CUCCHIARA, University of Modena and Reggio Emilia
+Image captioning has been recently gaining a lot of a(cid:138)ention thanks to the impressive achievements
+shown by deep captioning architectures, which combine Convolutional Neural Networks to extract image
+representations, and Recurrent Neural Networks to generate the corresponding captions. At the same time,
+signi(cid:128)cant research e(cid:130)ort has been dedicated to the development of saliency prediction models, which
+an predict human eye (cid:128)xations. Even though saliency information could be useful to condition an image
+aptioning architecture, by providing an indication of what is salient and what is not, research is still struggling
+to incorporate these two techniques. In this work, we propose an image captioning approach in which a
+generative recurrent neural network can focus on di(cid:130)erent parts of the input image during the generation of
+the caption, by exploiting the conditioning given by a saliency prediction model on which parts of the image
+re salient and which are contextual. We show, through extensive quantitative and qualitative experiments on
+large scale datasets, that our model achieves superior performances with respect to captioning baselines with
+nd without saliency, and to di(cid:130)erent state of the art approaches combining saliency and captioning.
+CCS Concepts: •Computing methodologies →Scene understanding; Natural language generation;
+Additional Key Words and Phrases: saliency, visual saliency prediction, image captioning, deep learning."

+9691055b1fcbe626b5bce9d8d43903094a5c0339,Generating an item pool for translational social cognition research: methodology and initial validation.,"Behav Res (2015) 47:228–234
+DOI 10.3758/s13428-014-0464-0
+Generating an item pool for translational social cognition
+research: Methodology and initial validation
+Michael K. Keutmann & Samantha L. Moore &
+Adam Savitt & Ruben C. Gur
+Published online: 10 April 2014
+# Psychonomic Society, Inc. 2014"

+96b1000031c53cd4c1c154013bb722ffd87fa7da,ContextVP: Fully Context-Aware Video Prediction,"ContextVP: Fully Context-Aware Video
+Prediction
+Wonmin Byeon1,2,3,4, Qin Wang2,
+Rupesh Kumar Srivastava4, and Petros Koumoutsakos2
+NVIDIA, Santa Clara, CA, USA
+ETH Zurich, Zurich, Switzerland
+The Swiss AI Lab IDSIA, Manno, Switzerland
+NNAISENSE, Lugano, Switzerland"

+96f0da034d090a3ecadd0fb92333bb681f23ab14,Temporal-Spatial Mapping for Action Recognition,"Temporal-Spatial Mapping for Action Recognition
+Xiaolin Song, Cuiling Lan, Wenjun Zeng, Junliang Xing, Jingyu Yang, and Xiaoyan Sun"

+964e43f4983a42ef3790c265bdce42c1fce56d79,A Virtual Environment Tool for Benchmarking Face Analysis Systems,"A Virtual Environment Tool for Benchmarking Face
+Analysis Systems
+Mauricio Correa+,*, Javier Ruiz-del-Solar+,*, Rodrigo Verschae*
++Department of Electrical Engineering, Universidad de Chile
+*Advanced Mining Technology Center, Universidad de Chile
+{macorrea,"

+968f472477a8afbadb5d92ff1b9c7fdc89f0c009,Firefly-based Facial Expression Recognition,Firefly-based Facial Expression Recognition

+96fc93175169b788acd98f0a676dffab00651cbc,On Matching Faces with Alterations due to Plastic Surgery and Disguise,"On Matching Faces with Alterations due to Plastic Surgery and Disguise
+Saksham Suri1, Anush Sankaran2, Mayank Vatsa1, Richa Singh1
+IIIT - Delhi, India 2IBM Research, Bengaluru, India
+{saksham15082, mayank,"

+9686dcf40e6fdc4152f38bd12b929bcd4f3bbbcc,Emotion Based Music Player,"International Journal of Engineering Research and General Science Volume 3, Issue 1,  January-February, 2015
+ISSN 2091-2730
+Emotion Based Music Player
+Hafeez Kabani1, Sharik Khan2, Omar Khan3, Shabana Tadvi4
+Department of Computer Science and Engineering
+Department of Computer Science and Engineering
+Department of Computer Science and Engineering
+Asst. Professor, Department of Computer Science and Engineering
+M.H Saboo Siddik College of Engineering, University of Mumbai, India"

+96788880589a514c3ae9de29695c0127d6e76b8f,Attention-Based Multimodal Fusion for Video Description,"Attention-Based Multimodal Fusion for Video Description
+Chiori Hori
+Takaaki Hori
+Teng-Yok Lee
+Kazuhiro Sumi∗
+John R. Hershey
+Tim K. Marks
+Mitsubishi Electric Research Laboratories (MERL)
+{chori, thori, tlee, sumi, hershey,"

+3abfab8740ffc66c0c191ce32ce1240062620bea,Continuous Facial Affect Recognition from Videos,"N. Garay, J. Abascal (Eds.): Actas del XII Congreso Internacional Interacción 2011, Lisboa
+Continuous Facial Affect Recognition from Videos
+Sergio Ballano1, Isabelle Hupont1, Eva Cerezo2 and Sandra Baldassarri2
+Aragon Institute of Technology, Department of R&D and Technology Services,
+Zaragoza. 5018, María de Luna 7-8, Spain
+University of Zaragoza, Computer Science and Systems Engineering Department,
+Zaragoza. 50018, María de Luna 3, Spain
+{sballano, {ecerezo,"

+3a7f9b4badc7407273325650763e887ad7b5cc9e,Anthropometric Comparison of Cross-Sectional External Ear between Monozygotic Twin,"Annals of Forensic Research and Analysis
+*Corresponding author
+Rumiza Abd Rashid, Institute of Forensic Sciences,
+Universiti Teknologi MARA, 40450 Shah Alam, Selangor,
+Malaysia; Tel: +60196943080; Fax: +603-55444562 ;
+Email:
+Submitted: 19 November 2014
+Accepted: 20 November 2014
+Published: 22 November 2014
+Copyright
+© 2014 Rashid et al.
+OPEN ACCESS
+Keywords
+•	External ear
+•	Monozygotic twin
+•	Anthropometric measurement
+•	Forensic anthropology
+•	Identification
+Research Article
+Anthropometric Comparison"

+3aad63c3c049eedb1c6da4871faa90e797b933e8,Highway Networks for Visual Question Answering,"Highway Networks for Visual Question Answering
+Aaditya Prakash and James Storer
+Brandeis University"

+3a2fc58222870d8bed62442c00341e8c0a39ec87,Probabilistic Local Variation Segmentation,"Probabilistic Local Variation
+Segmentation
+Michael Baltaxe
+Technion - Computer Science Department - M.Sc. Thesis  MSC-2014-02 - 2014"

+3a4ecdf7d73b0fb392763048aa834a537a495537,Contour-based object detection,"SCHLECHT, OMMER: CONTOUR-BASED OBJECT DETECTION
+Contour-based Object Detection
+Joseph Schlecht
+Björn Ommer
+Interdisciplinary Center for
+Scientific Computing
+University of Heidelberg
+Germany"

+3aef744dad3982a7ae1ad97b4f126b6772fc3d07,Scene-Centric Joint Parsing of Cross-View Videos,"Scene-centric Joint Parsing of Cross-view Videos
+Hang Qi1∗, Yuanlu Xu1∗, Tao Yuan1∗, Tianfu Wu2, Song-Chun Zhu1
+Dept. Computer Science and Statistics, University of California, Los Angeles (UCLA)
+{hangqi, tianfu
+Dept. Electrical and Computer Engineering, NC State University"

+3a8f16d8f7adae8bd0cdc5cc5114dac0b388a9f6,Interpreting Deep Neural Network: Fast Object Localization via Sensitivity Analysis,"Under review as a conference paper at ICLR 2019
+INTERPRETING DEEP NEURAL NETWORK:
+FAST OBJECT LOCALIZATION VIA SENSITIVITY
+ANALYSIS
+Anonymous authors
+Paper under double-blind review"

+3a8023d206613c930cee8e9166fcbbfd743e6634,Enhancing Person Re-identification in a Self-trained Subspace,"Enhancing Person Re-identification in a Self-trained
+Subspace
+Xun Yang, Meng Wang, Richang Hong, Qi Tian, Yong Rui"

+3acfbc2aee9b2ed246a640930ebc2e350621f990,Progressive Boosting for Class Imbalance,"Progressive Boosting for Class Imbalance
+Roghayeh Soleymania,∗, Eric Grangera, Giorgio Fumerab
+Laboratoire d’imagerie, de vision et d’intelligence artificielle, ´Ecole de technologie sup´erieure
+Pattern Recognition and Applications Group, Dept. of Electrical and Electronic Engineering
+Universit´e du Qu´ebec, Montreal, Canada
+University of Cagliari, Cagliari, Italy"

+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,"

+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
+Vicente Ordonez · Xufeng Han · Polina Kuznetsova · Girish Kulkarni ·
+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"

+3a165f7e22f0667b401cba1b2615048193781b4c,Patch-based Object Recognition,"Diplomarbeit im Fach Informatik
+Rheinisch-Westf¨alische Technische Hochschule Aachen
+Lehrstuhl f¨ur Informatik 6
+Prof. Dr.-Ing. H. Ney
+Patch-Based Object Recognition
+vorgelegt von:
+Andre Hegerath
+Matrikelnummer 228760
+Gutachter:
+Prof. Dr.-Ing. H. Ney
+Prof. Dr. T. Seidl
+Betreuer:
+Dipl.-Inform. T. Deselaers"

+3abb51739b90c8bfd665e045b0eeadc87e065b63,Intrinsic 3D Dynamic Surface Tracking based on Dynamic Ricci Flow and Teichm&#xfc;ller Map,"Intrinsic 3D Dynamic Surface Tracking based on Dynamic Ricci Flow and
+Teichm ¨uller Map
+Xiaokang Yu
+Dept of Comp Sci
+Qingdao Univ
+Na Lei
+Dept of Soft and Tech
+Dalian Univ of Tech
+Qingdao, PR China
+Dalian,PR China
+Yalin Wang
+Comp.Sci.& Engin
+Arizona State Univ
+Arizona, USA
+Xianfeng Gu
+Dept of Comp Sci
+Stony Brook Univ
+Stony Brook, USA"

+3ab13f3ee6d66186c33766ac115d57f8b381468f,Stream Clustering with Dynamic Estimation of Emerging Local Densities,"Stream Clustering with Dynamic Estimation of
+Emerging Local Densities
+Ziyin Wang
+Gavriil Tsechpenakis
+Department of Computer and Information Science
+Indiana University-Purdue University Indianapolis
+Department of Computer and Information Science
+Indiana University-Purdue University Indianapolis
+Indianapolis, IN 46202, USA
+Email:
+Indianapolis, IN 46202, USA
+Email:"

+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"

+3a13c964cc7adc5f010164ccb91d150457685a78,LIMO: Lidar-Monocular Visual Odometry,"LIMO: Lidar-Monocular Visual Odometry
+Johannes Graeter1, Alexander Wilczynski1 and Martin Lauer1"

+3aee6a6285869e6db48ad269eb110b542ad23c93,One-Click Annotation with Guided Hierarchical Object Detection,"One - Click Annotation with Guided Hierarchical Object Detection
+Adithya Subramanian, Anbumani Subramanian
+Intel
+Bangalore, India"

+3ac09c2589178dac0b6a2ea2edf04b7629672d81,Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2017
+Wasserstein CNN: Learning Invariant Features
+for NIR-VIS Face Recognition
+Ran He, Senior Member, IEEE, Xiang Wu, Zhenan Sun∗, Member, IEEE, and Tieniu Tan, Fellow, IEEE"

+3a772ed83fdc90e10def9d38f59153aee49cd47b,A Camera Network Tracking (CamNeT) Dataset and Performance Baseline,"A Camera Network Tracking (CamNeT) Dataset and Performance Baseline
+Shu Zhang1, Elliot Staudt1, Tim Faltemier2, and Amit K. Roy-Chowdhury1
+Department of Electrical and Computer Engineering, University of California, Riverside
+Progeny Systems Corporation"

+3a35154f765dcba4e3789a38346bf54bce69e336,Object Hallucination in Image Captioning,"Object Hallucination in Image Captioning
+Anna Rohrbach∗1, Lisa Anne Hendricks∗1,
+Kaylee Burns1 , Trevor Darrell1, Kate Saenko2
+UC Berkeley, 2 Boston University"

+3a60678ad2b862fa7c27b11f04c93c010cc6c430,A Multimodal Database for Affect Recognition and Implicit Tagging,"JANUARY-MARCH 2012
+A Multimodal Database for
+Affect Recognition and Implicit Tagging
+Mohammad Soleymani, Member, IEEE, Jeroen Lichtenauer,
+Thierry Pun, Member, IEEE, and Maja Pantic, Fellow, IEEE"

+3a37f57a9b94fff82ffea4e77803ebe5ebf6401b,ER7ST-algorithm for extracting facial expressions,"068                                                                 The International Arab Journal of Information Technology Vol. 13, No. 6B, 2016
+ER7ST-Algorithm for Extracting Facial Expressions
+Ahmad Tayyar1, Shadi Al-Shehabi2, and Majida AlBakoor3
+Department of Computer Science, Jerash University, Jordan
+Department of C omputer Engineeringm, Türk Hava Kurumu Üniversitesi, Turkey
+Department of Mathematics, Aleppo University, Syria"

+3acdccd33e518f22dcfe36ee29c332a644afdb25,Automatic Detection of Facial Midline And Its Contributions To Facial Feature Extraction,"Electronic Letters on Computer Vision and Image Analysis 6(3):55-66, 2008
+Automatic Detection of Facial Midline
+And Its Contributions To Facial Feature Extraction
+Nozomi NAKAO, Wataru OHYAMA, Tetsushi WAKABAYASHI and Fumitaka KIMURA
+Graduate School of Engineering, Mie University, 1577 Kurimamachiya–cho, Tsu–shi, Mie 514–8507, Japan
+Received 17 April 2007; revised 17 June 2007; accepted 17 September 2007"

+3a92a00b41dc6217f7685148c8a378524fa1a542,Human Pose Estimation Using Exemplars and Part Based Refinement,"Human Pose Estimation
+Using Exemplars and Part Based Refinement
+Yanchao Su1, Haizhou Ai1, Takayoshi Yamashita2, and Shihong Lao2
+Computer Science and Technology Department, Tsinghua, Beijing 100084, China
+Core Technology Center, Omron Corporation, Kyoto 619-0283, Japan"

+3a591a9b5c6d4c62963d7374d58c1ae79e3a4039,Driver Cell Phone Usage Detection from HOV/HOT NIR Images,"Driver Cell Phone Usage Detection From HOV/HOT NIR Images
+Yusuf Artan, Orhan Bulan, Robert P. Loce, and Peter Paul
+Xerox Research Center Webster
+800 Phillips Rd. Webster NY 14580"

+3aa9c8c65ce63eb41580ba27d47babb1100df8a3,Differentiating Duchenne from non-Duchenne smiles using active appearance models,"Annals of the
+University of North Carolina Wilmington
+Master of Science in
+Computer Science and Information Systems"

+3a0a839012575ba455f2b84c2d043a35133285f9,Corpus-Guided Sentence Generation of Natural Images,"Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, pages 444–454,
+Edinburgh, Scotland, UK, July 27–31, 2011. c(cid:13)2011 Association for Computational Linguistics"

+3a192e0391c357124cd2ec2287b1706f523ecdfd,An Introduction to the 3rd Workshop on Egocentric (First-Person) Vision,"An Introduction to the 3rd Workshop on Egocentric (First-person) Vision
+Steve Mann, Kris M. Kitani, Yong Jae Lee, M. S. Ryoo, Alireza Fathi"

+3aa98c08043558fec09bbf731cd7a8f09cf4eacf,Projective Nonnegative Matrix Factorization with α-Divergence,"Projective Nonnegative Matrix Factorization
+with α-Divergence
+Zhirong Yang and Erkki Oja
+Department of Information and Computer Science(cid:2)
+P.O. Box 5400, FI-02015, TKK, Espoo, Finland
+Helsinki University of Technology"

+3a9681e2e07be7b40b59c32a49a6ff4c40c962a2,"Comparing treatment means : overlapping standard errors , overlapping confidence intervals , and tests of hypothesis","Biometrics & Biostatistics International Journal
+Comparing treatment means: overlapping standard
+errors, overlapping confidence intervals, and tests of
+hypothesis"

+3a846704ef4792dd329a5c7a2cb8b330ab6b8b4e,FACE-GRAB: Face recognition with General Region Assigned to Binary operator,"in  any  current  or
+future  media,
+for  all  other  uses,
+© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be
+obtained
+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.
+Pre-print of article that appeared at the IEEE Computer Society Workshop on Biometrics
+010.
+The published article can be accessed from:
+http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5544597"

+3af0a26ef9a4084703b310eb997ca630d0bae237,Automatic conversion of monoscopic image / video to stereo for 3 D visualization,"________________________________________________________________________________________________
+International Journal of Recent Advances in Engineering & Technology (IJRAET)
+Automatic conversion of monoscopic image/ video to stereo for 3D
+visualization
+R.C.Gokul Nanda Kumar, 2Vijaykumar T
+4th sem, M.Tech (Digital Electronics), SJBIT, Bangalore
+Assoc Prof, Dept. of ECE, SJBIT, Bangalore
+Email:
+into  a"

+3aa66f2829ef440842c71a52cdaff30398a90ccb,Pointly-Supervised Action Localization,"International Journal of Computer Vision manuscript No.
+(will be inserted by the editor)
+Pointly-Supervised Action Localization
+Pascal Mettes · Cees G. M. Snoek
+Received: date / Accepted: date"

+3a0673199699cd51abe0f104ebe080f63d1b6d37,Sparse shape registration for occluded facial feature localization,"Sparse Shape Registration for Occluded Facial Feature Localization
+Fei Yang, Junzhou Huang and Dimitris Metaxas"

+3a95eea0543cf05670e9ae28092a114e3dc3ab5c,Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering,"Constructing the L2-Graph for Robust Subspace
+Learning and Subspace Clustering
+Xi Peng, Zhiding Yu, Huajin Tang, Member, IEEE, and Zhang Yi, Senior Member, IEEE"

+3af0400c011700f3958062edfdfed001e592391c,The Intense World Theory – A Unifying Theory of the Neurobiology of Autism,"HUMAN NEUROSCIENCE
+The Intense World Theory – a unifying theory of the
+neurobiology of autism
+Review ARticle
+published: 21 December 2010
+doi: 10.3389/fnhum.2010.00224
+Kamila Markram
+* and
+Henry Markram
+Laboratory of Neural Microcircuits, Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
+Edited by:
+Silvia A. Bunge, University of California
+Berkeley, USA
+Reviewed by:
+Matthew K. Belmonte, Cornell
+University, USA; University of
+Cambridge, UK
+Egidio D’Angelo, University of Pavia,
+Italy
+*Correspondence:"

+3a24c276368fa63473078723ce4bc99c9ea36019,Stability comparison of dimensionality reduction techniques attending to data and parameter variations,"Eurographics Conference on Visualization (EuroVis) (2013)
+M. Hlawitschka and T. Weinkauf (Editors)
+Short Papers
+Stability comparison of dimensionality reduction techniques
+ttending to data and parameter variations
+Francisco J. García-Fernández1,2, Michel Verleysen2, John A. Lee2 and Ignacio Díaz1
+University of Oviedo, Spain
+Université Catholique de Louvain, Belgium"

+3a0cceb1a10697e3e17738579d27708c9c3303a8,Data-Intensive Multimedia Semantic Concept Modeling using Robust Subspace Bagging and MapReduce,"Data-Intensive Multimedia Semantic Concept Modeling
+using Robust Subspace Bagging and MapReduce"

+3af28e9e9e883c235b6418a68bda519b08f9ae26,Implications of Adult Facial Aging on Biometrics,"We are IntechOpen,
+the world’s leading publisher of
+Open Access books
+Built by scientists, for scientists
+,800
+16,000
+Open access books available
+International  authors and editors
+Downloads
+Our authors are among the
+Countries delivered to
+TOP 1%
+2.2%
+most cited scientists
+Contributors from top 500 universities
+Selection of our books indexed in the Book Citation Index
+in Web of Science™ Core Collection (BKCI)
+Interested in publishing with us?
+Contact
+Numbers displayed above are based on latest data collected."

+3a28fe49e7a856ddd60d134696a891ed7bca5962,Small-scale Pedestrian Detection Based on Somatic Topology Localization and Temporal Feature Aggregation,"Small-scale Pedestrian Detection Based on
+Somatic Topology Localization and Temporal
+Feature Aggregation
+Tao Song, Leiyu Sun, Di Xie, Haiming Sun, Shiliang Pu
+Hikvision Research Institute"

+3affe6f9c2244f4b32c1c0f7d7f1d24770d40efe,Evaluating the Resilience of Face Recognition Systems against Malicious Attacks,"OMAR L., IVRISSIMTZIS I.: RESILIENCE OF FACE RECOGNITION SYSTEMS
+Evaluating the Resilience of Face
+Recognition Systems against Malicious
+Attacks
+Luma Omar1
+Ioannis Ivrissimtzis1
+School of Engineering and
+Computing Sciences
+Durham University
+Durham, UK"

+3ab7f06cf8e7e7ca34427f81b766b823647ac117,Explaining Eye Movements During Learning as an Active Sampling Process,"Proceedings of the 2004 International
+Conference on Development and Learning
+Editors: Jochen Triesch and Tony Jebara
+Publisher: UCSD Institute for Neural Computation
+Location: The Salk Institute for Biological Studies
+La Jolla California, USA
+ISBN: 0-615-12704-5"

+3a4f522fa9d2c37aeaed232b39fcbe1b64495134,Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset,"ISSN (Online) 2321 – 2004
+ISSN (Print) 2321 – 5526
+INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN ELECTRICAL, ELECTRONICS, INSTRUMENTATION AND CONTROL ENGINEERING
+Vol. 4, Issue 5, May 2016
+IJIREEICE
+Face Recognition and Retrieval Using Cross
+Age Reference Coding
+Sricharan H S1, Srinidhi K S1, Rajath D N1, Tejas J N1, Chandrakala B M2
+BE, DSCE, Bangalore1
+Assistant Professor, DSCE, Bangalore2"

+54509dbe70cd3015007bbd5fa1fd8793b388319e,Fast Pedestrian Detection by Cascaded Random Forest with Dominant Orientation Templates,"TANG ET AL.: FAST PEDESTRIAN DETECTION BY RANDOM FORESTS WITH DOT
+Fast Pedestrian Detection by Cascaded
+Random Forest with Dominant Orientation
+Templates
+Danhang Tang
+http://www.iis.ee.ic.ac.uk/~dtang
+Yang Liu
+http://www.iis.ee.ic.ac.uk/~yliu
+Tae-Kyun Kim
+http://www.iis.ee.ic.ac.uk/~tkkim
+Department of Electrical Engineering,
+Imperial College,
+London, UK"

+548f94f82bf28efa299a64c2527aad36d76b81af,Adaptive Kernels for Texture Based Analysis of Object Based Classification of Forest Stands,"Adaptive Kernels for Texture Based
+Analysis of Object Based Classification
+of Forest Stands
+Ziab Khan
+A thesis submitted in partial fulfilment for the
+degree of Master of Philosophy
+in the
+Department of Geography
+University of Leicester
+August 26, 2014"

+540b39ba1b8ef06293ed793f130e0483e777e278,Biologically Inspired Emotional Expressions for Artificial Agents,"ORIGINAL RESEARCH
+published: 13 July 2018
+doi: 10.3389/fpsyg.2018.01191
+Biologically Inspired Emotional
+Expressions for Artificial Agents
+Beáta Korcsok 1*, Veronika Konok 2, György Persa 3, Tamás Faragó 2, Mihoko Niitsuma 4,
+Ádám Miklósi 2,5, Péter Korondi 1, Péter Baranyi 6 and Márta Gácsi 2,5
+Department of Mechatronics, Optics and Engineering Informatics, Budapest University of Technology and Economics,
+Budapest, Hungary, 2 Department of Ethology, Eötvös Loránd University, Budapest, Hungary, 3 Institute for Computer Science
+nd Control, Hungarian Academy of Sciences, Budapest, Hungary, 4 Department of Precision Mechanics, Chuo University,
+Tokyo, Japan, 5 MTA-ELTE Comparative Ethology Research Group, Budapest, Hungary, 6 Department of Telecommunications
+nd Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary
+A special area of human-machine interaction,
+the expression of emotions gains
+importance with the continuous development of artificial agents such as social robots or"

+54ed052738ca0f4570c74931857b3275fca9993b,Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation,"Knowledge-Guided Deep Fractal Neural Networks
+for Human Pose Estimation
+Guanghan Ning, Student Member, IEEE, Zhi Zhang, Student Member, IEEE, and Zhihai He, Fellow, IEEE"

+54bb3a17d536c7b88e56d294464f3d54de2ea9b3,Video surveillance online repository (ViSOR): www.openvisor.org,"Video Surveillance Online Repository (ViSOR)
+www.openvisor.org
+Roberto Vezzani, Rita Cucchiara
+Dipartimento di Ingegneria “Enzo Ferrari”
+University of Modena and Reggio Emilia, Italy"

+544829d3b2e878c8f28fae5aa0c226e65ba6242a,Human Body Segmentation with Multi-limb Error-Correcting Output Codes Detection and Graph Cuts Optimization,"Human Pose Recovery and Behavior Analysis Group
+Human Body Segmentation with
+Multi-limb Error-Correcting Output
+Codes Detection and Graph Cuts
+Optimization
+Daniel Sánchez, Juan Carlos Ortega,
+Miguel Ángel Bautista & Sergio Escalera
+All rights reserved HuBPA©"

+54d78ad2ed30557474fabd1d3a9e5db1c76fbeaa,Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking,"Deep Person Re-identification for Probabilistic Data Association in
+Multiple Pedestrian Tracking
+Brian H. Wang1, Yan Wang2, Kilian Q. Weinberger2, and Mark Campbell1"

+54983972aafc8e149259d913524581357b0f91c3,ReSEED: social event dEtection dataset,"ReSEED: Social Event dEtection Dataset
+Timo Reuter
+Universität Bielefeld, CITEC
+Bielefeld, Germany
+ielefeld.de
+Symeon Papadopoulos
+CERTH-ITI
+Thermi, Greece
+Vasilios Mezaris
+CERTH-ITI
+Thermi, Greece
+Philipp Cimiano
+Universität Bielefeld, CITEC
+Bielefeld, Germany
+ielefeld.de"

+541c68e2c65f6dce6179801c9f92dc7803dc71b5,Unsupervised and Transfer Learning under Uncertainty - From Object Detections to Scene Categorization,"Unsupervised and Transfer Learning under Uncertainty:
+from Object Detections to Scene Categorization
+Gr´egoire Mesnil1,2, Salah Rifai1, Antoine Bordes3,
+Xavier Glorot1, Yoshua Bengio1 and Pascal Vincent1
+LISA, Universit´e de Montr´eal, Qu´ebec, Canada
+LITIS, Universit´e de Rouen, France
+CNRS - Heudiasyc UMR 7253, Universit´e de Technologie de Compi`egne, France
+Keywords:
+Unsupervised Learning, Transfer Learning, Deep Learning, Scene Categorization, Object Detection"

+543f21d81bbea89f901dfcc01f4e332a9af6682d,Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks,"Published as a conference paper at ICLR 2016
+UNSUPERVISED AND SEMI-SUPERVISED LEARNING
+WITH CATEGORICAL GENERATIVE ADVERSARIAL
+NETWORKS
+Jost Tobias Springenberg
+University of Freiburg
+79110 Freiburg, Germany"

+54c5e9cded7da1f9dc695f5397d9d1a5ac5350af,Person Re-identification Based on Color Histogram and Spatial Configuration of Dominant Color Regions,"Person Re-identification Based on Color Histogram and Spatial
+Configuration of Dominant Color Regions
+Kwangchol Jang, Sokmin Han, Insong Kim
+College of Computer Science, KIM IL SUNG University, Pyongyang, D.P.R of Korea
+illumination,  pose  and  viewpoint,  camera  parameters.  Being  related"

+54969bcd728b0f2d3285866c86ef0b4797c2a74d,Learning for Video Compression,"IEEE TRANSACTION SUBMISSION
+Learning for Video Compression
+Zhibo Chen, Senior Member, IEEE, Tianyu He, Xin Jin, Feng Wu, Fellow, IEEE"

+5456166e3bfe78a353df988897ec0bd66cee937f,Improved Boosting Performance by Exclusion of Ambiguous Positive Examples,"Improved Boosting Performance by Exclusion
+of Ambiguous Positive Examples
+Miroslav Kobetski, Josephine Sullivan
+Computer Vision and Active Perception, KTH, Stockholm 10800, Sweden
+{kobetski,
+Keywords:
+Boosting, Image Classification, Algorithm Evaluation, Dataset Pruning, VOC2007."

+543c601f8ebc0995040f4b8de4a339fd4c860cbb,Eye localization: a survey,"Eye localization: a survey
+Paola CAMPADELLI, Raffaella LANZAROTTI, Giuseppe LIPORI 1
+Dipartimento di Scienze dell’Informazione.
+Università degli Studi di Milano.
+Via Comelico, 39/41 - 20135 Milano (Italy)"

+5432392d916e730c53962be202c115133e6d7777,Face processing in a case of high functioning autism with developmental prosopagnosia.,"RESEARCH PAPER
+Acta Neurobiol Exp 2018, 78: 114–131
+DOI: 10.21307/ane‑2018‑011
+Face processing in a case of high functioning autism
+with developmental prosopagnosia
+Hanna B. Cygan1,3*, Hanna Okuniewska2, Katarzyna Jednoróg3, Artur Marchewka4,
+Marek Wypych4 and Anna Nowicka3
+Laboratory of Social Psychology, Department of Ergonomics, Central Institute for Labour Protection, National Research Institute,
+Warsaw, Poland, 2 Faculty of Psychology, University of Warsaw, Warsaw, Poland, 3 Laboratory of Psychophysiology, Department of
+Neurophysiology, Nencki Institute of Experimental Biology, Polish Academy of Science, Warsaw, Poland, 4 Laboratory of Brain Imaging,
+Neurobiology Center, Nencki Institute of Experimental Biology, Polish Academy of Science, Warsaw, Poland,
+* Email:
+The ability to “read” the information about facial identity, expressed emotions, and intentions is crucial for non‑verbal social interaction.
+Neuroimaging and clinical studies consequently link face perception with fusiform gyrus (FG) and occipital face area (OFA) activity. Here
+we investigated face processing in an adult, patient PK, diagnosed with both high functioning autism spectrum disorder (ASD) and
+developmental prosopagnosia (DP). Both disorders have a significant impact on face perception and recognition, thus creating a unique
+neurodevelopmental condition. We used eye‑tracking and functional magnetic resonance imaging (fMRI) method. Eye‑tracking and fMRI
+results of PK were compared to results of control subjects. Patient PK showed atypical gaze‑fixation strategy during face perception and
+typical patterns of brain activations in the FG and OFA. However, a significant difference between PK and control subjects was found in
+the left anterior superior temporal sulcus/middle temporal gyrus (aSTS/MTG). In PK the left aSTS/MTG was hypo‑activated in comparison"

+5479da1038a530beb760a38dbb5b08947dfaefbd,Fusing continuous spectral images for face recognition under indoor and outdoor illuminants,"DOI 10.1007/s00138-008-0151-1
+ORIGINAL PAPER
+Fusing continuous spectral images for face recognition
+under indoor and outdoor illuminants
+H. Chang · A. Koschan · B. Abidi · M. Abidi
+Received: 4 December 2007 / Accepted: 14 May 2008 / Published online: 17 June 2008
+© Springer-Verlag 2008
+image fusion approaches,"

+54aacc196ffe49b3450059fccdf7cd3bb6f6f3c3,A joint learning framework for attribute models and object descriptions,"A Joint Learning Framework for Attribute Models and Object Descriptions
+Dhruv Mahajan
+Yahoo! Labs, Bangalore, India
+Sundararajan Sellamanickam
+Vinod Nair"

+5478a70badcf4d6da383d86163f0acc2c28b6bd3,Enhancing pedestrian detection using optical flow for surveillance,"Int. J. Computational Vision and Robotics, Vol. 7, Nos. 1/2, 2017
+Enhancing pedestrian detection using optical flow for
+surveillance
+Redwan A.K. Noaman*,
+Mohd Alauddin Mohd Ali and
+Nasharuddin Zainal
+Department of Electrical, Electronic and Systems Engineering,
+Faculty of Engineering and Built Environment,
+Universiti Kebangsaan Malaysia,
+3600 Bandar Baru Bangi, Selangor, Malaysia
+Email:
+Email:
+Email:
+*Corresponding author"

+5454c5900b6b6a0cf36df65d667129fcbd5262dc,Benchmarking asymmetric 3D-2D face recognition systems,"Benchmarking Asymmetric 3D-2D Face Recognition Systems
+Xi Zhao, Wuming Zhang, Georgios Evangelopoulos, Di Huang, Shishir K. Shah, Yunhong Wang,
+Ioannis A. Kakadiaris and Liming Chen"

+541bccf19086755f8b5f57fd15177dc49e77d675,A few days of a robot's life in the human's world: toward incremental individual recognition,"Computer Science and ArtificialIntelligence LaboratoryTechnical Reportmassachusetts institute of technology, cambridge, ma 02139 usa — www.csail.mit.eduMIT-CSAIL-TR-2007-022April 3, 2007A Few Days of A Robot’s Life in the Human’s World: Toward Incremental Individual RecognitionLijin Aryananda"

+54f0fa07dee7bd270d3bd8da9011ca90df78af59,Comparison of Laser-Based Person Tracking at Feet and Upper-Body Height,"Comparison of Laser-based Person Tracking at
+Feet and Upper-Body Height
+Konrad Schenk, Markus Eisenbach,
+Alexander Kolarow, and Horst-Michael Gross (cid:63)
+Neuroinformatics and Cognitive Robotics
+Ilmenau University of Technologies"

+542289d1acfebb9d79ea7a10c8e1516924e09973,Video Highlight Prediction Using Audience Chat Reactions,"Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 972–978
+Copenhagen, Denmark, September 7–11, 2017. c(cid:13)2017 Association for Computational Linguistics"

+54dae5187de3898d8034719bcaa3e0100ae72d76,Probabilistic Attributed Hashing,"Probabilistic Attributed Hashing
+Mingdong Ou1, Peng Cui1, Jun Wang2, Fei Wang3, Wenwu Zhu1
+Tsinghua National Laboratory for Information Science and Technology
+Department of Computer Science and Technology, Tsinghua University. Beijing, China
+Department of Computer Science and Engineering, University of Connecticut. Storrs, CT. USA.
+Data Science, Alibaba Group, Seattle, WA, USA."

+5458ccf22bdea7197e28b433ef06d5225fb030a7,Video Description Using Bidirectional Recurrent Neural Networks,"Video Description using Bidirectional Recurrent
+Neural Networks
+´Alvaro Peris1, Marc Bola˜nos2,3, Petia Radeva2,3, and Francisco Casacuberta1
+PRHLT Research Center, Universitat Polit`ecnica de Val`encia, Valencia (Spain)
+Universitat de Barcelona, Barcelona (Spain)
+Computer Vision Center, Bellaterra (Spain)"

+546cef6f86fb5a9fd59d40d9df63301c8a9d7d15,PathTrack: Fast Trajectory Annotation with Path Supervision,"PathTrack: Fast Trajectory Annotation with Path Supervision
+Santiago Manen1
+Michael Gygli1
+Dengxin Dai1
+Luc Van Gool1,2
+Computer Vision Laboratory
+ESAT - PSI / IBBT
+{smanenfr, gygli, daid,
+ETH Zurich
+K.U. Leuven"

+54b309443f53ed960f588f64d6aefe53f87504b6,TVD: A Reproducible and Multiply Aligned TV Series Dataset,"TVD: a reproducible and multiply aligned TV series dataset
+Anindya Roy1, Camille Guinaudeau1,2, Herv´e Bredin1, Claude Barras1,2
+Spoken Language Processing Group, CNRS-LIMSI, B.P. 133, Orsay, France.
+Universit´e Paris Sud, Orsay, France.
+{roy, guinaudeau, bredin,"

+541b13515480c0371bb8bb79cf17120645edccc7,Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms,"Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms
+{tag}                                                 {/tag}
+International Journal of Computer Applications
+Foundation of Computer Science (FCS), NY, USA
+Volume 134
+Number 7
+Year of Publication: 2016
+Authors:
+Filani Araoluwa S., Adetunmbi Adebayo O.
+10.5120/ijca2016907932
+{bibtex}2016907932.bib{/bibtex}"

+54756f824befa3f0c2af404db0122f5b5bbf16e0,Computer Vision — Visual Recognition,"Research Statement
+Computer Vision — Visual Recognition
+Alexander C. Berg
+Computational visual recognition concerns identifying what is in an image, video, or other visual data, enabling
+pplications such as measuring location, pose, size, activity, and identity as well as indexing for search by content.
+Recent progress in making economical sensors and improvements in network, storage, and computational power
+make visual recognition practical and relevant in almost all experimental sciences and commercial applications
+such as image search. My work in visual recognition brings together machine learning, insights from psychology
+nd physiology, computer graphics, algorithms, and a great deal of computation.
+While I am best known for my work on general object category detection – creating techniques and building
+systems for some of the best performing approaches to categorizing and localizing objects in images, recognizing
+ction in video, and searching large collections of video and images – my research extends widely across visual
+recognition including:
+• Creating low-level image descriptors – procedures for converting pixel values to features that can be used
+to model appearance for recognition. These include widely used descriptors for category recognition in
+images [4, 2], object detection in images and video [11, 10, 2], and optical flow based descriptors for action
+recognition in video [8].
+• Developing models for recognition – ranging from what is becoming seminal work in recognizing human
+ctions in video [8], to formulating object localization as approximate subgraph isomorphism [2], to models
+for parsing architectural images [3], to a novel approach for face recognition based on high level describable"

+549c719c4429812dff4d02753d2db11dd490b2ae,YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video,"YouTube-BoundingBoxes: A Large High-Precision
+Human-Annotated Data Set for Object Detection in Video
+Esteban Real
+Google Brain
+Jonathon Shlens
+Google Brain
+Stefano Mazzocchi
+Google Research
+Xin Pan
+Google Brain
+Vincent Vanhoucke
+Google Brain"

+548bc4203770450c21133bfb72c58f5fae0fbdf2,Visual-Inertial-Semantic Scene Representation for 3D Object Detection,"Visual-Inertial-Semantic Scene Representation for 3D Object Detection
+Jingming Dong∗
+Xiaohan Fei∗
+Stefano Soatto
+UCLA Vision Lab, University of California, Los Angeles, CA 90095
+{dong, feixh,"

+987dd3dd6079e5fa8a10a1c53b2580fd71e27ede,Concept-Based Video Retrieval By Cees,"Foundations and Trends R(cid:1) in
+Information Retrieval
+Vol. 2, No. 4 (2008) 215–322
+(cid:1) 2009 C. G. M. Snoek and M. Worring
+DOI: 10.1561/1500000014
+Concept-Based Video Retrieval
+By Cees G. M. Snoek and Marcel Worring
+Contents
+Introduction
+How to Retrieve Video Content?
+Human-Driven Labeling
+.3 Machine-Driven Labeling
+Aims, Scope, and Organization
+Detecting Semantic Concepts in Video
+Introduction
+Basic Concept Detection
+Feature Fusion
+Classifier Fusion
+.5 Modeling Relations
+Best of Selection"

+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"

+98f1613889657963b102460e4e970fe421c6ed3c,Accurate and Robust Neural Networks for Security Related Applications Exampled by Face Morphing Attacks,"Accurate and Robust Neural Networks for
+Security Related Applications Exampled by Face
+Morphing Attacks
+Clemens Seibold1, Wojciech Samek1, Anna Hilsmann1 and Peter Eisert1,2
+Fraunhofer HHI, Einsteinufer 37, 10587 Berlin, Germany
+Humboldt University Berlin, Unter den Linden 6, 10099 Berlin, Germany"

+98a6f2145a358cb2e54eddc99dd29911764bce0e,Learning Single-view 3D Reconstruction of Objects and Scenes,"Learning Single-view 3D Reconstruction of Objects and
+Scenes
+Shubham Tulsiani
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2018-93
+http://www2.eecs.berkeley.edu/Pubs/TechRpts/2018/EECS-2018-93.html
+July 26, 2018"

+986224bad9684c359db7fac2192b7134b855fbe3,Shopping for emotion,"Shopping for emotion
+Evaluating the usefulness of emotion recognition data from a retail perspective
+Anton Forsberg
+Anton Forsberg
+VT 2017
+Examensarbete f¨or civilingenj¨orer, 30hp
+Supervisor: Lars-Erik Janlert
+Examiner: Anders Broberg
+Civilingenj¨orsprogammet i Interaktion & Design"

+987c9a137d638f3d561c52b6dd0f987734ad5460,Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation,"Efficient Dense Modules of Asymmetric Convolution for
+Real-Time Semantic Segmentation
+Shao-Yuan Lo1     Hsueh-Ming Hang1     Sheng-Wei Chan2     Jing-Jhih Lin2
+National Chiao Tung University     2 Industrial Technology Research Institute
+{ShengWeiChan,"

+988d1295ec32ce41d06e7cf928f14a3ee079a11e,Semantic Deep Learning,"Semantic Deep Learning
+Hao Wang
+September 29, 2015"

+98c7a6210ca7bc81d2f7092ab28451f47039e920,UC Merced Proceedings of the Annual Meeting of the Cognitive Science Society Title What is the Ground ?,"UC Merced
+Proceedings of the Annual Meeting of the Cognitive Science
+Society
+Title
+What is the Ground? Continuous Maps for Symbol Grounding
+Permalink
+https://escholarship.org/uc/item/9p5236j4
+Journal
+Proceedings of the Annual Meeting of the Cognitive Science Society, 36(36)
+Authors
+Perera, Ian
+Allen, James
+Publication Date
+014-01-01
+Peer reviewed
+eScholarship.org
+Powered by the California Digital Library
+University of California"

+98c548a4be0d3b62971e75259d7514feab14f884,Deep generative-contrastive networks for facial expression recognition,"Deep generative-contrastive networks for facial expression recognition
+Youngsung Kim†, ByungIn Yoo‡,†, Youngjun Kwak†, Changkyu Choi†, and Junmo Kim‡
+Samsung Advanced Institute of Technology (SAIT), ‡KAIST
+hangkyu"

+98b98a8413f21a48ee6effd52da8c31ece6a910d,Detecting handwritten signatures in scanned documents,"9th Computer Vision Winter Workshop
+Zuzana Kúkelová and Jan Heller (eds.)
+Křtiny, Czech Republic, February 3–5, 2014
+Detecting handwritten signatures in scanned documents
+İlkhan Cüceloğlu1,2, Hasan Oğul1
+Department of Computer Engineering, Başkent University, Ankara, Turkey
+DAS Document Archiving and Management Systems CO., Ankara, Turkey"

+98142e84a3cee08661b31371a2c610183df82c8f,Tight Bounds for the Expected Risk of Linear Classifiers and PAC-Bayes Finite-Sample Guarantees,"Tight Bounds for the Expected Risk of Linear Classifiers and
+PAC-Bayes Finite-Sample Guarantees
+Jean Honorio
+CSAIL, MIT
+Cambridge, MA 02139, USA"

+981449cdd5b820268c0876477419cba50d5d1316,Learning Deep Features for One-Class Classification,"Learning Deep Features for One-Class
+Classification
+Pramuditha Perera, Student Member, IEEE, and Vishal M. Patel, Senior Member , IEEE"

+98960be5ae51d30118f091f7091299a49f2f34bb,Global and Feature Based Gender Classification of Faces: a Comparison of Human Performance and Computational Models,"GLOBAL AND FEATURE BASED GENDER CLASSIFICATION
+OF FACES: A COMPARISON OF HUMAN PERFORMANCE
+AND COMPUTATIONAL MODELS
+SAMARASENA BUCHALAA   TIM M.GALEA,B   NEIL DAVEYA   RAY J.FRANKA
+KERRY FOLEYB
+A Department of Computer Science, University of Hertfordshire, College Lane, Hatfield,
+{S.Buchala, N.Davey, T.Gale,
+AL10 9AB, UK
+B Department of Psychiatry, QEII Hospital, Welwyn Garden City, AL7 4HQ, UK
+Most computational models for gender classification use global information (the full face
+image) giving equal weight to the whole face area irrespective of the importance of the
+internal features. Here, we use a global and feature based representation of face images
+that  includes  both  global  and  featural  information.  We  use  dimensionality  reduction
+techniques and a support vector machine classifier and show that this method performs
+etter than either global or feature based representations alone.
+.  Introduction
+Most  computational  models  of  gender  classification  use  whole  face  images,
+giving  equal  weight  to  all  areas  of  the  face,  irrespective  of  the  importance  of
+internal  facial  features.  In  this paper we evaluate the  importance of global and
+local  information  in  a  series  of  gender  recognition  experiments.  Global"

+98c5b88db35d7ab2d3cc0a63c7ff1414160d2aa6,Convolutional Neural Network-Based Finger-Vein Recognition Using NIR Image Sensors,"Article
+Convolutional Neural Network-Based Finger-Vein
+Recognition Using NIR Image Sensors
+Hyung Gil Hong, Min Beom Lee and Kang Ryoung Park *
+Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu,
+Seoul 100-715, Korea; (H.G.H); (M.B.L.)
+* Correspondence: Tel.: +82-10-3111-7022; Fax: +82-2-2277-8735
+Academic Editor: Vittorio M. N. Passaro
+Received: 11 May 2017; Accepted: 1 June 2017; Published: 6 June 2017"

+98424c79970a80f30db837db84880a4c02e76f1a,Deepagent: An Algorithm Integration Approach for Person Re-Identification,"DEEPAGENT: AN ALGORITHM INTEGRATION APPROACH FOR PERSON
+RE-IDENTIFICATION
+Fulong Jiao, Bir Bhanu
+Center for Research in Intelligent Systems
+University of California, Riverside, Riverside, CA 92521, USA"

+98f13ab2845cfe8513a0c05427a8b90d9c0c1b69,Pedestrian Attribute Recognition with Part-based CNN and Combined Feature Representations,

+98220d35ae6a3ba745f7dea1434f000ca60c62c0,Multi-object Tracking using Particle Swarm Optimization on Target Interactions,"Multi-object Tracking using Particle Swarm
+Optimization on Target Interactions
+Bogdan Kwolek"

+984d5ed1fa80124117fdd0aa9a5be69f269da268,[insert Cover Letter Here],[Insert cover letter here]

+988d5ad8d114f5f21a73b2ae464dca4277f5725f,Persian Viseme Classification Using Interlaced Derivative Patterns and Support Vector Machine,"Journal of Information Assurance and Security.
+ISSN 1554-1010 Volume 9 (2014) pp. 148-156
+© MIR Labs, www.mirlabs.net/jias/index.html
+Persian Viseme Classification Using Interlaced
+Derivative Patterns and Support Vector Machine
+Mohammad Mahdi Dehshibi1, Jamshid Shanbehzadeh2
+Digital Signal Processing Lab., Pattern Research Center,
+Karaj, Iran
+Department of Computer Engineering, Kharazmi University,
+Tehran, Iran
+is  a"

+986be05b286d99d840583578c102af31c56428fd,An Efficient Algorithm for Implementing Traffic Sign Detection on Low Cost Embedded System,"International Journal of Innovative
+Computing, Information and Control
+Volume 14, Number 1, February 2018
+ICIC International c(cid:13)2018 ISSN 1349-4198
+pp. 1–14
+AN EFFICIENT ALGORITHM FOR IMPLEMENTING TRAFFIC SIGN
+DETECTION ON LOW COST EMBEDDED SYSTEM
+Aryuanto Soetedjo and I Komang Somawirata
+Department of Electrical Engineering
+National Institute of Technology
+Jalan Raya Karanglo KM 2 Malang 65153, Indonesia
+Received May 2017; revised September 2017"

+9854145f2f64d52aac23c0301f4bb6657e32e562,An Improved Face Verification Approach Based on Speedup Robust Features and Pairwise Matching,"An Improved Face Verification Approach based on
+Speedup Robust Features and Pairwise Matching
+Eduardo Santiago Moura, Herman Martins Gomes and Jo˜ao Marques de Carvalho
+Center for Electrical Engineering and Informatics (CEEI)
+Federal University of Campina Grande (UFCG)
+Campina Grande, Para´ıba, Brazil
+Email:"

+983534325c649e391fefe87025337187021b9830,Towards Automatic Generation of Question Answer Pairs from Images,"Towards Automatic Generation of Question Answer Pairs from Images
+Issey Masuda Mora, Santiago Pascual de la Puente, Xavier Giro-i-Nieto
+Universitat Politecnica de Catalunya (UPC)
+Barcelona, Catalonia/Spain"

+98127346920bdce9773aba6a2ffc8590b9558a4a,Efficient human action recognition using histograms of motion gradients and VLAD with descriptor shape information,"Noname manuscript No.
+(will be inserted by the editor)
+Ef‌f‌icient Human Action Recognition using
+Histograms of Motion Gradients and
+VLAD with Descriptor Shape Information
+Ionut C. Duta · Jasper R.R. Uijlings ·
+Bogdan Ionescu · Kiyoharu Aizawa ·
+Alexander G. Hauptmann · Nicu Sebe
+Received: date / Accepted: date"

+98582edd6029c94844f5a40d246eaa86f74d8512,Learning Visual Scene Attributes,"Learning Visual Scene Attributes
+Vazheh Moussavi
+A Glance at Attribute-Centric Scene Representations
+Take a look around you. How would you describe your surroundings to best give an idea of what
+everything looks like to someone not there? Maybe you will give a category to the scene, say,
+‘bedroom’. You might try to list some of the objects around you, like ‘bed’, ‘lamp’, and ‘desk’. Or
+perhaps you’ll describe it with adjectives like ‘indoors’, ‘cozy’, and ‘cluttered’. In computer vision,
+(or more specifically, in scene understanding), the most effective way to describe a visual scene is
+lso a major question.
+Of the these three ways of describing a scene, (commonly referred to as categorization, scene pars-
+ing, and attribute-based representation respectively), categories have historically been the method of
+hoice. In categorization, an image (scene) is allowed to fall into exactly one of an arbitrary number
+of buckets. Attribute representations, however, are typically composed of several sets of buckets
+each of which will have a value associated with that scene. For instance, a simple category-based
+model would place an image in one of urban/rural/room, whereas a binary attribute-based model
+would have as attributes indoors and warm, each of which are marked as either present or not. In
+larger models, this leads to high dimensionality for attribute-based models, which has been a large
+disincentive for its use. In addition, classifying a scene’s entire attribute set non-trivially falls un-
+der multi-label learning, for which there exist very few learning algorithms in popular use. Lastly,
+there is scene parsing[5], which involves using object detectors, possibly in conjunction, to build"

+9889596a98824bdf7e7c59b62e732c0b2d356c69,Soft Correspondences in Multimodal Scene Parsing,"Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, and Lars Petersson"

+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."

+9817e0d11701e9ce0e31a32338ff3ff0969621ed,Dppnet: Approximating Determinantal Point Processes with Deep Networks,"Under review as a conference paper at ICLR 2019
+DPPNET: APPROXIMATING DETERMINANTAL POINT
+PROCESSES WITH DEEP NETWORKS
+Anonymous authors
+Paper under double-blind review"

+98126d18be648640fc3cfeb7ffc640a2ec1d5f6f,Supplemental Material: Discovering Groups of People in Images,"Supplemental Material: Discovering Groups of People in
+Images
+Wongun Choi1, Yu-Wei Chao2, Caroline Pantofaru3 and Silvio Savarese4
+. NEC Laboratories 2. University of Michigan, Ann Arbor
+. Google, Inc
+. Stanford University
+Qualitative Examples
+In Fig. 1 and 2, we show additional qualitative examples obtained using our model
+with poselet [1] and ground truth (GT) detections, respectively. We show the image
+onfiguration of groups on the left and corresponding 3D configuration on the right.
+Different colors and different line types (solid or dashed) represent different groups,
+the type of each structured group is overlayed on the bottom-left of one participant. In
+D visualization, squares represent standing people, circles represent people sitting on
+n object, and triangles represent people sitting on the ground. The view point of each
+individual is shown with a line. The gray triangle is the camera position. The poses are
+obtained by using the individual pose classification output for visualization purposes.
+The figures show that our algorithm is capable of correctly associating individu-
+ls into multiple different groups while estimating the type of each group. Notice that
+our algorithm can successfully segment different instances of the same group type that
+ppear in proximity. A distance-based clustering method would not be able to differ-"

+98a60b218ff8addaf213e97e2f4b54d39e45f5b9,Benchmarking Real World Object Recognition,"Bonn-Aachen International Center for Information Technology
+Master of Science in Autonomous Systems
+Bonn-Rhein-Sieg University of Applied Sciences
+Date: March 4, 2005
+Student: Adolf, Florian-Michael
+Matriculation-No: 9005989
+eMail:
+Supervisor: Prassler, Erwin
+Institution: UAS Bonn-Rhein-Sieg
+eMail:
+Benchmarking Real World Object Recognition
+Summer Term 2005
+Master Thesis Proposal
+Context
+Service robotics basically comprise everything that is not industrial robotics, and reflects
+the distinction between the manufacturing and service sectors of the economy. Hence
+service robots are supposed to operate in our human world as autonomously as possible.
+The perception of objects in video images suitable for everyday use (”real-world”) is one
+of the key disciplines in developing this key technology.
+Recent service robotic projects [16, 13, 19, 20, 2] demand research in machine vision and"

+984ecfbda7249e67eca8d9b1697e81f80e2e483d,Visual object categorization with new keypoint-based adaBoost features,"Visual object categorization with new keypoint-based
+daBoost features
+Taoufik Bdiri, Fabien Moutarde, Bruno Steux
+To cite this version:
+Taoufik Bdiri, Fabien Moutarde, Bruno Steux. Visual object categorization with new keypoint-based
+daBoost features. IEEE Symposium on Intelligent Vehicles (IV’2009), Jun 2009, XiAn, China. 2009.
+<hal-00422580>
+HAL Id: hal-00422580
+https://hal.archives-ouvertes.fr/hal-00422580
+Submitted on 7 Oct 2009
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+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"

+9825aa96f204c335ec23c2b872855ce0c98f9046,Face and Facial Expression Recognition in 3-d Using Masked Projection under Occlusion,"International Journal of Ethics in Engineering & Management Education
+Website: www.ijeee.in (ISSN: 2348-4748, Volume 1, Issue 5, May2014)
+FACE AND FACIAL EXPRESSION
+RECOGNITION IN 3-D USING MASKED
+PROJECTION UNDER OCCLUSION
+Jyoti patil *
+M.Tech (CSE)
+GNDEC Bidar-585401
+BIDAR, INDIA
+Gouri Patil
+M.Tech (CSE)
+GNDEC Bidar- 585401
+BIDAR, INDIA
+Snehalata Patil
+M.Tech (CSE)
+VKIT, Bangalore- 560040
+BANGALORE, INDIA"

+981847c0a3d667aae385276221834edbb8ebd11c,A generalizable approach for multi-view 3D human pose regression,"A generalizable approach for multi-view 3D human pose regression
+Abdolrahim Kadkhodamohammadia,∗, Nicolas Padoya
+ICube, University of Strasbourg, CNRS, IHU Strasbourg, France"

+982db27f0a092d5c8db88e959a77fae5b4f9cdf6,"A cross-cultural, multimodal, affective corpus for gesture expressivity analysis","J Multimodal User Interfaces
+DOI 10.1007/s12193-012-0112-x
+ORIGINAL PAPER
+A cross-cultural, multimodal, affective corpus for gesture
+expressivity analysis
+G. Caridakis · J. Wagner · A. Raouzaiou ·
+F. Lingenfelser · K. Karpouzis · E. Andre
+Received: 5 March 2012 / Accepted: 15 September 2012
+© OpenInterface Association 2012"

+53819049f41998a5a1587dfccccc2db8612b45af,Deep Semantic Lane Segmentation for Mapless Driving,"018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
+Madrid, Spain, October 1-5, 2018
+978-1-5386-8093-3/18/$31.00 ©2018 IEEE"

+53079196041fedeb5f1e236b1c76c7108fd8346e,"Multiple Object Detection, Tracking and Long-Term Dynamics Learning in Large 3D Maps","Multiple Object Detection, Tracking
+nd Long-Term Dynamics Learning
+in Large 3D Maps
+Local
+D Maps
+Object
+Posteriors
+Learn
+Dynamics
+Location l1
+Location l3
+Object jump
+probability:
+pjump = 0.036
+Object spatial
+process variance:
+q = 0.137
+Measurement
+ovariance:
+ 0.14 −0.03 0.02"

+5357bdaf7c54619016bdb7ebfa991a65a6cc8353,"Infants’ Temperament and Mothers’, and Fathers’ Depression Predict Infants’ Attention to Objects Paired with Emotional Faces","J Abnorm Child Psychol (2016) 44:975–990
+DOI 10.1007/s10802-015-0085-9
+Infants’ Temperament and Mothers’, and Fathers’ Depression
+Predict Infants’ Attention to Objects Paired with Emotional Faces
+Evin Aktar 1,2 & Dorothy J. Mandell 1 & Wieke de Vente 2 & Mirjana Majdandžić 2 &
+Maartje E. J. Raijmakers 1,3 & Susan M. Bögels 2
+Published online: 8 October 2015
+# The Author(s) 2015. This article is published with open access at Springerlink.com"

+53c5f995e76ead002f1b0a78bfd50de3b1faf593,Enhancing the Symmetry and Proportion of 3D Face Geometry,"Enhancing the symmetry and proportion of 3D
+face geometry
+Qiqi Liao, Xiaogang Jin, Wenting Zeng"

+531b211d4cbe766e0b86c4bb6f24e924494360c5,"SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation","SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation
+Sudeep Pillai, Rares, Ambrus,, Adrien Gaidon
+Toyota Research Institute (TRI)"

+53bb52eb910c3a0ac5dc7f379b1f3f7c29af529d,Pain recognition using spatiotemporal oriented energy of facial muscles,"Pain Recognition using Spatiotemporal Oriented Energy of Facial Muscles
+Ramin Irani, Kamal Nasrollahi, and Thomas B. Moeslund
+Visual Analysis of People (VAP) Laboratory
+Rendsburggade 14, 9000 Aalborg, Denmark
+{ri, kn,"

+53e081f5af505374c3b8491e9c4470fe77fe7934,Unconstrained realtime facial performance capture,"Unconstrained Realtime Facial Performance Capture
+Pei-Lun Hsieh⇤
+⇤ University of Southern California
+Chongyang Ma⇤
+Jihun Yu†
+Hao Li⇤
+Industrial Light & Magic
+Figure 1: Calibration-free realtime facial performance capture on highly occluded subjects using an RGB-D sensor."

+53f8f1ddd83a9e0e0821aaa883fbf7c1f7f5426e,Face Recognition using Principal Component Analysis and Log-Gabor Filters,"Face Recognition using Principal Component
+Analysis and Log-Gabor Filters
+Vytautas Perlibakas
+Image Processing and Analysis Laboratory, Computational Technologies Centre,
+Kaunas University of Technology, Studentu st. 56-305, LT-51424 Kaunas,
+Lithuania"

+53ac22fff7ae3ed08565439ac30656846cac2465,Learning 3D Human Pose from Structure and Motion,"Learning 3D Human Pose from Structure and Motion
+Rishabh Dabral1, Anurag Mundhada1, Uday Kusupati1, Safeer Afaque1, Abhishek
+Sharma2, Arjun Jain1
+{rdabral, safeer, {anuragmundhada,
+Indian Institute of Technology Bombay, 2Gobasco AI Labs
+kusupatiuday,"

+53b35519e09772fb7ec470fdec51c6edb43c4f13,Word Channel Based Multiscale Pedestrian Detection without Image Resizing and Using Only One Classifier,"Word Channel Based Multiscale Pedestrian Detection
+Without Image Resizing and Using Only One Classifier
+Arthur Daniel Costea       and       Sergiu Nedevschi
+Image Processing and Pattern Recognition Group  (http://cv.utcluj.ro)
+Computer Science Department, Technical University of Cluj-Napoca, Romania
+{arthur.costea,
+pedestrian or non-pedestrian based on image features. The
+image features should capture the required information for
+lassification, while allowing fast computation.
+Previous  object  detection  approaches  use  a  fixed  size
+sliding window and resize the image [8] or use a fixed size
+image  and  resize  the  sliding  window  [29].  When  using
+multiple  sliding  window  scales,  individual  classifiers  are
+trained  for  different  scales.  In  this  paper  we  propose  a
+solution to pedestrian detection that does not require image
+resizing and uses only one classifier for all sliding window
+scales. The proposed approach introduces the use of word
+hannels,  inspired  from  codebook  based  semantic  image
+nnotation techniques for extracting classification features.
+. Related work"

+5357e6e5d5fe06934bfe693d18b9f44bbd98f73b,Landmark Detection for Unconstrained Face Recognition,"Landmark Detection for
+Unconstrained Face Recognition
+Panagiotis B. Perakis (cid:63)
+National and Kapodistrian University of Athens
+Department of Informatics and Telecommunications"

+53f981cb6f1cf19b08255c571d62cc1073fd792b,Deconvolutional networks for point-cloud vehicle detection and tracking in driving scenarios,"Deconvolutional Networks for Point-Cloud Vehicle Detection
+nd Tracking in Driving Scenarios
+V´ıctor Vaquero∗, Ivan del Pino∗, Francesc Moreno-Noguer, Joan Sol`a, Alberto Sanfeliu and Juan Andrade-Cetto"

+538a9230ddc14b8a5d3f5f195aac4ec43e37d16f,Joint Holistic and Partial CNN for Pedestrian Detection,"YUN ZHAO et al.: JOINT HOLISTIC AND PARTIAL CNN FOR PEDESTRIAN DETECTION 1
+Joint Holistic and Partial CNN for Pedestrian
+Detection
+Yun Zhao1
+Zejian Yuan*1
+Hui Zhang2
+Institute of Artificial Intelligence and
+Robotics
+Xi’an Jiaotong University
+Xi’an, China
+Shenzhen Forward Innovation
+Digital Technology Co. Ltd. China"

+53881bb35cb98c788f75fbc8c76198ccbc50edbf,Selective experience replay in reinforcement learning for reidentification,"SELECTIVE EXPERIENCE REPLAY IN REINFORCEMENT LEARNING FOR
+REIDENTIFICATION
+Ninad Thakoor , Bir Bhanu
+Center for Research in Intelligent Systems,
+University of California, Riverside, Riverside, CA 92521, USA"

+53993c7fabf631cbd8a44ab3e42c6bdf784db456,Understanding and Predicting Image Memorability at a Large Scale,"Understanding and Predicting Image Memorability at a Large Scale
+Aditya Khosla
+Akhil S. Raju
+Antonio Torralba
+Aude Oliva"

+537a00082b413b40fbdd02b5584791614f5071d2,Face Recognition Using Principal Component Analysis for Security Based System,"International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Index Copernicus Value (2013): 6.14 | Impact Factor (2013): 4.438
+Face Recognition Using Principal Component
+Analysis for Security Based System
+Madhuri M. Ghodake1, Parul S. Arora2
+Savitribai Phule Pune University, G.H.Raisoni College of Engg & Management, Domkhel Road, Wagholi, Pune
+Assistant Professor, G.H.Raisoni College of Engg & Management, Domkhel Road, Wagholi, Pune, Savitribai Phule University, Pune"

+53c36186bf0ffbe2f39165a1824c965c6394fe0d,I Know How You Feel: Emotion Recognition with Facial Landmarks,"I Know How You Feel: Emotion Recognition with Facial Landmarks
+Tooploox 2Polish-Japanese Academy of Information Technology 3Warsaw University of Technology
+Ivona Tautkute1,2, Tomasz Trzcinski1,3 and Adam Bielski1"

+5366573e96a1dadfcd4fd592f83017e378a0e185,"Server, server in the cloud. Who is the fairest in the crowd?","Böhlen, Chandola and Salunkhe
+Server, server in the cloud.
+Who is the fairest in the crowd?"

+53a41c711b40e7fe3dc2b12e0790933d9c99a6e0,Recurrent Memory Addressing for Describing Videos,"Recurrent Memory Addressing for describing videos
+Arnav Kumar Jain∗ Abhinav Agarwalla∗
+Kumar Krishna Agrawal∗
+Pabitra Mitra
+{arnavkj95, abhinavagarawalla, kumarkrishna,
+Indian Institute of Technology Kharagpur"

+53822d61e829ef02a95a6c89fea082114fd3e16b,A General Framework for Tracking Multiple People from a Moving Camera,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.
+IEEE TRANSACTION ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
+A General Framework for Tracking Multiple
+People from a Moving Camera
+Wongun Choi, Caroline Pantofaru, Silvio Savarese"

+53c8f841cbf2c8f09c6ece9d7f164504fe39409b,Deep Clustering for Unsupervised Learning of Visual Features,"Deep Clustering for Unsupervised Learning
+of Visual Features
+Mathilde Caron, Piotr Bojanowski, Armand Joulin, and Matthijs Douze
+Facebook AI Research"

+533bfb82c54f261e6a2b7ed7d31a2fd679c56d18,Unconstrained Face Recognition: Identifying a Person of Interest From a Media Collection,"Technical Report MSU-CSE-14-1
+Unconstrained Face Recognition: Identifying a
+Person of Interest from a Media Collection
+Lacey Best-Rowden, Hu Han, Member, IEEE, Charles Otto, Brendan Klare, Member, IEEE, and
+Anil K. Jain, Fellow, IEEE"

+5383473d1a669beb0089f72a9a5075e943f0270f,Higher-order Occurrence Pooling on Mid- and Low-level Features: Visual Concept Detection,

+5367610430dc0380dfbe8344e08537267875968c,Tracking 3D Surfaces Using Multiple Cameras: A Probabilistic Approach,"Tracking 3D Surfaces Using
+Multiple Cameras: A
+Probabilistic Approach
+Thomas Popham
+Thesis
+Submitted to the University of Warwick
+for the degree of
+Doctor of Philosophy
+Department of Computer Science
+August 2010"

+53facd4da5f1d1f98f876211421957f5fbe8a29a,The Mesh-LBP: A Framework for Extracting Local Binary Patterns From Discrete Manifolds,"The Mesh-LBP: A Framework for Extracting Local
+Binary Patterns From Discrete Manifolds
+Naoufel Werghi, Member, IEEE, Stefano Berretti, Member, IEEE, and Alberto del Bimbo, Member, IEEE"

+537061f3601965b5aab9f402763d9dcf451e1cef,A Deep Neural Model Of Emotion Appraisal,"Noname manuscript No.
+(will be inserted by the editor)
+A Deep Neural Model Of Emotion Appraisal
+Pablo Barros · Emilia Barakova · Stefan Wermter
+Received: date / Accepted: date"

+53492cb14b33a26b10c91102daa2d5a2a3ed069d,Improving Online Multiple Object tracking with Deep Metric Learning,"Improving Online Multiple Object tracking with Deep Metric Learning
+Michael Thoreau, Navinda Kottege"

+53bed2d3d75c4320ad5af4a85e31bf92e3c704ef,Reinforced Video Captioning with Entailment Rewards,"Reinforced Video Captioning with Entailment Rewards
+Ramakanth Pasunuru and Mohit Bansal
+UNC Chapel Hill
+{ram,"

+536d1f74c6543afcf2bc711befd82ac7886d1c33,Fusing Shearlets and LBP Feature Sets for Face Recognition,"ISSN 1746-7659, England, UK
+Journal of Information and Computing Science
+Vol. 10, No. 1, 2015, pp. 029-039
+Fusing Shearlets and LBP Feature Sets for Face Recognition
+Zhiyong Zeng 1
+Faculty of Software, Fujian Normal University, Fuzhou, 350108, China
+(Received October  07, 2014, accepted December 24, 2014)"

+538f735450463f40c78f60797899fcee47df72bc,Discriminative Dictionary Learning With Motion Weber Local Descriptor for Violence Detection,"© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for
+ll other uses, in any current or future media, including reprinting/republishing this material for
+dvertising or promotional purposes, creating new collective works, for resale or redistribution to
+servers or lists, or reuse of any copyrighted component of this work in other works."

+3f55d26dd638c849745b95e912c28d88445ba5e1,Supervised Learning of Universal Sentence Representations from Natural Language Inference Data,"Supervised Learning of Universal Sentence Representations from
+Natural Language Inference Data
+Alexis Conneau
+Facebook AI Research
+Douwe Kiela
+Facebook AI Research
+Holger Schwenk
+Facebook AI Research
+Lo¨ıc Barrault
+LIUM, Universit´e Le Mans
+Antoine Bordes
+Facebook AI Research"

+3fbd68d1268922ee50c92b28bd23ca6669ff87e5,A shape- and texture-based enhanced Fisher classifier for face recognition,"IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 10, NO. 4, APRIL 2001
+A Shape- and Texture-Based Enhanced Fisher
+Classifier for Face Recognition
+Chengjun Liu, Member, IEEE, and Harry Wechsler, Fellow, IEEE"

+3f22a4383c55ceaafe7d3cfed1b9ef910559d639,Robust Kronecker Component Analysis,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Robust Kronecker Component Analysis
+Mehdi Bahri, Student Member, IEEE, Yannis Panagakis, and Stefanos Zafeiriou, Member, IEEE"

+3f06d445371c252d5a6ba977181987094148d6de,Fast Single Shot Detection and Pose Estimation,"Fast Single Shot Detection and Pose Estimation
+Patrick Poirson1, Phil Ammirato1, Cheng-Yang Fu1, Wei Liu1, Jana Koˇseck´a2, Alexander C. Berg1
+UNC Chapel Hill 2George Mason University
+201 S. Columbia St., Chapel Hill, NC 27599 24400 University Dr, Fairfax, VA 22030"

+3fdcc1e2ebcf236e8bb4a6ce7baf2db817f30001,A Top-Down Approach for a Synthetic Autobiographical Memory System,"A top-down approach for a synthetic
+utobiographical memory system
+Andreas Damianou1,2, Carl Henrik Ek3, Luke Boorman1, Neil D. Lawrence2,
+nd Tony J. Prescott1
+Shef‌f‌ield Centre for Robotics (SCentRo), Univ. of Shef‌f‌ield, Shef‌f‌ield, S10 2TN, UK
+Dept. of Computer Science, Univ. of Shef‌f‌ield, Shef‌f‌ield, S1 4DP, UK
+CVAP Lab, KTH, Stockholm, Sweden"

+3f44352b857f2fc18c18c5ebb2cbf994ee22f44c,Humanist computing for knowledge discovery from ordered datasets,"HumanistComputingforKnowledgeDiscovery
+fromOrderedDatasets
+JonathanMichaelRossiter
+DepartmentofEngineeringMathematics
+UniversityofBristol
+AdissertationsubmittedtotheUniversityofBristol
+inaccordancewiththerequirementsofthedegreeof
+DoctorofPhilosophyintheFacultyofEngineering
+January
+3f9c09e2fbefc9aeba6505f49317f9a2fc03a615,Understanding fundamental design choices in single-ISA heterogeneous multicore architectures,"Understanding Fundamental Design Choices in Single-ISA
+Heterogeneous Multicore Architectures
+KENZO VAN CRAEYNEST and LIEVEN EECKHOUT, Ghent University
+Single-ISA heterogeneous multicore processors have gained substantial interest over the past few years
+ecause of their power efficiency, as they offer the potential for high overall chip throughput within a
+given power budget. Prior work in heterogeneous architectures has mainly focused on how heterogeneity
+an improve overall system throughput. To what extent heterogeneity affects per-program performance
+has remained largely unanswered. In this article, we aim at understanding how heterogeneity affects both
+hip throughput and per-program performance; how heterogeneous architectures compare to homogeneous
+rchitectures under both performance metrics; and how fundamental design choices, such as core type, cache
+size, and off-chip bandwidth, affect performance.
+We use analytical modeling to explore a large space of single-ISA heterogeneous architectures. The ana-
+lytical model has linear-time complexity in the number of core types and programs of interest, and offers a
+unique opportunity for exploring the large space of both homogeneous and heterogeneous multicore proces-
+sors in limited time. Our analysis provides several interesting insights: While it is true that heterogeneity
+an improve system throughput, it fundamentally trades per-program performance for chip throughput;
+lthough some heterogeneous configurations yield better throughput and per-program performance than
+homogeneous designs, some homogeneous configurations are optimal for particular throughput versus per-
+program performance trade-offs. Two core types provide most of the benefits from heterogeneity and a larger
+number of core types does not contribute much; job-to-core mapping is both important and challenging for"

+3f5b20c35f55417823f0201862d85af1f31e9348,Salience Biased Loss for Object Detection in Aerial Images,"Salience Biased Loss for Object Detection
+in Aerial Images
+Peng Sun
+Guerdan Luke
+Guang Chen
+University of Missouri-Columbia
+Yi Shang
+over regular and dense sampling of object scales, locations,
+nd aspect ratios, such as YOLO [8], SSD [11], and RetinaNet
+[18]. Each of these demonstrates promising results with faster
+speed, a simpler network, and similar accuracy of two-stage
+object detectors. RetinaNet [18] even outperforms one of the
+est two-stage detectors, Faster R-CNN [5], with a relative 4.0
+mAP improvement in COCO data [17]."

+3faebe9d5c47fc90998811c4ac768706283d605c,Semi-Supervised Detection of Extreme Weather Events in Large Climate Datasets,"Under review as a conference paper at ICLR 2017
+SEMI-SUPERVISED DETECTION OF EXTREME WEATHER
+EVENTS IN LARGE CLIMATE DATASETS
+Evan Racah1, Christopher Beckham2, Tegan Maharaj2
+Prabhat1, Christopher Pal2
+Lawrence Berkeley National Lab, Berkeley, CA,
+´Ecole Polytechnique de Montr´eal,"

+3f0f3c2bc151ef91959b06442b9ad80d405387a5,Evidential combination of pedestrian detectors,"XU ET AL.: EVIDENTIAL COMBINATION OF PEDESTRIAN DETECTORS
+Evidential combination of pedestrian
+detectors
+Philippe Xu1
+https://www.hds.utc.fr/~xuphilip
+Franck Davoine12
+Thierry Denœux1
+https://www.hds.utc.fr/~tdenoeux
+UMR CNRS 7253, Heudiasyc,
+Université de Technologie de
+Compiègne, France
+CNRS, LIAMA,
+Beijing, P. R. China"

+3f848d6424f3d666a1b6dd405a48a35a797dd147,Is 2D Information Enough For Viewpoint Estimation?,"GHODRATI et al.: IS 2D INFORMATION ENOUGH FOR VIEWPOINT ESTIMATION?
+Is 2D Information Enough For Viewpoint
+Estimation?
+Amir Ghodrati
+Marco Pedersoli
+Tinne Tuytelaars
+KU Leuven, ESAT - PSI, iMinds
+Leuven, Belgium"

+3f6a6050609ba205ec94b8af186a9dca60a8f65e,Harmonizing Maximum Likelihood with Gans,"Under review as a conference paper at ICLR 2019
+HARMONIZING MAXIMUM LIKELIHOOD WITH GANS
+FOR MULTIMODAL CONDITIONAL GENERATION
+Anonymous authors
+Paper under double-blind review"

+3f10b9d98a276fb9e21e5742ce88bc7f48629715,Imparare a Quantificare Guardando (Learning to Quantify by Watching),"Imparare a quantificare guardando
+Sandro Pezzelle
+CIMeC
+Ionut Sorodoc
+Aurelie Herbelot
+CIMeC
+EM LCT
+Universit`a degli Studi di Trento
+Raffaella Bernardi
+CIMeC, DISI"

+3fa738ab3c79eacdbfafa4c9950ef74f115a3d84,DaMN - Discriminative and Mutually Nearest: Exploiting Pairwise Category Proximity for Video Action Recognition,"DaMN – Discriminative and Mutually Nearest:
+Exploiting Pairwise Category Proximity
+for Video Action Recognition
+Rui Hou1, Amir Roshan Zamir1, Rahul Sukthankar2, and Mubarak Shah1
+Center for Research in Computer Vision at UCF, Orlando, USA
+Google Research, Mountain View, USA
+http://crcv.ucf.edu/projects/DaMN/"

+3f8e481ea845aa20704d8c93f6a3a72025219f64,Data mapping by probabilistic modular networks and information-theoretic criteria,"IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 46, NO. 12, DECEMBER 1998
+Data Mapping by Probabilistic Modular
+Networks and Information-Theoretic Criteria
+Yue Wang, Shang-Hung Lin, Huai Li, and Sun-Yuan Kung, Fellow, IEEE"

+3f2270762ff68d6771d93d800683ae6bc76855e7,3D Human Motion Tracking and Pose Estimation using Probabilistic Activity Models,"MANCHESTER METROPOLITAN UNIVERSITY
+D Human Motion Tracking and
+Pose Estimation using
+Probabilistic Activity Models
+John Darby
+A thesis submitted in partial fulfillment for the
+degree of Doctor of Philosophy
+Faculty of Science and Engineering
+The Department of Computing and Mathematics
+October 2010"

+3fb98e76ffd8ba79e1c22eda4d640da0c037e98a,Convolutional Neural Networks for Crop Yield Prediction using Satellite Images,"Convolutional Neural Networks for Crop Yield Prediction using Satellite Images
+H. Russello"

+3fa9bf4649ff5e0d63ee20a546e8814f3a93ca4d,Digital Image Technique using Gabor Filter and SVM in Heterogeneous Face Recognition,"Research Inventy: International Journal of Engineering And Science
+Vol.4, Issue 4 (April 2014), PP 45-52
+Issn (e): 2278-4721, Issn (p):2319-6483, www.researchinventy.com
+Digital Image Technique using Gabor Filter and SVM in
+Heterogeneous Face Recognition
+M.Janani#1, K.Nandhini*2, K.Senthilvadivel*3,S.Jothilakshmi*4,
+PG Student#1,*2*3, Assistant Professor*4,, Dept of CSE#1,*2,*3,*4
+S.V.S College of Engineering#1,*4,, PPG Institute of Technology*2,*3,
+Coimbatore, Tamilnadu"

+3f600008dd9745e8357f5b7b3c1a69b8be6b7767,Atypical reflexive gaze patterns on emotional faces in autism spectrum disorders.,"The Journal of Neuroscience, September 15, 2010 • 30(37):12281–12287 • 12281
+Behavioral/Systems/Cognitive
+Atypical Reflexive Gaze Patterns on Emotional Faces in
+Autism Spectrum Disorders
+Dorit Kliemann,1,2,3 Isabel Dziobek,2 Alexander Hatri,1,2 Rosa Steimke,2,4 and Hauke R. Heekeren1,2,3
+Department of Educational Science and Psychology, and 2Cluster of Excellence, “Languages of Emotion,” Freie Universita¨t Berlin, 14195 Berlin, Germany,
+nd 3Max Planck Institute for Human Development, 14195 Berlin, Germany, and 4Department of Psychiatry and Psychotherapy, Charité University
+Medicine, 10117 Berlin, Germany
+Atypical scan paths on emotional faces and reduced eye contact represent a prominent feature of autism symptomatology, yet the reason
+for these abnormalities remains a puzzle. Do individuals with autism spectrum disorders (ASDs) fail to orient toward the eyes or do they
+ctively avoid direct eye contact? Here, we used a new task to investigate reflexive eye movements on fearful, happy, and neutral faces.
+Participants (ASDs: 12; controls: 11) initially fixated either on the eyes or on the mouth. By analyzing the frequency of participants’ eye
+movements away from the eyes and toward the eyes, respectively, we explored both avoidance and orientation reactions. The ASD group
+showed a reduced preference for the eyes relative to the control group, primarily characterized by more frequent eye movements away
+from the eyes. Eye-tracking data revealed a pronounced influence of active avoidance of direct eye contact on atypical gaze in ASDs. The
+ombination of avoidance and reduced orientation into an individual index predicted emotional recognition performance. Crucially, this
+result provides evidence for a direct link between individual gaze patterns and associated social symptomatology. These findings thereby
+give important insights into the social pathology of ASD, with implications for future research and interventions.
+Introduction
+Recent reports from the social-cognitive neurosciences have em-"

+3f60b1f800178841f4e0ecb79b64fe60b48ed03b,Video Scene Parsing with Predictive Feature Learning,"Video Scene Parsing with Predictive Feature Learning
+Xiaojie Jin1 Xin Li2 Huaxin Xiao2 Xiaohui Shen3 Zhe Lin3 Jimei Yang3
+Yunpeng Chen2 Jian Dong4 Luoqi Liu4 Zequn Jie2 Jiashi Feng2 Shuicheng Yan4,2
+NUS Graduate School for Integrative Science and Engineering, NUS
+360 AI Institute
+Department of ECE, NUS
+Adobe Research"

+3f9210830e31f42103c6550f75cb37fde18e5af1,HeadFusion: 360° Head Pose Tracking Combining 3D Morphable Model and 3D Reconstruction,"PAMI SPECIAL ISSUE
+HeadFusion: 360◦Head Pose tracking combining
+D Morphable Model and 3D Reconstruction
+Yu Yu, Kenneth Alberto Funes Mora, Jean-Marc Odobez"

+3f14b504c2b37a0e8119fbda0eff52efb2eb2461,Joint Facial Action Unit Detection and Feature Fusion: A Multi-Conditional Learning Approach,"Joint Facial Action Unit Detection and Feature
+Fusion: A Multi-Conditional Learning Approach
+Stefanos Eleftheriadis, Ognjen Rudovic, Member, IEEE, and Maja Pantic, Fellow, IEEE"

+3fac7c60136a67b320fc1c132fde45205cd2ac66,Remarks on Computational Facial Expression Recognition from HOG Features Using Quaternion Multi-layer Neural Network,"Remarks on Computational Facial Expression
+Recognition from HOG Features Using
+Quaternion Multi-layer Neural Network
+Kazuhiko Takahashi1, Sae Takahashi1, Yunduan Cui2,
+nd Masafumi Hashimoto3
+Information Systems Design, Doshisha University, Kyoto, Japan
+Graduate School of Doshisha University, Kyoto, Japan
+Intelligent Information Engineering and Science, Doshisha University, Kyoto, Japan"

+3f0e00188d751829c4548f9aacb939b982425ebd,Template Protection For 3D Face Recognition,"Template Protection For 3D Face Recognition
+Template Protection For 3D Face Recognition
+Xuebing Zhou, Arjan Kuijper and Christoph Busch
+Fraunhofer Institute for Computer Graphics Research IGD
+Germany"

+3f9a7d690db82cf5c3940fbb06b827ced59ec01e,VIP: Finding important people in images,"VIP: Finding Important People in Images
+Clint Solomon Mathialagan
+Virginia Tech
+Andrew C. Gallagher
+Google Inc.
+Dhruv Batra
+Virginia Tech
+Project: https://computing.ece.vt.edu/~mclint/vip/
+Demo: http://cloudcv.org/vip/"

+3fd90098551bf88c7509521adf1c0ba9b5dfeb57,Attribute-Based Classification for Zero-Shot Visual Object Categorization,"Page 1 of 21
+*****For Peer Review Only*****
+Attribute-Based Classification for Zero-Shot
+Visual Object Categorization
+Christoph H. Lampert, Hannes Nickisch and Stefan Harmeling"

+3f5158ea65bb483c6797462faffa16fea9f0b004,"Lie-X: Depth Image Based Articulated Object Pose Estimation, Tracking, and Action Recognition on Lie Groups","Lie-X : Depth Image Based Articulated Object Pose Estimation,
+Tracking, and Action Recognition on Lie Groups
+Chi Xu1, Lakshmi Narasimhan Govindarajan1, Yu Zhang1, and Li Cheng∗1
+Bioinformatics Institute, A*STAR, Singapore"

+3faff93758fe7fc58b3832055cb15c6ca3f306a7,Evaluation of multi feature fusion at score-level for appearance-based person re-identification,"Evaluation of Multi Feature Fusion at Score-Level
+for Appearance-based Person Re-Identification
+Markus Eisenbach
+Ilmenau University of Technology
+98684 Ilmenau, Germany
+Alexander Kolarow
+Alexander Vorndran
+Julia Niebling
+Horst-Michael Gross
+Ilmenau University of Technology
+Ilmenau University of Technology
+98684 Ilmenau, Germany
+98684 Ilmenau, Germany"

+3f7723ab51417b85aa909e739fc4c43c64bf3e84,Improved Performance in Facial Expression Recognition Using 32 Geometric Features,"Improved Performance in Facial Expression
+Recognition Using 32 Geometric Features
+Giuseppe Palestra1(B), Adriana Pettinicchio2, Marco Del Coco2,
+Pierluigi Carcagn`ı2, Marco Leo2, and Cosimo Distante2
+Department of Computer Science, University of Bari, Bari, Italy
+National Institute of Optics, National Research Council, Arnesano, LE, Italy"

+3fb689c0f1db224d53d9fdaee578d3ff8522f807,"Integrating Motion, Illumination, and Structure in Video Sequences with Applications in Illumination-Invariant Tracking","Integrating Motion, Illumination, and Structure
+in Video Sequences with Applications in
+Illumination-Invariant Tracking
+Yilei Xu, Student Member, IEEE, and Amit K. Roy-Chowdhury, Member, IEEE"

+3f63f9aaec8ba1fa801d131e3680900680f14139,Facial Expression recognition using Local Binary Patterns and Kullback Leibler divergence,"Facial Expression Recognition using Local Binary
+Patterns and Kullback Leibler Divergence
+AnushaVupputuri, SukadevMeher
+divergence."

+3f0e0739677eb53a9d16feafc2d9a881b9677b63,Efficient Two-Stream Motion and Appearance 3D CNNs for Video Classification,"Efficient Two-Stream Motion and Appearance 3D CNNs for
+Video Classification
+Ali Diba
+ESAT-KU Leuven
+Ali Pazandeh
+Sharif UTech
+Luc Van Gool
+ESAT-KU Leuven, ETH Zurich"

+302fee58f8c9498e8a5e543312e7c11baf7e0827,Robust voting algorithm based on labels of behavior for video copy detection,"Robust Voting Algorithm Based on Labels of Behavior
+for Video Copy Detection
+Julien Law-To, Olivier Buisson
+Valerie Gouet-Brunet, Nozha Boujemaa
+INRIA Institut National
+de la Recherche et de l’Informatique
+Rocquencourt, France
+Institut National de l’Audiovisuel
+Bry Sur Marne, France
+(jlawto,obuisson)"

+30b15cdb72760f20f80e04157b57be9029d8a1ab,Face Aging with Identity-Preserved Conditional Generative Adversarial Networks,"Face Aging with Identity-Preserved
+Conditional Generative Adversarial Networks
+Zongwei Wang
+Shanghaitech University
+Xu Tang
+Baidu
+Weixin Luo, Shenghua Gao∗
+Shanghaitech University
+{luowx,"

+30c8a2b6a505645b9f93dcc4d365eee6f46c4c37,Using Curvilinear Features in Focus for Registering a Single Image to a 3D Object,"Using Curvilinear Features in Focus for Registering
+Single Image to a 3D Object
+Hatem A. Rashwan, Sylvie Chambon, Pierre Gurdjos, G´eraldine Morin and Vincent Charvillat"

+30870ef75aa57e41f54310283c0057451c8c822b,Overcoming catastrophic forgetting with hard attention to the task,"Overcoming Catastrophic Forgetting with Hard Attention to the Task
+Joan Serr`a 1 D´ıdac Sur´ıs 1 2 Marius Miron 1 3 Alexandros Karatzoglou 1"

+305346d01298edeb5c6dc8b55679e8f60ba97efb,Fine-Grained Face Annotation Using Deep Multi-Task CNN,"Article
+Fine-Grained Face Annotation Using Deep
+Multi-Task CNN
+Luigi Celona *
+, Simone Bianco
+nd Raimondo Schettini
+Department of Informatics, Systems and Communication, University of Milano-Bicocca,
+viale Sarca, 336 Milano, Italy; (S.B.); (R.S.)
+* Correspondence:
+Received: 3 July 2018; Accepted: 13 August 2018; Published: 14 August 2018"

+306ae56a4fc8f090e58a237749950e1607382ed7,Spatio-Temporal Matching for Human Pose Estimation in Video,"Spatio-temporal Matching for
+Human Pose Estimation in Video
+Feng Zhou and Fernando De la Torre"

+30ccfd2b4b6d5b30581356ccefcf96fd77c1766a,Overview of the ImageCLEF 2014 Scalable Concept Image Annotation Task,"Overview of the ImageCLEF 2016 Scalable
+Concept Image Annotation Task
+Andrew Gilbert, Luca Piras, Josiah Wang, Fei Yan, Arnau Ramisa, Emmanuel
+Dellandrea, Robert Gaizauskas, Mauricio Villegas and Krystian Mikolajczyk"

+30aac3becead355545b5ab7f0c3158040360021e,ACD: Action Concept Discovery from Image-Sentence Corpora,"ACD: Action Concept Discovery from
+Image-Sentence Corpora
+Jiyang Gao
+Univ. of Southern California
+Chen Sun
+Univ. of Southern California
+Ram Nevatia
+Univ. of Southern California"

+30962cf6f47396df88bf1c8827ebda8f0a6ff516,A Convolutional Neural Network Approach for Assisting Avalanche Search and Rescue Operations with UAV Imagery,"Article
+A Convolutional Neural Network Approach for
+Assisting Avalanche Search and Rescue Operations
+with UAV Imagery
+Mesay Belete Bejiga 1, Abdallah Zeggada 1, Abdelhamid Nouffidj 2 and Farid Melgani 1,*
+Department of Information Engineering and Computer Science University of Trento, 38123 Trento, Italy;
+(M.B.B.); (A.Z.)
+Département des Télécommunications, Faculté d’Electronique et d’Informatique, USTHB BP 32, El-Alia,
+Bab-Ezzouar, 16111 Algiers, Algeria;
+* Correspondence: Tel.: +39-046-128-1573
+Academic Editors: Francesco Nex, Xiaofeng Li and Prasad S. Thenkabail
+Received: 11 November 2016; Accepted: 14 January 2017; Published: 24 January 2017"

+309e17e6223e13b1f76b5b0eaa123b96ef22f51b,Face recognition based on a 3D morphable model,"Face Recognition based on a 3D Morphable Model
+Volker Blanz
+University of Siegen
+H¤olderlinstr. 3
+57068 Siegen, Germany"

+30256c10cb7ec139b4245855850998c39b297975,Functional magnetic resonance imaging of autism spectrum disorders,"C l i n i c a l   r e s e a r c h
+Functional magnetic resonance imaging of
+utism spectrum disorders
+Gabriel S. Dichter, PhD
+Introduction
+utism was first described by Leo Kanner1 and
+Hans Asperger2 in a series of clinical case studies. Both
+linicians suggested that the conditions now referred to
+s autism spectrum disorders (ASDs) may have a neu-
+robiological basis. With the relatively recent advent of
+modern brain imaging techniques, translational psychi-
+tric  research  has  embraced  the  systematic  study  of
+This review presents an overview of functional magnetic resonance imaging findings in autism spectrum disorders
+(ASDs). Although there is considerable heterogeneity with respect to results across studies, common themes have
+emerged, including: (i) hypoactivation in nodes of the “social brain” during social processing tasks, including regions
+within the prefrontal cortex, the posterior superior temporal sulcus, the amygdala, and the fusiform gyrus; (ii) aber-
+rant frontostriatal activation during cognitive control tasks relevant to restricted and repetitive behaviors and inter-
+ests, including regions within the dorsal prefrontal cortex and the basal ganglia; (iii) differential lateralization and
+ctivation of language processing and production regions during communication tasks; (iv) anomalous mesolimbic
+responses to social and nonsocial rewards; (v) task-based long-range functional hypoconnectivity and short-range"

+3046baea53360a8c5653f09f0a31581da384202e,Deformable Face Alignment via Local Measurements and Global Constraints,"Deformable Face Alignment via Local
+Measurements and Global Constraints
+Jason M. Saragih"

+30aff559ad25dd3490712749793547bc89b0f103,Image Latent Semantic Analysis for Face Recognition,"Image Latent Semantic Analysis for Face Recognition
+Jucheng Yang 1,2,3 , Yanbin Jiao2, Jinfeng Yang4,Zhijun Fang2 , Congcong Xiong1,
+Lei Shu2
+College of Computer Science and Information Engineering, Tianjin University of Science
+nd Technology, Tianjin, China.
+School of Information Technology, Jiangxi University of Finance and Economics,
+Nanchang, China. {ybjiao, zjfang, lshu
+Ahead Software Company Limited, Nanchang, 330041, China
+Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China,
+Tianjin, China"

+3028690d00bd95f20842d4aec84dc96de1db6e59,Leveraging Union of Subspace Structure to Improve Constrained Clustering,"Leveraging Union of Subspace Structure to Improve Constrained Clustering
+John Lipor 1 Laura Balzano 1"

+308647f22e3f1c80b7416b3c53fd56f9abfa904f,Robust Real-Time Tracking with Diverse Ensembles and Random Projections,"Robust Real-Time Tracking with Diverse Ensembles and Random Projections
+Center for Informatics Science,
+Center for Informatics Science,
+Sara Maher
+Nile University
+Giza, Egypt
+Mohamed El Helw
+Center for Informatics Science,
+Nile University
+Giza, Egypt
+Ahmed Salaheldin
+Nile University
+Giza, Egypt"

+30f7609d111bb3bc006e3dd38678291528aa14d3,A new approach for extracting and summarizing abnormal activities in surveillance videos,"014 IEEE International
+Conference on Multimedia and
+Expo Workshops
+(ICMEW 2014)
+Chengdu, China
+4-18 July 2014
+Pages 516-1030
+IEEE Catalog Number:
+ISBN:
+CFP14IEW-POD
+978-1-4799-4716-4"

+30c96cc041bafa4f480b7b1eb5c45999701fe066,Discrete Cosine Transform Locality-Sensitive Hashes for Face Retrieval,"Discrete Cosine Transform Locality-Sensitive
+Hashes for Face Retrieval
+Mehran Kafai, Member, IEEE, Kave Eshghi, and Bir Bhanu, Fellow, IEEE"

+300fb25626bebfc84cf2f6458784b5cdf5c3ffc2,Cross-Dataset Adaptation for Visual Question Answering,"Cross-Dataset Adaptation for Visual Question Answering
+Wei-Lun Chao∗
+Hexiang Hu∗
+Fei Sha
+U. of Southern California
+U. of Southern California
+U. of Southern California
+Los Angeles, CA
+Los Angeles, CA
+Los Angeles, CA"

+30eed14dfdee78279536e680871bed4f128d5f46,A Study of Calorie Estimation in Pictures of Food,

+306957285fea4ce11a14641c3497d01b46095989,Face Recognition Under Varying Lighting Based on Derivates of Log Image,"FACE RECOGNITION UNDER VARYING LIGHTING BASED ON
+DERIVATES OF LOG IMAGE
+Laiyun Qing1,2, Shiguang Shan2,  Wen Gao1,2
+ICT-ISVISION Joint R&D Laboratory for Face Recognition, CAS, Beijing 100080, China
+Graduate School, CAS, Beijing, 100039, China"

+309e5ae1554d2afc3b94eaea66b8f31ba85c434a,"Bian, Xiao. Sparse and Low-rank Modeling on High Dimensional Data: a Geometric Perspective. (under the Direction of Dr. Hamid Krim.) Sparse and Low-rank Modeling on High Dimensional Data: a Geometric Perspective",

+30f113d985d876a3974838b2ead49a069b474e57,Guided Upsampling Network for Real-Time Semantic Segmentation,"MAZZINI: GUN FOR REAL-TIME SEMANTIC SEGMENTATION
+Guided Upsampling Network for Real-Time
+Semantic Segmentation
+Davide Mazzini
+Department of Informatics, Systems
+nd Communication
+University of Milano-Bicocca
+viale Sarca 336 Milano, Italy"

+3005a4afddab849d9070788ac0e4e95e0fff2216,"Transfer Metric Learning: Algorithms, Applications and Outlooks","JOURNAL OF LATEX CLASS FILES, VOL. XX, NO. X, XXXX XXXX
+Transfer Metric Learning: Algorithms,
+Applications and Outlooks
+Yong Luo, Yonggang Wen, Senior Member, IEEE, Ling-Yu Duan, Member, IEEE,
+nd Dacheng Tao, Fellow, IEEE"

+307a810d1bf6f747b1bd697a8a642afbd649613d,An affordable contactless security system access for restricted area,"An affordable contactless security system access
+for restricted area
+Pierre Bonazza1, Johel Mitéran1, Barthélémy Heyrman1, Dominique Ginhac1,
+Vincent Thivent2, Julien Dubois1
+Laboratory Le2i
+University Bourgogne Franche-Comté, France
+Odalid compagny, France
+Contact
+Keywords – Smart Camera, Real-time Image Processing, Biometrics, Face Detection, Face Verifica-
+tion, EigenFaces, Support Vector Machine,
+We  present  in  this  paper  a  security  system  based  on
+identity verification process and a low-cost smart cam-
+era, intended to avoid unauthorized access to restricted
+rea.  The  Le2i  laboratory  has  a  longstanding  experi-
+ence in smart cameras implementation and design [1],
+for  example in the  case of  real-time classical  face de-
+tection [2] or human fall detection [3].
+The principle of the system, fully thought and designed
+in  our  laboratory,  is  as  follows:  the  allowed  user  pre-
+sents a RFID card to the reader based on Odalid system"

+301474a50a39b24917ad79bd2493f1168c4c1227,Eigen-disfigurement model for simulating plausible facial disfigurement after reconstructive surgery,"Lee et al. BMC Medical Imaging  (2015) 15:12
+DOI 10.1186/s12880-015-0050-7
+R ES EAR CH A R T I C LE
+Open Access
+Eigen-disfigurement model for simulating plausible
+facial disfigurement after reconstructive surgery
+Juhun Lee1,2, Michelle C Fingeret2,3, Alan C Bovik1, Gregory P Reece2, Roman J Skoracki2,
+Matthew M Hanasono2 and Mia K Markey4,5*"

+30b32f4a6341b5809428df1271bdb707f2418362,A Sequential Neural Encoder With Latent Structured Description for Modeling Sentences,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+A Sequential Neural Encoder with Latent Structured
+Description for Modeling Sentences
+Yu-Ping Ruan, Qian Chen, and Zhen-Hua Ling, Member, IEEE"

+30a059872d0fff3442504c24880c93738036e6aa,Calcul Neuronal Distribué Pour La Perception Visuelle Du Mouvement Th`ese,"UFRmath´ematiquesetinformatique´EcoledoctoraleIAEMLorraineD´epartementdeformationdoctoraleeninformatiqueCalculneuronaldistribu´epourlaperceptionvisuelledumouvementTH`ESEpr´esent´eeetsoutenuepubliquementle14Octobre2011pourl’obtentionduDoctoratdel’universit´eNancy2(sp´ecialit´einformatique)parMauricioDavidCerdaVillablancaCompositiondujuryPr´esident:Lepr´esidentRapporteurs:MathiasQUOYProfesseur,Universit´edeCergy-Pontoise,FranceAdrianPALACIOSProfesseur,UniversidaddeValparaiso,ChiliExaminateurs:HeikoNEUMANNProfesseur,UniversityofUlm,AllemagneAnneBOYERProfesseur,Universit´eNancy2,FranceRachidDERICHEDirecteurdeRecherche,INRIA,Sophia-Antipolis,FranceBernardGIRAU(directeur)Professeur,Universit´eHenriPoincar´e,Nancy1LaboratoireLorraindeRechercheenInformatiqueetsesApplications—UMR7503"

+300eb15b819ecc9668be26735e5038efc4e05281,Object-based Place Recognition for Mobile Robots Using Panoramas,"Object-based Place Recognition for
+Mobile Robots Using Panoramas
+Arturo RIBES a,1, Arnau RAMISA a and Ramon LOPEZ DE MANTARAS a and
+Ricardo TOLEDO b
+Artificial Intelligence Research Institute (IIIA-CSIC), Campus UAB, 08193 Bellaterra,
+Computer Vision Center (CVC), Campus UAB, 08193 Bellaterra, Spain
+Spain"

+30bb582c2c09abc7eb9dda7d9f80804eeb89f9d7,Research Problems and Opportunities in Memory Systems,"ResearchProblemsandOpportunitiesinMemorySystemsOnurMutlu1,LavanyaSubramanian1c(cid:13)TheAuthors2014.ThispaperispublishedwithopenaccessatSuperFri.orgThememorysystemisafundamentalperformanceandenergybottleneckinalmostallcom-putingsystems.Recentsystemdesign,application,andtechnologytrendsthatrequiremoreca-pacity,bandwidth,ef‌f‌iciency,andpredictabilityoutofthememorysystemmakeitanevenmoreimportantsystembottleneck.Atthesametime,DRAMtechnologyisexperiencingdif‌f‌iculttech-nologyscalingchallengesthatmakethemaintenanceandenhancementofitscapacity,energy-ef‌f‌iciency,andreliabilitysignificantlymorecostlywithconventionaltechniques.Inthisarticle,afterdescribingthedemandsandchallengesfacedbythememorysystem,weexaminesomepromisingresearchanddesigndirectionstoovercomechallengesposedbymemoryscaling.Specifically,wedescribethreemajornewresearchchallengesandsolutiondirections:1)enablingnewDRAMarchitectures,functions,interfaces,andbetterintegrationoftheDRAMandtherestofthesystem(anapproachwecallsystem-DRAMco-design),2)designingamemorysystemthatemploysemergingnon-volatilememorytechnologiesandtakesadvantageofmultipledifferenttechnologies(i.e.,hybridmemorysystems),3)providingpredictableperformanceandQoStoapplicationssharingthememorysystem(i.e.,QoS-awarememorysystems).WealsobrieflydescribeourongoingrelatedworkincombatingscalingchallengesofNANDflashmemory.Keywords:memorysystems,scaling,DRAM,flash,non-volatilememory,QoS,reliability.IntroductionMainmemoryisacriticalcomponentofallcomputingsystems,employedinserver,em-bedded,desktop,mobileandsensorenvironments.Memorycapacity,energy,cost,performance,andmanagementalgorithmsmustscaleaswescalethesizeofthecomputingsysteminordertomaintainperformancegrowthandenablenewapplications.Unfortunately,suchscalinghasbe-comedif‌f‌icultbecauserecenttrendsinsystems,applications,andtechnologygreatlyexacerbatethememorysystembottleneck.1.MemorySystemTrendsInparticular,onthesystems/architecturefront,energyandpowerconsumptionhavebecomekeydesignlimitersasthememorysystemcontinuestoberesponsibleforasignificantfractionofoverallsystemenergy/power[112].Moreandincreasinglyheterogeneousprocessingcoresandagents/clientsaresharingthememorysystem[11,36,39,60,78,79,178,181],leadingtoincreasingdemandformemorycapacityandbandwidthalongwitharelativelynewdemandforpredictableperformanceandqualityofservice(QoS)fromthememorysystem[129,137,176].Ontheapplicationsfront,importantapplicationsareusuallyverydataintensiveandarebecomingincreasinglyso[17],requiringbothreal-timeandof‌f‌linemanipulationofgreatamountsofdata.Forexample,next-generationgenomesequencingtechnologiesproducemassiveamountsofsequencedatathatoverwhelmsmemorystorageandbandwidthrequirementsoftoday’shigh-enddesktopandlaptopsystems[9,111,186,196,197]yetresearchershavethegoalofenablinglow-costpersonalizedmedicine,whichrequiresevenlargeramountsofdataandtheireffectiveanalyses.Creationofnewkillerapplicationsandusagemodelsforcomputerslikelydependsonhowwellthememorysystemcansupporttheef‌f‌icientstorageandmanipulationofdatainsuch1CarnegieMellonUniversityDOI:10.14529/jsfi1403022014,Vol.1,No.319"

+302c2293e36e0704ccfe9af759a8505df588eb07,Face recognition with Multilevel B-Splines and Support Vector Machines,"Face Recognition with Multilevel B-Splines and Support
+Vector Machines
+Manuele Bicego
+Dipartimento di Informatica
+University of Verona
+Strada Le Grazie 15
+7134 Verona - Italia
+Gianluca Iacono
+Dipartimento di Informatica
+University of Verona
+Strada Le Grazie 15
+7134 Verona - Italia
+Vittorio Murino
+Dipartimento di Informatica
+University of Verona
+Strada Le Grazie 15
+7134 Verona - Italia"

+30f84c48bdf2f6152075dd9651a761a84b2f2166,"No fear, no panic: probing negation as a means for emotion regulation.","doi:10.1093/scan/nss043
+SCAN (2013) 8, 654 ^661
+No fear, no panic: probing negation as a means for
+emotion regulation
+Cornelia Herbert,1 Roland Deutsch,2 Petra Platte,1 and Paul Pauli1
+Department of Psychology, Biological Psychology, Clinical Psychology and Psychotherapy, University of Wu¨rzburg, 97070 Wu¨rzburg and
+Department of Psychology, Technische Universita¨t Dresden, Dresden, Germany
+This electroencephalographic study investigated if negating one’s emotion results in paradoxical effects or leads to effective emotional downregulation.
+Healthy participants were asked to downregulate their emotions to happy and fearful faces by using negated emotional cue words (e.g. no fun, no fear).
+Cue words were congruent with the emotion depicted in the face and presented prior to each face. Stimuli were presented in blocks of happy and fearful
+faces. Blocks of passive stimulus viewing served as control condition. Active regulation reduced amplitudes of early event-related brain potentials (early
+posterior negativity, but not N170) and the late positive potential for fearful faces. A fronto-central negativity peaking at about 250 ms after target face
+onset showed larger amplitude modulations during downregulation of fearful and happy faces. Behaviorally, negating was more associated with
+reappraisal than with suppression. Our results suggest that in an emotional context, negation processing could be quite effective for emotional
+downregulation but that its effects depend on the type of the negated emotion (pleasant vs unpleasant). Results are discussed in the context of
+dual process models of cognition and emotion regulation.
+Keywords: emotion regulation; event-related brain potentials; negation; reappraisal; suppression
+INTRODUCTION
+Emotion regulation is an important aspect of everyday life (Gross and
+John, 2003; Nezlek and Kuppens, 2008). Imagine the following situ-"

+300b8caf79783a7eba5608b5819b6fed14273d2d,Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition,"Unsupervised Joint Mining of Deep Features and Image Labels
+for Large-scale Radiology Image Categorization and Scene Recognition
+Xiaosong Wang, Le Lu, Hoo-chang Shin, Lauren Kim, Mohammadhadi Bagheri,
+Isabella Nogues, Jianhua Yao, Ronald M. Summers
+Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center,
+0 Center Drive, Bethesda, MD 20892"

+300b819bbbe857f5fe89d0895f907073fc288719,"Towards a Robust People Tracking Framework for Service Robots in Crowded, Dynamic Environments","Towards a Robust People Tracking Framework
+for Service Robots in Crowded, Dynamic Environments
+Timm Linder
+Fabian Girrbach
+Kai O. Arras"

+305dccd4004560572af2e849a36faf5626990517,Comparative Analysis of Face Recognition Approaches : A Survey,"Comparative Analysis of Face Recognition Approaches:
+International Journal of Computer Applications (0975 – 8887)
+Volume 57– No.17, November 2012
+A Survey
+Ripal Patel, Nidhi Rathod, Ami Shah
+Electronics & Telecommunication Department,
+BVM Engineering College,
+Vallabh Vidyanagar-388120, Gujarat, India."

+30fd7b1f8502b1c1d7a855946d99d2d5323ec973,Big Data Analysis for 2 Media Production,"I N V I T E D
+P A P E R
+Big Data Analysis for
+Media Production
+By Josep Blat, Alun Evans, Hansung Kim, Evren Imre, Luka`sˇ Polok,
+Viorela Ila, Nikos Nikolaidis, Senior Member IEEE, Pavel Zemcˇı´k, Anastasios Tefas,
+Pavel Smrzˇ, Adrian Hilton, Member IEEE, and Ioannis Pitas, Fellow IEEE"

+302c9c105d49c1348b8f1d8cc47bead70e2acf08,Unconstrained Face Recognition Using A Set-to-Set Distance Measure,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TCSVT.2017.2710120, IEEE
+Transactions on Circuits and Systems for Video Technology
+IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
+Unconstrained Face Recognition Using A Set-to-Set
+Distance Measure
+Jiaojiao Zhao, Jungong Han, and Ling Shao, Senior Member IEEE"

+30861d747c87e2e838c1c30eed334b17cc93cdb6,Bootstrapping Face Detection with Hard Negative Examples,"Bootstrapping Face Detection with Hard
+Negative Examples
+Shaohua Wan
+Zhijun Chen Tao Zhang Bo Zhang Kong-kat Wong
+{wanshaohua, chenzhijun, tao.zhang, zhangbo,
+Xiaomi Inc.
+August 9, 2016"

+301b0da87027d6472b98361729faecf6e1d5e5f6,Head Pose Estimation in Face Recognition Across Pose Scenarios,"HEAD POSE ESTIMATION IN FACE RECOGNITION ACROSS
+POSE SCENARIOS
+M. Saquib Sarfraz and Olaf Hellwich
+Computer vision and Remote Sensing, Berlin university of Technology
+Sekr. FR-3-1, Franklinstr. 28/29, D-10587, Berlin, Germany.
+Keywords:
+Pose estimation, facial pose, face recognition, local energy models, shape description, local features, head
+pose classification."

+30b103d59f8460d80bb9eac0aa09aaa56c98494f,Enhancing Human Action Recognition with Region Proposals,"Enhancing Human Action Recognition with Region Proposals
+Fahimeh Rezazadegan, Sareh Shirazi, Niko Sünderhauf, Michael Milford, Ben Upcroft
+Australian Centre for Robotic Vision(ACRV), School of Electrical Engineering and Computer Science
+Queensland University of Technology(QUT)"

+5e6f546a50ed97658be9310d5e0a67891fe8a102,Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?,"Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
+Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh
+National Institute of Advanced Industrial Science and Technology (AIST)
+Tsukuba, Ibaraki, Japan
+{kensho.hara, hirokatsu.kataoka,"

+5e5e11e143140cc376db466d5b096a54b900c2ba,Face Recognition in Uncontrolled Environment,"(IJACSA) International Journal of Advanced Computer Science and Applications,
+Vol. 7, No. 8, 2016
+Face Recognition in Uncontrolled Environment
+Radhey Shyam and Yogendra Narain Singh
+Department of Computer Science & Engineering
+Institute of Engineering and Technology
+Lucknow - 226 021, India"

+5eee9c417157916ee66689718af65965c423b2b7,Autism and Asperger’s Syndrome: A Cognitive Neuroscience Perspective,"In Press: Carol Armstrong, Ed., Handbook of Medical Neuropsychology. New York:
+Springer Science.
+Autism and Asperger’s Syndrome: A Cognitive Neuroscience Perspective
+Jeanne Townsend, Ph.D., Marissa Westerfield, Ph.D.
+Department of Neurosciences, University of California, San Diego
+Table of Contents
+History and Background
+Biological Underpinnings
+Postmortem Studies
+MRI Studies
+White Matter Connectivity
+Neuroanatomy
+EEG Abnormalities
+Seizures
+Diagnosis
+Neurocognitive Mechanisms
+Screening Guidelines
+Clinical & Research Criteria
+Increased Prevalence of Autism
+It’s not the vaccine"

+5e0eb34aeb2b58000726540336771053ecd335fc,Low-Quality Video Face Recognition with Deep Networks and Polygonal Chain Distance,"Low-Quality Video Face Recognition with Deep
+Networks and Polygonal Chain Distance
+Christian Herrmann∗†, Dieter Willersinn†, J¨urgen Beyerer†∗
+Vision and Fusion Lab, Karlsruhe Institute of Technology KIT, Karlsruhe, Germany
+Fraunhofer IOSB, Karlsruhe, Germany"

+5e0832848fab012b7e59580264257e0a3d05c596,The University of Southampton Multi-Biometric Tunnel and introducing a novel 3D gait dataset,"The University of Southampton Multi-Biometric Tunnel and
+introducing a novel 3D gait dataset
+Richard D. Seely, Sina Samangooei, Lee Middleton, John N. Carter and Mark S. Nixon"

+5eae1a3e0dfd0834be6a003b979bf5b3dc923453,"Far-Field, Multi-Camera, Video-to-Video Face Recognition","Far-Field, Multi-Camera, Video-to-Video Face
+Recognition
+Aristodemos Pnevmatikakis and Lazaros Polymenakos
+Athens Information Technology
+Greece
+. Introduction
+Face recognition on still images has been extensively studied. Given sufficient training data
+(many  gallery  stills  of  each  person)  and/or  high  resolution  images,  the  90%  recognition
+arrier can be exceeded, even for hundreds of different people to be recognized (Phillips et
+l.,  2006).  Face  recognition  on  video  streams  has  only  recently  begun  to  receive  attention
+(Weng  et  al.,  2000;  Li  et  al.,  2001;  Gorodnichy,  2003;  Lee  et  al.,  2003;  Liu  and  Chen,  2003;
+Raytchev  and  Murase,  2003;  Aggarval  et  al.,  2004;  Xie  et  al.,  2004;  Stergiou  et  al.,  2006).
+Video-to-video face recognition refers to the problem of training and testing face recognition
+systems using video streams. Usually these video streams are near-field, where the person
+to be recognized occupies most of the frame. They are also constrained in the sense that the
+person  looks mainly  at  the  camera.  Typical such  video streams  originate  from  video-calls
+nd news narration, where a person’s head and upper torso is visible.
+A  much  more  interesting  application  domain  is  that  of  the  far-field  unconstrained  video
+streams. In such streams the people are far from the camera, which is typically mounted on a
+room corner near the ceiling. VGA-resolution cameras in such a setup can easily lead to quite"

+5ecf564bc9eab26c96c17304744ff1029215a109,Single-Sample Face Recognition Based on Intra-Class Differences in a Variation Model,"Sensors 2015, 15, 1071-1087; doi:10.3390/s150101071
+OPEN ACCESS
+sensors
+ISSN 1424-8220
+www.mdpi.com/journal/sensors
+Article
+Single-Sample Face Recognition Based on Intra-Class
+Differences in a Variation Model
+Jun Cai, Jing Chen * and Xing Liang
+School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China;
+E-Mails: (J.C.); (X.L.)
+*  Author to whom correspondence should be addressed; E-Mail:
+Tel.: +86-136-8151-5195.
+External Editor: Valentina Gatteschi
+Received: 17 September 2014 / Accepted: 10 December 2014 / Published: 8 January 2015"

+5e0df06d92176f362d52962de866e2d825185afb,Improving Multi-frame Data Association with Sparse Representations for Robust Near-online Multi-object Tracking,"Improving Multi-Frame Data Association with
+Sparse Representations for Robust Near-Online
+Multi-Object Tracking
+Lo¨ıc Fagot-Bouquet1, Romaric Audigier1, Yoann Dhome1, Fr´ed´eric Lerasle2,3
+CEA, LIST, Vision and Content Engineering Laboratory,
+Point Courrier 173, F-91191 Gif-sur-Yvette, France
+CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France
+Universit´e de Toulouse, UPS, LAAS, F-31400 Toulouse, France"

+5e16cc5dc7ef8b4fc1320abbfeb838b4fe041905,A Proposal for Common Dataset in Neural-Symbolic Reasoning Studies,"A Proposal for Common Dataset in
+Neural-Symbolic Reasoning Studies
+Ozgur Yilmaz, Artur d’Avila Garcez, and Daniel Silver
+Turgut Ozal University, Computer Science Department, Ankara Turkey
+City University London, Department of Computer Science, London UK
+Acadia University, Jodrey School of Computer Science, Nova Scotia Canada,"

+5e28673a930131b1ee50d11f69573c17db8fff3e,Descriptor Based Methods in the Wild,"Author manuscript, published in ""Workshop on Faces in 'Real-Life' Images: Detection, Alignment, and Recognition, Marseille : France
+(2008)"""

+5ef49174ca2b54c1bb54df828acc52075cf1634b,DAPs: Deep Action Proposals for Action Understanding,"DAPs: Deep Action Proposals for Action
+Understanding
+Victor Escorcia1, Fabian Caba Heilbron1,
+Juan Carlos Niebles2,3, Bernard Ghanem1
+King Abdullah University of Science and Technology (KAUST), Saudi Arabia.
+Stanford University. 3 Universidad del Norte, Colombia.
+{victor.escorcia, fabian.caba,"

+5ea9063b44b56d9c1942b8484572790dff82731e,Multiclass Support Vector Machines and Metric Multidimensional Scaling for Facial Expression Recognition,"MULTICLASS SUPPORT VECTOR MACHINES AND METRIC MULTIDIMENSIONAL
+SCALING FOR FACIAL EXPRESSION RECOGNITION
+Irene Kotsiay, Stefanos Zafeiriouy, Nikolaos Nikolaidisy and Ioannis Pitasy
+yAristotle University of Thessaloniki, Department of Informatics
+Thessaloniki, Greece
+email: fekotsia, dralbert, nikolaid,"

+5e9a6357fd7de7271dac77756c3992dce260eb49,On the Convergence of Affective and Persuasive Technologies in Computer-mediated Health-care Systems,"Rebeca I. García-Betances
+Life Supporting Technologies (LifeSTech)
+Superior Technical School of
+Telecommunications Engineers
+Polytechnic University of Madrid
+Superior Technical School of
+Telecommunications Engineers
+Polytechnic University of Madrid
+Spain
+Dario Salvi
+Spain
+Giuseppe Fico
+Life Supporting Technologies (LifeSTech)
+Superior Technical School of
+Telecommunications Engineers
+Polytechnic University of Madrid
+Spain
+Manuel Ottaviano
+Superior Technical School of
+Telecommunications Engineers"

+5e8a7a2eef68f568c023f37e41576fa811e5c628,Deep Reinforcement Learning For Sequence to Sequence Models,"Deep Reinforcement Learning for
+Sequence-to-Sequence Models
+Yaser Keneshloo, Tian Shi, Naren Ramakrishnan, Chandan K. Reddy, Senior Member, IEEE"

+5e1b42d07eb84cddc1ebae607f3041aa2ef8fce8,RAM: Role Representation and Identification from combined Appearance and Activity Maps,"RAM: Role Representation and Identification
+from combined Appearance and Activity Maps
+Carlos Torres† Archith J. Bency† Je(cid:130)rey C. Fried‡ B. S. Manjunath†
+University of California Santa Barbara ‡Santa Barbara Co(cid:138)age Hospital
+{carlostorres, archith,"

+5e053cd164b02433c4efc0fc675f6273a8a1c46a,Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling,"Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, pages 321–331
+Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, pages 321–331
+Vancouver, Canada, July 30 - August 4, 2017. c(cid:13)2017 Association for Computational Linguistics
+Vancouver, Canada, July 30 - August 4, 2017. c(cid:13)2017 Association for Computational Linguistics
+https://doi.org/10.18653/v1/P17-1030
+https://doi.org/10.18653/v1/P17-1030"

+5e4ad1f19e88b6dc87000f64b984d8f09abe7baf,Invariant Spectral Hashing of Image Saliency Graph,"Invariant Spectral Hashing of Image Saliency Graph
+Maxime Taquet, Laurent Jacques, Christophe De Vleeschouwer and Benoˆıt Macq
+Information and Communication Technologies, Electronics and Applied Mathematics
+Universit´e catholique de Louvain, Belgium.
+September 17, 2010"

+5e832ea5328cdcc9b4346458672ad8288a56c0a7,Illumination-robust face recognition with Block-based Local Contrast Patterns,"978-1-5090-4117-6/17/$31.00 ©2017 IEEE
+ICASSP 2017"

+5e6ba16cddd1797853d8898de52c1f1f44a73279,Face Identification with Second-Order Pooling,"Face Identification with Second-Order Pooling
+Fumin Shen, Chunhua Shen and Heng Tao Shen"

+5e2b918f2dee17cb79d692e10aa2103ca9129e2c,Rotating your face using multi-task deep neural network,"Rotating Your Face Using Multi-task Deep Neural Network
+Junho Yim1 Heechul Jung1 ByungIn Yoo1;2 Changkyu Choi2 Dusik Park2
+Junmo Kim1
+School of Electrical Engineering, KAIST, South Korea
+Samsung Advanced Institute of Technology
+fjunho.yim, heechul,
+fbyungin.yoo, changkyu choi,"

+5e8e3d2a79537a6cd0c138545bce63ddafaa853c,Intent-aware long-term prediction of pedestrian motion,"Intent-Aware Long-Term Prediction of Pedestrian Motion
+Vasiliy Karasev
+Alper Ayvaci
+Bernd Heisele
+Stefano Soatto"

+5e2266d4ca1377bdf38ad2c07d0d9e0200813522,Recognizing and Mask Removal in 3D Faces Even In Presence of Occlusions,"ISSN(Online): 2320-9801
+ISSN (Print):  2320-9798
+International Journal of Innovative Research in Computer and Communication Engineering
+(An ISO 3297: 2007 Certified Organization)
+Vol.2, Special Issue 1, March 2014
+Proceedings of International Conference On Global Innovations In Computing Technology (ICGICT’14)
+Organized by
+Department of CSE, JayShriram Group of Institutions, Tirupur, Tamilnadu, India on 6th & 7th March 2014
+Recognizing and Mask Removal in 3D Faces Even
+In Presence of Occlusions
+M.Dhivya1, P.Purushothaman2
+Dept. of Computer Science and Engineering, Muthayammal Engineering College, Rasipuram, Tamilnadu, India1. 2"

+5eefe98aafffe665b19de515e3ba90c9c0b7219c,Trimmed Event Recognition Submission to ActivityNet Challenge 2018,"Trimmed Event Recognition​ Submission to ActivityNet Challenge 2018
+Jiaqing Lin,  Akikazu Takeuchi
+STAIR Lab, Chiba Institute of Technology, Japan
+{lin,
+. Overview
+This paper describes STAIR Lab submission to
+ActivityNet 2018 Challenge for guest
+task C:
+Trimmed Event Recognition (Moments in Time) [1].
+Our approach is to utilize three networks, Audio
+Net, Spatial-temporal Net, and DenseNet to make
+individual predictions, then use MLP to fuses the
+results to make an overall prediction. The flow chart
+of our approach is shown in figure 1.
+. Implementation
+.1 Audio network
+Our audio dataset training is different from other
+methods. Usually, auditory raw waveforms are used
+s input and are fed into a model like SoundNet [2].
+In our case, firstly, we converted auditory raw"

+5e6944abfed38fd30d8be45ee0c24dc1c0525ba1,An Algorithm for Face Recognition based on Isolated Image Points with Neural Network,"International Journal of Computer Applications (0975 – 8887)
+Volume 150 – No.2, September 2016
+An Algorithm for Face Recognition based on Isolated
+Image Points with Neural Network
+Hassan Jaleel Hassan, PhD
+Computer Engineering Department,
+University of Technology
+techniques
+Pixel-based"

+5e9e3afeea446a2ae19e3a8e0678f08b73b0b36b,Commonsense knowledge acquisition and applications,"Commonsense Knowledge
+Acquisition and Applications
+Niket Tandon
+Max-Planck-Institut f¨ur Informatik
+Dissertation
+zur Erlangung des Grades
+des Doktors der Ingenieurwissenschaften (Dr.-Ing.)
+der Naturwissenschaftlich-Technischen Fakult¨aten
+der Universit¨at des Saarlandes
+Saarbr¨ucken
+August, 2016"

+5ece99e52efbd43ac7fed8a7d0d604218cba0337,Towards Deep Representation Learning with Genetic Programming,"Towards Deep Representation Learning with Genetic
+Programming(cid:63)
+Lino Rodriguez-Coayahuitl, Alicia Morales-Reyes, and Hugo Jair Escalante
+Instituto Nacional de Astrofisica, Optica y Electronica,
+Luis Enrique Erro No.1, Tonantzintla, 72840, Puebla, Mexico,"

+5ec94adc9e0f282597f943ea9f4502a2a34ecfc2,Leveraging the Power of Gabor Phase for Face Identification: A Block Matching Approach,"Leveraging the Power of Gabor Phase for Face
+Identification: A Block Matching Approach
+Yang Zhong, Haibo Li
+KTH, Royal Institute of Technology"

+5ebd9457a3a09889fad8cc86a91b274da5986636,oASIS: Adaptive Column Sampling for Kernel Matrix Approximation,"PATEL et al.: OASIS: ADAPTIVE COLUMN SAMPLING FOR KERNEL MATRIX APPROXIMATION
+oASIS: Adaptive Column Sampling
+for Kernel Matrix Approximation
+Raajen Patel*, Student Member, IEEE, Thomas A. Goldstein, Member, IEEE, Eva L. Dyer, Member, IEEE,
+Azalia Mirhoseini, Student Member, IEEE, and Richard G. Baraniuk, Fellow, IEEE"

+5e286a45a4780a142e1420728ab99cb92993ab50,Data-driven image captioning with meta-class based retrieval,"META-SINIF TABANLI GETİRME İLE VERİYE DAYALI İMGE ALTYAZILAMA
+DATA-DRIVEN IMAGE CAPTIONING WITH META-CLASS BASED RETRIEVAL
+Mert Kılıçkaya1, Erkut Erdem1, Aykut Erdem1, Nazlı İkizler Cinbiş1, Ruket Çakıcı2
+Bilgisayar Mühendisliği Bölümü
+Hacettepe Üniversitesi
+ÖZETÇE
+Otomatik imge altyazılama, bir imgenin açıklamasını yaratma
+işlemi,  bilgisayarlı  görü  ve  doğal  dil  işleme  topluluklarının
+ilgisini  daha  yeni  çeken  çok  zorlu  bir  problemdir.  Bu
+çalışmada,  verilen  bir  imge  için;  imge-altyazı  ikilileri  içeren
+geniş bir veri kümesinden ona görsel olarak en benzer imgeyi
+ulan  ve  onun  altyazısını  girdi  imgesinin  açıklaması  olarak
+ktaran  veriye  dayalı  özgün  bir  imge  altyazılama  stratejisi
+önerilmiştir.  Özgünlüğümüz,  getirme
+için  girdi
+görüntüsünün  anlamsal  içeriğini  daha  iyi  yakalamak  için
+meta-sınıg gösterimi olarak adlandırılan yeni önerilmiş yüksek
+düzey bir global imge gösterimi kullanılmasında yatmaktadır.
+Deneylerimiz  meta-sınıf  güdümlü  yaklaşımımızın  dayanak
+Im2Text  modeline  kıyasla  daha  doğru  açıklamalar  ürettiğini"

+5ef2be1aadd2f666756b2ab66bc05d146ba0681b,Normalization in Training Deep Convolutional Neural Networks for 2D Bio-medical Semantic Segmentation,"Normalization in Training Deep Convolutional Neural Networks for 2D
+Bio-medical Semantic Segmentation
+Xiao-Yun Zhou1 and Guang-Zhong Yang1"

+5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd,Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!,"Supervised COSMOS Autoencoder: Learning Beyond the
+Euclidean Loss!
+Maneet Singh, Student Member, IEEE, Shruti Nagpal, Student Member, IEEE, Mayank Vatsa, Senior Member, IEEE,
+Richa Singh, Senior Member, IEEE, and Afzel Noore, Senior Member, IEEE"

+5ee220b6fb70a3d4d99be9d81d2c0e5de06ab3b9,LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics,"Pre-print of article that will appear in Proceedings of Robotics: Science and Systems XIV, 2018.Please cite this paper as:Sourav Garg, Niko Sunderhauf, and Michael Milford. LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics. Proceedings of Robotics: Science and Systems XIV,  title={LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics},  author={Garg, Sourav and Suenderhauf, Niko and Milford, Michael},  journal={Proceedings of Robotics: Science and Systems XIV},  year={2018}}"

+5e4a451faf2e47486a5dbeca8a5109b53e22d95a,Statement Arun Kumar,"Research Statement
+Arun Kumar
+Large-scale data analytics using machine learning (ML), popularly known as advanced analytics or “Big
+Data” analytics, is transforming almost every data-powered application in the enterprise, Web, science,
+government, and other domains. However, there are still many barriers to broad and successful adoption
+of advanced analytics. Designing new ML algorithms and faster ML implementations are important issues
+that have been studied by researchers for a long time, but for most data-powered applications, the real
+showstopper is a different issue that is often glossed over in research: the end-to-end process of building
+ML models given raw data is often too painful even for professional analysts, while developers skilled in
+oth general-purpose programming and the latest ML are rare. The goal of my research is to improve the
+productivity of the users and developers of advanced analytics systems to enable data-powered applications
+to realize the full potential of advanced analytics. To this end, my work focuses on fundamental research
+questions at the intersection of data management and ML that address usability, developability, perfor-
+mance, and scalability issues. My approach to solving a problem involves the whole spectrum of algorithm
+design, theoretical analysis, empirical analysis, building prototype systems, and deploying them in practice.
+Research Summary. My dissertation opens up a new problem that I call “learning over joins”, which
+illustrates my goal of improving the productivity of analysts. My observation is simple: most ML toolkits
+ssume the input data is a single table, but many real-world datasets are multi-table. Thus, analysts join
+ll tables to create a single table that might be much larger, which means that managing and maintaining
+it is a usability headache. Creating a single table also causes storage and performance issues. To mitigate"

+5be74c6fa7f890ea530e427685dadf0d0a371fc1,Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification,"Deep Co-attention based Comparators For Relative
+Representation Learning in Person Re-identification
+Lin Wu, Yang Wang, Junbin Gao, Dacheng Tao, Fellow, IEEE"

+5b25b9053ceafe1cf8258d8daa818a2da80c800f,Assigning affinity-preserving binary hash codes to images,"Assigning af‌f‌inity-preserving
+inary hash codes to images
+Jason Filippou
+Varun Manjunatha
+June 10, 2014"

+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
+Recognition
+Mohammad Shahidul Islam
+Atish Dipankar University of Science & Technology, School, Department of Computer Science and Engineering, Dhaka, Bangladesh."

+5bc5cfc2622f6b0a0003d7b115726d075205a2cc,Auto Landing Process for Autonomous Flying Robot by Using Image Processing Based on Edge Detection,"AUTO LANDING PROCESS FOR
+AUTONOMOUS FLYING ROBOT BY USING
+IMAGE PROCESSING BASED ON EDGE
+DETECTION
+Bahram Lavi Sefidgari1 and Sahand Pourhassan Shamchi2
+Department of Computer Engineering, EMU, Famagusta, Cyprus
+Department of Mechanical Engineering, EMU, Famagusta, Cyprus"

+5ba7882700718e996d576b58528f1838e5559225,Predicting Personalized Image Emotion Perceptions in Social Networks,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TAFFC.2016.2628787, IEEE
+Transactions on Affective Computing
+IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, VOL. X, NO. X, OCTOBER 2016
+Predicting Personalized Image Emotion
+Perceptions in Social Networks
+Sicheng Zhao, Hongxun Yao, Yue Gao, Senior Member, IEEE, Guiguang Ding and Tat-Seng Chua"

+5b6f0a508c1f4097dd8dced751df46230450b01a,Finding lost children,"Finding Lost Children
+Ashley Michelle Eden
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2010-174
+http://www.eecs.berkeley.edu/Pubs/TechRpts/2010/EECS-2010-174.html
+December 20, 2010"

+5b10fa6b4c0921af7b36a58f4fd2d8fca6e3c9b1,Low-Rank Multi-View Learning in Matrix Completion for Multi-Label Image Classification,"Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence
+Low-Rank Multi-View Learning
+in Matrix Completion for Multi-Label Image Classification
+Meng Liu†, Yong Luo†§, Dacheng Tao‡, Chao Xu†, and Yonggang Wen§
+Key Laboratory of Machine Perception (MOE), School of EECS, PKU, Beijing 100871, China
+Center for Quantum Computation and Intelligent Systems, UTS, Sydney, NSW 2007, Australia
+§Division of Networks and Distributed Systems School of Computer Engineering, NTU, 639798, Singapore
+{lemolemac,"

+5bb684dfe64171b77df06ba68997fd1e8daffbe1,One-Sided Unsupervised Domain Mapping,

+5bf9493564d1ed173aee4dc701d4e62d5f926fe3,Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs,"Bonnet: An Open-Source Training and Deployment Framework
+for Semantic Segmentation in Robotics using CNNs
+Andres Milioto
+Cyrill Stachniss"

+5b0552a8e0ffdf1b6e7f2573640f888815391dec,Part-level fully convolutional networks for pedestrian detection,"978-1-5090-4117-6/17/$31.00 ©2017 IEEE
+ICASSP 2017"

+5b14abbea83270282ef94fcf3f3a73e7d8fee023,Experiments about the Generalization Ability of Common Vector based Methods for Face Recognition,"Experiments about the Generalization Ability of
+Common Vector based methods for Face
+Recognition ?
+Marcelo Armengot, Francesc J. Ferri, and Wladimiro D´ıaz
+Dept. d’Inform`atica, Universitat de Val`encia
+Dr Moliner, 50 46100 Burjassot, Spain"

+5b9c849c2acbdea6e3cfc730def4f083f169521c,A Method for Face Detection based on Wavelet Transform and optimised feature selection using Ant Colony Optimisation in Support Vector Machine,"ISSN (Print)   : 2320 – 9798
+ISSN (Online) : 2320 – 9801
+International Journal of Innovative  Research in Computer and Communication Engineering
+Vol. 1, Issue 2, April  2013
+A Method for Face Detection based on Wavelet
+Transform and optimised feature selection using Ant
+Colony Optimisation in Support Vector Machine
+Sanjay Kumar Pal1, Uday Chourasia 2 and Manish Ahirwar3
+Department of CSE, University Institute of Technology, RGPV, Bhopal, India1,2,3"

+5bf4f97b631937b2176db9c80dee965e2e2286be,From Classical to Generalized Zero-Shot Learning: a Simple Adaptation Process,"From Classical to Generalized Zero-Shot
+Learning: a Simple Adaptation Process
+Yannick Le Cacheux
+Herv´e Le Borgne
+CEA LIST
+CEA LIST
+Michel Crucianu
+CEDRIC Lab – CNAM
+September 27, 2018"

+5be6340c55d4a45e96e811bdeac3972328ca9247,People Identification and Tracking Through Fusion of Facial and Gait Features,"Original citation:
+Guan, Yu (Researcher in Computer Science), Wei, Xingjie, Li, Chang-Tsun and Keller,
+Y. (2014) People identification and tracking through fusion of facial and gait features. In:
+Cantoni, Virginio and Dimov, Dimo and Tistarell, Massimo, (eds.) Biometric
+Authentication : First International Workshop, BIOMET 2014, Sofia, Bulgaria, June 23-
+4, 2014. Revised Selected Papers. Lecture Notes in Computer Science . Springer
+International Publishing, pp. 209-221. ISBN 9783319133850
+Permanent WRAP url:
+http://wrap.warwick.ac.uk/65110
+Copyright and reuse:
+The Warwick Research Archive Portal (WRAP) makes this work by researchers of the
+University of Warwick available open access under the following conditions.  Copyright ©
+nd all moral rights to the version of the paper presented here belong to the individual
+uthor(s) and/or other copyright owners.  To the extent reasonable and practicable the
+material made available in WRAP has been checked for eligibility before being made
+vailable.
+Copies of full items can be used for personal research or study, educational, or not-for
+profit purposes without prior permission or charge.  Provided that the authors, title and
+full bibliographic details are credited, a hyperlink and/or URL is given for the original
+metadata page and the content is not changed in any way."

+5bae9822d703c585a61575dced83fa2f4dea1c6d,MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking,"MOTChallenge 2015:
+Towards a Benchmark for Multi-Target Tracking
+Laura Leal-Taix´e∗, Anton Milan∗, Ian Reid, Stefan Roth, and Konrad Schindler"

+5bcff482bd9652420f8f6b0e6e58ab59a562046e,Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification,"Bit-Scalable Deep Hashing with Regularized
+Similarity Learning for Image Retrieval and Person
+Re-identification
+Ruimao Zhang, Liang Lin, Rui Zhang, Wangmeng Zuo, and Lei Zhang"

+5babbad3daac5c26503088782fd5b62067b94fa5,Are You Sure You Want To Do That? Classification with Verification,"Are You Sure You Want To Do That?
+Classification with Verification
+Harris Chan∗
+Atef Chaudhury∗
+Kevin Shen∗"

+5bb87c7462c6c1ec5d60bde169c3a785ba5ea48f,Targeting Ultimate Accuracy: Face Recognition via Deep Embedding,"Targeting Ultimate Accuracy: Face Recognition via Deep Embedding
+Jingtuo Liu     Yafeng Deng     Tao Bai     Zhengping Wei     Chang Huang
+Baidu Research – Institute of Deep Learning"

+5b7870359b8b9934453f8e772ab7c3f9df3a5035,LF Indoor Location and Identification System,"LF Indoor Location and Identification System
+Antti Ropponen, Matti Linnavuo, Raimo Sepponen
+Helsinki University of Technology
+Department of Electronics
+PL 3340, 02015 TKK Finland
+Emails:"

+5b6c603fba0a66fb3c037632079bdca82ec3bf91,Alternating Co-Quantization for Cross-Modal Hashing,"Alternating Co-Quantization for Cross-modal Hashing
+Go Irie
+Hiroyuki Arai
+Yukinobu Taniguchi
+NTT Corporation
+{irie.go, arai.hiroyuki,"

+5b9d9f5a59c48bc8dd409a1bd5abf1d642463d65,An evolving spatio-temporal approach for gender and age group classification with Spiking Neural Networks,"Evolving Systems. manuscript No.
+(will be inserted by the editor)
+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"

+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
+Pennsylvania State University
+Patrick McDaniel
+Pennsylvania State University
+Rauf Izmailov
+Vencore Labs
+Nicolas Papernot,
+Ryan Sheatsley, Raquel Alvarez
+Pennsylvania State University
+Ananthram Swami
+Army Research Laboratory"

+5b6bdf478860b1e3f797858e71abd14f98684b61,Distributed neural computation for the visual perception of motion. (Calcul neuronal distribué pour la perception visuelle du mouvement),"Distributed neural computation for the visual
+perception of motion
+Mauricio Cerda
+To cite this version:
+Mauricio Cerda. Distributed neural computation for the visual perception of motion. Computer
+science. Universit´e Nancy II, 2011. English. <tel-00642818>
+HAL Id: tel-00642818
+https://tel.archives-ouvertes.fr/tel-00642818
+Submitted on 18 Nov 2011
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destin´ee au d´epˆot et `a la diffusion de documents
+scientifiques de niveau recherche, publi´es ou non,
+´emanant des ´etablissements d’enseignement et de
+recherche fran¸cais ou ´etrangers, des laboratoires"

+5b3725c8b5e058ec3a383b621aa9316b90738b2e,Gaussian Conditional Random Field Network for Semantic Segmentation,"MITSUBISHI ELECTRIC RESEARCH LABORATORIES
+http://www.merl.com
+Gaussian Conditional Random Field Network for Semantic
+Segmentation
+Vemulapalli, R.; Tuzel, C.O.; Liu, M.-Y.; Chellappa, R.
+TR2016-078
+June 2016"

+5b1b90a0a6d491b26f427824985d69d5d0693220,Human gender classification: a review,"IEEE SENSORS JOURNAL, VOL. X, NO. X, XXXXXXX 2015
+Human Gender Classification: A Review
+Yingxiao Wu, Member, IEEE, Yan Zhuang, Student Member, IEEE, Xi Long, Member, IEEE,
+Feng Lin, Member, IEEE, and Wenyao Xu, Member, IEEE"

+5bb24d1250df62a56cab1445f1d8c5c61269b785,Measuring the Temporal Behavior of Real-World Person Re-Identification,"Measuring the Temporal Behavior of Real-World
+Person Re-Identification
+Meng Zheng, Student Member, IEEE, Srikrishna Karanam, Member, IEEE,
+nd Richard J. Radke, Senior Member, IEEE"

+5bb14bba7510c590164007d7e3aa1bf88cb3faec,Learning to Match Appearances by Correlations in a Covariance Metric Space,"Learning to Match Appearances by Correlations
+in a Covariance Metric Space
+Sªawomir B¡k, Guillaume Charpiat, Etienne Corvée, François Brémond,
+Monique Thonnat
+INRIA Sophia Antipolis, STARS group
+004, route des Lucioles, BP93
+06902 Sophia Antipolis Cedex - France"

+5ba1db56bccc090ce5eceb13f46f2cd15ba3aa55,Interpretable Counting in Visual Question Answering,"Under review as a conference paper at ICLR 2018
+INTERPRETABLE COUNTING IN VISUAL QUESTION
+ANSWERING
+Anonymous authors
+Paper under double-blind review"

+5b818c73ce5681e523d6fe9ed8603c7afc0a9089,Improving Shape Retrieval by Spectral Matching and Meta Similarity,"Improving Shape retrieval by Spectral
+Matching and Meta Similarity
+Amir Egozi (BGU),
+Yosi Keller (BIU)
+nd Hugo Guterman (BGU)
+Department of Electrical and Computer Engineering,
+Ben-Gurion University of the Negev
+/ 21"

+5b1d78b160560db5f581e65289ce5e2f99eb9b1f,Twitter100k: A Real-World Dataset for Weakly Supervised Cross-Media Retrieval,"Twitter100k: A Real-world Dataset for Weakly
+Supervised Cross-Media Retrieval
+Yuting Hu, Liang Zheng, Yi Yang, and Yongfeng Huang"

+5b94093939ac42aba54ab41eb1725aeba1bd5c34,RGB-D Segmentation of Poultry Entrails,"Aalborg Universitet
+RGB-D Segmentation of Poultry Entrails
+Philipsen, Mark Philip; Jørgensen, Anders; Guerrero, Sergio Escalera; Moeslund, Thomas B.
+Published in:
+IX International Conference on Articulated Motion and Deformable Objects
+DOI (link to publication from Publisher):
+0.1007/978-3-319-41778-3_17
+Publication date:
+Document Version
+Accepted author manuscript, peer reviewed version
+Link to publication from Aalborg University
+Citation for published version (APA):
+Philipsen, M. P., Jørgensen, A., Guerrero, S. E., & Moeslund, T. B. (2016). RGB-D Segmentation of Poultry
+Entrails. In IX International Conference on Articulated Motion and Deformable Objects (pp. 168-174). Springer.
+(Lecture Notes in Computer Science, Vol. 9756). DOI: 10.1007/978-3-319-41778-3_17
+General rights
+Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners
+nd it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.
+? Users may download and print one copy of any publication from the public portal for the purpose of private study or research.
+? You may not further distribute the material or use it for any profit-making activity or commercial gain"

+5be3cc1650c918da1c38690812f74573e66b1d32,Relative Parts: Distinctive Parts for Learning Relative Attributes,"Relative Parts: Distinctive Parts for Learning Relative Attributes
+Ramachandruni N. Sandeep
+Yashaswi Verma
+C. V. Jawahar
+Center for Visual Information Technology, IIIT Hyderabad, India - 500032"

+5b6bed112e722c0629bcce778770d1b28e42fc96,Can Your Eyes Tell Me How You Think? A Gaze Directed Estimation of the Mental Activity,"FLOREA ET AL.:CANYOUREYESTELLMEHOWYOUTHINK?
+Can Your Eyes Tell Me How You Think? A
+Gaze Directed Estimation of the Mental
+Activity
+Laura Florea
+http://alpha.imag.pub.ro/common/staff/lflorea
+Corneliu Florea
+http://alpha.imag.pub.ro/common/staff/cflorea
+Ruxandra Vrânceanu
+Constantin Vertan
+http://alpha.imag.pub.ro/common/staff/vertan
+Image Processing and Analysis
+Laboratory, LAPI
+University “Politehnica” of Bucharest
+Bucharest, Romania"

+374c7a2898180723f3f3980cbcb31c8e8eb5d7af,Facial Expression Recognition in Videos using a Novel Multi-Class Support Vector Machines Variant,"FACIAL EXPRESSION RECOGNITION IN VIDEOS USING A NOVEL MULTI-CLASS
+SUPPORT VECTOR MACHINES VARIANT
+Irene Kotsiay, Nikolaos Nikolaidisy and Ioannis Pitasy
+yAristotle University of Thessaloniki
+Department of Informatics
+Box 451, 54124 Thessaloniki, Greece"

+37b207d2c4a82a57f80e96353f79ecd71320a854,Person Search with Natural Language Description,"Person Search with Natural Language Description
+Shuang Li1 Tong Xiao1 Hongsheng Li1∗ Bolei Zhou2 Dayu Yue3 Xiaogang Wang1 ∗
+The Chinese University of Hong Kong 2Massachuate Institute of Technology 3SenseTime Group Limited"

+37c42f0a0e2e97a74113e1a1e1a79b04e0c64244,Covariance Pooling For Facial Expression Recognition,"Covariance Pooling for Facial Expression Recognition
+Computer Vision Lab, ETH Zurich, Switzerland
+VISICS, KU Leuven, Belgium
+Dinesh Acharya†, Zhiwu Huang†, Danda Pani Paudel†, Luc Van Gool†‡
+{acharyad, zhiwu.huang, paudel,"

+372fb32569ced35eaf3740a29890bec2be1869fa,Mu rhythm suppression is associated with the classification of emotion in faces.,"Running head: MU RHYTHM MODULATION BY CLASSIFICATION OF EMOTION  1
+Mu rhythm suppression is associated with the classification of emotion in faces
+Matthew R. Moore1, Elizabeth A. Franz1
+Department of Psychology, University of Otago, Dunedin, New Zealand
+Corresponding authors:
+Matthew Moore & Liz Franz
+Phone:  +64 (3) 479 5269; Fax:  +64 (3) 479 8335
+Department of Psychology
+University of Otago
+PO Box 56
+Dunedin, New Zealand"

+376ea595a6ff5b876367654833de1e1778bacd1e,Bilingualism and ambiguous emotional cues 1,"Bilingualism and ambiguous emotional cues  1
+Examensarbete på avancerad nivå
+Independent degree project  second cycle
+Psychology
+Major subject
+Title
+Bilingualism and Children's Attention to Facial Expressions that Conflict with Lexical
+Content
+Amani Asad"

+37f2e03c7cbec9ffc35eac51578e7e8fdfee3d4e,Co-operative Pedestrians Group Tracking in Crowded Scenes Using an MST Approach,"WACV 2015 Submission #394. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
+Co-operative Pedestrians Group Tracking in Crowded Scenes using an MST
+Approach
+Anonymous WACV submission
+Paper ID 394"

+3748a828dabc6b5292b53cec6080cef33d78d3e3,On Clustering and Embedding Manifolds using a Low Rank Neighborhood Approach,"On Clustering and Embedding Manifolds using a
+Low Rank Neighborhood Approach
+Arun M. Saranathan, Student Member, IEEE, and Mario Parente, Member, IEEE"

+3795974e24296185d9b64454cde6f796ca235387,Finding your Lookalike: Measuring Face Similarity Rather than Face Identity,"Finding your Lookalike:
+Measuring Face Similarity Rather than Face Identity
+Amir Sadovnik, Wassim Gharbi, Thanh Vu
+Lafayette College
+Easton, PA
+Andrew Gallagher
+Google Research
+Mountain View, CA"

+37d6cde8be756b70d22262f1acc3442a0c6aa7ea,Kernel learning approaches for image classification,"Kernel Learning Approaches for
+Image Classification
+Dissertation
+zur Erlangung des akademischen Grades
+Doctor rerum naturalium (Dr.rer.nat)
+n der Naturwissenschaftlich-Technischen Fakult¨at I
+der Universit¨at des Saarlandes, Saarbr¨ucken
+vorgelegt von Dipl.-Inform.
+Peter Vincent Gehler
+0. Juni 2009"

+37a4eb74f9c9d6333864dbe1e0803d30c2e4db7c,An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-Identification,"An Evaluation of Deep CNN Baselines for
+Scene-Independent Person Re-Identification
+Paul Marchwica, Michael Jamieson, Parthipan Siva
+Senstar Corporation
+Waterloo, Canada
+{Paul.Marchwica, Mike.Jamieson,
+the art"

+37a95a78bee34bb26a64c7ec30f7bd0496e072f1,The Focus-Aspect-Polarity Model for Predicting Subjective Noun Attributes in Images,"The Focus-Aspect-Polarity Model
+for Predicting Subjective Noun Attributes in Images
+Tushar Karayil1
+DFKI, Germany
+Philipp Blandfort1
+DFKI and TUK, Germany
+J¨orn Hees
+DFKI, Germany
+Andreas Dengel
+DFKI, Germany"

+37278ffce3a0fe2c2bbf6232e805dd3f5267eba3,Can we still avoid automatic face detection?,"Can we still avoid automatic face detection?
+Michael J. Wilber1,2
+Vitaly Shmatikov1,2
+Serge Belongie1,2
+Department of Computer Science, Cornell University 2 Cornell Tech"

+377a1be5113f38297716c4bb951ebef7a93f949a,Facial emotion recognition with anisotropic inhibited Gabor energy histograms,"Dear Faculty, IGERT Fellows, IGERT Associates and Students,
+You are cordially invited to attend a Seminar presented by Albert Cruz. Please
+plan to attend.
+Albert Cruz
+IGERT Fellow
+Electrical Engineering
+Date: Friday, October 11, 2013
+Location: Bourns A265
+Time: 11:00am
+Facial  emotion  recognition  with  anisotropic
+inhibited gabor energy histograms"

+37992120053b50b2f92eaa1949273bf828a54b50,Face Recognition Techniques - An evaluation Study,"Int. J. Advanced Networking and Applications
+Volume: 6 Issue: 4 Pages: 2393-2397       (2015) ISSN: 0975-0290
+Face Recognition Techniques - An evaluation
+Department of Management Information System, Applied Science University, 166-11391, Jordan
+Study
+Dr.Asmahan M Altaher
+Email:
+Keywords"

+3765df816dc5a061bc261e190acc8bdd9d47bec0,Presentation and validation of the Radboud Faces Database,"This article was downloaded by: [Radboud University Nijmegen]
+On: 24 November 2010
+Access details: Access Details: [subscription number 907172236]
+Publisher Psychology Press
+Informa Ltd Registered in England and Wales Registered Number: 1072954 Registered office: Mortimer House, 37-
+1 Mortimer Street, London W1T 3JH, UK
+Cognition & Emotion
+Publication details, including instructions for authors and subscription information:
+http://www.informaworld.com/smpp/title~content=t713682755
+Presentation and validation of the Radboud Faces Database
+Oliver Langnera; Ron Dotscha; Gijsbert Bijlstraa; Daniel H. J. Wigboldusa; Skyler T. Hawkb; Ad van
+Knippenberga
+Radboud University Nijmegen, Nijmegen, The Netherlands b University of Amsterdam, Amsterdam,
+The Netherlands
+Online publication date: 22 November 2010
+To cite this Article Langner, Oliver , Dotsch, Ron , Bijlstra, Gijsbert , Wigboldus, Daniel H. J. , Hawk, Skyler T. and van
+Knippenberg, Ad(2010) 'Presentation and validation of the Radboud Faces Database', Cognition & Emotion, 24: 8, 1377 —
+To link to this Article: DOI: 10.1080/02699930903485076
+URL: http://dx.doi.org/10.1080/02699930903485076
+PLEASE SCROLL DOWN FOR ARTICLE"

+370e0d9b89518a6b317a9f54f18d5398895a7046,Cross-pollination of normalisation techniques from speaker to face authentication using Gaussian mixture models,"IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, VOL. X, NO. X, XXXXXXX 20XX
+Cross-pollination of normalisation techniques
+from speaker to face authentication
+using Gaussian mixture models
+Roy Wallace, Member, IEEE, Mitchell McLaren, Member, IEEE, Christopher McCool, Member, IEEE,
+nd S´ebastien Marcel, Member, IEEE"

+372bc106c61e7eb004835e85bbfee997409f176a,Coupled Generative Adversarial Networks,"Coupled Generative Adversarial Networks
+Mitsubishi Electric Research Labs (MERL),
+Mitsubishi Electric Research Labs (MERL),
+Ming-Yu Liu
+Oncel Tuzel"

+37838a832838ff3211b358bc51ba5105b9d82e89,The Complete Gabor-Fisher Classifier for Robust Face Recognition,"EURASIP JOURNAL ON ADVANCES IS SIGNAL PROCESSING
+The Complete Gabor-Fisher Classifier for Robust
+Face Recognition
+Vitomir ˇStruc and Nikola Paveˇsi´c"

+37381718559f767fc496cc34ceb98ff18bc7d3e1,Harnessing Synthesized Abstraction Images to Improve Facial Attribute Recognition,Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18)

+372bf2716c53e353be6c3f027493f1a40edb6640,MINE: Mutual Information Neural Estimation,"Mutual Information Neural Estimation
+Mohamed Ishmael Belghazi 1 Aristide Baratin 1 2 Sai Rajeswar 1 Sherjil Ozair 1 Yoshua Bengio 1 3 4
+Aaron Courville 1 3 R Devon Hjelm 1 4"

+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
+Hu Han, Member, IEEE and Anil K. Jain, Fellow, IEEE"

+375993fd5f94c7b02169ff0d71a74d1b84262dfc,Parallel Application Library for Object Recognition,"Parallel Application Library for Object Recognition
+Bor-Yiing Su
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2012-199
+http://www.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-199.html
+September 27, 2012"

+375435fb0da220a65ac9e82275a880e1b9f0a557,From Pixels to Response Maps: Discriminative Image Filtering for Face Alignment in the Wild,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
+From Pixels to Response Maps: Discriminative Image
+Filtering for Face Alignment in the Wild
+Akshay Asthana, Stefanos Zafeiriou, Georgios Tzimiropou-
+los, Shiyang Cheng and Maja Pantic"

+37a23e76674e606ce779131d2c93496e8a53bb2f,The discrete cosine transform (DCT) plus local normalization: a novel two-stage method for de-illumination in face recognition,"Optica Applicata, Vol. XLI, No. 4, 2011
+The discrete cosine transform (DCT)
+plus local normalization:
+novel two-stage method
+for de-illumination in face recognition
+MINGHUA ZHAO*, YINGHUI WANG, ZHENGHAO SHI, JIULONG ZHANG
+School of Computer Science and Engineering, Xi’an University of Technology, Xi’an710048, China
+*Corresponding author:
+To  deal  with  illumination  variations  in  face  recognition,  a  novel  two-stage  illumination
+normalization method is proposed in this paper. Firstly, a discrete cosine transform (DCT) is used
+on the original images in logarithm domain. DC coefficient is set based on the average pixel value
+of all the within-class training samples and some low frequency AC coefficients are set to zero to
+eliminate illumination variations in large areas. Secondly, local normalization method, which can
+minimize illumination variations in small areas, is used on the inverse DCT images. This makes
+the pixel values on the processed images be close to or equal to that of the normal illumination
+ondition. Experimental results, both on Yale B database and Extended Yale B database, show
+that the proposed method can eliminate effect of illumination variations effectively and improve
+performance  of  face  recognition  methods  significantly.  The  present  method  does  not  demand
+modeling step and can eliminate the effect of illumination variations before face recognition. In
+this way, it can be used as a preprocessing step for any existing face recognition method."

+3726b82007512a15a530fd1adad57af58a9abb62,Teaching Compositionality to CNNs,"Teaching Compositionality to CNNs∗
+Austin Stone
+Yi Liu
+Huayan Wang
+D. Scott Phoenix
+Michael Stark
+Dileep George
+Vicarious FPC, San Francisco, CA, USA
+{austin, huayan, michael, yi, scott,"

+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."

+37b0357d2db89bc4560d4201c3c2478988c87640,Face Recognition Based on Curvelet Transform and LS-SVM,"ISBN 978-952-5726-02-2 (Print), 978-952-5726-03-9 (CD-ROM)
+Proceedings  of  the  2009  International  Symposium  on  Information  Processing  (ISIP’09)
+Huangshan, P. R. China, August 21-23, 2009, pp. 140-143
+Face Recognition Based on Curvelet Transform
+nd LS-SVM
+School of Electronics, Jiangxi University of Finance and Economics, Nanchang, China
+Jianhong Xie
+long
+reduce
+singularities
+urves.  To"

+37347e4c1b35196761fc1620e451738f880f0392,Exemplar-based human action pose correction and tagging,"Exemplar-Based Human Action Pose Correction and Tagging
+Wei Shen
+Ke Deng
+Xiang Bai
+Huazhong Univ. of Sci.&Tech.
+Microsoft Corporation
+Huazhong Univ. of Sci.&Tech.
+Tommer Leyvand
+Microsoft Corporation
+Baining Guo
+Zhuowen Tu
+Microsoft Research Asia
+Microsoft Research Asia & UCLA"

+3752dc15fada54abc0af866273d03a28f4dc8975,A Variational Framework for Pedestrian Segmentation in Cluttered Scenes Using Bag of Optical Flows and Shape Priors,"A VARIATIONAL FRAMEWORK FOR PEDESTRIAN
+SEGMENTATION IN CLUTTERED SCENES USING
+BAG OF OPTICAL FLOWS AND SHAPE PRIORS
+Gagan Bansal
+A thesis submitted to The Johns Hopkins University in conformity with the requirements
+for the degree of Master of Science.
+Baltimore, Maryland
+January, 2009
+(cid:176) Gagan Bansal 2009
+All rights reserved"

+375e478acf62eede1cc69693c54d81aa718df9e7,DFT domain Feature Extraction using Edge-based Scale Normalization for Enhanced Face Recognition,"Journal of Advanced Computer Science and Technology, 1 (3) (2012) 134-166
+(cid:13)Science Publishing Corporation
+www.sciencepubco.com/index.php/JACST
+DFT domain Feature Extraction using
+Edge-based Scale Normalization for
+Enhanced Face Recognition
+K Manikantan1,∗, S Ramachandran2,†
+Department of Electronics and Communication Engineering,
+M S Ramaiah Institute of Technology, Bangalore, Karnataka, India 560054
+Department of Electronics and Communication Engineering,
+S J B Institute of Technology, Bangalore, Karnataka, India 560060"

+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."

+37c4541037b67e8f4c538b285efe80aa251a49b9,Tracking as a Whole: Multi-Target Tracking by Modeling Group Behavior With Sequential Detection,"Tracking as a Whole: Multi-Target Tracking
+y Modeling Group Behavior With
+Sequential Detection
+Yuan Yuan, Senior Member, IEEE, Yuwei Lu, and Qi Wang, Senior Member, IEEE"

+376b73334bd9aebed1fbb69c4ed3848ec0826b6c,Online non-rigid structure-from-motion based on a keyframe representation of history,"Online Non-rigid Structure-from-motion based on a
+keyframe representation of history
+Simon Donn´e, Ljubomir Jovanov, Bart Goossens, Wilfried Philips, Aleksandra Piˇzurica
+Department of Telecommunications and Information Processing (TELIN)
+{Simon.Donne, Ljubomir.Jovanov, Bart.Goossens, Wilfried.Philips,
+Ghent University
+Ghent, Belgium"

+370ed90971eca7ad84c67d8804f97e02ff6fd5b4,"The Socio-Moral Image Database (SMID): A novel stimulus set for the study of social, moral and affective processes","RESEARCH ARTICLE
+The Socio-Moral Image Database (SMID): A
+novel stimulus set for the study of social,
+moral and affective processes
+Damien L. Crone1*, Stefan Bode1, Carsten Murawski2, Simon M. Laham1
+Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia,
+Department of Finance, University of Melbourne, Melbourne, Australia"

+370277791a0708b7c93deb21da172e025b558643,"Fusing LIDAR, camera and semantic information: A context-based approach for pedestrian detection","Fusing LIDAR, camera and semantic information:
+context-based approach for pedestrian detection
+Cristiano Premebida and Urbano Nunes
+The final version is available at: http://ijr.sagepub.com/content/32/3.toc
+This is a pre-print version."

+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"

+08aedeb74dda306a14c699ffcef4f434a60f34e8,3 D Spatial Layout and Geometric Constraints for Scene Understanding by Varsha Chandrashekhar,(cid:13) 2011 Varsha Chandrashekhar Hedau

+08d2f655361335bdd6c1c901642981e650dff5ec,Automatic Cast Listing in Feature-Length Films with Anisotropic Manifold Space,"This is the published version:
+Arandjelovic,	Ognjen	and	Cipolla,	R.	2006,	Automatic	cast	listing	in	feature‐length	films	with
+Anisotropic	Manifold	Space,	in	CVPR	2006	:	Proceedings	of	the	Computer	Vision	and	Pattern
+Recognition	Conference	2006,	IEEE,	Piscataway,	New	Jersey,	pp.	1513‐1520.
+http://hdl.handle.net/10536/DRO/DU:30058435
+Reproduced	with	the	kind	permission	of	the	copyright	owner.
+Copyright	:	2006,	IEEE
+Available from Deakin Research Online:"

+085fce160b0fa279597bf23b518c56c735d9e7ff,Joint detection and recognition of human actions in wireless surveillance camera networks,"Joint Detection and Recognition of Human Actions in Wireless
+Surveillance Camera Networks
+Nikhil Naikal1, Pedram Lajevardi2 and Shankar. S. Sastry1"

+08fbe3187f31b828a38811cc8dc7ca17933b91e9,Statistical Computations on Grassmann and Stiefel Manifolds for Image and Video-Based Recognition,"MITSUBISHI ELECTRIC RESEARCH LABORATORIES
+http://www.merl.com
+Statistical Computations on Grassmann and
+Stiefel Manifolds for Image and Video-Based
+Recognition
+Turaga, P.; Veeraraghavan, A.; Srivastava, A.; Chellappa, R.
+TR2011-084 April 2011"

+08ae100805d7406bf56226e9c3c218d3f9774d19,Predicting the Sixteen Personality Factors (16PF) of an individual by analyzing facial features,"Gavrilescu and Vizireanu EURASIP Journal on Image and Video Processing  (2017) 2017:59
+DOI 10.1186/s13640-017-0211-4
+EURASIP Journal on Image
+nd Video Processing
+R ES EAR CH
+Predicting the Sixteen Personality Factors
+(16PF) of an individual by analyzing facial
+features
+Mihai Gavrilescu* and Nicolae Vizireanu
+Open Access"

+08c6943a17f267ef27316cff9248b3036a7059f3,We are not contortionists: Coupled adaptive learning for head and body orientation estimation in surveillance video,"We are not Contortionists: Coupled Adaptive Learning
+for Head and Body Orientation Estimation in Surveillance Video
+Cheng Chen
+Jean-Marc Odobez
+Idiap Research Institute – CH-1920, Martigny, Switzerland
+(cid:3)"

+08c18b2f57c8e6a3bfe462e599a6e1ce03005876,A Least-Squares Framework for Component Analysis,"A Least-Squares Framework
+for Component Analysis
+Fernando De la Torre Member, IEEE,"

+08ff81f3f00f8f68b8abd910248b25a126a4dfa4,Symmetric Subspace Learning for Image Analysis,"Papachristou, K., Tefas, A., & Pitas, I. (2014). Symmetric Subspace Learning
+5697. DOI: 10.1109/TIP.2014.2367321
+Peer reviewed version
+Link to published version (if available):
+0.1109/TIP.2014.2367321
+Link to publication record in Explore Bristol Research
+PDF-document
+This is the author accepted manuscript (AAM). The final published version (version of record) is available online
+via Institute of Electrical and Electronic Engineers at http://dx.doi.org/10.1109/TIP.2014.2367321. Please refer to
+ny applicable terms of use of the publisher.
+University of Bristol - Explore Bristol Research
+General rights
+This document is made available in accordance with publisher policies. Please cite only the published
+version using the reference above. Full terms of use are available:
+http://www.bristol.ac.uk/pure/about/ebr-terms"

+08d625158727bd97ba6fc58992158ee55a53011c,HCLAE: High Capacity Locally Aggregating Encodings for Approximate Nearest Neighbor Search,"HCLAE: High Capacity Locally Aggregating Encodings for Approximate Nearest
+Neighbor Search
+{artheru, yz sjr, Shanghai Jiaotong University
+Liu Shicong, Shao Junru, Lu Hongtao"

+08f46d6a91e513edd57a0ef15d5367b5d0545c1b,"How do targets, nontargets, and scene context influence real-world object detection?","Atten Percept Psychophys
+DOI 10.3758/s13414-017-1359-9
+How do targets, nontargets, and scene context influence
+real-world object detection?
+Harish Katti 1
+& Marius V. Peelen 2 & S. P. Arun 1
+# The Psychonomic Society, Inc. 2017"

+0888b6904ef12bc7a3c59fa59c4051d5002de80f,Learning with Shared Information for Image and Video Analysis,"DEPARTMENT OF INFORMATION ENGINEERING AND COMPUTER SCIENCE
+ICT International Doctoral School
+LEARNING WITH SHARED INFORMATION FOR IMAGE
+AND VIDEO ANALYSIS
+Gaowen Liu
+Advisor
+Prof. Nicu Sebe
+Universit`a degli Studi di Trento"

+0834dff6e1d37ecb36137e019f8e2c933d5e74f6,Building Part-Based Object Detectors via 3D Geometry,"BUILDING PART-BASED OBJECT DETECTORS VIA 3D GEOMETRY
+Experimental Results
+Qualitative Results
+Input Image
+DPM Detection
+Test Set: NYU v2 RGB Images
+gDPM Detection  Predicted Geometry
+Bed gDPM Model 3
+Sofa gDPM Model 3
+Table gDPM Model 3
+Discriminative Part-based Models
+Supervised Parts
+Unsupervised Parts
+Key-point/part annotation, e.g.,
+Heuristic initialization, e.g., gradient
+natomical.
+magnitudes.
+. Overview
+. Overview
+As input to the system, at training, we use RGB images"

+0816cbac9ea8f4425d9b57fd46174cb35cd5d7cc,People tracking in RGB-D data with on-line boosted target models,"People Tracking in RGB-D Data
+With On-line Boosted Target Models
+Matthias Luber
+Luciano Spinello
+Kai O. Arras"

+0856622ce2fcc4e39fd396427abae90cddf78fd0,Abnormal activation of the social brain during face perception in autism.,"Abnormal Activation of the Social Brain During
+Face Perception in Autism
+Nouchine Hadjikhani,1,2* Robert M. Joseph,3 Josh Snyder,1
+nd Helen Tager-Flusberg3
+Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital,
+Division of Health Sciences and Technology, Harvard-Massachusetts Institute of Technology,
+Harvard Medical School, Charlestown, Massachusetts
+Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston,
+Cambridge, Massachusetts
+Massachusetts"

+083a2bc86e0984968b06593ba06654277b252f00,Neural evidence for the contribution of holistic processing but not attention allocation to the other-race effect on face memory.,"Cognitive, Affective, & Behavioral Neuroscience (2018) 18:1015–1033
+https://doi.org/10.3758/s13415-018-0619-z
+Neural evidence for the contribution of holistic processing but not
+ttention allocation to the other-race effect on face memory
+Grit Herzmann 1 & Greta Minor 1 & Tim Curran 2
+Published online: 25 June 2018
+# Psychonomic Society, Inc. 2018"

+085ca7f8935808986ae1c6afbbb62f6804049f26,Monocular 3D human pose estimation by classification,"Universit¨at Augsburg
+Monocular 3D Human Pose Estimation
+y Classification
+T. Greif, D. Sengupta, R. Lienhart
+Report 2011-09
+M¨arz 2011
+Institut f¨ur Informatik
+D-86135 Augsburg"

+0875af310ab8c850b3232b3f6b84535ffff84e5d,A Novel Technique to Detect Faces in a Group Photo,"International Journal of Computer Applications (0975 – 8887)
+Volume 54– No.1, September 2012
+A Novel Technique to Detect Faces in a Group Photo
+Saravanan Chandran
+Assistant Professor, National Institute of Technology, Durgapur, West Bengal, India."

+081093b0b3195e3f6bfa283b49fee26b606d4f67,Object Co-detection,"Object Co-detection
+Sid Yingze Bao, Yu Xiang, Silvio Savarese
+University of Michigan at Ann Arbor, USA
+{yingze, yuxiang,"

+08bbb59036c4b85a2418f9702ccd37929c5dd154,Understanding and Predicting the Memorability of Natural Scene Images,"Understanding and Predicting the Memorability of
+Natural Scene Images
+Jiaxin Lu, Mai Xu, Senior Member, IEEE, Ren Yang and Zulin Wang"

+08bdb84d5c66265b3b6d33e8f95c4cc27caf33ad,Detecting Visual Relationships Using Box Attention,"Detecting Visual Relationships Using Box Attention
+Alexander Kolesnikov∗
+Google AI
+Christoph H. Lampert
+IST Austria
+Vittorio Ferrari
+Google AI"

+084bd219dd239dc4c9a02621a5333d3bc1446566,DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking,"DeepTrack: Learning Discriminative Feature
+Representations Online for Robust Visual Tracking
+Hanxi Li, Yi Li, Fatih Porikli"

+0861f86fb65aa915fbfbe918b28aabf31ffba364,An Efficient Facial Annotation with Machine Learning Approach,"International Journal of Computer Trends and Technology (IJCTT) – volume 22 Number 3–April 2015
+An Efficient Facial Annotation with Machine Learning Approach
+A.Anusha,2R.Srinivas
+Final M.Tech Student, 2Associate Professor
+,2Dept of CSE ,Aditya Institute of Technology And Management, Tekkali, Srikakulam , Andhra Pradesh"

+082a8642455b9a5cfb27c07cf9969106f8a7bf3c,Face recognition is similarly affected by viewpoint in school-aged children and adults,"Face recognition is similarly affected by
+viewpoint in school-aged children and
+dults
+Marisa Nordt and Sarah Weigelt
+Department of Developmental Neuropsychology, Institute of Psychology, Ruhr-Universität Bochum,
+Bochum, Germany"

+08b76e6923eea74ab0ed149811b3144fa21c7c73,Scalable Laplacian K-modes,"Scalable Laplacian K-modes
+Imtiaz Masud Ziko ∗
+ÉTS Montreal
+Eric Granger
+ÉTS Montreal
+Ismail Ben Ayed
+ÉTS Montreal"

+08809165154c9c557d368cddfa3ae66ccaceaed9,Taming VAEs,"Taming VAEs
+Danilo J. Rezende ∗
+Fabio Viola ∗
+{danilor,
+DeepMind, London, UK"

+080c204edff49bf85b335d3d416c5e734a861151,CLAD: A Complex and Long Activities Dataset with Rich Crowdsourced Annotations,"CLAD: A Complex and Long Activities
+Dataset with Rich Crowdsourced
+Annotations
+Jawad Tayyub1, Majd Hawasly2∗, David C. Hogg1 and Anthony G. Cohn1
+Journal Title
+XX(X):1–6
+(cid:13)The Author(s) 2016
+Reprints and permission:
+sagepub.co.uk/journalsPermissions.nav
+DOI: 10.1177/ToBeAssigned
+www.sagepub.com/"

+08f4832507259ded9700de81f5fd462caf0d5be8,Geometric Approach for Human Emotion Recognition using Facial Expression,"International Journal of Computer Applications (0975 – 8887)
+Volume 118 – No.14, May 2015
+Geometric Approach for Human Emotion
+Recognition using Facial Expression
+S. S. Bavkar
+Assistant Professor
+VPCOE Baramati
+J. S. Rangole
+Assistant Professor
+VPCOE Baramati
+V. U. Deshmukh
+Assistant Professor
+VPCOE Baramati"

+081d6ac51bbb7df142e3db6649fb5d663e90d569,Generalized zero-shot learning for action recognition with web-scale video data,"Noname manuscript No.
+(will be inserted by the editor)
+Generalized Zero-Shot Learning for Action
+Recognition with Web-Scale Video Data
+Kun Liu · Wu Liu · Huadong Ma ·
+Wenbing Huang · Xiongxiong Dong
+Received: date / Accepted: date"

+082d339e29b1b1a9a800a1d72b401f69b6a157c5,Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval,"Webly Supervised Joint Embedding for Cross-Modal
+Image-Text Retrieval
+Niluthpol Chowdhury Mithun
+University of California, Riverside, CA
+Evangelos E. Papalexakis
+University of California, Riverside, CA
+Rameswar Panda
+University of California, Riverside, CA
+Amit K. Roy-Chowdhury
+University of California, Riverside, CA"

+08d40ee6e1c0060d3b706b6b627e03d4b123377a,Towards Weakly-Supervised Action Localization,"Human Action Localization
+with Sparse Spatial Supervision
+Philippe Weinzaepfel, Xavier Martin, and Cordelia Schmid, Fellow, IEEE"

+08030f9d34cc96384f672d9f9f296914d594335b,Multiple Object Tracking: A Literature Review,"Multiple Object Tracking: A Literature Review
+Wenhan Luo, Junliang Xing, Anton Milan, Xiaoqin Zhang, Wei Liu, Xiaowei Zhao and Tae-Kyun Kim"

+085ba9f82e15603f1fe2a29dfa0182d46465a591,Face Recognition In Presence Of Occlusion Using Machine Learning Classifier,"International Journal of Science, Engineering and Technology Research (IJSETR), Volume 3, Issue 4, April 2014
+Face Recognition In Presence Of Occlusion
+Using Machine Learning Classifier
+Vandana P, Manjunath C N
+chieve"

+088aabe3da627432fdccf5077969e3f6402f0a80,Classifier-to-generator Attack: Estimation,"Under review as a conference paper at ICLR 2018
+CLASSIFIER-TO-GENERATOR ATTACK: ESTIMATION
+OF TRAINING DATA DISTRIBUTION FROM CLASSIFIER
+Anonymous authors
+Paper under double-blind review"

+084f1a6c62a3464b1a9b745fee40af2895920301,Capitalize on dimensionality increasing techniques for improving face recognition grand challenge performance,"Capitalize on Dimensionality Increasing
+Techniques for Improving Face Recognition
+Grand Challenge Performance
+Chengjun Liu"

+08903bf161a1e8dec29250a752ce9e2a508a711c,Joint Dimensionality Reduction and Metric Learning: A Geometric Take,"Joint Dimensionality Reduction and Metric Learning: A Geometric Take
+Mehrtash Harandi 1 2 Mathieu Salzmann 3 Richard Hartley 2 1"

+08847df8ea5b22c6a2d6d75352ef6270f53611de,Using k-Poselets for Detecting People and Localizing Their Keypoints,"Using k-poselets for detecting people and localizing their keypoints
+Georgia Gkioxari∗, Bharath Hariharan∗, Ross Girshick and Jitendra Malik
+University of California, Berkeley - Berkeley, CA 94720"

+08e24f9df3d55364290d626b23f3d42b4772efb6,Enhancing facial expression classification by information fusion,"ENHANCING FACIAL EXPRESSION CLASSIFICATION BY INFORMATION
+FUSION
+I. Buciu1, Z. Hammal 2, A. Caplier2, N. Nikolaidis 1, and I. Pitas 1
+AUTH/Department of Informatics/ Aristotle University of Thessaloniki
+phone: + 30(2310)99.6361, fax: + 30(2310)99.8453, email:
+GR-54124, Thessaloniki, Box 451, Greece
+Laboratoire des Images et des Signaux / Institut National Polytechnique de Grenoble
+phone: + 33(0476)574363, fax: + 33(0476)57 47 90, email:
+web: http://www.aiia.csd.auth.gr
+8031 Grenoble, France
+web: http://www.lis.inpg.fr"

+08ff22f76a567fcbc1afec6bfbf957a560cfadc7,Exploring Person Context and Local Scene Context for Object Detection,"Exploring Person Context and Local Scene Context for Object Detection
+Saurabh Gupta∗
+UC Berkeley
+Bharath Hariharan∗
+Facebook AI Research
+Jitendra Malik
+UC Berkeley"

+08b0664fd37cd434201a1b37c20c0919833a6ff1,Online Multi-Object Tracking with Historical Appearance Matching and Scene Adaptive Detection Filtering,"Online Multi-Object Tracking with Historical Appearance Matching and
+Scene Adaptive Detection Filtering
+Young-chul Yoon Abhijeet Boragule Young-min Song Kwangjin Yoon Moongu Jeon
+Gwangju Institute of Science and Technology
+23 Cheomdangwagi-ro, Buk-gu, Gwangju, 61005, South Korea
+{zerometal9268, abhijeet, sym, yoon28,
+(cid:11)(cid:36)(cid:57)(cid:54)(cid:54)(cid:3)(cid:21)(cid:19)(cid:20)(cid:27)(cid:12)
+(cid:20)(cid:17)(cid:3)(cid:44)(cid:81)(cid:87)(cid:85)(cid:82)(cid:71)(cid:88)(cid:70)(cid:87)(cid:76)(cid:82)(cid:81)(cid:3)(cid:11)(cid:87)(cid:72)(cid:80)(cid:83)(cid:82)(cid:85)(cid:68)(cid:79)(cid:3)(cid:72)(cid:85)(cid:85)(cid:82)(cid:85)(cid:86)(cid:3)(cid:71)(cid:88)(cid:85)(cid:76)(cid:81)(cid:74)(cid:3)(cid:87)(cid:85)(cid:68)(cid:70)(cid:78)(cid:76)(cid:81)(cid:74)(cid:12)"

+08ca2a2a543ee74e2bd6585e0a059b30aae65d30,Semantic Video Segmentation with Using Ensemble of Particular Classifiers and a Deep Neural Network for Systems of Detecting Abnormal Situations,"IT in Industry, vol. 6, 2018                                                                                                                         Published online 09-Feb-2018
+Semantic Video Segmentation with Using Ensemble
+of Particular Classifiers and a Deep Neural Network
+for Systems of Detecting Abnormal Situations
+O. Amosov, Y. Ivanov, S. Zhiganov
+Department of Industrial Electronics
+Komsomolsk-on-Amur State Technical University
+Komsomolsk-on-Amur, Russia"

+0874a262c2ec7082658cbfc55892ec6e5ca6a374,CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video,"CATDET: CASCADED TRACKED DETECTOR FOR EFFICIENT OBJECT
+DETECTION FROM VIDEO
+Huizi Mao 1 Taeyoung Kong 1 William J. Dally 1 2"

+0857281a3b6a5faba1405e2c11f4e17191d3824d,Face recognition via edge-based Gabor feature representation for plastic surgery-altered images,"Chude-Olisah et al. EURASIP Journal on Advances in Signal Processing 2014, 2014:102
+http://asp.eurasipjournals.com/content/2014/1/102
+R ES EAR CH
+Face recognition via edge-based Gabor feature
+representation for plastic surgery-altered images
+Chollette C Chude-Olisah1*, Ghazali Sulong1, Uche A K Chude-Okonkwo2 and Siti Z M Hashim1
+Open Access"

+08b70ab782141a2d7003226a0f438a6aea0a0d46,Parametrizing Fully Convolutional Nets,"Under review as a conference paper at ICLR 2019
+PARAMETRIZING FULLY CONVOLUTIONAL NETS
+WITH A SINGLE HIGH-ORDER TENSOR
+Anonymous authors
+Paper under double-blind review"

+081456e22734a2cdef442345f80182e84d1c6124,Approaches for Multi-Class Discriminant Analysis for Ranking Principal Components,"Approaches for Multi-Class Discriminant Analysis
+for Ranking Principal Components
+Tiene Andre Filisbino
+Laborat´orio Nacional
+Gilson Antonio Giraldi
+Laborat´orio Nacional
+Carlos Eduardo Thomaz
+Departamento de Engenharia El´etrica
+de Computac¸˜ao Cient´ıfica - LNCC
+de Computac¸˜ao Cient´ıfica - LNCC
+Centro Universit´ario da FEI
+Petr´opolis, RJ 25651-075
+Email:
+Petr´opolis, RJ 25651-075
+Email:
+S˜ao Bernardo do Campo, SP 09850-901
+Email:"

+08f00e5adaba03628144dbc97daefa8ceb6e5322,Machine Vision based Fruit Classification and Grading-A Review,"International Journal of Computer Applications (0975 – 8887)
+Volume 170 – No.9, July 2017
+Machine Vision based Fruit Classification and
+Grading - A Review
+Sapan Naik
+Babu Madhav Institute of Information Technology
+Uka Tarsadia University,
+Bardoli, Surat, Gujarat, India."

+08ff3e9f5ad47e59592ad993348b817003b9c0e4,A Sequential Classifier for Hand Detection in the Framework of Egocentric Vision,"A Sequential Classifier for Hand Detection in the Framework of Egocentric Vision
+Alejandro Betancourt1,2
+Miriam M. L´opez1
+Carlo S. Regazzoni1
+Matthias Rauterberg2
+Department of Naval, Electric, Electronic and Telecommunications Engineering - University of Genoa, Italy
+Designed Intelligence Group, Department of Industrial Design - Eindhoven University of Technology, The Netherlands"

+08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7,Understanding Kin Relationships in a Photo,"Understanding Kin Relationships in a Photo
+Siyu Xia, Ming Shao, Student Member, IEEE, Jiebo Luo, Fellow, IEEE, and Yun Fu, Senior Member, IEEE"

+6d88fb85fe5c61bd65e0a373cd39fac81a19596a,DC-Image for Real Time Compressed Video Matching,"DC-Image for Real Time Compressed
+Video Matching
+Saddam Bekhet, Amr Ahmed and Andrew Hunter"

+6d96bf377c96e1dd9b43e9f12e0ee2a66543edbe,Viewpoint invariant 3D landmark model inference from monocular 2D images using higher-order priors,"011 IEEE International Conference on Computer Vision
+978-1-4577-1102-2/11/$26.00 c(cid:13)2011 IEEE"

+6dd052df6b0e89d394192f7f2af4a3e3b8f89875,A literature survey on Facial Expression Recognition using Global Features,"International Journal of Engineering and Advanced Technology (IJEAT)
+ISSN: 2249 – 8958, Volume-2, Issue-4, April 2013
+A literature survey on Facial Expression
+Recognition using Global Features
+Vaibhavkumar J. Mistry, Mahesh M. Goyani"

+6d84d92d9ed6c226f0cc6401bc425a23432c9f96,Autism spectrum disorders: clinical and research frontiers.,"Downloaded from
+dc.bmj.com
+on 22 May 2008
+Autism spectrum disorders: clinical and research
+frontiers
+E B Caronna, J M Milunsky and H Tager-Flusberg
+Arch. Dis. Child.
+doi:10.1136/adc.2006.115337
+2008;93;518-523; originally published online 27 Feb 2008;
+Updated information and services can be found at:
+http://adc.bmj.com/cgi/content/full/93/6/518
+These include:
+References
+This article cites 70 articles, 25 of which can be accessed free at:
+http://adc.bmj.com/cgi/content/full/93/6/518#BIBL
+Rapid responses
+You can respond to this article at:
+http://adc.bmj.com/cgi/eletter-submit/93/6/518
+Email alerting
+service"

+6dd5dbb6735846b214be72983e323726ef77c7a9,A Survey on Newer Prospective Biometric Authentication Modalities,"Josai Mathematical Monographs
+vol. 7 (2014), pp. 25-40
+A Survey on Newer Prospective
+Biometric Authentication Modalities
+Narishige Abe, Takashi Shinzaki"

+6d10beb027fd7213dd4bccf2427e223662e20b7d,User Adaptive and Context-Aware Smart Home Using Pervasive and Semantic Technologies,"Publishing CorporationJournal of Electrical and Computer EngineeringVolume 2016, Article ID 4789803, 20 pageshttp://dx.doi.org/10.1155/2016/4789803"

+6d500b0c342c1cf23efff049ef121bcf5e606ea1,Real-Time Category-Based and General Obstacle Detection for Autonomous Driving,"Real-time category-based and general obstacle detection for autonomous driving
+Noa Garnett
+Uri Verner
+Ariel Ayash
+Shai Silberstein
+Vlad Goldner
+Shaul Oron
+Rafi Cohen
+Ethan Fetaya
+Kobi Horn
+Dan Levi
+Advanced Technical Center Israel, General Motors R&D
+Hamada 7, Herzlyia, Israel"

+6dd007b6e518a3aa96111028c4664f2647e5e81a,3D Face Synthesis Driven by Personality Impression,"D Face Synthesis Driven by Personality Impression
+Yining Lang1 Wei Liang1 Yujia Wang1 Lap-Fai Yu2
+Beijing Institute of Technology
+University of Massachusetts Boston"

+6d6bb981bc8470de23e30890bd96a76ffd2b7ced,The Eyes Are the Windows to the Mind: Direct Eye Gaze Triggers the Ascription of Others' Minds.,"669124 PSPXXX10.1177/0146167216669124Personality and Social Psychology BulletinKhalid et al.
+research-article2016
+Article
+The Eyes Are the Windows to
+the Mind: Direct Eye Gaze Triggers
+the Ascription of Others’ Minds
+Saara Khalid1, Jason C. Deska1, and Kurt Hugenberg1
+Personality and Social
+Psychology Bulletin
+016, Vol. 42(12) 1666 –1677
+© 2016 by the Society for Personality
+nd Social Psychology, Inc
+Reprints and permissions:
+sagepub.com/journalsPermissions.nav
+DOI: 10.1177/0146167216669124
+pspb.sagepub.com"

+6d432962055a8c521e6b388d5a0a2140a0019a5e,Sensor network reconfiguration and big multimedia data fusion for situational awareness in smart environments,"Sensor network reconfiguration and big multimedia data fusion for situational
+wareness in smart environments
+Z. Akhtar, C. Drioli, M. Farinosi, G. Ferrin, G.L. Foresti, N. Martinel, C. Micheloni, C. Piciarelli, D.
+Salvati, L. Snidaro and M. Vernier
+AVIRES Lab - Department of Mathematics and Computer Science, Università degli Studi di Udine
+Via delle Scienze, 206, 33100 Udine - Italy
+last  years,  an
+INTRODUCTION
+increasing  number  of
+environments  have  been  enhanced  with  smart
+sensors and have become more and more smart and
+self-organizing  [1].  Situational  awareness  (SA)  in
+these  wide  areas  covers  a  huge  range  of  topics  and
+hallenges  [2].  As  matter  of  fact,  understanding
+ctivities
+for  situation  assessment  cannot  be
+chieved locally but  it requires to widen as much as
+possible  the  monitored  area.  Several  different  and
+new  problems must  be  investigated from the  use  of
+single  sensors  able  to  adapt  internal  or  external"

+6dddf1440617bf7acda40d4d75c7fb4bf9517dbb,"Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking","JOURNAL OF LATEX CLASS FILES, VOL. XX, NO. X, MM YY
+Beyond Counting: Comparisons of Density Maps for Crowd
+Analysis Tasks - Counting, Detection, and Tracking
+Di Kang, Zheng Ma, Member, IEEE, Antoni B. Chan Senior Member, IEEE,"

+6d902439b736a7546dd8872b307fb760087ca629,SIFT Meets CNN: A Decade Survey of Instance Retrieval,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+SIFT Meets CNN:
+A Decade Survey of Instance Retrieval
+Liang Zheng, Yi Yang, and Qi Tian, Fellow, IEEE"

+6d5b0f6e5258d370f9af8a2cebf035fe61905db1,Gazefinder as a clinical supplementary tool for discriminating between autism spectrum disorder and typical development in male adolescents and adults,"Fujioka et al. Molecular Autism  (2016) 7:19
+DOI 10.1186/s13229-016-0083-y
+Open Access
+R ES EAR CH
+Gazefinder as a clinical supplementary tool
+for discriminating between autism
+spectrum disorder and typical development
+in male adolescents and adults
+Toru Fujioka1,2,3, Keisuke Inohara1,4, Yuko Okamoto2,3, Yasuhiro Masuya1, Makoto Ishitobi1,5, Daisuke N. Saito2,3,6,
+Minyoung Jung2,3, Sumiyoshi Arai2,3, Yukiko Matsumura1, Takashi X. Fujisawa2,3, Kosuke Narita7, Katsuaki Suzuki3,8,9,
+Kenji J. Tsuchiya3,8,9, Norio Mori3,8,9, Taiichi Katayama3, Makoto Sato2,3,10,11, Toshio Munesue3,12,
+Hidehiko Okazawa2,3,6, Akemi Tomoda2,3, Yuji Wada1,2,3 and Hirotaka Kosaka1,2,3*"

+6d973fb5f682c491be94aa40a184a1707a8dc24a,Combining Multiple Image Segmentations by Maximizing Expert Agreement,"Combining Multiple Image Segmentations by
+Maximizing Expert Agreement
+Joni-Kristian Kamarainen, Lasse Lensu, and Tomi Kauppi
+Machine Vision and Pattern Recognition Laboratory
+Department of Information Technology
+Lappeenranta University of Technology
+P.O. Box 20, FI-53851 Lappeenranta, Finland
+http://www2.it.lut.fi/mvpr/"

+6d79999f8dc0cb9f86a87eaa2eb313a4eaeb2e5a,Instructions for use Title Bregman pooling : feature-space local pooling for imageclassification,"Title
+Bregman pooling : feature-space local pooling for image
+lassification
+Author(s)
+Najjar, Alameen; Ogawa, Takahiro; Haseyama, Miki
+Citation
+International Journal of Multimedia Information Retrieval
+Issue Date
+015-09-04
+Doc URL
+http://hdl.handle.net/2115/62753
+Right
+The final publication is available at link.springer.com
+rticle (author version)
+Additional
+Information
+Information BP.pdf
+Instructions for use
+Hokkaido University Collection of Scholarly and Academic Papers : HUSCAP"

+6da06fc70f32454f7841b153c582e65aed7047e9,Deep pipelined one-chip FPGA implementation of a real-time image-based human detection algorithm,"NAOSITE: Nagasaki University's Academic Output SITE
+Title
+Deep pipelined one-chip FPGA implementation of a real-time image-based
+human detection algorithm
+Author(s)
+Negi, Kazuhiro; Dohi, Keisuke; Shibata, Yuichiro; Oguri, Kiyoshi
+Citation
+011, Article number6132679; 2011
+Issue Date
+011-12
+Right
+http://hdl.handle.net/10069/29887
+© 2011 IEEE. Personal use of this material is permitted. Permission from
+IEEE must be obtained for all other uses, in any current or future media,
+including reprinting/republishing this material for advertising or
+promotional purposes, creating new collective works, for resale or
+redistribution to servers or lists, or reuse of any copyrighted component of
+this work in other works.
+This document is downloaded at: 2018-12-08T05:46:10Z
+http://naosite.lb.nagasaki-u.ac.jp"

+6dc17e91c0b02ff3b9e5c9283924279c28641db7,A Methodology for Extracting Standing Human Bodies from Single Images,"Invention Journal of Research Technology in Engineering & Management (IJRTEM)                                                  ISSN: 2455-3689
+www.ijrtem.com ǁ Volume 1 ǁ Issue 8 ǁ
+A Methodology for Extracting Standing Human Bodies from Single Images
+Dr. Y. Raghavender Rao1, N. Devadas Naik2
+Head ECE JNTUHCEJ Jagtityal
+Asst professor Sri Chaitanya engineering college"

+6d4b5444c45880517213a2fdcdb6f17064b3fa91,Harvesting Image Databases from The Web,"Journal of Information Engineering and Applications
+ISSN 2224-5782 (print) ISSN 2225-0506 (online)
+Vol 2, No.3, 2012
+www.iiste.org
+Harvesting Image Databases from The Web
+Snehal M. Gaikwad
+G.H.Raisoni College of Engg. & Mgmt.,Pune,India
+Snehal S. Pathare
+G.H.Raisoni College of Engg. & Mgmt.,Pune,India
+Trupti A. Jachak
+G.H.Raisoni College of Engg. & Mgmt.,Pune,India"

+6d8c9a1759e7204eacb4eeb06567ad0ef4229f93,"Face Alignment Robust to Pose, Expressions and Occlusions","Face Alignment Robust to Pose, Expressions and
+Occlusions
+Vishnu Naresh Boddeti†, Myung-Cheol Roh†, Jongju Shin, Takaharu Oguri, Takeo Kanade"

+6dd0597f8513dc100cd0bc1b493768cde45098a9,Learning to parse images of articulated bodies,"Learning to parse images of articulated bodies
+Deva Ramanan
+Toyota Technological Institute at Chicago
+Chicago, IL 60637"

+6db59b031406546682a773baed2caed529aaf37c,Inferring the semantics of direction signs in public places,"Inferring the Semantics of Direction Signs in Public Places
+J´erˆome Maye∗, Luciano Spinello∗†, Rudolph Triebel∗, and Roland Siegwart∗
+Autonomous Systems Lab, ETH Zurich, Switzerland
+email: {jerome.maye, rudolph.triebel,
+Social Robotics Lab, Department of Computer Science, University of Freiburg, Germany
+email:"

+6d2b633743178bd5aac1073b60d81ceb41933a4a,Carried Object Detection Based on an Ensemble of Contour Exemplars,"Carried Object Detection based on an Ensemble
+of Contour Exemplars
+Farnoosh Ghadiri1, Robert Bergevin1, Guillaume-Alexandre Bilodeau2
+LVSN-REPARTI, Universit(cid:19)e Laval
+LITIV lab., Polytechnique Montr(cid:19)eal"

+6dfa82f00ec6faee1db319c1e306ae779cfc1c36,"The Role of Methodology and Spatiotemporal Scale in Understanding Environmental Change in Peri-Urban Ouagadougou, Burkina Faso","Remote Sens. 2013, 5, 1465-1483; doi:10.3390/rs5031465
+OPEN ACCESS
+ISSN 2072-4292
+www.mdpi.com/journal/remotesensing
+Article
+The Role of Methodology and Spatiotemporal Scale in
+Understanding Environmental Change in Peri-Urban
+Ouagadougou, Burkina Faso
+Yonatan Kelder 1,*, Thomas Theis Nielsen 1 and Rasmus Fensholt 2
+Roskilde University, Universitetsvej 1, ENSPAC House 0.2, Roskilde 4000, Denmark;
+E-Mail:
+Copenhagen University, Institute for Geography and Geology, Øster Voldgade 10,
+Copenhagen K 1350, Denmark; E-Mail:
+*  Author to whom correspondence should be addressed; E-Mail:
+Tel.: +45-30-49-14-92.
+Received: 18 January 2013; in revised form: 24 February 2013 / Accepted: 15 March 2013 /
+Published: 19 March 2013"

+6d7ba173121edd5defadfde04f7c1e7bc72859c2,The study of autism as a distributed disorder.,"MENTAL RETARDATION AND DEVELOPMENTAL DISABILITIES
+RESEARCH REVIEWS 13: 85 – 95 (2007)
+THE STUDY OF AUTISM AS A
+DISTRIBUTED DISORDER
+Brain Development Imaging Laboratory, Department of Psychology, San Diego State University, San Diego, California
+Department of Cognitive Science, University of California, San Diego, California
+Ralph-Axel Mu¨ ller1,2*
+Past autism research has often been dedicated to tracing the
+auses of the disorder to a localized neurological abnormality, a single
+functional network, or a single cognitive-behavioral domain.
+In this
+review, I argue that autism is a ‘‘distributed disorder’’ on various levels of
+study (genetic, neuroanatomical, neurofunctional, behavioral). ‘‘Localizing’’
+models are therefore not promising. The large array of potential genetic
+risk factors suggests that multiple (or all) emerging functional brain net-
+works are affected during early development. This is supported by wide-
+spread growth abnormalities throughout the brain. Interactions during
+development between affected functional networks and atypical experi-
+ential effects (associated with atypical behavior) in children with autism
+further complicate the neurological bases of the disorder, resulting in"

+6dc3b8a5fdceaea4b32df8552cbb5a22ef83c197,Speech-Based Visual Question Answering,"Speech-Based Visual Question Answering
+Ted Zhang
+KU Leuven
+Dengxin Dai
+ETH Zurich
+Tinne Tuytelaars
+KU Leuven
+Marie-Francine Moens
+KU Leuven"

+6d6a106caef228b3eee1f5765740938a534db828,Density-based clustering: A ‘landscape view’ of multi-channel neural data for inference and dynamic complexity analysis,"RESEARCH ARTICLE
+Density-based clustering: A ‘landscape view’ of
+multi-channel neural data for inference and
+dynamic complexity analysis
+Gabriel Baglietto1,2*, Guido Gigante3,4, Paolo Del Giudice1,3
+INFN-Roma1, Italian National Institute for Nuclear Research (INFN), Rome, Italy, 2 IFLYSIB Instituto de
+Fı´sica de Lı´quidos y Sistemas Biolo´gicos (UNLP-CONICET), La Plata, Argentina, 3 Italian Institute of Health
+(ISS), Rome, Italy, 4 Mperience srl, Rome, Italy"

+6d618657fa5a584d805b562302fe1090957194ba,Human Facial Expression Recognition based on Principal Component Analysis and Artificial Neural Network,"Full Paper
+NNGT Int. J. of Artificial Intelligence , Vol. 1, July 2014
+Human Facial Expression Recognition based
+on Principal Component Analysis and
+Artificial Neural Network
+Laboratory of Automatic and Signals Annaba (LASA) , Department of electronics, Faculty of Engineering,
+Zermi.Narima, Ramdani.M, Saaidia.M
+Badji-Mokhtar University, P.O.Box 12, Annaba-23000, Algeria.
+E-Mail :"

+6d7dabc58f53c0233d6d593a8fee76d1c7f44033,Robust Observation Detection for Single Object Tracking: Deterministic and Probabilistic Patch-Based Approaches,"Sensors 2012, 12, 15638-15670; doi:10.3390/s121115638
+OPEN ACCESS
+sensors
+ISSN 1424-8220
+www.mdpi.com/journal/sensors
+Article
+Robust Observation Detection for Single Object Tracking:
+Deterministic and Probabilistic Patch-Based Approaches
+Mohd Asyraf Zulkifley 1,*, David Rawlinson 2 and Bill Moran 2
+Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built
+Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Malaysia
+Department of Electrical and Electronic Engineering, The University of Melbourne, VIC 3010,
+Australia; E-Mails: (D.R.); (B.M.)
+* Author to whom correspondence should be addressed; E-Mail:
+Tel.: +603-8921-6335.
+Received: 18 September 2012; in revised form: 5 November 2012 / Accepted: 5 November 2012 /
+Published: 12 November 2012
+the problems of blurring, moderate deformation,"

+6d66c98009018ac1512047e6bdfb525c35683b16,Face Recognition Based on Fitting a 3D Morphable Model,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 25, NO. 9, SEPTEMBER 2003
+Face Recognition Based on
+Fitting a 3D Morphable Model
+Volker Blanz and Thomas Vetter, Member, IEEE"

+0172867f4c712b33168d9da79c6d3859b198ed4c,Expression and illumination invariant preprocessing technique for Face Recognition,"Technique for Face Recognition
+Computer and System Engineering Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt
+A. Abbas, M. I. Khalil, S. Abdel-Hay, H. M. Fahmy
+Expression and Illumination Invariant Preprocessing"

+013e9e0f712d8caa89dd0881ab8dcf90d687ba50,Face Recognition using LBP and LVQ Classifier,"Face Recognition using LBP and LVQ Classifier
+Abdul Quyoom
+Department of Computer Science Engineering
+Central University of Rajasthan
+Ajmer, Rajasthan, India
+each  human"

+01b5d63b60bcc35aa8bead42ea52a517f879bfc9,Solving Uncalibrated Photometric Stereo Using Total Variation,"Noname manuscript No.
+(will be inserted by the editor)
+Solving Uncalibrated Photometric Stereo using Total
+Variation
+Yvain Qu´eau · Fran¸cois Lauze · Jean-Denis Durou
+the date of receipt and acceptance should be inserted later"

+0145dc4505041bf39efa70ea6d95cf392cfe7f19,Human action segmentation with hierarchical supervoxel consistency,"Human Action Segmentation with Hierarchical Supervoxel Consistency
+Jiasen Lu1, Ran Xu1 Jason J. Corso2
+Department of Computer Science and Engineering, SUNY at Buffalo. 2Department of EECS, University of Michigan.
+Detailed analysis of human action, such as classification, detection and lo-
+alization has received increasing attention from the community; datasets
+like J-HMDB [1] have made it plausible to conduct studies analyzing the
+impact that such deeper information has on the greater action understanding
+problem. However, detailed automatic segmentation of human action has
+omparatively been unexplored. In this paper, we introduce a hierarchical
+MRF model to automatically segment human action boundaries in videos
+“in-the-wild” (see Fig. 1).
+We first propose a human motion saliency representation which incor-
+porates two parts: foreground motion and human appearance information.
+For foreground motion estimation, we propose a new motion saliency fea-
+ture by using long-term trajectories to build a camera motion model, and
+then measure the motion saliency via the deviation from the camera model.
+For human appearance information, we use a DPM person detector trained
+on PASCAL VOC 2007 and construct a saliency map by averaging the nor-
+malized detection score of all the scale and all components.
+Then, to segment the human action, we start by applying hierarchical"

+01bef320b83ac4405b3fc5b1cff788c124109fb9,Translating Head Motion into Attention - Towards Processing of Student's Body-Language,"de Lausanne
+RLC D1 740, CH-1015
+Lausanne
+de Lausanne
+RLC D1 740, CH-1015
+Lausanne
+de Lausanne
+RLC D1 740, CH-1015
+Lausanne
+Translating Head Motion into Attention - Towards
+Processing of Student’s Body-Language
+Mirko Raca
+CHILI Laboratory
+Łukasz Kidzi´nski
+CHILI Laboratory
+Pierre Dillenbourg
+CHILI Laboratory
+École polytechnique fédérale
+École polytechnique fédérale
+École polytechnique fédérale"

+014844a9e6ae39a101fb79f103aa047699f88246,Interpretable Counting for Visual Question Answering,"Under review as a conference paper at ICLR 2018
+INTERPRETABLE COUNTING FOR VISUAL QUESTION
+ANSWERING
+Anonymous authors
+Paper under double-blind review"

+017229c2df23c542b30c59f4a5eeb747e3d34729,Efficient Object Recognition using Convolution Neural Networks Theorem,"International Journal of Computer Applications (0975 – 8887)
+Volume 161 – No 2, March 2017
+Efficient Object Recognition using Convolution Neural
+Networks Theorem
+Aarushi Thakral
+VIT University
+Vellore
+Tamil Nadu
+Shaurya Shekhar
+VIT University
+Vellore
+Tamil Nadu
+to  overcome"

+0183eff3a60f44bc6e4bcade37518f6470af3437,Human Identification Using Temporal Information Preserving Gait Template,"Human Identification Using Temporal
+Information Preserving Gait Template
+Chen Wang, Junping Zhang, IEEE Member, Liang Wang, IEEE Senior Member,
+Jian Pu, and Xiaoru Yuan, IEEE Member"

+01c9f0be6a300f385274b72a5463a650e51e300a,Support Vector Data Description based on PCA features for face detection,"SUPPORT VECTOR DATA DESCRIPTION BASED ON PCA FEATURES FOR FACE
+DETECTION
+Ver´onica Vilaplana and Ferran Marqu´es
+phone: + (34)934011066, fax: + (34)934016447, email:
+Jordi Girona, 1-3, 08034 Barcelona, SPAIN
+Image Processing Group, Universitat Polit`ecnica de Catalunya
+web: gps-tsc.upc.es/imatge"

+01c8d7a3460422412fba04e7ee14c4f6cdff9ad7,Rule Based System for Recognizing Emotions Using Multimodal Approach,"(IJACSA) International Journal of Advanced Computer Science and Applications,
+Vol. 4, No. 7, 2013
+Rule Based System for Recognizing Emotions Using
+Multimodal Approach
+Preeti Khanna
+Information System
+SBM, SVKM’s NMIMS
+Mumbai, India"

+01d785bb989850019001a418a16202fd7502ac14,Hierarchical object detection and tracking with an Implicit Shape Model,"Hierarchical object detection and tracking with an Implicit Shape
+Model
+K. Jüngling1, S. Becker1, and M. Arens1
+Object Recognition, Fraunhofer IOSB, Ettlingen, Germany"

+01f5689a4010ae14ca444c36bec81f12ce528912,"Extended Fast Search Clustering Algorithm: Widely Density Clusters, No Density Peaks","EXTENDED FAST SEARCH CLUSTERING
+ALGORITHM: WIDELY DENSITY
+CLUSTERS, NO DENSITY PEAKS
+Zhang WenKai1 and Li Jing2
+,2School of Computer Science and Technology, University of Science and
+Technology of China, Hefei, 230026, China"

+0163d847307fae508d8f40ad193ee542c1e051b4,Classemes and Other Classifier-Based Features for Efficient Object Categorization,"JOURNAL OF LATEX CLASS FILES, VOL. 6, NO. 1, JANUARY 2007
+Classemes and Other Classifier-based
+Features for Efficient Object Categorization
+- Supplementary material -
+Alessandro Bergamo, and Lorenzo Torresani, Member, IEEE
+LOW-LEVEL FEATURES
+We extract the SIFT [1] features for our descriptor
+ccording to the following pipeline. We first convert
+each image to gray-scale, then we normalize the con-
+trast by forcing the 0.01% of lightest and darkest pixels
+to be mapped to white and black respectively, and
+linearly rescaling the values in between. All images
+exceeding 786,432 pixels of resolution are downsized
+to this maximum value while keeping the aspect ratio.
+The 128-dimensional SIFT descriptors are computed
+from the interest points returned by a DoG detec-
+tor [2]. We finally compute a Bag-Of-Word histogram
+of these descriptors, using a K-means vocabulary of
+500 words.
+CLASSEMES"

+01c4cf9c7c08f0ad3f386d88725da564f3c54679,Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV),"Interpretability Beyond Feature Attribution:
+Quantitative Testing with Concept Activation Vectors (TCAV)
+Been Kim Martin Wattenberg Justin Gilmer Carrie Cai James Wexler
+Fernanda Viegas Rory Sayres"

+017ce398e1eb9f2eed82d0b22fb1c21d3bcf9637,Face Recognition with Harmonic De-lighting,"FACE RECOGNITION WITH HARMONIC DE-LIGHTING
+Laiyun Qing1,2, Shiguang Shan2, Wen Gao1,2
+ICT-ISVISION Joint R&D Laboratory for Face Recognition, CAS, Beijing, China, 100080
+Graduate School, CAS, Beijing, China, 100080
+Emails: {lyqing, sgshan, wgao}jdl.ac.cn"

+014e1186209e4f942f3b5ba29b6b039c8e99ad88,Social interactions: A first-person perspective,"Social Interactions: A First-Person
+Perspective
+Alireza Fathi, Jessica K. Hodgins, James M. Rehg
+CVPR 2012
+Bora Çelikkale"

+0135747b4d3c9a2d983f7d0d9f4c39e094825149,Embedded wavelet-based face recognition under variable position,"Embedded wavelet-based face recognition under variable
+position
+Pascal Cotreta, Stéphane Chevobbea and Mehdi Darouicha
+CEA, LIST, Laboratoire Adéquation Algorithme Architecture, Gif-sur-Yvette, F-91191 France"

+014e3d0fa5248e6f4634dc237e2398160294edce,What does 2D geometric information really tell us about 3D face shape?,"Int J Comput Vis manuscript No.
+(will be inserted by the editor)
+What does 2D geometric information really tell us about
+D face shape?
+Anil Bas1 · William A. P. Smith1
+Received: date / Accepted: date"

+01ababc0985143ad57320b0599fb2f581d79d3c2,Unobtrusive Low Cost Pupil Size Measurements using Web cameras,"Unobtrusive Low Cost Pupil Size Measurements using Web cameras
+Sergios Petridis, Theodoros Giannakopoulos and Costantine D. Spyropoulos
+National Center for Scientific Research ""Demokritos""
+Unobtrusive every day health monitoring can be of important use for the elderly population. In
+particular, pupil size may be a valuable source of information, since, apart from pathological
+ases, it can reveal the emotional state, the fatigue and the ageing. To allow for unobtrusive
+monitoring to gain acceptance, one should seek for ef‌f‌icient methods of monitoring using com-
+mon low-cost hardware. This paper describes a method for monitoring pupil sizes using a
+ommon web camera in real time. Our method works by first detecting the face and the eyes
+rea. Subsequently, optimal iris and sclera location and radius, modelled as ellipses, are found
+using ef‌f‌icient filtering. Finally, the pupil center and radius is estimated by optimal filtering
+within the area of the iris. Experimental result show both the ef‌f‌iciency and the effectiveness
+of our approach.
+Keywords: video analysis, eye tracking, pupil size estimation, physiological measurements
+Motivation
+Unobtrusive every day health monitoring can be of im-
+portant use for the elderly population.
+In particular, pupil
+size may be a valuable source of information, since, apart
+from pathological cases, it can reveal the emotional state, the"

+016473c5b809ff55304a2923c36eaf58f02f02e4,DensePose: Dense Human Pose Estimation In The Wild,"DensePose: Dense Human Pose Estimation In The Wild
+Rıza Alp G¨uler∗
+Natalia Neverova
+Iasonas Kokkinos
+INRIA-CentraleSup´elec
+Facebook AI Research
+Facebook AI Research
+Figure 1: Dense pose estimation aims at mapping all human pixels of an RGB image to the 3D surface of the human body.
+spondences for 50K images, and train DensePose-RCNN to densely regress UV coordinates at multiple frames per second.
+Right: Partitioning and UV parametrization of the body surface."

+013ae78fc6bd26a13799fe2e07a6ad363aca9ba7,Inspiring Computer Vision System Solutions,"Inspiring Computer Vision System Solutions
+Julian Zilly 1 Amit Boyarski 2 Micael Carvalho 3 Amir Atapour Abarghouei 4 Konstantinos Amplianitis 5
+Aleksandr Krasnov 6 Massimiliano Mancini 7 Hernán Gonzalez 8 Riccardo Spezialetti 9
+Carlos Sampedro Pérez 10 Hao Li 11"

+0155c2921f060a95c0eca8c64bf62a1eaac591e4,Spatiotemporal CNNs for Pornography Detection in Videos,"Spatiotemporal CNNs for Pornography
+Detection in Videos
+Murilo Varges da Silva1,2 and Aparecido Nilceu Marana3
+UFSCar - Federal University of Sao Carlos, Sao Carlos, SP, Brazil
+IFSP - Federal Institute of Education of Sao Paulo, Birigui, SP, Brazil
+UNESP - Sao Paulo State University, Bauru, SP, Brazil"

+011e6146995d5d63c852bd776f782cc6f6e11b7b,Fast Training of Triplet-Based Deep Binary Embedding Networks,"Fast Training of Triplet-based Deep Binary Embedding Networks
+Bohan Zhuang, Guosheng Lin, Chunhua Shen∗, Ian Reid
+The University of Adelaide; and Australian Centre for Robotic Vision"

+01350214f850f43d72268df4f98b05901fbbe06c,1 Deep convolutional neural networks for detection of 2 polar mesocyclones from satellite mosaics 3,"Preprints (www.preprints.org)  |  NOT PEER-REVIEWED  |  Posted: 19 September 2018                   doi:10.20944/preprints201809.0361.v1
+Article
+Deep convolutional neural networks for detection of
+polar mesocyclones from satellite mosaics
+Mikhail Krinitskiy 1,*, Polina Verezemskaya 1,2, Kirill Grashchenkov1,3, Natalia Tilinina1,
+Sergey Gulev1 and Matthew Lazzara 4
+Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia;
+Research Computing Center of Lomonosov Moscow State University, Moscow, Russia
+Moscow Institute of Physics and Technology, Moscow, Russia
+University of Wisconsin-Madison and Madison Area Technical College, Madison, Wisconsin, USA
+*  Correspondence: Tel.: +7-926-141-6200"

+01f42436042ddaa48998c87109cbe46cad6e7e52,Schedtask: a hardware-assisted task scheduler,"SchedTask: A Hardware-Assisted Task Scheduler
+Prathmesh Kallurkar∗
+Microarchitecture Research Lab
+Intel Corporation
+Smruti R. Sarangi
+Department of Computer Science
+Indian Institute of Technology Delhi"

+014b4335d055679bc680a6ceb6f1a264d8ce8a4a,Are You Sure You Want To Do That? Classification with Verification,"Are You Sure You Want To Do That?
+Classification with Verification
+Harris Chan∗
+Atef Chaudhury∗
+Kevin Shen∗"

+01959ef569f74c286956024866c1d107099199f7,VQA: Visual Question Answering,"VQA: Visual Question Answering
+www.visualqa.org
+Stanislaw Antol∗1, Aishwarya Agrawal∗1, Jiasen Lu, Margaret Mitchell,
+Dhruv Batra, C. Lawrence Zitnick, Devi Parikh"

+016860404c0926dda53b9bf4745f3eb9708fa1d2,Iterative hypothesis testing for multi-object tracking in presence of features with variable reliability,"Iterative hypothesis testing for multi-object tracking in presence of
+features with variable reliability
+Amit Kumar K.C.1, Damien Delannay2 and Christophe De Vleeschouwer1
+ISPGroup, ELEN Department, Universit´e catholique de Louvain, Belgium
+{amit.kc,
+Keemotion, Belgium"

+011c5bb510c9a4c24e2fc07e7464fa8493237058,Accelerating Nearest Neighbor Search on Manycore Systems,"Accelerating Nearest Neighbor Search on Manycore
+Systems
+Lawrence Cayton
+Max Planck Institute
+Tübingen, Germany"

+01a152e7ca6accce4fa52e29b27feb76418583fb,Tracking Multiple High-Density Homogeneous Targets,"IEEE TRANSACTION ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. X, NO. X, XXXX
+Tracking multiple high-density homogeneous targets
+Fabio Poiesi and Andrea Cavallaro"

+0144b29bde2579e0a1b8ab3a38306c5621a5c30b,Top-Down Visual Saliency via Joint CRF and Dictionary Learning,"Top-Down Visual Saliency via Joint CRF and Dictionary Learning
+Jimei Yang and Ming-Hsuan Yang
+University of California at Merced"

+01915181692c821cc5a0a703047bd5b07c1f9af5,Cross-Caption Coreference Resolution for Automatic Image Understanding,"Proceedings of the Fourteenth Conference on Computational Natural Language Learning, pages 162–171,
+Uppsala, Sweden, 15-16 July 2010. c(cid:13)2010 Association for Computational Linguistics"

+0181fec8e42d82bfb03dc8b82381bb329de00631,Discriminative Subspace Clustering,"Discriminative Subspace Clustering
+Vasileios Zografos∗1, Liam Ellis†1, and Rudolf Mester‡1 2
+CVL, Dept. of Electrical Engineering, Link¨oping University, Link¨oping, Sweden
+VSI Lab, Computer Science Department, Goethe University, Frankfurt, Germany"

+01ece1dd9a0a2a7289d791625c6c7446d38584e7,A Comparative Analysis of Classification Algorithms Applied to M5AIE-Extracted Human Poses,"A Comparative Analysis of Classification Algorithms
+Applied to M5AIE-Extracted Human Poses
+Andr´e Brand˜ao, Leandro A. F. Fernandes, and Esteban Clua
+MediaLab-UFF, Instituto de Computac¸˜ao, Universidade Federal Fluminense
+Email:
+CEP 24210-240 Niter´oi, RJ, Brazil"

+01e812ad00b7743e9b24aa070a24023f05710b8b,A Distributed Representation Based Query Expansion Approach for Image Captioning,"Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics
+nd the 7th International Joint Conference on Natural Language Processing (Short Papers), pages 106–111,
+Beijing, China, July 26-31, 2015. c(cid:13)2015 Association for Computational Linguistics"

+019a95631c49011330773e953194a0c73c61f3f0,Impairments in monkey and human face recognition in 2-year-old toddlers with Autism Spectrum Disorder and Developmental Delay.,"DOI: 10.1111/j.1467-7687.2006.00543.x
+Blackwell Publishing Ltd
+Face recognition in ASD
+PAPER
+Impairments in monkey and human face recognition in
+-year-old toddlers with Autism Spectrum Disorder and
+Developmental Delay
+Katarzyna Chawarska and Fred Volkmar
+Child Study Center, Yale University School of Medicine, New Haven, CT, USA"

+013e0fe2d203eaa33a4b42d057688815116cc6bb,Recognizing Car Fluents from Video,"Recognizing Car Fluents from Video
+Bo Li1,∗, Tianfu Wu2, Caiming Xiong3,∗ and Song-Chun Zhu2
+Beijing Lab of Intelligent Information Technology, Beijing Institute of Technology
+Department of Statistics, University of California, Los Angeles
+Metamind Inc.
+{tfwu,"

+0113b302a49de15a1d41ca4750191979ad756d2f,Matching Faces with Textual Cues in Soccer Videos,"­4244­0367­7/06/$20.00 ©2006 IEEE
+ICME 2006"

+014b8df0180f33b9fea98f34ae611c6447d761d2,Facial feature tracking and expression recognition for sign language,"Facial Feature Tracking and Expression Recognition
+for Sign Language
+˙Ismail Arı
+Computer Engineering
+Bo˜gazic.i University
+˙Istanbul, Turkey
+Email:
+Asli Uyar
+Computer Engineering
+Bo˜gazic.i University
+˙Istanbul, Turkey
+Email:
+Lale Akarun
+Computer Engineering
+Bo˜gazic.i University
+˙Istanbul, Turkey
+Email:"

+01e5eb25e262afa4289d39b964c837a22a32f5a2,Cricket activity detection,"Cricket Activity Detection
+Ashok Kumar(11164)
+Javesh Garg(11334)
+March 1, 2014"

+0136bf1d3747770a7fb4fcdeaf0b4b195815ed67,Weighted Fourier Series Representation and Its Application to Quantifying the Amount of Gray Matter,"Weighted Fourier Series Representation and
+Its Application to Quantifying the Amount
+of Gray Matter
+Moo K. Chung*, Kim M. Dalton, Li Shen, Alan C. Evans, and Richard J. Davidson"

+069f2092c5d22e6d4c1e27c30e18dc63848fa3c3,A comparison of low-level features for visual attribute recognition,"Görsel Nitelik Ö˘grenmede Alt-Düzey Özniteliklerin
+Kar¸sıla¸stırılması
+A Comparison of Low-level Features for Visual
+Attribute Recognition
+Emine Gül DANACI
+Bilgisayar Mühendisli˘gi Bölümü
+Hacettepe Üniversitesi
+Ankara, Türkiye
+Nazlı ˙IK˙IZLER C˙INB˙I¸S
+Bilgisayar Mühendisli˘gi Bölümü
+Hacettepe Üniversitesi
+Ankara, Türkiye
+Özetçe —Görsel nitelik ö˘grenme ve kullanımı, son yıllarda
+ilgisayarlı görü alanında sıklıkla ara¸stırılmaya ba¸slanmı¸s bir
+konudur. Bu çalı¸smamızda, görsel nitelik ö˘grenmeye, hangi alt
+düzey özniteliklerin daha anlamlı ve verimli sonuçlar verdi˘gini
+ra¸stırmayı amaçlamaktayız. Bu kapsamda, renk ve ¸sekil bil-
+gisini farklı detaylarda ele alan alt düzey özniteliklerin, nitelik
+sınıflandırmaya katkısı ara¸stırılmı¸s, ve deneysel olarak de˘ger-
+lendirilmi¸stir. Elde edilen sonuçlar, özellikle renk ve yerel ¸sekil"

+0601416ade6707c689b44a5bb67dab58d5c27814,Feature Selection in Face Recognition: A Sparse Representation Perspective,"Feature Selection in Face Recognition: A Sparse
+Representation Perspective
+Allan Y. Yang
+John Wright
+Yi Ma
+S. Shankar Sastry
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2007-99
+http://www.eecs.berkeley.edu/Pubs/TechRpts/2007/EECS-2007-99.html
+August 14, 2007"

+06e15d0d6f92a11bb5b46b5a3e0250cccc452c92,Diagnostic Features of Emotional Expressions Are Processed Preferentially,"Diagnostic Features of Emotional Expressions Are
+Processed Preferentially
+Elisa Scheller1, Christian Bu¨ chel2, Matthias Gamer2*
+Department of Psychiatry and Psychotherapy, University Medical Center Freiburg, Freiburg, Germany, 2 Department of Systems Neuroscience, University Medical Center
+Hamburg-Eppendorf, Hamburg, Germany"

+064b797aa1da2000640e437cacb97256444dee82,Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression,"Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression
+Zhiao Huang
+Megvii Inc.
+Erjin Zhou
+Megvii Inc.
+Zhimin Cao
+Megvii Inc."

+06f146dfcde10915d6284981b6b84b85da75acd4,Scalable Face Image Retrieval Using Attribute-Enhanced Sparse Codewords,"Scalable Face Image Retrieval using
+Attribute-Enhanced Sparse Codewords
+Bor-Chun Chen, Yan-Ying Chen, Yin-Hsi Kuo, Winston H. Hsu"

+0697bd81844d54064d992d3229162fe8afcd82cb,User-driven mobile robot storyboarding: Learning image interest and saliency from pairwise image comparisons,"User-driven mobile robot storyboarding: Learning image interest and
+saliency from pairwise image comparisons
+Michael Burke1"

+06cfc431b70ec6a6783284953a668984600e77e2,A Framework for Human Pose Estimation in Videos,"A Framework for Human Pose Estimation in
+Videos
+Dong Zhang and Mubarak Shah"

+06262d6beeccf2784e4e36a995d5ee2ff73c8d11,Recognize Actions by Disentangling Components of Dynamics,"Recognize Actions by Disentangling Components of Dynamics
+Yue Zhao1, Yuanjun Xiong1,2, and Dahua Lin1
+CUHK - SenseTime Joint Lab, The Chinese University of Hong Kong 2Amazon Rekognition"

+0690ba31424310a90028533218d0afd25a829c8d,Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs,"Published as a conference paper at ICLR 2015
+SEMANTIC IMAGE SEGMENTATION WITH DEEP CON-
+VOLUTIONAL NETS AND FULLY CONNECTED CRFS
+Liang-Chieh Chen
+Univ. of California, Los Angeles
+George Papandreou ∗
+Google Inc.
+Iasonas Kokkinos
+CentraleSup´elec and INRIA
+Kevin Murphy
+Google Inc.
+Alan L. Yuille
+Univ. of California, Los Angeles"

+063f0e6afe13df9913617dbc2230ad4263a595bc,Loneliness and Hypervigilance to Social Cues in Females: An Eye-Tracking Study,"RESEARCH ARTICLE
+Loneliness and Hypervigilance to Social Cues
+in Females: An Eye-Tracking Study
+Gerine M. A. Lodder1*, Ron H. J. Scholte1¤a, Ivar A. H. Clemens2, Rutger C. M. E. Engels1¤b,
+Luc Goossens3, Maaike Verhagen1
+Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands, 2 Donders Institute for
+Brain, Cognition, and Behaviour, Radboud University, Nijmegen, The Netherlands, 3 Research Group
+School Psychology and Child and Adolescent Development, KU Leuven, Leuven, Belgium
+¤a Current address: Praktikon, Nijmegen, The Netherlands
+¤b Current address: The Trimbos Institute, Netherlands Institute of Mental Health and Addiction, Utrecht,
+The Netherlands"

+06a23ffbd9752ce204197df59812b2ebd1a097ff,Feedforward semantic segmentation with zoom-out features,"Feedforward semantic segmentation with zoom-out features
+Mohammadreza Mostajabi, Payman Yadollahpour and Gregory Shakhnarovich
+Toyota Technological Institute at Chicago"

+06de3eab314437cc3ed08c3db5171a79c1f684c6,Boosting patch-based scene text script identification with ensembles of conjoined networks,"Boosting patch-based scene text script identification with
+ensembles of conjoined networks
+Lluis Gomez, Anguelos Nicolaou, Dimosthenis Karatzas
+Computer Vision Center, Universitat Autonoma de Barcelona. Edifici O, Campus UAB, 08193 Bellaterra (Cerdanyola)
+Barcelona, Spain. E-mail:"

+06774cc8b0ab364866beaf3efda1b2d012a7bcf9,MobileNetV2: Inverted Residuals and Linear Bottlenecks,"MobileNetV2: Inverted Residuals and Linear Bottlenecks
+Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen
+{sandler, howarda, menglong, azhmogin,
+Google Inc."

+06d93a40365da90f30a624f15bf22a90d9cfe6bb,Learning from Candidate Labeling Sets,"Learning from Candidate Labeling Sets
+Idiap Research Institute and EPF Lausanne
+Luo Jie
+Francesco Orabona
+DSI, Universit`a degli Studi di Milano"

+06ef2ba33ec911aa0102fb938b53bd3cc36a475f,Introducing FoxFaces: A 3-in-1 Head Dataset,

+06992ca951456bb88523f702f904dfd23eb27c53,Using Mobile Platform to Detect and Alerts Driver Fatigue,"International Journal of Computer Applications (0975 – 8887)
+Volume 123 – No.8, August 2015
+Using Mobile Platform to Detect and Alerts
+Maysoon F. Abulkhair
+Department of Information
+Technology, Faculty of
+Computing and Information
+Technology, King Abdulaziz
+University
+B.P. 42808 Zip Code 21551-
+Girl Section, Jeddah, Saudi
+Arabia
+Driver Fatigue
+Hesham A. Salman
+Department of Information
+Systems
+Faculty of Computing and
+Information Technology King
+Abdulaziz University
+Lamiaa F. Ibrahim"

+06e7e99c1fdb1da60bc3ec0e2a5563d05b63fe32,WhittleSearch: Image search with relative attribute feedback,"WhittleSearch: Image Search with Relative Attribute Feedback
+Adriana Kovashka, Devi Parikh and Kristen Grauman
+(Supplementary Material)
+Comparative Qualitative Search Results
+We present three qualitative search results for human-generated feedback, in addition to those
+shown in the paper. Each example shows one search iteration, where the 20 reference images are
+randomly selected (rather than ones that match a keyword search, as the image examples in the
+main paper illustrate). For each result, the first figure shows our method and the second figure
+shows the binary feedback result for the corresponding target image. Note that for our method,
+“more/less X” (where X is an attribute) means that the target image is more/less X than the
+reference image which is shown.
+Figures 1 and 2 show results for human-generated relative attribute and binary feedback, re-
+spectively, when both methods are used to target the same “mental image” of a shoe shown in the
+top left bubble. The top right grid of 20 images are the reference images displayed to the user, and
+those outlined and annotated with constraints are the ones chosen by the user to give feedback.
+The bottom row of images in either figure shows the top-ranked images after integrating the user’s
+feedback into the scoring function, revealing the two methods’ respective performance. We see that
+while both methods retrieve high-heeled shoes, only our method retrieves images that are as “open”
+s the target image. This is because using the proposed approach, the user was able to comment
+explicitly on the desired openness property."

+064aaad2a9ac5044b333714e61955631faee87fd,Face Recognition using Radial Curves and Back Propagation Neural Network for Frontal Faces under Various Challenges,"International Journal of Computer Applications (0975 – 8887)
+International Conference on Advances in Science and Technology 2015 (ICAST 2015)
+Face Recognition using Radial Curves and Back
+Propagation Neural Network for frontal faces under
+various challenges
+Latasha Keshwani
+Electronics and Telecommunication Department
+Datta Meghe College of Engineering, Airoli, Mumbai
+University, (MS), India"

+06e768d74f076b251d53b0c86fc9910d7243bdc6,Effective and efficient visual description based on local binary patterns and gradient distribution for object recognition,"Effective and ef‌f‌icient visual description based on local
+inary patterns and gradient distribution for object
+recognition
+Chao Zhu
+To cite this version:
+Chao Zhu. Effective and ef‌f‌icient visual description based on local binary patterns and gradient
+distribution for object recognition. Other. Ecole Centrale de Lyon, 2012. English. <NNT :
+012ECDL0005>. <tel-00755644>
+HAL Id: tel-00755644
+https://tel.archives-ouvertes.fr/tel-00755644
+Submitted on 21 Nov 2012
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destin´ee au d´epˆot et `a la diffusion de documents
+scientifiques de niveau recherche, publi´es ou non,"

+066d71fcd997033dce4ca58df924397dfe0b5fd1,Iranian Face Database and Evaluation with a New Detection Algorithm,"(cid:1)(cid:2)(cid:3)(cid:4)(cid:5)(cid:3)(cid:4)(cid:6)(cid:7)(cid:3)(cid:8)(cid:9)(cid:6)(cid:10)(cid:3)(cid:11)(cid:3)(cid:12)(cid:3)(cid:13)(cid:9)
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+(cid:8)(cid:10)(cid:5)(cid:4)(cid:1)(cid:24)(cid:15)(cid:1)(cid:10)(cid:4)(cid:1);)(cid:6)(cid:24)(cid:4)(cid:1)((cid:20)(cid:4)(cid:27)(cid:6)(cid:11)(cid:4)(cid:1)(cid:6)(cid:12)(cid:1)(cid:24)(cid:16)(cid:6)(cid:11)(cid:1)(cid:4)(cid:11)(cid:24)(cid:6)(cid:17)(cid:8)(cid:24)(cid:6)(cid:15)(cid:12)(cid:1)<(cid:2)=(cid:21)(cid:1)(cid:26)(cid:12)(cid:1)(cid:20)(cid:4)(cid:27)(cid:4)(cid:12)(cid:24)(cid:1)(cid:30)(cid:4)(cid:8)(cid:20)(cid:11)(cid:14)(cid:1)
+(cid:25)(cid:8)(cid:27)(cid:4)(cid:1) (cid:20)(cid:4)(cid:27)(cid:15)-(cid:12)(cid:6)(cid:24)(cid:6)(cid:15)(cid:12)(cid:1) (cid:8)(cid:12)(cid:18)(cid:1) (cid:20)(cid:4)(cid:5)(cid:8)(cid:24)(cid:4)(cid:18)(cid:1) .(cid:15)(cid:20)(cid:7)(cid:11)(cid:1) (cid:16)(cid:8)(cid:29)(cid:4)(cid:1) (cid:20)(cid:4)(cid:27)(cid:4)(cid:6)(cid:29)(cid:4)(cid:18)(cid:1) (cid:11))(cid:10)(cid:11)(cid:24)(cid:8)(cid:12)(cid:24)(cid:6)(cid:8)(cid:5)(cid:1)
+(cid:8)(cid:24)(cid:24)(cid:4)(cid:12)(cid:24)(cid:6)(cid:15)(cid:12)(cid:1) (cid:25)(cid:20)(cid:15)(cid:17)(cid:1) (cid:20)(cid:4)(cid:11)(cid:4)(cid:8)(cid:20)(cid:27)(cid:16)(cid:4)(cid:20)(cid:11)(cid:1) (cid:6)(cid:12)(cid:1) (cid:10)(cid:6)(cid:15)(cid:17)(cid:4)(cid:24)(cid:20)(cid:6)(cid:27)(cid:11)(cid:14)(cid:1) ((cid:8)(cid:24)(cid:24)(cid:4)(cid:20)(cid:12)(cid:1) (cid:20)(cid:4)(cid:27)(cid:15)-(cid:12)(cid:6)(cid:24)(cid:6)(cid:15)(cid:12)(cid:14)(cid:1)
+(cid:8)(cid:12)(cid:18)(cid:1) (cid:27)(cid:15)(cid:17)()(cid:24)(cid:4)(cid:20) (cid:29)(cid:6)(cid:11)(cid:6)(cid:15)(cid:12)(cid:1) (cid:27)(cid:15)(cid:17)(cid:17))(cid:12)(cid:6)(cid:24)(cid:6)(cid:4)(cid:11)(cid:1) </(cid:14)(cid:1) *(cid:14)(cid:1) > (cid:8)(cid:12)(cid:18) 1=(cid:21)(cid:1) ’(cid:16)(cid:4)(cid:11)(cid:4)(cid:1)
+(cid:27)(cid:15)(cid:17)(cid:17)(cid:15)(cid:12)(cid:1)(cid:6)(cid:12)(cid:24)(cid:4)(cid:20)(cid:4)(cid:11)(cid:24)(cid:11)(cid:1)(cid:8)(cid:17)(cid:15)(cid:12)-(cid:1)(cid:20)(cid:4)(cid:11)(cid:4)(cid:8)(cid:20)(cid:27)(cid:16)(cid:4)(cid:20)(cid:11)(cid:1)(cid:17)(cid:15)(cid:24)(cid:6)(cid:29)(cid:8)(cid:24)(cid:4)(cid:18)(cid:1))(cid:11)(cid:1)(cid:24)(cid:15)(cid:1)(cid:27)(cid:15)(cid:5)(cid:5)(cid:4)(cid:27)(cid:24)(cid:1)(cid:8)(cid:1)
+(cid:18)(cid:8)(cid:24)(cid:8)(cid:10)(cid:8)(cid:11)(cid:4)(cid:1) (cid:15)(cid:25)(cid:1) (cid:25)(cid:8)(cid:27)(cid:6)(cid:8)(cid:5)(cid:1) (cid:6)(cid:17)(cid:8)-(cid:4)(cid:11)(cid:1) (cid:25)(cid:20)(cid:15)(cid:17)(cid:1) ((cid:4)(cid:15)((cid:5)(cid:4)(cid:1) (cid:6)(cid:12)(cid:1) (cid:18)(cid:6)(cid:25)(cid:25)(cid:4)(cid:20)(cid:4)(cid:12)(cid:24)(cid:1) (cid:8)-(cid:4)(cid:11)(cid:21) ’(cid:16)(cid:4)(cid:1)
+(cid:18)(cid:8)(cid:24)(cid:8)(cid:10)(cid:8)(cid:11)(cid:4)(cid:1)(cid:6)(cid:11)(cid:1)(cid:6)(cid:12)(cid:24)(cid:4)(cid:12)(cid:18)(cid:4)(cid:18)(cid:1)(cid:25)(cid:15)(cid:20)(cid:1)(cid:18)(cid:6)(cid:11)(cid:24)(cid:20)(cid:6)(cid:10))(cid:24)(cid:6)(cid:15)(cid:12)(cid:1)(cid:24)(cid:15)(cid:1)(cid:20)(cid:4)(cid:11)(cid:4)(cid:8)(cid:20)(cid:27)(cid:16)(cid:4)(cid:20)(cid:11)(cid:21)
+’(cid:16)(cid:4)(cid:20)(cid:4)(cid:1) (cid:8)(cid:20)(cid:4)(cid:1) (cid:17)(cid:8)(cid:12)(cid:30)(cid:1) ()(cid:10)(cid:5)(cid:6)(cid:27)(cid:8)(cid:5)(cid:5)(cid:30)(cid:1) (cid:8)(cid:29)(cid:8)(cid:6)(cid:5)(cid:8)(cid:10)(cid:5)(cid:4)(cid:1) (cid:18)(cid:8)(cid:24)(cid:8)(cid:10)(cid:8)(cid:11)(cid:4)(cid:11)(cid:1) (cid:25)(cid:15)(cid:20)(cid:1) (cid:25)(cid:8)(cid:27)(cid:4)(cid:1)"

+06560d5721ecc487a4d70905a485e22c9542a522,Deep Facial Attribute Detection in the Wild: From General to Specific,"SUN, YU: DEEP FACIAL ATTRIBUTE DETECTION IN THE WILD
+Deep Facial Attribute Detection in the Wild:
+From General to Specific
+Yuechuan Sun
+Jun Yu
+Department of Automation
+University of Science and Technology
+of China
+Hefei, China"

+066000d44d6691d27202896691f08b27117918b9,Vision-Based Analysis of Small Groups in Pedestrian Crowds,"Vision-based Analysis of Small Groups in
+Pedestrian Crowds
+Weina Ge, Robert T. Collins, Senior Member, IEEE, and R. Barry Ruback
+E-mail:"

+061fb1b627554f52ff8f3ebb531e326767d845ec,Globally-optimal greedy algorithms for tracking a variable number of objects,"Globally-Optimal Greedy Algorithms for Tracking a Variable Number of
+Objects
+Hamed Pirsiavash Deva Ramanan Charless C. Fowlkes
+Department of Computer Science, University of California, Irvine"

+06599d41a3256245aa0cb2e9e56b29459c2e2c69,VisualWord2Vec (Vis-W2V): Learning Visually Grounded Word Embeddings Using Abstract Scenes,Visual Word2Vec (vis-w2v): Learning Visually Grounded

+06dfc1c6f62bffd5f8b8619d8c51db1ec4d25f3f,Fusing Local Patterns of Gabor Magnitude and Phase for Face Recognition,"Fusing Local Patterns of Gabor Magnitude
+nd Phase for Face Recognition
+Shufu Xie, Shiguang Shan, Member, IEEE, Xilin Chen, Senior Member, IEEE, and Jie Chen, Member, IEEE"

+06f7e0aee7fc5807ab862432a4e5ade2cda73c4b,Flowing ConvNets for Human Pose Estimation in Videos,"Flowing ConvNets for Human Pose Estimation in Videos
+Tomas Pfister1, James Charles2 and Andrew Zisserman1
+Objective & Contributions
+Estimate 2D upper body joint positions (wrist, elbow, shoulder, head) with high accuracy in real-time
+- A better ConvNet for general image (x,y) position regression
+- Spatial fusion layers that learn an implicit spatial model between predicted positions
+- Optical flow for propagating position predictions from neighbouring frames
+. Regress a heatmap for each position
+Heatmap
+ConvNet
+(fully convolutional)
+56 x 256 x 3
+64 x 64 x N
+. Represent positions by Gaussians
+k joints
+Idea 1: Implicit ConvNet spatial model
+. Add fusion layers to learn dependencies between predicted positions
+onv1
+5x5x128
+pool 2x2"

+069c40a8ca5305c9a0734c1f6134eb19a678f4ab,LabelMe: A Database and Web-Based Tool for Image Annotation,"Int J Comput Vis (2008) 77: 157–173
+DOI 10.1007/s11263-007-0090-8
+LabelMe: A Database and Web-Based Tool for Image Annotation
+Bryan C. Russell · Antonio Torralba ·
+Kevin P. Murphy · William T. Freeman
+Received: 6 September 2005 / Accepted: 11 September 2007 / Published online: 31 October 2007
+© Springer Science+Business Media, LLC 2007"

+06fe63b34fcc8ff68b72b5835c4245d3f9b8a016,Learning semantic representations of objects and their parts,"Mach Learn
+DOI 10.1007/s10994-013-5336-9
+Learning semantic representations of objects
+nd their parts
+Grégoire Mesnil · Antoine Bordes · Jason Weston ·
+Gal Chechik · Yoshua Bengio
+Received: 24 May 2012 / Accepted: 26 February 2013
+© The Author(s) 2013"

+069c9b3c7cf82310d3e06831208aea15f6fdfc32,Power management for mobile games on asymmetric multi-cores,"Power Management for Mobile Games
+on Asymmetric Multi-Cores
+Anuj Pathania, Santiago Pagani, Muhammad Shafique, J¨org Henkel
+Chair for Embedded Systems (CES), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
+Corresponding Author:"

+06d89147794d0889b2e031b0c6811423806f5ea0,A 3D Morphable Eye Region Model for Gaze Estimation,"A 3D Morphable Eye Region Model
+for Gaze Estimation
+Anonymous ECCV submission
+Paper ID 93"

+06aab105d55c88bd2baa058dc51fa54580746424,Image Set-Based Collaborative Representation for Face Recognition,"Image Set based Collaborative Representation for
+Face Recognition
+Pengfei Zhu, Student Member, IEEE, Wangmeng Zuo, Member, IEEE, Lei Zhang, Member, IEEE, Simon C.K. Shiu,
+Member, IEEE, David Zhang, Fellow, IEEE"

+06262d14323f9e499b7c6e2a3dec76ad9877ba04,Real-Time Pose Estimation Piggybacked on Object Detection,"Real-Time Pose Estimation Piggybacked on Object Detection
+Roman Jur´anek, Adam Herout, Mark´eta Dubsk´a, Pavel Zemˇc´ık
+Brno University of Technology
+Brno, Czech Republic"

+06e9149b7ef8bff3a4b5a18fe01da9a522f91891,SRLSP: A Face Image Super-Resolution Algorithm Using Smooth Regression With Local Structure Prior,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TMM.2016.2601020, IEEE
+Transactions on Multimedia
+SRLSP: A Face Image Super-Resolution Algorithm
+Using Smooth Regression with Local Structure Prior
+Junjun Jiang, Member, IEEE, Chen Chen, Jiayi Ma, Member, IEEE, Zheng Wang, Zhongyuan
+Wang, Member, IEEE, and Ruimin Hu, Senior Member, IEEE
+traditional"

+062c41dad67bb68fefd9ff0c5c4d296e796004dc,Temporal Generative Adversarial Nets with Singular Value Clipping,"Temporal Generative Adversarial Nets with Singular Value Clipping
+Masaki Saito∗
+Eiichi Matsumoto∗
+Preferred Networks inc., Japan
+{msaito, matsumoto,
+Shunta Saito"

+06cb0939ed5fb2b3398d54a7fcdb865fe53f414a,Bag-of-Words Image Representation: Key Ideas and Further Insight,"Chapter 2
+Bag-of-Words Image Representation:
+Key Ideas and Further Insight
+Marc T. Law, Nicolas Thome and Matthieu Cord"

+06bd34951305d9f36eb29cf4532b25272da0e677,"A Fast and Accurate System for Face Detection, Identification, and Verification","JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+A Fast and Accurate System for Face Detection,
+Identification, and Verification
+Rajeev Ranjan, Ankan Bansal, Jingxiao Zheng, Hongyu Xu, Joshua Gleason, Boyu Lu, Anirudh Nanduri,
+Jun-Cheng Chen, Carlos D. Castillo, Rama Chellappa"

+068a7c7849cb6480def2e124ac5a45564e094b2a,Multi-Scale Learning for Low-Resolution Person Re-Identification,"Multi-scale learning for low-resolution person re-identification
+Li, X; Zheng, WS; Wang, X; Xiang, T; Gong, S
+© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be
+obtained for all other uses, in any current or future media, including reprinting/republishing
+this material for advertising or promotional purposes, creating new collective works, for resale
+or redistribution to servers or lists, or reuse of any copyrighted component of this work in
+other works.
+For additional information about this publication click this link.
+http://qmro.qmul.ac.uk/xmlui/handle/123456789/19657
+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"

+06687e82ecc94f716d86d3e9f6bfbd30655c6631,CANDECOMP/PARAFAC Decomposition of High-Order Tensors Through Tensor Reshaping,"CANDECOMP/PARAFAC Decomposition of
+High-order Tensors Through Tensor Reshaping
+Anh Huy Phan∗, Petr Tichavsk´y and Andrzej Cichocki"

+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.
+Peer reviewed version
+Link to publication record in Explore Bristol Research
+PDF-document
+University of Bristol - Explore Bristol Research
+General rights
+This document is made available in accordance with publisher policies. Please cite only the published
+version using the reference above. Full terms of use are available:
+http://www.bristol.ac.uk/pure/about/ebr-terms"

+0612745dbd292fc0a548a16d39cd73e127faedde,Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models,"Noname manuscript No.
+(will be inserted by the editor)
+Flickr30k Entities: Collecting Region-to-Phrase Correspondences for
+Richer Image-to-Sentence Models
+Bryan A. Plummer · Liwei Wang · Chris M. Cervantes · Juan C. Caicedo · Julia
+Hockenmaier · Svetlana Lazebnik
+Received: date / Accepted: date"

+0683be899f3e04b8b55a501e8ffafc0484b44056,Using Deep Learning and Low-Cost RGB and Thermal Cameras to Detect Pedestrians in Aerial Images Captured by Multirotor UAV,"Article
+Using Deep Learning and Low-Cost RGB and
+Thermal Cameras to Detect Pedestrians in Aerial
+Images Captured by Multirotor UAV
+Diulhio Candido de Oliveira * ID and Marco Aurelio Wehrmeister ID
+Computing Systems Engineering Laboratory (LESC), Federal University of Technology—Parana (UTFPR),
+Curitiba 80230-901, Brazil;
+* Correspondence: Tel.: +55-41-3310-4646
+Received: 27 April 2018; Accepted: 3 July 2018; Published: 12 July 2018"

+06dee5ff4b41eadf5db5c6841d3441d388f08117,3D Cascade of Classifiers for Open and Closed Eye Detection in Driver Distraction Monitoring,"D Cascade of Classifiers for
+Open and Closed Eye Detection
+in Driver Distraction Monitoring
+Mahdi Rezaei and Reinhard Klette
+The .enpeda.. Project, The University of Auckland
+Tamaki Innovation Campus, Auckland, New Zealand"

+060820f110a72cbf02c14a6d1085bd6e1d994f6a,Fine-grained classification of pedestrians in video: Benchmark and state of the art,"Fine-Grained Classification of Pedestrians in Video: Benchmark and State of the Art
+David Hall and Pietro Perona
+California Institute of Technology.
+The dataset was labelled with bounding boxes, tracks, pose and fine-
+grained labels. To achieve this, crowdsourcing, using workers from Ama-
+zon’s Mechanical Turk (MTURK) was used. A summary of the dataset’s
+statistics can be found in Table 1.
+Number of Frames Sent to MTURK
+Number of Frames with at least 1 Pedestrian
+Number of Bounding Box Labels
+Number of Pose Labels
+Number of Tracks
+8,708
+0,994
+2,457
+7,454
+,222
+Table 1: Dataset Statistics
+A state-of-the-art algorithm for fine-grained classification was tested us-
+ing the dataset. The results are reported as a useful performance baseline."

+063a3be18cc27ba825bdfb821772f9f59038c207,The development of spontaneous facial responses to others’ emotions in infancy: An EMG study,"This is a repository copy of The development of spontaneous facial responses to others’
+emotions in infancy. An EMG study.
+White Rose Research Online URL for this paper:
+http://eprints.whiterose.ac.uk/125231/
+Version: Published Version
+Article:
+Kaiser, Jakob, Crespo-Llado, Maria Magdalena, Turati, Chiara et al. (1 more author)
+(2017) The development of spontaneous facial responses to others’ emotions in infancy.
+An EMG study. Scientific Reports. ISSN 2045-2322
+https://doi.org/10.1038/s41598-017-17556-y
+Reuse
+This article is distributed under the terms of the Creative Commons Attribution (CC BY) licence. This licence
+llows you to distribute, remix, tweak, and build upon the work, even commercially, as long as you credit the
+uthors for the original work. More information and the full terms of the licence here:
+https://creativecommons.org/licenses/
+Takedown
+If you consider content in White Rose Research Online to be in breach of UK law, please notify us by
+emailing including the URL of the record and the reason for the withdrawal request.
+https://eprints.whiterose.ac.uk/"

+060797f33c242b568189be251f9735afdc4c9f22,Robust Deep-Learning-Based Road-Prediction for Augmented Reality Navigation Systems at Night,"Robust Deep-Learning-Based Road-Prediction
+for Augmented Reality Navigation Systems
+Matthias Limmer1*, Julian Forster1*, Dennis Baudach1, Florian Schüle2,
+Roland Schweiger1 and Hendrik P.A. Lensch3"

+069ebb57ccca31ab68983e07044e65ce1a04174f,4D facial expression recognition,"011 IEEE International Conference on Computer Vision Workshops
+978-1-4673-0063-6/11/$26.00 c(cid:13)2011 IEEE"

+06680961e99aadb366968e5f515da58864ecd784,ENabler for Design Specifications FP 6 - IST - 2005 - 27916,"Trends Research ENabler for Design Specifications
+FP6-IST-2005-27916
+Deliverable
+TRENDS META-DELIVERABLE 1 - STATE OF THE ART
+Security Classification :   PU
+Leading partner
+SERAM
+Issue Date
+03/09/2007
+Version
+Authors
+Approved by
+Final draft
+Aranzazu BERECIARTUA, Carole BOUCHARD, Marin FERECATU, Guillaume LOGEROT, Loïs RIGOUSTE, Carlotta
+VITALE
+Carole Bouchard
+03/09/2007
+META DELIVERABLE 1 - STATE OF THE ART
+This document presents a State Of the Art related to
+most popular products, tools and methods"

+069cadd9d8e52ad2715a3551012a06e506191626,Person re-identification using semantic color names and RankBoost,"Person Re-identification using Semantic Color Names and RankBoost
+Cheng-Hao Kuo1, Sameh Khamis2∗, and Vinay Shet1
+Imaging and Computer Vision, Siemens Corporation, Corporate Technology1, Princeton, NJ
+University of Maryland2, College Park, MD"

+06f969d3858b6d14425fcbe7ff12b72e213ee240,Recognizing Cardiac Magnetic Resonance Acquisition Planes,"Recognizing cardiac magnetic resonance acquisition
+planes
+Jan Margeta, Antonio Criminisi, Daniel C. Lee, Nicholas Ayache
+To cite this version:
+Jan Margeta, Antonio Criminisi, Daniel C. Lee, Nicholas Ayache. Recognizing cardiac magnetic
+resonance acquisition planes. MIUA - Medical Image Understanding and Analysis Conference
+- 2014, Jul 2014, London, United Kingdom. 2014. <hal-01009952>
+HAL Id: hal-01009952
+https://hal.inria.fr/hal-01009952
+Submitted on 19 Jun 2014
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+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"

+06c333fc146d0a87f591c82a1f22925ccef378b1,Emotional Cues during Simultaneous Face and Voice Processing: Electrophysiological Insights,"Emotional Cues during Simultaneous Face and Voice
+Processing: Electrophysiological Insights
+Taosheng Liu1,2, Ana Pinheiro2,3, Zhongxin Zhao4*, Paul G. Nestor2,5, Robert W. McCarley2, Margaret A.
+Niznikiewicz2*
+Department of Psychology, Second Military Medical University, Shanghai, China, 2 Clinical Neuroscience Division, Laboratory of Neuroscience, Department of Psychiatry,
+Boston VA Healthcare System, Brockton Division and Harvard Medical School, Brockton, Massachusetts, United States of America, 3 Neuropsychophysiology Laboratory,
+CiPsi, School of Psychology, University of Minho, Braga, Portugal, 4 Department of Neurology, Neuroscience Research Center of Changzheng Hospital, Second Military
+Medical University, Shanghai, China, 5 University of Massachusetts, Boston, Massachusetts, United States of America"

+0628ffefb911d1446914098d7c38a094c92c8a70,An opportunistic prediction-based thread scheduling to maximize throughput/watt in AMPs,"An Opportunistic Prediction-based Thread
+Scheduling to Maximize Throughput/Watt in AMPs
+Arunachalam Annamalai, Rance Rodrigues, Israel Koren and Sandip Kundu
+Department of Electrical and Computer Engineering, University of Massachusetts at Amherst
+Email: {annamalai, rodrigues, koren,"

+06ad99f19cf9cb4a40741a789e4acbf4433c19ae,SenTion: A framework for Sensing Facial Expressions,"SenTion: A framework for Sensing Facial
+Expressions
+Rahul Islam∗, Karan Ahuja∗, Sandip Karmakar∗, Ferdous Barbhuiya∗ ∗IIIT Guwahati
+{rahul.islam, karan.ahuja, sandip,"

+06e959c88dcce05847a395dc404725dd0488003d,Articulated clinician detection using 3D pictorial structures on RGB-D data,"D Pictorial Structures on RGB-D Data for
+Articulated Human Detection in Operating Rooms
+Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin and Nicolas Padoy"

+06a2a3c6d44ab5572df55ce34d9b1216bc685385,GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks,"GANVO: Unsupervised Deep Monocular Visual Odometry and Depth
+Estimation with Generative Adversarial Networks
+Yasin Almalioglu1, Muhamad Risqi U. Saputra1, Pedro P. B. de Gusmo1, Andrew Markham1, and Niki Trigoni1"

+6c3c845fe484bdb2b3549054644c7a06bd9b87b8,ENCARA: real-time detection of frontal faces,"ENCARA: REAL-TIME DETECTION OF FRONTAL FACES
+M. Castrillón Santana, M. Hernández Tejera, J. Cabrera Gámez
+Instituto Universitario Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería
+Universidad de Las Palmas de Gran Canaria
+5017 Gran Canaria - Spain"

+6c27eccf8c4b22510395baf9f0d0acc3ee547862,Using CMU PIE Human Face Database to a Convolutional Neural Network - Neocognitron,"Using CMU PIE Human Face Database to a
+Convolutional Neural Network - Neocognitron
+José Hiroki Saito1, Tiago Vieira de Carvalho1, Marcelo Hirakuri1, André Saunite1,
+Alessandro Noriaki Ide2 and Sandra Abib1
+- Federal University of São Carlos - Computer Science Department - GAPIS
+Rodovia Washington Luis, Km 235, São Carlos – SP - Brazil
+- University of Genoa - Department of Informatics, Systems and Telematics - Neurolab
+Via Opera Pia, 13 – I-16145 – Genoa - Italy"

+6c0f9acd62ca9f156ca632dad6d666209eae461e,Discriminative vision-based recovery and recognition of human motion,"Discriminative Vision-Based Recovery and
+Recognition of Human Motion
+9-789036-528108
+CTIT Dissertation Series No. 09-136
+Center for Telematics and Information Technology (CTIT)
+P.O. Box 217, 7500 AE Enschede, The Netherlands
+Ronald Poppe"

+6cbb3c47010e406de656d13fe289522bb3071bc0,Improved vehicle detection system based on customized HOG,"Improved vehicle detection system based on
+ustomized HOG
+Haythem AMEUR1, Abdelhamid HELALI1, Hassen MAAREF1, Anis YOUSSEF2
+Laboratory of Micro-Optoelectronic and Nanostructure, University of Monastir
+Tunisia, Monastir
+2 TELNET Innovation Labs Tunisia, Tunis"

+6ce6da7a6b2d55fac604d986595ba6979580393b,Cross Domain Knowledge Transfer for Person Re-identification,"Cross Domain Knowledge Transfer for Person Re-identification
+Qiqi Xiao
+Kelei Cao
+Haonan Chen
+Fangyue Peng
+Chi Zhang"

+6cd557019b7775d8647ca31260734c786fdb69ec,Visual Classifier Prediction by Distributional Semantic Embedding of Text Descriptions,"Proceedings of the 2015 Workshop on Vision and Language (VL’15), pages 48–50,
+Lisbon, Portugal, 18 September 2015. c(cid:13)2015 Association for Computational Linguistics."

+6cefb70f4668ee6c0bf0c18ea36fd49dd60e8365,Privacy-Preserving Deep Inference for Rich User Data on The Cloud,"Privacy-Preserving Deep Inference for Rich User
+Data on The Cloud
+Seyed Ali Osia ♯, Ali Shahin Shamsabadi ♯, Ali Taheri ♯, Kleomenis Katevas ⋆,
+Hamid R. Rabiee ♯, Nicholas D. Lane †, Hamed Haddadi ⋆
+♯ Sharif University of Technology
+⋆ Queen Mary University of London
+Nokia Bell Labs & University of Oxford"

+6cb68c1f7558e01966ad1e1fa81feeeae3dee666,Photo Filter Recommendation by Category-Aware Aesthetic Learning,"IEEE TRANSACTION ON MULTIMEDIA
+Photo Filter Recommendation
+y Category-Aware Aesthetic Learning
+Wei-Tse Sun, Ting-Hsuan Chao, Yin-Hsi Kuo, Winston H. Hsu"

+6c54261f601c8a569149b77d32efe6c58f2e4a2e,Preliminary evidence that the limbal ring influences facial attractiveness.,"Evolutionary Psychology
+www.epjournal.net – 2011. 9(2): 137-146
+¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
+Original Article
+Preliminary Evidence that the Limbal Ring Influences Facial Attractiveness
+Darren Peshek, Department of Cognitive Sciences, University of California Irvine, Irvine, CA, USA. Email:
+(Corresponding author).
+Negar Semmaknejad, Department of Cognitive Sciences, University of California Irvine, Irvine, CA, USA.
+Donald Hoffman, Department of Cognitive Sciences, University of California Irvine, Irvine, CA, USA.
+Pete Foley, Innovation Science, Procter & Gamble, Cincinnati, OH, USA."

+6c62330cbd60f2cb6cb80b920104d0df3116cb3f,Robust People Tracking Using A Light Coding Depth Sensor,"Robust People Tracking Using A Light Coding Depth Sensor
+Xun Changqing1, Yang Shuqiang2, and Zhang Chunyuan1
+College of Computer, National University of Defence Technology, ChangSha, China
+College of Electronic Science and Engineering, National University of Defence Technology, ChangSha, China"

+6c52c12644321d4256306feaf784ccae6ebc4fea,Enhanced vote count circuit based on nor flash memory for fast similarity search,"978-1-4799-9988-0/16/$31.00 ©2016 IEEE
+ICASSP 2016"

+6ceacd889559cfcf0009e914d47f915167231846,The impact of visual attributes on online image diffusion,"The Impact of Visual Attributes on Online Image Diffusion
+Luam Totti
+Federal University of
+Minas Gerais (UFMG)
+Belo Horizonte, MG, Brazil
+Felipe Costa
+Federal University of
+Minas Gerais (UFMG)
+Belo Horizonte, MG, Brazil
+Sandra Avila
+RECOD Lab., DCA / FEEC /
+UNICAMP
+Campinas, SP, Brazil
+Eduardo Valle
+RECOD Lab., DCA / FEEC /
+UNICAMP
+Campinas, SP, Brazil
+Wagner Meira Jr.
+Federal University of
+Minas Gerais (UFMG)"

+6cad008ad80081dc42752e813ee6924e3c174dc7,Does Facial Resemblance Enhance Cooperation?,"Does Facial Resemblance Enhance Cooperation?
+Trang Giang*, Raoul Bell*, Axel Buchner
+Department of Experimental Psychology, Heinrich Heine University Du¨ sseldorf, Du¨ sseldorf, Germany"

+6c304f3b9c3a711a0cca5c62ce221fb098dccff0,Attentive Semantic Video Generation Using Captions,"Attentive Semantic Video Generation using Captions
+Tanya Marwah∗
+IIT Hyderabad
+Gaurav Mittal∗
+Vineeth N. Balasubramanian
+IIT Hyderabad"

+6cb7648465ba7757ecc9c222ac1ab6402933d983,Visual Forecasting by Imitating Dynamics in Natural Sequences,"Visual Forecasting by Imitating Dynamics in Natural Sequences
+Kuo-Hao Zeng†‡ William B. Shen† De-An Huang† Min Sun‡ Juan Carlos Niebles†
+{khzeng, bshen88, dahuang,
+Stanford University ‡National Tsing Hua University"

+6c2b392b32b2fd0fe364b20c496fcf869eac0a98,Fully automatic face recognition framework based on local and global features,"DOI 10.1007/s00138-012-0423-7
+ORIGINAL PAPER
+Fully automatic face recognition framework based
+on local and global features
+Cong Geng · Xudong Jiang
+Received: 30 May 2011 / Revised: 21 February 2012 / Accepted: 29 February 2012 / Published online: 22 March 2012
+© Springer-Verlag 2012"

+6c4d5ac0eed17513e3ceacd396526b8ad6c8fc09,Learning to Learn by Exploiting Prior Knowledge,"Learning to Learn by Exploiting
+Prior Knowledge
+Thèse n. 5587
+à présenter le 07 November 2012
+à la Faculté des Sciences et Techniques de L'ingénieur
+laboratoire de L'Idiap
+programme doctoral en Génie Électrique
+École Polytechnique Fédérale de Lausanne
+pour l'obtention du grade de Docteur ès Sciences
+Tatiana Tommasi
+cceptée sur proposition du jury :
+Prof Dario Floreano, président du jury
+Prof Hervé Bourlard, directeur de thèse
+Dr Barbara Caputo, co-directeur de thèse
+Prof Jean-Philippe Thiran, rapporteur
+Prof Jim Little, rapporteur
+Dr Vittorio Ferrari, rapporteur
+Lausanne, EPFL, 2012"

+6c984bb3243f3b8d0afd8d90cd4ce85eb8f1dd3c,3D Ear Recognition System Using Neural Network Based Self Organizing Maps,"International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622
+International Conference on Humming Bird ( 01st March 2014)
+RESEARCH ARTICLE
+OPEN ACCESS
+D Ear Recognition System Using Neural Network Based Self
+Organizing Maps
+M.Sathish Babu1, Assistant Professor
+Email:
+Department of Computer Science and Engineering, Cape Institute of Technology."

+6c38ab65df4a1bf546f1426e8a7f2f5cb5f765d3,Pathological Tremor Detection From Video,"Pathological Tremor Detection From Video
+Xilin Li"

+6c518aabdbba2c073eab6a3bb4120023851e524c,Person Recognition System Based on a Combination of Body Images from Visible Light and Thermal Cameras,"Article
+Person Recognition System Based on a Combination
+of Body Images from Visible Light and
+Thermal Cameras
+Dat Tien Nguyen, Hyung Gil Hong, Ki Wan Kim and Kang Ryoung Park *
+Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu,
+Seoul 100-715, Korea; (D.T.N.); (H.G.H.);
+(K.W.K.)
+* Correspondence: Tel.: +82-10-3111-7022; Fax: +82-2-2277-8735
+Academic Editor: Vittorio M. N. Passaro
+Received: 5 January 2017; Accepted: 14 March 2017; Published: 16 March 2017"

+6c514a85b840c461cf6959927e6a34414e1e0f5e,Texture descriptors to distinguish radiation necrosis from recurrent brain tumors on multi-parametric MRI,"Medical Imaging 2014: Computer-Aided Diagnosis, edited by Stephen Aylward, Lubomir M. Hadjiiski,
+Proc. of SPIE Vol. 9035, 90352B · © 2014 SPIE · CCC code: 1605-7422/14/$18 · doi: 10.1117/12.2043969
+Proc. of SPIE Vol. 9035  90352B-1
+From: http://proceedings.spiedigitallibrary.org/ on 10/02/2014 Terms of Use: http://spiedl.org/terms"

+6cddc7e24c0581c50adef92d01bb3c73d8b80b41,Face Verification Using the LARK Representation,"Face Verification Using the LARK
+Representation
+Hae Jong Seo, Student Member, IEEE, Peyman Milanfar, Fellow, IEEE,"

+6cfc337069868568148f65732c52cbcef963f79d,Audio-Visual Speaker Localization via Weighted Clustering Israel -,"Audio-Visual Speaker Localization via Weighted
+Clustering
+Israel-Dejene Gebru, Xavier Alameda-Pineda, Radu Horaud, Florence Forbes
+To cite this version:
+Israel-Dejene Gebru, Xavier Alameda-Pineda, Radu Horaud, Florence Forbes. Audio-Visual Speaker
+Localization via Weighted Clustering. IEEE Workshop on Machine Learning for Signal Processing,
+Sep 2014, Reims, France. pp.1-6, 2014, <10.1109/MLSP.2014.6958874>. <hal-01053732>
+HAL Id: hal-01053732
+https://hal.archives-ouvertes.fr/hal-01053732
+Submitted on 11 Aug 2014
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+6cadbc0122376be3c249ecfec7de8247ffbc4fb3,Bidirectional Label Propagation over Graphs,"Int J Software Informatics, Volume 7, Issue 3 (2013), pp.419–433
+International Journal of Software and Informatics, ISSN 1673-7288
+(cid:176)2013 by ISCAS. All rights reserved.
+Tel: +86-10-62661040
+http://www.ijsi.org
+Email:
+Bidirectional Label Propagation over Graphs
+Wei Liu1 and Tongtao Zhang2
+(IBM T. J. Watson Research Center, Yorktown Heights, NY, USA)
+(Columbia University, New York, NY, USA)"

+6c24fed42d9a1ec283d2aa39a2dd768256a1a066,Swift: reducing the effects of latency in online video scrubbing,"Swift: Reducing the Effects of Latency in Online Video Scrubbing
+Justin Matejka, Tovi Grossman, George Fitzmaurice
+Autodesk Research, Toronto, Ontario, Canada
+Traditional Video Scrubbing
+Swift Video Scrubbing
+Figure 1. An illustration of the scrubbing behavior of a traditional streaming video player and the Swift player. With the
+Swift system a quick-to-download low resolution version of the video is displayed while scrubbing.
+tasks  which
+the  effects  of"

+6c22b549d854845c5d2f17d75417e4469e6d3f83,A robust face recognition algorithm for real-world applications,"A Robust Face Recognition
+Algorithm for
+Real-World Applications
+zur Erlangung des akademischen Grades eines
+Doktors der Ingenieurwissenschaften
+der Fakult¨at f¨ur Informatik
+der Universit¨at Fridericiana zu Karlsruhe (TH)
+genehmigte
+Dissertation
+Hazım Kemal Ekenel
+us Samsun, T¨urkei
+Tag der m¨undlichen Pr¨ufung: 02.02.2009
+Erster Gutachter:
+Prof. Dr. A. Waibel
+Zweiter Gutachter:
+Prof. Dr. J. Kittler"

+6cd96f2b63c6b6f33f15c0ea366e6003f512a951,A New Approach in Solving Illumination and Facial Expression Problems for Face Recognition,"A New Approach in Solving Illumination and Facial Expression Problems
+for Face Recognition
+Yee Wan Wong, Kah Phooi Seng, Li-Minn Ang
+The University of Nottingham Malaysia Campus
+Tel : 03-89248358, Fax : 03-89248017
+E-mail :
+Jalan Broga
+3500 Semenyih, Selangor"

+6c8c7065d1041146a3604cbe15c6207f486021ba,Attention Modeling for Face Recognition via Deep Learning,"Attention Modeling for Face Recognition via Deep Learning
+Sheng-hua Zhong
+Department of Computing, Hung Hom, Kowloon
+Hong Kong, 999077 CHINA
+Yan Liu
+Department of Computing, Hung Hom, Kowloon
+Hong Kong, 99907 CHINA
+Yao Zhang
+Department of Computing, Hung Hom, Kowloon
+Hong Kong, 99907 CHINA
+Fu-lai Chung
+Department of Computing, Hung Hom, Kowloon
+Hong Kong, 99907 CHINA"

+6cd762e7cb1301abd0ddbb265dd9c7661ffc0458,On optimal low rank Tucker approximation for tensors: the case for an adjustable core size,"On Optimal Low Rank Tucker Approximation for Tensors:
+The Case for an Adjustable Core Size
+Bilian CHEN ∗
+Zhening LI †
+Shuzhong ZHANG ‡
+August 7, 2014"

+6cd7a47bbba11a994cd8e68ee5eae2fcb0033054,Driving in the Matrix: Can virtual worlds replace human-generated annotations for real world tasks?,"Driving in the Matrix: Can Virtual Worlds Replace Human-Generated
+Annotations for Real World Tasks?
+Matthew Johnson-Roberson1, Charles Barto2, Rounak Mehta3, Sharath Nittur Sridhar2, and Ram Vasudevan4"

+3965d73c9d7c97cdb391bfd86a15bfd3534cbd32,Deep Learning for Visual Question Answering,"Deep Learning for Visual Question Answering
+Avi Singh"

+39803a9c075d543e19384d79fb4c36b207892179,Regression Techniques versus Discriminative Methods for Face Recognition,"Regression Techniques versus Discriminative Methods for Face
+Recognition
+Vitomir ˇStruc, France Miheliˇc, Rok Gajˇsek and Nikola Paveˇsi´c"

+3917bf2cc075ef075d9c879fc9ec3349ea116735,Discriminant Analysis by Locally Linear Transformations,"Discriminant Analysis by Locally Linear
+Transformations
+Tae-Kyun Kim1,2, Josef Kittler2, Hyun-Chul Kim3, and Seok Cheol Kee1
+: Samsung Advanced Institute of Technology, KOREA
+: Center for Vision, Speech and Signal Processing, University of
+Surrey,U.K.
+: Pohang University of Science and Technology, KOREA"

+390f3d7cdf1ce127ecca65afa2e24c563e9db93b,Learning Deep Representation for Face Alignment with Auxiliary Attributes,"Learning Deep Representation for Face
+Alignment with Auxiliary Attributes
+Zhanpeng Zhang, Ping Luo, Chen Change Loy, Member, IEEE and Xiaoou Tang, Fellow, IEEE"

+39ed31ced75e6151dde41944a47b4bdf324f922b,Pose-Guided Photorealistic Face Rotation,"Pose-Guided Photorealistic Face Rotation
+Yibo Hu1,2, Xiang Wu1, Bing Yu3, Ran He1,2 ∗, Zhenan Sun1,2
+CRIPAC & NLPR & CEBSIT, CASIA 2University of Chinese Academy of Sciences
+Noah’s Ark Laboratory, Huawei Technologies Co., Ltd.
+{yibo.hu, {rhe,"

+3918dcfddf2da218a615dd8f008f6fce436e06f7,Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning,"Int J Comput Vis manuscript No.
+(will be inserted by the editor)
+Learning Sight from Sound:
+Ambient Sound Provides Supervision for Visual Learning
+Andrew Owens · Jiajun Wu · Josh H. McDermott · William T. Freeman ·
+Antonio Torralba
+Received: date / Accepted: date"

+3918b425bb9259ddff9eca33e5d47bde46bd40aa,Learning Language from Ambiguous Perceptual Context,"Copyright
+David Lieh-Chiang Chen"

+39675124e4fe1be08f42bdd2e1e237e5a87839ba,"Adversarial Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation","Adversarial Collaboration: Joint Unsupervised
+Learning of Depth, Camera Motion, Optical
+Flow and Motion Segmentation
+Anurag Ranjan1
+Varun Jampani2
+Kihwan Kim 2
+Deqing Sun 2
+Jonas Wulff 1
+Michael J. Black1
+Max Planck Institute for Intelligent Systems
+NVIDIA Research
+{aranjan, jwulff,
+{vjampani, kihwank,"

+39df6ca15f41e5a674ed8cd1654e699dbc8b8c11,Human tracking over camera networks: a review,"Hou et al. EURASIP Journal on Advances in Signal Processing  (2017) 2017:43
+DOI 10.1186/s13634-017-0482-z
+EURASIP Journal on Advances
+in Signal Processing
+R EV I E W
+Human tracking over camera networks: a
+review
+Li Hou1,2,3*, Wanggen Wan1,3, Jenq-Neng Hwang4, Rizwan Muhammad1,3, Mingyang Yang1,3 and Kang Han1,3
+Open Access"

+39d900da87fa2f8987567d22a924fb7674f9be67,Generating Notifications for Missing Actions: Don't Forget to Turn the Lights Off!,"Generating Notifications for Missing Actions:
+Don’t forget to turn the lights off!
+Bilge Soran*, Ali Farhadi*†, Linda Shapiro*
+*University of Washington
+Allen Institute for Artificial Intelligence
+{bilge, ali,
+Figure 1: Our purpose is to issue notifications about missing actions given an unsegmented input stream of egocentric video.
+For the latte making sequence above, our system recognizes the actions that happened so far, predicts the ongoing action,
+reasons about missing actions and the associated cost, and generates notifications for the costly missing actions. In this figure,
+the brackets refer to segmented action boundaries, the blue arrows show the prediction points and the graphs below show the
+inter-action dependencies. The most recently completed action is marked in red, the predicted action is marked in blue, and
+the missing action is marked in orange. In this example, the actor is about to miss an important action: steam milk, and a
+reminder for that is given."

+39d406df1823aad167a429f60ae8f1d3dc4250fa,Scaling for Multimodal 3D Object Detection,"Scaling for Multimodal 3D Object Detection
+Andrej Karpathy
+Stanford"

+397400dd7c31e47f8dec20a742695abed297a150,An integrated vision-based architecture for home security system,"An Integrated Vision-based Architecture for Home
+Security System
+John See, Student Member, IEEE, and Sze-Wei Lee, Member, IEEE"

+39b080aea9b342947058884ca25fb5bb1b8f6d66,Fully Automated and Highly Accurate Dense Correspondence for Facial Surfaces,"Fully Automated and Highly Accurate Dense
+Correspondence for Facial Surfaces
+C. Martin Grewe and Stefan Zachow
+Mathematics for Life and Materials Sciences,
+Zuse Institute Berlin, Germany
+Fig. 1: Two facial expressions (a,b) from our database set into dense correspon-
+dence using the proposed framework. High geometric and photometric details are
+ccurately morphed between both expressions via a dense corresponding mesh."

+39d08fa8b028217384daeb3e622848451809a422,Variational Approaches for Auto-Encoding Generative Adversarial Networks,"Variational Approaches for Auto-Encoding
+Generative Adversarial Networks
+Mihaela Rosca∗ Balaji Lakshminarayanan∗ David Warde-Farley
+Shakir Mohamed
+DeepMind"

+3998c5aa6be58cce8cb65a64cb168864093a9a3e,Understanding head and hand activities and coordination in naturalistic driving videos,Intelligent Vehicles Symposium 2014

+39fc0fe46ddf43f13073cbab077d981547889dc1,Using Gradient Features from Scale-invariant Keypoints on Face Recognition,"International Journal of Innovative
+Computing, Information and Control
+Volume 7, Number 4, April 2011
+ICIC International c⃝2011 ISSN 1349-4198
+pp. 1639{1649
+USING GRADIENT FEATURES FROM SCALE-INVARIANT
+KEYPOINTS ON FACE RECOGNITION
+Shinfeng D. Lin, Jia-Hong Lin and Cheng-Chin Chiang
+Department of Computer Science and Information Engineering
+National Dong Hwa University
+No. 1, Sec. 2, Da Hsueh Rd., Shoufeng, Hualien 97401, Taiwan
+f david; bbmac;
+Received November 2009; revised March 2010"

+39dc2ce4cce737e78010642048b6ed1b71e8ac2f,Recognition of six basic facial expressions by feature-points tracking using RBF neural network and fuzzy inference system,"Recognition of Six Basic Facial Expressions by Feature-Points Tracking using
+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"

+39a76fdc4b2d4b9e8ef8f69a87d17ae930520acc,Occlusion-Aware Human Pose Estimation with Mixtures of Sub-Trees,"Occlusion-Aware Human Pose Estimation with
+Mixtures of Sub-Trees
+Ibrahim Radwan∗, Abhinav Dhall and Roland Goecke"

+397fffa6f785762acb3cd3c96c4c6b65058b816f,Modeling mutual context of object and human pose in human-object interaction activities,"Modeling Mutual Context of Object and
+Human Pose in Human-object Interaction
+Activities
+•  Bangpeng Yao
+•  Li Fei-Fei
+Presented by Sahil Shah"

+3907d83f14ba9e2b8a93c3f02b04ca0b81901c4b,Semantic segmentation - using Convolutional Neural Networks and Sparse Dictionaries,"Master of Science Thesis in Electrical Engineering
+Department of Electrical Engineering, Linköping University, 2017
+Semantic segmentation
+- using Convolutional Neural Networks
+nd Sparse Dictionaries
+Viktor Andersson"

+391e52ac04408d3e6496614ffafd6ac89c1b6c45,Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models,"Seeing 3D chairs: exemplar part-based 2D-3D alignment
+using a large dataset of CAD models
+Mathieu Aubry1,∗ Daniel Maturana2 Alexei A. Efros3,∗ Bryan C. Russell4
+Josef Sivic1,∗
+INRIA 2Carnegie Mellon University
+UC Berkeley
+Intel Labs"

+390e212d4a874d8d2256e55fe0dee9193e4c376a,Just in Time: Controlling Temporal Performance in Crowdsourcing Competitions,"Just in Time: Controlling Temporal Performance in
+Crowdsourcing Competitions
+Markus Rokicki
+L3S Research Center,
+Hannover, Germany
+Electronics and Computer
+Science, University of
+Southampton, Southampton,
+Sergej Zerr"

+399ab5652908d99a5be1a664425f6463f67df2aa,Mechanisms of Diminished Attention to Eyes in Autism.,"Mechanisms of diminished attention to eyes in
+utism
+Jennifer M. Moriuchi, Emory University
+Ami Klin, Emory University
+Warren R Jones, Emory University
+Journal Title: American Journal of Psychiatry
+Volume: Volume 174, Number 1
+Publisher: American Psychiatric Publishing | 2017-01-01, Pages 26-35
+Type of Work: Article | Post-print: After Peer Review
+Publisher DOI: 10.1176/appi.ajp.2016.15091222
+Permanent URL: https://pid.emory.edu/ark:/25593/s8mpz
+Final published version: http://dx.doi.org/10.1176/appi.ajp.2016.15091222
+Copyright information:
+018 American Psychiatric Association
+Accessed June 11, 2018 8:03 PM EDT"

+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"

+39bce1d5e4b31a555f12f0a44e92abcad73aab4f,"Explorer "" Here ' s looking at you , kid ""","""Here's looking at you, kid""
+Citation for published version:
+Marin-Jimenez, M, Zisserman, A & Ferrari, V 2011, ""Here's looking at you, kid"": Detecting people looking at
+each other in videos. in Proceedings of the British Machine Vision Conference (BMVC): Dundee, September
+011. BMVA Press, pp. 22.1-22.12. DOI: 10.5244/C.25.22
+Digital Object Identifier (DOI):
+0.5244/C.25.22
+Link:
+Link to publication record in Edinburgh Research Explorer
+Document Version:
+Peer reviewed version
+Published In:
+Proceedings of the British Machine Vision Conference (BMVC)
+General rights
+Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s)
+nd / or other copyright owners and it is a condition of accessing these publications that users recognise and
+bide by the legal requirements associated with these rights.
+Take down policy
+The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer
+ontent complies with UK legislation. If you believe that the public display of this file breaches copyright please"

+3986161c20c08fb4b9b791b57198b012519ea58b,An Efficient Method for Face Recognition based on Fusion of Global and Local Feature Extraction,"International Journal of Soft Computing and Engineering (IJSCE)
+ISSN: 2231-2307, Volume-4 Issue-4, September 2014
+An Efficient Method for Face Recognition based on
+Fusion of Global and Local Feature Extraction
+E. Gomathi, K. Baskaran"

+3988ed2b900af26c07432d0f9f3c2679f3c532ac,Vision Meets Drones: A Challenge,"Vision Meets Drones: A Challenge
+Pengfei Zhu, Longyin Wen, Xiao Bian, Haibin Ling and Qinghua Hu"

+398ad0036b899aec04502c243dd129c1f3e4c21e,Object detection using voting spaces trained by few samples,"Downloaded From: https://www.spiedigitallibrary.org/journals/Optical-Engineering on 12/17/2017 Terms of Use: https://www.spiedigitallibrary.org/terms-of-use
+ObjectdetectionusingvotingspacestrainedbyfewsamplesPeiXuMaoYeXueLiLishenPeiPengweiJiao"

+3910b1cc849f999dc8a2c02a0313be32dd5d2b43,A Systematic Comparison of Deep Learning Architectures in an Autonomous Vehicle,"A Systematic Comparison of Deep Learning Architectures in an
+Autonomous Vehicle
+Michael Teti1†, William Edward Hahn1, Shawn Martin2, Christopher Teti3, and Elan Barenholtz1
+such tasks, or an attempt
+largely due to recent developments"

+395978c1dee9fd75bbcb249e74ad6fb4d3c2b9fc,A Reliable Hybrid Technique for Human Face Detection,"Hakim A., Marsland S. and W. Guesgen H. (2010).
+A RELIABLE HYBRID TECHNIQUE FOR HUMAN FACE DETECTION.
+In Proceedings of the International Conference on Computer Vision Theory and Applications, pages 241-244
+Copyright c(cid:13) SciTePress"

+395dadff1eab9c8177f843326ec864567342eba5,Vision-Based People Detection System for Heavy Machine Applications,"Article
+Vision-Based People Detection System for Heavy
+Machine Applications
+Vincent Fremont 1,*, Manh Tuan Bui 1, Djamal Boukerroui 1 and Pierrick Letort 2
+Received: 12 October 2015; Accepted: 13 January 2016; Published: 20 January 2016
+Academic Editor: Vittorio M. N. Passaro
+Sorbonne Universités, Université de Technologie de Compiègne, CNRS, UMR 7253,
+Heudiasyc-CS 60 319, 60 203 Compiègne Cedex, France; (M.T.B.);
+(D.B.)
+Technical Center for the Mechanical Industry (CETIM), 60300 Senlis, France;
+* Correspondence: Tel.: +33-344-237-917; Fax: +33-344-234-477"

+39b0bce87eec467adfe5bebcfe628ff5bd397fc7,"R4-A.2: Rapid Similarity Prediction, Forensic Search & Retrieval in Video","R4-A.2: Rapid Similarity Prediction, Forensic
+Search & Retrieval in Video
+PARTICIPANTS
+Venkatesh Saligrama
+David Castañón
+Ziming Zhang
+Gregory Castañón
+Yuting Chen
+Marc Eder
+Faculty/Staff
+Institution
+Title
+Co-PI
+Co-PI
+Post-Doc
+Graduate, Undergraduate and REU Students
+Degree Pursued
+Institution
+Email
+Month/Year of Graduation"

+399a5f7500648462fd8cf1704dfaeaea9d560e7e,Spoof Detection for Finger-Vein Recognition System Using NIR Camera,"Article
+Spoof Detection for Finger-Vein Recognition System
+Using NIR Camera
+Dat Tien Nguyen, Hyo Sik Yoon, Tuyen Danh Pham and Kang Ryoung Park *
+Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu,
+Seoul 100-715, Korea; (D.T.N.); (H.S.Y.);
+(T.D.P.)
+* Correspondence: Tel.: +82-10-3111-7022; Fax: +82-2-2277-8735
+Received: 15 August 2017; Accepted: 27 September 2017; Published: 1 October 2017"

+392c3cabe516c0108b478152902a9eee94f4c81e,Tiny images,"Computer Science and Artificial Intelligence Laboratory
+Technical Report
+MIT-CSAIL-TR-2007-024
+April 23, 2007
+Tiny images
+Antonio Torralba, Rob Fergus, and William T. Freeman
+m a s s a c h u s e t t s   i n s t i t u t e   o f   t e c h n o l o g y,   c a m b r i d g e ,   m a   0 213 9   u s a   —   w w w. c s a i l . m i t . e d u"

+39e7ac344b17d97267ec80681aeded17e3e6d786,Joint Parsing of Cross-view Scenes with Spatio-temporal Semantic Parse Graphs,"Joint Parsing of Cross-view Scenes with Spatio-temporal Semantic Parse Graphs∗
+Hang Qi1∗, Yuanlu Xu1∗, Tao Yuan1∗, Tianfu Wu2, Song-Chun Zhu1
+Dept. Computer Science and Statistics, University of California, Los Angeles (UCLA)
+{hangqi, tianfu
+Dept. Electrical and Computer Engineering, NC State University"

+39db2ff704cc30a7e94989de33ff4290ea4a6df1,Low-Cost Visual Feature Representations For Image Retrieval,"Low-Cost Visual Feature Representations For Image
+Retrieval
+Ramon F. Pessoa, William R. Schwartz, Jefersson A. dos Santos
+Department of Computer Science
+Universidade Federal de Minas Gerais (UFMG)
+Belo Horizonte - Minas Gerais, Brazil, 31270-901
+Email: {ramon.pessoa, william,"

+39a19a687b3182054b30f36f627bc6875b09dbd3,A new boostrapping strategy for the AdaBoost-based face detector T.-J. Chin and D. Suter A new boostrapping strategy for the AdaBoost-based face detector,"Department of Electrical
+Computer Systems Engineering
+Technical Report
+MECSE-13-2005
+A new boostrapping strategy for the AdaBoost-based face
+detector
+T.-J. Chin and D. Suter"

+39340257d9a478b3c3b736ad31df1c0a6a78c851,Parts-based object recognition seeded by frequency-tuned saliency for child detection in active safety,"Parts-based object recognition seeded by frequency-tuned saliency for
+Child Detection in Active Safety
+Shinko Y. Cheng, Jose Molineros, Yuri Owechko
+HRL Laboratories, LLC
+011 Malibu Canyon Road
+Malibu CA 90265"

+3964caa0a1d788eb30365972880f83b71df1ab21,Multi-Modal Obstacle Detection in Unstructured Environments with Conditional Random Fields,"Multi-Modal Obstacle Detection in Unstructured
+Environments with Conditional Random Fields
+Mikkel Kragh1 and James Underwood2"

+39df4f8ad7add3863208a5f7b71e22ed1970ca58,Bayesian Supervised Dictionary learning‎,"Bayesian Supervised Dictionary learning
+B. Babagholami-Mohamadabadi
+A. Jourabloo
+M. Zolfaghari
+M.T. Manzuri-Shalmani
+CE Dept.
+Sharif University
+Tehran, Iran
+CE Dept.
+Sharif University
+Tehran, Iran
+CE Dept.
+Sharif University
+Tehran, Iran
+CE Dept.
+Sharif University
+Tehran, Iran"

+397c395aed9d96aef064b9ceb9f0eae9421eb00a,An Evaluation of the Pedestrian Classification in a Multi-Domain Multi-Modality Setup,"Sensors 2015, 15, 13851-13873; doi:10.3390/s150613851
+OPEN ACCESS
+sensors
+ISSN 1424-8220
+www.mdpi.com/journal/sensors
+Article
+An Evaluation of the Pedestrian Classification in
+Multi-Domain Multi-Modality Setup
+Alina Miron 1,*, Alexandrina Rogozan 2, Samia Ainouz 2, Abdelaziz Bensrhair 2
+nd Alberto Broggi 3
+ISR Laboratory, University of Reading, Reading RG6 6AY, UK
+INSA Rouen/LITIS laboratory - EA4108, Saint-Etienne du Rouvray 76801, France;
+E-Mails: (A.R.); (S.A.);
+(A.B.)
+VisLab, University of Parma, Parco Area delle Scienze 181A, 43100 Parma, Italy;
+E-Mail:
+* Author to whom correspondence should be addressed; E-Mail:
+Tel.: +44-118-378-7631.
+Academic Editor: Vittorio M.N. Passaro
+Received: 2 April 2015 / Accepted: 8 June 2015 / Published: 12 June 2015"

+3933e323653ff27e68c3458d245b47e3e37f52fd,Evaluation of a 3 D-aided Pose Invariant 2 D Face Recognition System,"Evaluation of a 3D-aided Pose Invariant 2D Face Recognition System
+Xiang Xu, Ha A. Le, Pengfei Dou, Yuhang Wu, Ioannis A. Kakadiaris
+{xxu18, hale4, pdou, ywu35,
+Computational Biomedicine Lab
+800 Calhoun Rd. Houston, TX, USA"

+3903cbd56446436a4a3b8443c26c90fc1b69f5e0,Event driven software architecture for multi-camera and distributed surveillance research systems,"Event Driven Software Architecture for Multi-camera and Distributed
+Surveillance Research Systems
+Roberto Vezzani, Rita Cucchiara
+University of Modena and Reggio Emilia - Italy"

+3958db5769c927cfc2a9e4d1ee33ecfba86fe054,Describable Visual Attributes for Face Verification and Image Search,"Describable Visual Attributes for
+Face Verification and Image Search
+Neeraj Kumar, Student Member, IEEE, Alexander C. Berg, Member, IEEE,
+Peter N. Belhumeur, and Shree K. Nayar, Member, IEEE"

+99ced8f36d66dce20d121f3a29f52d8b27a1da6c,Organizing Multimedia Data in Video Surveillance Systems Based on Face Verification with Convolutional Neural Networks,"Organizing Multimedia Data in Video
+Surveillance Systems Based on Face Verification
+with Convolutional Neural Networks
+Anastasiia D. Sokolova, Angelina S. Kharchevnikova, Andrey V. Savchenko
+National Research University Higher School of Economics, Nizhny Novgorod, Russian
+Federation"

+994f7c469219ccce59c89badf93c0661aae34264,Model Based Face Recognition Across Facial Expressions,"Model Based Face Recognition Across Facial
+Expressions
+Zahid Riaz, Christoph Mayer, Matthias Wimmer, and Bernd Radig, Senior Member, IEEE
+screens,  embedded  into  mobiles  and  installed  into  everyday
+living  and  working  environments  they  become  valuable  tools
+for human system interaction. A particular important aspect of
+this  interaction  is  detection  and  recognition  of  faces  and
+interpretation  of  facial  expressions.  These  capabilities  are
+deeply  rooted  in  the  human  visual  system  and  a  crucial
+uilding  block  for  social  interaction.  Consequently,  these
+apabilities  are  an  important  step  towards  the  acceptance  of
+many technical systems.
+trees  as  a  classifier
+lies  not  only"

+9949ac42f39aeb7534b3478a21a31bc37fe2ffe3,Parametric Stereo for Multi-pose Face Recognition and 3D-Face Modeling,"Parametric Stereo for Multi-Pose Face Recognition and
+D-Face Modeling
+Rik Fransens, Christoph Strecha, Luc Van Gool
+PSI ESAT-KUL
+Leuven, Belgium"

+9900be092f81547ad71e4124cd850048e1969063,3D Face Analysis for Facial Expression Recognition,"Author manuscript, published in ""20th International Conference on Pattern Recognition (ICPR 2010), Istanbul : Turquie (2010)"""

+9958942a0b7832e0774708a832d8b7d1a5d287ae,The Sparse Matrix Transform for Covariance Estimation and Analysis of High Dimensional Signals,"The Sparse Matrix Transform for Covariance
+Estimation and Analysis of High Dimensional
+Signals
+Guangzhi Cao*, Member, IEEE, Leonardo R. Bachega, and Charles A. Bouman, Fellow, IEEE"

+99582ce8439dce17d9d6f74eb54fc5c89dbe06d9,"Hough Forests for Object Detection, Tracking, and Action Recognition","Hough Forests for Object Detection, Tracking,
+nd Action Recognition
+Juergen Gall Member, IEEE, Angela Yao, Nima Razavi, Luc Van Gool Member, IEEE, and
+Victor Lempitsky"

+99726ad232cef837f37914b63de70d8c5101f4e2,Facial Expression Recognition Using PCA & Distance Classifier,"International Journal of Scientific & Engineering Research, Volume 5, Issue 5, May-2014                                                                                                      570
+ISSN 2229-5518
+Facial Expression Recognition Using PCA & Distance Classifier
+AlpeshKumar Dauda*
+Dept. of Electronics & Telecomm. Engg.
+Ph.D Scholar,VSSUT
+BURLA, ODISHA, INDIA
+Nilamani Bhoi
+Reader in Dept. of Electronics & Telecomm. Engg.
+VEER SURENDRA SAI UNIVERSITY OF
+TECHNOLOGY
+BURLA, ODISHA, INDIA"

+998e829cc72080c88a780f322d6bf7ab78dbd743,Towards Real-Time Multiresolution Face/Head Detection,"´AAAAAAAAAAAAAAAAAAAAAAAA
+´AAAAAAAAAAAAAAAAAAAAAAAA
+ART´ICULO
+Towards Real-Time Multiresolution Face/Head
+Detection*
+M. Castrill´on-Santana, H. Kruppa**, C. Guerra-Artal, M. Hern´andez-Tejera
+Universidad de Las Palmas de Gran Canaria
+Instituto Universitario de Sistemas Inteligentes
+y Aplicaciones Num´ericas en Ingenier´ıa
+Edificio Central del Parque Cient´ıfico-Tecnol´ogico
+Campus Universitario de Tafira
+5017 Las Palmas - Espa˜na"

+99a3a4151abbc2e5d33d4beec88dc55a057df299,Topological analysis of discrete scalar data,"TOPOLOGICAL ANALYSIS OF
+DISCRETE SCALAR DATA
+DAVID GÜNTHER
+DISSERTATION ZUR ERLANGUNG DES GRADES
+DES DOKTORS DER INGENIEURWISSENSCHAFTEN
+DER NATURWISSENSCHAFTLICH-TECHNISCHEN FAKULTÄTEN
+DER UNIVERSITÄT DES SAARLANDES
+SAARBRÜCKEN, 2012"

+99e1fd6a378209d48c12a70229e4f6d4d83f4417,Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs,"Modular Vehicle Control for Transferring Semantic
+Information Between Weather Conditions Using
+Patrick Wenzel1,2∗
+, Qadeer Khan1,2∗
+, Daniel Cremers1,2, and Laura Leal-Taixé1
+Technical University of Munich
+Artisense"

+99e1ab1fb08af137cad6efbc0454c6e1e68dca51,3D human action recognition and motion analysis using selective representations,"D HUMAN ACTION RECOGNITION
+AND MOTION ANALYSIS USING
+SELECTIVE REPRESENTATIONS
+D LEIGHTLEY
+PhD  2015"

+99f565df31ef710a2d8a1b606e3b7f5f92ab657c,Geometry Score: A Method For Comparing Generative Adversarial Networks,"Geometry Score: A Method For Comparing Generative Adversarial Networks
+Valentin Khrulkov 1 Ivan Oseledets 1 2"

+99b7ff97ad54308b816e47d9bbf6704b787b8f52,Causal Flow,"Causal Flow
+Yuya Yamashita, Tatsuya Harada, Member, IEEE, and Yasuo Kuniyoshi, Member, IEEE"

+99df887213407f612c1f5df502b637709a29cd6b,Ensembles of exemplar-SVMs for video face recognition from a single sample per person,"Ensembles of Exemplar-SVMs for Video Face Recognition from a
+Single Sample Per Person
+Saman Bashbaghi, Eric Granger, Robert Sabourin
+Guillaume-Alexandre Bilodeau
+Laboratoire d’imagerie de vision et d’intelligence artificielle
+LITIV Lab
+École de technologie supérieure, Université du Québec, Montréal, Canada
+Polytechnique Montréal, Montréal, Canada
+{eric.granger,"

+99cb716cd7687db8ef3d0403c85b1ab90869800f,Face Recognition under Pose and Expresivity Variation Using Thermal and Visible Images,"FACE RECOGNITION UNDER POSE AND EXPRESIVITY
+VARIATION USING THERMAL AND VISIBLE IMAGES
+Florin Marius Pop, Mihaela Gordan, Camelia Florea, Aurel Vlaicu
+Centre for Multimedia Technologies and Distance Education
+Technical University of Cluj-Napoca, Romania
+{Mihaela.Gordan, Camelia.Florea,"

+9993f1a7cfb5b0078f339b9a6bfa341da76a3168,"A Simple, Fast and Highly-Accurate Algorithm to Recover 3D Shape from 2D Landmarks on a Single Image","JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+A Simple, Fast and Highly-Accurate Algorithm to
+Recover 3D Shape from 2D Landmarks on a Single
+Image
+Ruiqi Zhao, Yan Wang, Aleix M. Martinez"

+992ebd81eb448d1eef846bfc416fc929beb7d28b,Exemplar-Based Face Parsing Supplementary Material,"Exemplar-Based Face Parsing
+Supplementary Material
+Brandon M. Smith Li Zhang
+Jonathan Brandt Zhe Lin Jianchao Yang
+University of Wisconsin–Madison
+Adobe Research
+http://www.cs.wisc.edu/~lizhang/projects/face-parsing/
+. Additional Selected Results
+Figures 1 and 2 supplement Figure 4 in our paper. In all cases, the input images come from our Helen [1] test set. We note
+that our algorithm generally produces accurate results, as shown in Figures 1. However, our algorithm is not perfect and makes
+mistakes on especially challenging input images, as shown in Figure 2.
+In our view, the mouth is the most challenging region of the face to segment: the shape and appearance of the lips vary
+widely from subject to subject, mouths deform significantly, and the overall appearance of the mouth region changes depending
+on whether the inside of the mouth is visible or not. Unusual mouth expressions, like those shown in Figure 2, are not repre-
+sented well in the exemplar images, which results in poor label transfer from the top exemplars to the test image. Despite these
+hallenges, our algorithm generally performs well on the mouth, with large segmentation errors occurring infrequently.
+. Comparisons with Liu et al. [2]
+The scene parsing approach by Liu et al. [2] shares sevaral similarities with our work. Like our approach, they propose a
+nonparametric system that transfers labels from exemplars in a database to annotate a test image. This begs the question, Why
+not simply apply the approach from Liu et al. to face images?"

+998b7c8608fb9f80177ce54230761d8c3d82b2da,SHEF-Multimodal: Grounding Machine Translation on Images,"Proceedings of the First Conference on Machine Translation, Volume 2: Shared Task Papers, pages 660–665,
+Berlin, Germany, August 11-12, 2016. c(cid:13)2016 Association for Computational Linguistics"

+9941a408ae031d1254bbc0fe7a63fac5f85fe347,Neural Processes,"Neural Processes
+Marta Garnelo 1 Jonathan Schwarz 1 Dan Rosenbaum 1 Fabio Viola 1 Danilo J. Rezende 1 S. M. Ali Eslami 1
+Yee Whye Teh 1"

+9963af1199679e176f0836e6d63572b3a69fa7da,23 Generating Facial Expressions with Deep Belief Nets,"We are IntechOpen,
+the world’s leading publisher of
+Open Access books
+Built by scientists, for scientists
+,500
+08,000
+.7 M
+Open access books available
+International  authors and editors
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+Countries delivered to
+TOP 1%
+2.2%
+most cited scientists
+Contributors from top 500 universities
+Selection of our books indexed in the Book Citation Index
+in Web of Science™ Core Collection (BKCI)
+Interested in publishing with us?
+Contact"

+998f2cfb4a3bac6b38d8a4a96a3827e06a0eaadb,Geo-Supervised Visual Depth Prediction,"Geo-Supervised Visual Depth Prediction
+Xiaohan Fei
+Alex Wong
+Stefano Soatto"

+99c20eb5433ed27e70881d026d1dbe378a12b342,Semi-Supervised and Unsupervised Data Extraction Targeting Speakers: From Speaker Roles to Fame?,"ISCA Archive
+http://www.isca-speech.org/archive
+First Workshop on Speech, Language
+nd Audio in Multimedia
+Marseille, France
+August 22-23, 2013
+Proceedings of the First Workshop on Speech, Language and Audio in Multimedia (SLAM), Marseille, France, August 22-23, 2013."

+99d3bc6d62675297693e5e57ff0770e7017f9637,Hierarchical Invariant Feature Learning with Marginalization for Person Re-Identification,"Hierarchical Invariant Feature Learning with
+Marginalization for Person Re-Identification
+Rahul Rama Varior, Student Member, IEEE, Gang Wang, Member, IEEE"

+9990e0b05f34b586ffccdc89de2f8b0e5d427067,Auto - Optimized Multimodal Expression Recognition Framework Using 3 D Kinect Data for ASD Therapeutic Aid,"International Journal of Modeling and Optimization, Vol. 3, No. 2, April 2013
+Auto-Optimized Multimodal Expression Recognition
+Framework Using 3D Kinect Data for ASD Therapeutic
+Amira E. Youssef, Sherin F. Aly, Ahmed S. Ibrahim, and A. Lynn Abbott
+regarding
+emotion
+recognize"

+99d7678039ad96ee29ab520ff114bb8021222a91,Political image analysis with deep neural networks,"Political image analysis with deep neural
+networks
+L. Jason Anastasopoulos∗
+Shiry Ginosar§.
+Dhruvil Badani†
+Jake Ryland Williams¶
+Crystal Lee‡
+November 28, 2017"

+9922a2ec8dfb307bb1fcb334098fd912e23b3bab,Particle-based pedestrian path prediction using LSTM-MDL models,"Particle-based Pedestrian Path Prediction using LSTM-MDL Models
+Ronny Hug∗, Stefan Becker∗, Wolfgang H¨ubner∗ and Michael Arens∗"

+99ae92bae7c873432a6a60238b33d494bbae13eb,Recognition of Human Pose from Images Based on Graph Spectra,"RECOGNITION OF HUMAN POSE FROM IMAGES BASED ON GRAPH SPECTRA
+A. A. Zakharov a *, A. E. Barinov a, A. L. Zhiznyakov a
+Murom Institut Vladimir State University, CAD Department, , 602264, Orlovskaya 23, Murom, Russian Federation, aa-
+Commission VI, WG VI/4
+KEY WORDS: Image Recognition, Human Pose, Spectral Graph Matching"

+99227909e5733d76b0d50fc3fab975ab7a43fce3,A Cascaded Inception of Inception Network with Attention Modulated Feature Fusion for Human Pose Estimation,"A Cascaded Inception of Inception Network with Attention Modulated Feature
+Fusion for Human Pose Estimation
+Submission ID: 2065"

+522fab628aab972f39835521e31564b4b6c64fe5,Vehicle Classification on Low-resolution and Occluded images: A low-cost labeled dataset for augmentation,"Vehicle Classification on Low-resolution and
+Occluded images: A low-cost labeled dataset for
+ugmentation
+Anonymous Author(s)
+Affiliation
+Address
+email"

+52012b4ecb78f6b4b9ea496be98bcfe0944353cd,Using Support Vector Machine and Local Binary Pattern for Facial Expression Recognition,"JOURNAL OF COMPUTATION IN BIOSCIENCES AND ENGINEERING
+Journal homepage: http://scienceq.org/Journals/JCLS.php
+Research Article
+Using  Support  Vector  Machine  and  Local  Binary  Pattern  for  Facial  Expression
+Recognition
+Open Access
+Ayeni Olaniyi Abiodun 1, Alese Boniface Kayode1, Dada Olabisi Matemilayo2
+1. Department of Computer Science, Federal University Technology Akure, PMB 704, Akure, Nigeria.
+. Department of computer science, Kwara state polytechnic Ilorin, Kwara-State, Nigeria.
+. *Corresponding author:  Ayeni Olaniyi Abiodun  Mail Id:
+Received:    September 22, 2015, Accepted: December 14, 2015, Published: December 14, 2015."

+5293960de53b0118ef3c8b410d27b23b9cec9bf7,Online Multi-Object Tracking with Dual Matching Attention Networks,"Online Multi-Object Tracking with
+Dual Matching Attention Networks
+Ji Zhu1,2, Hua Yang1(cid:63), Nian Liu3, Minyoung Kim4,
+Wenjun Zhang1, and Ming-Hsuan Yang5,6
+Northwestern Polytechnical University 4Massachusetts Institute of Technology
+Shanghai Jiao Tong University 2Visbody Inc
+5University of California, Merced 6Google Inc
+{jizhu1023,"

+527cc8cd2af06a9ac2e5cded806bab5c3faad9cf,Abnormal Event Detection in Videos Using Spatiotemporal Autoencoder,"Abnormal Event Detection in Videos
+using Spatiotemporal Autoencoder
+Yong Shean Chong
+Yong Haur Tay
+Lee Kong Chian Faculty of Engineering Science,
+Universiti Tunku Abdul Rahman, 43000 Kajang, Malaysia.
+January 9, 2017"

+529e2ce6fb362bfce02d6d9a9e5de635bde81191,Normalization of Face Illumination Based on Large-and Small-Scale Features,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.
+> TIP-05732-2009<
+Normalization of Face Illumination Based
+on Large- and Small- Scale Features
+Xiaohua Xie, Wei-Shi Zheng, Member, IEEE, Jianhuang Lai*, Member, IEEE
+Pong C. Yuen, Member, IEEE, Ching Y. Suen, IEEE Fellow"

+52887969107956d59e1218abb84a1f834a314578,Travel Recommendation by Mining People Attributes and Travel Group Types From Community-Contributed Photos,"Travel Recommendation by Mining People
+Attributes and Travel Group Types From
+Community-Contributed Photos
+Yan-Ying Chen, An-Jung Cheng, and Winston H. Hsu, Senior Member, IEEE"

+52f71cc9c312aa845867ad1695c25a6d1d94ba0e,The invariance assumption in process-dissociation models: an evaluation across three domains.,"Journal of Experimental Psychology: General
+015, Vol. 144, No. 1, 198 –221
+0096-3445/15/$12.00
+© 2014 American Psychological Association
+http://dx.doi.org/10.1037/xge0000044
+The Invariance Assumption in Process-Dissociation Models:
+An Evaluation Across Three Domains
+Karl Christoph Klauer, Kerstin Dittrich,
+nd Christine Scholtes
+Albert-Ludwigs-Universität Freiburg
+Andreas Voss
+Universität Heidelberg
+The class of process-dissociation models, a subset of the class of multinomial processing-tree models, is
+one of the best understood classes of models used in experimental psychology. A number of prominent
+debates have addressed fundamental assumptions of process-dissociation models, leading, in many cases,
+to conceptual clarifications and extended models that address identified issues. One issue that has so far
+defied empirical clarification is how to evaluate the invariance assumption for the dominant process.
+Violations of the invariance assumption have, however, the potential to bias conventional process-
+dissociation analyses in different ways, and they can cause misleading theoretical interpretations and
+onclusions. Based on recent advances in multinomial modeling, we propose new approaches to examine"

+52e0c03dd661d032865dfedd91ca49542ccfc2a3,Improving Human Action Recognition Using Score Distribution and Ranking,"Improving Human Action Recognition
+using Score Distribution and Ranking
+Minh Hoai1,2 and Andrew Zisserman1
+Visual Geometry Group, Dept. Engineering Science, University of Oxford.
+Department of Computer Science, Stony Brook University."

+523abe29cc278f9daf03fe74d1e09d9e2711b73e,Facial Recognition System: A Review,"Debolina S. De, International Journal of Computer Science and Mobile Computing, Vol.4 Issue.10, October- 2015, pg. 7-11
+Available Online at www.ijcsmc.com
+International Journal of Computer Science and Mobile Computing
+A Monthly Journal of Computer Science and Information Technology
+ISSN 2320–088X
+IJCSMC, Vol. 4, Issue. 10, October 2015, pg.7 – 11
+REVIEW ARTICLE
+Facial Recognition System: A Review
+Debolina S. De
+Computer Engineering Department, Mukesh Patel School of Technology Management and Engineering, India"

+5251cb5349e37495b3ca29b06e6ed7422f12d126,A Pedestrian Detector Using Histograms of Oriented Gradients and a Support Vector Machine Classifier,"Proceedings of the 2007 IEEE
+Intelligent Transportation Systems Conference
+Seattle, WA, USA, Sept. 30 - Oct. 3, 2007
+MoD2.2
+-4244-1396-6/07/$25.00 ©2007 IEEE."

+524634e1055637b7c22b29e7e36437f4ba80df04,Thermal to Visible Synthesis of Face Images Using Multiple Regions,"Thermal to Visible Synthesis of Face Images using Multiple Regions
+Benjamin S. Riggan1,*
+Nathaniel J. Short1,2
+Shuowen Hu1
+U.S. Army Research Laboratory, 2800 Powder Mill Rd., Adelphi, MD 20783
+Booz Allen Hamilton, 8283 Grennsboro Dr., McLean, VA 22102
+*Corresponding author:"

+52884a0c7913be319c1a2395f009cea47b03f128,Explorer Learning Grounded Meaning Representations with Autoencoders,"Learning Grounded Meaning Representations with Autoencoders
+Citation for published version:
+Silberer, C & Lapata, M 2014, 'Learning Grounded Meaning Representations with Autoencoders'. in
+Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long
+Papers). Association for Computational Linguistics, Baltimore, Maryland, pp. 721-732.
+Link:
+Link to publication record in Edinburgh Research Explorer
+Document Version:
+Publisher final version (usually the publisher pdf)
+Published In:
+Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long
+Papers)
+General rights
+Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s)
+nd / or other copyright owners and it is a condition of accessing these publications that users recognise and
+bide by the legal requirements associated with these rights.
+Take down policy
+The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer
+ontent complies with UK legislation. If you believe that the public display of this file breaches copyright please
+ontact providing details, and we will remove access to the work immediately and"

+52b6df1fe810d36fd615eb7c47aa1fd29376e769,Graph Mining for Object Tracking in Videos,"Graph Mining for Object Tracking in Videos
+Fabien Diot, Elisa Fromont, Baptiste Jeudy, Emmanuel Marilly, Olivier
+Martinot
+To cite this version:
+Fabien Diot, Elisa Fromont, Baptiste Jeudy, Emmanuel Marilly, Olivier Martinot. Graph
+Mining for Object Tracking in Videos. European Conference on Machine Learning and Prin-
+iples and Practice of Knowledge Discovery in Databases, Sep 2012, Bristol, United Kingdom.
+Springer, LNCS (LNAI 6321), pp.394-409, 2012. <hal-00714705v2>
+HAL Id: hal-00714705
+https://hal.archives-ouvertes.fr/hal-00714705v2
+Submitted on 20 Sep 2012
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destin´ee au d´epˆot et `a la diffusion de documents
+scientifiques de niveau recherche, publi´es ou non,"

+521120c3907677e17708c17c5b6bab9087e61c5b,"l2, 1-Norm Regularized Discriminative Feature Selection for Unsupervised Learning","(cid:2)2,1-Norm Regularized Discriminative Feature
+Selection for Unsupervised Learning
+Yi Yang1, Heng Tao Shen1, Zhigang Ma2, Zi Huang1, Xiaofang Zhou1
+School of Information Technology & Electrical Engineering, The University of Queensland.
+Department of Information Engineering & Computer Science, University of Trento.
+yangyi {huang,"

+5223f3485b96bffe7dd4b3aa71e63fd2b049fcf0,Is the Pedestrian going to Cross? Answering by 2D Pose Estimation,"Is the Pedestrian going to Cross? Answering by 2D Pose Estimation
+Zhijie Fang and Antonio M. L´opez"

+52417b0406886154f0b4e2343ad6ac18c0484ec4,Ecological legacies of civil war: 35-year increase in savanna tree cover following wholesale large-mammal declines,"Journal of Ecology 2016, 104, 79–89
+doi: 10.1111/1365-2745.12483
+Ecological legacies of civil war: 35-year increase in
+savanna tree cover following wholesale large-mammal
+declines
+Joshua H. Daskin1*, Marc Stalmans2 and Robert M. Pringle1
+Department of Ecology and Evolutionary Biology, 106A Guyot Hall, Princeton University Princeton, NJ 08540, USA;
+nd 2Department of Scientific Services, Gorongosa National Park, Sofala Province, Mozambique
+Summary
+. Large mammalian herbivores (LMH) exert strong effects on plants in tropical savannas, and
+many wild LMH populations are declining. However, predicting the impacts of these declines on
+vegetation structure remains challenging.
+. Experiments suggest that tree cover can increase rapidly following LMH exclusion. Yet it is
+unclear whether these results scale up to predict ecosystem-level impacts of LMH declines, which
+often alter fire regimes, trigger compensatory responses of other herbivores and accompany anthro-
+pogenic land-use changes. Moreover, theory predicts that grazers and browsers should have oppos-
+ing effects on tree cover, further complicating efforts to forecast the outcomes of community-wide
+declines.
+. We used the near-extirpation of grazing and browsing LMH from Gorongosa National Park dur-
+ing the Mozambican Civil War (1977–1992) as a natural experiment to test whether megafaunal col-"

+52ed30920f2f96970c4f79d6768436ed855dad42,Active image pair selection for continuous person re-identification,"ACTIVE IMAGE PAIR SELECTION FOR CONTINUOUS PERSON RE-IDENTIFICATION
+Abir Das, Rameswar Panda, Amit Roy-Chowdhury
+Electrical and Computer Engineering Department, University of California, Riverside, USA"

+52258ec5ec73ce30ca8bc215539c017d279517cf,Recognizing Faces with Expressions: Within-class Space and Between-class Space,"Recognizing Faces with Expressions: Within-class Space and Between-class Space
+Department of Computer Science and Engineering, Zhejang University, Hangzhou 310027,P.R.China
+Email:
+Yu  Bing      Chen  Ping      Jin  Lianfu"

+526ce11a6c80716fca69bdc111f32dfbe045e400,A Survey on Dataset Recognition of 3 D Face with Missing Parts,"International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Index Copernicus Value (2013): 6.14 | Impact Factor (2014): 5.611
+A Survey on Dataset Recognition of 3D Face with
+Missing Parts
+Madhura Patil
+ME Student, Department of Computer Engineering, Sinhgad Academy of Engg. Pune, Maharashtra, India
+possibly
+recognition.3D
+recognization
+methodology"

+52969cdd2c5eaccb534fe1296a61517b7ec42a54,Human Identification based on Ear Recognition,"Human Identification based on Ear Recognition
+S. Gangaram1, and S. Viriri1,2"

+526ce5c72af5e1f93b8029a26e2eed7d1ac009f5,0 Constructing Kernel Machines in the Empirical Kernel Feature Space,"We are IntechOpen,
+the world’s leading publisher of
+Open Access books
+Built by scientists, for scientists
+,800
+16,000
+Open access books available
+International  authors and editors
+Downloads
+Our authors are among the
+Countries delivered to
+TOP 1%
+2.2%
+most cited scientists
+Contributors from top 500 universities
+Selection of our books indexed in the Book Citation Index
+in Web of Science™ Core Collection (BKCI)
+Interested in publishing with us?
+Contact
+Numbers displayed above are based on latest data collected."

+5265be9c7b8b22f4e06a01736bbedf171caee74e,Covariance of Motion and Appearance Featuresfor Spatio Temporal Recognition Tasks,"Covariance of Motion and Appearance Features
+for Human Action and Gesture Recognition
+Subhabrata Bhattacharya, Nasim Souly and Mubarak Shah"

+524890eef6beaeb2e206c7b1bf51b58298eb55ec,Florian et al_ICMCSSE 2012_3,"Efficient and Effective Gabor Feature
+Representation for Face Detection
+Yasuomi D. Sato, Yasutaka Kuriya"

+527ed756eba3bc77eb58d22d4cfe27da04d3bbbb,Adaptive skew-sensitive fusion of ensembles and their application to face re-identification,"Adaptive Skew-Sensitive Fusion of Ensembles and
+their Application to Face Re-Identification
+Miguel De-la-Torre∗†, Eric Granger∗, Robert Sabourin∗
+´Ecole de technologie sup´erieure, Universit´e du Qu´ebec, Montr´eal, Canada
+Centro Universitario de Los Valles, Universidad de Guadalajara, Ameca, M´exico"

+52144c6d20ddea70e59514c2aa9ec7dc801e5c5e,An Investigation of Face Recognition Characteristics Using PCA and ICA,"Yundi Fu et al, International Journal of Computer Science and Mobile Computing, Vol.3 Issue.2, February- 2014, pg. 110-123
+Available Online at www.ijcsmc.com
+International Journal of Computer Science and Mobile Computing
+A Monthly Journal of Computer Science and Information Technology
+ISSN 2320–088X
+IJCSMC, Vol. 3, Issue. 2, February 2014, pg.110 – 123
+RESEARCH ARTICLE
+An Investigation of Face Recognition
+Characteristics Using PCA and ICA
+Yundi Fu1, Yongli Cao1, Arun Kumar Sangaiah2
+Department of Software Engineering, University of Electronic Science and Technology, China
+School of Computing Science and Engineering, VIT University, Vellore, India"

+529341eb910ca5125b4aa6aa83bfc5fc8bf44fe3,V&L Net 2014 The 3rd Annual Meeting Of The EPSRC Network On Vision & Language and The 1st Technical Meeting of the European Network on Integrating Vision and Language,"V&LNet2014The3rdAnnualMeetingOfTheEPSRCNetworkOnVision&LanguageandThe1stTechnicalMeetingoftheEuropeanNetworkonIntegratingVisionandLanguageAWorkshopofthe25thInternationalConferenceonComputationalLinguistics(COLING2014)ProceedingsAugust23,2014Dublin,Ireland"

+529baf1a79cca813f8c9966ceaa9b3e42748c058,Triangle wise Mapping Technique to Transform one Face Image into Another Face Image,"Triangle Wise Mapping Technique to Transform one Face Image into Another Face Image
+{tag}                                                                           {/tag}
+International Journal of Computer Applications
+© 2014 by IJCA Journal
+Volume 87 - Number 6
+Year of Publication: 2014
+Authors:
+Rustam Ali Ahmed
+Bhogeswar Borah
+10.5120/15209-3714
+{bibtex}pxc3893714.bib{/bibtex}"

+527d596a56aa238dfc450c3ebfdae31e82c6c175,Face Detection Methods,"Face Detection Methods
+ZYAD SHAABAN
+Department of Information Technology
+College of Computers and Information Technology
+University of Tabuk
+Tabuk 71491
+KINGDOM OF SAUDI ARABIA"

+5239001571bc64de3e61be0be8985860f08d7e7e,Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling,"SUBMITTED TO IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, JUNE 2016
+Deep Appearance Models: A Deep Boltzmann
+Machine Approach for Face Modeling
+Chi Nhan Duong, Student, IEEE, Khoa Luu, Member, IEEE,
+Kha Gia Quach, Student, IEEE, Tien D. Bui, Senior Member, IEEE"

+558c587373e2ea44898f70de7858da71aa217b8d,Cross-Lingual Image Caption Generation,"Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, pages 1780–1790,
+Berlin, Germany, August 7-12, 2016. c(cid:13)2016 Association for Computational Linguistics"

+555488f1da920bb1a06b4d19ff687805993eb7fb,Finding Speaker Face Region by Audiovisual Correlation,"Author manuscript, published in ""Workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications - M2SFA2
+008, Marseille : France (2008)"""

+554b53f6e5e37d0f8c8eade1a962b39ce591f6ae,"COCO-CN for Cross-Lingual Image Tagging, Captioning and Retrieval","COCO-CN for Cross-Lingual Image Tagging, Captioning and
+Retrieval
+Xirong Li, Xiaoxu Wang, Chaoxi Xu, Weiyu Lan, Qijie Wei, Gang Yang, Jieping Xu
+Key Lab of Data Engineering and Knowledge Engineering, Renmin University of China
+Multimedia Computing Lab, Renmin University of China"

+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
+L2TI, Institut Galil´ee, Universit´e Paris 13, France;
+SERCOM, Ecole Polytechnique de Tunisie"

+5582aafd943f2b67805cdb4aba9e2f288dfe0ca8,"Human Object Sketches: Datasets, Descriptors, Computational Recognition and 3d Shape Retrieval","Human Object Sketches:
+Datasets, Descriptors, Computational
+Recognition and 3d Shape Retrieval
+vorgelegt von
+Mathias Eitz, Dipl.-Inf., M.Eng.
+us Friedrichshafen
+von der Fakultät IV - Elektrotechnik und Informatik
+der Technischen Universität Berlin
+zur Erlangung des akademischen Grades
+Doktor der Ingenieurwissenschaften
+– Dr.-Ing. –
+genehmigte Dissertation
+Promotionsausschuss:
+Vorsitzender: Prof. Dr. Oliver Brock
+Gutachter: Prof. Dr. Marc Alexa
+Gutachter: Prof. Tamy Boubekeur, PhD
+Tag der wissenschaftlichen Aussprache: 07.12.2012
+Berlin 2012"

+558613d96d7c125c00eae0c58c56ee6983208fd5,Identification of Unmodeled Objects from Symbolic Descriptions,"Identification of Unmodeled Objects from Symbolic Descriptions*
+Andrea Baisero, Stefan Otte, Peter Englert and Marc Toussaint"

+550edcdc27aff4e7ea8807356a265a0031434a49,Fully Convolutional Attention Localization Networks: Efficient Attention Localization for Fine-Grained Recognition,"Fine-Grained Recognition with Automatic and Efficient Part Attention
+Xiao Liu, Tian Xia, Jiang Wang, Yi Yang, Feng Zhou and Yuanqing Lin
+Baidu Research
+{liuxiao12,xiatian,wangjiang03, yangyi05, zhoufeng09,"

+55c68c1237166679d2cb65f266f496d1ecd4bec6,Learning to score the figure skating sports videos,"Learning to Score Figure Skating Sport Videos
+Chengming Xu, Yanwei Fu, Zitian Chen,Bing Zhang, Yu-Gang Jiang, Xiangyang Xue"

+55c22f9c8f76b40793a8473248873f726abd8ce9,Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks,"Unpaired Image-to-Image Translation
+using Cycle-Consistent Adversarial Networks
+Jun-Yan Zhu∗
+Taesung Park∗
+Berkeley AI Research (BAIR) laboratory, UC Berkeley
+Phillip Isola
+Alexei A. Efros
+Figure 1: Given any two unordered image collections X and Y , our algorithm learns to automatically “translate” an image
+from one into the other and vice versa: (left) Monet paintings and landscape photos from Flickr; (center) zebras and horses
+from ImageNet; (right) summer and winter Yosemite photos from Flickr. Example application (bottom): using a collection
+of paintings of famous artists, our method learns to render natural photographs into the respective styles."

+558c4917dc9a1d34f62c0ab713b1b9a37ad04853,Action Recognition Using Multilevel Features and Latent Structural SVM,"Action Recognition Using Multilevel Features and
+Latent Structural SVM
+Xinxiao Wu, Dong Xu, Member, IEEE, Lixin Duan, Jiebo Luo, Fellow, IEEE, and Yunde Jia, Member, IEEE"

+55dcaee65936583846e8c4fa36589df066ebadfa,Learning to Relate Literal and Sentimental Descriptions of Visual Properties,"Atlanta, Georgia, 9–14 June 2013. c(cid:13)2013 Association for Computational Linguistics
+Proceedings of NAACL-HLT 2013, pages 416–425,"

+555222f2ad6dae447eef04f96fa40c1b8a397150,CaloriNet: From silhouettes to calorie estimation in private environments,"CaloriNet: From silhouettes to calorie estimation in private
+environments
+Alessandro Masullo∗
+Tilo Burghardt
+Victor Ponce-López
+Dima Damen
+Majid Mirmehdi
+Sion Hannuna
+June 22, 2018"

+5502dfe47ac26e60e0fb25fc0f810cae6f5173c0,Affordance Prediction via Learned Object Attributes,"Affordance Prediction via Learned Object Attributes
+Tucker Hermans
+James M. Rehg
+Aaron Bobick"

+5582bebed97947a41e3ddd9bd1f284b73f1648c2,Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization,"Visual Explanations from Deep Networks via Gradient-based Localization
+Grad-CAM: Why did you say that?
+Ramprasaath R. Selvaraju
+Abhishek Das
+Devi Parikh
+Ramakrishna Vedantam
+Dhruv Batra
+Virginia Tech
+Michael Cogswell
+{ram21, abhshkdz, vrama91, cogswell, parikh,
+(a) Original Image
+(b) Guided Backprop ‘Cat’
+(c) Grad-CAM for ‘Cat’
+(d) Guided Grad-CAM ‘Cat’
+(e) Occlusion Map ‘Cat’
+(f) ResNet Grad-CAM ‘Cat’
+(g) Original Image
+(h) Guided Backprop ‘Dog’
+(i) Grad-CAM for ‘Dog’
+(l) ResNet Grad-CAM ‘Dog’"

+5556234869c36195ffdcd29349e5dcdf695023e9,Minimum Distance between Pattern Transformation Manifolds: Algorithm and Applications,"JULY 2009
+Minimum Distance between
+Pattern Transformation Manifolds:
+Algorithm and Applications
+Effrosyni Kokiopoulou, Student Member, IEEE, and Pascal Frossard, Senior Member, IEEE"

+55ef8c3c28e2afda486d8471205204927127c605,Multiview Alignment Hashing for Efficient Image Search,"Multiview Alignment Hashing for Efficient Image
+Search
+Li Liu, Mengyang Yu, Student Member, IEEE, and Ling Shao, Senior Member, IEEE"

+5531e728850185b80835a78db2e4fd23e288f359,Towards Reading Hidden Emotions: A comparative Study of Spontaneous Micro-expression Spotting and Recognition Methods,"Reading Hidden Emotions: Spontaneous
+Micro-expression Spotting and Recognition
+Xiaobai Li, Student Member, IEEE, Xiaopeng Hong, Member, IEEE, Antti Moilanen, Xiaohua Huang, Student
+Member, IEEE, Tomas Pfister, Guoying Zhao, Senior Member, IEEE, and Matti Pietik¨ainen, Fellow, IEEE"

+5520acfa1f4e678f1abbaab67ec76e903c3d3bdc,SALSA: A Novel Dataset for Multimodal Group Behavior Analysis,"SALSA: A Novel Dataset for Multimodal Group
+Behavior Analysis
+Xavier Alameda-Pineda, Jacopo Staiano, Ramanathan Subramanian, Member, IEEE, Ligia Batrinca,
+Elisa Ricci, Member, IEEE, Bruno Lepri, Oswald Lanz, Member, IEEE, Nicu Sebe, Senior Member, IEEE"

+558719ec858120908ef40b27a5d32904a68f6dd9,Toward an Automatic Evaluation of Retrieval Performance with Large Scale Image Collections,"Towards an Automatic Evaluation of Retrieval Performance
+with Large Scale Image Collections
+Adrian Popescu1, Eleftherios Spyromitros-Xioufis2, Symeon Papadopoulos2, Hervé Le
+Borgne1, Ioannis Kompatsiaris2
+CEA, LIST, 91190 Gif-sur-Yvette, France,
+CERTH-ITI, Thermi-Thessaloniki, Greece,"

+559295770dc2e2e3a1348df31ac5c3f3e66f1764,Generating Multiple Hypotheses for Human 3D Pose Consistent with 2D Joint Detections,"Generating Multiple Hypotheses for Human 3D Pose Consistent with 2D Joint Detections
+Johns Hopkins University
+Johns Hopkins University
+Alan L. Yuille
+Baltimore, USA
+Ehsan Jahangiri
+Baltimore, USA"

+551fedfeaf55e3f7a7cf19d2b21f1a56f8cbe9f6,Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems,"Egocentric Vision-based Future Vehicle Localization
+for Intelligent Driving Assistance Systems
+Yu Yao1∗, Mingze Xu2∗, Chiho Choi3, David J. Crandall2, Ella M. Atkins1, and Behzad Dariush3"

+55a158f4e7c38fe281d06ae45eb456e05516af50,Simile Classifiers for Face Classification,"The 22nd International Conference on Computer Graphics and Vision
+GraphiCon’2012"

+55cad1f4943018459b761f89afd9292d347610f2,Self-supervised Multi-level Face Model Learning for Monocular Reconstruction at over 250 Hz,

+5543224d6f8e22e7eaabfcbc4bed9e8a9451e3f8,Automatische Bildfolgenanalyse mit statistischen Mustererkennungsverfahren,"Automatische Bildfolgenanalyse
+mit statistischen
+Mustererkennungsverfahren
+Vom Fachbereich Elektrotechnik
+der Gerhard-Mercator-Universit¨at Duisburg
+zur Erlangung des akademischen Grades eines
+Doktors der Ingenieurwissenschaften
+genehmigte Dissertation
+Dipl.-Ing. Stefan Eickeler
+us Duisburg
+Referent: Prof. Dr. Gerhard Rigoll
+Korreferent: Prof. Dr. Martin Reiser
+Tag der m¨undlichen Pr¨ufung: 5. November 2001"

+5550a6df1b118a80c00a2459bae216a7e8e3966c,A perusal on Facial Emotion Recognition System ( FERS ),"ISSN: 0974-2115
+www.jchps.com                                                                       Journal of Chemical and Pharmaceutical Sciences
+A perusal on Facial Emotion Recognition System (FERS)
+School of Information Technology and Engineering, VIT University, Vellore, 632014, India
+Krithika L.B
+*Corresponding author: E-Mail:"

+555b332252522fce0f31b0c0b7630cf4f36ba0a5,Face processing in Williams syndrome and Autism,"Face processing in Williams syndrome and Autism
+Deborah Michelle Riby
+Department of Psychology,
+University of Stirling"

+55ba5e4c07f6ecf827bfee04e96de35a170f7485,This Dissertation entitled MODELING THE HUMAN FACE THROUGH MULTIPLE VIEW THREE-DIMENSIONAL STEREOPSIS: A SURVEY AND COMPARATIVE ANALYSIS OF FACIAL RECOGNITION OVER MULTIPLE MODALITIES,"This Dissertation
+entitled
+MODELING THE HUMAN FACE THROUGH MULTIPLE
+VIEW THREE-DIMENSIONAL STEREOPSIS: A SURVEY AND
+COMPARATIVE ANALYSIS OF FACIAL RECOGNITION
+OVER MULTIPLE MODALITIES
+typeset with nddiss2"" v1.0 (2004/06/15) on July 26, 2006 for
+Xin Chen
+This LATEX 2"" class(cid:12)le conforms to the University of Notre Dame style guide-
+lines established in Spring 2004. However it is still possible to generate a non-
+onformant document if the published instructions are not followed! Be sure to re-
+fer to the published Graduate School guidelines at http://graduateschool.nd.edu
+s well.
+It is YOUR resposnsibility to ensure that the Chapter titles and Table caption
+titles are put in CAPS LETTERS. This class(cid:12)le does NOT do that! This way,
+you have total control over how you want the symbols and sub-/superscripts in
+titles and captions look like.
+This summary page can be disabled by specifying the nosummary option to the class
+invocation. (i.e., ndocumentclass[...,nosummary,...]fnddiss2eg)
+THIS PAGE IS NOT PART OF THE THESIS, BUT"

+5522073ebd53a6502cec9d716a77bb2c18aca593,Multi-view Body Part Recognition with Random Forests,"KAZEMI, BURENIUS, AZIZPOUR, SULLIVAN: MULTI-VIEW BODY PART RECOGNITION 1
+Multi-view Body Part Recognition with
+Random Forests
+CVAP / KTH
+The Royal Institute of Technology
+Stockholm, Sweden
+Vahid Kazemi
+Magnus Burenius
+Hossein Azizpour
+Josephine Sullivan"

+55079a93b7d1eb789193d7fcdcf614e6829fad0f,Efficient and Robust Inverse Lighting of a Single Face Image Using Compressive Sensing,"Efficient and Robust Inverse Lighting of a Single Face Image using Compressive
+Sensing
+Miguel Heredia Conde†, Davoud Shahlaei#, Volker Blanz# and Otmar Loffeld†
+Center for Sensor Systems† (ZESS) and Institute for Vision and Graphics#, University of Siegen
+57076 Siegen, Germany"

+550c369cc3080c03b89d738d82f1ed50145c5aa7,"Information, Technology, and Information Worker Productivity","Information, Technology and Information Worker Productivity
+NYU Stern School of Business & MIT, 44 West 4th Street Room: 8-81, New York, NY 10012
+MIT Sloan School of Management, Room: E53-313, 50 Memorial Drive, Cambridge, MA 02142
+Sinan Aral
+Erik Brynjolfsson
+Marshall Van Alstyne
+Boston University & MIT, 595 Commonwealth Avenue, Boston, MA 02215
+We study the fine-grained relationships among information flows, IT use, and individual information-worker produc-
+tivity, by analyzing work at a midsize executive recruiting firm.  We analyze both project-level and individual-level
+performance using: (1) direct observation of over 125,000 e-mail messages over a period of 10 months by individual
+workers (2) detailed accounting data on revenues, compensation, project completion rates, and team membership for
+over 1300 projects spanning 5 years, and (3) survey data on a matched set of the same workers’ IT skills, IT use and in-
+formation sharing. These detailed data permit us to econometrically evaluate a multistage model of production and in-
+teraction activities at the firm, and to analyze the relationships among communications flows, key technologies, work
+practices, and output. We find that (a) the structure and size of workers’ communication networks are highly correlated
+with their performance; (b) IT use is strongly correlated with productivity but mainly by allowing multitasking rather
+than by speeding up work;  (c) productivity is greatest for small amounts of multitasking but beyond an optimum, mul-
+titasking is associated with declining project completion rates and revenue generation; and (d) asynchronous informa-
+tion seeking such as email and database use promotes multitasking while synchronous information seeking over the
+phone shows a negative correlation. Overall, these data show statistically significant relationships among social net-"

+551fa37e8d6d03b89d195a5c00c74cc52ff1c67a,GeThR-Net: A Generalized Temporally Hybrid Recurrent Neural Network for Multimodal Information Fusion,"GeThR-Net: A Generalized Temporally Hybrid
+Recurrent Neural Network for Multimodal
+Information Fusion
+Ankit Gandhi1 ∗, Arjun Sharma1 ∗ , Arijit Biswas2, and Om Deshmukh1
+Xerox Research Centre India; 2 Amazon Development Center India
+(*-equal contribution)"

+5592574c82eec9367e9173b7820ff329a27b6c21,Image Enhancement and Automated Target Recognition Techniques for Underwater Electro-Optic Imagery,"Image Enhancement and Automated Target Recognition
+Techniques for Underwater Electro-Optic Imagery
+Thomas Giddings (PI), Cetin Savkli and Joseph Shirron
+Metron, Inc.
+1911 Freedom Dr., Suite 800
+Reston, VA 20190
+phone: (703) 437-2428   fax: (703) 787-3518    email:
+Contract Number N00014-07-C-0351
+http:www.metsci.com
+LONG TERM GOALS
+The long-term goal of this project is to provide a flexible, accurate and extensible automated target
+recognition (ATR) system for use with a variety of imaging and non-imaging sensors.  Such an ATR
+system, once it achieves a high level of performance, can relieve human operators from the tedious
+usiness of pouring over vast quantities of mostly mundane data, calling the operator in only when the
+omputer assessment involves an unacceptable level of  ambiguity. The ATR system will provide most
+leading edge algorithms for detection, segmentation, and classification while incorporating many novel
+lgorithms that we are developing at Metron.  To address one of the most critical challenges in ATR
+technology, the system will also provide powerful feature extraction routines designed for specific
+pplications of current interest.
+OBJECTIVES"

+55c40cbcf49a0225e72d911d762c27bb1c2d14aa,Indian Face Age Database : A Database for Face Recognition with Age Variation,"Indian Face Age Database: A Database for Face Recognition with Age Variation
+{tag}                                                                  {/tag}
+International Journal of Computer Applications
+Foundation of Computer Science (FCS), NY, USA
+Volume 126
+Number 5
+Year of Publication: 2015
+Authors:
+Reecha Sharma, M.S. Patterh
+10.5120/ijca2015906055
+{bibtex}2015906055.bib{/bibtex}"

+55202f10bb1d7640b0b279a4cdc8e9925cd9ef81,ICM: An Intuitive Model Independent and Accurate Certainty Measure for Machine Learning,

+9717bd66ad50aedabaea0f3af784c7ba9643b686,TransFlow: Unsupervised Motion Flow by Joint Geometric and Pixel-level Estimation,"TransFlow: Unsupervised Motion Flow by Joint
+Geometric and Pixel-level Estimation
+Stefano Alletto*, Davide Abati, Simone Calderara, Rita Cucchiara
+University of Modena and Reggio Emilia
+Via P. Vivarelli 10, Modena, Italy
+Luca Rigazio*
+Panasonic Silicon Valley Laboratory
+0900 North Tantau Avenue, Suite 200, Cupertino, CA, USA"

+97692960a11d4316880fb229cca699293e133945,An efficient multi-resolution SVM network approach for object detection in aerial images,"015 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, SEPT. 17–20, 2015, BOSTON, USA
+AN EFFICIENT MULTI-RESOLUTION SVM NETWORK APPROACH FOR OBJECT
+DETECTION IN AERIAL IMAGES
+J. Pasquet(cid:63)†
+M. Chaumont∗†
+G. Subsol †
+M. Derras(cid:63)
+LIRMM, Universit´e de Montpellier / CNRS, France
+(cid:63) Berger Levrault, Lab`ege, France
+Universit´e de Nˆımes, France"

+970e571305ed9dde9308e559694044e204d6e2ad,Learning Finer-class Networks for Universal Representations,"GIRARD ET AL.: FINER-CLASS NETWORKS
+Learning Finer-class Networks for Universal
+Representations
+Julien Girard12
+Youssef Tamaazousti123
+Hervé Le Borgne2
+Céline Hudelot3
+Both authors contributed equally.
+CEA LIST
+Vision Laboratory,
+Gif-sur-Yvette, France.
+CentraleSupélec,
+MICS Laboratory,
+Châtenay-Malabry, France."

+973e3d9bc0879210c9fad145a902afca07370b86,From Emotion Recognition to Website Customizations,"(IJACSA) International Journal of Advanced Computer Science and Applications,
+Vol. 7, No. 7, 2016
+From Emotion Recognition to Website
+Customizations
+O.B.  Efremides
+School  of  Web  Media
+Bahrain  Polytechnic
+Isa  Town,  Kingdom  of  Bahrain"

+97104def2b92b430c02f595d7802f9ba23b74cc7,DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation from Stereo Imagery,"DispSegNet: Leveraging Semantics for End-to-End Learning of
+Disparity Estimation from Stereo Imagery
+Junming Zhang1, Katherine A. Skinner2, Ram Vasudevan3 and Matthew Johnson-Roberson4"

+97b8249914e6b4f8757d22da51e8347995a40637,"Large-Scale Vehicle Detection, Indexing, and Search in Urban Surveillance Videos","Large-Scale Vehicle Detection, Indexing,
+nd Search in Urban Surveillance Videos
+Rogerio Schmidt Feris, Associate Member, IEEE, Behjat Siddiquie, James Petterson,
+Yun Zhai, Associate Member, IEEE, Ankur Datta, Lisa M. Brown, Senior Member, IEEE, and
+Sharath Pankanti, Fellow, IEEE"

+9728c3e32f57b54dea94fa9737c8f300de5cc468,Imbalanced Malware Images Classification: a CNN based Approach,"Imbalanced Malware Images Classification: a CNN
+ased Approach
+Songqing Yue
+University of Wisconsin"

+97bcf007516cb70d8cb17b7de6452aa06c4b9c76,GABAergic neurotransmission alterations in autism spectrum disorders,"Neurotransmitter 2015; 2: e1052. doi: 10.14800/nt.1052; © 2015 by Carla V Sesarini
+http://www.smartscitech.com/index.php/nt
+REVIEW
+GABAergic neurotransmission alterations in autism spectrum
+disorders
+Carla V Sesarini
+Instituto  de  Ciencias  Básicas  y  Medicina  Experimental  (ICBME),  Instituto  Universitario  del  Hospital  Italiano  de  Buenos  Aires
+(HIBA), Potosi 4240 (C1199ACL), CABA, Argentina
+Correspondence: Carla V Sesarini
+E-mail:
+Received: October 04, 2015
+Published online: November 09, 2015
+Autism  spectrum  disorders  (ASDs)  are  a  group  of  complex  disorders  of  neurodevelopment  characterized  by
+difficulties in social interaction, verbal and nonverbal communication, and repetitive behaviors. In ASD, deficits
+in social cognition and related cognitive functions would be the resultant of reduced synchronization between
+rain regions. A possible explanation for ASDs is the disturbance of the delicate balance between excitation and
+inhibition  in  the  developing  brain  which  may  have  profound  impact  in  neurobehavioral  phenotypes.  At  least
+some forms of autism would be caused by a disproportionately high level of excitation (or weaker inhibition) in
+neural circuits that mediate language and social behavior (local circuits). A more excitable cortex (more weakly
+inhibited)  is  functionally  more  poorly  differentiated  and  could  lead  to  broad  ranging  abnormalities  in"

+972ef9ddd9059079bdec17abc8b33039ed25c99c,A Novel on understanding How IRIS Recognition works,"International Journal of Innovations in Engineering and Technology (IJIET)
+A Novel on understanding How IRIS
+Recognition works
+Vijay Shinde
+Dept. of Comp. Science
+M.P.M. College, Bhopal, India
+Prof. Prakash Tanwar
+Asst. Professor CSE
+M.P.M. College, Bhopal, India"

+97032b13f1371c8a813802ade7558e816d25c73f,Total Recall Final Report,"Total Recall Final Report
+Peter Collingbourne, Nakul Durve, Khilan Gudka, Steve Lovegrove, Jiefei Ma, Sadegh Shahrbaf
+Supervisor: Professor Duncan Gillies
+January 11, 2006"

+97b54703c267deef8c86ab6240c24d76a59864e7,Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos,"Pixel Objectness: Learning to Segment Generic
+Objects Automatically in Images and Videos
+Bo Xiong∗, Suyog Dutt Jain∗, and Kristen Grauman, Member, IEEE"

+97a0aba4e9a95db17c3d4367f59aad1f02e04b55,How far did we get in face spoofing detection?,"This manuscript is a preprint version. The final version of this paper is
+vailable in Engineering Applications of Artificial Intelligence, vol. 72,
+pp. 368-381, 2018. DOI: 10.1016/j.engappai.2018.04.013
+How far did we get in face spoofing detection?
+Luiz Souza, Luciano Oliveira, Mauricio Pamplona
+IVISION Lab, Federal University of Bahia
+Joao Papa
+RECOGNA Lab, S˜ao Paulo State University"

+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,
+S.NayarandC.Rothwell
+
GeneralElectricCorporateResearchandDevelopment,Schenectady,NY,USA
+RoboticsResearchGroup,UniversityofOxford,Oxford,UK
+Dept.ofComputerScience,ColumbiaUniversity,NY,USA
+INRIA,SophiaAntipolis,France"

+97d811ae99bcbcf9f63c2f447041ab6d74a20b1e,Face recognition using truncated transform domain feature extraction,"The International Arab Journal of Information Technology, Vol. 12, No. 3, May 2015                                                              211
+Face Recognition using Truncated Transform
+Domain Feature Extraction
+Rangan Kodandaram, Shashank Mallikarjun, Manikantan Krishnamuthan, and Ramachandran Sivan
+Department of Electronics and Communication Engineering, M.S. Ramaiah Institute of Technology, India"

+9729ff547b6882b49898c1f5abb69646edf77e71,Two Kinds of Statistics for Better Face Recognition,"Two Kinds of Statistics for Better Face Recognition
+Manuel Günther, Marco K. Müller and Rolf P. Würtz
+Institut für Neuroinformatik, Ruhr-Universität, 44780 Bochum, Germany"

+97cf04eaf1fc0ac4de0f5ad4a510d57ce12544f5,"Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond","manuscript No.
+(will be inserted by the editor)
+Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge,
+Deep Architectures, and Beyond
+Dimitrios Kollias (cid:63) · Panagiotis Tzirakis † · Mihalis A. Nicolaou ∗ · Athanasios
+Papaioannou(cid:107) · Guoying Zhao1 · Bj¨orn Schuller2 · Irene Kotsia3 · Stefanos
+Zafeiriou4"

+97d1d561362a8b6beb0fdbee28f3862fb48f1380,Age Synthesis and Estimation via Faces: A Survey,"Age Synthesis and Estimation via Faces:
+A Survey
+Yun Fu, Member, IEEE, Guodong Guo, Senior Member, IEEE, and
+Thomas S. Huang, Fellow, IEEE"

+97e7810f21a145caddc7e5168b59f0ab8894f669,Technical Report: Learning to Rank using High-Order Information,"Technical Report: Learning to Rank using
+High-Order Information
+Puneet K. Dokania1, Aseem Behl2, C. V. Jawahar2, and M. Pawan Kumar1
+Ecole Centrale de Paris1, INRIA Saclay1, IIIT Hyderabad - India2"

+97ee35db6b389a7bcc4b7975d12dbcd165226aad,Structured Learning of Human Interactions in TV Shows,"Structured Learning
+of Human Interactions in TV Shows
+Alonso Patron-Perez, Member, IEEE, Marcin Marszalek,
+Ian Reid, Member, IEEE, and Andrew Zisserman"

+97865d31b5e771cf4162bc9eae7de6991ceb8bbf,Face and Gender Classification in Crowd Video,"Face and Gender Classification in Crowd Video
+Priyanka Verma
+IIIT-D-MTech-CS-GEN-13-100
+July 16, 2015
+Indraprastha Institute of Information Technology
+New Delhi
+Thesis Advisors
+Dr. Richa Singh
+Dr. Mayank Vatsa
+Submitted in partial fulfillment of the requirements
+for the Degree of M.Tech. in Computer Science
+(cid:13) Verma, 2015
+Keywords : Face Recognition, Gender Classification, Crowd database"

+97ede92a6a3579f9fc8ad7c179eaaf37b3966e5a,Bicycle tracking using ellipse extraction,"Bicycle Tracking Using Ellipse Extraction
+Tohid Ardeshiri, Fredrik Larsson, Fredrik Gustafsson, Thomas B. Sch¨on, Michael Felsberg
+Department of Electrical Engineering
+Link¨oping University
+Link¨oping, Sweden
+e-mail: {tohid, larsson, fredrik, schon,"

+978d9a5251028da5a23fd0aed8234ed22b4918c5,Reduced Eigen Space Dimensionality for Fast Face Recognition,"www.ijemr.net
+ISSN (ONLINE): 2250-0758, ISSN (PRINT): 2394-6962
+Volume-5, Issue-2, April-2015
+International Journal of Engineering and Management Research
+Page Number: 33-39
+Reduced Eigen Space Dimensionality for Fast Face Recognition
+Research Scholar, Department of Computer Science and Applications, Panjab University, Chandigarh, INDIA
+Professor, Department of Computer Science and Applications, Panjab University, Chandigarh, INDIA
+Davoud Aflakian1, M. Syamala Devi2"

+979f63114a30d60c5c06d4c9c18c8249c3a63099,Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations,"Synthetically Trained Neural Networks for Learning
+Human-Readable Plans from Real-World Demonstrations
+Jonathan Tremblay
+Thang To
+Artem Molchanov†
+Stephen Tyree
+Jan Kautz
+Stan Birchfield"

+9709d362a15414b062efa9cf4a212469af803a7a,Holistic Multi-modal Memory Network for Movie Question Answering,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Holistic Multi-modal Memory Network
+for Movie Question Answering
+Anran Wang, Anh Tuan Luu, Chuan-Sheng Foo, Hongyuan Zhu, Yi Tay, Vijay Chandrasekhar"

+9727c74a09aad74abd67ff1d2dff083cc73d4a2e,Visual Focus of Attention in Non-calibrated Environments using Gaze Estimation,"Int J Comput Vis
+DOI 10.1007/s11263-013-0691-3
+Visual Focus of Attention in Non-calibrated Environments using
+Gaze Estimation
+Stylianos Asteriadis · Kostas Karpouzis ·
+Stefanos Kollias
+Received: 24 May 2012 / Accepted: 2 December 2013
+© Springer Science+Business Media New York 2013"

+970e723404885e94e77780766b39ee951dd7abb3,Multimodal Learning of Geometry-Preserving Binary Codes for Semantic Image Retrieval,"IEICE TRANS. INF. & SYST., VOL.E100–D, NO.4 APRIL 2017
+INVITED PAPER SpecialSectiononAward-winningPapers
+Multimodal Learning of Geometry-Preserving Binary Codes for
+Semantic Image Retrieval
+Go IRIE†a), Hiroyuki ARAI†, Members, and Yukinobu TANIGUCHI††, Senior Member
+SUMMARY
+This paper presents an unsupervised approach to feature
+inary coding for ef‌f‌icient semantic image retrieval. Although the majority
+of the existing methods aim to preserve neighborhood structures of the fea-
+ture space, semantically similar images are not always in such neighbors
+ut are rather distributed in non-linear low-dimensional manifolds. More-
+over, images are rarely alone on the Internet and are often surrounded by
+text data such as tags, attributes, and captions, which tend to carry rich se-
+mantic information about the images. On the basis of these observations,
+the approach presented in this paper aims at learning binary codes for se-
+mantic image retrieval using multimodal information sources while pre-
+serving the essential low-dimensional structures of the data distributions in
+the Hamming space. Specifically, after finding the low-dimensional struc-
+tures of the data by using an unsupervised sparse coding technique, our
+pproach learns a set of linear projections for binary coding by solving an"

+9715aba0688195b2019d510ae3fd8da2e40f6e20,Evaluation of color spaces for person re-identification,"1st International Conference on Pattern Recognition (ICPR 2012)
+November 11-15, 2012. Tsukuba, Japan
+978-4-9906441-1-6 ©2012 IAPR"

+97d9c57576a573955c1b21b63f5b5ae44438e973,Discriminative on Multi - Manifolds,

+9755554b13103df634f9b1ef50a147dd02eab02f,How Transferable Are CNN-Based Features for Age and Gender Classification?,"How Transferable are CNN-based Features for
+Age and Gender Classification?
+Gökhan Özbulak1, Yusuf Aytar2 and Hazım Kemal Ekenel1"

+9794d69194ac772c3e92ee1f322a36feb3c16239,Hausdorff Artmap for Human Face Recognition,"HAUSDORFF ARTMAP FOR HUMAN FACE RECOGNITION
+ARIT THAMMANO AND CHONGKOLNEE RUNGRUANG
+Faculty of Information Technology
+King Mongkut’s Institute of Technology Ladkrabang,
+Bangkok, 10520 Thailand
+later
+received
+identification  has
+encompasses
+ll  of"

+63ebe80e020d902bc1fdc865c23a9ad7d1eac17a,Exploring the feasibility of subliminal priming on smartphones,"Exploring the Feasibility of Subliminal Priming on
+Anonymised for blind review
+Smartphones
+Affiliation
+City, Country
+e-mail address"

+63cf5fc2ee05eb9c6613043f585dba48c5561192,Prototype Selection for Classification in Standard and Generalized Dissimilarity Spaces Prototype Selection for Classification in Standard and Generalized Dissimilarity Spaces,"Prototype Selection for
+Classification in Standard
+nd Generalized
+Dissimilarity Spaces"

+63db312ec494988e1af0c1db5f9d9ca40ef89237,Vision Based Gesture Recognition : a Comprehensive Study,"REGULAR ISSUE
+ARTICLE
+VISION BASED GESTURE RECOGNITION: A COMPREHENSIVE
+STUDY
+A Balasundaram1*, C Chellappan 2
+Research Scholar, Department of CSE, G.K.M. College of Engineering and Technology, Chennai, INDIA
+Principal, G.K.M. College of Engineering and Technology, Chennai, INDIA"

+63f2c3e312d07c6452bdad0a8adef1b879950500,Multi-stage Sampling with Boosting Cascades for Pedestrian Detection in Images and Videos,"Multi-stage Sampling with Boosting Cascades
+for Pedestrian Detection in Images and Videos
+Giovanni Gualdi, Andrea Prati, and Rita Cucchiara
+University of Modena and Reggio Emilia(cid:2), Italy"

+63cbfc7bfabd1e234c779f8445ea775b74d8fbe8,Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks,"Adequacy of the Gradient-Descent Method for
+Classifier Evasion Attacks
+Yi Han
+School of Computing and Information Systems
+University of Melbourne
+Ben Rubinstein
+School of Computing and Information Systems
+University of Melbourne"

+63dbacac269c29b46b2b0bddbef828db025689dd,Deep Structure Inference Network for Facial Action Unit Recognition,"Deep Structure Inference Network for Facial Action Unit Recognition
+Ciprian A. Corneanu1, Meysam Madadi2,3, Sergio Escalera1,2
+Dept. Mathematics and Informatics, Universitat de Barcelona, Catalonia, Spain
+Computer Vision Center, Edifici O, Campus UAB, 08193 Bellaterra (Barcelona), Catalonia, Spain
+Dept. of Computer Science, Univ. Aut`onoma de Barcelona (UAB), 08193 Bellaterra, Catalonia, Spain"

+6358b95b1c97df4f10f57a90913f672e44d2094b,Opponent Colors for Human Detection,"Opponent Colors for Human Detection
+Rao Muhammad Anwer, David V´azquez, and Antonio M. L´opez
+Computer Vision Center and Computer Science Dpt.,
+Universitat Aut`onoma de Barcelona
+-- www.cvc.uab.es/adas
+Edifici O, 08193 Bellaterra, Barcelona, Spain"

+631d21e51ca9100f1eca3c80dcf42db81cfc7e2b,Interactive Person Following and Gesture Recognition with a Flying Robot,"Interactive Person Following and
+Gesture Recognition with a Flying Robot
+Tayyab Naseer*, J¨urgen Sturm†, Wolfram Burgard*, and Daniel Cremers†
+*Department of Computer Science, University of Freiburg, Germany
+Department of Computer Science, Technical University of Munich, Germany"

+637648198f9e91654ce27eaaa40512f2dc870fc1,Survey of Visual Question Answering: Datasets and Techniques,"Survey of Visual Question Answering: Datasets and Techniques
+Akshay Kumar Gupta
+Indian Institute of Technology Delhi"

+63b89e654124eb2b8edeeb82c6373bdcf228744e,Single-Image 3D Scene Parsing Using Geometric Commonsense,"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)
+image I3D	reconstructed	sceneFigure1:Single-view3DscenereconstructionusingGeometriccommonsense.Top:theworldisfullofcommonsenseovergeo-metricdimensions,e.g.,thatasedanisabout4.5meterslong.Bot-tom:exemplarresultoftheproposedmethod,includingsynthesizedimage(left),planarsegmentation(middle),anddepthmap(right).geometriccommonsensefor3Dsceneparsing.Suchapars-ingtaskaimstosegmentbothlow-levelsceneentities(e.g.,straightedges,semanticregions)andobject-levelsceneenti-ties(e.g.,human,vehicles)in2Dimages,andestimatetheirgeometricdimensionsinthe3Dworld[Hoiemetal.,2005;DelPeroetal.,2013;Liuetal.,2014;Wangetal.,2015a;Mottaghietal.,2016].Mostexisting3Dparsingalgo-rithms[Hoiemetal.,2008]aredesignedforaparticu-lartypeofscenecategories,e.g.,urban[Liuetal.,2014;Guptaetal.,2010],indoor[Wangetal.,2015b].Howev-er,apracticalAIsystem,e.g.,autonomousdriving,usuallyneedstodealwithawidevarietyofscenecategories.Oursolutiontotheabovechallengesismotivatedbythefactthatwehumanbeings,unconsciouslysometimes,uti-lizerichpriorknowledgeofthegeometricdimensionsofsceneentitiestounderstandthescenestructuresinimagesorvideos[Davisetal.,1993].Thisknowledgecanberoughlydividedintotwotypes:i)priordistributionsoverasingledi-mensionofobjects,e.g.,theheightofafemaleadultisabout1.75meters,orthatthelengthofasedanisabout4.5meters;ii)pair-wisecomparisonsbetweenthedimensionsofdifferentsceneentitiesatbothobject-level,e.g.,human,windows,ve-hicles,etc.,andpart-level,e.g.,straightedges,planarregions,etc.AsillustratedinFigure1,forexample,thewindowedgesonthesamefacadeareparalleltoeachotherandareorthog-onaltotheedgesontheground,abuildingishigherthanahuman,orthelengthofallsedansareroughlyequal.Theseu-naryandpair-wiseknowledge,onceacquired,arevalidacross"

+63c109946ffd401ee1195ed28f2fb87c2159e63d,Robust Facial Feature Localization Using Improved Active Shape Model and Gabor Filter,"MVA2011 IAPR Conference on Machine Vision Applications, June 13-15, 2011, Nara, JAPAN
+Robust Facial Feature Localization using Improved Active Shape
+Model and Gabor Filter
+Hui-Yu Huang
+Engineering, National Formosa University,
+Taiwan
+E-mail:"

+63db76fc3ab23beb921be682d70eb021cb6c4f16,How Polarized Have We Become? A Multimodal Classification of Trump Followers and Clinton Followers,

+634f698c05d640ab355e94a9a0cf9191891b3dcb,Video Face Recognition From A Single Still Image Using an Adaptive Appearance Model Tracker,"Video Face Recognition From A Single Still Image
+Using an Adaptive Appearance Model Tracker
+M. Ali Akber Dewan
+E. Granger, R. Sabourin
+G.-L. Marcialis, F. Roli
+School of Computing and Information
+Systems, Athabasca University
+Department of Automated Production
+Engineering, École de technologie supé-
+Department of Electrical and Electronic
+Engineering, University of Cagliari
+Edmonton, Canada
+rieure, Montreal, Canada
+Cagliari, Italy"

+631483c15641c3652377f66c8380ff684f3e365c,Sync-DRAW: Automatic GIF Generation using Deep Recurrent Attentive Architectures,"Sync-DRAW: Automatic Video Generation using Deep Recurrent
+A(cid:130)entive Architectures
+Gaurav Mi(cid:138)al∗
+Tanya Marwah∗
+IIT Hyderabad
+Vineeth N Balasubramanian
+IIT Hyderabad"

+636027f52ab111b2b22332ab2ec5346d03aac305,Unsupervised learning of foreground object detection,"Unsupervised learning of foreground object detection
+Ioana Croitoru · Simion-Vlad Bogolin · Marius Leordeanu"

+63cdf4aa1492c5c8fb109a1bf03af4844982e265,Reconstructing High-Resolution Face Models From Kinect Depth Sequences,"Reconstructing High-Resolution Face Models
+From Kinect Depth Sequences
+Enrico Bondi, Pietro Pala, Senior Member, IEEE, Stefano Berretti, Member, IEEE,
+nd Alberto Del Bimbo, Senior Member, IEEE"

+6372262685162f3f11ef7ac1882c327e98564875,A Survey of Approaches for Curve Based Facial Surface Representations For Three-Dimensional Face Recognition,"A Survey of Approaches for Curve Based Facial Surface Representations
+For Three-Dimensional Face Recognition
+Aouragh Salima1,3, Sbaa Salim2, Taleb-Ahmed Abdelmalik3
+Department of Electrical engineering, Kasdi Merbah University, Ouargla, Algeria.
+Department of Electrical engineering, Mohamed Kheider University, Biskra, Algeria.
+LAMIH UMR CNRS 8201 UVHC, University of Valenciennes and Hainaut Cambrésis, France."

+63c65e8584d2c3fb8833af772eb713f438cbdfe0,Exposing seam carving forgery under recompression attacks by hybrid large feature mining,"Cancún Center, Cancún, México, December 4-8, 2016
+978-1-5090-4846-5/16/$31.00 ©2016 IEEE"

+632fa986bed53862d83918c2b71ab953fd70d6cc,What Face and Body Shapes Can Tell About Height,"GÜNEL ET AL.: WHAT FACE AND BODY SHAPES CAN TELL ABOUT HEIGHT
+What Face and Body Shapes Can Tell
+About Height
+Semih Günel
+Helge Rhodin
+Pascal Fua
+CVLab
+EPFL,
+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"

+635bea02dae6d4402b53eb3b31930b53ef00adc0,Unsupervised Feature Learning for Dense Correspondences Across Scenes,"Unsupervised Feature Learning for Dense Correspondences
+cross Scenes
+Chao Zhang, Chunhua Shen, Tingzhi Shen
+v1 July 2014; v2 December 2014; v3 April 2015"

+63c71e317168d5b55dccaf5515ad96c9e87f7d9e,"Part-Based RDF for Direction Classification of Pedestrians, and a Benchmark","Part-based RDF for Direction Classification
+of Pedestrians, and a Benchmark
+Junli Tao and Reinhard Klette
+The .enpeda.. Project, Tamaki Campus
+The University of Auckland, Auckland, New Zealand"

+63344dee49a1ab7e27ac34eefc30fb948a0bf9bb,Geometry and Illumination Modelling for Scene Understanding,"Geometry and Illumination Modelling for Scene Understanding
+Principal Investigators: Jana Koˇseck´a and Dimitris Samaras
+Project Summary The goal this proposal is to develop unified framework for reasoning about
+objects, scenes and lighting from single and multiple views of indoors and outdoors environments.
+We propose computational models for semantic parsing of scenes which incorporate information
+bout the lighting and illumination to resolve the ambiguities of purely appearance based methods
+nd develop class of models where partial geometry and semantic information aid the process of
+recovery of illumination. The proposed work can be partitioned into three main research topics:
+. Supervised approach for semantic parsing of object and non-object categories using photo-
+metric, geometric and shadow cues.
+. Closing the loop on estimation of Illumination using coarse object models and geometric
+ontext.
+. Object recognition, change detection, scene matching and 3D reconstruction with dramatic
+hanges in illumination.
+We propose to study the interactions between appearance, geometry and lighting in the context
+of the problems outlined above and develop computational models which jointly consider these
+spects. In some cases different models will serve as preprocessing stage for the follow up prob-
+lems and in others they will interact jointly or in a feedback loop manner. For joint interactions
+final inference for estimation of semantic categories and illumination will be formulated in Markov
+Random field or Conditional Markov Random field using both photometric, geometric and illumi-"

+6388c3f3559b61632942856bbede67b724542c9e,Multi-Target Tracking Using Hierarchical Convolutional Features and Motion Cues,"(IJACSA) International Journal of Advanced Computer Science and Applications,
+Vol. 8, No. 11, 2017
+Multi-Target Tracking Using Hierarchical
+Convolutional Features and Motion Cues
+Heba Mahgoub, Khaled Mostafa, Khaled T. Wassif, Ibrahim Farag
+Faculty of Computers and Information
+Cairo University
+Cairo, Egypt"

+63f38f60022ab78aa5e47bd84070547409ab3cc8,The Use of Semantic Human Description as a Soft Biometric,"The Use of Semantic Human Description as a Soft Biometric
+Sina Samangooei
+Baofeng Guo
+Mark S. Nixon"

+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
+INGEGNERIA ELETTRONICA, INFORMATICA E DELLE
+TELECOMUNICAZIONI
+Ciclo XXVI
+Settore Concorsuale di afferenza: 09/H1
+Settore Scientifico disciplinare: ING-INF/05
+ADVANCED TECHNIQUES FOR FACE RECOGNITION
+UNDER CHALLENGING ENVIRONMENTS
+TITOLO TESI
+YUNLIAN SUN
+Presentata da:
+Coordinatore Dottorato
+ALESSANDRO VANELLI-CORALLI
+Relatore
+DAVIDE MALTONI
+Relatore
+MASSIMO TISTARELLI
+Esame finale anno 2014"

+6332a99e1680db72ae1145d65fa0cccb37256828,MASTER IN COMPUTER VISION AND ARTIFICIAL INTELLIGENCE REPORT OF THE RESEARCH PROJECT OPTION: COMPUTER VISION Pose and Face Recovery via Spatio-temporal GrabCut Human Segmentation,"MASTER IN COMPUTER VISION AND ARTIFICIAL INTELLIGENCE
+REPORT OF THE RESEARCH PROJECT
+OPTION: COMPUTER VISION
+Pose and Face Recovery via
+Spatio-temporal GrabCut Human
+Segmentation
+Author: Antonio Hernández Vela
+Date: 13/07/2010
+Advisor: Sergio Escalera Guerrero"

+63488398f397b55552f484409b86d812dacde99a,Learning Universal Multi-view Age Estimator by Video Contexts,"Learning Universal Multi-view Age Estimator by Video Contexts
+Zheng Song1, Bingbing Ni3, Dong Guo4, Terence Sim2, Shuicheng Yan1
+Department of Electrical and Computer Engineering, 2 School of Computing, National University of Singapore;
+{zheng.s,
+Advanced Digital Sciences Center, Singapore; 4 Facebook"

+63c022198cf9f084fe4a94aa6b240687f21d8b41,Consensus Message Passing for Layered Graphical Models,

+63c7c0511e82172b6b60af21e56df68e2c6ab228,Target-based evaluation of face recognition technology for video surveillance applications,"Target-based evaluation of face recognition
+technology for video surveillance applications
+Dmitry Gorodnichy and Eric Granger"

+0f5e10cfca126682e1bad1a07848919489df6a65,Facial emotion processing in patients with social anxiety disorder and Williams-Beuren syndrome: an fMRI study.,"Research Paper
+Facial emotion processing in patients with social
+nxiety disorder and Williams–Beuren syndrome:
+n fMRI study
+Cynthia Binelli, PhD; Armando Muñiz, MD; Susana Subira, MD, PhD;
+Ricard Navines, MD, PhD; Laura Blanco-Hinojo, MSc; Debora Perez-Garcia, BSc;
+Jose Crippa, MD, PhD; Magi Farré, MD, PhD; Luis Pérez-Jurado, MD, PhD;
+Jesus Pujol, MD, PhD; Rocio Martin-Santos, MD, PhD
+Background:  Social  anxiety  disorder  (SAD)  and  Williams–Beuren  syndrome  (WBS)  are  2  conditions  with  major  differences  in  terms  of
+genetics, development and cognitive profiles. Both conditions are associated with compromised abilities in overlapping areas, including so-
+ial approach, processing of social emotional cues and gaze behaviour, and to some extent they are associated with opposite behaviours in
+these domains. We examined common and distinct patterns of brain activation during a facial emotion processing paradigm in patients with
+SAD and WBS. Methods: We examined patients with SAD and WBS and healthy controls matched by age and laterality using functional
+MRI during the processing of happy, fearful and angry faces.  Results: We included 20 patients with SAD and 20 with WBS as well as
+0 matched controls in our study. Patients with SAD and WBS did not differ in the pattern of limbic activation. We observed differences in
+early visual areas of the face processing network in patients with WBS and differences in the cortical prefrontal regions involved in the top–
+down regulation of anxiety and in the fusiform gyrus for patients with SAD. Compared with those in the SAD and control groups, participants
+in the WBS group did not activate the right lateral inferior occipital cortex. In addition, compared with controls, patients with WBS hypoacti-
+vated the posterior primary visual cortex and showed significantly less deactivation in the right temporal operculum. Participants in the SAD
+group showed decreased prefrontal activation compared with those in the WBS and control groups. In addition, compared with controls,"

+0f0499989f3331396af94f92c29f2eda9b58d4dc,Object detection methods for robot grasping: Experimental assessment and tuning,"Object detection methods for robot
+grasping: Experimental assessment and
+tuning
+Ferran RIGUAL a,1, Arnau RAMISA a, Guillem ALENYA a and Carme TORRAS a
+Institut de Rob`otica i Inform`atica Industrial, CSIC-UPC, Barcelona"

+0f4b902a2e12378e0ac0cb6fff7dd4c5f81e2c0a,Capturing facial videos with Kinect 2.0: A multithreaded open source tool and database,"Capturing Facial Videos with Kinect 2.0:
+A Multithreaded Open Source Tool and Database
+Daniel Merget
+Tobias Eckl
+Institute for Human-Machine Communication, TUM, Germany
+Philipp Tiefenbacher
+Martin Schwoerer
+Gerhard Rigoll"

+0f5bf2a208d262aa0469bd3185f6e2e56acada81,Pose Estimation and Segmentation of People in 3D Movies,"Pose Estimation and Segmentation of People in 3D
+Movies
+Karteek Alahari, Guillaume Seguin, Josef Sivic, Ivan Laptev
+To cite this version:
+Karteek Alahari, Guillaume Seguin, Josef Sivic, Ivan Laptev. Pose Estimation and Segmentation of
+People in 3D Movies. ICCV - IEEE International Conference on Computer Vision, Dec 2013, Sydney,
+Australia. IEEE, pp.2112-2119, 2013, <10.1109/ICCV.2013.263>. <hal-00874884>
+HAL Id: hal-00874884
+https://hal.inria.fr/hal-00874884
+Submitted on 18 Oct 2013
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+0f65c91d0ed218eaa7137a0f6ad2f2d731cf8dab,Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition,"Multi-Directional Multi-Level Dual-Cross
+Patterns for Robust Face Recognition
+Changxing Ding, Jonghyun Choi, Dacheng Tao, Senior Member, IEEE, and Larry S. Davis, Fellow, IEEE"

+0f112e49240f67a2bd5aaf46f74a924129f03912,Age-Invariant Face Recognition,"Age-Invariant Face Recognition
+Unsang Park, Member, IEEE,
+Yiying Tong, Member, IEEE, and
+Anil K. Jain, Fellow, IEEE"

+0f07dcf92588945eb0d70893cdf0fe4a48552763,Detection- and Trajectory-Level Exclusion in Multiple Object Tracking,"Detection- and Trajectory-Level Exclusion in Multiple Object Tracking
+Anton Milan1
+Konrad Schindler2
+Stefan Roth1
+Department of Computer Science, TU Darmstadt
+Photogrammetry and Remote Sensing Group, ETH Z¨urich"

+0fbf59328d32e1a9950dfa08c3ec87eb94398651,Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks,"Beyond RGB: Very High Resolution Urban Remote
+Sensing With Multimodal Deep Networks
+Nicolas Audeberta,b,, Bertrand Le Sauxa, Sébastien Lefèvreb
+ONERA, The French Aerospace Lab, F-91761 Palaiseau, France
+Univ. Bretagne-Sud, UMR 6074, IRISA, F-56000 Vannes, France"

+0f4cfcaca8d61b1f895aa8c508d34ad89456948e,Local appearance based face recognition using discrete cosine transform,"LOCAL APPEARANCE BASED FACE RECOGNITION USING
+DISCRETE COSINE TRANSFORM  (WedPmPO4)
+Author(s) :"

+0fdcfb4197136ced766d538b9f505729a15f0daf,Multiple pattern classification by sparse subspace decomposition,"Multiple Pattern Classification by Sparse Subspace Decomposition
+Institute of Media and Information Technology, Chiba University
+Tomoya Sakai
+-33 Yayoi, Inage, Chiba, Japan"

+0fad544edfc2cd2a127436a2126bab7ad31ec333,Decorrelating Semantic Visual Attributes by Resisting the Urge to Share,"Decorrelating Semantic Visual Attributes by Resisting the Urge to Share
+Dinesh Jayaraman
+UT Austin
+Fei Sha
+Kristen Grauman
+UT Austin"

+0f085f389a52e13586fe50f2dae49e105225303f,Distribution-sensitive learning for imbalanced datasets,"Distribution-Sensitive
+Learning
+for Imbalanced
+Datasets
+Yale Songl, Louis-Philippe
+Morency2, and Randall Davisl
+MIT Computer Science and Artificial
+Intelligence
+Laboratory
+USC Institute
+for Creative Technology"

+0f708ace6f4829e466a8a549bd23f6fcf719ab9d,Multi-shot person re-identification via relational Stein divergence,"This is the author’s version of a work that was submitted/accepted for pub-
+lication in the following source:
+Alavi, Azadeh, Yang, Yan, Harandi, Mehrtash, & Sanderson, Conrad
+(2013)
+Multi-shot person re-identification via relational stein divergence. In
+ICIP 2013 Proceedings : 2013 IEEE International Conference on Image
+Processing, Institute of Electrical and Electronics Engineers, Inc., Mel-
+ourne Convention and Exhibition Centre, Melbourne, pp. 3542-3546.
+This file was downloaded from: https://eprints.qut.edu.au/71704/
+(cid:13) c(cid:13) 2013 by the Institute of Electrical and Electronics
+Engineers, Inc.
+Notice: Changes introduced as a result of publishing processes such as
+opy-editing and formatting may not be reflected in this document. For a
+definitive version of this work, please refer to the published source:
+https://doi.org/10.1109/ICIP.2013.6738731"

+0fe5d8acc77f54d60edc56c012f35517d9c861da,Interactive Stereoscopic Video Conversion,"Interactive Stereoscopic Video Conversion
+Zhebin Zhang, Chen Zhou, Yizhou Wang, and Wen Gao, Fellow, IEEE
+erial perspective,"

+0fd1715da386d454b3d6571cf6d06477479f54fc,A Survey of Autonomous Human Affect Detection Methods for Social Robots Engaged in Natural HRI,"J Intell Robot Syst (2016) 82:101–133
+DOI 10.1007/s10846-015-0259-2
+A Survey of Autonomous Human Affect Detection Methods
+for Social Robots Engaged in Natural HRI
+Derek McColl · Alexander Hong ·
+Naoaki Hatakeyama · Goldie Nejat ·
+Beno Benhabib
+Received: 10 December 2014 / Accepted: 11 August 2015 / Published online: 23 August 2015
+© Springer Science+Business Media Dordrecht 2015"

+0f08d62e882026ac83ebf26c0bd288c553873814,Multispecies Fruit Flower Detection Using a Refined Semantic Segmentation Network,"Multispecies fruit flower detection using a refined
+semantic segmentation network
+Philipe A. Dias1, Amy Tabb2, and Henry Medeiros1"

+0f94f4934d0a26dfd243852036468ecc9bf8d22c,Low Resolution Lidar-Based Multi-Object Tracking for Driving Applications,"Low resolution lidar-based multi-object tracking
+for driving applications
+Iv´an del Pino(cid:63), V´ıctor Vaquero(cid:63), Beatrice Masini,
+Joan Sol`a, Francesc Moreno-Noguer,
+Alberto Sanfeliu, and Juan Andrade-Cetto
+Institut de Rob`otica i Inform`atica Industrial, CSIC-UPC
+Llorens Artigas 4-6, 08028 Barcelona, Spain.
+http://www.iri.upc.edu"

+0f1392c1180582a45b42e621e1526f03cc6e9ca6,Learning with Hierarchical-Deep Models,"Learning with Hierarchical-Deep Models
+Ruslan Salakhutdinov, Joshua B. Tenenbaum, and Antonio Torralba"

+0fb75f5cb12d1e1a909b9f698b7617bb9603002f,Design of Weight-Learning Efficient Convolutional Modules in Deep Convolutional Neural Networks and its Application to Large-Scale Visual Recognition Tasks,"Data Analysis Project
+Design of Weight-Learning Ef‌f‌icient Convolutional Modules in Deep
+Convolutional Neural Networks and its Application to
+Large-Scale Visual Recognition Tasks
+Felix Juefei-Xu
+May 3, 2017"

+0f366de3ea595932dad06389f6e61fe0dd8cbe74,DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field,"Article
+DeepAnomaly: Combining Background Subtraction
+nd Deep Learning for Detecting Obstacles and
+Anomalies in an Agricultural Field
+Peter Christiansen 1,*, Lars N. Nielsen 2, Kim A. Steen 3, Rasmus N. Jørgensen 1 and
+Henrik Karstoft 1
+Department of Engineering, Aarhus University, Aarhus 8200, Denmark;
+(R.N.J.); (H.K.)
+Danske Commodities, Aarhus 8000, Denmark;
+AgroIntelli, Aarhus 8200, Denmark;
+* Correspondence: Tel.: +45-2759-2953
+Academic Editors: Gabriel Oliver-Codina, Nuno Gracias and Antonio M. López
+Received: 15 September 2016; Accepted: 7 November 2016; Published: 11 November 2016"

+0f92e9121e9c0addc35eedbbd25d0a1faf3ab529,MORPH-II: A Proposed Subsetting Scheme,"MORPH-II: A Proposed Subsetting Scheme
+Participants: K. Kempfert, J. Fabish, K. Park, and R. Towner
+Mentors: Y. Wang, C. Chen, and T. Kling
+NSF-REU Site at UNC Wilmington, Summer 2017"

+0ff23392e1cb62a600d10bb462d7a1f171f579d0,Toward Sparse Coding on Cosine Distance,"Toward	Sparse	Coding	on	Cosine
+Distance
+Jonghyun	Choi,	Hyunjong	Cho,	Jungsuk	Kwak#,
+Larry	S.	Davis
+UMIACS	|	University	of	Maryland,	College	Park
+#Stanford	University"

+0fd2956ef990443f584112fa093f85a90a43c4af,Performance Evaluation of Multi-camera Visual Tracking,"PEOPLE COUNT ESTIMATION IN SMALL CROWDS
+Pietro Morerio, Lucio Marcenaro, Carlo S. Regazzoni
+Department of Biophysical and Electronic Engineering
+University of Genoa, Genoa, Italy"

+0fcda01765c5a0b4cff99b5ed5139a6e1eddb689,Exploiting Long-Term Connectivity and Visual Motion in CRF-Based Multi-Person Tracking,"Exploiting Long-Term Connectivity and Visual
+Motion in CRF-Based Multi-Person Tracking
+Alexandre Heili, Student Member, IEEE, Adolfo López-Méndez, and Jean-Marc Odobez, Member, IEEE"

+0fcca61391e7ee7718f5d2c05adc658f2978a2e8,Spectral Face Recognition Using Orthogonal Subspace Bases,

+0f9bd0d528603654de2687d3ae2472a522607ee3,Semantics-aware visual localization under challenging perceptual conditions,"Semantics-aware Visual Localization
+under Challenging Perceptual Conditions
+Tayyab Naseer
+Gabriel L. Oliveira
+Thomas Brox
+Wolfram Burgard"

+0f395a49ff6cbc7e796656040dbf446a40e300aa,The Change of Expression Configuration Affects Identity-Dependent Expression Aftereffect but Not Identity-Independent Expression Aftereffect,"ORIGINAL RESEARCH
+published: 22 December 2015
+doi: 10.3389/fpsyg.2015.01937
+The Change of Expression
+Configuration Affects
+Identity-Dependent Expression
+Aftereffect but Not
+Identity-Independent Expression
+Aftereffect
+Miao Song 1, 2*, Keizo Shinomori 2, Qian Qian 3, Jun Yin 1 and Weiming Zeng 1
+College of Information Engineering, Shanghai Maritime University, Shanghai, China, 2 School of Information, Kochi University
+of Technology, Kochi, Japan, 3 Yunnan Key Laboratory of Computer Technology Applications, Kunming University of Science
+nd Technology, Kunming, China
+The present study examined the influence of expression configuration on cross-identity
+expression aftereffect. The expression configuration refers to the spatial arrangement
+of facial features in a face for conveying an emotion, e.g., an open-mouth smile vs.
+closed-mouth smile. In the first of two experiments, the expression aftereffect is
+measured using a cross-identity/cross-expression configuration factorial design. The
+facial
+identities of test faces were the same or different from the adaptor, while"

+0fb680b5136d80c13e8d15078ef18ca4aac269f6,Optimizing Deep Neural Network Architecture: A Tabu Search Based Approach,"Optimizing Deep Neural Network Architecture: A Tabu
+Search Based Approach
+Tarun Kumar Gupta and Khalid Raza*
+Department of Computer Science, Jamia Millia Islamia, New Delhi-110025"

+0f2a910f98e9955d2fbd4841d31b4943b91ab382,Creating and Annotating Affect Databases from Face and Body Display: A Contemporary Survey,"Creating and Annotating Affect Databases from Face and Body
+Display: A Contemporary Survey
+Hatice Gunes and Massimo Piccardi"

+0f29710e54f714eeea5233628afc68c680d881bb,Tracking Indistinguishable Translucent Objects over Time Using Weakly Supervised Structured Learning,"Tracking indistinguishable translucent objects over time
+using weakly supervised structured learning
+Luca Fiaschi1, Ferran Diego1, Konstantin Gregor1, Martin Schiegg1, Ullrich Koethe1, Marta Zlatic2 and
+Fred A. Hamprecht1
+HCI University of Heidelberg, Germany, http://hci.iwr.uni-heidelberg.de
+HHMI Janelia Farm, USA, http://janelia.org/"

+0ffee18b495830d373dbc65f67a452d94938900b,Registration-based moving object detection from a moving camera,"IROS 2008 2nd Workshop on Planning, Perception and Navigation for Intelligent Vehicles
+Registration-based moving object detection
+from a moving camera
+Angel D. Sappa, Fadi Dornaika, David Ger´onimo and Antonio L´opez"

+0f5275b472344dbfc4a26a9ba73dff23844b7e84,Head movements and postures as pain behavior,"RESEARCH ARTICLE
+Head movements and postures as pain
+ehavior
+Philipp Werner1*, Ayoub Al-Hamadi1, Kerstin Limbrecht-Ecklundt2, Steffen Walter3,
+Harald C. Traue3
+Neuro-Information Technology group, Institute for Information Technology and Communications, Otto-von-
+Guericke University Magdeburg, Magdeburg, Germany, 2 Department of Anesthesiology, University Medical
+Center Hamburg-Eppendorf, Hamburg, Germany, 3 Medical Psychology, University Clinic for Psychosomatic
+Medicine and Psychotherapy, Ulm, Germany
+1111111111
+1111111111
+1111111111
+1111111111
+1111111111"

+0f41f1a4bd5141184ee3ed3cf8874eeb396d7862,Deep Forest: Towards An Alternative to Deep Neural Networks,Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)

+0fd1bffb171699a968c700f206665b2f8837d953,Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning,"Weakly Supervised Object Localization with
+Multi-fold Multiple Instance Learning
+Ramazan Gokberk Cinbis, Jakob Verbeek, and Cordelia Schmid, Fellow, IEEE"

+0f82a869a80b6114bd16437dbf703bcae84da7b9,Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks,"Neural Activation Constellations: Unsupervised Part Model Discovery with
+Convolutional Networks
+Marcel Simon and Erik Rodner
+Computer Vision Group, University of Jena, Germany∗
+http://www.inf-cv.uni-jena.de/constellation_model_revisited"

+0fa42d4478b514b0f961e26bccbaf2b75d42e912,Extending UML for Conceptual Modeling of Annotation of Medical Images,"Extending UML for Conceptual Modeling of Annotation
+International Journal of Computer Applications (0975 – 8887)
+Volume 72– No.10, June 2013
+of Medical Images
+Mouhamed Gaith Ayadi
+Riadh Bouslimi
+Jalel Akaichi
+Department of computer
+sciences
+ISG university of Tunis
+Tunisia
+Department of computer
+sciences
+ISG university of Tunis
+Tunisia
+Department of computer
+sciences
+ISG university of Tunis
+Tunisia"

+0f25aa473e808de72c6975fdb1e3e65180a38c05,Bag of Soft Biometrics for Person Identification New trends and challenges,"Noname manuscript No.
+(will be inserted by the editor)
+Bag of Soft Biometrics for Person Identi(cid:12)cation
+New trends and challenges.
+Antitza Dantcheva (cid:1) Carmelo Velardo (cid:1)
+Angela D’Angelo (cid:1) Jean{Luc Dugelay
+Received: 01.08.2010 / Accepted: 11.10.2010"

+0ff14ec76e5fe7f17dce102e781ffce2738c8d4b,Real-time pedestrian detection in urban scenarios,"Real-time Pedestrian Detection in Urban Scenarios
+VARGA Robert, VESA Andreea Valeria, JEONG Pangyu, NEDEVSCHI Sergiu
+{robert.varga, pangyu.jeong,
+Technical University of Cluj Napoca
+Telephone: (800) 555–1212"

+0f556558853268d86cd05bf8ea42da6d7862a024,Shade Face: Multiple image-based 3D face recognition,"UWA Research Publication
+Mian, A. (2009). Shade Face: Multiple Image-based 3D Face Recognition. In R. Cipolla,
+M. Hebert, X. Tang, & N. Yokoya (Eds.), Proceedings of the 2009 IEEE International
+Workshop on 3-D Digital Imaging and Modeling (3DIM2009). (pp. 1833-1839). USA:
+IEEE Computer Society. 10.1109/ICCVW.2009.5457505
+© 2009 IEEE
+This is pre-copy-editing, author-produced version of an article accepted for publication,
+following peer review. The definitive published version is located at
+http://dx.doi.org/10.1109/ICCVW.2009.5457505
+This version was made available in the UWA Research Repository on 4 March 2015, in
+ompliance with the publisher’s policies on archiving in institutional repositories.
+Use of the article is subject to copyright law."

+0f2ffd582674bd856247bc5482d85e6db3b49b8f,A neural signature of the creation of social evaluation.,"doi:10.1093/scan/nst051
+SCAN (2014) 9, 731^736
+A neural signature of the creation of social evaluation
+Roman Osinsky,1 Patrick Mussel,1 Linda O¨ hrlein,1 and Johannes Hewig1,2
+Department of Psychology I, Julius-Maximilians-University Wu¨rzburg, 97070 Wu¨rzburg, Germany and 2Department of Psychology,
+Friedrich-Schiller-University Jena, 07743 Jena, Germany
+Previous research has shown that receiving an unfair monetary offer in economic bargaining elicits also-called feedback negativity (FN). This scalp-
+recorded brain potential probably reflects a bad-vs-good evaluation in the medial frontal cortex and has been linked to fundamental processes of
+reinforcement learning. In the present study, we investigated whether the evaluative mechanism indexed by the FN is also involved in learning who is an
+unfair vs fair bargaining partner. An electroencephalogram was recorded while participants completed a computerized version of the Ultimatum Game,
+repeatedly receiving fair or unfair monetary offers from alleged other participants. Some of these proposers were either always fair or always unfair in
+their offers. In each trial, participants first saw a portrait picture of the respective proposer before the monetary offer was presented. Therefore, the faces
+ould be used as predictive cues for the fairness of the pending offers. We found that not only unfair offers themselves induced a FN, but also (over the
+task) faces of unfair proposers. Thus, when interaction partners repeatedly behave in an unfair way, their faces acquire a negative valence, which
+manifests in a basal neural mechanism of bad-vs-good evaluation.
+Keywords: social evaluation; feedback negativity; ultimatum game; evaluative conditioning
+INTRODUCTION
+trading
+example,
+family, work,"

+0a811063cfd674275f91006d28cb8620c781e817,Image recognition based on hidden Markov eigen-image models using variational Bayesian method,"IMAGE RECOGNITION BASED ON
+HIDDEN MARKOV EIGEN-IMAGE MODELS
+USING VARIATIONAL BAYESIAN METHOD
+Kei Sawada, Kei Hashimoto,
+Yoshihiko Nankaku, Keiichi Tokuda
+Nagoya Institute of Technology
+APSIPA ASC 10/30/2013"

+0a2aca07c9e15de3d5924e156af9a8e1a67b4cab,Person Reidentification With Reference Descriptor,"Person Reidentification With Reference Descriptor
+Le An, Member, IEEE, Mehran Kafai, Member, IEEE, Songfan Yang, Member, IEEE,
+nd Bir Bhanu, Fellow, IEEE
+cross
+identification"

+0a1e3d271fefd506b3a601bd1c812a9842385829,Face Recognition Using 3D Directional Corner Points,"Face Recognition using 3D Directional Corner Points
+Author
+Yu, Xun, Gao, Yongsheng, Zhou, Jun
+Published
+Conference Title
+Pattern Recognition (ICPR), 2014 22nd International Conference on
+https://doi.org/10.1109/ICPR.2014.483
+Copyright Statement
+© 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 copyrighted component of this work in other
+works.
+Downloaded from
+http://hdl.handle.net/10072/66408
+Link to published version
+http://www.icpr2014.org/index.htm
+Griffith Research Online
+https://research-repository.griffith.edu.au"

+0a6d344112b5af7d1abbd712f83c0d70105211d0,Constrained Local Neural Fields for Robust Facial Landmark Detection in the Wild,"Constrained Local Neural Fields for robust facial landmark detection in the wild
+Tadas Baltruˇsaitis
+Peter Robinson
+University of Cambridge Computer Laboratory
+USC Institute for Creative Technologies
+5 JJ Thomson Avenue
+Louis-Philippe Morency
+2015 Waterfront Drive"

+0a55e4191c90ec1edb8d872237a2dacd5f6eda90,"Intentional Minds: A Philosophical Analysis of Intention Tested through fMRI Experiments Involving People with Schizophrenia, People with Autism, and Healthy Individuals","HUMAN NEUROSCIENCE
+Intentional minds: a philosophical analysis of intention tested
+through fMRI experiments involving people with
+schizophrenia, people with autism, and healthy individuals
+Review ARticle
+published: 02 February 2011
+doi: 10.3389/fnhum.2011.00007
+Bruno G. Bara1,2*, Angela Ciaramidaro1, Henrik Walter 3 and Mauro Adenzato1,2
+Department of Psychology, Center for Cognitive Science, University of Turin, Turin, Italy
+Neuroscience Institute of Turin, University of Turin, Turin, Italy
+Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Berlin, Germany
+Edited by:
+Ivan Toni, Radboud University,
+Netherlands
+Reviewed by:
+Ivan Toni, Radboud University,
+Netherlands
+Roel M. Willems, University of
+California Berkeley, USA
+*Correspondence:"

+0a391c4d7aafa73324549f212cf28640ed471a81,From Caregivers to Peers: Puberty Shapes Human Face Perception.,"663142 PSSXXX10.1177/0956797616663142Picci, ScherfPuberty Shapes Human Face Perception
+research-article2016
+Research Article
+From Caregivers to Peers: Puberty
+Shapes Human Face Perception
+Giorgia Picci and K. Suzanne Scherf
+Department of Psychology, Pennsylvania State University
+1 –13
+© The Author(s) 2016
+Reprints and permissions:
+sagepub.com/journalsPermissions.nav
+DOI: 10.1177/0956797616663142
+pss.sagepub.com"

+0a66015112da542b9b6687e4b3c9ff73565d0844,A k-NN Approach for Scalable Image Annotation Using General Web Data,"A k-NN Approach for Scalable Image Annotation
+Using General Web Data
+Mauricio Villegas and Roberto Paredes
+Institut Tecnol`ogic d’Inform`atica
+Universitat Polit`ecnica de Val`encia
+Cam´ı de Vera s/n, 46022 Val`encia, Spain"

+0a058caa89d195930224148d3d2897c0c08fc668,Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning,"Metric Embedding Autoencoders for
+Unsupervised Cross-Dataset Transfer Learning
+Alexey Potapov1,3, Sergey Rodionov1,2, Hugo Latapie4, and Enzo Fenoglio4
+SingularityNET Foundation
+Novamente LLC
+ITMO University, St. Petersburg, Russia
+Chief Technology & Architecture Of‌f‌ice, Cisco"

+0a3863a0915256082aee613ba6dab6ede962cdcd,Early and Reliable Event Detection Using Proximity Space Representation,"Early and Reliable Event Detection Using Proximity Space Representation
+Maxime Sangnier
+LTCI, CNRS, T´el´ecom ParisTech, Universit´e Paris-Saclay, 75013, Paris, France
+J´erˆome Gauthier
+LADIS, CEA, LIST, 91191, Gif-sur-Yvette, France
+Alain Rakotomamonjy
+Normandie Universit´e, UR, LITIS EA 4108, Avenue de l’universit´e, 76801, Saint-Etienne-du-Rouvray, France"

+0ad4a9fad873e9c4914fd2464404b211f295d7b6,New insights into Laplacian similarity search,"New Insights into Laplacian Similarity Search
+Xiao-Ming Wu1, Zhenguo Li2, Shih-Fu Chang1
+Department of Electrical Engineering, Columbia University. 2Huawei Noah’s Ark Lab, Hong Kong.
+(a) Λ = I, AP = 0.14
+(b) Λ = D, AP = 0.67
+(c) Λ = H, AP = 0.67
+(a) Λ = I, AP = 0.27
+(b) Λ = D, AP = 0.17
+(c) Λ = H, AP = 0.27
+Figure 1: Top 40 retrieved images on extended YaleB, with false images
+highlighted in blue box (query on top left comes from the sparsest cluster).
+Figure 2: Top 40 retrieved images on CIFAR-10, with positive images high-
+lighted in magenta box (query on top left comes from the densest cluster).
+Similarity metrics are important building blocks of many visual applica-
+tions such as image retrieval, image segmentation, and manifold learning.
+Well-known similarity metrics include personalized PageRank, hitting and
+ommute times, and the pseudo-inverse of graph Laplacian. Despite their
+popularity, the understanding of their behaviors is far from complete, and
+their use in practice is mostly guided by empirical trials and error analy-
+sis. This paper bridges this gap by investigating the fundamental design of"

+0a6a173a1d1d36285bae97f98f4b901067d40097,Similarity learning on an explicit polynomial kernel feature map for person re-identification,"Similarity Learning on an Explicit Polynomial Kernel Feature Map for Person
+Re-Identification
+Dapeng Chen y, Zejian Yuan y, Gang Huaz, Nanning Zhengy, Jingdong Wang x
+y Xi’an Jiaotong University
+zStevens Institute of Technology
+xMicrosoft Research"

+0a60e76e6983e1647469172a50907023913b0c9f,Longitudinal study of amygdala volume and joint attention in 2- to 4-year-old children with autism.,"ORIGINAL ARTICLE
+Longitudinal Study of Amygdala Volume and Joint
+Attention in 2- to 4-Year-Old Children With Autism
+Matthew W. Mosconi, PhD; Heather Cody-Hazlett, PhD; Michele D. Poe, PhD;
+Guido Gerig, PhD; Rachel Gimpel-Smith, BA; Joseph Piven, MD
+Context: Cerebral cortical volume enlargement has been
+reported in 2- to 4-year-olds with autism. Little is known
+bout the volume of subregions during this period of de-
+velopment. The amygdala is hypothesized to be abnormal
+in volume and related to core clinical features in autism.
+Objectives: To examine amygdala volume at 2 years with
+follow-up at 4 years of age in children with autism and
+to explore the relationship between amygdala volume and
+selected behavioral features of autism.
+Design: Longitudinal magnetic resonance imaging study.
+Setting: University medical setting.
+Participants: Fifty autistic and 33 control (11 devel-
+opmentally delayed, 22 typically developing) children be-
+tween 18 and 35 months (2 years) of age followed up at
+2 to 59 months (4 years) of age."

+0a81810af97e8ab5b8c483209b4d0ff7210436f9,Human Joint Angle Estimation and Gesture Recognition for Assistive Robotic Vision,"Human Joint Angle Estimation and Gesture Recognition
+for Assistive Robotic Vision
+Alp Guler1, Nikolaos Kardaris2, Siddhartha Chandra1, Vassilis Pitsikalis2, Christian
+Werner3, Klaus Hauer3, Costas Tzafestas2, Petros Maragos2, Iasonas Kokkinos1
+(1) INRIA GALEN & Centrale Sup´elec Paris,
+(2) National Technical University of Athens, (3) University of Heidelberg"

+0adffd02029363c204a561092e1e0cc05cacfee7,A New Method for Static Video Summarization Using Local Descriptors and Video Temporal Segmentation,"A New Method for Static Video Summarization
+Using Local Descriptors and Video Temporal
+Segmentation
+Edward J. Y. Cayllahua Cahuina
+Computer Research Center
+San Pablo Catholic University
+Arequipa, Peru
+Email:
+Guillermo Camara Chavez
+Department of Computer Science
+Federal university of Ouro Preto
+Ouro Preto, Brazil
+Email:"

+0a60d9d62620e4f9bb3596ab7bb37afef0a90a4f,Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates,"Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates. GCPR 2016
+(cid:13) Copyright by Springer. The final publication will be available at link.springer.com
+A. Freytag, E. Rodner, M. Simon, A. Loos, H. K¨uhl and J. Denzler
+Chimpanzee Faces in the Wild:
+Log-Euclidean CNNs for Predicting Identities
+nd Attributes of Primates
+Alexander Freytag1,2, Erik Rodner1,2, Marcel Simon1, Alexander Loos3,
+Hjalmar S. K¨uhl4,5, and Joachim Denzler1,2,5
+Computer Vision Group, Friedrich Schiller University Jena, Germany
+Michael Stifel Center Jena, Germany
+Fraunhofer Institute for Digital Media Technology, Germany
+Max Planck Institute for Evolutionary Anthropology, Germany
+5German Centre for Integrative Biodiversity Research (iDiv), Germany"

+0a773ed20a5920897788dd6f0d63c20defca8ab0,ConceptLearner: Discovering visual concepts from weakly labeled image collections,"ConceptLearner: Discovering Visual Concepts from Weakly Labeled Image
+Collections
+Bolei Zhou†, Vignesh Jagadeesh‡, Robinson Piramuthu‡
+MIT ‡eBay Research Labs"

+0ad0a1293f80c838c843726eeddf5a97f33f0c89,Understanding image virality,"Understanding Image Virality
+Arturo Deza
+UC Santa Barbara
+Devi Parikh
+Virginia Tech"

+0aa9872daf2876db8d8e5d6197c1ce0f8efee4b7,Timing is everything : a spatio-temporal approach to the analysis of facial actions,"Imperial College of Science, Technology and Medicine
+Department of Computing
+Timing is everything
+A spatio-temporal approach to the analysis of facial
+ctions
+Michel Fran¸cois Valstar
+Submitted in part fulfilment of the requirements for the degree of
+Doctor of Philosophy in Computing of Imperial College, February 2008"

+0adb5923fb1955f7ca0a85454afe17e5d25425df,Crowd motion monitoring using tracklet-based commotion measure,"CROWD MOTION MONITORING USING TRACKLET-BASED COMMOTION MEASURE
+Hossein Mousavi*
+Moin Nabi* Hamed Kiani
+Alessandro Perina
+Vittorio Murino
+Pattern Analysis and Computer Vision Department (PAVIS)
+Istituto Italiano di Tecnologia
+Genova, Italy"

+0a87d781fe2ae2e700237ddd00314dbc10b1429c,Multi-scale HOG Prescreening Algorithm for Detection of Buried Explosive Hazards in FL-IR and FL-GPR Data,"Distribution Statement A:  Approved for public release; distribution unlimited.
+Multi-scale HOG Prescreening Algorithm for Detection of Buried
+Explosive Hazards in FL-IR and FL-GPR Data
+*University of Missouri, Electrical and Computer Engineering Department, Columbia, MO
+K. Stone*, J. M. Keller*, D. Shaw*"

+0ae07f24251946b2086fb992031c298ada2805de,Exemplar-AMMs: Recognizing Crowd Movements From Pedestrian Trajectories,"JOURNAL OF LATEX CLASS FILES, VOL. 13, NO. 9, SEPTEMBER 2014
+Exemplar-AMMs: Recognizing Crowd Movements
+from Pedestrian Trajectories
+Wenxi Liu, Rynson W.H. Lau, Xiaogang Wang, Dinesh Manocha"

+0af65df112db18248ed24a1c0fb5fe8524015336,Contour Segment Analysis for Human Silhouette Pre-segmentation,"Author manuscript, published in ""5th International Conference on Computer Vision Theory and Applications (VISAPP 2010),
+Angers : France (2010)"""

+0ae3182836b1b962902d664ddd524e8554b742cf,Integrating Context and Occlusion for Car Detection by Hierarchical And-Or Model,"Integrating Context and Occlusion for Car
+Detection by Hierarchical And-Or Model
+Bo Li1,2, Tianfu Wu2,(cid:2), and Song-Chun Zhu2
+Beijing Lab of Intelligent Information Technology, Beijing Institute of Technology
+Department of Statistics, University of California, Los Angeles"

+0a7a7b3f05918fb4fc33f04cb7e31232fa197f76,Fitting a Morphable Model to 3D Scans of Faces,"Fitting a Morphable Model to 3D Scans of Faces
+Volker Blanz
+Universit¤at Siegen,
+Siegen, Germany
+Kristina Scherbaum
+MPI Informatik,
+Saarbr¤ucken, Germany
+Hans-Peter Seidel
+MPI Informatik,
+Saarbr¤ucken, Germany"

+0a3051c8dde80975640d42dca21fac17ed60f987,A Hierarchical Switching Linear Dynamical System Applied to the Detection of Sepsis in Neonatal Condition Monitoring,

+0a8ab703839ae585c2f27099616c40974cbeeda2,"Fast, Exact and Multi-scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs","Fast, Exact and Multi-Scale Inference for Semantic
+Image Segmentation with Deep Gaussian CRFs
+Siddhartha Chandra
+Iasonas Kokkinos
+INRIA GALEN & Centrale Sup´elec, Paris, France"

+0a2d2b79ba39e2140c93543b8ce873f106c08e3d,Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples,"Semi-Supervised Sparse Representation Based
+Classification for Face Recognition with Insufficient
+Labeled Samples
+Yuan Gao, Jiayi Ma, and Alan L. Yuille Fellow, IEEE"

+0af48a45e723f99b712a8ce97d7826002fe4d5a5,Toward Wide-Angle Microvision Sensors,"Toward Wide-Angle Microvision Sensors
+Sanjeev J. Koppal, Member, IEEE, Ioannis Gkioulekas, Student Member, IEEE,
+Travis Young, Member, IEEE, Hyunsung Park, Student Member, IEEE,
+Kenneth B. Crozier, Member, IEEE, Geoffrey L. Barrows, Member, IEEE, and
+Todd Zickler, Member, IEEE"

+0a4ba4d5bd6e07a31fa4586322fd5e07d9f9975e,Online Bayesian Nonparametrics for Group Detection,"ZANOTTO, BAZZANI, CRISTANI, MURINO: ONLINE BNP FOR GROUP DETECTION
+Online Bayesian Nonparametrics for Group
+Detection
+Matteo Zanotto
+Loris Bazzani
+Marco Cristani
+Vittorio Murino
+Pattern Analysis & Computer Vision
+Istituto Italiano di Tecnologia
+Via Morego 30 - 16163
+Genova, Italy"

+0aa8a0203e5f406feb1815f9b3dd49907f5fd05b,Mixture Subclass Discriminant Analysis,"Mixture subclass discriminant analysis
+Nikolaos Gkalelis, Vasileios Mezaris, Ioannis Kompatsiaris"

+0a7309147d777c2f20f780a696efe743520aa2db,Stories for Images-in-Sequence by using Visual and Narrative Components,"Stories for Images-in-Sequence by using Visual
+nd Narrative Components (cid:63)
+Marko Smilevski1,2, Ilija Lalkovski2, and Gjorgji Madjarov1,3
+Ss. Cyril and Methodius University, Skopje, Macedonia
+Pendulibrium, Skopje, Macedonia
+Elevate Global, Skopje, Macedonia"

+0a40415bdfe4bc9ef7e019e4f1442a9fb61f58b2,Automatic Discovery and Geotagging of Objects from Street View Imagery,"Automatic Discovery and Geotagging of Objects from Street View Imagery
+Vladimir A. Krylov
+Eamonn Kenny
+Rozenn Dahyot
+ADAPT Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland"

+0ad90ad5d2050ebaba5b5cddeb474c7d889bec3e,A Unified Semantic Embedding: Relating Taxonomies and Attributes,"A Unified Semantic Embedding:
+Relating Taxonomies and Attributes
+Sung Ju Hwang∗
+Disney Research
+Pittsburgh, PA"

+0a8c6b40d6ca75bc1995083825e362137b130624,Nonparametric Method for Data-driven Image Captioning,"Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Short Papers), pages 592–598,
+Baltimore, Maryland, USA, June 23-25 2014. c(cid:13)2014 Association for Computational Linguistics"

+0a1138276c52c734b67b30de0bf3f76b0351f097,Discriminant Incoherent Component Analysis,"This is the author's version of an article that has been published in this journal. Changes were made to this version by the publisher prior to publication.
+The final version of record is available at
+http://dx.doi.org/10.1109/TIP.2016.2539502
+Discriminant Incoherent Component Analysis
+Christos Georgakis, Student Member, IEEE, Yannis Panagakis, Member, IEEE, and Maja Pantic, Fellow, IEEE"

+0a572c16e635312f118d1a53f0ff6446402d3c32,Learning with proxy supervision for end-to-end visual learning,"Learning with Proxy Supervision for End-To-End Visual Learning
+Jiˇr´ı ˇCerm´ak1∗ Anelia Angelova2"

+0a6a25ee84fc0bf7284f41eaa6fefaa58b5b329a,Neural Networks Regularization Through Representation Learning,"THÈSEPour obtenir le diplôme de doctorat Spécialité Informatique Préparée au sein de « l'INSA Rouen Normandie » Présentée et soutenue parSoufiane BELHARBIThèse dirigée par Sébastien ADAM, laboratoire LITIS Neural Networks Regularization Through Representation LearningThèse soutenue publiquement le 06 Juillet 2018 devant le jury composé deSébastien ADAMProfesseur à l'Université de Rouen NormandieDirecteur de thèseClément CHATELAINMaître de conférence à l'INSA  Rouen NormandieEncadrant de thèseRomain HÉRAULTMaître de conférence à l'INSA  Rouen NormandieEncadrant de thèseElisa FROMONTProfesseur à l'Université de Rennes 1Rapporteur de thèseThierry ARTIÈRESProfesseur à l'École Centrale MarseilleRapporteur de thèseJohn LEEProfesseur à l'Université Catholique de LouvainExaminateur de thèseDavid PICARDMaître de conférences à l'École Nationale Supérieure de l'Électronique et de ses ApplicationsExaminateur de thèseFrédéric JURIEProfesseur à l' Université de Caen NormandieInvité"

+0ae9cc6a06cfd03d95eee4eca9ed77b818b59cb7,"Multi-task, multi-label and multi-domain learning with residual convolutional networks for emotion recognition","Noname manuscript No.
+(will be inserted by the editor)
+Multi-task, multi-label and multi-domain learning with
+residual convolutional networks for emotion recognition
+Gerard Pons · David Masip
+Received: date / Accepted: date"

+0acf23485ded5cb9cd249d1e4972119239227ddb,Dual coordinate solvers for large-scale structural SVMs,"Dual coordinate solvers for large-scale structural SVMs
+Deva Ramanan
+UC Irvine
+This manuscript describes a method for training linear SVMs (including binary SVMs, SVM regression,
+nd structural SVMs) from large, out-of-core training datasets. Current strategies for large-scale learning fall
+into one of two camps; batch algorithms which solve the learning problem given a finite datasets, and online
+lgorithms which can process out-of-core datasets. The former typically requires datasets small enough to fit
+in memory. The latter is often phrased as a stochastic optimization problem [4, 15]; such algorithms enjoy
+strong theoretical properties but often require manual tuned annealing schedules, and may converge slowly
+for problems with large output spaces (e.g., structural SVMs). We discuss an algorithm for an “intermediate”
+regime in which the data is too large to fit in memory, but the active constraints (support vectors) are small
+enough to remain in memory.
+In this case, one can design rather ef‌f‌icient learning algorithms that are
+s stable as batch algorithms, but capable of processing out-of-core datasets. We have developed such a
+MATLAB-based solver and used it to train a series of recognition systems [19, 7, 21, 12] for articulated pose
+estimation, facial analysis, 3D object recognition, and action classification, all with publicly-available code.
+This writeup describes the solver in detail.
+Approach: Our approach is closely based on data-subsampling algorithms for collecting hard exam-
+ples [9, 10, 6], combined with the dual coordinate quadratic programming (QP) solver described in liblinear
+[8]. The latter appears to be current fastest method for learning linear SVMs. We make two extensions (1)"

+0aaa66501298c3df27293eca7906e93d8013b729,Fast HOG based person detection devoted to a mobile robot with a spherical camera,"Fast HOG based Person Detection devoted to a Mobile Robot with a
+Spherical Camera
+A. A. Mekonnen1, C. Briand1, F. Lerasle1, A. Herbulot1"

+0a20e2fbe52efdb794b7566ce5233c41f4c5efc9,Monocular visual scene understanding from mobile platforms,"Monocular Visual Scene
+Understanding
+from Mobile Platforms
+A dissertation for the degree of
+Doktor-Ingenieur (Dr.-Ing.)
+pproved by
+TECHNISCHE UNIVERSITÄT DARMSTADT
+Fachbereich Informatik
+presented by
+CHRISTIAN ALEXANDER WOJEK
+Dipl.-Inform.
+orn in Schillingsfürst, Germany
+Examiner:
+Prof. Dr. Bernt Schiele
+Co-examiner: Prof. Dr. Luc Van Gool
+Date of Submission: 14th of May, 2010
+0th of June, 2010
+Date of Defense:
+Darmstadt, 2010"

+64a6c30ca95e85427c56acb4c1c20f62c6ec0709,PersonNet: Person Re-identification with Deep Convolutional Neural Networks,"PersonNet: Person Re-identification with Deep
+Convolutional Neural Networks
+Lin Wu, Chunhua Shen, Anton van den Hengel"

+64c9cc92ea496b9053fa5326567487b5f08bb13f,3D Human Face Recognition Using Summation Invariants,"(cid:176)2006 IEEE. Personal use of this material is permitted.
+However, permission to reprint/republish this material for ad-
+vertising or promotional purposes or for creating new collec-
+tive works for resale or redistribution to servers or lists, or to
+reuse any copyrighted component of this work in other works
+must be obtained from the IEEE."

+647c6ac5e0bfee0241d583650f18c6314f28aaee,Segmentation Driven Object Detection with Fisher Vectors,"Segmentation Driven Object Detection with Fisher Vectors
+Ramazan Gokberk Cinbis
+Jakob Verbeek Cordelia Schmid
+LEAR, INRIA Grenoble - Rhˆone-Alpes, France
+Laboratoire Jean Kuntzmann"

+6412d8bbcc01f595a2982d6141e4b93e7e982d0f,"Deep Convolutional Neural Network Using Triplets of Faces, Deep Ensemble, and Score-Level Fusion for Face Recognition","Deep Convolutional Neural Network using Triplets of Faces, Deep Ensemble, and
+Score-level Fusion for Face Recognition
+Bong-Nam Kang, Student Member, IEEE1, Yonghyun Kim, Student Member, IEEE2, and
+Daijin Kim, Member, IEEE2
+Department of Creative IT Engineering, POSTECH, Korea
+Department of Computer Science and Engineering, POSTECH, Korea
+{bnkang, gkyh0805,"

+641f0989b87bf7db67a64900dcc9568767b7b50f,Reconstructing faces from their signatures using RBF regression,"Reconstructing Faces from their Signatures using RBF
+Regression
+Alexis Mignon, Fr´ed´eric Jurie
+To cite this version:
+Alexis Mignon, Fr´ed´eric Jurie. Reconstructing Faces from their Signatures using RBF Regres-
+sion. British Machine Vision Conference 2013, Sep 2013, Bristol, United Kingdom. pp.103.1–
+03.12, 2013, <10.5244/C.27.103>. <hal-00943426>
+HAL Id: hal-00943426
+https://hal.archives-ouvertes.fr/hal-00943426
+Submitted on 13 Feb 2014
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+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"

+64fb6c31033e38eaaa10c0f7c2b7995f8fa84de3,Visualizing Video Sounds through Sound Word Animation,"VISUALIZING VIDEO SOUNDS THROUGH
+SOUND WORD ANIMATION
+擬音語アニメーションによる動画音響の可視化手法
+Fangzhou Wang
+A Master Thesis
+Submitted to
+the Graduate School of the University of Tokyo
+on February 20, 2014
+in Partial Ful(cid:12)llment of the Requirements
+for the Degree of Master of Information Science and
+Technology
+in Computer Science
+Thesis Supervisor: Takeo Igarashi 五十嵐健夫
+Professor of Computer Science"

+6483ebbb9c28024431c8ada03354217453ca1b3b,Statement in Lieu of an Oath,"Universit¨at des Saarlandes
+Max-Planck-Institut f¨ur Informatik
+Learning to Track Humans in Videos
+Master’s Thesis in Computer Science
+Mihai Fieraru
+supervised by
+Prof. Dr. Bernt Schiele
+dvised by
+MSc Anna Khoreva
+MSc Eldar Insafutdinov
+reviewers
+Prof. Dr. Bernt Schiele
+Dr. Mario Fritz
+Saarbr¨ucken, December 2017"

+64be271fd50fce1cf8434020145a1b6e16f75c1a,Intrinsic Divergence for Face Recognition,"Centre for Theoretical Neuroscience
+Technical Report
+UW-CTN-TR-20090204-001
+February 4, 2009
+Intrinsic Divergence for Face
+Recognition
+Yichuan Tang and Xuan Choo
+Centre for Theoretical Neuroscience, Waterloo, ON. http://compneuro.uwaterloo.ca/cnrglab"

+646fa86edc22ccc452a44ac7a5953ba62fc0929b,Recognizing jumbled images: The role of local and global information in image classification,"The Role of Local and Global Information in Image Classification
+Recognizing Jumbled Images:
+Toyota Technological Institute, Chicago (TTIC)
+Devi Parikh"

+6475c1e95da0a3bd36786a32d00a893d85460e9e,Combined image- and world-space tracking in traffic scenes,"Combined Image- and World-Space Tracking in Traffic Scenes
+Aljoˇsa Oˇsep, Wolfgang Mehner, Markus Mathias, and Bastian Leibe"

+643abe6001946ebb7e262465edcf78d600c38f4f,The COST292 experimental framework for TRECVID 2007,"The COST292 experimental framework for TRECVID 2007
+Q. Zhang1, K. Chandramouli1, U. Damnjanovic1, T. Piatrik1, E. Izquierdo1,
+M. Corvaglia2, N. Adami2, R. Leonardi2, G. Yakın3, S. Aksoy3, U. Naci4,
+A. Hanjalic4, S. Vrochidis5, A. Moumtzidou5, S. Nikolopoulos5, V. Mezaris5,
+L. Makris5, I. Kompatsiaris5, E. Esen6, A. Alatan6, E. Spyrou7,
+P. Kapsalas7, G. Tolias7, P. Mylonas7, Y. Avrithis7, B. Reljin8, G. Zajic8,
+R. Jarina9, M. Kuba9, N. Aginamo10, J. Goya10, B. Mansencal11,
+J. Benois-Pineau11, A. M. G. Pinheiro12, L. A. Alexandre12, P. Almeida12
+October 22, 2007"

+64153df77fe137b7c6f820a58f0bdb4b3b1a879b,Shape Invariant Recognition of Segmented Human Faces using Eigenfaces,"Shape Invariant Recognition of Segmented Human
+Faces using Eigenfaces
+Zahid Riaz, Michael Beetz, Bernd Radig
+Department of Informatics
+Technical University of Munich, Germany"

+64c78c8bf779a27e819fd9d5dba91247ab5a902b,Tracking with multi-level features,"Tracking with multi-level features
+Roberto Henschel, Laura Leal-Taix´e, Bodo Rosenhahn, Konrad Schindler"

+64e0bd1210f180e0610b2a1faa188051a1de29bf,Combining Detectors for Robust Head Detection,"Combining Detectors for Robust Head Detection
+Henrik Brauer, Christos Grecos and Kai von Luck
+Living Place - HAW Hamburg
+Berliner Tor 11
+0099 Hamburg, Germany"

+649eb674fc963ce25e4e8ce53ac7ee20500fb0e3,Toward correlating and solving abstract tasks using convolutional neural networks,

+64f6f1cd23bbac1983ad4115475e4ef26ab86ba4,Person re-identification by unsupervised video matching,"Person Re-Identification by Unsupervised Video Matching
+Xiaolong Ma1,4, Xiatian Zhu2, Shaogang Gong2, Xudong Xie1, Jianming Hu1, Kin-Man Lam3, Yisheng Zhong1"

+6434b95401aea9ece22b2b29950118afc163c2db,Localized anomaly detection via hierarchical integrated activity discovery,"THIS PAPER APPEARED IN IEEE INT. CONF. ON ADVANCED VIDEO AND SIGNAL-BASED PROCESSING (AVSS), KRAKOW, 2013
+Localized Anomaly Detection via Hierarchical Integrated Activity Discovery
+Thiyagarajan Chockalingam1
+R´emi Emonet2
+http://home.heeere.com
+Jean-Marc Odobez2,3
+: Colorado State University – Fort Collins, CO 80523, United States
+: Idiap Research Institute – CH-1920, Martigny, Switzerland
+: ´Ecole Polytechnique F´ed´eral de Lausanne – CH-1015, Lausanne, Switzerland"

+6497eb53fd7d3ff09190566be8099016fb49f801,Biometric Sensor Interoperability: A Case Study in 3D Face Recognition,

+64cac22210861d4e9afb00b781da90cf99f9d19c,Facial Landmark Detection for Manga Images,"Noname manuscript No.
+(will be inserted by the editor)
+Facial Landmark Detection for Manga Images
+Marco Stricker · Olivier Augereau ·
+Koichi Kise · Motoi Iwata
+Received: date / Accepted: date"

+64d1fcc26c2af47c8ed7436fe91546ba5bfc7a1f,Disentangling Multiple Conditional Inputs in GANs,"Disentangling Multiple Conditional Inputs in GANs
+Gökhan Yildirim
+Urs Bergmann
+Zalando Research
+Zalando Research
+Berlin, Germany
+Berlin, Germany
+Calvin Seward∗
+Zalando Research
+Berlin, Germany
+process. Researchers have achieved control of image generation by
+using GANs that are conditioned on a categorical input [12, 13].
+In this paper, we employ conditional GANs to control the visual
+ttributes, such as color, texture, and shape, of a generated apparel.
+One of the main challenges of the conditional image generation
+GANs is to isolate the effects of input attributes on the final image.
+For example, we want the color of an article to stay constant, when
+we tune its texture and/or shape. One possibility would be to employ
+Adversarial Autoencoders [11] or DNA-GAN [17] to disentangle
+the inputs. However, this requires an exhaustive dataset, in other"

+641fd2edcf93fa29181952356e93a83a26012aa2,Following are some examples from CIFAR dataset : Goal : To alter the training criteria to obtain ‘ objectness ’ in the synthesis of images,"Published as a conference paper at ICLR 2017
+IMPROVING GENERATIVE ADVERSARIAL NETWORKS
+WITH DENOISING FEATURE MATCHING
+David Warde-Farley & Yoshua Bengio(cid:63)
+Montreal Institute for Learning Algorithms, (cid:63) CIFAR Senior Fellow
+Universit´e de Montr´eal
+Montreal, Quebec, Canada"

+6472df86bed51909f7b8aa0631f910db5a627c84,Minimax and Adaptive Estimation of Covariance Operator for Random Variables Observed on a Lattice Graph,"Minimax and Adaptive Estimation of Covariance Operator for
+Random Variables Observed on a Lattice Graph
+T. Tony Cai∗ and Ming Yuan†
+University of Pennsylvania and Georgia Institute of Technology
+November 3, 2012"

+6403117f9c005ae81f1e8e6d1302f4a045e3d99d,"A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets.","A Systematic Evaluation and Benchmark for
+Person Re-Identification: Features, Metrics, and
+Datasets
+Srikrishna Karanam∗, Student Member, IEEE, Mengran Gou∗, Student Member, IEEE,
+Ziyan Wu, Member, IEEE, Angels Rates-Borras, Octavia Camps, Member, IEEE,
+nd Richard J. Radke, Senior Member, IEEE"

+641f9c87356c0829e690272b010848242058b8bc,Object Co-detection via Efficient Inference in a Fully-Connected CRF,"Object Co-detection via Ef‌f‌icient Inference
+in a Fully-Connected CRF(cid:2)
+Zeeshan Hayder, Mathieu Salzmann, and Xuming He
+Australian National University (ANU)
+NICTA, Canberra, Australia"

+6446089a2a383ad9e4315aea0199084dc61490f9,Computational analysis of human-robot interactions through first-person vision: Personality and interaction experience,"Proceedings of the 24th IEEE International
+Symposium on Robot and Human Interactive Communication
+Kobe, Japan, Aug 31 - Sept 4, 2015
+978-1-4673-6704-2/15/$31.00 ©2015 IEEE"

+645de797f936cb19c1b8dba3b862543645510544,Deep Temporal Linear Encoding Networks,"Deep Temporal Linear Encoding Networks
+Ali Diba1,(cid:63), Vivek Sharma1,(cid:63), and Luc Van Gool1,2
+ESAT-PSI, KU Leuven, 2CVL, ETH Z¨urich"

+64bd5878170bfab423bc3fc38d693202ef4ba6b6,Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision,"Monocular 3D Human Pose Estimation In The Wild
+Using Improved CNN Supervision
+Dushyant Mehta1, Helge Rhodin2, Dan Casas3, Pascal Fua2,
+Oleksandr Sotnychenko1, Weipeng Xu1, and Christian Theobalt1
+MPI for Informatics, Germany
+EPFL, Switzerland
+Universidad Rey Juan Carlos, Spain"

+90d735cffd84e8f2ae4d0c9493590f3a7d99daf1,Recognition of Faces using Efficient Multiscale Local Binary Pattern and Kernel Discriminant Analysis in Varying Environment,"Original Research Paper
+American Journal of Engineering and Applied Sciences
+Recognition of Faces using Efficient Multiscale Local Binary
+Pattern and Kernel Discriminant Analysis in Varying
+Environment
+Sujata G. Bhele and
+V.H. Mankar
+Department of Electronics Engg, Priyadarshini College of Engg, Nagpur, India
+Department of Electronics Engg, Government Polytechnic, Nagpur, India
+Article history
+Received: 20-06-2017
+Revised: 18-07-2017
+Accepted: 21-08-2017
+Corresponding Author:
+Sujata G. Bhele
+Department of Electronics
+Engg, Priyadarshini College of
+Engg, Nagpur, India
+Email:"

+904c53ea063d7d1e13b99d55257801d69d073775,Combined Object Detection and Segmentation,"International Journal of Machine Learning and Computing, Vol. 3, No. 1, February 2013
+Combined Object Detection and Segmentation
+Jarich Vansteenberge, Masayuki Mukunoki, and Michihiko Minoh"

+9070045c1a9564a5f25b42f3facc7edf4c302483,Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker,"Everybody needs somebody: Modeling social and grouping behavior on a linear
+programming multiple people tracker
+Laura Leal-Taix´e, Gerard Pons-Moll and Bodo Rosenhahn
+Institute for Information Processing (TNT)
+Leibniz University Hannover, Germany"

+90d8bf2199e7fd972dab3bd3dc6fb67536fa509b,Performance and Energy Modeling of Heterogeneous Many-core Architectures,"PERFORMANCE AND ENERGY MODELING OF HETEROGENEOUS MANY-CORE ARCHITECTURES
+Performance and Energy Modeling of
+Heterogeneous Many-core Architectures
+Rui Pedro Gaspar Pinheiro"

+904a8241ef400bd85b1ad10267a1177bbde1c048,Image-Text Dataset Generation for Image Annotation and Retrieval,"II Congreso Español de Recuperación de  la Información
+CERI 2012
+Image-Text Dataset Generation for Image
+Annotation and Retrieval⋆
+Mauricio Villegas and Roberto Paredes
+Institut Tecnol`ogic d’Inform`atica
+Universitat Polit`ecnica de Val`encia
+Cam´ı de Vera s/n, 46022 Val`encia (Spain)"

+902d1b14b076120cb21029b51ed8e63529fe686d,Performance Analysis for Facial Expression Recognition under Salt and Pepper Noise with Median Filter Approach,"PERFORMANCE ANALYSIS FOR FACIAL EXPRESSION
+RECOGNITION UNDER SALT AND PEPPER NOISE WITH
+MEDIAN FILTER APPROACH
+AZRINI BINTI IDRIS
+A project report submitted in partial
+fulfillment of the requirement for the award of the
+Degree of Master of Electrical Engineering
+Facultyof Electrical and Electronic Engineering
+UniversitiTun Hussein Onn Malaysia
+JULY 2013"

+90915cc93248174c4729be65159fb946d2ad5f72,"Relative Dense Tracklets for Human Action Recognition Piotr Bilinski Etienne Corvee Slawomir Bak Francois Bremond INRIA Sophia Antipolis , STARS team 2004 Route des Lucioles , BP 93 , 06902 Sophia Antipolis , France","Relative Dense Tracklets for Human Action Recognition
+Piotr Bilinski
+Etienne Corvee
+Slawomir Bak
+Francois Bremond
+INRIA Sophia Antipolis, STARS team
+004 Route des Lucioles, BP93, 06902 Sophia Antipolis, France"

+907fbe706ec14101978a63c6252e0d75e657e8dd,The Unreasonable Effectiveness of Texture Transfer for Single Image Super-resolution,"The Unreasonable Effectiveness of Texture Transfer
+for Single Image Super-resolution
+Muhammad Waleed Gondal
+Max Planck Institute for Intelligent Systems.
+Bernhard Schölkopf
+Max Planck Institute for Intelligent Systems.
+Michael Hirsch
+Amazon Research."

+9095f633a153c0e3a5503c0373c9c1dfeeefb0cc,Fast 3D face reconstruction based on uncalibrated photometric stereo,"Multimed Tools Appl
+DOI 10.1007/s11042-013-1791-3
+Fast 3D face reconstruction based on uncalibrated
+photometric stereo
+Yujuan Sun & Junyu Dong & Muwei Jian & Lin Qi
+# Springer Science+Business Media New York 2013"

+90eb9f6a1b7e3dae24e438b201e6b1f671a87eb5,Single-Camera Automatic Landmarking for People Recognition with an Ensemble of Regression Trees,"Single-Camera Automatic Landmarking for People Recognition
+with an Ensemble of Regression Trees
+Karla Trejo, Cecilio Angulo
+Universitat Polit`ecnica de Catalunya, Barcelona,
+Spain
+(AAM)
+Active Appearance Model"

+90dd771829094dad1230e32b8bc4385bfe86c4e5,A Comparison of Word Embeddings for the Biomedical Natural Language Processing,[cs.IR]  18 Jul 2018

+90e994a802a0038f24c8e3735d7619ebb40e6e93,Semantic Foggy Scene Understanding with Synthetic Data,"Noname manuscript No.
+(will be inserted by the editor)
+Semantic Foggy Scene Understanding with Synthetic Data
+Christos Sakaridis · Dengxin Dai · Luc Van Gool
+Received: date / Accepted: date"

+90ce227ec08053ea6acf9f9f9f53d8b7169574f2,An Introduction to Evaluating Biometric Systems,"C O V E R   F E A T U R E
+An Introduction to
+Evaluating
+Biometric
+Systems
+O n the basis of media hype alone, you might
+onclude that biometric passwords will soon
+replace  their  alphanumeric  counterparts
+with versions that cannot be stolen, forgot-
+ten, lost, or given to another person. But
+what if the performance estimates of these systems are
+far more impressive than their actual performance?
+P. Jonathon
+Phillips
+Alvin Martin
+C.L. Wilson
+Przybocki
+National
+Institute of
+Standards and"

+90e56a8515c8c2ff16f5c79c69811e283be852c7,Boosting face recognition via neural Super-Resolution,"Boosting face recognition via neural Super-Resolution
+Guillaume Berger, Cl´ement Peyrard and Moez Baccouche
+Orange Labs - 4 rue du Clos Courtel, 35510 Cesson-S´evign´e - France"

+90fb58eeb32f15f795030c112f5a9b1655ba3624,Face and Iris Recognition in a Video Sequence Using Dbpnn and Adaptive Hamming Distance,"INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND ROBOTICS
+www.ijrcar.com
+Vol.4 Issue 6, Pg.: 12-27
+June 2016
+INTERNATIONAL JOURNAL OF
+RESEARCH IN COMPUTER
+APPLICATIONS AND ROBOTICS
+ISSN 2320-7345
+FACE AND IRIS RECOGNITION IN A
+VIDEO SEQUENCE USING DBPNN AND
+ADAPTIVE HAMMING DISTANCE
+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:"

+9043df1de4f6e181875011c1379d1a7f68a28d6c,People Detection from Overhead Cameras,"People Detection from Overhead
+Cameras
+A study of impact of occlusion on
+performance
+Lu Liu
+in partial fulfillment of the requirements for the degree of
+Master of Science
+t the Delft University of Technology,
+to be defended publicly on Friday August 31, 2018 at 01:00 PM.
+Student number:
+Thesis committee: Dr. Hayley Hung (supervisor)
+621832
+EEMCS
+Laura Cabrera-Quiros (mentor) EEMCS
+EEMCS
+Prof. Marcel Reinders,
+Dr. Julian Kooij,"

+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"

+90a70b38c5a1b40ac16e18628a7772923cdc5cb5,Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation,"Exact Subspace Segmentation and Outlier Detection by
+Low-Rank Representation
+Anonymous Author 1
+Unknown Institution 1
+Anonymous Author 2
+Unknown Institution 2
+Anonymous Author 3
+Unknown Institution 3"

+900175d24928921600d09985211b6b9bfea44ce0,Person re-identification by pose priors,"Person re-identification by pose priors
+Sławomir Bąk
+Filipe Martins
+Francois Brémond
+INRIA Sophia Antipolis, STARS team, 2004, route des Lucioles, BP93
+06902 Sophia Antipolis Cedex - France"

+909f91c1957ce2bf9d76ee2109a865e87bf17057,GMCP-Tracker: Global Multi-object Tracking Using Generalized Minimum Clique Graphs,"GMCP-Tracker: Global Multi-object Tracking
+Using Generalized Minimum Clique Graphs
+Amir Roshan Zamir, Afshin Dehghan, and Mubarak Shah
+UCF Computer Vision Lab, Orlando, FL 32816, USA"

+903210406f14a12b481524d543b14f16114797e2,Pretest of images for the beauty dimension,"Análise Psicológica (2015), 4 (XXXIII): 453-466
+doi: 10.14417/ap.1052
+Pretest of images for the beauty dimension
+Joana Mello* / Filipe Loureiro*
+* ISPA – Instituto Universitário
+In this work, we present norms concerning the perceived association of two sets of image stimuli with
+the concept of “beauty”: 40 objects (Study 1) and 40 photos of human faces (Study 2)1. Participants
+were presented with a set of words associated with the construct of “beauty” and were subsequently
+sked to judge each image on how much they considered them to be related with this construct on a
+7-point scale (1 – Not at all related; 7 – Very related). The interpretation of means’ confidence intervals
+distinguish between 40 images, evaluated as “ugly” – with low scores on the beauty dimension – (20
+objects  and  20  faces),  and  28  images  evaluated  as  “beautiful”  –  with  high  scores  on  the  beauty
+dimension – (12 objects and 16 faces). Results are summarized and photos made available to support
+future research requiring beauty and/or ugly stimulus.
+Key words: Norms, Beauty, Ugly, People, Objects.
+Introduction
+The objective of this work consists on the presentation of beauty norms of a set of images from
+two categories (people and objects) for further use in different contexts and experimental settings.
+Our main purpose was to present norms of a set of updated to present-days photos of faces and
+objects regarding its level of activation of the “beauty” construct, i.e., of the perceived association"

+9015fd773526e21e352037663de3f586ccf4e907,Fused Deep Neural Networks for Efficient Pedestrian Detection,"Fused Deep Neural Networks for Efficient
+Pedestrian Detection
+Xianzhi Du, Mostafa El-Khamy, Vlad I. Morariu, Jungwon Lee, and Larry Davis"

+90f0646c0801f1dad43d2374d1145be8e005bdbf,Raised Middle-Finger: Electrocortical Correlates of Social Conditioning with Nonverbal Affective Gestures,"Raised Middle-Finger: Electrocortical Correlates of Social
+Conditioning with Nonverbal Affective Gestures
+Matthias J. Wieser1*, Tobias Flaisch2, Paul Pauli1
+Department of Psychology, University of Wu¨ rzburg, Wu¨ rzburg, Germany, 2 Department of Psychology, University of Konstanz, Konstanz, Germany"

+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
+Ashish Kapoor Yuan Qi Rosalind W. Picard
+MIT Media Laboratory
+Cambridge, MA 02139"

+907475a4febf3f1d4089a3e775ea018fbec895fe,Statistical modeling for facial expression analysis and synthesis,"STATISTICAL MODELING FOR FACIAL EXPRESSION ANALYSIS AND SYNTHESIS
+Bouchra Abboud, Franck Davoine, Mˆo Dang
+Heudiasyc Laboratory, CNRS, University of Technology of Compi`egne.
+BP 20529, 60205 COMPIEGNE Cedex, FRANCE.
+E-mail:"

+90d8dbaa799430d7384425061317e0fa55bf5cbb,Representation Models and Machine Learning Techniques for Scene Classificatio,"Representation Models and
+Machine Learning Techniques
+for Scene Classificatio
+Giovanni Maria Farinella and Sebastiano Battiato
+Image Processing Lab, Dipartimento di Matematica e Informatica,
+Universit`a degli Studi di Catania, Viale A. Doria 6, 95125 Catania, Italy;
+E-mail: {gfarinella,"

+9028fbbd1727215010a5e09bc5758492211dec19,Solving the Uncalibrated Photometric Stereo Problem Using Total Variation,"Solving the Uncalibrated Photometric Stereo
+Problem using Total Variation
+Yvain Qu´eau1, Fran¸cois Lauze2, and Jean-Denis Durou1
+IRIT, UMR CNRS 5505, Toulouse, France
+Dept. of Computer Science, Univ. of Copenhagen, Denmark"

+bff77a3b80f40cefe79550bf9e220fb82a74c084,Facial Expression Recognition Based on Local Binary Patterns and Local Fisher Discriminant Analysis,"Facial Expression Recognition Based on Local Binary Patterns and
+Local Fisher Discriminant Analysis
+SHIQING ZHANG 1, XIAOMING ZHAO 2, BICHENG LEI 1
+School of Physics and Electronic Engineering
+Taizhou University
+Taizhou 318000
+CHINA
+2Department of Computer Science
+Taizhou University
+Taizhou 318000
+CHINA"

+bf4ec5068e6ff0b008a09f0c94bfaac290ae7d3b,Co-attention CNNs for Unsupervised Object Co-segmentation,Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18)

+bf4fcd80083f3145176b64d15bab78456a7e5e43,Title Fast Randomized Algorithms for Convex Optimization and Statistical Estimation Permalink,"Fast Randomized Algorithms for Convex Optimization and
+Statistical Estimation
+Mert Pilanci
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2016-147
+http://www.eecs.berkeley.edu/Pubs/TechRpts/2016/EECS-2016-147.html
+August 14, 2016"

+bfd8bfce7c998a7bf209b7bf2e6c2e1f03c4334e,Discriminative Face Alignment,"Discriminative Face Alignment
+Xiaoming Liu, Member, IEEE"

+bf4f76c3da8a46783dfd2b72651e2300901ced25,Robust aggregation of GWAP tracks for local image annotation,"Robust aggregation of GWAP tracks
+for local image annotation
+C. Bernaschina, P. Fraternali, L. Galli, D. Martinenghi, M. Tagliasacchi
+Dipartimento di Elettronica, Informazione e Bioingegneria
+Politecnico di Milano, Italy"

+bf1e0279a13903e1d43f8562aaf41444afca4fdc,Different Viewpoints of Recognizing Fleeting Facial Expressions with DWT,"International Research Journal of Engineering and Technology (IRJET)       e-ISSN: 2395-0056
+Volume: 04 Issue: 10 | Oct -2017                     www.irjet.net                                                                 p-ISSN: 2395-0072
+Different Viewpoints of Recognizing Fleeting Facial Expressions with
+VAIBHAV SHUBHAM1, MR. SANJEEV SHRIVASTAVA2, DR. MOHIT GANGWAR3
+information
+to  get  desired
+information
+Introduction
+---------------------------------------------------------------------***---------------------------------------------------------------------"

+bf96a0f037e7472e4b6cb1dae192a5fedbbbd88a,Visual Listening In: Extracting Brand Image Portrayed on Social Media,"Visual Listening In: Extracting Brand Image
+Portrayed on Social Media
+Liu Liu
+NYU Stern School of Business,
+Daria Dzyabura
+NYU Stern School of Business,
+University of Washington - Foster School of Business,
+Natalie Mizik
+Marketing academics and practitioners recognize the importance of monitoring consumer online conversations
+bout brands. The focus so far has been on user generated content in the form of text. However, images are
+on their way to surpassing text as the medium of choice for social conversations. In these images, consumers
+often tag brands. We propose a “visual listening in” approach to measuring how brands are portrayed on
+social media (Instagram), by mining visual content posted by users. Our approach consists of two stages. We
+first use two supervised machine learning methods, traditional support vector machine classifiers and deep
+onvolutional neural networks, to measure brand attributes (glamorous, rugged, healthy, fun) from images.
+We then apply the classifiers to brand-related images posted on social media to measure what consumers
+re visually communicating about brands. We study 56 brands in the apparel and beverages categories, and
+ompare their portrayal in consumer-created images with images on the firm’s of‌f‌icial Instagram account, as
+well as with consumer brand perceptions measured in a national brand survey. Although the three measures
+exhibit convergent validity, we find key differences between how consumers and firms portray the brands on"

+bfef76d0e287fc6401d69a9f65ff174e4fbf0970,Nonnegative Matrix Factorization with Outliers,"978-1-4799-9988-0/16/$31.00 ©2016 IEEE
+ICASSP 2016"

+bfebba8356c5d20dc6a9b2f72ff66adaf63321b7,End-to-end pedestrian collision warning system based on a convolutional neural network with semantic segmentation,"End-to-End Pedestrian Collision Warning System
+ased on a Convolutional Neural Network
+with Semantic Segmentation
+Heechul Jung
+DGIST
+Daegu, Republic of Korea
+Min-Kook Choi
+DGIST
+Daegu, Republic of Korea
+Kwon Soon
+DGIST
+Daegu, Republic of Korea
+Woo Young Jung
+DGIST
+Daegu, Republic of Korea"

+bf05e710dae791f82cc639a09dbe5ec66fed2008,Generating Video Description using Sequence-to-sequence Model with Temporal Attention,"Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers,
+pages 44–52, Osaka, Japan, December 11-17 2016."

+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"

+bfdcd4d5cc10c8c64743fc7be7e7ad6709d93b53,Evaluation of PCA and LDA techniques for Face recognition using ORL face database,"Evaluation of PCA and LDA techniques for Face
+recognition using ORL face database
+CSE Dept. Faculty of Engineering, Avinashilingam University, Coimbatore, India
+M.Saraswathi, Dr. S. Sivakumari"

+bf735bb7557e73bc6f68853cba828b55bd163726,Fusion of Zernike Moments and SIFT Features for Improved Face Recognition,"International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT2012)
+Proceedings published in International Journal of Computer Applications® (IJCA)
+Fusion of Zernike Moments and SIFT Features for
+Improved Face Recognition
+Chandan Singh
+Professor
+Department of Computer
+Science, Punjabi University
+Patiala, India
+Ekta Walia
+Asst. Prof., Department of
+Computer Science, South
+Asian University, New Delhi,
+Neerja Mittal
+Asst. Prof., Department of
+CSE&IT, RBIEBT, Kharar,
+Distt. Mohali, India
+India"

+bfffcd2818a1679ac7494af63f864652d87ef8fa,Neural Importance Sampling,"Neural Importance Sampling
+THOMAS MÜLLER, Disney Research & ETH Zürich
+BRIAN MCWILLIAMS, Disney Research
+FABRICE ROUSSELLE, Disney Research
+MARKUS GROSS, Disney Research & ETH Zürich
+JAN NOVÁK, Disney Research
+We propose to use deep neural networks for generating samples in Monte
+Carlo integration. Our work is based on non-linear independent compo-
+nents estimation (NICE), which we extend in numerous ways to improve
+performance and enable its application to integration problems. First, we
+introduce piecewise-polynomial coupling transforms that greatly increase
+the modeling power of individual coupling layers. Second, we propose to
+preprocess the inputs of neural networks using one-blob encoding, which
+stimulates localization of computation and improves inference. Third, we de-
+rive a gradient-descent-based optimization for the KL and the χ 2 divergence
+for the specific application of Monte Carlo integration with unnormalized
+stochastic estimates of the target distribution. Our approach enables fast and
+ccurate inference and efficient sample generation independently of the di-
+mensionality of the integration domain. We show its benefits on generating
+natural images and in two applications to light-transport simulation: first,"

+bf15ba4db09fd805763738ec2cb48c09481785dd,Training Deep Neural Network in Limited Precision,"Training Deep Neural Network in Limited Precision
+Hyunsun Park∗, Jun Haeng Lee∗, Youngmin Oh, Sangwon Ha, Seungwon Lee
+Samsung Advanced Institute of Technology
+Samsung-ro 130, Suwon-si, Republic of Korea
+{h-s.park,"

+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"

+bff354d05823c83215183c8824faefbc093de011,A new efficient SVM and its application to real-time accurate eye localization,"Proceedings of International Joint Conference on Neural Networks, San Jose, California, USA, July 31 – August 5, 2011
+A New Efficient SVM and Its Application to
+Real-time Accurate Eye Localization
+Shuo Chen and Chengjun Liu"

+bfa763e7cec812f855c712895fa48eae89a34a00,Face Retrieval using Frequency Decoded Local Descriptor,"PREPRINT: ACCEPTED IN MULTIMEDIA TOOLS AND APPLICATIONS, SPRINGER
+Face Retrieval using Frequency Decoded Local
+Descriptor
+Shiv Ram Dubey"

+bfb98423941e51e3cd067cb085ebfa3087f3bfbe,Sparseness helps: Sparsity Augmented Collaborative Representation for Classification,"Sparseness helps: Sparsity Augmented
+Collaborative Representation for Classification
+Naveed Akhtar, Faisal Shafait, and Ajmal Mian"

+bf4e6ec60e5603324f6a40d2a060420322dbdd62,Kinects and Human Kinetics: A New Approach for Studying Crowd Behavior,"Kinects and Human Kinetics: A New Approach for
+Studying Crowd Behavior
+Stefan Seera,b,∗, Norbert Br¨andlea, Carlo Rattib
+Austrian Institute of Technology (AIT), Giefinggasse 2, 1210 Vienna, Austria
+MIT Senseable City Lab, Massachusetts Institute of Technology (MIT), 77
+Massachusetts Avenue, 02139 Cambridge, MA, USA"

+bff9d100e99dd6a99ec26ca867694075b1dcac92,Passive Multimodal 2-D+3-D Face Recognition Using Gabor Features and Landmark Distances,"Passive Multimodal 2-D+3-D Face Recognition
+Using Gabor Features and Landmark Distances
+Sina Jahanbin, Member, IEEE, Hyohoon Choi, Member, IEEE, and Alan C. Bovik, Fellow, IEEE"

+bf8bcda2e4d04b6bd6f5e70622e972baf525a1c7,Three decades of Cognition & Emotion: A brief review of past highlights and future prospects.,"COGNITION AND EMOTION, 2018
+VOL. 32, NO. 1, 1–12
+https://doi.org/10.1080/02699931.2018.1418197
+nd future prospects
+Klaus Rothermunda and Sander L. Kooleb
+Institute of Psychology, Friedrich-Schiller-Universität Jena, Jena, Germany; bDepartment of Psychology, VU Amsterdam,
+Amsterdam, the Netherlands"

+d3e9c5a63215a9c46bc61ec04df5285ac355e42c,Integration of visual and depth information for vehicle detection,pport (cid:13)(cid:13)de recherche(cid:13)ISSN0249-6399ISRNINRIA/RR--7703--FR+ENGRoboticsINSTITUTNATIONALDERECHERCHEENINFORMATIQUEETENAUTOMATIQUEIntegrationofvisualanddepthinformationforvehicledetectionAlexandrosMakris—MathiasPerrollaz—IgorParomtchik—ChristianLaugierN°7703July2011

+d3c1612ae08241dadf6abd650663f4f9351abaf9,Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network,"Early Start Intention Detection of Cyclists Using Motion History
+Images and a Deep Residual Network
+Stefan Zernetsch, Viktor Kress, Bernhard Sick and Konrad Doll"

+d33c9fe66bad7a90e34e8bc1332b73147a30d202,Trace alignment algorithms for offline workload analysis of heterogeneous architectures,"Trace Alignment Algorithms for Offline Workload Analysis
+of Heterogeneous Architectures
+Muhammet Mustafa Ozdal
+Intel Corporation
+Hillsboro, OR 97124
+Aamer Jaleel
+Intel Corporation
+Hudson, MA
+Paolo Narvaez
+Intel Corporation
+Hudson, MA
+Steven Burns
+Intel Corporation
+Hillsboro, OR
+Ganapati Srinivasa
+Intel Corporation
+Hillsboro, OR"

+d3b73e06d19da6b457924269bb208878160059da,Implementation of an Automated Smart Home Control for Detecting Human Emotions via Facial Detection,"Proceedings of the 5th International Conference on Computing and Informatics, ICOCI 2015
+1-13 August, 2015 Istanbul, Turkey. Universiti Utara Malaysia (http://www.uum.edu.my )
+Paper No.
+IMPLEMENTATION OF AN AUTOMATED SMART HOME
+CONTROL FOR DETECTING HUMAN EMOTIONS VIA FACIAL
+DETECTION
+Lim Teck Boon1, Mohd Heikal Husin2, Zarul Fitri Zaaba3 and Mohd Azam
+Osman4
+Universiti Sains Malaysia, Malaysia,
+Universiti Sains Malaysia, Malaysia,
+Universiti Sains Malaysia, Malaysia,
+Universiti Sains Malaysia, Malaysia,"

+d3612bcc772761b611365fe21c42eafb181338ef,Face and Street Detection with Asymmetric Haar Features,"Face and Street Detection with Asymmetric Haar Features
+Geovany A. Ramirez
+University of Texas at El Paso
+500 W University Ave - El Paso TX 79968
+500 W University Ave - El Paso TX 79968
+Olac Fuentes
+University of Texas at El Paso"

+d3d71a110f26872c69cf25df70043f7615edcf92,Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition,"Learning Compact Feature Descriptor and Adaptive
+Matching Framework for Face Recognition
+Zhifeng Li, Senior Member, IEEE, Dihong Gong, Xuelong Li, Fellow, IEEE, and Dacheng Tao, Fellow, IEEE
+improvements"

+d33beb4f1477374fbcffd8e9df74ca2547eb77ee,Feature Selection for Tracker-Less Human Activity Recognition,"Feature Selection for tracker-less human activity
+recognition(cid:63)
+Plinio Moreno, Pedro Ribeiro, and Jos´e Santos-Victor
+Instituto de Sistemas e Rob´otica & Instituto Superior T´ecnico
+Portugal"

+d3b18ba0d9b247bfa2fb95543d172ef888dfff95,Learning and Using the Arrow of Time,"Learning and Using the Arrow of Time
+Donglai Wei1, Joseph Lim2, Andrew Zisserman3 and William T. Freeman4,5
+Harvard University 2University of Southern California
+University of Oxford 4Massachusetts Institute of Technology 5Google Research
+Figure 1: Seeing these ordered frames from videos, can you tell whether each video is playing forward or backward? (answer
+elow1). Depending on the video, solving the task may require (a) low-level understanding (e.g. physics), (b) high-level
+reasoning (e.g. semantics), or (c) familiarity with very subtle effects or with (d) camera conventions. In this work, we learn
+nd exploit several types of knowledge to predict the arrow of time automatically with neural network models trained on
+large-scale video datasets."

+d3e51c0cfd6ae3d3082c2aa27fa1c73fa9662fdf,Isometry-invariant Surface Matching : Numerical Algorithms and Applications,"ISOMETRY-INVARIANT SURFACE
+MATCHING: NUMERICAL ALGORITHMS
+AND APPLICATIONS
+MICHAEL M. BRONSTEIN
+Technion - Computer Science Department - Ph.D. Thesis  PHD-2007-04 - 2007"

+d3761354b7df1228eabf46032fd01a4109229d43,Selection of optimal narrowband multispectral images for face recognition. (Sélection des bandes spectrales optimales pour la reconnaissance des visages),"UNIVERSITY OF BURGUANDY
+SPIM doctoral school
+PhD from the University of Burgundy in
+Computer Science
+Presented by:
+Hamdi Bouchech
+Defense Date: January 26, 2015
+Selection of optimal narrowband multispectral images for face
+recognition
+Thesis supervisor:
+Dr. Sebti Foufou
+Jury:
+Frederic Morain-Nicolier, Professeur a I’IUT de Troyes, Rapporteur.
+Pierre BONTON, Professeur à  l’ Université Blaise Pascal, retraité ,  Rapporteur.
+Saida Bouakaz, Professeur à  l’ Université Claude Bernard Lyon 1, Examinatrice.
+Pierre Gouton, Professeur à  l’ Université de Bourgogne, Examinateur.
+Yassine Ruichek, Professeur à  l’ Université de Technologie de Belfort-Montbéliard,
+Examinateur.
+Sebti Foufou, Professeur à  l’ Université de Bourgogne, directeur de thèse."

+d348197e47a8e081bd3f12a22bc52b055ecd8302,Unified Framework for Automated Person Re-identification and Camera Network Topology Inference in Camera Networks,"Unified Framework for Automated Person Re-identification and
+Camera Network Topology Inference in Camera Networks
+Yeong-Jun Cho, Jae-Han Park*, Su-A Kim*, Kyuewang Lee and Kuk-Jin Yoon
+Computer Vision Laboratory, GIST, South Korea
+{yjcho, qkrwogks, suakim, kyuewang,"

+d3797366259182070c598e95cef8fff1ddb21f65,Distance-based Camera Network Topology Inference for Person Re-identification,"Distance-based Camera Network Topology Inference for Person Re-identification
+Yeong-Jun Cho and Kuk-Jin Yoon
+Computer Vision Laboratory, GIST, South Korea
+{yjcho,"

+d309e414f0d6e56e7ba45736d28ee58ae2bad478,Efficient Two-Stream Motion and Appearance 3 D CNNs for Video Classification,"Efficient Two-Stream Motion and Appearance 3D CNNs for
+Video Classification
+Ali Diba
+ESAT-KU Leuven
+Ali Pazandeh
+Sharif UTech
+Luc Van Gool
+ESAT-KU Leuven, ETH Zurich"

+d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9,STAIR Actions: A Video Dataset of Everyday Home Actions,

+d3d887aebeeae44cefd5c2bdbb388d9ce109e335,Image Manipulation with Perceptual Discriminators,"Image Manipulation with
+Perceptual Discriminators
+Diana Sungatullina(cid:63), Egor Zakharov(cid:63), Dmitry Ulyanov, and Victor Lempitsky
+Skolkovo Institute of Science and Technology, Moscow, Russia
+{d.sungatullina, egor.zakharov, dmitry.ulyanov,"

+d3c004125c71942846a9b32ae565c5216c068d1e,Recognizing Age-Separated Face Images: Humans and Machines,"RESEARCH ARTICLE
+Recognizing Age-Separated Face Images:
+Humans and Machines
+Daksha Yadav1, Richa Singh2, Mayank Vatsa2*, Afzel Noore1
+. West Virginia University, Morgantown, West Virginia, United States of America, 2. IIIT Delhi, New Delhi,
+Delhi, India"

+d350a9390f0818703f886138da27bf8967fe8f51,Lighting design for portraits with a virtual light stage,"LIGHTING DESIGN FOR PORTRAITS WITH A VIRTUAL LIGHT STAGE
+Davoud Shahlaei, Marcel Piotraschke, Volker Blanz
+Institute for Vision and Graphics, University of Siegen, Germany"

+d33fcdaf2c0bd0100ec94b2c437dccdacec66476,Neurons With Paraboloid Decision Boundaries for Improved Neural Network Classification Performance.,"Neurons with Paraboloid Decision Boundaries for
+Improved Neural Network Classification
+Performance
+Nikolaos Tsapanos, Anastasios Tefas, Member, IEEE, Nikolaos Nikolaidis, Member, IEEE, and
+Ioannis Pitas, Fellow, IEEE"

+d46b790d22cb59df87f9486da28386b0f99339d3,Learning Face Deblurring Fast and Wide,"Learning Face Deblurring Fast and Wide
+Meiguang Jin
+University of Bern
+Switzerland
+Michael Hirsch†
+Amazon Research
+Germany
+Paolo Favaro
+University of Bern
+Switzerland"

+d40bd8d44fe78952769a9bb04fe74ce38ef07534,Locally Adaptive Learning Loss for Semantic Image Segmentation,"Locally Adaptive Learning Loss for Semantic Image Segmentation
+Jinjiang Guo1,2, Pengyuan Ren1, Aiguo Gu1, Jian Xu1, Weixin Wu1
+Beijing NetPosa Technologies Co., Ltd. Beijing, China
+Institut National des Sciences Appliqu´ees de Lyon, Lyon, France
+{renpengyuan, guaiguo, xujian,"

+d41c11ebcb06c82b7055e2964914b9af417abfb2,CDI-Type I: Unsupervised and Weakly-Supervised Discovery of Facial Events,"CDI-Type I: Unsupervised and Weakly-Supervised
+Introduction
+Discovery of Facial Events
+The face is one of the most powerful channels of nonverbal communication. Facial expression has been a
+focus of emotion research for over a hundred years [12]. It is central to several leading theories of emotion
+[18, 31, 54] and has been the focus of at times heated debate about issues in emotion science [19, 24, 50].
+Facial expression figures prominently in research on almost every aspect of emotion, including psychophys-
+iology [40], neural correlates [20], development [11], perception [4], addiction [26], social processes [30],
+depression [49] and other emotion disorders [55], to name a few. In general, facial expression provides cues
+bout emotional response, regulates interpersonal behavior, and communicates aspects of psychopathology.
+Because of its importance to behavioral science and the emerging fields of computational behavior
+science, perceptual computing, and human-robot interaction, significant efforts have been applied toward
+developing algorithms that automatically detect facial expression. With few exceptions, previous work on
+facial expression relies on supervised approaches to learning (i.e. event categories are defined in advance
+in labeled training data). While supervised learning has important advantages, two critical limitations may
+e noted. One, because labeling facial expression is highly labor intensive, progress in automated facial
+expression recognition and analysis is slowed. For the most detailed and comprehensive labeling or coding
+systems, such as Facial Action Coding System (FACS), three to four months is typically required to train
+coder (’coding’ refers to the labeling of video using behavioral descriptors). Once trained, each minute
+of video may require 1 hour or more to code [9]. No wonder relatively few databases are yet available,"

+d497b9e50dc2aacfb1693ca4de6ebf904404d98d,Patch Based Approaches for Visual Object Class Recognition - a Survey,"ALBERT-LUDWIGS-UNIVERSIT ¨AT FREIBURG
+INSTITUT F ¨UR INFORMATIK
+Lehrstuhl f¨ur Mustererkennung und Bildverarbeitung
+Patch Based Approaches for the Recognition of Visual Object
+Classes - A Survey
+Internal Report 2/06
+Alexandra Teynor
+November, 2006"

+d488dad9fa81817c85a284b09ebf198bf6b640f9,FCHD: A fast and accurate head detector,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+FCHD: A fast and accurate head detector
+Aditya Vora, Johnson Controls Inc."

+d444368421f456baf8c3cb089244e017f8d32c41,CNN for IMU assisted odometry estimation using velodyne LiDAR,"CNN for IMU Assisted Odometry Estimation using Velodyne LiDAR
+Martin Velas, Michal Spanel, Michal Hradis, and Adam Herout"

+d48bd355d091e7ae75ade4e878fe346741e7da1a,Can You Spot the Semantic Predicate in this Video ?,"Can You Spot the Semantic Predicate in this Video?
+Christopher Reale, Claire Bonial, Heesung Kwon and Clare R. Voss
+U.S. Army Research Lab, Adelphi, Maryland 20783
+{claire.n.bonial.civ, heesung.kwon.civ,"

+d4ced2086ccd9259ade8fabdba14e0e4d9fc0c40,A Mobile Imaging System for Medical Diagnostics,"A Mobile Imaging System for Medical
+Diagnostics
+Sami Varjo and Jari Hannuksela
+The Center for Machine Vision Research
+Department of Computer Science and Engineering
+P.O. Box 4500, FI-90014 University of Oulu"

+d40c4e370d35264e324e4e3d5df59e51518c9979,A Transfer Learning based Feature-Weak-Relevant Method for Image Clustering,"A Transfer Learning based Feature-Weak-Relevant Method for
+Image Clustering
+Bo Dong, Xinnian Wang
+Dalian Maritime University
+Dalian, China"

+d4885ca24189b4414031ca048a8b7eb2c9ac646c,"Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN","Ef‌f‌icient Facial Representations for Age, Gender
+nd Identity Recognition in Organizing Photo
+Albums using Multi-output CNN
+Andrey V. Savchenko
+Samsung-PDMI Joint AI Center, St. Petersburg Department of Steklov Institute of
+Mathematics
+National Research University Higher School of Economics
+Nizhny Novgorod, Russia"

+d45dc3546702db7fcef8d4863db319ca84cc8d3d,How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs,"How emotional are you? Neural Architectures for Emotion Intensity
+Prediction in Microblogs
+Devang Kulshreshtha∗, Pranav Goel∗, and Anil Kumar Singh
+Indian Institute of Technology (Banaras Hindu University) Varanasi
+{devang.kulshreshtha.cse14, pranav.goel.cse14,
+Varanasi, Uttar Pradesh, India"

+d4001826cc6171c821281e2771af3a36dd01ffc0,Modélisation de contextes pour l'annotation sémantique de vidéos. (Context based modeling for video semantic annotation),"Modélisation de contextes pour l’annotation sémantique
+de vidéos
+Nicolas Ballas
+To cite this version:
+Nicolas Ballas. Modélisation de contextes pour l’annotation sémantique de vidéos. Autre [cs.OH].
+Ecole Nationale Supérieure des Mines de Paris, 2013. Français. <NNT : 2013ENMP0051>. <pastel-
+00958135>
+HAL Id: pastel-00958135
+https://pastel.archives-ouvertes.fr/pastel-00958135
+Submitted on 11 Mar 2014
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+d458c49a5e34263c95b3393386b5d76ba770e497,A Comparative Analysis of Gender Classification Techniques,"Middle-East Journal of Scientific Research 20 (1): 01-13, 2014
+ISSN 1990-9233
+© IDOSI Publications, 2014
+DOI: 10.5829/idosi.mejsr.2014.20.01.11434
+A Comparative Analysis of Gender Classification Techniques
+Sajid Ali Khan, Maqsood Ahmad, Muhammad Nazir and Naveed Riaz
+Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan"

+d4e4369babdba158bfdce1b605f92d6b1b665be4,The amygdala and the relevance detection theory of autism: an evolutionary perspective,"REVIEW ARTICLE
+published: 30 December 2013
+doi: 10.3389/fnhum.2013.00894
+The amygdala and the relevance detection theory of autism:
+n evolutionary perspective
+Tiziana Zalla1* and Marco Sperduti 2,3
+Institut Jean Nicod, Centre National de la Recherche Scientifique, Ecole Normale Supérieure, Paris, France
+Laboratoire Mémoire et Cognition, Institut de Psychologie, Université Paris Descartes, Boulogne-Billancourt, France
+Inserm U894, Centre de Psychiatrie et Neurosciences, Université Paris Descartes, Paris, France
+Edited by:
+Corrado Corradi-Dell’Acqua, University
+of Geneva, Switzerland
+Reviewed by:
+Sebastian B. Gaigg, City University
+London, UK
+Bhismadev Chakrabarti, University of
+Reading, UK
+Danilo Bzdok, Research Center Jülich,
+Germany
+*Correspondence:"

+d4f8168242f688af29bcbbe1cc5aec7cd12a601c,Edinburgh Research Explorer Visually Grounded Meaning Representations,"Visually Grounded Meaning Representations
+Citation for published version:
+Silberer, C, Ferrari, V & Lapata, M 2016, 'Visually Grounded Meaning Representations' IEEE Transactions
+on Pattern Analysis and Machine Intelligence. DOI: 10.1109/TPAMI.2016.2635138
+Digital Object Identifier (DOI):
+0.1109/TPAMI.2016.2635138
+Link:
+Link to publication record in Edinburgh Research Explorer
+Document Version:
+Peer reviewed version
+Published In:
+IEEE Transactions on Pattern Analysis and Machine Intelligence
+General rights
+Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s)
+nd / or other copyright owners and it is a condition of accessing these publications that users recognise and
+bide by the legal requirements associated with these rights.
+Take down policy
+The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer
+ontent complies with UK legislation. If you believe that the public display of this file breaches copyright please
+ontact providing details, and we will remove access to the work immediately and"

+d4e669d5d35fa0ca9f8d9a193c82d4153f5ffc4e,A Lightened CNN for Deep Face Representation,"A Lightened CNN for Deep Face Representation
+Xiang Wu
+School of Computer and Communication Engineering
+University of Science and Technology Beijing, Beijing, China
+Ran He, Zhenan Sun
+National Laboratory of Pattern Recognition
+Institute of Automation Chinese Academy of Sciences, Beijing, China
+{rhe,"

+d409d8978034de5e5e8f9ee341d4a00441e3d05f,Annual research review: re-thinking the classification of autism spectrum disorders.,"Journal of Child Psychology and Psychiatry 53:5 (2012), pp 490–509
+doi:10.1111/j.1469-7610.2012.02547.x
+Annual Research Review: Re-thinking the
+lassification of autism spectrum disorders
+Center for Autism and the Developing Brain, Weill-Cornell Medical College and New York Presbyterian Hospital/
+Westchester Division, White Plains, NY, USA
+Catherine Lord and Rebecca M. Jones
+Background: The nosology of autism spectrum disorders (ASD) is at a critical point in history as the
+field seeks to better define dimensions of social-communication deficits and restricted/repetitive
+ehaviors on an individual
+level for both clinical and neurobiological purposes. These different
+dimensions also suggest an increasing need for quantitative measures that accurately map their dif-
+ferences, independent of developmental factors such as age, language level and IQ. Method: Psycho-
+metric measures, clinical observation as well as genetic, neurobiological and physiological research
+from toddlers, children and adults with ASD are reviewed. Results: The question of how to conceptu-
+lize ASDs along dimensions versus categories is discussed within the nosology of autism and the
+proposed changes to the DSM-5 and ICD-11. Differences across development are incorporated into the
+new classification frameworks. Conclusions: It is crucial to balance the needs of clinical practice in
+ASD diagnostic systems, with neurobiologically based theories that address the associations between
+social-communication and restricted/repetitive dimensions in individuals. Clarifying terminology,"

+d45fbd818f032566e9e8f8bdc0f658cdd6873e8f,Full-body High-resolution Anime Generation with Progressive Structure-conditional Generative Adversarial Networks,"Full-body High-resolution Anime Generation
+with Progressive Structure-conditional
+Generative Adversarial Networks
+Koichi Hamada, Kentaro Tachibana, Tianqi Li,
+Hiroto Honda, and Yusuke Uchida
+DeNA Co., Ltd., Tokyo, Japan"

+d4b88be6ce77164f5eea1ed2b16b985c0670463a,A Survey of Different 3D Face Reconstruction Methods,"TECHNICAL REPORT JAN.15.2016
+A Survey of Different 3D Face Reconstruction
+Methods
+Amin Jourabloo
+Department of Computer Science and Engineering"

+d42142285c46207a16bd4294e437d504e419a9b7,Varying image description tasks : spoken versus written descriptions,"Varying image description tasks: spoken versus written descriptions
+Emiel van Miltenburg
+Vrije Universiteit Amsterdam
+Ruud Koolen
+Tilburg University
+Emiel Krahmer
+Tilburg University"

+d4dd4600e8f4ecfd11fa4a4a702b1f08bc9ec6f7,Combining intention and emotional state inference in a dynamic neural field architecture for human-robot joint action,"Special issue on Grounding Emotions in Robots
+Combining intention and emotional
+state inference in a dynamic neural
+field architecture for human-robot
+joint action
+Adaptive Behavior
+016, Vol. 24(5) 350–372
+Ó The Author(s) 2016
+Reprints and permissions:
+sagepub.co.uk/journalsPermissions.nav
+DOI: 10.1177/1059712316665451
+db.sagepub.com
+Rui Silva1, Luı´s Louro1, Tiago Malheiro1, Wolfram Erlhagen2 and
+Estela Bicho1"

+d4712c75a1a51ecbc74e362747926a16a2cd36ed,Automated Human Recognition by Gait using Neural Network,"Image Processing Theory, Tools & Applications
+Automated Human Recognition by Gait using Neural Network
+Jang-Hee Yoo
+Information Security
+Research Division, ETRI
+S. Korea
+Ki-Young Moon
+Information Security
+Research Division, ETRI
+S. Korea"

+d4c657ce3b7e47237201393aa6bba0e19442bfd2,Interpolation Based Tracking for Fast Object Detection in Videos,"Interpolation Based Tracking for Fast Object
+Detection In Videos
+Rahul Jain, Pramod Sankar K.*, C. V. Jawahar
+Center for Visual Information Technology
+pramod
+IIIT-Hyderabad, INDIA"

+d44ca9e7690b88e813021e67b855d871cdb5022f,"Selecting, Optimizing and Fusing 'Salient' Gabor Features for Facial Expression Recognition","QUT Digital Repository:
+http://eprints.qut.edu.au/
+Zhang, Ligang and Tjondronegoro, Dian W. (2009) Selecting, optimizing and
+fusing ‘salient’ Gabor features for facial expression recognition. In: Neural
+Information Processing (Lecture Notes in Computer Science), 1-5 December
+009, Hotel Windsor Suites Bangkok, Bangkok.
+©  Copyright 2009 Springer-Verlag GmbH Berlin Heidelberg"

+d4901683e2c2552fc2d62d4eb3b1f5d5fa60a5ff,ScaleNet: Scale Invariant Network for Semantic Segmentation in Urban Driving Scenes,

+ba0d84d97eeec7774534b91da78b10c5d924fdc8,Classification with Repulsion Tensors: A Case Study on Face Recognition,"Classification with Repulsion Tensors: A Case Study on Face
+Recognition
+Hawren Fang∗
+March 16, 2016"

+bad7254ae08f8bf1305e70c7de28374f67f151fd,Ré-identification de personnes à partir des séquences vidéo. (Person re-identification from video sequence),"Ré-identification de personnes à partir des séquences
+vidéo
+Mohamed Ibn Khedher
+To cite this version:
+Mohamed Ibn Khedher. Ré-identification de personnes à partir des séquences vidéo. Réseaux et
+télécommunications [cs.NI]. Institut National des Télécommunications, 2014. Français. <NNT :
+014TELE0018>. <tel-01149691>
+HAL Id: tel-01149691
+https://tel.archives-ouvertes.fr/tel-01149691
+Submitted on 7 May 2015
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+bafb8812817db7445fe0e1362410a372578ec1fc,Image-Quality-Based Adaptive Face Recognition,"Image-Quality-Based Adaptive Face Recognition
+Harin Sellahewa and Sabah A. Jassim"

+bac5906adc227e390f2f70705e990a3e1ec369df,Active Control of Camera Parameters for Object Detection Algorithms,"Active Control of Camera Parameters for Object
+Detection Algorithms
+Yulong Wu, John Tsotsos
+Department of Electrical Engineering and Computer Science
+York Univeristy
+Toronto, ON M3J 1P3
+Email: {yulong,"

+ba8e0bda11af08b6037666b67cf54ae1f780822d,Spatial Pyramid Matching,"Author manuscript, published in ""Object Categorization: Computer and Human Vision Perspectives Cambridge University Press (Ed.)
+(2009) 401--415"""

+ba99c37a9220e08e1186f21cab11956d3f4fccc2,A Fast Factorization-Based Approach to Robust PCA,"A Fast Factorization-based Approach to Robust PCA
+Department of Computer Science, Southern Illinois University,Carbondale, IL 62901 USA
+Chong Peng, Zhao Kang, and Qiang Cheng
+Email:"

+ba816806adad2030e1939450226c8647105e101c,MindLAB at the THUMOS Challenge,"MindLAB at the THUMOS Challenge
+Fabi´an P´aez
+Jorge A. Vanegas
+Fabio A. Gonz´alez
+MindLAB Research Group
+MindLAB Research Group
+MindLAB Research Group
+Bogot´a, Colombia
+Bogot´a, Colombia
+Bogot´a, Colombia"

+ba051292ca6e8c689542831479e436be7035c147,Superpixel Sampling Networks,"Superpixel Sampling Networks
+Varun Jampani1, Deqing Sun1, Ming-Yu Liu1,
+Ming-Hsuan Yang1,2, Jan Kautz1
+NVIDIA
+UC Merced"

+baf0af0ac2f2fbbf0c04141e12886ff850d77413,Feature-based 3d Slam,"KERNEL{BASED CLASSIFIERS WITH
+APPLICATIONS TO FACE DETECTION
+TH(cid:18)ESE No 3141 (2004)
+PR(cid:19)ESENT(cid:19)EE (cid:18)A LA FACULT(cid:19)E SCIENCES ET TECHNIQUES DE L’ING(cid:19)ENIEUR
+INSTITUT DE TRAITEMENT DES SIGNAUX
+SECTION DE G(cid:19)ENIE (cid:19)ELECTRIQUE ET (cid:19)ELECTRONIQUE
+(cid:19)ECOLE POLYTECHNIQUE F(cid:19)ED(cid:19)ERALE DE LAUSANNE
+POUR L’OBTENTION DU GRADE DE DOCTEUR (cid:18)ES SCIENCES
+Vlad POPOVICI
+DEA de sciences des syst(cid:18)emes et des calculateurs, Universit(cid:19)e Technique de Cluj-Napoca, Roumanie
+et de nationalit(cid:19)e roumaine
+ccept(cid:19)ee sur proposition du jury:
+Prof. J.-P. Thiran, directeur de th(cid:18)ese
+Dr. S. Bengio, rapporteur
+Prof. J. Kittler, rapporteur
+Prof. M. Kunt, rapporteur
+Lausanne, EPFL
+D(cid:19)ecembre 2004"

+badcd992266c6813063c153c41b87babc0ba36a3,Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks,"Recent Advances in Object Detection in the Age
+of Deep Convolutional Neural Networks
+Shivang Agarwal(∗
+,1), Jean Ogier du Terrail(∗
+,1,2), Fr´ed´eric Jurie(1)
+(∗) equal contribution
+(1)Normandie Univ, UNICAEN, ENSICAEN, CNRS
+(2)Safran Electronics and Defense
+September 11, 2018"

+ba8a99d35aee2c4e5e8a40abfdd37813bfdd0906,Uporaba emotivno pogojenega računalništva v priporočilnih sistemih,"ELEKTROTEHNI ˇSKI VESTNIK 78(1-2): 12–17, 2011
+EXISTING SEPARATE ENGLISH EDITION
+Uporaba emotivno pogojenega raˇcunalniˇstva v
+priporoˇcilnih sistemih
+Marko Tkalˇciˇc, Andrej Koˇsir, Jurij Tasiˇc
+Univerza v Ljubljani, Fakulteta za elektrotehniko, Trˇzaˇska 25, 1000 Ljubljana, Slovenija
+Univerza v Ljubljani, Fakulteta za raˇcunalniˇstvo in informatiko, Trˇzaˇska 25, 1000 Ljubljana, Slovenija
+E-poˇsta:
+Povzetek. V ˇclanku predstavljamo rezultate treh raziskav, vezanih na izboljˇsanje delovanja multimedijskih
+priporoˇcilnih sistemov s pomoˇcjo metod emotivno pogojenega raˇcunalniˇstva (ang. affective computing).
+Vsebinski priporoˇcilni sistem smo izboljˇsali s pomoˇcjo metapodatkov, ki opisujejo emotivne odzive uporabnikov.
+Pri skupinskem priporoˇcilnem sistemu smo dosegli znaˇcilno izboljˇsanje v obmoˇcju hladnega zagona z uvedbo
+nove mere podobnosti, ki temelji na osebnostnem modelu velikih pet (ang. five factor model). Razvili smo tudi
+sistem za neinvazivno oznaˇcevanje vsebin z emotivnimi parametri, ki pa ˇse ni zrel za uporabo v priporoˇcilnih
+sistemih.
+Kljuˇcne besede: priporoˇcilni sistemi, emotivno pogojeno raˇcunalniˇstvo, strojno uˇcenje, uporabniˇski profil,
+emocije
+Uporaba emotivnega raˇcunalniˇstva v priporoˇcilnih
+sistemih
+In this paper we present the results of three investigations of"

+baeb207ea6f4b52eea129b9d8597d4b7a0891ad6,"Sparse , Smart Contours to Represent and Edit Images","Sparse, Smart Contours to Represent and Edit Images
+Tali Dekel 1
+Chuang Gan 2
+Dilip Krishnan 1
+Ce Liu 1 William T. Freeman 1,3
+Google Research 2 MIT-Watson AI Lab 3 MIT-CSAIL
+Reconstruction from Sparse Contour Represenation
+Editing in the Contour Domain
+.4% px
+.5% px
+(a) Source
+(b) Contours
+(c) Source Reconstuction
+(d) Edited/blended Contours
+(e) Recon. from Edit
+Reference
+Figure 1. Our method produces high quality reconstructions of images from information along a small number of contours: a source
+(512×512) image in (a) is reconstructed in (c) from gradient information stored at the set of colored contours in (b)2, which are less than
+5% of the pixels. The model synthesizes hair texture, facial lines and shading even in regions where no input information is provided.
+Our model allows for semantically intuitive editing in the contour domain. Top-right: a caricature-like result (e) is created by moving and"

+ba1cf2d0493f25da61bd816f92712291999c0ef6,Simple online and realtime tracking with a deep association metric,"SIMPLE ONLINE AND REALTIME TRACKING WITH A DEEP ASSOCIATION METRIC
+Nicolai Wojke†, Alex Bewley(cid:5), Dietrich Paulus†
+University of Koblenz-Landau†, Queensland University of Technology(cid:5)"

+bade9b38c45afd4f988e246974427685f3ff599f,Pairwise Rotation Hashing for High-dimensional Features,"Pairwise Rotation Hashing for High-dimensional
+Features
+Kohta Ishikawa, Ikuro Sato, and Mitsuru Ambai
+Denso IT Laboratory, Inc."

+badd371a49d2c4126df95120902a34f4bee01b00,Parallel Separable 3D Convolution for Video and Volumetric Data Understanding,"GONDA, WEI, PARAG, PFISTER: PARALLEL SEPARABLE 3D CONVOLUTION
+Parallel Separable 3D Convolution for Video
+nd Volumetric Data Understanding
+Harvard John A. Paulson School of
+Engineering and Applied Sciences
+Camabridge MA, USA
+Felix Gonda
+Donglai Wei
+Toufiq Parag
+Hanspeter Pfister"

+ba87bcf4bf799001641b7afd7d1025600f57c4a1,A Hybrid Architecture for Tracking People in Real-time Using a Video Surveillance Camera: Application for Behavioural Marketing,"Signal & Image Processing : An International Journal (SIPIJ) Vol.6, No.6, December 2015
+A HYBRID ARCHITECTURE FOR TRACKING
+PEOPLE IN REAL-TIME USING A VIDEO
+SURVEILLANCE CAMERA: APPLICATION FOR
+BEHAVIOURAL MARKETING
+Kheireddine AZIZ1, Djamal MERAD2, Jean-Luc DAMOISEAUX3 and
+Pierre DRAP2
+SeaTech Toulon, Toulon University, La Gardes, France
+LSIS Lab, Aix-Marseille University, Marseille, France
+IUT R&T, Aix-Marseille University, Marseille, France"

+bab47c7bf80c9310f947cbdaf71b3c983c497b68,Systematic Parameter Optimization and Application of Automated Tracking in Pedestrian Dominant Situations Date of submission : 2014-0801,"Systematic Parameter Optimization and Application of Automated
+Tracking in Pedestrian Dominant Situations
+Date of submission: 2014-08-01
+Dariush Ettehadieh*
+M.Sc. Student,
+Polytechnique Montréal,
+500, Chemin de Polytechnique, Montreal
+phone : 1-514-266-5544
+Bilal Farooq
+Assistant Professor,
+Polytechnique Montréal
+500, Chemin de Polytechnique, Montreal
+phone : 1-514-340-4711 ext. 4802
+Nicolas Saunier
+Associate Professor,
+Polytechnique Montréal
+500, Chemin de Polytechnique, Montreal
+phone : 1-514-340-4711 ext. 4962
+5029 Words + 4 Figures + 3 Tables = 6779
+Submitted for presentation to the 94th Annual Meeting of the Transportation Research Board and publication in"

+ba7c01e1432bffc2fcde824d0b0ebd25ad7238c3,Face Recognition Techniques : A Review,"International Journal of Engineering Research and Development
+e-ISSN: 2278-067X, p-ISSN: 2278-800X, www.ijerd.com
+Volume 4, Issue 7 (November 2012), PP. 70-78
+Face Recognition Techniques: A Review
+Rajeshwar Dass, 2Ritu Rani, 3Dharmender Kumar
+,2,3 Deen Bandhu Chotu Ram University of Science & Technology Murthal, Haryana, India"

+a079309d28b6f8753ca26a789bd0bc43de9bd9f8,Interpretable Counting for Visual Question Answering,"Published as a conference paper at ICLR 2018
+INTERPRETABLE COUNTING FOR VISUAL QUESTION
+ANSWERING
+Alexander Trott, Caiming Xiong∗, & Richard Socher
+Salesforce Research
+Palo Alto, CA"

+a0f94e9400938cbd05c4b60b06d9ed58c3458303,Value-Directed Human Behavior Analysis from Video Using Partially Observable Markov Decision Processes,"Value-Directed Human Behavior Analysis
+from Video Using Partially Observable
+Markov Decision Processes
+Jesse Hoey and James J. Little, Member, IEEE"

+a022eff5470c3446aca683eae9c18319fd2406d5,Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description sémantique des traits visuels humains),"017-ENST-0071
+EDITE - ED 130
+Doctorat ParisTech
+T H È S E
+pour obtenir le grade de docteur délivré par
+TÉLÉCOM ParisTech
+Spécialité « SIGNAL et IMAGES »
+présentée et soutenue publiquement par
+Grigory ANTIPOV
+le 15 décembre 2017
+Apprentissage Profond pour la Description Sémantique des Traits
+Visuels Humains
+Directeur de thèse : Jean-Luc DUGELAY
+Co-encadrement de la thèse : Moez BACCOUCHE
+Mme Bernadette DORIZZI, PRU, Télécom SudParis
+Mme Jenny BENOIS-PINEAU, PRU, Université de Bordeaux
+M. Christian WOLF, MC/HDR, INSA de Lyon
+M. Patrick PEREZ, Chercheur/HDR, Technicolor Rennes
+M. Moez BACCOUCHE, Chercheur/Docteur, Orange Labs Rennes
+M. Jean-Luc DUGELAY, PRU, Eurecom Sophia Antipolis"

+a06ef8ef4838c048b814563f7cca479c7d4513f2,Multi-module Singular Value Decomposition for Face Recognition,"ORIENTAL JOURNAL OF
+COMPUTER SCIENCE & TECHNOLOGY
+An International Open Free Access, Peer Reviewed Research Journal
+Published By: Oriental Scientific Publishing Co., India.
+www.computerscijournal.org
+ISSN: 0974-6471
+April  2014,
+Vol. 7, No. (1):
+Pgs. 09-14
+Multi-module  Singular Value  Decomposition
+for  Face  Recognition
+A. NAMACHIVAYAM and KALIYAPERUMAL KARTHIKEYAN
+Eritrea Institute of Technology, Asmara, Eritrea, North East Africa.
+(Received: March 20, 2014; Accepted: March 30, 2014)"

+a0c37f07710184597befaa7e6cf2f0893ff440e9,Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning,

+a010835842ac0e49eade395f056e1e33d45b6ea5,Four Way Local Binary Pattern for Gender Classification Using Periocular Images,"Four Way Local Binary Pattern for
+Gender Classification Using Periocular
+Images
+Md. Siyam Sajeeb Khan
+(2014-1-60-024)
+Rifat Mehreen Amin
+(2014-1-60-003)
+Department of Computer Science and Engineering
+East West University
+Aftabnagar, Dhaka-1212, Bangladesh
+August, 2017"

+a0a950f513b4fd58cee54bccc49b852943ffd02c,Image Inpainting using Block-wise Procedural Training with Annealed Adversarial Counterpart,"Image Inpainting using Block-wise Procedural Training with Annealed
+Adversarial Counterpart
+Chao Yang1, Yuhang Song1, Xiaofeng Liu2, Qingming Tang3, and C.-C. Jay Kuo1
+USC, 2Carnegie Mellon University, 3Toyota Technological Institute at Chicago,"

+a012b41fc54060e11744db20ef6d191b290f1879,Unconstrained Face Recognition From Blurred and Illumination with Pose Variant Face Image Using SVM,"ISSN(Online): 2320-9801
+ISSN (Print):  2320-9798
+International Journal of Innovative Research in Computer and Communication Engineering
+(An ISO 3297: 2007 Certified Organization)
+Vol.2, Special Issue 1, March 2014
+Proceedings of International Conference On Global Innovations In Computing Technology (ICGICT’14)
+Department of CSE, JayShriram Group of Institutions, Tirupur, Tamilnadu, India on 6th & 7th March 2014
+Organized by
+Unconstrained Face Recognition From Blurred and
+Illumination with Pose Variant Face Image Using
+Dept. of CSE, PG Student (SE), Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India1
+C.Indhumathi1"

+a0e3775fd5d5df951ac7f65d3a9165bf4b96fbd8,Towards Automatic Image Editing: Learning to See another You,"Towards Automatic Image Editing: Learning to See another You
+Amir Ghodrati1∗, Xu Jia1∗, Marco Pedersoli2†, Tinne Tuytelaars1
+KU Leuven, ESAT-PSI, iMinds
+INRIA"

+a0b2df8f72ff672cb0760c5221657a5f48f0ec5d,Searching Image Databases Using Appearance Models,"Searching Image Databases
+Using Appearance Models
+A thesis submitted to the University of Manchester for the degree of
+Doctor of Philosophy in the Faculty of Medicine, Dentistry, Nursing
+nd Pharmacy
+Ian M. Scott
+Division of Imaging Science and Biomedical Engineering"

+a01ba008252d2ce32f326f50c208c9ad9d5c78a6,Detecting Sudden Pedestrian Crossings and Avoiding Accidents Using Arm 11,"K. Sri Krishna Aditya et al Int. Journal of Engineering Research and Applications       www.ijera.com
+ISSN : 2248-9622, Vol. 3, Issue 5, Sep-Oct 2013, pp.1213-1216
+RESEARCH ARTICLE                                                                               OPEN ACCESS
+Detecting Sudden Pedestrian Crossings and Avoiding Accidents
+Using Arm 11
+K. Sri Krishna Aditya1, T. Surya Kavita2, U. Yedukondalu3
+Assistant Professor, 2Associate Professor, 3Head of the Department E.C.E.
+Aditya Engineering College, 2Aditya Engineering College, 3Aditya Engineering College"

+a0fd85b3400c7b3e11122f44dc5870ae2de9009a,Learning Deep Representation for Face Alignment with Auxiliary Attributes,"Learning Deep Representation for Face
+Alignment with Auxiliary Attributes
+Zhanpeng Zhang, Ping Luo, Chen Change Loy, Member, IEEE and Xiaoou Tang, Fellow, IEEE"

+a0dfb8aae58bd757b801e2dcb717a094013bc178,Reconocimiento de expresiones faciales con base en la dinámica de puntos de referencia faciales,"Reconocimiento de expresiones faciales con base
+en la din´amica de puntos de referencia faciales
+E. Morales-Vargas, C.A. Reyes-Garcia, Hayde Peregrina-Barreto
+Instituto Nacional de Astrof´ısica ´Optica y Electr´onica,
+Divisi´on de Ciencias Computacionales, Tonantzintla, Puebla,
+M´exico
+Resumen. Las expresiones faciales permiten a las personas comunicar
+emociones, y es pr´acticamente lo primero que observamos al interactuar
+on alguien. En el ´area de computaci´on, el reconocimiento de expresiones
+faciales es importante debido a que su an´alisis tiene aplicaci´on directa en
+´areas como psicolog´ıa, medicina, educaci´on, entre otras. En este articulo
+se presenta el proceso de dise˜no de un sistema para el reconocimiento de
+expresiones faciales utilizando la din´amica de puntos de referencia ubi-
+ados en el rostro, su implementaci´on, experimentos realizados y algunos
+de los resultados obtenidos hasta el momento.
+Palabras clave: Expresiones faciales, clasificaci´on, m´aquinas de soporte
+vectorial,modelos activos de apariencia.
+Facial Expressions Recognition Based on Facial
+Landmarks Dynamics"

+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
+Zhuowen Tu3
+Serge Belongie1,2
+Comp. Science & Eng.
+Univ. of CA, San Diego
+Electrical Engineering
+California Inst. of Tech.
+Lab of Neuro Imaging
+Univ. of CA, Los Angeles"

+a090d61bfb2c3f380c01c0774ea17929998e0c96,On the dimensionality of video bricks under varying illumination,"On the Dimensionality of Video Bricks under Varying Illumination
+Beijing Lab of Intelligent Information Technology, School of Computer Science,
+Youdong Zhao, Xi Song, Yunde Jia
+Beijing Institute of Technology, Beijing 100081, PR China
+{zyd458, songxi,"

+a05a770bb2b7778e195a578006482926dfc1af82,Learning to Recognize Pedestrian Attribute,"Learning to Recognize Pedestrian Attribute
+Yubin Deng, Ping Luo, Chen Change Loy, Member, IEEE, and Xiaoou Tang, Fellow, IEEE"

+a016fbe8d09402316c7b38946ccd502d76aa8c74,Using a Single RGB Frame for Real Time 3D Hand Pose Estimation in the Wild,"Using a single RGB frame for real time 3D hand pose estimation in the wild
+Paschalis Panteleris1
+Iason Oikonomidis1
+Institute of Computer Science, FORTH
+Computer Science Department, UOC
+Antonis Argyros1,2"

+a0798a0a422520241cc02282946882dd1ef853cd,Full Quantification of Left Ventricle via Deep Multitask Learning Network Respecting Intra- and Inter-Task Relatedness,"Full Quantification of Left Ventricle via Deep
+Multitask Learning Network Respecting
+Intra- and Inter-Task Relatedness
+Wufeng Xue, Andrea Lum, Ashley Mercado, Mark Landis, James Warrington,
+nd Shuo Li*
+Department of Medical Imaging, Western University, ON, Canada
+Digital Imaging Group of London, ON, Canada"

+a0541d4a28d90a17cd3eaa9d1797882eacc8ccf0,Improving Person Re-identification via Pose-Aware Multi-shot Matching,"Improving Person Re-identification via Pose-aware Multi-shot Matching
+Yeong-Jun Cho and Kuk-Jin Yoon
+Computer Vision Laboratory, GIST, South Korea
+{yjcho,"

+a0e5afb1237d47f7a8ac66e7b5ada24cec5222cb,Semantic pooling for image categorization using multiple kernel learning,"SEMANTIC POOLING FOR IMAGE CATEGORIZATION USING MULTIPLE KERNEL
+LEARNING
+Thibaut Durand(1,2), David Picard(1), Nicolas Thome(2), Matthieu Cord(2)
+(1) ETIS, UMR 8051 / ENSEA, Universit´e Cergy-Pontoise, CNRS, F-95000, Cergy,
+(2) Sorbonne Universit´es, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, Paris, France"

+a06761b3181a003c2297d8e86c7afc20e17fd2c6,Convolutional Neural Network-Based Human Detection in Nighttime Images Using Visible Light Camera Sensors,"Article
+Convolutional Neural Network-Based Human
+Detection in Nighttime Images Using Visible Light
+Camera Sensors
+Jong Hyun Kim, Hyung Gil Hong and Kang Ryoung Park *
+Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu,
+Seoul 100-715, Korea; (J.H.K.); (H.G.H.)
+* Correspondence: Tel.: +82-10-3111-7022; Fax: +82-2-2277-8735
+Academic Editor: Vittorio M. N. Passaro
+Received: 31 March 2017; Accepted: 4 May 2017; Published: 8 May 2017"

+a000149e83b09d17e18ed9184155be140ae1266e,Action Recognition in Realistic Sports Videos,"Chapter 9
+Action Recognition in Realistic
+Sports Videos
+Khurram Soomro and Amir R. Zamir"

+a01f9461bc8cf8fe40c26d223ab1abea5d8e2812,Facial Age Estimation Through the Fusion of Texture and Local Appearance Descriptors,"Facial Age Estimation Through the Fusion of Texture
+nd local appearance Descriptors
+Ivan Huerta1, Carles Fern´andez2, and Andrea Prati1
+DPDCE, University IUAV, Santa Croce 1957, 30135 Venice, Italy
+Herta Security, Pau Claris 165 4-B, 08037 Barcelona, Spain"

+a0e03c5b647438299c79c71458e6b1776082a37b,Areas of Attention for Image Captioning,"transformerFigure1.Weproposeanattentionmechanismthatjointlypredictsthenextcaptionwordandthecorrespondingregionateachtime-stepgiventheRNNstate(top).BesidesimplementingourmodelusingattentionareasdefinedoverCNNactivationgridsorobjectproposals,asusedinpreviouswork,wealsopresentaend-to-endtrainableconvolutionalspatialtransformerapproachtocomputeimagespecificattentionareas(bottom).typeorlocation,objectproperties,andtheirinteractions.Neuralencoder-decoderbasedapproaches,similartothoseusedinmachinetranslation[30],havebeenfoundveryeffectiveforthistask,seee.g.[19,23,32].Thesemethodsuseaconvolutionalneuralnetwork(CNN)toen-codetheinputimageintoacompactrepresentation.Are-currentneuralnetwork(RNN)isusedtodecodethisrepre-sentationword-by-wordintoanaturallanguagedescriptionoftheimage.Whileeffective,thesemodelsarelimitedinthattheimageanalysisis(i)static,i.e.doesnotchangeovertimeasthedescriptionisproduced,and(ii)notspatiallylo-calized,i.e.describesthesceneasawholeinsteadoffo-cousingonlocalaspectsrelevanttopartsofthedescription.Attentionmechanismscanaddresstheselimitationsbydy-namicallyfocusingondifferentpartsoftheinputastheout-putsequenceisgenerated.Suchmechanismsareeffectiveforavarietyofsequentialpredictiontasks,includingma-1"

+a759570e6ef674cd93068020c2e6bd036961f7c6,SPEECH-COCO: 600k Visually Grounded Spoken Captions Aligned to MSCOCO Data Set,"SPEECH-COCO: 600k Visually Grounded Spoken Captions Aligned to
+MSCOCO Data Set
+William N. Havard1, Laurent Besacier1, Olivier Rosec2
+Univ. Grenoble Alpes, CNRS, Grenoble INP, LIG, F-38000 Grenoble, France
+Voxygen, France"

+a702fc36f0644a958c08de169b763b9927c175eb,Facial expression recognition using Hough forest,"FACIAL EXPRESSION RECOGNITION USING HOUGH FOREST
+Chi-Ting Hsu1, Shih-Chung Hsu1, and Chung-Lin Huang1,2
+.  Department of Electrical Engineering, National Tsing-Hua University, Hsin-Chu, Taiwan
+Email:
+.  Department of Applied Informatics and Multimedia, Asia University, Taichung, Taiwan"

+a7790555c65be0fc5b5de9bcb1dc550f4919ce3f,Literature Survey for Face Detection under Illumination Variation,"International Journal of Scientific Research Engineering & Technology (IJSRET)
+Volume 2 Issue 10   pp 659-664 January 2014
+www.ijsret.org            ISSN 2278 – 0882
+Literature Survey for Face Detection under Illumination Variation
+J.SHYNU, P.KANNAN
+PG Scholar Department of ECE, PET Engineering College, India
+Professor Department of ECE, PET Engineering College, India"

+a7267bc781a4e3e79213bb9c4925dd551ea1f5c4,Proceedings of eNTERFACE 2015 Workshop on Intelligent Interfaces,"Proceedings of eNTERFACE’15
+The 11th Summer Workshop
+on Multimodal Interfaces
+August 10th - September 4th, 2015
+Numediart Institute, University of Mons
+Mons, Belgium"

+a7a1d3036c542824f2c681c3bf08f5b85f05d9e9,A Fast and Precise HOG-Adaboost Based Visual Support System Capable to Recognize Pedestrian and Estimate Their Distance,"A fast and precise HOG-Adaboost based based visual support
+system capable to recognize Pedestrian and estimate their distance.
+Yokohama City University, Graduate School of Nanobioscience, 22-2 Seto Kanazawa-ku, 236-0027 Yokohama, Japan
+Takahisa Kishino1, Sun Zhe1,Ruggero Micheletto1"

+a784a0d1cea26f18626682ab108ce2c9221d1e53,Anchored Regression Networks Applied to Age Estimation and Super Resolution,"Anchored Regression Networks applied to Age Estimation and Super Resolution
+Eirikur Agustsson
+D-ITET, ETH Zurich
+Switzerland
+Radu Timofte
+D-ITET, ETH Zurich
+Merantix GmbH
+Luc Van Gool
+D-ITET, ETH Zurich
+ESAT, KU Leuven"

+a77e9f0bd205a7733431a6d1028f09f57f9f73b0,Multimodal feature fusion for CNN-based gait recognition: an empirical comparison,"Multimodal feature fusion for CNN-based gait recognition: an
+empirical comparison
+F.M. Castroa,, M.J. Mar´ın-Jim´enezb, N. Guila, N. P´erez de la Blancac
+Department of Computer Architecture, University of Malaga, Spain, 29071
+Department of Computing and Numerical Analysis, University of Cordoba, Spain, 14071
+Department of Computer Science and Artificial Intelligence, University of Granada, Spain, 18071"

+a7d23c699a5ae4ad9b8a5cbb8c38e5c3b5f5fb51,A Summary of literature review : Face Recognition,"Postgraduate Annual Research Seminar 2007 (3-4 July 2007)
+A Summary of literature review : Face Recognition
+Kittikhun Meethongjan & Dzulkifli Mohamad
+Faculty of Computer Science & Information System,
+University Technology of Malaysia, 81310 Skudai, Johor, Malaysia."

+a77e0db38ed7ad95a3bca95fea72048985c54508,DART: Distribution Aware Retinal Transform for Event-based Cameras,"SUBMITTED TO IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
+DART: Distribution Aware Retinal Transform for
+Event-based Cameras
+Bharath Ramesh*, Hong Yang, Garrick Orchard, Ngoc Anh Le Thi, and Cheng Xiang, Member, IEEE"

+a7fe834a0af614ce6b50dc093132b031dd9a856b,Orientation Driven Bag of Appearances for Person Re-identification,"Orientation Driven Bag of Appearances for Person
+Re-identification
+Liqian Ma, Hong Liu†, Member, IEEE, Liang Hu, Can Wang, Qianru Sun"

+a7664247a37a89c74d0e1a1606a99119cffc41d4,Modal Consistency based Pre-Trained Multi-Model Reuse,Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)

+a7bfb6426359140a0bc0c84741ad9a3ac83eff04,Object-Level Context Modeling For Scene Classification with Context-CNN,"Object-Level Context Modeling For Scene Classification with Context-CNN
+Syed Ashar Javed1 and Anil Kumar Nelakanti2
+IIIT Hyderabad, 2Amazon"

+a71e3cf566de457336aab9dd6a5f5d6282b4a6af,Visual Abstraction for Zero-Shot Learning,

+a73bc57fb0aa429ba5f7f12b6d02e2c6274cabdd,A Superior Tracking Approach: Building a Strong Tracker through Fusion,"A Superior Tracking Approach:
+Building a Strong Tracker through Fusion
+Christian Bailer1, Alain Pagani1, and Didier Stricker1,2
+German Research Center for Artificial Intelligence, Kaiserslautern, Germany
+University of Kaiserslautern, Germany"

+a7152589980ec27375023d719eec6acc04b7d4fd,Generating Facial Expressions,"Generating Facial Expressions
+Jonathan Suit
+Georgia Tech"

+a7a6eb53bee5e2224f2ecd56a14e3a5a717e55b9,Face Recognition Using Multi-viewpoint Patterns for Robot Vision,"1th International Symposium of Robotics Research (ISRR2003), pp.192-201, 2003
+Face Recognition Using Multi-viewpoint Patterns for
+Robot Vision
+Kazuhiro Fukui and Osamu Yamaguchi
+Corporate Research and Development Center, TOSHIBA Corporation
+, KomukaiToshiba-cho, Saiwai-ku, Kawasaki 212-8582 Japan"

+a7e274db8f1389b95469588995f18c1c42b62534,VideoStory Embeddings Recognize Events when Examples are Scarce,

+a7e78f80e0e37d0c17bc09058c27996e32e4454e,UNAM at SemEval-2018 Task 10: Unsupervised Semantic Discriminative Attribute Identification in Neural Word Embedding Cones,"Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval-2018), pages 977–984
+New Orleans, Louisiana, June 5–6, 2018. ©2018 Association for Computational Linguistics"

+a758b744a6d6962f1ddce6f0d04292a0b5cf8e07,"Study on Human Face Recognition under Invariant Pose, Illumination and Expression using LBP, LoG and SVM","ISSN XXXX XXXX © 2017 IJESC
+Research Article                                                                                                                              Volume 7 Issue No.4
+Study on Human Face Recognition under Invariant Pose, Illumination
+nd Expression using LBP, LoG and SVM
+Amrutha
+Depart ment of Co mputer Science & Engineering
+Mangalore Institute of Technology & Engineering , Moodabidri, Mangalore, India
+INTRODUCTION
+RELATED WORK
+Abstrac t:
+Face  recognition  system  uses  human  face  for  the  identification  of  the   user.  Face  recognition  is  a  difficu lt  task  there  is  no  unique
+method  that  provide  accurate  an  accurate  and  effic ient  solution  in  all  the  situations  like  the  face  image  with  differen t  pose ,
+illu mination  and  exp ression.  Local  Binary  Pattern  (LBP)  and  Laplac ian  of  Gaussian  (Lo G)  operators.  Support  Vector  Machine
+lassifier  is  used  to  recognize  the  human  face.  The  Lo G  algorith m  is  used  to preprocess the  image  to  detect  the  edges of  the  face
+image to get the image information. The  LBP operator divides the face  image into several blocks to generate the features informat ion
+on  pixe l  level  by  creating  LBP  labels  for  all  the  blocks  of  image  is  obtained  by  concatenating  all  the  individual  local  histo grams.
+Support Vector Machine classifier  (SVM )  is used to classify t he image. The a lgorith m performances is verified under the constraints
+like illu mination, e xp ression and pose variation
+Ke ywor ds:  Face  Recognition,  Local  Binary  Pattern,  Laplac ian  of  Gaussian,  histogram,  illu mination,  pose  angle,  exp ression
+variations, SVM ."

+a73a16203b644353a287a4759bc951450e67d700,BodyNet: Volumetric Inference of 3D Human Body Shapes,"BodyNet: Volumetric Inference of
+D Human Body Shapes
+G¨ul Varol1,*
+Ersin Yumer2,‡
+Duygu Ceylan2
+Bryan Russell2
+Jimei Yang2
+Ivan Laptev1,*
+Cordelia Schmid1,†
+Inria, France
+Adobe Research, USA"

+a764cba765648c6e36782b02393ea2eed5cd69c7,Contributions to large-scale learning for image classification. (Contributions à l'apprentissage grande échelle pour la classification d'images),"CONTRIBUTIONSTOLARGE-SCALELEARNINGFORIMAGECLASSIFICATIONZeynepAkataPhDThesisl’´EcoleDoctoraleMath´ematiques,SciencesetTechnologiesdel’Information,InformatiquedeGrenoble"

+a7663528eb6c9b79a68b94800e30da952c0b6bb2,IFQ-Net : Integrated Fixed-point Quantization Networks for Embedded Vision,"IFQ-Net: Integrated Fixed-point Quantization Networks for Embedded Vision
+Hongxing Gao, Wei Tao, Dongchao Wen
+Canon Information Technology (Beijing) Co., LTD
+Tse-Wei Chen, Kinya Osa, Masami Kato
+Device Technology Development Headquarters, Canon Inc."

+a7e8ce268c16ea8c10e4c5ccd8d6e53702423faa,The Ciona17 Dataset for Semantic Segmentation of Invasive Species in a Marine Aquaculture Environment,"The Ciona17 Dataset for Semantic Segmentation
+of Invasive Species in a Marine Aquaculture Environment
+Angus Galloway∗, Graham W. Taylor∗, Aaron Ramsay†, Medhat Moussa∗
+School of Engineering
+University of Guelph
+Guelph, ON, Canada
+{gallowaa, gwtaylor,
+Department of Agriculture and Fisheries
+Government of PEI
+Montague, PEI, Canada"

+a75ee7f4c4130ef36d21582d5758f953dba03a01,Human face attributes prediction with Deep Learning,"DD2427 Final Project Report
+Mohamed Abdulaziz Ali Haseeb
+DD2427 Final Project Report
+Human face attributes prediction with Deep
+Learning
+Mohamed Abdulaziz Ali Haseeb"

+a726858df7c9503116504206577a938df1a67815,Unsupervised Vehicle Re-Identification using Triplet Networks,"Unsupervised Vehicle Re-Identification using Triplet Networks
+Pedro Antonio Mar´ın-Reyes
+Andrea Palazzi
+University of Las Palmas de Gran Canaria
+University of Modena and Reggio Emilia
+Luca Bergamini
+Simone Calderara
+University of Modena and Reggio Emilia
+University of Modena and Reggio Emilia
+Javier Lorenzo-Navarro
+Rita Cucchiara
+University of Las Palmas de Gran Canaria
+University of Modena and Reggio Emilia"

+a760ce8baddf2da7946d2ed6f02ac3927f39a9da,Face Recognition Using a Unified 3D Morphable Model,"Face Recognition Using a Unified 3D Morphable Model
+Hu, G., Yan, F., Chan, C-H., Deng, W., Christmas, W., Kittler, J., & Robertson, N. M. (2016). Face Recognition
+Using a Unified 3D Morphable Model. In Computer Vision – ECCV 2016: 14th European Conference,
+Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part VIII (pp. 73-89). (Lecture Notes in
+Computer Science; Vol. 9912). Springer Verlag. DOI: 10.1007/978-3-319-46484-8_5
+Published in:
+Computer Vision – ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14,
+016, Proceedings, Part VIII
+Document Version:
+Peer reviewed version
+Queen's University Belfast - Research Portal:
+Link to publication record in Queen's University Belfast Research Portal
+Publisher rights
+The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-46484-8_5
+General rights
+Copyright for the publications made accessible via the Queen's University Belfast Research Portal is retained by the author(s) and / or other
+opyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated
+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"

+a71106ef95103276fac010c10291f6dd6fd9d9f5,Social status level and dimension interactively influence person evaluations indexed by P300s.,"ISSN: 1747-0919 (Print) 1747-0927 (Online) Journal homepage: http://www.tandfonline.com/loi/psns20
+Social status level and dimension interactively
+influence person evaluations indexed by P300s
+Ivo Gyurovski, Jennifer Kubota, Carlos Cardenas-Iniguez & Jasmin Cloutier
+To cite this article: Ivo Gyurovski, Jennifer Kubota, Carlos Cardenas-Iniguez & Jasmin Cloutier
+(2017): Social status level and dimension interactively influence person evaluations indexed by
+To link to this article:  http://dx.doi.org/10.1080/17470919.2017.1326400
+Accepted author version posted online: 02
+May 2017.
+Published online: 15 May 2017.
+Submit your article to this journal
+Article views: 11
+View related articles
+View Crossmark data
+Full Terms & Conditions of access and use can be found at
+http://www.tandfonline.com/action/journalInformation?journalCode=psns20
+Download by: [University of Chicago Library]
+Date: 22 May 2017, At: 09:19"

+a775da3e6e6ea64bffab7f9baf665528644c7ed3,Human Face Pose Estimation based on Feature Extraction Points,"International Journal of Computer Applications (0975 – 8887)
+Volume 142 – No.9, May 2016
+Human Face Pose Estimation based on Feature
+Extraction Points
+Guneet Bhullar
+Research scholar,
+Department of ECE
+SBSSTC, Moga Road,
+Ferozepur, Punjab, India"

+a703d51c200724517f099ee10885286ddbd8b587,Fuzzy neural networks(FNN)-based approach for personalized facial expression recognition with novel feature selection method,"Fuzzy Neural Networks(FNN)-based Approach for
+Personalized Facial Expression Recognition with
+Novel Feature Selection Method
+Dae-Jin Kim and Zeungnam Bien
+Div. of EE, Dept. of EECS, KAIST
+73-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, Korea
+Kwang-Hyun Park
+Human-friendly Welfare Robotic System Engineering Research Center, KAIST
+73-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, Korea"

+a70fa8af52e4cc32dae09e6e753f1dd3ec198327,Neural Task Representations as Weak Supervision for Model Agnostic Cross-Lingual Transfer,"Neural Task Representations as Weak Supervision for Model Agnostic
+Cross-Lingual Transfer
+Sujay Kumar Jauhar
+Microsoft Research AI
+Redmond, WA, USA
+Michael Gamon
+Microsoft Research AI
+Redmond, WA, USA
+Patrick Pantel∗
+Facebook Inc.
+Seattle, WA, USA"

+a7eee3222623778294461102d0dc770d4e09a7c5,A novel fusion-based method for expression-invariant gender classification,"978-1-4244-2354-5/09/$25.00 ©2009 IEEE
+ICASSP 2009"

+b878518814fee31ce8cb61040301e7a921892156,A Gaussian Feature Adaptive Integrated PCA-ICA Approach for Facial Recognition,"Vaishali et al, International Journal of Computer Science and Mobile Computing, Vol.4 Issue.5, May- 2015, pg. 401-406
+Available Online at www.ijcsmc.com
+International Journal of Computer Science and Mobile Computing
+A Monthly Journal of Computer Science and Information Technology
+IJCSMC, Vol. 4, Issue. 5, May 2015, pg.401 – 406
+RESEARCH ARTICLE
+ISSN 2320–088X
+A Gaussian Feature Adaptive Integrated PCA-ICA
+Approach for Facial Recognition
+Student, Dept. of ECE, ITM University Gurgaon Haryana
+Vaishali
+Dr. Rekha Vig
+Asstt. Prof, Dept. of ECE, ITM University Gurgaon Haryana"

+b871d1b8495025ff8a6255514ed39f7765415935,Application of Completed Local Binary Pattern for Facial Expression Recognition on Gabor Filtered Facial Images,"Application of Completed Local Binary Pattern for Facial Expression
+Recognition on Gabor Filtered Facial Images
+Tanveer Ahsan, 2Rifat Shahriar, *3Uipil Chong
+Dept. of Electrical and Computer Engineering, University of Ulsan, Ulsan, Republic of Korea"

+b85901174fa83c76ae994603228ba5b4f299a1af,"Sos, Lost in a High Dimensional Space","SOS, LOST IN A HIGH DIMENSIONAL SPACE
+Anne Hendrikse"

+b8dba0504d6b4b557d51a6cf4de5507141db60cf,Comparing Performances of Big Data Stream Processing Platforms with RAM3S,"Comparing Performances of Big Data Stream
+Processing Platforms with RAM3S"

+b8b46df1b013c30d791972ee109425a94e3adc06,"Automaticity, Control, and the Social Brain","C H A P T E R   1 9
+Automaticity, Control,
+nd the Social Brain
+Robert P. Spunt and Matthew D. Lieberman
+The  social  world  is  good  at  keeping  the
+human  brain  busy,  posing  cognitive  chal-
+lenges that are complex, frequent, and enor-
+mously important to our well-being. In fact,
+the  computational  demands  of  the  social
+world  may  be  the  principal  reason  why
+the  human  brain  has  evolved  to  its  present
+form and function relative to other primates
+(Dunbar,  1993).  Importantly,  the  human
+rain  is  often  able  to  make  sense  of  the
+social world without having to do too much
+work. This is because many of its processes
+re  automatically  initiated  by  the  presence
+of relevant social stimuli and run to comple-
+tion  without  much,  if  any,  conscious  inter-
+vention (Bargh & Chartrand, 1999; Gilbert,"

+b89862f38fff416d2fcda389f5c59daba56241db,A Web Survey for Facial Expressions Evaluation,"A Web Survey for Facial Expressions Evaluation
+Matteo Sorci
+Gianluca Antonini
+Jean-Philippe Thiran
+Ecole Polytechnique Federale de Lausanne
+Signal Processing Institute
+Ecublens, 1015 Lausanne, Switzerland
+Ecole Polytechnique Federale de Lausanne, Operation Research Group
+Michel Bierlaire
+Ecublens, 1015 Lausanne, Switzerland
+June 9, 2008"

+b8612b5c1aa0970b5d99340ad19d7fcede1b0854,"Fusion of Speech, Faces and Text for Person Identification in TV Broadcast","Fusion of speech, faces and text for
+person identification in TV broadcast
+Herv´e Bredin1, Johann Poignant2, Makarand Tapaswi3, Guillaume Fortier4,
+Viet Bac Le5, Thibault Napoleon6, Hua Gao3, Claude Barras1, Sophie Rosset1,
+Laurent Besacier2, Jakob Verbeek4, Georges Qu´enot2, Fr´ed´eric Jurie6, and
+Hazim Kemal Ekenel3
+Univ Paris-Sud / CNRS-LIMSI UPR 3251, BP 133, F-91403 Orsay, France
+UJF-Grenoble 1 / UPMF-Grenoble 2 / Grenoble INP / CNRS-LIG UMR 5217,
+F-38041 Grenoble, France
+Karlsruher Institut fur Technologie, Karlsruhe, Germany
+INRIA Rhone-Alpes, 655 Avenue de lEurope, F-38330 Montbonnot, France
+5 Vocapia Research, 3 rue Jean Rostand, Parc Orsay Universit´e, F-91400 Orsay,
+6 Universit´e de Caen / GREYC UMR 6072, F-14050 Caen Cedex, France
+France"

+b82a4a0457170258aaf622b81e6f739a220398eb,Probe Strongly Similar Neutral Strongly Dissimilar Quasi-similar Quasi-dissimilar Push Pull,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TMM.2016.2605058, IEEE
+Transactions on Multimedia
+Person Re-identification via Ranking Aggregation
+of Similarity Pulling and Dissimilarity Pushing
+Mang Ye, Chao Liang(cid:3), Yi Yu, Zheng Wang, Qingming Leng,
+Chunxia Xiao, Member, IEEE, Jun Chen, Ruimin Hu, Senior Member, IEEE"

+b88771387d5c0f09ea9a2ccc743b11471fb257b4,An interactive facial-expression training platform for individuals with autism spectrum disorder,"An Interactive Facial-Expression Training Platform
+for Individuals with Autism Spectrum Disorder
+Christina Tsangouri*, Wei Li+, Zhigang Zhu*
+* Dept. of Comp. Sci.. and +Dept of Electrical Eng..
+City College of New York, New York, USA"

+b8a5839f6b1e051f430f2b89d5a1a7e49a10655a,DCFNet: Deep Neural Network with Decomposed Convolutional Filters,"DCFNet: Deep Neural Network with Decomposed Convolutional Filters
+Qiang Qiu 1 Xiuyuan Cheng 1 Robert Calderbank 1 Guillermo Sapiro 1"

+b8969d6e5658b360111f33d3f85eac63afcd7252,WESPE: Weakly Supervised Photo Enhancer for Digital Cameras,"WESPE: Weakly Supervised Photo Enhancer for Digital Cameras
+Andrey Ignatov, Nikolay Kobyshev, Kenneth Vanhoey, Radu Timofte, Luc Van Gool
+ETH Zurich
+{andrey, nk, vanhoey, timofter,"

+b8053da77bf1a5b4c87fddf6140be0a612cfc164,Multi-Pose Face Recognition Using Hybrid Face Features Descriptor,"MULTI-POSE FACE RECOGNITION USING
+HYBRID FACE FEATURES DESCRIPTOR
+I Gede Pasek Suta WIJAYA[1,2], Keiichi UCHIMURA[2] and Gou KOUTAKI[2]"

+b8b202fa955801da840afc9f523d439d14d87cc1,A Novel Approach for Monocular 3D Object Tracking in Cluttered Environment,"International Journal of Computational Intelligence Research
+ISSN 0973-1873 Volume 13, Number 5 (2017), pp. 851-864
+© Research India Publications
+http://www.ripublication.com
+A Novel Approach for Monocular 3D Object
+Tracking in Cluttered Environment
+Navneet S. Ghedia
+Research scholar, Gujarat Technological University, Gujarat, India.
+Dr. C.H. Vithalani
+Professor and Head of EC Dept., Government Engineering College, Rajkot, India.
+Dr. Ashish Kothari
+Associate Professor and Head of EC Dept., Atmiya Institute of Technology and
+Science, Rajkot, Gujarat, India."

+b8f3f6d8f188f65ca8ea2725b248397c7d1e662d,Selfie Detection by Synergy-Constraint Based Convolutional Neural Network,"Selfie Detection by Synergy-Constriant Based
+Convolutional Neural Network
+Yashas Annadani, Vijaykrishna Naganoor, Akshay Kumar Jagadish and Krishnan Chemmangat
+Electrical and Electronics Engineering, NITK-Surathkal, India."

+b85580ff2d8d8be0a2c40863f04269df4cd766d9,HCMUS team at the Multimodal Person Discovery in Broadcast TV Task of MediaEval 2016,"HCMUS team at the Multimodal Person Discovery in
+Broadcast TV Task of MediaEval 2016
+Vinh-Tiep Nguyen, Manh-Tien H. Nguyen, Quoc-Huu Che, Van-Tu Ninh,
+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,"

+b8471908880c916ebc70ac900e9446705ed258f4,Transitional and translational studies of risk for anxiety.,"Review
+TRANSITIONAL AND TRANSLATIONAL STUDIES
+OF RISK FOR ANXIETY
+B. J. Casey Ph.D.,
+Erika J. Ruberry B.S., Victoria Libby B.A., Charles E. Glatt M.D., Ph.D., Todd Hare Ph.D.,
+Fatima Soliman M.D., Ph.D., Stephanie Duhoux Ph.D., Helena Frielingsdorf M.D., Ph.D., and Nim Tottenham
+Ph.D.
+Adolescence reflects a period of increased rates of anxiety, depression, and
+suicide. Yet most teens emerge from this period with a healthy, positive outcome.
+In this article, we identify biological factors that may increase risk for some
+individuals during this developmental period by: (1) examining changes in
+neural circuitry underlying core phenotypic features of anxiety as healthy
+individuals transition into and out of adolescence; (2) examining genetic factors
+that may enhance the risk for psychopathology in one individual over another
+using translation from mouse models to human neuroimaging and behavior;
+nd (3) examining the effects of early experiences on core phenotypic features of
+nxiety using human neuroimaging and behavioral approaches. Each of these
+pproaches alone provides only limited information on genetic and environ-
+mental influences on complex human behavior across development. Together,
+they reflect an emerging field of translational developmental neuroscience in"

+b856c493c2e5cbb71791f56763886e5e0d40295c,Unsupervised Domain Adaptive Re-Identification: Theory and Practice,"Unsupervised Domain Adaptive Re-Identification:
+Theory and Practice
+Liangchen Song12∗ Cheng Wang23∗ Lefei Zhang1 Bo Du1
+Qian Zhang2 Chang Huang2 Xinggang Wang3
+Wuhan University 2Horizon Robotics
+Huazhong Univ. of Science and Technology"

+b8e35566129299c3591af0fd4f127e5e0d0b5774,3D Facial Image Comparison using Landmarks,"D Facial Image Comparison using Landmarks
+A study to the discriminating value of the characteristics
+of 3D facial landmarks and their automated detection.
+Alize Scheenstra
+Master thesis: INF/SCR-04-54
+Netherlands Forensic Institute
+Institute of Information and Computing Sciences
+Utrecht University
+February 2005"

+b831a08a7098b64485587541485859c9213e6dc2,Applications of 3D morphable models for faces with expressions,"Applications of 3D morphable models for faces with expressions
+B. Chu1,2, S. Romdhani1 et L. Chen2
+Morpho, SAFRAN Group
+1 boulevard Galliéni 92130 Issy-Les-Moulineaux - France
+{baptiste.chu,
+Université de Lyon, CNRS
+Ecole Centrale de Lyon, LIRIS UMR5205, F-69134
+Lyon, France
+{baptiste.chu,"

+b8a53daa97fb917a89c351c47f0b197573e20023,Recognizing Faces---An Approach Based on Gabor Wavelets,"Recognizing Faces --- An Approach Based on Gabor
+Wavelets
+By LinLin Shen, BSc, MSc
+Thesis submitted to the University of Nottingham
+for the degree of Doctor of Philosophy
+July 2005"

+b8f09ff53e5a1700492100b8cd1b9e9783485376,Clustered Multi-task Feature Learning for Attribute Prediction,"#1105
+CVPR 2016 Submission #1105. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
+#1105
+Clustered Multi-task Feature Learning for Attribute Prediction
+Anonymous CVPR submission
+Paper ID 1105"

+b8aef59bac4035013bcdaa9b56d665fc8b4e187d,Optimal Bayes Classification of High Dimensional Data in Face Recognition,"Optimal Bayes Classification of High Dimensional Data in Face
+Recognition
+GRIFT Research Group, CRISTAL Laboratory, National School of Computer Sciences, University of Manouba,
+Wissal Drira and Faouzi Ghorbel
+Manouba, Tunisia
+Keywords:
+Face  Classification,  Bayes,  Feature  Extraction,  Reduction  Dimension,  L2  Probabilistic  Dependence
+Measure."

+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"

+b8a4e7c21c3163b7595dac0cb00cf518e2dd82b5,Coupling Fall Detection and Tracking in Omnidirectional Cameras,"Coupling Fall Detection and Tracking in
+Omnidirectional Cameras
+removed for blind review
+No Institute Given"

+b88e0c3a6a95e5193085a258cd281802852e5a4a,Progression in large Age-gap face verification,"International Research Journal of Engineering and Technology (IRJET)       e-ISSN: 2395-0056
+Volume: 04 Issue: 09 | Sep -2017                     www.irjet.net                                                                 p-ISSN: 2395-0072
+Progression in large Age-gap face verification
+Neha Rahman1, Ankit Chaora2
+,2 Dept. of Electronics and Telecommunication Engineering, Rungta College of Engineering and Technology
+M.tech Scholar, Digital Electronics, 2Assistant Professor
+Bhilai, India
+techniques,  database,  machine
+research projects.
+.  The
+increasing  need  for  surveillance  related
+pplications  due  to  drug  trafficking  and  terrorist
+ctivities etc.
+.  The availability of real time hardware.
+.  The re-emergence of neural network classifiers with
+emphasis on real time computation and adaptation.
+---------------------------------------------------------------------***---------------------------------------------------------------------
+.  The increase in emphasis on civilian or commercial"

+b1d89015f9b16515735d4140c84b0bacbbef19ac,Too Far to See? Not Really!—Pedestrian Detection With Scale-Aware Localization Policy,"Too Far to See? Not Really!
+— Pedestrian Detection with Scale-aware
+Localization Policy
+Xiaowei Zhang, Li Cheng, Bo Li, and Hai-Miao Hu"

+b12431e61172443c534ea523a4d7407e847b5c5b,Yüz Tanımaya Dayalı Kişi Bazlı Test Otomasyonu,"Y¨uz Tanımaya Dayalı Ki¸si Bazlı Test
+Otomasyonu
+Alphan C¸ amlı1, Damla G¨ulen1, Nihat ¨Uk1, and Anıl G¨undo˘gdu1
+Siemens A.S., Istanbul 34870, Turkey"

+b1e27fade89e973f4087ed9a243981b0e713b22c,Functional neuroanatomy and the rationale for using EEG biofeedback for clients with Asperger's syndrome.,"Appl Psychophysiol Biofeedback (2010) 35:39–61
+DOI 10.1007/s10484-009-9095-0
+Functional Neuroanatomy and the Rationale for Using EEG
+Biofeedback for Clients with Asperger’s Syndrome
+Lynda Thompson Æ Michael Thompson Æ
+Andrea Reid
+Published online: 1 July 2009
+Ó Springer Science+Business Media, LLC 2009
+nd Oberman"

+b18f94c5296a9cebe9e779d50d193fd180f78ed9,Forecasting Interactive Dynamics of Pedestrians with Fictitious Play,"Forecasting Interactive Dynamics of Pedestrians with Fictitious Play
+Wei-Chiu Ma1 De-An Huang2 Namhoon Lee3 Kris M. Kitani4
+Stanford
+Oxford"

+b14b672e09b5b2d984295dfafb05604492bfaec5,Apprentissage de Modèles pour la Classification et la Recherche d ’ Images Learning Image Classification and Retrieval Models,LearningImageClassificationandRetrievalModelsThomasMensink

+b183914d0b16647a41f0bfd4af64bf94a83a2b14,Extensible video surveillance software with simultaneous event detection for low and high density crowd analysis,"Extensible Video Surveillance Software with
+Simultaneous Event Detection for Low and High
+Density Crowd Analysis
+Anuruddha L. Hettiarachchi, Heshani O. Thathsarani, Pamuditha U. Wickramasinghe,
+Dilranjan S. Wickramasuriya and Ranga Rodrigo
+Department of Electronic and Telecommunication Engineering, University of Moratuwa, Sri Lanka
+Email: 090184v, 090518c, 090560v, 090561b,"

+b196f95a4274533b7f931a509eaf5507358945f9,Transformation-Invariant Analysis of Visual Signals with Parametric Models,"POUR L'OBTENTION DU GRADE DE DOCTEUR ÈS SCIENCESacceptée sur proposition du jury:Prof. P. Vandergheynst, président du juryProf. P. Frossard, directeur de thèseProf. D. Kressner, rapporteur Dr G. Peyré, rapporteur Prof. M. B. Wakin, rapporteurTransformation-Invariant Analysis of Visual Signals with Parametric ModelsTHÈSE NO 5844 (2013)ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNEPRÉSENTÉE LE 4 OCTOBRE 2013 À LA  FACULTÉ DES SCIENCES ET TECHNIQUES DE L'INGÉNIEURLABORATOIRE DE TRAITEMENT DES SIGNAUX 4PROGRAMME DOCTORAL EN GÉNIE ÉLECTRIQUESuisse2013PARElif VURAL"

+b13254c2c9ca90f57e385d34abc7fe78d74e5222,Real-Time Multi-object Tracking with Occlusion and Stationary Objects Handling for Conveying Systems,"Real-time Multi-Object Tracking with Occlusion and
+Stationary Objects Handling for Conveying Systems
+Adel Benamara, Serge Miguet, Mihaela Scuturici
+To cite this version:
+Adel Benamara, Serge Miguet, Mihaela Scuturici. Real-time Multi-Object Tracking with Occlu-
+sion and Stationary Objects Handling for Conveying Systems. 12th International Symposium
+on Visual Computing (ISVC’16), Dec 2016, Las Vegas, NV, United States. .
+HAL Id: hal-01385529
+https://hal.archives-ouvertes.fr/hal-01385529
+Submitted on 26 Oct 2016
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+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"

+b11e97d5a12046ded77bc4dc0f762ac3c34e65cb,Blur and Illumination Invariant Robust Face Recognition Using Support Vector Machine (svm),"Vetri--International Journal of Computer Science information and Engg., Technologies ISSN 2277-4408 || 01032014-011
+BLUR AND ILLUMINATION INVARIANT ROBUST
+FACE RECOGNITION USING SUPPORT VECTOR
+MACHINE (SVM)
+A.Vetri Selvi1 , N.Priyalakshmi2, S.Reshmi3
+, G.Nandhini4,
+1, 2, 3  UG Scholars, Department of Information Technology, Sri Ramakrishna Engineering College, Coimbatore, India.
+4  Assistant  Professor,  Department  of  Information  Technology,  Sri  Ramakrishna  Engineering  College,  Coimbatore,
+India."

+b1a3b19700b8738b4510eecf78a35ff38406df22,Automatic Analysis of Facial Actions: A Survey,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TAFFC.2017.2731763, IEEE
+Transactions on Affective Computing
+JOURNAL OF LATEX CLASS FILES, VOL. 13, NO. 9, SEPTEMBER 2014
+Automatic Analysis of Facial Actions: A Survey
+Brais Martinez, Member, IEEE, Michel F. Valstar, Senior Member, IEEE, Bihan Jiang,
+nd Maja Pantic, Fellow, IEEE"

+b166ce267ddb705e6ed855c6b679ec699d62e9cb,Sample group and misplaced atom dictionary learning for face recognition,"Turk J Elec Eng & Comp Sci
+(2017) 25: 4421 { 4430
+⃝ T (cid:127)UB_ITAK
+doi:10.3906/elk-1702-49
+Sample group and misplaced atom dictionary learning for face recognition
+Meng WANG1;2, Zhengping HU1;(cid:3)
+, Zhe Sun1, Mei ZHU2, Mei SUN2
+Department of Information Science & Engineering, Faculty of Electronics & Communication, Yanshan University,
+Department of Physics & Electronics Engineering, Faculty of Electronics & Communication, Taishan University,
+Qinhuangdao, P.R. China
+Tai’an, P.R. China
+Received: 04.02.2017
+(cid:15)
+Accepted/Published Online: 01.06.2017
+(cid:15)
+Final Version: 05.10.2017"

+b16ff1331f961b2067c9464c491b7cbe90694758,Automatic plankton image classification combining multiple view features via multiple kernel learning,"Zheng et al. BMC Bioinformatics 2017, 18(Suppl 16):570
+DOI 10.1186/s12859-017-1954-8
+RESEARCH
+Open Access
+Automatic plankton image classification
+ombining multiple view features via multiple
+kernel learning
+Haiyong Zheng1, Ruchen Wang1, Zhibin Yu1, Nan Wang1, Zhaorui Gu1 and Bing Zheng2*
+From 16th International Conference on Bioinformatics (InCoB 2017)
+Shenzhen, China. 20-22 September 2017
+including phytoplankton and zooplankton, are the main source of food for organisms in the"

+b15a06d701f0a7f508e3355a09d0016de3d92a6d,Facial contrast is a cue for perceiving health from the face.,"Running head:  FACIAL CONTRAST LOOKS HEALTHY
+Facial contrast is a cue for perceiving health from the face
+Richard Russell1, Aurélie Porcheron2,3, Jennifer R. Sweda1, Alex L. Jones1, Emmanuelle
+Mauger2, Frederique Morizot2
+Gettysburg College, Gettysburg, PA, USA
+CHANEL Recherche et Technologie, Chanel PB
+Université Grenoble Alpes
+Author Note
+Richard Russell, Jennifer R. Sweda, and Alex L. Jones, Department of Psychology,
+Gettysburg College.  Aurélie Porcheron, Emmanuelle Mauger, and Frederique Morizot,
+CHANEL Recherche et Technologie, Chanel PB.  Aurélie Porcheron, Laboratoire de
+Psychologie et NeuroCognition, Université Grenoble Alpes.
+Corresponding author:  Richard Russell, Department of Psychology, Box 407, Gettysburg
+College, Gettysburg, PA 17325, USA.  Email:
+This is a prepublication copy.  This article may not exactly replicate the authoritative document
+published in the APA journal. It is not the copy of record.  The authoritative document can be
+found through this DOI: http://psycnet.apa.org/doi/10.1037/xhp0000219"

+b137480d2ccf3b53433de208815ce891d95af912,Visual Sentences for Pose Retrieval Over Low-Resolution Cross-Media Dance Collections,"Visual Sentences for Pose Retrieval over
+Low-resolution Cross-media Dance Collections
+Reede Ren, Member, IEEE, John Collomosse, Member, IEEE"

+b17b20c3a3804482a1af3be897758d4f3be26677,Self-calibrating 3D context for retrieving people with luggage,"Self-Calibrating 3D Context for Retrieving People with Luggage
+Johannes Schels∗ , Joerg Liebelt∗
+EADS Innovation Works
+M¨unchen, Germany
+Rainer Lienhart
+University of Augsburg
+Augsburg, Germany"

+b13499d60e7be1d593ec91fc952b9c32ce62bd57,Gambit: A Robust Chess-Playing Robotic System,"Gambit: A Robust Chess-Playing Robotic System
+Cynthia Matuszek, Brian Mayton, Roberto Aimi, Marc Peter Deisenroth, Liefeng Bo,
+Robert Chu, Mike Kung, Louis LeGrand, Joshua R. Smith, Dieter Fox"

+b1444b3bf15eec84f6d9a2ade7989bb980ea7bd1,Local Directional Relation Pattern for Unconstrained and Robust Face Retrieval,"LOCAL DIRECTIONAL RELATION PATTERN
+Local Directional Relation Pattern for
+Unconstrained and Robust Face Retrieval
+Shiv Ram Dubey, Member, IEEE"

+b1edff56936e5d306e51479142b98cc2414c1a56,Human-Centered Autonomous Vehicle Systems: Principles of Effective Shared Autonomy,"Human-Centered Autonomous Vehicle Systems:
+Principles of E(cid:128)ective Shared Autonomy
+Massachuse(cid:138)s Institute of Technology (MIT)
+Lex Fridman
+Figure 1: Principles of shared autonomy used for the design and development of the Human-Centered Autonomous Vehicle."

+b1451721864e836069fa299a64595d1655793757,Criteria Sliders: Learning Continuous Database Criteria via Interactive Ranking,"Criteria Sliders: Learning Continuous
+Database Criteria via Interactive Ranking
+James Tompkin,1∗ Kwang In Kim,2∗ Hanspeter Pfister,3 and Christian Theobalt4
+Brown University 2University of Bath
+Harvard University 4Max Planck Institute for Informatics"

+b1ec55cbf2e9a6785e1f1f2fc060e4171ec88b4b,Implicit Discrimination of Basic Facial Expressions of Positive/Negative Emotion in Fragile X Syndrome and Autism Spectrum Disorder.,"015, Vol. 120, No. 4, 328–345
+EAAIDD
+DOI: 10.1352/1944-7558-120.4.328
+Implicit Discrimination of Basic Facial Expressions of
+Positive/Negative Emotion in Fragile X Syndrome and
+Autism Spectrum Disorder
+Hayley Crawford, Joanna Moss, Giles M. Anderson, Chris Oliver, and Joseph P. McCleery"

+b1ffa7a926e129f8dccdd6f258fea034cbee9160,Minimizing hallucination in histogram of Oriented Gradients,"Minimizing hallucination in Histogram of Oriented Gradients
+Sławomir B ˛ak Michał Koperski
+INRIA Sophia Antipolis, STARS group
+François Brémond
+004, route des Lucioles, BP93
+06902 Sophia Antipolis Cedex - France
+Javier Ortiz"

+b1bd58bb76ae9e4504622a941e1da21a24b5cfdd,"International conference on Advanced Computing , Communication and Networks ’ 11 1087 Face Recognition Using Incremental Principal Component Analysis","International conference on Advanced Computing, Communication and Networks’11
+Face Recognition Using Incremental Principal Component Analysis
+Satish S. Banait1, Vivek Kshirsagar2, Meghana Nagori3, Archana R. Ugale4
+Dept. of Computer Engg. KK Wagh Institute of Engg. Education & Research Centre, Nashik
+, 3 Dept. of Computer Science & Engineering, Govt. College Of Engineering, Aurangabad, India
+Dept. of Computer Engg. MET’s BKC College of Engg., Nashik
+space
+-  IN
+feature"

+b1ffd13e8f68401a603eea9806bc37e396a3c77d,Face Generation with Conditional Generative Adversarial Networks,"Face Generation with Conditional Generative Adversarial Networks
+Xuwen Cao, Subramanya Rao Dulloor, Marcella Cindy Prasetio"

+b19f24ec92388513d1516d71292559417c776006,Causalgan: Learning Causal Implicit Gener-,"Under review as a conference paper at ICLR 2018
+CAUSALGAN: LEARNING CAUSAL IMPLICIT GENER-
+ATIVE MODELS WITH ADVERSARIAL TRAINING
+Anonymous authors
+Paper under double-blind review"

+b19e83eda4a602abc5a8ef57467c5f47f493848d,Heat Kernel Based Local Binary Pattern for Face Representation,"JOURNAL OF LATEX CLASS FILES
+Heat Kernel Based Local Binary Pattern for
+Face Representation
+Xi Li†, Weiming Hu†, Zhongfei Zhang‡, Hanzi Wang§"

+b18efa91e9893ae5fdfcaf880bae5c569fab4d18,Visual Scanning of Dynamic Affective Stimuli in Autism Spectrum Disorders,"Georgia State University
+ScholarWorks Georgia State University
+Psychology Dissertations
+Department of Psychology
+8-1-2012
+Visual Scanning of Dynamic Affective Stimuli in
+Autism Spectrum Disorders
+Susan M. McManus
+Georgia State University
+Follow this and additional works at: http://scholarworks.gsu.edu/psych_diss
+Recommended Citation
+McManus, Susan M., ""Visual Scanning of Dynamic Affective Stimuli in Autism Spectrum Disorders."" Dissertation, Georgia State
+University, 2012.
+http://scholarworks.gsu.edu/psych_diss/105
+This Dissertation is brought to you for free and open access by the Department of Psychology at ScholarWorks Georgia State University. It has been
+ccepted for inclusion in Psychology Dissertations by an authorized administrator of ScholarWorks Georgia State University. For more information,
+please contact"

+ddc8f480898a846c2a6ba0dddd7d733ce35f0e19,Dense Pose Transfer,"Dense Pose Transfer
+Natalia Neverova1, Rıza Alp G¨uler2, and Iasonas Kokkinos1
+Facebook AI Research, Paris, France, {nneverova,
+INRIA-CentraleSup´elec, Paris, France,"

+dde5125baefa1141f1ed50479a3fd67c528a965f,Synthesizing Normalized Faces from Facial Identity Features,"Synthesizing Normalized Faces from Facial Identity Features
+Forrester Cole1 David Belanger1,2 Dilip Krishnan1 Aaron Sarna1 Inbar Mosseri1 William T. Freeman1,3
+Google, Inc. 2University of Massachusetts Amherst 3MIT CSAIL
+{fcole, dbelanger, dilipkay, sarna, inbarm,"

+ddefb92908e6174cf48136ae139efbb4bd198896,Feature-wise Bias Amplification,"Under review as a conference paper at ICLR 2019
+FEATURE-WISE BIAS AMPLIFICATION
+Anonymous authors
+Paper under double-blind review"

+dd8084b2878ca95d8f14bae73e1072922f0cc5da,"Model Distillation with Knowledge Transfer in Face Classification, Alignment and Verification","Model Distillation with Knowledge Transfer from
+Face Classification to Alignment and Verification
+Chong Wang∗, Xipeng Lan and Yangang Zhang
+Beijing Orion Star Technology Co., Ltd. Beijing, China
+{chongwang.nlpr, xipeng.lan,"

+dd7ed20a65d811dcf863f796d6dcbe873f57e7c4,Object Detection Via Structural Feature Selection and Shape Model,"Object Detection via Structural Feature
+Selection and Shape Model
+Huigang Zhang, Xiao Bai, Jun Zhou, Senior Member, IEEE, Jian Cheng and
+Huijie Zhao"

+ddf55fc9cf57dabf4eccbf9daab52108df5b69aa,Methodology and Performance Analysis of 3-D Facial Expression Recognition Using Statistical Shape Representation,"International Journal of Grid and Distributed Computing
+Vol. 4, No. 3, September, 2011
+Methodology and Performance Analysis of 3-D Facial Expression
+Recognition Using Statistical Shape Representation
+Wei Quan, Bogdan J. Matuszewski, Lik-Kwan Shark
+ADSIP Research Centre, University of Central Lancashire
+{WQuan, BMatuszewski1,
+Charlie Frowd
+School of Psychology, University of Central Lancashire"

+dd72ed9a30e4d04703487df29a8762940bd79967,Image Retrieval based on LBP Transitions,"International Journal of Computer Applications (0975 – 8887)
+Volume 101– No.16, September 2014
+Image Retrieval based on LBP Transitions
+A. Srinivasa Rao
+Assoc.Prof in CSE Dept.
+MSSISTCE
+Mylavaram, Vijayawada
+V.Venkata Krishna
+Professor in CSE Dept.
+GIET, Rajahmundry
+Andhra Pradesh, India
+A.Obulesu
+Asst.Prof in CSE Dept.
+AGI (Autonomous), Hyderabad
+Telanganastate, India"

+ddea3c352f5041fb34433b635399711a90fde0e8,Facial Expression Classification using Visual Cues and Language,"Facial Expression Classification using Visual Cues and Language
+Abhishek Kar
+Advisor: Dr. Amitabha Mukerjee
+Department of Computer Science and Engineering, IIT Kanpur"

+dde24967490f58c8d10b2a00f12bf9103bd9b4a6,Evaluation of Shape Features for Efficient Classification Based on Rotational Invariant Using Texton Model,"Dr. P Chandra Sekhar Reddy, International Journal of Computer Science and Mobile Computing, Vol.5 Issue.8, August- 2016, pg. 282-295
+Available Online at www.ijcsmc.com
+International Journal of Computer Science and Mobile Computing
+A Monthly Journal of Computer Science and Information Technology
+ISSN 2320–088X
+IMPACT FACTOR: 5.258
+IJCSMC, Vol. 5, Issue. 8, August 2016, pg.282 – 295
+EVALUATION OF SHAPE FEATURES FOR
+EFFICIENT CLASSIFICATION BASED ON
+ROTATIONAL INVARIANT USING TEXTON MODEL
+Dr. P Chandra Sekhar Reddy
+Professor, CSE Dept.
+Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad"

+ddbd24a73ba3d74028596f393bb07a6b87a469c0,Multi-region Two-Stream R-CNN for Action Detection,"Multi-region two-stream R-CNN
+for action detection
+Xiaojiang Peng, Cordelia Schmid
+Inria(cid:63)"

+ddf099f0e0631da4a6396a17829160301796151c,Learning Face Image Quality from Human Assessments,"IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
+Learning Face Image Quality from
+Human Assessments
+Lacey Best-Rowden, Member, IEEE, and Anil K. Jain, Life Fellow, IEEE"

+dd0a334b767e0065c730873a95312a89ef7d1c03,Eigenexpressions: Emotion Recognition Using Multiple Eigenspaces,"Eigenexpressions: Emotion Recognition using Multiple
+Eigenspaces
+Luis Marco-Gim´enez1, Miguel Arevalillo-Herr´aez1, and Cristina Cuhna-P´erez2
+University of Valencia. Computing Department,
+Burjassot. Valencia 46100, Spain,
+Universidad Cat´olica San Vicente M´artir de Valencia (UCV),
+Burjassot. Valencia. Spain"

+dda7bb490171a1d3364928fb8143bbe021146c5f,Local Shape Spectrum Analysis for 3D Facial Expression Recognition,"Local Shape Spectrum Analysis for 3D Facial Expression Recognition
+Department of Information and Communication Technologies, Pompeu Fabra University, Barcelona, Spain
+Dmytro Derkach and Federico M. Sukno"

+dd8d53e67668067fd290eb500d7dfab5b6f730dd,A Parameter-Free Framework for General Supervised Subspace Learning,"A Parameter-Free Framework for General
+Supervised Subspace Learning
+Shuicheng Yan, Member, IEEE, Jianzhuang Liu, Senior Member, IEEE, Xiaoou Tang, Senior Member, IEEE,
+nd Thomas S. Huang, Life Fellow, IEEE"

+ddcb77d09e4e9e2a948f9ffe7eaa5554dceb8ce3,Revisiting Cross Modal Retrieval,

+ddbfea5302fcb5cbc2ca4c498a592ddb063b9eff,L Ow Supervision Visual Learning through Cooperative Agents,"Low-supervision visual learning through cooperative agents
+Ashish Bora
+Abhishek Sinha"

+ddbb6e0913ac127004be73e2d4097513a8f02d37,Face Detection Using Quantized Skin Color Regions Merging and Wavelet Packet Analysis,"IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 1, NO. 3, SEPTEMBER 1999
+Face Detection Using Quantized Skin Color
+Regions Merging and Wavelet Packet Analysis
+Christophe Garcia and Georgios Tziritas, Member, IEEE"

+ddfde5d6f4e720aeb770a20e4197db3a0c279958,Learning Convolutional Text Representations for Visual Question Answering,"Learning Convolutional Text Representations for Visual Question Answering
+Zhengyang Wang∗
+Shuiwang Ji†"

+dd54255065cf93895661c40073cdd031af7dd7e8,"GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose","GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose
+Zhichao Yin and Jianping Shi
+SenseTime Research
+{yinzhichao,"

+dc53c4bb04e787a0d45dd761ba2101cc51c17b82,Multiple-Person Tracking by Detection,"http://excel.fit.vutbr.cz
+Multiple-Person Tracking by Detection
+Jakub Vojvoda*"

+dc3cd4e110b526cb59bd7527d540120c5fae77ce,Adversarially Tuned Scene Generation,"Adversarially Tuned Scene Generation
+VSR Veeravasarapu1, Constantin Rothkopf2, Ramesh Visvanathan1
+Center for Cognition and Computation, Dept. of Computer Science, Goethe University, Frankfurt
+Center for Cognitive Science & Dept. of Psychology, Technical University Darmstadt."

+dcf17cc3b4f8519a6789c1ea086689bcbc1d6f11,Unsupervised Learning of Deep Feature Representation for Clustering Egocentric Actions,Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)

+dceaef5e7cbfc4d0150c2d765cc3df4349b8b2bd,Sentiment Analysis Using Social Multimedia,"Chapter 2
+Sentiment Analysis Using Social
+Multimedia
+Jianbo Yuan, Quanzeng You and Jiebo Luo"

+dcace6f0611b77177f4aff4bb650afab0a819575,3D Face Recognition,BMVC 2006 doi:10.5244/C.20.89

+dcd88a249b480d2e25326cdd11c5879fa31865cc,A Cross-Modal Distillation Network for Person Re-identification in RGB-Depth,"A Cross-Modal Distillation Network for Person
+Re-identification in RGB-Depth
+Frank Hafner
+, Amran Bhuiyan,
+, Julian F. P. Kooij
+, Eric Granger
+, Member, IEEE"

+dc550f361ae82ec6e1a0cf67edf6a0138163382e,Emotion Based Music Player,"ISSN XXXX XXXX © 2018 IJESC
+Research Article                                                                                                                           Volume 8 Issue No.3
+Vijay Chakole1, Aniket Choudhary2, Kalyani Trivedi3, Kshitija Bhoyar4, Ruchita Bodele5, Sayali Karmore6
+Emotion Based Music Player
+Professor1, UG Student2, 3, 4, 5, 6
+Department of Electronics Engineering
+K.D.K. College of Engineering Nagpur, India"

+dc6263270cd23a51d8fffdfd7e408250442b40f3,"SimpleElastix: A User-Friendly, Multi-lingual Library for Medical Image Registration","SimpleElastix: A user-friendly, multi-lingual library for medical image
+registration
+Kasper Marstal1, Floris Berendsen2, Marius Staring2 and Stefan Klein1
+Biomedical Imaging Group Rotterdam (BIGR), Department of Radiology & Medical Informatics,
+Erasmus Medical Center, PO Box 2040, Rotterdam, 3000 CA, the Netherlands,
+Division of Image Processing (LKEB), Department of Radiology, Leiden University Medical Center,
+PO Box 9600, 2300 RC Leiden, the Netherlands,"

+dc6c47d15ffc0fd59e51ed03556c3566afe5710b,Robust Object Recognition Through Symbiotic Deep Learning In Mobile Robots *,"CONFIDENTIAL. Limited circulation. For review only.
+Preprint submitted to 2018 IEEE/RSJ International Conference
+on Intelligent Robots and Systems. Received March 1, 2018."

+dcb44fc19c1949b1eda9abe998935d567498467d,Ordinal Zero-Shot Learning,"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)
+labelunseen labelFigure1:Supervisionintensityfordifferentlabels.Greenrepre-sentsseenlabelsandredrepresentsunseenlabels.Thegroundtruthlabelofthisinstanceis“Good”,soithasthestrongestsupervisionintensity.Although“Common”isanunseenlabel,itstillhascertainsupervisioninformationbecauseitiscloselyrelatedto“Good”.classifier;[ZhangandSaligrama,2016]learnsajointlatentspaceusingstructuredlearning.Thedifficultyinobtainingthesideinformationorusingothertechniquestoprocessthesideinformationarethemostseriousissuesformanyexistingzero-shotlearningmethods.Fortheattribute-basedmethods,humanexpertsareneededtolabelattributesandthisisverytime-consumingandnoteasytoobtainthediscriminativecategory-levelattributes.Somemethodsdiscoverattributesinteractively[ParikhandGrau-man,2011][Bransonetal.,2010],butthisalsorequiresla-borioushumanparticipation.Althoughmanyalgorithmscandiscoverattribute-relatedconceptsontheWeb[Rohrbachetal.,2010][Bergetal.,2010],theycanalsobebiasedorlackinformationthatiscriticaltoaparticulartask[ParikhandGrauman,2011].Forthetextcorpora-basedmethods,theyfirstrequirealargelanguagecorpora,suchasWikipedia,andthenneedtolearnwordrepresentation[Socheretal.,2013]orusestandardNaturalLanguageProcessing(NLP)techniquestoproduceclassdescriptions[Elhoseinyetal.,2013].Itishardtoguaranteethecorrectnessofsuchclassdescriptionsforzero-shotlearning.Conclusively,althoughsideinforma-tionishelpfulforzero-shotlearning,ithasmanydisadvan-tages.Generatingthesesideinformationisverytediousandsometimeswecannotknowwhichsideinformationistrulywanted.IfwedependonhumanlabororNLPtechniques,noisysideinformationwillbecomealmostinevitableandin-fluencethefinalperformance.Toavoidtheseproblems,itisimportanttosolvezero-shotlearninginwhateverpossiblecasesthathavesomepropertieswecanutilizetoavoidusingsideinformation."

+dcce157aa2e5db081b36fd16544a038becb408ab,Fast and Accurate Pedestrian Detection in a Truck's Blind Spot Camera,"Fast and Accurate Pedestrian Detection
+in a Truck’s Blind Spot Camera
+Kristof Van Beeck1,2(B) and Toon Goedem´e1,2
+EAVISE, KU Leuven - Campus De Nayer, J. De Nayerlaan 5, 2860
+ESAT/PSI - VISICS, KU Leuven, Kasteelpark Arenberg 10, 3001 Leuven, Belgium
+Sint-katelijne-waver, Belgium"

+dc452f3e531c4057c930f0538d5652ad9034d1aa,Quality metrics for practical face recognition,"1st International Conference on Pattern Recognition (ICPR 2012)
+November 11-15, 2012. Tsukuba, Japan
+978-4-9906441-0-9 ©2012 ICPR"

+dc7a4d5ba20ca07d29c360b26e1e72afae9a77be,The ApolloScape Open Dataset for Autonomous Driving and its Application,"The ApolloScape Open Dataset for Autonomous
+Driving and its Application
+Xinyu Huang*, Peng Wang*, Xinjing Cheng, Dingfu Zhou, Qichuan Geng, Ruigang Yang"

+dc6d518585c18504b2e69223c062cdd691c79bbd,Domain Adaptation Through Synthesis for Unsupervised Person Re-identification,

+dc771cd7780538953811a5b6ae0e901ca68cce3d,Multiple People Tracking Using Hierarchical Deep Tracklet Re-identification,"Multiple People Tracking Using Hierarchical Deep Tracklet Re-identification
+Maryam Babaee∗
+Ali Athar∗
+Gerhard Rigoll
+Institute for Human-Machine Communication, Technical University of Munich
+Arcisstrasse 21, Munich, Germany"

+dcba9cd587be2ed5437370e12e3591bdde86dc3c,Template for Regular Entry,"TEMPLATE FOR REGULAR ENTRY
+(ENCYCLOPEDIA OF DATABASE SYSTEMS)
+TITLE OF ENTRY
+Automatic Image Annotation
+BYLINE
+Nicolas Hervé and Nozha Boujemaa, INRIA Paris-Rocquencourt, IMEDIA project, France.
+http://www-rocq.inria.fr/imedia/
+SYNONYMS
+Multimedia Content Enrichment, Image Classification, Object Detection and Recognition,
+Auto-annotation
+DEFINITION
+The widespread search engines, in the professional as well as the personal context, used to work
+on the basis of textual information associated or extracted from indexed documents. Nowadays,
+most of the exchanged or stored documents have multimedia content. To reduce the technological
+gap so that these engines still can work on multimedia content, it is very convenient developing
+methods capable to generate automatically textual annotations and metadata.  These methods will
+then allow to enrich the  upcoming new content or to post-annotate the existing  content with
+dditional information extracted automatically if ever this existing content is partly or not annotated.
+A broad diversity in the typology of manual annotation is usually found in image databases. Part of
+them   is   representing   contextual   information.   The   author,   date,   place   or   technical   shooting"

+dc2e805d0038f9d1b3d1bc79192f1d90f6091ecb,Face Recognition and Facial Attribute Analysis from Unconstrained Visual Data,

+dc23beb1e5c7402b1a9d5a7c854e62a253d0815e,Microscopic crowd simulation : evaluation and development of algorithms. (Simulation microscopique de foules : évaluation et développement d'algorithmes),"Microscopic crowd simulation : evaluation and
+development of algorithms
+David Wolinski
+To cite this version:
+David Wolinski. Microscopic crowd simulation : evaluation and development of algorithms. Data
+Structures and Algorithms [cs.DS]. Université Rennes 1, 2016. English. <NNT : 2016REN1S036>.
+<tel-01420105>
+HAL Id: tel-01420105
+https://tel.archives-ouvertes.fr/tel-01420105
+Submitted on 20 Dec 2016
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+dcc064b8bf7744801ae7dfe4cbfd11b7e5a5b673,Men's physical strength moderates conceptualizations of prospective foes in two disparate societies.,"Hum Nat
+DOI 10.1007/s12110-014-9205-4
+Men’s Physical Strength Moderates Conceptualizations
+of Prospective Foes in Two Disparate Societies
+Daniel M. T. Fessler & Colin Holbrook &
+Matthew M. Gervais
+# Springer Science+Business Media New York 2014"

+dc041f307d467918ba684d3c425fb23016f3b28e,A Survey of 3D Face Recognition Methods,"A Survey of 3D Face Recognition Methods
+Alize Scheenstra1, Arnout Ruifrok2, and Remco C. Veltkamp1
+Utrecht University, Institute of Information and Computing Sciences,
+Padualaan 14, 3584 CH Utrecht, The Netherlands
+Netherlands Forensic Institute,
+Laan van Ypenburg 6, 2497 GB Den Haag, The Netherlands,"

+dc090aea412cef17c7a68ec84c34797806feab24,A mixture of gated experts optimized using simulated annealing for 3D face recognition,"978-1-4577-1302-6/11/$26.00 ©2011 IEEE
+D FACE RECOGNITION
+. INTRODUCTION"

+dc9f29118e38602c03bb2866f8b12ce478aad52c,Large scale evolution of convolutional neural networks using volunteer computing,"Large Scale Evolution of Convolutional Neural
+Networks Using Volunteer Computing
+Travis Desell∗
+March 17, 2017"

+dc22de0ed56958013234cf7128952390fb47345a,Towards dense object tracking in a 2D honeybee hive,"Towards dense object tracking in a 2D honeybee hive
+Katarzyna Bozek a, Laetitia Hebert a, Alexander S Mikheyev a & Greg J Stephens a,b∗
+Okinawa Institute of Science and Technology, 1919-1 Tancha Onna-son, Kunigami-gun, Okinawa 904-0495, Japan
+Department of Physics and Astronomy, VU University Amsterdam, 1081 HV Amsterdam, The Netherlands
+From human crowds to cells in tissue, the detection and ef‌f‌icient tracking of multiple objects
+in dense configurations is an important and unsolved problem. In the past, limitations of image
+nalysis have restricted studies of dense groups to tracking a single or subset of marked individ-
+uals, or to coarse-grained group-level dynamics, all of which yield incomplete information. Here,
+we combine convolutional neural networks (CNNs) with the model environment of a honeybee hive
+to automatically recognize all individuals in a dense group from raw image data. We create new,
+dapted individual labeling and use the segmentation architecture U-Net with a loss function depen-
+dent on both object identity and orientation. We additionally exploit temporal regularities of the
+video recording in a recurrent manner and achieve near human-level performance while reducing
+the network size by 94% compared to the original U-Net architecture. Given our novel applica-
+tion of CNNs, we generate extensive problem-specific image data in which labeled examples are
+produced through a custom interface with Amazon Mechanical Turk. This dataset contains over
+75,000 labeled bee instances across 720 video frames at 2 FPS, representing an extensive resource
+location error of ∼ 7% of a typical body dimension, and orientation error of 12◦, approximating the
+variability of human raters. Our results provide an important step towards ef‌f‌icient image-based
+dense object tracking by allowing for the accurate determination of object location and orientation"

+dca246cd06666a331b0203cb09a6ef51727bfdcc,The micro-foundations of email communication networks,"The Micro-Foundations of Email
+Communication Networks
+Ofer Engel
+London School of Economics and Political Science
+Department of Management
+Information Systems and Innovation Group
+Thesis submitted for the degree of
+PhilosophiæDoctor (PhD)
+013 June"

+dc974c31201b6da32f48ef81ae5a9042512705fe,Am I Done? Predicting Action Progress in Videos,"Am I done? Predicting Action Progress in Video
+Federico Becattini1, Tiberio Uricchio1, Lorenzo Seidenari1,
+Alberto Del Bimbo1, and Lamberto Ballan2
+Media Integration and Communication Center, Univ. of Florence, Italy
+Department of Mathematics “Tullio Levi-Civita”, Univ. of Padova, Italy"

+b66418ecc37ea0c79da5425e9ceac939ca9075ae,Efficient Gait-based Gender Classification through Feature Selection,"EFFICIENT GAIT-BASED GENDER CLASSIFICATION
+THROUGH FEATURE SELECTION∗
+Ra´ul Mart´ın-F´elez, Javier Ortells, Ram´on A. Mollineda and J. Salvador S´anchez
+Institute of New Imaging Technologies and Dept. Llenguatges i Sistemes Inform`atics
+Universitat Jaume I. Av. Sos Baynat s/n, 12071, Castell´o de la Plana, Spain
+{martinr, jortells, mollined,
+Keywords:
+Gender classification, Gait, ANOVA, Feature selection."

+b6ecc8d34ebc8895378abe2b8f35e3a0691f5d26,Annotation Methodologies for Vision and Language Dataset Creation,"Annotation Methodologies for Vision and Language Dataset Creation
+Gitit Kehat
+Computer Science Department
+Brandeis University
+Waltham, MA. 02453 USA
+James Pustejovsky
+Computer Science Department
+Brandeis University
+Waltham, MA. 02453 USA"

+b691463de5e30e7efd18b9d02cbf83c805834fe7,Evaluation of Penalty Functions for Semi-global Matching Cost Aggregation,"EVALUATION OF PENALTY FUNCTIONS FOR SEMI-GLOBAL MATCHING
+COST AGGREGATION
+Christian Banz, Peter Pirsch, and Holger Blume
+Institute of Microelectronic Systems
+Leibniz Universität Hannover, Hannover, Germany
+KEY WORDS: Stereoscopic, Quality, Matching, Vision, Reconstruction, Camera, Disparity Estimation, Semi-Global Matching"

+b6b1b0632eb9d4ab1427278f5e5c46f97753c73d,Generalização cartográfica automatizada para um banco de dados cadastral,"UNIVERSIDADE FEDERAL DE SANTA CATARINA -UFSC
+DEPARTAMENTO DE ENGENHARIA CIVIL
+PROGRAMA DE PÓS-GRADUAÇÃO EM
+ENGENHARIA CIVIL - PPGEC
+AREA DE CONCENTRAÇÃO: CADASTRO TÉCNICO E
+GESTÃO TERRITORIAL
+GENERALIZAÇÃO CARTOGRÁFICA AUTOMATIZADA
+PARA UM BANCO DE DADOS CADASTRAL
+Tese  submetida  à  Universidade  Federal  de
+Santa  Catarina  como  requisito  exigido  pelo
+Programa  de  Pós-Graduação  em  Engenharia
+Civil  -  PPGEC,  para  a  obtenção  do  Título  de
+DOUTOR em Engenharia Civil.
+Mariane Alves Dal Santo
+Orientador: Prof. Dr. Carlos Loch
+Florianópolis, dezembro de 2007"

+b63411ed70ba315b87a716e1809faea48e70a982,"A Survey on Object Detect , Track and Identify Using Video Surveillance","IOSR Journal of Engineering (IOSRJEN)
+e-ISSN: 2250-3021, p-ISSN: 2278-8719, www.iosrjen.org
+Volume 2, Issue 10 (October 2012), PP 71-76
+A  Survey on Object Detect, Track and Identify Using Video
+Surveillance
+Chandrashekhar D.Badgujar1, Dipali P.Sapkal2
+1,2(Computer Science and Engineering G.H.R.E.M, Jalgoan)"

+b651814360e3899cd9206bfd23621aca6551e69c,Improving Feature Level Likelihoods using Cloud Features,"IMPROVING FEATURE LEVEL LIKELIHOODS USING CLOUD
+FEATURES
+Heydar Maboudi Afkham1, Stefan Carlsson1, Josephine Sullivan1
+Computer Vision and Active Perception Lab., KTH, Stockholm, Sweden
+Keywords:
+Feature inference, Latent models, Clustering"

+b69badabc3fddc9710faa44c530473397303b0b9,Unsupervised Image-to-Image Translation Networks,"Unsupervised Image-to-Image Translation Networks
+Ming-Yu Liu, Thomas Breuel,
+Jan Kautz
+NVIDIA"

+b6fd905efd5da32bd32047896074a821477cb564,An Human Perceptive Model for Person Re-identification,"An Human Perceptive Model for Person Re-identification
+Angelo Cardellicchio1, Tiziana D’Orazio1, Tiziano Politi2 and Vito Ren`o1
+National Research Council, Institute of Intelligent Systems for Automation, Bari, Italia
+Politecnico di Bari, Bari, Italia
+Keywords:
+Color Analysis, Feature Extraction, Histograms."

+b62486261104d5136aea782ee8596425b5f228da,Modelling perceptions of criminality and remorse from faces using a data-driven computational approach.,"Cognition and Emotion
+ISSN: 0269-9931 (Print) 1464-0600 (Online) Journal homepage: http://www.tandfonline.com/loi/pcem20
+Modelling perceptions of criminality and remorse
+from faces using a data-driven computational
+pproach
+Friederike Funk, Mirella Walker & Alexander Todorov
+To cite this article: Friederike Funk, Mirella Walker & Alexander Todorov (2017) Modelling
+perceptions of criminality and remorse from faces using a data-driven computational approach,
+Cognition and Emotion, 31:7, 1431-1443, DOI: 10.1080/02699931.2016.1227305
+To link to this article:  http://dx.doi.org/10.1080/02699931.2016.1227305
+View supplementary material
+Published online: 07 Sep 2016.
+Submit your article to this journal
+Article views: 235
+View related articles
+View Crossmark data
+Citing articles: 1 View citing articles
+Full Terms & Conditions of access and use can be found at
+http://www.tandfonline.com/action/journalInformation?journalCode=pcem20
+Download by: [Princeton University]"

+b63041d05b78a66724fbcb2803508999bf885d6b,Deep Sets,"Deep Sets
+Manzil Zaheer 1 2 Satwik Kottur 2 Siamak Ravanbhakhsh 2 Barnabas Poczos 2 Ruslan Ssalakhutdinov 2
+Alexander Smola 1 2"

+b61b4eb2e28b9cf35578498e1bbcc35ec0a07651,Backtracking ScSPM Image Classifier for Weakly Supervised Top-Down Saliency,"Backtracking ScSPM Image Classifier for Weakly Supervised Top-down Saliency
+Hisham Cholakkal
+Jubin Johnson
+Deepu Rajan
+Multimedia Lab, School of Computer Science and Engineering
+Nanyang Technological University Singapore
+{hisham002, jubin001,"

+b6aa94b81b2165e492cc2900e05dd997619bfe7a,Automatic temporal segment detection via bilateral long short-term memory recurrent neural networks,"Automatic temporal segment
+detection via bilateral long short-
+term memory recurrent neural
+networks
+Bo Sun
+Siming Cao
+Jun He
+Lejun Yu
+Liandong Li
+Bo Sun, Siming Cao, Jun He, Lejun Yu, Liandong Li, “Automatic temporal segment
+detection via bilateral long short-term memory recurrent neural networks,” J.
+Electron. Imaging 26(2), 020501 (2017), doi: 10.1117/1.JEI.26.2.020501.
+Downloaded From: http://electronicimaging.spiedigitallibrary.org/ on 03/03/2017 Terms of Use: http://spiedigitallibrary.org/ss/termsofuse.aspx"

+b632d47eb7421a3d622b0f1ceb009e4415ccc84d,Deep Perceptual Mapping for Cross-Modal Face Recognition,"(will be inserted by the editor)
+Deep Perceptual Mapping for Cross-Modal Face
+Recognition
+M. Saquib Sarfraz · Rainer Stiefelhagen
+the date of receipt and acceptance should be inserted later"

+b6ef46621d8660eb53836202fa58f04fa20adfd7,Disgust and Anger Relate to Different Aggressive Responses to Moral Violations,"692000 PSSXXX10.1177/0956797617692000Molho et al.Moral Emotions and Aggressive Tactics
+research-article2017
+Research Article
+Disgust and Anger Relate to Different
+Aggressive Responses to Moral Violations
+Catherine Molho1, Joshua M. Tybur1, Ezgi Güler2,
+Daniel Balliet1, and Wilhelm Hofmann3
+Department of Experimental and Applied Psychology, Vrije Universiteit Amsterdam;
+Department of Political and Social Sciences, European University Institute; and 3Social Cognition
+Center Cologne, University of Cologne
+Psychological Science
+017, Vol. 28(5) 609 –619
+© The Author(s) 2017
+Reprints and permissions:
+sagepub.com/journalsPermissions.nav
+DOI: 10.1177/0956797617692000
+https://doi.org/10.1177/0956797617692000
+www.psychologicalscience.org/PS"

+b69f7660985be23abda72990cb1f367778960275,Object Recognition based on Principal Component Analysis to Image Patches,"International Journal of Scientific & Engineering Research, Volume 4, Issue 6, June-2013                                                                    1096
+ISSN 2229-5518
+Object Recognition based on Principal
+Component Analysis to Image Patches
+R.Ahilapriyadharsini
+Mepco Schlenk Engineering
+College,
+Sivakasi, India
+S.Arivazhagan
+M.Gowthami
+Mepco Schlenk Engineering
+Renganayagi Varatharaj College of
+College,
+Sivakasi, India
+Engineering, Salvarpatti,
+Sivakasi, India."

+b613b30a7cbe76700855479a8d25164fa7b6b9f1,Identifying User-Specific Facial Affects from Spontaneous Expressions with Minimal Annotation,"Identifying User-Specific Facial Affects from
+Spontaneous Expressions with Minimal Annotation
+Michael Xuelin Huang, Grace Ngai, Kien A. Hua, Fellow, IEEE, Stephen C.F. Chan, Member, IEEE
+nd Hong Va Leong, Member, IEEE Computer Society"

+b640c36acc0e748553f78280fce7a840965c5cec,Text Detection from Natural Image using MSER and BOW,"International Journal of Emerging Engineering Research and Technology
+Volume 3, Issue 11, November 2015, PP 152-156
+ISSN 2349-4395 (Print) & ISSN 2349-4409 (Online)
+Text Detection from Natural Image using MSER and BOW
+K.Sowndarya Lahari, 2M.Haritha, 3P.Prasanna Murali Krishna
+(M.Tech), DECS, DR.Sgit, Markapur, India.
+Associate Professor, Department of ECE, DR.Sgit, Markapur, India.
+.3H.O.D Department of ECE, DR.Sgit, Markapur, India."

+b66a93884f80a243f50da97e33211693a317dc45,Deep Learning for Generic Object Detection: A Survey,"Deep Learning for Generic Object Detection: A Survey
+Li Liu 1,2 · Wanli Ouyang 3 · Xiaogang Wang 4 ·
+Paul Fieguth 5 · Jie Chen 2 · Xinwang Liu 1 · Matti Pietik¨ainen 2
+Received: 12 September 2018"

+b6f682648418422e992e3ef78a6965773550d36b,"CBMM Memo No . 061 February 8 , 2017 Full interpretation of minimal images","February 8, 2017"

+b610e52b0a8fa11af3d01944c0383f015cade9c0,Multimodal 2 D - 3 D Face Recognition,"International Journal of Future Computer and Communication, Vol. 2, No. 6, December 2013
+Multimodal 2D-3D Face Recognition
+Gawed M. Nagi, Rahmita Rahmat, Muhamad Taufik, and Fatimah Khalid
+technology"

+b67e2ccd0f05df5358464b9b38da3bcb9feda1ab,FaceID@home: cycle-sharing for facial recognition,"ycle-sharing for facial recognition
+FaceID-BOINC: adapta¸c˜ao de algoritmos de reconhecimento facial (eigenfaces) para execu¸c˜ao
+em m´aquinas multicore e GPUs integrado num cliente para plataforma BOINC
+Nuno Miguel Abreu Teixeira - 55397
+Instituto Superior T´ecnico"

+b64cc1f0772e9620ecf916019de85b7adb357b7a,Fast Face-Swap Using Convolutional Neural Networks,"Fast Face-swap Using Convolutional Neural Networks
+Iryna Korshunova1,2
+Wenzhe Shi1
+{iryna.korshunova,
+Twitter
+Joni Dambre2
+Lucas Theis1
+IDLab, Ghent University
+{wshi,"

+b6aaaf6290ba0ca13be61d122907617f1ea86315,Embedded Face Recognition Using Cascaded Structures PROEFSCHRIFT,"Embedded Face Recognition
+Using Cascaded Structures
+PROEFSCHRIFT
+ter verkrijging van de graad van doctor aan de
+Technische Universiteit Eindhoven, op gezag van de
+Rector Magnificus, prof.dr.ir. C.J. van Duijn, voor een
+ommissie aangewezen door het College voor
+Promoties in het openbaar te verdedigen op
+dinsdag 3 oktober 2006 om 16.00 uur
+Fei Zuo
+geboren te Xi’an, China"

+b6dc1cd3cabdfea7363d41773a315a0d241dc836,Local Context Priors for Object Proposal Generation,"Local Context Priors for Object Proposal
+Generation
+Marko Ristin1, Juergen Gall2, and Luc Van Gool1,3
+ETH Zurich
+MPI for Intelligent Systems
+KU Leuven"

+b648d73edd1a533decd22eec2e7722b96746ceae,weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming,"weedNet: Dense Semantic Weed Classification Using Multispectral
+Images and MAV for Smart Farming
+Inkyu Sa1, Zetao Chen2, Marija Popovi´c1, Raghav Khanna1, Frank Liebisch3, Juan Nieto1, Roland Siegwart1"

+b67e0ae9d64ec06b3e1c25c7f7e8b86020612d33,Vocabulary-informed Visual Feature Augmen-,"Under review as a conference paper at ICLR 2018
+VOCABULARY-INFORMED VISUAL FEATURE AUGMEN-
+TATION FOR ONE-SHOT LEARNING"

+a93ecf7b9780989c709714dde0f93f4d81eea640,Unconstrained Face Recognition Using SVM Across Blurred And Illuminated Images With Pose Variation,"International Journal of Innovative Research in Computer and Communication Engineering
+(An ISO 3297: 2007 Certified Organization)
+Vol.2, Special Issue 1, March 2014
+Proceedings of International Conference On Global Innovations In Computing Technology (ICGICT’14)
+Department of CSE, JayShriram Group of Institutions, Tirupur, Tamilnadu, India on 6th & 7th March 2014
+Organized by
+Unconstrained Face Recognition Using SVM
+Across Blurred And Illuminated Images With Pose
+Variation
+Nadeena M1, S.Sangeetha, M.E, 2
+ISSN(Online): 2320-9801
+ISSN (Print):  2320-9798
+II M.E CSE, Dhanalakshmi Srinivasan College of Engineering, Coimbatore, India1
+Assistant Professor, Dhanalakshmi Srinivasan College of Engineering, Coimbatore, India 2"

+a9d3547ab16a9cc936bf5991bf8fb475eadce931,Face Recognition using DWT with HMM,"Eng. & Tech. Journal, Vol.30, No.1, 2012
+Face Recognition using DWT with HMM
+Dr. Eyad I. Abbas
+Department of Electrical Engineering, University of Technology/ Baghdad
+Hameed R. Farhan
+Department of Electrical Engineering, Engineering College, University of Kerbala/ Kerbala
+Received on: 19/6/2011 & Accepted on: 3/11/2011"

+a9e28863c7fb963b40a379c5a4e0da00eb031933,A Corpus of Natural Language for Visual Reasoning,"Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Short Papers), pages 217–223
+Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Short Papers), pages 217–223
+Vancouver, Canada, July 30 - August 4, 2017. c(cid:13)2017 Association for Computational Linguistics
+Vancouver, Canada, July 30 - August 4, 2017. c(cid:13)2017 Association for Computational Linguistics
+https://doi.org/10.18653/v1/P17-2034
+https://doi.org/10.18653/v1/P17-2034"

+a91caf771905ddff8cb271f04e7ede1a8b6d529b,Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training,"Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via
+Adversarial Training
+Department of Biomedical Engineering
+Department of Computer Science
+Faisal Mahmood1 Richard Chen2 Nicholas J. Durr1
+Johns Hopkins University (JHU)
+{faisalm, rchen40,"

+a9791544baa14520379d47afd02e2e7353df87e5,The Need for Careful Data Collection for Pattern Recognition in Digital Pathology,"Technical Note
+The Need for Careful Data Collection for Pattern Recognition in
+Digital Pathology
+Raphaël Marée1
+Department of Electrical Engineering and Computer Science, Montefiore Institute, University of Liège, 4000 Liège, Belgium
+Received: 08 December 2016
+Accepted: 15 March 2017
+Published: 10 April 2017"

+a9d6d62f4f3f12ed565e5d75f8c4b7a202a3d809,Action and intention recognition of pedestrians in urban traffic,"Action and intention recognition of pedestrians in urban traffic
+Dimitrios Varytimidis1, Fernando Alonso-Fernandez1, Boris Duran2 and Cristofer Englund1,2∗"

+a97f3d2313affd35c889c57f2ebe21e7ba2b5bbb,Real-Time Semantic Mapping for Autonomous Off-Road Navigation,"Real-time Semantic Mapping for Autonomous
+Off-Road Navigation
+Daniel Maturana, Po-Wei Chou, Masashi Uenoyama and Sebastian Scherer"

+a9eb6e436cfcbded5a9f4b82f6b914c7f390adbd,A Model for Facial Emotion Inference Based on Planar Dynamic Emotional Surfaces,"(IJARAI) International Journal of Advanced Research in Artificial Intelligence,
+Vol. 5, No.6, 2016
+A Model for Facial Emotion Inference Based on
+Planar Dynamic Emotional Surfaces
+Ruivo,  J.  P.  P.
+Escola  Polit´ecnica
+Negreiros,  T.
+Escola  Polit´ecnica
+Barretto,  M.  R.  P.
+Escola  Polit´ecnica
+Tinen,  B.
+Escola  Polit´ecnica
+Universidade de S˜ao Paulo
+Universidade de S˜ao Paulo
+Universidade de S˜ao Paulo
+Universidade de S˜ao Paulo
+S˜ao Paulo, Brazil
+S˜ao Paulo, Brazil
+S˜ao Paulo, Brazil
+S˜ao Paulo, Brazil"

+a9ebeca46445b8af728118b05e56d95d4985000c,Restricted Isometry Property of Subspace Projection Matrix Under Random Compression,"Restricted Isometry Property of Subspace Projection
+Matrix Under Random Compression
+Xinyue Shen, Student Member, IEEE, and Yuantao Gu, Member, IEEE"

+a91fd02ed2231ead51078e3e1f055d8be7828d02,The Robust Manifold Defense: Adversarial Training using Generative Models,"The Robust Manifold Defense:
+Adversarial Training using Generative Models
+Andrew Ilyas
+Ajil Jalal
+Eirini Asteri
+MIT EECS
+UT Austin
+UT Austin
+Constantinos Daskalakis
+Alexandros G. Dimakis
+MIT EECS
+UT Austin
+December 27, 2017
+Problems worthy of attack,
+prove their worth by fighting back."

+a9ad8f6c6bf110485921b17f9790241b1548487c,Automatic Skin Tone Extraction for Visagism Applications,

+a955033ca6716bf9957b362b77092592461664b4,Video Based Face Recognition Using Artificial Neural Network,"ISSN(Online): 2320-9801
+ISSN (Print):  2320-9798
+International Journal of Innovative Research in Computer
+nd Communication Engineering
+(An ISO 3297: 2007 Certified Organization)
+Video Based Face Recognition Using Artificial
+Vol. 3, Issue 6, June 2015
+Neural Network
+Santhy Mol T, Neethu Susan Jacob
+Pursuing M.Tech, Dept. of CSE, Caarmel Engineering College, MG University, Kerala, India
+Assistant Professor, Dept of CSE, Caarmel Engineering College, MG University, Kerala, India"

+a956ff50ca958a3619b476d16525c6c3d17ca264,A novel bidirectional neural network for face recognition,"A Novel Bidirectional Neural Network for Face Recognition
+JalilMazloum, Ali Jalali and Javad Amiryan
+Electrical and Computer Engineering Department
+ShahidBeheshti University
+Tehran, Iran"

+a90226c41b79f8b06007609f39f82757073641e2,Β-vae: Learning Basic Visual Concepts with a Constrained Variational Framework,"Under review as a conference paper at ICLR 2017
+β-VAE: LEARNING BASIC VISUAL CONCEPTS WITH A
+CONSTRAINED VARIATIONAL FRAMEWORK
+Irina Higgins, Loic Matthey, Arka Pal, Christopher Burgess, Xavier Glorot,
+Matthew Botvinick, Shakir Mohamed, Alexander Lerchner
+Google DeepMind
+{irinah,lmatthey,arkap,cpburgess,glorotx,"

+a98316980b126f90514f33214dde51813693fe0d,Collaborations on YouTube: From Unsupervised Detection to the Impact on Video and Channel Popularity,"Collaborations on YouTube: From Unsupervised Detection to the
+Impact on Video and Channel Popularity
+Christian Koch, Moritz Lode, Denny Stohr, Amr Rizk, Ralf Steinmetz
+Multimedia Communications Lab (KOM), Technische Universität Darmstadt, Germany
+E-Mail: {Christian.Koch | Denny.Stohr | Amr.Rizk |"

+a93781e6db8c03668f277676d901905ef44ae49f,Recent Data Sets on Object Manipulation: A Survey.,"Recent Datasets on Object Manipulation: A Survey
+Yongqiang Huang, Matteo Bianchi, Minas Liarokapis and Yu Sun"

+a969efee78149357ec109c1de2238a0cc670858a,Automatic 2.5-D Facial Landmarking and Emotion Annotation for Social Interaction Assistance,"Automatic 2.5-D Facial Landmarking and Emotion
+Annotation for Social Interaction Assistance
+Xi Zhao, Member, IEEE, Jianhua Zou, Member, IEEE, Huibin Li, Student Member, IEEE,
+Emmanuel Dellandréa, Member, IEEE, Ioannis A. Kakadiaris, Senior Member, IEEE,
+nd Liming Chen, Senior Member, IEEE"

+a99cf14afb556187233f772fa9bf561d7cf0c088,A Survey on Sclera Vein Recognition Techniques,"INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN COMPUTER SCIENCE AND APPLICATIONS
+ISSN 2321-872X ONLINE ISSN 2321-8932 PRINT
+VOLUME  2, ISSUE 12, DECEMBER 2014.
+A SURVEY ON SCLERA VEIN RECOGNITION TECHNIQUES
+Dr.S.BABU 1        S.SUBA 2
+Associate Professor / CSE, IFET College of Engineering, Viluppuram, Tamilnadu, India
+PG Scholar, IFET College of Engineering, Viluppuram, Tamilnadu, India"

+a9d2c96cead937e53e614abb9fd051574a55c77a,Ensembling Visual Explanations for,"In Proceedings of the NIPS 2017 workshop on Visually-Grounded Interaction and
+Language (ViGIL), December 2017."

+a94c3091be2090df6144bd121e41e7dfa96ec0e9,Enhanced visual functioning in autism: an ALE meta-analysis.,"Enhanced Visual Functioning in Autism:
+An ALE Meta-Analysis
+Fabienne Samson,1 Laurent Mottron,1 Isabelle Soulie` res,1,2
+nd Thomas A. Zeffiro2
+Centre d’Excellence en Troubles Envahissants du De´veloppement de l’Universite´ de Montre´al
+Neural Systems Group, Massachusetts General Hospital, Boston, Massachusetts
+(CETEDUM), Montre´al, QC, Canada"

+a9adb6dcccab2d45828e11a6f152530ba8066de6,Aydınlanma Alt-uzaylarına dayalı Gürbüz Yüz Tanıma Illumination Subspaces based Robust Face Recognition,"Aydınlanma Alt-uzaylarına dayalı Gürbüz Yüz Tanıma
+Illumination Subspaces based Robust Face Recognition
+D. Kern, H.K. Ekenel, R. Stiefelhagen
+Interactive Systems Labs, Universität Karlsruhe (TH)
+76131 Karlsruhe, Almanya
+web: http://isl.ira.uka.de/face_recognition
+Özetçe
+yönlerine
+ydınlanma
+kaynaklanan
+sonra,  yüz  uzayı
+Bu çalışmada aydınlanma alt-uzaylarına dayalı bir yüz tanıma
+sistemi  sunulmuştur.  Bu  sistemde,
+ilk  olarak,  baskın
+ydınlanma yönleri, bir topaklandırma algoritması kullanılarak
+öğrenilmiştir.  Topaklandırma  algoritması  sonucu  önden,  sağ
+ve  sol  yanlardan  olmak  üzere  üç  baskın  aydınlanma  yönü
+gözlemlenmiştir.  Baskın
+karar
+-yüzün  görünümündeki"

+a95dc0c4a9d882a903ce8c70e80399f38d2dcc89,Review and Implementation of High-Dimensional Local Binary Patterns and Its Application to Face Recognition,"TR-IIS-14-003
+Review and Implementation of
+High-Dimensional Local Binary
+Patterns and Its Application to
+Face Recognition
+Bor-Chun Chen, Chu-Song Chen, Winston Hsu
+July. 24,    2014    ||    Technical Report No. TR-IIS-14-003
+http://www.iis.sinica.edu.tw/page/library/TechReport/tr2014/tr14.html"

+a9286519e12675302b1d7d2fe0ca3cc4dc7d17f6,Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems,"Learning to Succeed while Teaching to Fail:
+Privacy in Closed Machine Learning Systems
+Jure Sokoli´c, Qiang Qiu, Miguel R. D. Rodrigues, and Guillermo Sapiro"

+a949b8700ca6ba96ee40f75dfee1410c5bbdb3db,Instance-Weighted Transfer Learning of Active Appearance Models,"Instance-weighted Transfer Learning of Active Appearance Models
+Daniel Haase, Erik Rodner, and Joachim Denzler
+Computer Vision Group, Friedrich Schiller University of Jena, Germany
+Ernst-Abbe-Platz 2-4, 07743 Jena, Germany"

+a94aac3caccebd82413dd05707ef8bf525dc46b9,Evaluation of the UR3D algorithm using the FRGC v2 data set,"Evaluation of the UR3D algorithm using the FRGC v2 data set
+G. Passalis, I.A. Kakadiaris, T. Theoharis, G. Toderici and N. Murtuza
+Visual Computing Lab, Dept. of Computer Science, Univ. of Houston, Houston, TX 77204, USA"

+a92b5234b8b73e06709dd48ec5f0ec357c1aabed,Disjoint Multi-task Learning Between Heterogeneous Human-Centric Tasks,

+a9453721f35f364e176a5aaa7bdb622f72fbcaec,Learning Articulated Motion Models from Visual and Lingual Signals,"Learning Articulated Motion Models from Visual and Lingual Signals
+Zhengyang Wu
+Georgia Tech
+Atlanta, GA 30332
+Mohit Bansal
+TTI-Chicago
+Chicago, IL 60637
+Matthew R. Walter
+TTI-Chicago
+Chicago, IL 60637"

+a94b832facb57ea37b18927b13d2dd4c5fa3a9ea,Domain transfer convolutional attribute embedding,"April 3, 2018
+Journal of Experimental & Theoretical Artificial Intelligence
+To appear in the Journal of Experimental & Theoretical Artificial Intelligence
+Vol. 00, No. 00, Month 20XX, 1–23
+Domain transfer convolutional attribute embedding
+Fang Sua ∗ , Jing-Yan Wangb
+School of Economics and Management, Shaanxi University of Science & Technology, Xi’an,
+New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
+ShaanXi Province, P.R.C, 710021
+(v5.0 released July 2015)
+In this paper, we study the problem of transfer learning with the attribute data. In the trans-
+fer learning problem, we want to leverage the data of the auxiliary and the target domains
+to build an effective model for the classification problem in the target domain. Meanwhile,
+the attributes are naturally stable cross different domains. This strongly motives us to learn
+effective domain transfer attribute representations. To this end, we proposed to embed the
+ttributes of the data to a common space by using the powerful convolutional neural net-
+work (CNN) model. The convolutional representations of the data points are mapped to the
+orresponding attributes so that they can be effective embedding of the attributes. We also
+represent the data of different domains by a domain-independent CNN, ant a domain-specific
+CNN, and combine their outputs with the attribute embedding to build the classification"

+a9f5acdcf1fbc9563aaad943cbe1c195b796aa62,Learning Fashion By Simulated Human Supervision,"Learning Fashion By Simulated Human Supervision
+Eli Alshan Sharon Alpert Assaf Neuberger Nathaniel Bubis Eduard Oks
+{alshan, alperts, neuberg, bubis,
+Amazon Lab126"

+a91d0ebc1255d6de1c4588767b3b5e1fc630e56f,eTRIMS Scene Interpretation Datasets,"Universit¨at Hamburg
+Technical Report FBI-HH-M-345/10
+eTRIMS Scene Interpretation
+Datasets
+Johannes Hartz
+Patrick Koopmann
+Arne Kreutzmann
+Kasim Terzi´c
+{hartz | koopmann |
+informatik.uni-hamburg.de
+November 15, 2010"

+a9978df0b4df4d7b04bc4e9464c67f9ff7c31d3d,From Traditional to Interactive Playspaces,"FROM TRADITIONAL TO
+FROM TRADITIONAL TO
+INTERACTIVE PLAYSPACES
+INTERACTIVE PLAYSPACES
+Automatic Analysis of Player Behavior in the
+Interactive Tag Playground
+CTIT Ph.D. Thesis Series No. 16-386
+ISSN: 1381-3617
+Alejandro Moreno"

+a9e53a7533c9c743b57b6668c11be0c73525f188,Enhanced Feature Sets for Face Recognition with varying Lighting Conditions and Noise,"Enhanced Feature Sets for Face Recognition with varying Lighting Conditions and Noise  ISSN  2278 – 3806
+Enhanced Feature Sets for Face Recognition with
+varying Lighting Conditions and Noise
+Final ME (CSE), 2Head of Department of Computer Science and Engineering
+S.Vishnupriya1  Dr.k.Lakshmi2
+Periyar Maniammai University, Thanjavur, Tamilnadu, India."

+a975f1aea5dbb748955da0e17eef8d2270a49f25,Object Recognition,"OBJECT RECOGNITION
+Object recognition is a subproblem of the more general
+problem of perception, and can be defined as follows. Given
+scene consisting of one or more objects, can we identify
+nd localize those objects that are sufficiently visible to
+the sensory system? It is generally assumed that a de-
+scription of each object to be recognized is available to the
+omputer and can be used to facilitate the task of iden-
+tification and localization. These descriptions can either
+e model-based or appearance-based, or a combination of
+oth. Model-based object representation is based on geo-
+metric features, whereas appearance-based representation
+uses a large set of images for training but does not require
+ny insight into the geometric structure of the objects. Ob-
+ject recognition is a key component of many intelligent vi-
+sion systems, such as those used in hand-eye coordination
+for bin picking, inspection, and mobile robotics.
+Various types of object recognition problems can be
+stated based on the dimensionality of their spatial descrip-
+tion: (1) recognition of a 2-D object from a single 2-D im-"

+a9c120de41679fe336e2779f3e6fe4b04945cb3a,A Robust Multilinear Model Learning Framework for 3D Faces,"A Robust Multilinear Model Learning Framework for 3D Faces∗
+Timo Bolkart
+Stefanie Wuhrer
+Saarland University, Germany
+Inria Grenoble Rhˆone-Alpes, France"

+a9f63dcae167630b0c6ba4131897539151217e2b,Testing a Method for Statistical Image Classification in Image Retrieval,"Testing a Method for Statistical Image
+Classification in Image Retrieval
+Christoph Rasche, Constantin Vertan
+Laboratorul de Analiza si Prelucrarea Imaginilor
+Universitatea Politehnica din Bucuresti
+Bucuresti 061071, RO"

+a9f03e4bb90addab234423994bfd8c25854484ea,Object Based Image Retrieval Using Lbp and Fuzzy Clustering Method,"Volume1, Issue 3, 15 May- 15 August 2015
+International Journal In Applied Studies And
+Production Management
+ISSN 2394-840X
+OBJECT BASED IMAGE RETRIEVAL USING LBP AND FUZZY
+CLUSTERING METHOD
+Jiwanjot kaur Bhinder
+Department of Computer Science & Engg, RIMT(IET) Mandigobindgarh
+Kirti joshi
+Department of Computer Science & Engg, RIMT(IET) Mandigobindgarh"

+d55cce6ecbad2c6ecccbaa1cb0d14ae3a46b1454,Multimodal representation learning with neural networks,"Multimodal representation learning with
+neural networks
+John Edilson Arevalo Ovalle
+National University of Colombia
+Engineering School, Systems and Industrial Engineering Departament
+Bogot´a, Colombia"

+d5813a4a0cca115b05e03d8d8c1ac8bf07176e96,Supplementary Material: Reinforced Video Captioning with Entailment Rewards,"Supplementary Material: Reinforced Video Captioning with Entailment
+Rewards
+Ramakanth Pasunuru and Mohit Bansal
+UNC Chapel Hill
+{ram,
+Attention-based Baseline Model
+(Cross-Entropy)
+Reinforcement Learning (Policy
+Gradient)
+Our attention baseline model is similar to the Bah-
+danau et al. (2015) architecture, where we encode
+input frame level video features to a bi-directional
+LSTM-RNN and then generate the caption using a
+single layer LSTM-RNN, with an attention mech-
+nism. Let {f1, f2, ..., fn} be the frame-level fea-
+tures of a video clip and {w1, w2, ..., wm} be the
+sequence of words forming a caption. The distri-
+ution of words at time step t given the previously
+generated words and input video frame-level fea-
+tures is given as follows:"

+d50c6d22449cc9170ab868b42f8c72f8d31f9b6c,Dynamic Multi-Task Learning with Convolutional Neural Network,Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)

+d5bef023a7d1032a5c717109a9c1b600ee1e8a71,Autism Spectrum Disorder (ASD) and Fragile X Syndrome (FXS): Two Overlapping Disorders Reviewed through Electroencephalography—What Can be Interpreted from the Available Information?,"Brain Sci. 2015, 5, 92-117; doi:10.3390/brainsci5020092
+OPEN ACCESS
+rain sciences
+ISSN 2076-3425
+www.mdpi.com/journal/brainsci/
+Review
+Autism Spectrum Disorder (ASD) and Fragile X Syndrome
+(FXS): Two Overlapping Disorders Reviewed through
+Electroencephalography—What Can be Interpreted
+from the Available Information?
+Niamh Mc Devitt 1,2,*, Louise Gallagher 1,3,4,5,6 and Richard B. Reilly 1,2,3,7
+School of Medicine, Trinity College, the University of Dublin, Dublin, Ireland;
+E-Mails: (L.G.); (R.B.R.)
+Trinity Centre for Bioengineering, Trinity College Dublin, the University of Dublin, Dublin, Ireland
+Trinity College Institute for Neuroscience, Trinity College Dublin, the University of Dublin,
+Dublin, Ireland
+Department of Psychiatry, Trinity College Dublin, the University of Dublin, Dublin, Ireland
+5  Institute of Molecular Medicine, Trinity Centre for Health Sciences, St James’ Hospital,
+Dublin, Ireland
+6  Linn Dara Child and Adolescent Mental Health Services, Cherry Orchard Hospital Dublin 10,"

+d522c162bd03e935b1417f2e564d1357e98826d2,Weakly supervised object extraction with iterative contour prior for remote sensing images,"He et al. EURASIP Journal on Advances in Signal Processing 2013, 2013:19
+http://asp.eurasipjournals.com/content/2013/1/19
+RESEARCH
+Open Access
+Weakly supervised object extraction with
+iterative contour prior for remote sensing
+images
+Chu He1,2*, Yu Zhang1, Bo Shi1, Xin Su3, Xin Xu1 and Mingsheng Liao2"

+d5d3c1b299e81b4ab96d052f8a37013305b731d9,Performance Evaluation of Human Detection Systems for Robot Safety,"J Intell Robot Syst
+DOI 10.1007/s10846-016-0334-3
+Performance Evaluation of Human Detection Systems
+for Robot Safety
+William Shackleford · Geraldine Cheok ·
+Tsai Hong · Kamel Saidi · Michael Shneier
+Received: 9 April 2015 / Accepted: 11 January 2016
+© Springer Science+Business Media Dordrecht (outside the USA) 2016"

+d59f18fcb07648381aa5232842eabba1db52383e,Robust Facial Expression Recognition Using Spatially Localized Geometric Model,"International Conference on Systemics, Cybernetics and Informatics, February 12–15, 2004
+ROBUST FACIAL EXPRESSION RECOGNITION USING SPATIALLY
+LOCALIZED GEOMETRIC MODEL
+Department of Electrical Engineering
+Dept. of Computer Sc. and Engg.
+Ashutosh Saxena
+IIT Kanpur
+Kanpur 208016, India
+Kanpur 208016, India
+Ankit Anand
+IIT Kanpur
+Prof. Amitabha Mukerjee
+Dept. of Computer Sc. and Engg.
+IIT Kanpur
+Kanpur 208016, India
+While  approaches  based  on  3D  deformable  facial  model  have
+chieved expression recognition rates of as high as 98% [2], they
+re  computationally  inefficient  and  require  considerable  apriori
+training  based  on  3D  information,  which  is  often  unavailable.
+Recognition  from  2D  images  remains  a  difficult  yet  important"

+d5579b2708a1c713e1b2feb8646533ce26085a3a,Effective Use of Dilated Convolutions for Segmenting Small Object Instances in Remote Sensing Imagery,"Effective Use of Dilated Convolutions for Segmenting Small Object Instances in
+Remote Sensing Imagery
+Ryuhei Hamaguchi  Aito Fujita  Keisuke Nemoto
+Tomoyuki Imaizumi  Shuhei Hikosaka
+PASCO CORPORATION, Japan
+{riyhuc2734, aaitti6875, koetio8807, tiommu4352,"

+d588dd4f305cdea37add2e9bb3d769df98efe880,Audio - Visual Authentication System over the Internet Protocol,"Audio-Visual Authentication System over the
+Internet Protocol
+Yee Wan Wong, Kah Phooi Seng, and Li-Minn Ang
+bandoned.
+illumination  based
+is  developed  with  the  objective  to"

+d5de20cca347d6c5e6f662292e4d52e765ff5cee,Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties,

+d59a9d80e7d8c875d2b73241a8b02078ea6ad0a7,A Deep Learning Perspective on the Origin of Facial Expressions,"BREUER, KIMMEL: A DEEP LEARNING PERSPECTIVE ON FACIAL EXPRESSIONS
+A Deep Learning Perspective on the Origin
+of Facial Expressions
+Ran Breuer
+Ron Kimmel
+Department of Computer Science
+Technion - Israel Institute of Technology
+Technion City, Haifa, Israel
+Figure 1: Demonstration of the filter visualization process."

+d55d6ccefe797317996805ebf58a74587b158950,Distribution-based Label Space Transformation for Multi-label Learning,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Distribution-based Label Space Transformation for
+Multi-label Learning
+Zongting Lyu, Yan Yan, and Fei Wu"

+d5444f9475253bbcfef85c351ea9dab56793b9ea,BoxCars: Improving Fine-Grained Recognition of Vehicles using 3-D Bounding Boxes in Traffic Surveillance,"IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
+BoxCars: Improving Fine-Grained Recognition
+of Vehicles using 3D Bounding Boxes
+in Traffic Surveillance
+Jakub Sochor, Jakub ˇSpaˇnhel, Adam Herout
+in contrast"

+d53994f28deb2800120fab8a42852813b3b8c081,Does the Left Hair Part Look Better ( or Worse ) Than the Right ?,"Article
+Does the Left Hair Part Look Better
+(or Worse) Than the Right?
+Social Psychological and
+Personality Science
+ª The Author(s) 2018
+Reprints and permission:
+sagepub.com/journalsPermissions.nav
+DOI: 10.1177/1948550618762500
+journals.sagepub.com/home/spp
+Jeremy A. Frimer1"

+d5ab6aa15dad26a6ace5ab83ce62b7467a18a88e,Optimized Structure for Facial Action Unit Relationship Using Bayesian Network,"World Journal of Computer Application and Technology 2(7): 133-138, 2014
+DOI: 10.13189/wjcat.2014.020701
+http://www.hrpub.org
+Optimized Structure for Facial Action Unit Relationship
+Using Bayesian Network
+Yee Koon Loh*, Shahrel A. Suandi
+Intelligent Biometric Group, School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, Pulau
+*Corresponding Author:
+Pinang, Malaysia
+Copyright © 2014 Horizon Research Publishing All rights reserved."

+d5fe9c84710b71a754676b2ee67cec63e8cd184b,FPGA Implementation of a HOG-based Pedestrian Recognition System,"Sebastian Bauer, Ulrich Brunsmann, Stefan Schlotterbeck-Macht
+Aschaffenburg University of Applied Sciences, Aschaffenburg, Germany
+Faculty of Engineering
+FPGA Implementation of a HOG-based
+Pedestrian Recognition System
+FPGA Implementation of a HOG-based
+Pedestrian Recognition System
+{sebastian.bauer, ulrich.brunsmann, stefan.schlotterbeck-macht}
+terms  of
+With  respect  to  road  crash  statistics,  on-board
+pedestrian  detection  is  a  key  task  for  future
+dvanced  driver  assistance  systems.
+In  this
+paper,  we  describe  the  implementation  of  a  real-
+time pedestrian recognition system that combines
+FPGA-based  extraction  of  image  features  with  a
+CPU-based  object  localization  and  classification
+framework.
+features,  we  have
+implemented"

+d5d6b3959958adb1333fa1a72227378ad3f7c16d,Collaborative Contributions for Better Annotations,

+d56fe69cbfd08525f20679ffc50707b738b88031,Training of multiple classifier systems utilizing partially labeled sequential data sets,"Training of multiple classifier systems utilizing
+partially labelled sequences
+Martin Schels, Patrick Schillinger, and Friedhelm Schwenker
+Ulm University - Department of Neural Information Processing
+89069 Ulm - Germany"

+d5c6c0fb51947a2df1389f1aab7a635bf687ac1d,A Multiview Approach to Learning Articulated Motion Models,"A Multiview Approach to Learning
+Articulated Motion Models
+Andrea F. Daniele, Thomas M. Howard, and Matthew R. Walter"

+d5de42d37ee84c86b8f9a054f90ddb4566990ec0,Asynchronous Temporal Fields for Action Recognition,"Asynchronous Temporal Fields for Action Recognition
+Gunnar A. Sigurdsson1∗ Santosh Divvala2,3 Ali Farhadi2,3 Abhinav Gupta1,3
+Carnegie Mellon University 2University of Washington 3Allen Institute for Artificial Intelligence
+github.com/gsig/temporal-fields/"

+d50a40f2d24363809a9ac57cf7fbb630644af0e5,End-to-end Trained CNN Encode-Decoder Networks for Image Steganography,"END-TO-END TRAINED CNN ENCODER-DECODER NETWORKS FOR IMAGE
+STEGANOGRAPHY
+Atique ur Rehman, Rafia Rahim, Shahroz Nadeem, Sibt ul Hussain
+National University of Computer & Emerging Sciences (NUCES-FAST), Islamabad, Pakistan.
+Reveal.ai (Recognition, Vision & Learning) Lab"

+d5cf6a02f8308e948e3bcd1fd1ca660ea8ea8921,G Enerative Networks as Inverse Problems with Scattering Transforms,"Under review as a conference paper at ICLR 2018
+GENERATIVE NETWORKS AS INVERSE PROBLEMS
+WITH SCATTERING TRANSFORMS
+Anonymous authors
+Paper under double-blind review"

+d5b5c63c5611d7b911bc1f7e161a0863a34d44ea,Extracting Scene-Dependent Discriminant Features for Enhancing Face Recognition under Severe Conditions,"Extracting Scene-dependent Discriminant
+Features for Enhancing Face Recognition
+under Severe Conditions
+Rui Ishiyama and Nobuyuki Yasukawa
+Information and Media Processing Research Laboratories, NEC Corporation
+753, Shimonumabe, Nakahara-Ku, Kawasaki 211-8666 Japan"

+d53c5a974f9fccf18f3c8f7d73522d6ca7162115,X-GAN : Improving Generative Adversarial Networks with ConveX Combinations,"X-GAN: Improving Generative Adversarial
+Networks with ConveX Combinations
+Oliver Blum, Biagio Brattoli, and Bj¨orn Ommer
+Heidelberg University, HCI / IWR, Germany"

+d59404354f84ad98fa809fd1295608bf3d658bdc,Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANs,"International Journal of Computer Vision manuscript No.
+(will be inserted by the editor)
+Face Synthesis from Visual Attributes via Sketch using
+Conditional VAEs and GANs
+Xing Di · Vishal M. Patel
+Received: date / Accepted: date"

+d56407072eb9847fa44d49969129b5a4d1ef9ceb,Gaussian Process Prior Variational Autoencoders,"Gaussian Process Prior Variational Autoencoders
+Francesco Paolo Casale†∗, Adrian V Dalca‡§, Luca Saglietti†¶,
+Jennifer Listgarten(cid:93), Nicolo Fusi†
+Microsoft Research New England, Cambridge (MA), USA
+Computer Science and Artificial Intelligence Lab, MIT, Cambridge (MA), USA
+§ Martinos Center for Biomedical Imaging, MGH, HMS, Boston (MA), USA;
+¶ Italian Institute for Genomic Medicine, Torino, Italy
+(cid:93) EECS Department, University of California, Berkeley (CA), USA."

+d5856f47fe117c114e8bcfbf2abc4e80691a512c,Interpreting Complex Scenes using a Hierarchy of Prototypical Scene Models,"Interpreting Complex Scenes using a
+Hierarchy of Prototypical Scene
+Models
+Dissertation
+zur Erlangung des akademischen Grades
+Doktor der Ingenieurwissenschaften (Dr.-Ing.)
+vorgelegt an
+der Technischen Fakult¨at der Universit¨at Bielefeld
+Sarah Bonnin
+4.10.2014"

+d54f508c943b8415bfdd30d9210869ec93ff3f03,A method of illumination compensation for human face image based on quotient image,"Available online at www.sciencedirect.com
+Information Sciences 178 (2008) 2705–2721
+www.elsevier.com/locate/ins
+A method of illumination compensation for human face
+image based on quotient image q
+Wang Ying-hui a,b, Ning Xiao-juan a,*, Yang Chun-xia a, Wang Qiong-fang b
+School of Computer Science Engineering, Xi’an University of Technology, Xi’an 710048, China
+Department of Computer Science, Shaanxi Normal University, Xi’an 710062, China
+Received 23 February 2007; received in revised form 2 December 2007; accepted 14 December 2007"

+d24a30ed78b749f3730e25dcef89472dd5fb439c,Improving Face Recognition Performance Using a Hierarchical Bayesian Model,"Improving Face Recognition
+Performance Using a Hierarchical
+Bayesian Model
+Ashwini Shikaripur Nadig
+Submitted to the graduate degree program in
+Electrical Engineering & Computer Science and the
+Graduate Faculty of the University of Kansas
+School of Engineering in partial fulfillment of the
+requirements for the degree of Master of Science
+Thesis Committee:
+Dr. Brian Potetz: Chairperson
+Dr. Prasad Kulkarni
+Dr. Luke Huan
+Date Defended"

+d2f717d1799b5cec5f1f426511527bd7e6e05d9d,Image-Based Synthesis for Deep 3D Human Pose Estimation,"Noname manuscript No.
+(will be inserted by the editor)
+Image-based Synthesis for Deep 3D Human Pose Estimation
+Grégory Rogez · Cordelia Schmid
+Received: date / Accepted: date"

+d231a81b38fde73bdbf13cfec57d6652f8546c3c,SUPERRESOLUTION TECHNIQUES FOR FACE RECOGNITION FROM VIDEO by Osman,"SUPERRESOLUTION TECHNIQUES
+FOR FACE RECOGNITION FROM VIDEO
+Osman Gökhan Sezer
+B.S., E.E., Boğaziçi University, 2003
+Submitted to the Graduate School of Engineering
+and Natural Sciences in partially fulfillment of
+the requirement for the degree of
+Master of Science
+Graduate Program in Electronics Engineering and Computer Science
+Sabancı University
+Spring 2005"

+d22785eae6b7503cb16402514fd5bd9571511654,Evaluating Facial Expressions with Different Occlusion around Image Sequence,"Evaluating Facial Expressions with Different
+Occlusion around Image Sequence
+Ankita Vyas, Ramchand Hablani
+Department of Computer Science
+Sanghvi Institute of Management & Science
+Indore (MP), India
+local
+INTRODUCTION"

+d28c12e270a06e977b59194cc6564787c87caa7e,Human Action Poselets Estimation via Color G-surf in Still Images,"HUMAN ACTION POSELETS ESTIMATION VIA COLOR G-SURF IN STILL IMAGES
+M. Favorskaya *, D. Novikov, Y. Savitskaya
+Institute of Informatics and Telecommunications, Siberian State Aerospace University, 31 Krasnoyarsky Rabochy av., Krasnoyarsk,
+660014 Russian Federation - (favorskaya,
+Commission WG V/5, WG III/3
+KEY WORDS: Human Action, Poselets, Gauge-SURF, Random Forest, Still Image"

+d2df37ecfbf914d5b81e2e5e342e3907c6f55a14,Can Convolution Neural Network ( CNN ) Triumph in Ear Recognition of Uniform Illumination Invariant ?,"Indonesian Journal of Electrical Engineering and Computer Science
+Vol. 11, No. 2, August 2018, pp. 558~566
+ISSN: 2502-4752, DOI: 10.11591/ijeecs.v11.i2.pp558-566
+      558
+Can Convolution Neural Network (CNN) Triumph in Ear
+Recognition of Uniform Illumination Invariant?
+Nursuriati Jamil1, Ali Abd Almisreb2, Syed Mohd Zahid Syed Zainal Ariffin3, N. Md Din4,
+Raseeda Hamzah5
+,3,5Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA,
+40450 Shah Alam, Selangor, Malaysia
+,4College of Graduate Studies, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Malaysia
+Article Info
+Article history:
+Received Mar 1, 2018
+Revised Apr 21, 2018
+Accepted May 1, 2018
+Keywords:
+Convolution Neural Network
+Ear Recognition
+Uniform Illumination Invariant"

+d252e10024a22c8274ae67dbf37aa854d75a85f2,Joint Gender Classification and Age Estimation by Nearly Orthogonalizing Their Semantic Spaces,"Joint Gender Classification and Age Estimation
+y Nearly Orthogonalizing Their Semantic
+Spaces
+Qing Tiana, Songcan Chena,∗
+College of Computer Science and Technology, Nanjing University of Aeronautics and
+Astronautics, Nanjing 210016, China"

+d2eb1079552fb736e3ba5e494543e67620832c52,DeSTNet: Densely Fused Spatial Transformer Networks,"ANNUNZIATA, SAGONAS, CALÌ: DENSELY FUSED SPATIAL TRANSFORMER NETWORKS1
+DeSTNet: Densely Fused Spatial
+Transformer Networks1
+Roberto Annunziata
+Christos Sagonas
+Jacques Calì
+Onfido Research
+Finsbury Avenue
+London, UK"

+d24dafe10ec43ac8fb98715b0e0bd8e479985260,"Effects of Social Anxiety on Emotional Mimicry and Contagion: Feeling Negative, but Smiling Politely","J Nonverbal Behav (2018) 42:81–99
+https://doi.org/10.1007/s10919-017-0266-z
+O R I G I N A L P A P E R
+Effects of Social Anxiety on Emotional Mimicry
+nd Contagion: Feeling Negative, but Smiling Politely
+Corine Dijk1
+Charlotte van Eeuwijk4
+• Gerben A. van Kleef2
+• Agneta H. Fischer2
+• Nexhmedin Morina3
+Published online: 25 September 2017
+Ó The Author(s) 2017. This article is an open access publication"

+d2860bb05f747e4628e95e4d84018263831bab0d,Learning to Generate Samples from Noise through Infusion Training,"Published as a conference paper at ICLR 2017
+LEARNING TO GENERATE SAMPLES FROM NOISE
+THROUGH INFUSION TRAINING
+Florian Bordes, Sina Honari, Pascal Vincent∗
+Montreal Institute for Learning Algorithms (MILA)
+D´epartement d’Informatique et de Recherche Op´erationnelle
+Universit´e de Montr´eal
+Montr´eal, Qu´ebec, Canada"

+d2b2b56dd8c1daa61152595caf759a62596a85c9,Revocable and Non-Invertible Multibiometric Template Protection based on Matrix Transformation,"Pertanika J. Sci. & Technol. 26 (1): 133 - 160 (2018)
+Revocable and Non-Invertible Multibiometric Template
+Protection based on Matrix Transformation
+Jegede, A.1,2*, Udzir, N. I.1, Abdullah, A.1 and Mahmod, R.1
+Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, 43400 UPM,
+Serdang, Selangor, Malaysia
+Department of Computer Science, University of Jos, 930001 Nigeria"

+d20e7d7ab8e767dc1c170ca2141d8ba64a4d092b,Mental Concept in Autism,"Psychology, 2014, 5, 1392-1403
+Published Online August 2014 in SciRes. http://www.scirp.org/journal/psych
+http://dx.doi.org/10.4236/psych.2014.511150
+“Please Draw Me a Face…” Atypical Face
+Mental Concept in Autism
+Emilie Meaux1*, David Bakhos2, Frédérique Bonnet-Brilhault1, Patrice Gillet3,
+Emmanuel Lescanne4, Catherine Barthélémy1, Magali Batty1
+UMRS Imagerie et Cerveau, Inserm U930 Equipe 1, CNRS ERL 3106, Université François Rabelais de Tours,
+CHRU de Tours, Tours, France
+Unité Pédiatrique d’ORL et CCF, Centre Hospitalier Régional Universitaire de Tours, Université François
+Rabelais de Tours, CHRU de Tours, Tours, France
+Université François Rabelais de Tours, CHRU de Tours, Tours, France
+Service d’ORL et CCF Pédiatrique, CHU de Tours Gatien-de-Clocheville, Université François Rabelais de Tours,
+Tours, France
+Email:
+Received 16 May 2014; revised 12 June 2014; accepted 5 July 2014
+Copyright © 2014 by authors and Scientific Research Publishing Inc.
+This work is licensed under the Creative Commons Attribution International License (CC BY).
+http://creativecommons.org/licenses/by/4.0/"

+d259d3652f03c7b80e29c986e9540ab00b1f1133,3D Face Detection and Recognition under Occlusion,"Dr.V.Ramaswamy1, Parashuram Baraki2
+Research Guide, Jain University, Bangalore,
+Doctoral Student, Jain University, Bangalore
+& Asst.Professor , CS&E, Dept,
+GM Institute of Technology, Davanagere
+D Face Detection and Recognition under Occlusion
+is  very  vital.  Three-dimensional"

+d2f3ba37ef34d5d39f799f8dd3557f1eb795aedd,Learning Unified Embedding for Apparel Recognition,"Learning Unified Embedding for Apparel Recognition
+Yang Song
+Google
+Yuan Li
+Google
+Xiao Zhang
+Google
+Bo Wu
+Google
+Chao-Yeh Chen
+Google
+Hartwig Adam
+Google"

+d278e020be85a1ccd90aa366b70c43884dd3f798,Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks,"Learning From Less Data: Diversified Subset Selection and
+Active Learning in Image Classification Tasks
+Vishal Kaushal
+IIT Bombay
+Mumbai, Maharashtra, India
+Khoshrav Doctor
+AITOE Labs
+Mumbai, Maharashtra, India
+Suyash Shetty
+AITOE Labs
+Mumbai, Maharashtra, India
+Rishabh Iyer
+AITOE Labs
+Seattle, Washington, USA
+Anurag Sahoo
+AITOE Labs
+Seattle, Washington, USA
+Narsimha Raju
+IIT Bombay
+Mumbai, Maharashtra, India"

+d2b86b6dc93631990e21a12278e77f002fb4b116,Aalborg Universitet Attention in Multimodal Neural Networks for Person Re-identification,"Aalborg Universitet
+Attention in Multimodal Neural Networks for Person Re-identification
+Lejbølle, Aske Rasch; Krogh, Benjamin; Nasrollahi, Kamal; Moeslund, Thomas B.
+Published in:
+018 IEEE Computer Vision and Pattern Recognition Workshops: Visual Understanding of Humans in Crowd
+Scene
+Publication date:
+Document Version
+Accepted author manuscript, peer reviewed version
+Link to publication from Aalborg University
+Citation for published version (APA):
+Lejbølle, A. R., Krogh, B., Nasrollahi, K., & Moeslund, T. B. (2018). Attention in Multimodal Neural Networks for
+Person Re-identification. In 2018 IEEE Computer Vision and Pattern Recognition Workshops: Visual
+Understanding of Humans in Crowd Scene (pp. 179-187). IEEE.
+General rights
+Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners
+nd it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.
+? Users may download and print one copy of any publication from the public portal for the purpose of private study or research.
+? You may not further distribute the material or use it for any profit-making activity or commercial gain
+? You may freely distribute the URL identifying the publication in the public portal ?"

+d2a5b9b8f02f39f7d9ef48d234ec61f4ddc6c291,Facial surface reconstruction in 3D format,"Journal of Theoretical and Applied Computer Science
+ISSN 2299-2634
+Vol. 6, No. 4, 2012, pp. 37-50
+http://www.jtacs.org
+Facial surface reconstruction in 3D format
+Nadezhda Shchegoleva
+Department of Mathematical Computer Software, Saint Petersburg Electrotechnical University (LETI), Russia"

+d2518b01092160cecec2e986935b0129b0bbff45,Looking around the Backyard Helps to Recognize Handwritten Digits,"#2611
+CVPR 2008 Submission #2611. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
+#2611
+Looking around the Backyard Helps to Recognize Handwritten Digits
+Anonymous CVPR submission
+Paper ID 2611"

+d2cda0dbb8b2e83ce3e70d818f78d2add803c661,Automatic Video Captioning via Multi-channel Sequential Encoding,"Automatic Video Captioning via Multi-channel
+Sequential Encoding
+Chenyang Zhang and Yingli Tian
+Department of Electrical Engineering
+The City College of New York
+New York, NY 10031"

+d2b8459b41172dc332cf00dc18a309c442347a7d,Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free Approach,"Deep Spatial Feature Reconstruction for Partial Person Re-identification:
+Alignment-free Approach
+Lingxiao He∗1,2, Jian Liang∗1,2, Haiqing Li1,2, and Zhenan Sun1,2,3
+CRIPAC & NLPR, CASIA 2 University of Chinese Academy of Sciences, Beijing, P.R. China
+Center for Excellence in Brain Science and Intelligence Technology, CAS
+{lingxiao.he, jian.liang, hqli,"

+aa420d32c48a3fd526a91285673cd55ca9fe2447,R 4-A . 1 : Dynamics-Based Video Analytics,"R4-A.1: Dynamics-Based Video Analytics
+PARTICIPANTS
+Octavia Camps
+Mario Sznaier
+Title
+Co-PI
+Co-PI
+Faculty/Staff
+Institution
+Graduate, Undergraduate and REU Students
+Oliver Lehmann
+Mengran Gou
+Yongfang Cheng
+Yin Wang
+Sadjad Ashari-Esfeden
+Tom Hebble
+Rachel Shaff er
+Burak Yilmaz
+Degree Pursued
+MSEE/ PhD"

+aaaeca92457a72ec4e7e538cf6393c4c1dc8e670,Life-long Learning Perception using Cloud Database Technology,"Life-long Learning Perception using Cloud Database Technology
+Tim Niemueller
+Stefan Schiffer
+Gerhard Lakemeyer
+Knowledge-based Systems Group
+Safoura Rezapour Lakani
+Intelligent and Interactive Systems
+RWTH Aachen University (Aachen, Germany)
+University of Innsbruck (Innsbruck, Austria)"

+aaa021feeec2f84c4a5f3c56b4c0fecb5a85a352,A Riemannian Network for SPD Matrix Learning,"A Riemannian Network for SPD Matrix Learning
+Zhiwu Huang and Luc Van Gool
+Computer Vision Lab, ETH Zurich, Switzerland
+{zhiwu.huang,"

+aad03480c30c0a3d917d171d8d6b914026fe5105,Affordances Provide a Fundamental Categorization Principle for Visual Scenes,"Affordances
+Provide
+Fundamental
+Categorization
+Principle
+Visual
+Scenes
+Michelle
+Greene
+Christopher
+Baldassano
+Andre
+Esteva
+Diane
+(1) Stanford
+University,
+Department
+Computer
+Science
+(2) Stanford"

+aaaefba1bd0a9a9ec6c66a822d11fb907a05625c,"On Detection, Data Association and Segmentation for Multi-target Tracking.","This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TPAMI.2018.2849374, IEEE
+Transactions on Pattern Analysis and Machine Intelligence
+On Detection, Data Association and
+Segmentation for Multi-target Tracking
+Yicong Tian, Member, IEEE, Afshin Dehghan, Member, IEEE, and Mubarak Shah, Fellow, IEEE"

+aa5c2ac60a288132efeeb85c5af1fd0b39294eed,Directed Markov Stationary Features for visual classification,"978-1-4244-2354-5/09/$25.00 ©2009 IEEE
+ICASSP 2009"

+aa5efcc4331da6b1902f2c900b79120226fdcf20,A Robust Class-based Reflectance Rendering for Face Images,A ROBUST CLASS-BASED REFLECTANCE RENDERING FOR FACE IMAGES

+aa2ad3df24d8d8c4a4d2fe85f0d4e635d595f0a2,PedCut: an iterative framework for pedestrian segmentation combining shape models and multiple data cues,"F. FLOHR, D. M. GAVRILA: PEDCUT
+PedCut: an iterative framework for
+pedestrian segmentation combining
+shape models and multiple data cues
+Fabian Flohr1,2
+Dariu M. Gavrila1,2
+www.gavrila.net
+Environment Perception Department,
+Daimler R&D, Ulm, Germany
+Intelligent Systems Laboratory,
+Univ. of Amsterdam, The Netherlands"

+aa3e1824af497dc16ae27e6818a0e89c78a18371,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
+Recognition
+Mohammad Shahidul Islam
+Atish Dipankar University of Science & Technology, School, Department of Computer Science and Engineering, Dhaka, Bangladesh."

+aa23d33983b1abd2d8a677040eb875e93c478a7f,Measuring the Objectness of Image Windows,"Measuring the objectness of image windows
+Bogdan Alexe, Thomas Deselaers, and Vittorio Ferrari"

+aad8d2e32f1cc21eedbdd5e8ebff9f367daa6d92,Online Multi-target Tracking by Large Margin Structured Learning,"Online Multi-Target Tracking
+y Large Margin Structured Learning
+Suna Kim, Suha Kwak, Jan Feyereisl, and Bohyung Han
+Department of Computer Science and Engineering
+POSTECH, Korea"

+aaa6fe8045e1a071e1762cffe4f59e0bd508daf9,Single-Pedestrian Detection Aided by Two-Pedestrian Detection,"IEEE TRANSACTIONS PATTERN ANALYSIS AND MACHINE INTELLIGENCE
+Single-Pedestrian Detection Aided by
+-Pedestrian Detection
+Wanli Ouyang, Member, IEEE, Xingyu Zeng and Xiaogang Wang, Member, IEEE,"

+aa5fbe092f8a4dcb43c31ab93af0290900b4f0e2,Visual Question Answering using Natural Language Object Retrieval and Saliency Cues,"Visual Question Answering using Natural Language Object Retrieval and
+CS381V Final Project Report
+Saliency Cues
+Aishwarya Padmakumar
+Akanksha Saran"

+aae742779e8b754da7973949992d258d6ca26216,Robust facial expression classification using shape and appearance features,"Robust Facial Expression Classification Using Shape
+nd Appearance Features
+S L Happy and Aurobinda Routray
+Department of Electrical Engineering,
+Indian Institute of Technology Kharagpur, India"

+aad7f9eeb10d4f655c3e3d18d3542603ad3071b4,Deep Unsupervised Learning of Visual Similarities,"Deep Unsupervised Learning of Visual Similarities
+Artsiom Sanakoyeu∗, Miguel A. Bautista, Björn Ommer
+Heidelberg Collaboratory for Image Processing and Interdisciplinary Center for Scientific Computing, Heidelberg University, Germany"

+aa8cec9cec1f15f95bbe0ef4d7809e199de0f30b,Vitamin D hormone regulates serotonin synthesis. Part 1: relevance for autism.,"The FASEB Journal (cid:129) Review
+Vitamin D hormone regulates serotonin synthesis.
+Part 1: relevance for autism
+Rhonda P. Patrick1 and Bruce N. Ames1
+Nutrition and Metabolism Center, Children’s Hospital Oakland Research Institute, Oakland,
+California, USA
+Serotonin and vitamin D have been pro-"

+aa32f5b0a866b04a89f75cda32e0975a541864ff,Action-Driven Object Detection with Top-Down Visual Attentions,"Action-Driven Object Detection
+with Top-Down Visual Attentions
+Donggeun Yoo, Student Member, IEEE, Sunggyun Park, Student Member, IEEE,
+Kyunghyun Paeng, Student Member, IEEE, Joon-Young Lee, Member, IEEE,
+nd In So Kweon, Member, IEEE"

+aaa82dfc7942ae16c1d7155a109582505ccee4ec,Properties of Datasets Predict the Performance of Classifiers,"AGHAZADEH, CARLSSON: PROPERTIES OF DATASETS PREDICT THE PERFORMANCE ... 1
+Properties of Datasets Predict the
+Performance of Classifiers
+Omid Aghazadeh
+http://www.csc.kth.se/~omida
+Stefan Carlsson
+http://www.csc.kth.se/~stefanc
+Computer Vision Group
+Computer Vision and Active Perception
+Laboratory
+KTH, Sweden"

+aa52910c8f95e91e9fc96a1aefd406ffa66d797d,Face Recognition System Based on 2dfld and Pca,"FACE RECOGNITION SYSTEM BASED
+ON 2DFLD AND PCA
+Dr. Sachin D. Ruikar
+E&TC Department
+Sinhgad Academy of Engineering
+Pune, India
+Mr. Hulle Rohit Rajiv
+ME E&TC [Digital System]
+Sinhgad Academy of Engineering
+Pune, India"

+aa6854612062edff9978b33e0a410f2717bc3027,LPT: Eye Features Localizer in an N-Dimensional Image Space,"LPT: Eye Features Localizer in an N-Dimensional Image
+Space
+Mohammad Mahdi Dehshibi1, Azam Bastanfard2, and Alireza Abdi3
+Young Researchers Club, Islamic Azad University South Tehran Branch, Tehran, Iran
+IT Research Laboratory, Faculty of Engineering, Islamic Azad University Karaj Branch, Karaj, Iran
+Faculty of Electrical, Computer and IT, Islamic Azad University Qazvin Branch, Qazvin, Iran"

+aafb8dc8fda3b13a64ec3f1ca7911df01707c453,Excitation Backprop for RNNs,"Excitation Backprop for RNNs
+Sarah Adel Bargal∗1, Andrea Zunino∗ 2, Donghyun Kim1, Jianming Zhang3,
+Vittorio Murino2,4, Stan Sclaroff1
+Department of Computer Science, Boston University 2Pattern Analysis & Computer Vision (PAVIS),
+Istituto Italiano di Tecnologia 3Adobe Research 4Computer Science Department, Universit`a di Verona
+Figure 1: Our proposed framework spatiotemporally highlights/grounds the evidence that an RNN model used in producing a class label
+or caption for a given input video. In this example, by using our proposed back-propagation method, the evidence for the activity class
+CliffDiving is highlighted in a video that contains CliffDiving and HorseRiding. Our model employs a single backward pass to produce
+saliency maps that highlight the evidence that a given RNN used in generating its outputs."

+aa8c3eb6e821cb44ed5a15a2f09fba332e5561c6,Object Detection in Multi-view X-Ray Images,"Object Detection in Multi-View X-Ray Images
+Thorsten Franzel, Uwe Schmidt, and Stefan Roth
+Department of Computer Science, TU Darmstadt"

+aaba2a04c025f12f839ac71fb248da0dd6985d58,A Combined Face Recognition Approach Based on Lpd and Lvp,"VOL. 10, NO. 6, APRIL 2015                                                                                                                      ISSN 1819-6608
+ARPN Journal of Engineering and Applied Sciences
+©2006-2015 Asian Research Publishing Network (ARPN). All rights reserved.
+www.arpnjournals.com
+A COMBINED FACE RECOGNITION APPROACH BASED ON LPD
+AND LVP
+Kabilan R.1, Ravi R.2, Rajakumar G.1, Esther Leethiya Rani S.1 and Mini Minar V. C.1
+Department of ECE, Francis Xavier Engineering College, Tirunelveli, Tamilnadu, India
+Department of IT, Francis Xavier Engineering College, Tirunelveli, Tamilnadu, India
+E-Mail:"

+aadfcaf601630bdc2af11c00eb34220da59b7559,Multi-view Hybrid Embedding: A Divide-and-Conquer Approach,"Multi-view Hybrid Embedding:
+A Divide-and-Conquer Approach
+Jiamiao Xu∗, Shujian Yu∗, Xinge You†, Senior Member, IEEE, Mengjun Leng,
+Xiao-Yuan Jing, and C. L. Philip Chen, Fellow, IEEE"

+aaa4c625f5f9b65c7f3df5c7bfe8a6595d0195a5,Biometrics in ambient intelligence,"Biometrics in Ambient Intelligence
+Massimo Tistarelli§ and Ben Schouten§§"

+aa49556ee4f1ee3fcc9f0f713c755da30b0f505c,Exactly Robust Kernel Principal Component Analysis,"Exactly Robust Kernel Principal Component
+Analysis
+Jicong Fan, Tommy W.S. Chow"

+aa261599d70a9e649501cae5cf46fbc56229fad8,The effect of the Distance in Pedestrian Detection,"Master in Computer Vision and Artificial Intelligence - Universitat Aut`onoma de Barcelona
+September 2009
+The effect of the Distance in Pedestrian Detection
+David V´azquez Berm´udez
+Computer Vision Center
+Edifici O, Universitat Aut`onoma de Barcelona
+08193, Bellaterra (Spain)
+Advisors: Dr. Antonio M. L´opez and David Ger´onimo"

+aa5ed6ee0b2fd53df5cab952aa368f8c4908ffeb,REACH - Realtime crowd tracking using a hybrid motion model,"REACH - Realtime Crowd tracking using a Hybrid motion model
+Aniket Bera1 and Dinesh Manocha1
+http://gamma.cs.unc.edu/REACH"

+aae0e417bbfba701a1183d3d92cc7ad550ee59c3,A Statistical Method for 2-D Facial Landmarking,"A Statistical Method for 2-D Facial Landmarking
+Hamdi Dibeklio˘glu, Student Member, IEEE, Albert Ali Salah, Member, IEEE, and Theo Gevers, Member, IEEE"

+aa782f4af587ee68936f0f5361fc1448ef61bdd9,Human Tracking using Wearable Sensors in the Pocket Double blind submission,"Human Tracking using Wearable Sensors in the Pocket
+Double blind submission
+Address
+e-mail address"

+aa577652ce4dad3ca3dde44f881972ae6e1acce7,Deep Attribute Networks,"Deep Attribute Networks
+Junyoung Chung
+Department of EE, KAIST
+Daejeon, South Korea
+Donghoon Lee
+Department of EE, KAIST
+Daejeon, South Korea
+Youngjoo Seo
+Department of EE, KAIST
+Daejeon, South Korea
+Chang D. Yoo
+Department of EE, KAIST
+Daejeon, South Korea"

+aa2a4f7cf8866d513053873a410879ab5b34b53a,Improving robot manipulation with data-driven object-centric models of everyday forces,"Noname manuscript No.
+(will be inserted by the editor)
+Improving Robot Manipulation with Data-Driven
+Object-Centric Models of Everyday Forces
+Advait Jain · Charles C. Kemp
+Received: date / Accepted: date"

+aa94f214bb3e14842e4056fdef834a51aecef39c,Reconhecimento de padrões faciais: Um estudo,"Reconhecimento de padrões faciais: Um estudo
+Alex Lima Silva, Marcos Evandro Cintra
+Universidade Federal
+Rural do Semi-Árido
+Departamento de Ciências Naturais
+Mossoró, RN - 59625-900
+Email:
+Resumo—O reconhecimento facial tem sido utilizado em di-
+versas áreas para identificação e autenticação de usuários. Um
+dos principais mercados está relacionado a segurança, porém há
+uma grande variedade de aplicações relacionadas ao uso pessoal,
+onveniência, aumento de produtividade, etc. O rosto humano
+possui um conjunto de padrões complexos e mutáveis. Para
+reconhecer esses padrões, são necessárias técnicas avançadas de
+reconhecimento de padrões capazes, não apenas de reconhecer,
+mas de se adaptar às mudanças constantes das faces das pessoas.
+Este documento apresenta um método de reconhecimento facial
+proposto a partir da análise comparativa de trabalhos encontra-
+dos na literatura.
+iométrica é o uso da biometria para reconhecimento, identi-"

+aac101dd321e6d2199d8c0b48c543b541c181b66,Using Context to Enhance the Understanding of Face Images,"USING CONTEXT TO ENHANCE THE
+UNDERSTANDING OF FACE IMAGES
+A Dissertation Presented
+VIDIT JAIN
+Submitted to the Graduate School of the
+University of Massachusetts Amherst in partial fulfillment
+of the requirements for the degree of
+DOCTOR OF PHILOSOPHY
+September 2010
+Department of Computer Science"

+afaa607aa9ad0e9dad0ce2fe5b031eb4e525cbd8,Towards an automatic face indexing system for actor-based video services in an IPTV environment,"J. Y. Choi et al.: Towards an Automatic Face Indexing System for Actor-based Video Services in an IPTV Environment
+Towards an Automatic Face Indexing System for Actor-based
+Video Services in an IPTV Environment
+Jae Young Choi, Wesley De Neve, and Yong Man Ro, Senior Member, IEEE"

+af6e351d58dba0962d6eb1baf4c9a776eb73533f,How to Train Your Deep Neural Network with Dictionary Learning,"How to Train Your Deep Neural Network with
+Dictionary Learning
+Vanika Singhal*, Shikha Singh+ and Angshul Majumdar#
+*IIIT Delhi
+Okhla Phase 3
+Delhi, 110020, India
++IIIT Delhi
+Okhla Phase 3
+#IIIT Delhi
+Okhla Phase 3
+Delhi, 110020, India
+Delhi, 110020, India"

+af24595c0c8f1b317b6fe2f2b49417cc40094b5c,LSH Softmax : Sub-Linear Learning and Inference of the Softmax Layer in Deep Architectures,"LSH Softmax: Sub-Linear Learning and
+Inference of the Softmax Layer in Deep
+Daniel Levy∗
+Architectures
+Danlu Chen†
+January 31, 2018"

+af62621816fbbe7582a7d237ebae1a4d68fcf97d,Active Shape Model Based Recognition Of Facial Expression,"International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622
+International Conference on Humming Bird ( 01st March 2014)
+RESEARCH ARTICLE
+OPEN ACCESS
+Active Shape Model Based Recognition Of Facial Expression
+AncyRija V  , Gayathri. S2
+AncyRijaV,Author is currently pursuing M.E (Software Engineering) in Vins Christian College of
+Engineering,
+e-mail:
+Gayathri.S, M.E., Asst.Prof.,Department of Information Technology , Vins Christian college of Engineering."

+afa57e50570a6599508ee2d50a7b8ca6be04834a,Motion in action : optical flow estimation and action localization in videos. (Le mouvement en action : estimation du flot optique et localisation d'actions dans les vidéos),"Motion in action : optical flow estimation and action
+localization in videos
+Philippe Weinzaepfel
+To cite this version:
+Philippe Weinzaepfel. Motion in action : optical flow estimation and action localization in videos.
+Computer Vision and Pattern Recognition [cs.CV]. Université Grenoble Alpes, 2016. English. <NNT :
+016GREAM013>. <tel-01407258>
+HAL Id: tel-01407258
+https://tel.archives-ouvertes.fr/tel-01407258
+Submitted on 1 Dec 2016
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+af1fa9d29512fc8f4c07efdf75d3f640567a5262,Sparse Representation for Face Recognition Based on Constraint Sampling and Face Alignment,"TSINGHUA SCIENCE AND TECHNOLOGY
+ISSNll1007-0214ll08/12llpp62-67
+Volume 18, Number 1, February 2013
+Sparse Representation for Face Recognition Based on Constraint
+Sampling and Face Alignment
+Jing Wang, Guangda Su(cid:3), Ying Xiong, Jiansheng Chen, Yan Shang, Jiongxin Liu, and Xiaolong Ren"

+af9d41c598fc5ae57b20948cf664273da4664931,A comparison of crowd commotion measures from generative models,"A Comparison of Crowd Commotion Measures from Generative Models
+Sadegh Mohammadi
+Hamed Kiani
+Alessandro Perina
+Vittorio Murino
+Pattern Analysis and Computer Vision Department (PAVIS)
+Istituto Italiano di Tecnologia
+Genova, Italy"

+afb6d1e72d5b5506867a74beeb1e661599b8fff3,Dynamic Feature Learning for Partial Face Recognition,"Dynamic Feature Learning for Partial Face Recognition
+Lingxiao He1
+, Haiqing Li1
+, Qi Zhang1
+, and Zhenan Sun1
+CRIPAC & NLPR, CASIA 2 University of Chinese Academy of Sciences, Beijing, P.R. China
+Center for Excellence in Brain Science and Intelligence Technology, CAS
+{lingxiao.he, hqli, qi.zhang,"

+af9a830f62478c3638880d9a870f0b10535b3f92,Hausdorff distance-based multiresolution maps applied to image similarity measure,"Hausdorff distance-based multiresolution maps
+pplied to image similarity measure
+E. Baudrier*a, G. Millonb, F. Nicolierb, R. Seulinc and S. Ruanb
+LMA – University of La Rochelle, Avenue Cre´peau, 17000 La Rochelle, France
+CReSTIC – URCA, IUT, 9, rue de Que´bec, 10026 Troyes Cedex, France
+Le2i – CNRS UMR 5158, University of Burgundy – IUT, 12, rue de la fonderie, 71200 Le Creusot,
+France"

+af267b44c3ae6c2a0587310021a6180962e835d6,Shape and Symmetry Induction for 3D Objects,"Shape and Symmetry Induction for 3D Objects
+Shubham Tulsiani1, Abhishek Kar1, Qixing Huang2, Jo˜ao Carreira1 and Jitendra Malik1
+University of California, Berkeley 2Toyota Technological Institute at Chicago
+{shubhtuls, akar, carreira,"

+af8f59ceed0392159c3475c58af5b7ca8e4f6412,Facial Expression Recognition,"We are IntechOpen,
+the world’s leading publisher of
+Open Access books
+Built by scientists, for scientists
+,800
+16,000
+Open access books available
+International  authors and editors
+Downloads
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+Countries delivered to
+TOP 1%
+2.2%
+most cited scientists
+Contributors from top 500 universities
+Selection of our books indexed in the Book Citation Index
+in Web of Science™ Core Collection (BKCI)
+Interested in publishing with us?
+Contact
+Numbers displayed above are based on latest data collected."

+afe3a0d463e2f099305c745ddbf943844583795d,Learning Visual Question Answering by Bootstrapping Hard Attention,"Learning Visual Question Answering by
+Bootstrapping Hard Attention
+Mateusz Malinowski, Carl Doersch, Adam Santoro, and Peter Battaglia
+DeepMind, London, United Kingdom"

+af97b793a61ba6e2b02d0d29503b73b5bdc2150d,Wavelet-Local binary pattern based face recognition,"I S S N   2 2 7 7 - 3 0 6 1
+V o l u m e   1 6   N u m b e r   1
+I N T E R N A T I O N A L   J O U R N A L   O F   C O M P U T E R S   &   T E C H N O L O G Y
+Wavelet-Local binary pattern based face recognition
+Azad Abdullah Ameen(1), Hardi M. M-Saleh(2) ,Zrar Kh. Abdul(3)
+(1) Charmo University, College of Basic Education, Computer Department,Chamchamal, Raperin, Iraq
+(2) Charmo University, College of Basic Education, Computer Department, Chamchamal, Raperin, Iraq
+(3)Charmo University, College of Basic Education, Computer Department, Chamchamal, Raperin, Iraq"

+af8cd04bbe4902123d7042985159a6a5da9d9fb9,Représenter pour suivre : Exploitation de représentations parcimonieuses pour le suivi multi-objets. (Representing to follow: Exploitation of parsimonious representations for multi-object tracking),"Représenter pour suivre : exploitation de représentations
+parcimonieuses pour le suivi multi-objets
+Loïc Pierre Fagot-Bouquet
+To cite this version:
+Loïc Pierre Fagot-Bouquet. Représenter pour suivre : exploitation de représentations parcimonieuses
+pour le suivi multi-objets. Automatique. Université Paul Sabatier - Toulouse III, 2017. Français.
+<NNT : 2017TOU30030>. <tel-01516921v2>
+HAL Id: tel-01516921
+https://tel.archives-ouvertes.fr/tel-01516921v2
+Submitted on 4 May 2018
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+afa004a8daaa7fc093a798bf97babdb00273e1a0,Experimental Study on Fast 2d Homography Estimation from a Few Point Correspondences,"Tutkimusraportti 111
+Research Report 111
+EXPERIMENTAL STUDY ON FAST 2D
+HOMOGRAPHY ESTIMATION FROM A FEW
+POINT CORRESPONDENCES
+Joni-Kristian Kämäräinen and Pekka Paalanen
+Lappeenranta University of Technology
+Faculty of Technology Management
+Department of Information Technology
+Box 20
+FIN-53851 Lappeenranta
+ISBN 978-952-214-772-1 (paperback)
+ISBN 978-952-214-773-8 (PDF)
+ISSN 0783-8069
+Lappeenranta 2009"

+af34388e69800a168876f7446a621f68ca2215c0,Low-cost scene modeling using a density function improves segmentation performance,"Low-Cost Scene Modeling using a Density Function Improves Segmentation
+Performance
+Vivek Sharma(cid:5)(cid:63), S¸ule Yildirim-Yayilgan(cid:63), and Luc Van Gool(cid:5)∓"

+af053b8cf39612cec0148e14a9c4b7a789d7db11,Paris-Lille-3D: a large and high-quality ground truth urban point cloud dataset for automatic segmentation and classification,"Paris-Lille-3D: a large and high-quality ground truth urban point cloud
+dataset for automatic segmentation and classification
+Xavier Roynard, Jean-Emmanuel Deschaud and François Goulette
+{xavier.roynard ; jean-emmanuel.deschaud ;
+Mines ParisTech, PSL Research University, Centre for Robotics"

+afb1bc830febdb9893fd938fbdb20856b4ff3922,Defoiling Foiled Image Captions,"Defoiling Foiled Image Captions
+Pranava Madhyastha, Josiah Wang and Lucia Specia
+Department of Computer Science
+University of Sheffield, UK
+{p.madhyastha, j.k.wang,"

+afb51f0e173cd9ab1d41075862945ae6bc593cde,Large databases of real and synthetic images for feature evaluation and prediction,"Large databases of real and synthetic images for
+feature evaluation and prediction
+Biliana K. Kaneva
+B.A., Computer Science and Mathematics, Smith College (2000)
+M.S., Computer Science, University of Washington (2005)
+Submitted to the Department of Electrical Engineering and Computer Science
+in partial fulfillment of the requirements for the degree of
+Doctor of Philosophy
+in Electrical Engineering and Computer Science
+t the Massachusetts Institute of Technology
+February 2012
+(cid:13) 2012 Massachusetts Institute of Technology
+All Rights Reserved.
+Author:
+Certified by:
+Certified by:
+Accepted by:
+Department of Electrical Engineering and Computer Science
+December 22, 2011
+William T. Freeman, Professor of Computer Science"

+af64854f653f2c1724d04c9657adfcdabe0f8440,Structure propagation for zero-shot learning,"Structure propagation for zero-shot learning
+Guangfeng Lina,∗, Yajun Chena, Fan Zhaoa
+Information science department, Xian University of Technology,
+5 South Jinhua Road, Xi’an, Shaanxi Province 710048, PR China"

+af740db182b541eef80bb0a2dfebd1f07bb0e316,Deformable Kernel Networks for Joint Image Filtering,"Deformable Kernel Networks for Joint Image Filtering
+Beomjun Kim, Jean Ponce, Bumsub Ham
+To cite this version:
+Beomjun Kim, Jean Ponce, Bumsub Ham. Deformable Kernel Networks for Joint Image Filtering.
+018. <hal-01857016v2>
+HAL Id: hal-01857016
+https://hal.archives-ouvertes.fr/hal-01857016v2
+Submitted on 10 Oct 2018
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de
+recherche français ou étrangers, des laboratoires
+publics ou privés."

+afc7092987f0d05f5685e9332d83c4b27612f964,Person-independent facial expression detection using Constrained Local Models,"Person-Independent Facial Expression Detection using Constrained
+Local Models
+Sien. W. Chew, Patrick Lucey, Simon Lucey, Jason Saragih, Jeffrey F. Cohn and Sridha Sridharan"

+b7a09eaadcb21bf9ab234d87c954e329518580c5,Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation,"Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation
+Bugra Tekin
+Pablo M´arquez-Neila
+Mathieu Salzmann
+Pascal Fua
+EPFL, Switzerland"

+b730908bc1f80b711c031f3ea459e4de09a3d324,Active Orientation Models for Face Alignment In-the-Wild,"Active Orientation Models for Face
+Alignment In-the-Wild
+Georgios Tzimiropoulos, Joan Alabort-i-Medina, Student Member, IEEE,
+Stefanos P. Zafeiriou, Member, IEEE, and Maja Pantic, Fellow, IEEE"

+b778c0e5ec6cebbabc77fc56f9b7438f2974a4ea,Altered activity of the primary visual area during gaze processing in individuals with high-functioning autistic spectrum disorder: a magnetoencephalography study.,"Altered Activity of the Primary Visual Area during Gaze Processing in
+Individuals with High-Functioning Autistic Spectrum Disorder: A
+Magnetoencephalography Study
+Naoya Hasegawaa, Hideaki Kitamuraa, Hiroatsu Murakamib, Shigeki Kameyamab, Mutsuo
+Sasagawac, Jun Egawaa, Ryu Tamuraa, Tarou Endoa, Toshiyuki Someyaa
+Department of Psychiatry, Niigata University Graduate School of Medical and Dental Sciences,
+-757 Asahimachi-dori, Chuo-ku, Niigata 951-8510, Japan
+Department of Neurosurgery, Epilepsy Center, Nishi-Niigata Chuo National Hospital, 1-14-1
+Masago, Nishi-ku, Niigata 950-2085, Japan
+Department of Psychiatry, Epilepsy Center, Nishi-Niigata Chuo National Hospital, 1-14-1
+Masago, Nishi-ku, Niigata 950-2085, Japan
+Short title:
+Altered activity of the primary visual area of autistic spectrum disorder during gaze processing
+Correspondence: Hideaki Kitamura
+Department of Psychiatry, Niigata University Graduate School of Medical and Dental Sciences,
+-757 Asahimachi-dori, Chuo-ku, Niigata 951-8510, Japan
+Tel: +81-25-227-2213; Fax: +81-25-227-0777;
+E-mail:"

+b7cf7bb574b2369f4d7ebc3866b461634147041a,From NLDA to LDA/GSVD: a modified NLDA algorithm,"Neural Comput & Applic (2012) 21:1575–1583
+DOI 10.1007/s00521-011-0728-x
+O R I G I N A L A R T I C L E
+From NLDA to LDA/GSVD: a modified NLDA algorithm
+Jun Yin • Zhong Jin
+Received: 2 August 2010 / Accepted: 3 August 2011 / Published online: 19 August 2011
+Ó Springer-Verlag London Limited 2011"

+b7894c1f805ffd90ab4ab06002c70de68d6982ab,A comprehensive age estimation on face images using hybrid filter based feature extraction,"Biomedical Research 2017; Special Issue: S610-S618
+ISSN 0970-938X
+www.biomedres.info
+A comprehensive age estimation on face images using hybrid filter based
+feature extraction.
+Karthikeyan D1*, Balakrishnan G2
+Department of ECE, Srinivasan Engineering College, Perambalur, India
+Department of Computer Science and Engineering, Indra Ganesan College of Engineering, Trichy, India"

+b7a0e7dab11781c252e1145f3526aee388b4136d,Facing humanness: Facial width-to-height ratio predicts ascriptions of humanity.,"Journal of Personality and Social
+Psychology
+Facing Humanness: Facial Width-to-Height Ratio
+Predicts Ascriptions of Humanity
+Jason C. Deska, E. Paige Lloyd, and Kurt Hugenberg
+Online First Publication, August 28, 2017. http://dx.doi.org/10.1037/pspi0000110
+CITATION
+Deska, J. C., Lloyd, E. P., & Hugenberg, K. (2017, August 28). Facing Humanness: Facial Width-to-
+Advance online publication. http://dx.doi.org/10.1037/pspi0000110"

+b7eead8586ffe069edd190956bd338d82c69f880,A Video Database for Facial Behavior Understanding,"A VIDEO DATABASE FOR FACIAL
+BEHAVIOR UNDERSTANDING
+D. Freire-Obreg´on and M. Castrill´on-Santana.
+SIANI, Universidad de Las Palmas de Gran Canaria, Spain"

+b79f3d9f8de4d1cc6679676146a40d2a8596f32d,Composing Simple Image Descriptions using Web-scale N-grams,"Proceedings of the Fifteenth Conference on Computational Natural Language Learning, pages 220–228,
+Portland, Oregon, USA, 23–24 June 2011. c(cid:13)2011 Association for Computational Linguistics"

+b7ac537d97efcb968ca8e353ff5b0563e26b9dbe,Object-Aware Dense Semantic Correspondence,"Object-aware Dense Semantic Correspondence
+Fan Yang1, Xin Li1 ∗, Hong Cheng2, Jianping Li1, Leiting Chen1
+School of Computer Science & Engineering, UESTC
+Center for Robotics, School of Automation Engineering, UESTC
+fanyang xinli"

+b797f3fa4e732d52092f9eb863350440d5de8bb1,Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database,"Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization
+Using a Large Scale Radiology Image Database
+Xiaosong Wang
+Le Lu
+Hoo-chang Shin
+Lauren Kim Isabella Nogues
+Jianhua Yao
+Ronald Summers
+Imaging Biomarkers and Computer-aided Detection Laboratory
+Department of Radiology and Imaging Sciences
+National Institutes of Health Clinical Center
+0 Center Drive, Bethesda, MD 20892"

+b7c4fe5c89df51ebd1f89a34c66b94cc6019d8e6,Model Cards for Model Reporting,"Model Cards for Model Reporting
+Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben
+Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, Timnit Gebru"

+b7774c096dc18bb0be2acef07ff5887a22c2a848,Distance metric learning for image and webpage comparison. (Apprentissage de distance pour la comparaison d'images et de pages Web),"Distance metric learning for image and webpage
+omparison
+Marc Teva Law
+To cite this version:
+Marc Teva Law. Distance metric learning for image and webpage comparison. Image Processing. Uni-
+versité Pierre et Marie Curie - Paris VI, 2015. English. <NNT : 2015PA066019>. <tel-01135698v2>
+HAL Id: tel-01135698
+https://tel.archives-ouvertes.fr/tel-01135698v2
+Submitted on 18 Mar 2015
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de
+recherche français ou étrangers, des laboratoires"

+b7f05d0771da64192f73bdb2535925b0e238d233,Robust Active Shape Model using AdaBoosted Histogram Classifiers,"MVA2005  IAPR  Conference on Machine VIsion Applications, May 16-18, 2005 Tsukuba Science City, Japan
+Robust Active Shape Model using AdaBoosted Histogram Classifiers
+Yuanzhong Li
+W ataru Ito
+Imaging Software Technology Center
+Imaging Software Technology Center
+FUJI PHOTO FILM  CO., LTD.
+fujifilm.co.jp
+FUJI PHOTO FILM  CO., LTD.
+fujifilm.co.jp"

+b701f11ecf5d465c7d5c427914db2ad8c97bb8a9,JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets,"JointGAN: Multi-Domain Joint Distribution Learning with
+Generative Adversarial Nets
+Yunchen Pu 1 Shuyang Dai 2 Zhe Gan 3 Weiyao Wang 2 Guoyin Wang 2 Yizhe Zhang 3 Ricardo Henao 2
+Lawrence Carin 2"

+b755505bdd5af078e06427d34b6ac2530ba69b12,NFRAD: Near-Infrared Face Recognition at a Distance,"To appear in the International Joint Conf. Biometrics, Washington D.C., October, 2011
+NFRAD: Near-Infrared Face Recognition at a Distance
+Hyunju Maenga, Hyun-Cheol Choia, Unsang Parkb, Seong-Whan Leea and Anil K. Jaina,b
+Dept. of Brain and Cognitive Eng. Korea Univ., Seoul, Korea
+Dept. of Comp. Sci. & Eng. Michigan State Univ., E. Lansing, MI, USA 48824
+{hjmaeng, ,"

+b7b461f82c911f2596b310e2b18dd0da1d5d4491,K-mappings and Regression trees,"014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP)
+978-1-4799-2893-4/14/$31.00 ©2014 IEEE
+K-MAPPINGS AND REGRESSION TREES
+SAMSI and Duke University
+. INTRODUCTION
+rgminM1,...,MK
+P1,...PK
+Arthur Szlam†
+.1. Partitioning Y
+K(cid:2)
+(cid:2)
+(cid:3)
+(cid:4)"

+b732393cd3877f7e6d3cf3ca033a42415bd6db56,Statistical and Geometric Modeling of Spatio-Temporal Patterns for Video Understanding,

+b73fdae232270404f96754329a1a18768974d3f6,Local Relation Map : A Novel Illumination Invariant Face Recognition Approach Regular Paper,

+b76af8fcf9a3ebc421b075b689defb6dc4282670,Face Mask Extraction in Video Sequence,"Face Mask Extraction in Video Sequence
+Yujiang Wang 1 · Bingnan Luo 1 · Jie Shen 1 · Maja Pantic 1"

+b75df22c7c52b8d85dd7f155f7b495907ff3561f,Benchmark data and method for real-time people counting in cluttered scenes using depth sensors,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, APRIL 2018
+Benchmark data and method for real-time people
+ounting in cluttered scenes using depth sensors
+ShiJie Sun, Naveed Akhtar, HuanSheng Song, ChaoYang Zhang, JianXin Li, Ajmal Mian
+Computer Vision techniques are well-suited to the problem
+of automatic people counting for public transportations. How-
+ever, using conventional RGB videos for this purpose is chal-
+lenged by multiple issues resulting from real-world conditions
+such as clutter, occlusions, illumination variations, handling
+shadows etc. In comparison to the conventional video systems,
+RGB-D cameras (e.g. Kinect V1 [4], Prime Sense Camera [5])
+an mitigate these issues by providing ‘depth’ information
+of the scene in addition to its color video. Nevertheless,
+effective people counting in real-world conditions using depth
+information still remains a largely unsolved problem due to
+noise and occlusion [6]."

+b73a6c7083f3dbc8b355f934aaf84438c10a7963,The 54th Annual Meeting of the Association for Computational Linguistics,"The54thAnnualMeetingoftheAssociationforComputationalLinguisticsProceedingsoftheConference,Vol.2(ShortPapers)August7-12,2016Berlin,Germany"

+b774d7c951b9c444572085e15f6a81a063abf123,Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification,"FeaturesSpatial  AttentionTemporal  Attention1                      2                      3                              N‘face’‘torso’‘bag’Figure1.SpatiotemporalAttention.Inchallengingvideore-identificationscenarios,apersonisrarelyfullyvisibleinallframes.However,framesinwhichonlypartofthepersonisvis-ibleoftencontainusefulinformation.Forexample,thefaceisclearlyvisibleintheframes1and2,thetorsoinframe2,andthehandbaginframes2,3andN.Insteadofaveragingfullframefeaturesacrosstime,weproposeanewspatiotemporalapproachwhichlearnstodetectasetofKdiversesalientimageregionswithineachframe(superimposedheatmaps).Anaggregaterep-resentationofeachbodypartisthenproducedbycombiningtheextractedper-frameregionsacrosstime(weightsshownaswhitetext).Ourspatiotemporalapproachcreatesacompactencodingofthevideothatexploitsusefulpartialinformationineachframebyleveragingmultiplespatialattentionmodels,andcombiningtheiroutputsusingmultipletemporalattentionmodels.personre-identification,whichisageneralizationofthestandardimage-basedre-identificationtask.InsteadofarXiv:1803.09882v1  [cs.CV]  27 Mar 2018"

+b7f0d1d65763fb57ee9a3624116a42a2fe763707,Predicting psychological attributions from face photographs with a deep neural network,"Predicting psychological attributions from face
+photographs with a deep neural network
+Edward Grant1∗, Stephan Sahm1∗, Mariam Zabihi1∗, Marcel van Gerven1
+Radboud University, Nijmegen, the Netherlands
+Denotes equal contribution"

+b7c4b22d44be82b2e1074c5c40b76461db4b0292,Generating Multiple Diverse Hypotheses for Human 3D Pose Consistent with 2D Joint Detections,"Generating Multiple Diverse Hypotheses for Human 3D Pose Consistent with 2D
+Joint Detections
+Ehsan Jahangiri, Alan L. Yuille
+Johns Hopkins University, Baltimore, USA"

+b705ca751a947e3b761e2305b41891051525d9df,Exploring Context with Deep Structured Models for Semantic Segmentation,"Exploring Context with Deep Structured models
+for Semantic Segmentation
+Guosheng Lin, Chunhua Shen, Anton van den Hengel, Ian Reid"

+b7207c142b0b9f4def3ae7cd07ce50ca31d930e8,Human Age Group Prediction from Unknown Facial Image,"Volume 7, Issue 5, May 2017                                  ISSN: 2277 128X
+International Journal of Advanced Research in
+Computer Science and Software Engineering
+Research Paper
+Available online at: www.ijarcsse.com
+Human Age Group Prediction from Unknown Facial Image
+Arumugam P, 2Muthukumar S, 3Selva Kumar S, 4Gayathri
+Department of Statistics,   2, 4 Department of CSE, 3Research Scholar
+, 3 Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu, India
+, 4 Varuvan Vadivelan Institute of Technology, Dharmapuri, Tamilnadu, India
+DOI: 10.23956/ijarcsse/SV7I5/0103"

+b768cb6fc2616f3dbe9ef4e25dedd7d95781ba66,Distribution Matching in Variational Inference,"Distribution Matching in Variational Inference
+Mihaela Rosca Balaji Lakshminarayanan
+Shakir Mohamed
+DeepMind"

+b7b23814948afc5525975ed44f3dd247100e6722,Relevant Feature Selection for Human Pose Estimation and Localization in Cluttered Images,"Relevant Feature Selection for Human Pose Estimation
+nd Localization in Cluttered Images
+Ryuzo Okada(cid:2) and Stefano Soatto
+Computer Science Department, University of California, Los Angeles"

+b7216846c743d94fcd43e1b543c9d16ae11d3c48,Engaging Image Chat: Modeling Personality in Grounded Dialogue,"Engaging Image Chat: Modeling Personality in Grounded Dialogue
+Kurt Shuster Samuel Humeau Antoine Bordes Jason Weston
+{kshuster, samuelhumeau, abordes, jase}
+Facebook AI Research"

+b7f7a4df251ff26aca83d66d6b479f1dc6cd1085,Handling missing weak classifiers in boosted cascade: application to multiview and occluded face detection,"Bouges et al. EURASIP Journal on Image and Video Processing 2013, 2013:55
+http://jivp.eurasipjournals.com/content/2013/1/55
+RESEARCH
+Open Access
+Handling missing weak classifiers in boosted
+ascade: application to multiview and
+occluded face detection
+Pierre Bouges1*, Thierry Chateau1*, Christophe Blanc1 and Gaëlle Loosli2"

+b7d425ea6b476c4af208a6b6a9e84ab17921dab4,Heuristic-based Automatic Face Detection,"HEURISTIC-BASED AUTOMATIC FACE DETECTION
+Geovany Ramírez1, Vittorio Zanella1,2, Olac Fuentes2
+Universidad Popular Autónoma del Estado de Puebla
+1 sur #1103 Col. Santiago Puebla 72160, México
+Instituto Nacional de Astrofísica Optica y Electrónica
+Luis Enrique Erro #1 Sta. María  Tonantzintla Puebla 72840, México
+E-mail:"

+b7a827bb393361c309fbba652967dee11d16857c,Comparative Analysis of various Illumination Normalization Techniques for Face Recognition,"International Journal of Computer Applications (0975 – 8887)
+Volume 28– No.9, August 2011
+Comparative Analysis of various Illumination
+Normalization Techniques for Face Recognition
+Tripti Goel
+GPMCE, Delhi
+Vijay Nehra
+BPSMV, Khanpur
+Virendra P.Vishwakarma
+JIIT, Noida
+explained"

+b704f8360c369e65f0826ca23dac2d4e221d8997,A Knowledge Base for Automatic Feature Recognition from Point Clouds in an Urban Scene,"Article
+A Knowledge Base for Automatic Feature Recognition
+from Point Clouds in an Urban Scene
+Xu-Feng Xing 1,2,* ID , Mir-Abolfazl Mostafavi 1,2 ID and Seyed Hossein Chavoshi 1,2
+Department of Geomatics Sciences, Université Laval, Québec, QC G1V 0A6, Canada;
+(M.-A.M.); (S.H.C.)
+Center for Research in Geomatics, Université Laval, Québec, QC G1V 0A6, Canada
+* Correspondence: Tel.: +1-581-888-9786
+Received: 4 October 2017; Accepted: 11 January 2018; Published: 16 January 2018"

+b7c2173668a4c23b79450111887d8b1e4199f89c,Complex event recognition by latent temporal models of concepts,"COMPLEX EVENT RECOGNITION BY LATENT TEMPORAL MODELS OF CONCEPTS
+Ehsan Zare Borzeshi1, Afshin Dehghan2, Massimo Piccardi1, and Mubarak Shah2
+School of Computing and Communications, University of Technology, Sydney (UTS)1,
+Centre for Research in Computer Vision, University of Central Florida (UCF)2"

+db85195e171f7b75e4e6f99ed3029d31ee557e13,the influence of a verticality metaphor in the processing of happy and sad faces,"RIPS / IRSP, 27 (2), 51-77 © 2014, Presses universitaires de Grenoble
+the influence of a verticality metaphor
+in the processing of happy and sad faces
+L’influence de la métaphore de verticalité sur le traitement
+des émotions faciales de gaieté et de tristesse
+Timothée Mahieu*,**
+Olivier Corneille**
+Vincent Y. Yzerbyt**
+Key-words
+Metaphorical thinking,
+grounded cognition,
+facial emotions, gender
+Mots-clés
+Pensée métaphorique,
+ognition incarnée,
+émotions faciales,
+genre"

+db227f72bb13a5acca549fab0dc76bce1fb3b948,Characteristic Based Image Search Using Re-Ranking Method,"International Refereed Journal of Engineering and Science (IRJES)
+ISSN (Online) 2319-183X, (Print) 2319-1821
+Volume 4, Issue 6 (June 2015), PP.169-169-174
+Characteristic Based Image Search using Re-Ranking method
+Chitti Babu, 2Yasmeen Jaweed, 3G.Vijay Kumar
+,2,3Computer Science Engineering Dept, Sree Dattha Institute of Engineering & Science"

+dbaf89ca98dda2c99157c46abd136ace5bdc33b3,Nonlinear Cross-View Sample Enrichment for Action Recognition,"Nonlinear Cross-View Sample Enrichment for
+Action Recognition
+Ling Wang, Hichem Sahbi
+Institut Mines-T´el´ecom; T´el´ecom ParisTech; CNRS LTCI"

+dbe101c7c4b5ea5986be38e4d6de70bfc4324683,1 Deep convolutional neural networks capabilities for 2 binary classification of polar mesocyclones in 3 satellite mosaics 4,"Preprints (www.preprints.org)  |  NOT PEER-REVIEWED  |  Posted: 29 October 2018                   doi:10.20944/preprints201809.0361.v3
+Article
+Deep convolutional neural networks capabilities for
+inary classification of polar mesocyclones in
+satellite mosaics
+Mikhail Krinitskiy 1,*, Polina Verezemskaya 1,2, Kirill Grashchenkov1,3, Natalia Tilinina1,
+Sergey Gulev1 and Matthew Lazzara 4
+Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia;
+Research Computing Center of Lomonosov Moscow State University, Moscow, Russia
+Moscow Institute of Physics and Technology, Moscow, Russia
+University of Wisconsin-Madison and Madison Area Technical College, Madison, Wisconsin, USA
+*  Correspondence: Tel.: +7-926-141-6200"

+dbe255d3d2a5d960daaaba71cb0da292e0af36a7,Evolutionary Cost-Sensitive Extreme Learning Machine,"Evolutionary Cost-sensitive Extreme Learning
+Machine
+Lei Zhang, Member, IEEE, and David Zhang, Fellow, IEEE"

+db480f100004e3ef075f9404041fe4f89fcf4e0c,Human Pose Estimation for RGBD Imagery with Multi-Channel Mixture of Parts and Kinematic Constraints,"Human Pose Estimation for RGBD Imagery with Multi-Channel
+Mixture of Parts and Kinematic Constraints
+ENRIQUE MARTINEZ-BERTI
+Universitat Politecnica de Valencia
+Instituto AI2
+Camino de Vera s/n, Valencia
+SPAIN
+ANTONIO J. SNCHEZ-SALMERN
+Universitat Politecnica de Valencia
+CARLOS RICOLFE-VIALA
+Universitat Politecnica de Valencia
+Instituto AI2
+Camino de Vera s/n, Valencia
+SPAIN
+Instituto AI2
+Camino de Vera s/n, Valencia
+SPAIN
+Center for Research in Computer Vision
+Center for Research in Computer Vision
+OLIVER NINA"

+db6d00f9237cce392c08b422662b48baa2ed1b80,A New Framework for Biometric Face Recognition Using Visual,"Annals of DAAAM for 2012 & Proceedings of the 23rd International DAAAM Symposium, Volume 23, No.1, ISSN 2304-1382
+ISBN 978-3-901509-91-9, CDROM version, Ed. B. Katalinic, Published by DAAAM International, Vienna, Austria, EU, 2012
+Make Harmony between Technology and Nature, and Your Mind will Fly Free as a Bird
+Annals & Proceedings of DAAAM International 2012
+A NEW FRAMEWORK FOR BIOMETRIC FACE RECOGNITION USING VISUAL
+CRYPTOGRAPY
+MIHAILESCU, M[arius] I[ulian] & PIRLOAGA, M[arian] D[orin]"

+dba3ec4420a0bcca3264f75f4c975cabdbb1af74,"""Edutainment 2017"" a visual and semantic representation of 3D face model for reshaping face in images","J Vis (2018) 21:649–660
+https://doi.org/10.1007/s12650-018-0476-4
+R E G UL A R P A P E R
+Jiang Du • Dan Song • Yanlong Tang • Ruofeng Tong • Min Tang
+‘‘Edutainment 2017’’ a visual and semantic
+representation of 3D face model for reshaping face
+in images
+Received: 15 September 2017 / Revised: 20 December 2017 / Accepted: 22 January 2018 / Published online: 16 February 2018
+Ó The Visualization Society of Japan 2018"

+db24a2c27656db88486479b26f99d8754a44f4b8,Age estimation via face images : a survey,"Angulu et al. EURASIP Journal on Image and Video
+Processing  (2018) 2018:42
+https://doi.org/10.1186/s13640-018-0278-6
+EURASIP Journal on Image
+nd Video Processing
+REVIEW
+Open Access
+Age estimation via face images: a survey
+Raphael Angulu1*†
+, Jules R. Tapamo2 and Aderemi O. Adewumi1"

+dbb0a527612c828d43bcb9a9c41f1bf7110b1dc8,Machine Learning Techniques for Face Analysis,"Chapter 7
+Machine Learning Techniques
+for Face Analysis
+Roberto Valenti, Nicu Sebe, Theo Gevers, and Ira Cohen"

+dbb065aa2a6e6804e0ab8aee27314a6f68c4cde1,Advanced Hypothesis Testing Techniques and Their Application to Image Classification Advanced Hypothesis Testing Techniques and Their Application to Image Classification Title: Advanced Hypothesis Testing Techniques and Their Application to Image Classification Acknowledgements,"Dipartimento di Informatica e
+Scienze dell’Informazione
+•• ••
+Advanced Hypothesis testing techniques and their
+pplication to image classification
+Emanuele Franceschi
+Theses Series
+DISI-TH-2005-XX
+DISI, Universit`a di Genova
+v. Dodecaneso 35, 16146 Genova, Italy
+http://www.disi.unige.it/"

+db458242dd526d84579aeee563355ca1a7dea5ea,Face Detection in Nighttime Images Using Visible-Light Camera Sensors with Two-Step Faster Region-Based Convolutional Neural Network,"Article
+Face Detection in Nighttime Images Using
+Visible-Light Camera Sensors with Two-Step Faster
+Region-Based Convolutional Neural Network
+Se Woon Cho, Na Rae Baek, Min Cheol Kim, Ja Hyung Koo, Jong Hyun Kim and
+Kang Ryoung Park *
+Division of Electronics and Electrical Engineering, Dongguk University, 30 Pil-dong-ro 1-gil, Jung-gu,
+Seoul 04620, Korea; (S.W.C.); (N.R.B.);
+(M.C.K.); (J.H.K.); (J.H.K.)
+* Correspondence: Tel.: +82-10-3111-7022; Fax: +82-2-2277-8735
+Received: 31 July 2018; Accepted: 4 September 2018; Published: 7 September 2018"

+dbb7f37fb9b41d1aa862aaf2d2e721a470fd2c57,Face image analysis with convolutional neural networks,"Face Image Analysis With
+Convolutional Neural Networks
+Dissertation
+Zur Erlangung des Doktorgrades
+der Fakult¨at f¨ur Angewandte Wissenschaften
+n der Albert-Ludwigs-Universit¨at Freiburg im Breisgau
+Stefan Duffner"

+db625c4c26c7df67c9099e78961d479532628ec7,"All-in Text: Learning Document, Label, and Word Representations Jointly","Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16)
+All-in Text: Learning Document, Label, and Word Representations Jointly
+Jinseok Nam, Eneldo Loza Menc´ıa, Johannes F¨urnkranz
+Knowledge Discovery in Scientific Literature, TU Darmstadt
+Knowledge Engineering Group, TU Darmstadt
+Research Training Group AIPHES, TU Darmstadt"

+dbb7b563e84903dad4953a8e9f23e3c54c6d7e78,Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras,"Joint Person Re-identification and Camera Network
+Topology Inference in Multiple Cameras
+Yeong-Jun Cho, Su-A Kim*, Jae-Han Park*, Kyuewang Lee, Student Member, IEEE
+nd Kuk-Jin Yoon, Member, IEEE"

+dbd5e9691cab2c515b50dda3d0832bea6eef79f2,Image - based Face Recognition : Issues and Methods 1,"Image-basedFaceRecognition:IssuesandMethods

+WenYiZhao
+RamaChellappa
+Sarno(cid:11)Corporation
+CenterforAutomationResearch
+
+UniversityofMaryland
+Princeton,NJ
+CollegePark,MD
+db186bd2a276a574b2246e3e4d136f8a07c53ff2,Verisimilar Percept Sequences Tests for Autonomous Driving Intelligent Agent Assessment,"Verisimilar Percept Sequences Tests for
+Autonomous Driving Intelligent Agent Assessment
+Thomio Watanabe
+University of Sao Paulo
+Denis Wolf
+University of Sao Paulo"

+db67edbaeb78e1dd734784cfaaa720ba86ceb6d2,SPECFACE — A dataset of human faces wearing spectacles,"SPECFACE - A Dataset of Human Faces Wearing Spectacles
+Anirban Dasgupta, Shubhobrata Bhattacharya and Aurobinda Routray
+Indian Institute of Technology Kharagpur
+India"

+db0d33590dc15de2d30cf0407b7a26ae79cd51b5,Deep Probabilistic Modeling of Natural Images using a Pyramid Decomposition,"Deep Probabilistic Modeling of Natural Images using a Pyramid Decomposition
+Alexander Kolesnikov
+IST Austria, Am Campus 1, Klosterneuburg, 3400 Austria
+Christoph H. Lampert
+IST Austria, Am Campus 1, Klosterneuburg, 3400 Austria"

+a83fc450c124b7e640adc762e95e3bb6b423b310,Deep Face Feature for Face Alignment and Reconstruction,"Deep Face Feature for Face Alignment
+Boyi Jiang, Juyong Zhang, Bailin Deng, Yudong Guo and Ligang Liu"

+a84032e66db042a57722b4a3bc7301ebe567fb8b,"IJSRD - International Journal for Scientific Research & Development| Vol. 3, Issue 01, 2015 | ISSN (online): 2321-0613","IJSRD - International Journal for Scientific Research & Development| Vol. 3, Issue 01, 2015 | ISSN (online): 2321-0613
+Review of Energy Enhancements of Modified LEACH
+Kirti Sharma1
+Department of Electronics & Communication Engineering
+Maharishi Ved Vyas Engineering College, Jagadhri, India
+using
+minimized"

+a85e9e11db5665c89b057a124547377d3e1c27ef,Dynamics of Driver's Gaze: Explorations in Behavior Modeling and Maneuver Prediction,"Dynamics of Driver’s Gaze: Explorations in
+Behavior Modeling & Maneuver Prediction
+Sujitha Martin, Member, IEEE, Sourabh Vora, Kevan Yuen, and Mohan M. Trivedi, Fellow, IEEE"

+a8ed00afc46064b18a6bcc7aa282e554891eacf2,Underwater image restoration: super-resolution and deblurring via sparse representation and denoising by means of marine snow removal,"Underwater Image Restoration:
+Super-resolution and Deblurring via Sparse Representation and
+Denoising by Means of Marine Snow Removal
+Dissertation
+Erlangung des akademischen Grades
+Doktor-Ingenieur (Dr.-Ing)
+der Fakultät für Informatik und Elektrotechnik
+der Universität Rostock
+vorgelegt von
+Fahimeh Farhadifard
+geb. am 05.11.1985 in Mashhad/Iran
+us Rostock
+Rostock, den 27. Oktober 2017"

+a8420e7fa53b81b8069ced8d9c743c141e2fc432,Real-Time Multiple Object Tracking - A Study on the Importance of Speed,"Real-TimeMultipleObjectTrackingAStudyontheImportanceofSpeedSAMUELMURRAYMaster’sProgramme,MachineLearningDate:September28,2017Supervisor:KevinSmithExaminer:HedvigKjellströmPrincipal:HelmutPrendinger,NationalInstituteofInformatics,TokyoSwedishtitle:IdentifieringavrörligaobjektirealtidSchoolofComputerScienceandCommunication"

+a856449c724f958dbb2f0629228d26a322153ba3,Face Mask Extraction in Video Sequence,"Face Mask Extraction in Video Sequence
+Yujiang Wang 1 · Bingnan Luo 1 · Jie Shen 1 · Maja Pantic 1"

+a8117a4733cce9148c35fb6888962f665ae65b1e,A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion,"IEEE TRANSACTIONS ON XXXX, VOL. XX, NO. XX, XX 201X
+A Good Practice Towards Top Performance of Face
+Recognition: Transferred Deep Feature Fusion
+Lin Xiong1∗†, Jayashree Karlekar1∗, Jian Zhao2∗†, Jiashi Feng2, Member, IEEE, Sugiri Pranata1, and
+Shengmei Shen1"

+a8788ce65d01018a0e1b4cdaf6466f495e68f7e3,A Probabilistic Retrieval Model for Word Spotting based on Direct Attribute Prediction,"A Probabilistic Retrieval Model
+for Word Spotting based on
+Direct Attribute Prediction
+Eugen Rusakov, Leonard Rothacker, Hyunho Mo, and Gernot A. Fink
+Department of Computer Science
+TU Dortmund University
+4221 Dortmund, Germany
+Email:{eugen.rusakov, leonard.rothacker, hyunho.mo,"

+a8d3dc5c68032c60ebbe3b547ac948d7cf8dd1d8,Multi-Label Zero-Shot Learning via Concept Embedding,"Multi-Label Zero-Shot Learning via Concept
+Embedding
+Ubai Sandouk and Ke Chen"

+a87ab836771164adb95d6744027e62e05f47fd96,Understanding human-human interactions: a survey,"Understanding human-human interactions: a survey
+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"

+a81d396c9210282d461f9f08b7b9794b096ecdfe,FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising,"FFDNet: Toward a Fast and Flexible Solution for
+CNN based Image Denoising
+Kai Zhang, Wangmeng Zuo, Senior Member, IEEE, and Lei Zhang, Fellow, IEEE"

+a8e5d204549fcf93c5bea88b0f99a2e4da9648e7,Neuropeptidergic regulation of affiliative behavior and social bonding in animals.,"www.elsevier.com/locate/yhbeh
+Neuropeptidergic regulation of affiliative behavior and
+social bonding in animals
+Miranda M. Lim 1, Larry J. Young ⁎
+Center for Behavioral Neuroscience, Department of Psychiatry and Behavioral Sciences, and 954 Gatewood Road Yerkes National Primate Research Center,
+Emory University, Atlanta, GA 30322, USA
+Received 16 May 2006; revised 26 June 2006; accepted 27 June 2006
+Available online 4 August 2006"

+a88640045d13fc0207ac816b0bb532e42bcccf36,Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction,"ARXIV VERSION
+Simultaneously Learning Neighborship and
+Projection Matrix for Supervised
+Dimensionality Reduction
+Yanwei Pang, Senior Member, IEEE, Bo Zhou, and Feiping Nie, Senior Member, IEEE"

+a8d41c63462da7dbddf4094eddaa0bb6d72d0fdc,A Semantic-based Method for Visualizing Large Image Collections.,"A Semantic-based Method for
+Visualizing Large Image Collections
+Xiao Xie, Xiwen Cai, Junpei Zhou, Nan Cao, Yingcai Wu"

+a8eebadc262594d1ca86d5520f312c1779d00b33,Improved Minimum Squared Error Algorithm with Applications to Face Recognition,"Improved Minimum Squared Error Algorithm with
+Applications to Face Recognition
+Qi Zhu1,2,3, Zhengming Li1,3,4, Jinxing Liu5, Zizhu Fan1,6, Lei Yu7, Yan Chen8*
+Bio-Computing Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China, 2 School of Optical-Electrical and Computer Engineering, University
+of Shanghai for Science and Technology, Shanghai, China, 3 Key Laboratory of Network Oriented Intelligent Computation, Shenzhen, China, 4 Guangdong Industrial
+Training Center, Guangdong Polytechnic Normal University, Guangzhou, China, 5 College of Information and Communication Technology, Qufu Normal University, Rizhao,
+China, 6 School of Basic Science, East China Jiaotong University, Nanchang, China, 7 School of Urban Planning and Management, Harbin Institute of Technology Shenzhen
+Graduate School, Shenzhen, China, 8 Shenzhen Sunwin Intelligent Co., Ltd., Shenzhen, China"

+a8a30a8c50d9c4bb8e6d2dd84bc5b8b7f2c84dd8,This is a repository copy of Modelling of Orthogonal Craniofacial Profiles,"This is a repository copy of Modelling of Orthogonal Craniofacial Profiles.
+White Rose Research Online URL for this paper:
+http://eprints.whiterose.ac.uk/131767/
+Version: Published Version
+Article:
+Dai, Hang, Pears, Nicholas Edwin orcid.org/0000-0001-9513-5634 and Duncan, Christian
+(2017) Modelling of Orthogonal Craniofacial Profiles. Journal of Imaging. ISSN 2313-433X
+https://doi.org/10.3390/jimaging3040055
+Reuse
+This article is distributed under the terms of the Creative Commons Attribution (CC BY) licence. This licence
+llows you to distribute, remix, tweak, and build upon the work, even commercially, as long as you credit the
+uthors for the original work. More information and the full terms of the licence here:
+https://creativecommons.org/licenses/
+Takedown
+If you consider content in White Rose Research Online to be in breach of UK law, please notify us by
+emailing including the URL of the record and the reason for the withdrawal request.
+https://eprints.whiterose.ac.uk/"

+a8638a07465fe388ae5da0e8a68e62a4ee322d68,How to predict the global instantaneous feeling induced by a facial picture?,"How to predict the global instantaneous feeling induced
+y a facial picture?
+Arnaud Lienhard, Patricia Ladret, Alice Caplier
+To cite this version:
+Arnaud Lienhard, Patricia Ladret, Alice Caplier. How to predict the global instantaneous
+feeling induced by a facial picture?. Signal Processing: Image Communication, Elsevier, 2015,
+pp.1-30. .
+HAL Id: hal-01198718
+https://hal.archives-ouvertes.fr/hal-01198718
+Submitted on 14 Sep 2015
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+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"

+a8948941f7a24c09cd7c26f3635d8571c7998570,Face recognition of Pose and Illumination changes using Extended ASM and Robust sparse coding,"IOSR Journal of Dental and Medical Sciences (IOSR-JDMS)
+e-ISSN: 2279-0853, p-ISSN: 2279-0861.Volume 13, Issue 3 Ver. VI. (Mar. 2014), PP 49-54
+www.iosrjournals.org
+Face recognition of Pose and Illumination changes using
+Extended ASM and Robust sparse coding
+Arulmurugan R1, Laxmi Priya M.R2
+(Information Technology, Bannari Amman Institute of Technology, India)
+(Information Technology, Bannari Amman Institute of Technology, India)"

+a8e75978a5335fd3deb04572bb6ca43dbfad4738,Sparse Graphical Representation based Discriminant Analysis for Heterogeneous Face Recognition,"Sparse Graphical Representation based Discriminant
+Analysis for Heterogeneous Face Recognition
+Chunlei Peng, Xinbo Gao, Senior Member, IEEE, Nannan Wang, Member, IEEE, and Jie Li"

+a8f032b300b99dedb9c0f8362557302696d5ee9a,Intelligent Video Object Classification Scheme using Offline Feature Extraction and Machine Learning based Approach,"Intelligent Video Object Classification Scheme using Offline Feature Extraction and
+Machine Learning based Approach
+Chandra Mani Sharma1, Alok Kumar Singh Kushwaha2 ,Rakesh Roshan3 , Rabins Porwal4 and Ashish Khare5
+,3,4Department of Information Technology, Institute of Technology and Science
+Ghaziabad, U.P., India
+Department of Computer Engg. and Application, G.L.A. University,
+Mathura, U.P., India
+5 Department of Electronics and Communication, University of Allahabad,
+U.P., India"

+a8eeace37181dd87d5125c213add6e15fdd9d9f7,Approximate Fisher Kernels of Non-iid Image Models for Image Categorization,"Approximate Fisher Kernels of non-iid Image
+Models for Image Categorization
+Ramazan Gokberk Cinbis, Jakob Verbeek, and Cordelia Schmid, Fellow, IEEE"

+a81769a36c9ed7b6146a408eb253eb8e0d3ad41e,Super-Fine Attributes with Crowd Prototyping.,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Super-Fine Attributes
+with Crowd Prototyping
+Daniel Martinho-Corbishley, Mark S. Nixon and John N. Carter"

+ded968b97bd59465d5ccda4f1e441f24bac7ede5,Large scale 3 D Morphable Models,"Noname manuscript No.
+(will be inserted by the editor)
+Large scale 3D Morphable Models
+James Booth · Anastasios Roussos · Allan Ponniah · David Dunaway · Stefanos
+Zafeiriou
+Received: date / Accepted: date"

+de0eb358b890d92e8f67592c6e23f0e3b2ba3f66,Inference-Based Similarity Search in Randomized Montgomery Domains for Privacy-Preserving Biometric Identification,"ACCEPTED BY IEEE TRANS. PATTERN ANAL. AND MACH. INTELL.
+Inference-Based Similarity Search in
+Randomized Montgomery Domains for
+Privacy-Preserving Biometric Identification
+Yi Wang, Jianwu Wan, Jun Guo, Yiu-Ming Cheung, and Pong C Yuen"

+de87a5d5fbae0733806ba965b2d70fd04596f6e9,Predictive control for autonomous driving with experimental evaluation on a heavy-duty construction truck,"Predictive control for autonomous driving
+with experimental evaluation on a heavy-duty construction truck
+PEDRO F. LIMA
+Licenciate Thesis
+Stockholm, Sweden 2016"

+de86a9f484addcfee57a6f5a9224aa77bd23345b,Face Recognition Using Elastic Bunch Graph Matching,"International Journal For Technological Research In Engineering
+Volume 2, Issue 11, July-2015
+ISSN (Online): 2347 - 4718
+FACE RECOGNITION USING ELASTIC BUNCH GRAPH
+MATCHING
+Sandeep R1, D Jayakumar2
+Dept. of ECE, Kuppam Engineering College, Chittoor, Andhra Pradesh."

+de6ab8cd9d402c976082b707b1207c3ad49ae204,End-to-end Image Captioning Exploits Distributional Similarity in Multimodal Space,"MADHYASTHA ET AL.: IMAGE CAPTIONING EXPLOITS DISTRIBUTIONAL SIMILARITY 1
+End-to-end Image Captioning Exploits
+Multimodal Distributional Similarity
+Pranava Madhyastha
+Josiah Wang
+Lucia Specia
+Department of Computer Science
+The University of Sheffield
+Sheffield, UK"

+de99971e61613f174c9e5aa41a2c600399f59953,Pixel-wise Attentional Gating for Scene Parsing,"Pixel-wise Attentional Gating for Scene Parsing
+Department of Computer Science, University of California, Irvine, CA 92697, USA
+Shu Kong, Charless Fowlkes
+{skong2,"

+de724211683bb92931a5d80193e5dee31ca2e045,Sampling Design For Face Recognition,"Sampling Design For Face Recognition
+Yanjun Yan and Lisa A. Osadciw
+EECS, Syracuse University, Syracuse, NY, USA
+{yayan,"

+de2faaee4f1b2ecf23149995d0146347a13b9257,Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment,"Robust Unsupervised Domain Adaptation for Neural
+Networks via Moment Alignment
+Werner Zellingera,∗, Bernhard A. Moserb, Thomas Grubingerb, Edwin
+Lughofera, Thomas Natschl¨agerb, Susanne Saminger-Platza
+Johannes Kepler University, Linz, Austria
+Software Competence Center Hagenberg GmbH, Hagenberg, Austria"

+de309a1d10f819d69a4ef2c26d968d3b287c3dd5,Preprocessing and Feature Sets for Robust Face Recognition,"Preprocessing and Feature Sets for Robust Face Recognition
+Xiaoyang Tan and Bill Triggs
+LJK-INRIA, 655 avenue de l’Europe, Montbonnot 38330, France"

+dea749f087a8c9a9baa9167b4eaff50bd3eb9d16,Physically Grounded Spatio-temporal Object Affordances,"Physically Grounded Spatio-Temporal
+Object Affordances
+Hema S. Koppula and Ashutosh Saxena
+Department of Computer Science, Cornell University."

+de95fa1dd69a2d0d2b76539357062062f8b1e7b8,Face to Age,"Face to Age
+Project 1
+CS395T - Deep Learning Seminar
+Aishwarya Padmakumar, Ashish Bora, Amir Gholaminejad
+October 9, 2016
+A Century of Portraits is a dataset that contains frontal-facing American high school year-book photos
+with labels to indicate the years those photos were taken [2].
+In this project we train classifiers to
+predict the label, given the image. We used several Deep Neural Network architectures for this task,
+ll of which were finetuned with ImageNet pretraining. With VGGNet architecture, we demonstrate
+significant improvements in classification accuracy reporting test set accuracy of 67.59% and mean L1
+error, as compared to 11.31 % achieved by Ginosar et al. [2]. Further, we show some visualizations of
+the trained model to gain insights into the learned model. The code for this project can be found at
+https://github.com/AshishBora/face2year.
+Introduction
+Deep Neural networks have been central to large improvements in several visual learning tasks. Feature
+representations learned by deep convolutional neural networks for image classification on large datasets
+such as ImageNet [1] have been repeatedly demonstrated to be useful for other tasks [6]. Several down-
+stream applications have also greatly benefited from these representations, either when used directly
+[9, 10] or with appropriate finetuning [3, 5]."

+de0aaf8c6b5dea97327e8ef8060d9a708bf564af,A Benchmark for Iris Location and a Deep Learning Detector Evaluation,"A Benchmark for Iris Location and a Deep
+Learning Detector Evaluation
+Evair Severo∗, Rayson Laroca∗, Cides S. Bezerra∗, Luiz A. Zanlorensi∗,
+Daniel Weingaertner∗, Gladston Moreira† and David Menotti∗
+Postgraduate Program in Informatics, Federal University of Paran´a (UFPR), Curitiba, Paran´a, Brazil
+Computing Department, Federal University of Ouro Preto (UFOP), Ouro Preto, Minas Gerais, Brazil
+Email: {ebsevero, rblsantos, csbezerra, lazjunior, daniel,"

+dee406a7aaa0f4c9d64b7550e633d81bc66ff451,Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning,"Content-Adaptive Sketch Portrait Generation by
+Decompositional Representation Learning
+Dongyu Zhang, Liang Lin, Tianshui Chen, Xian Wu, Wenwei Tan, and Ebroul Izquierdo"

+dedbbb6e588e77969ab87571917d4f84a3b1722d,Multimodal Human-Human-Robot Interactions (MHHRI) Dataset for Studying Personality and Engagement,"JOURNAL OF IEEE TRANS. ON AFFECTIVE COMPUTING
+Multimodal Human-Human-Robot Interactions
+(MHHRI) Dataset for Studying Personality and
+Engagement
+Oya Celiktutan, Efstratios Skordos and Hatice Gunes"

+defcfed9c43bdf8a4388daade4899ef9d3345458,Sistema de reconocimiento multimodal de emociones relacionadas al aprendizaje en dispositivos móviles,"Sistema de reconocimiento multimodal de emociones
+relacionadas al aprendizaje en dispositivos móviles
+María Lucía Barrón-Estrada, Ramón Zatarain-Cabada,
+Claudia Guadalupe Aispuro-Gallegos
+Instituto Tecnológico de Culiacán, Culiacán, Sinaloa,
+México
+{lbarron, rzatarain,
+Resumen.  Gran  variedad  de  sistemas  reconocedores  de  emociones  han  sido
+implementados,  pero  pocos  han  logrado  aplicarse  en  el  mundo  real  debido  al
+elevado costo de la tecnología necesaria y al bajo porcentaje de efectividad del
+reconocimiento, cuando no se trabaja con emociones espontáneas. Este artículo
+presenta  la  implementación  de  un  sistema  de  reconocimiento  multimodal  de
+emociones  usando  dispositivos  móviles  y  la  creación  de  una  base  de  datos
+fectiva por medio de una aplicación móvil. El reconocedor puede ser integrado
+fácilmente a una aplicación educativa móvil para identificar las emociones de un
+usuario mientras éste interactúa con el dispositivo. Las emociones que el sistema
+reconoce son compromiso y aburrimiento. La base de datos afectiva fue creada
+on emociones espontáneas de estudiantes que interactuaron con una aplicación
+móvil  educativa  llamada  Duolingo  y  una  aplicación  móvil  recolectora  de
+información  llamada  EmoData.  El  sistema  desarrollado  tiene  un  porcentaje  de"

+dedabf9afe2ae4a1ace1279150e5f1d495e565da,Robust Face Recognition With Structurally Incoherent Low-Rank Matrix Decomposition,"Robust Face Recognition With Structurally
+Incoherent Low-Rank Matrix Decomposition
+Chia-Po Wei, Chih-Fan Chen, and Yu-Chiang Frank Wang"

+de7daa206f1dc3d5f83c5342fc08e3e92ddfa126,Index Codes for Multibiometric Pattern Retrieval,"Index Codes for Multibiometric Pattern Retrieval
+Aglika Gyaourova, Student Member, IEEE, and Arun Ross, Senior Member, IEEE"

+de7a148970881cbd4e6a12b6a014e3dfeee98cc9,D 4 h : Final report on WP 4,"D4h: Final report on WP4
+Workpackage 4 Deliverable
+Date: 30th January 2008"

+de398bd8b7b57a3362c0c677ba8bf9f1d8ade583,Hierarchical Bayesian Theme Models for Multipose Facial Expression Recognition,"Hierarchical Bayesian Theme Models for
+Multi-pose Facial Expression Recognition
+Qirong Mao, Member, IEEE, Qiyu Rao, Yongbin Yu, and Ming Dong*, Member, IEEE"

+def3b2254caea169c5cbc4b771c44f1773c004fd,Matching Adversarial Networks,"Matching Adversarial Networks
+Gell´ert M´attyus and Raquel Urtasun
+Uber Advanced Technologies Group and University of Toronto"

+defa8774d3c6ad46d4db4959d8510b44751361d8,FEBEI - Face Expression Based Emoticon Identification CS - B657 Computer Vision,"FEBEI - Face Expression Based Emoticon Identification
+CS - B657 Computer Vision
+Nethra Chandrasekaran Sashikar - necsashi
+Prashanth Kumar Murali - prmurali
+Robert J Henderson - rojahend"

+de48bb3a9974f6f1ed2aa36d066150015f9f8647,Ultrasound Image Despeckling using Local Binary Pattern Weighted Linear Filtering,"I.J. Information Technology and Computer Science, 2013, 06, 1-9
+Published Online May 2013 in MECS (http://www.mecs-press.org/)
+DOI: 10.5815/ijitcs.2013.06.01
+Ultrasound Image Despeckling using Local
+Binary Pattern Weighted Linear Filtering
+Digital Image Processing Lab, Dept. of Computer Applications, Cochin University of Science and Technology, Kerala,
+Simily Joseph, Kannan Balakrishnan
+E-mail: {simily.joseph,
+India
+M.R. Balachandran Nair
+Ernakulam Scan Center, Kerala, India
+E-mail:
+Reji Rajan Varghese
+Dept. of Biomedical Engineering, Co operative Medical College, Kerala, India
+E-mail:"

+de26c1560db47f63ef2dc8171d7c2c52369ffede,Mathematically inspired approaches to face recognition in uncontrolled conditions : super resolution and compressive sensing,"MATHEMATICALLY INSPIRED
+APPROACHES TO
+FACE RECOGNITION IN
+UNCONTROLLED CONDITIONS -
+SUPER RESOLUTION AND
+COMPRESSIVE SENSING
+NADIA AL-HASSAN
+Applied Computing Department
+The University of Buckingham / United Kingdom
+A Thesis
+Submitted for the Degree of Doctor of Philosophy in Mathematical
+Science to the school of Science and Medicine in the University of
+Buckingham
+September 2014"

+b0c3bc3e3ca143444f5193735f2aad89d1776276,Training Generative Reversible Networks,"Training Generative Reversible Networks
+Robin Tibor Schirrmeister 1 2 Patryk Chrab ˛aszcz 2 Frank Hutter 2 Tonio Ball 1"

+b08203fca1af7b95fda8aa3d29dcacd182375385,Object and Text-guided Semantics for CNN-based Activity Recognition,"OBJECT AND TEXT-GUIDED SEMANTICS FOR CNN-BASED ACTIVITY RECOGNITION
+(cid:63)Sungmin Eum †§, (cid:63)Christopher Reale †, Heesung Kwon†, Claire Bonial †, Clare Voss†
+U.S. Army Research Laboratory, Adelphi, MD, USA
+§Booz Allen Hamilton Inc., McLean, VA, USA"

+b04d4b1e8b510180726f49a66dbaaf23c9ef64a0,Introspective Generative Modeling: Decide Discriminatively,"Introspective Generative Modeling: Decide Discriminatively
+Justin Lazarow ∗
+Dept. of CSE
+Long Jin∗
+Dept. of CSE
+Zhuowen Tu
+Dept. of CogSci"

+b00796447d670f9413e831ffb4ed548a380816a2,Servoing across object instances: Visual servoing for object category,"Servoing Across Object Instances: Visual Servoing for Object Category
+Harit Pandya1, K Madhava Krishna1 and C. V. Jawahar1"

+b008d973ee93fd3b13d1148fb7533dbdbc8374d6,New Representations for Analyzing Motion and Applications,"New Representations for Analyzing Motion and Applications
+Ce Liu
+Submitted to the Department of Electrical Engineering and Computer Science in partial
+fulfillment of the requirements for the degree of
+Doctor of Philosophy
+Electrical Engineering and Computer Science
+t the Massachusetts Institute of Technology
+June 2009
+(cid:13) 2009 Massachusetts Institute of Technology
+All Rights Reserved.
+Signature of Author:
+Certified by:
+Accepted by:
+Department of Electrical Engineering and Computer Science
+May 1, 2009
+William T. Freeman, Professor of EECS
+Thesis Supervisor
+Terry P. Orlando, Professor of Electrical Engineering
+Chair, Department Committee on Graduate Students"

+b02342a423eef6e19f473eba26b067405b525f16,Co-occurrence matrix analysis-based semi-supervised training for object detection,"CO-OCCURRENCE MATRIX ANALYSIS-BASED SEMI-SUPERVISED TRAINING FOR
+OBJECT DETECTION
+Min-Kook Choi1, Jaehyeong Park1, Jihun Jung1, Heechul Jung2, Jin-Hee Lee1,
+Woong Jae Won1, Woo Young Jung1, Jincheol Kim3, and Soon Kwon1∗
+DGIST, Daegu, Republic of Korea1
+KAIST, Daejeon, Republic of Korea2
+SK Telecom, Seoul, Republic of Korea3"

+b0d607d5e9e79540c9f2673f2224b2d51be3393c,Kernel Truncated Regression Representation for Robust Subspace Clustering,"Kernel Truncated Regression Representation for
+Robust Subspace Clustering
+Liangli Zhen, Dezhong Peng, Xin Yao"

+b09b693708f412823053508578df289b8403100a,Two-Stream SR-CNNs for Action Recognition in Videos,"WANG et al.: TWO-STREAM SR-CNNS FOR ACTION RECOGNITION IN VIDEOS
+Two-Stream SR-CNNs for Action
+Recognition in Videos
+Yifan Wang1
+Jie Song1
+Limin Wang2
+Luc Van Gool2
+Otmar Hilliges1
+Advanced Interactive Technologies Lab
+ETH Zurich
+Zurich, Switzerland
+Computer Vision Lab
+ETH Zurich
+Zurich, Switzerland"

+b0a376888a33defd6fcfe396a11e6ea6d4f99f0e,Soft Measure of Visual Token Occurrences for Object Categorization,"Soft Measure of Visual Token Occurrences for
+Object Categorization
+Yanjie Wang, Xiabi Liu(cid:2), and Yunde Jia
+Beijing Laboratory of Intelligent Information Technology, School of Computer
+Science, Beijing Institute of Technology
+Tel.: +86-10-68913447, Fax: +86-10-86343158"

+b05ac3b2286c30fcab385f682b3519a823857112,UvA-DARE ( Digital Academic Repository ) Spatial frequency information modulates response inhibition and decision-making processes,"UvA-DARE (Digital Academic Repository)
+Spatial frequency information modulates response inhibition and decision-making
+processes
+Jahfari, S.; Ridderinkhof, K.R.; Scholte, H.S.
+Published in:
+PLoS One
+0.1371/journal.pone.0076467
+Link to publication
+Citation for published version (APA):
+Jahfari, S., Ridderinkhof, K. R., & Scholte, H. S. (2013). Spatial frequency information modulates response
+inhibition and decision-making processes. PLoS One, 8(10), e76467. [e76467]. DOI:
+0.1371/journal.pone.0076467
+General rights
+It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s),
+other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons).
+Disclaimer/Complaints regulations
+If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating
+your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask
+the Library: http://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam,
+The Netherlands. You will be contacted as soon as possible."

+b0fafe26b03243a22e12b021266872afdb96572c,Factors of Transferability for a Generic ConvNet Representation,"Factors of Transferability for a Generic ConvNet Representation
+Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, Atsuto Maki, Stefan Carlsson
+{azizpour, razavian, sullivan, atsuto,
+Computer Vision and Active Perception (CVAP), Royal Institute of Technology (KTH), Stockholm, SE-10044 Sweden
+Evidence is mounting that Convolutional Networks (ConvNets) are the most effective representation learning method for visual
+recognition tasks. In the common scenario, a ConvNet is trained on a large labeled dataset (source) and the feed-forward units
+ctivation of the trained network, at a certain layer of the network, is used as a generic representation of an input image for a
+task with relatively smaller training set (target). Recent studies have shown this form of representation transfer to be suitable for a
+wide range of target visual recognition tasks. This paper introduces and investigates several factors affecting the transferability of
+such representations. It includes parameters for training of the source ConvNet such as its architecture, distribution of the training
+data, etc. and also the parameters of feature extraction such as layer of the trained ConvNet, dimensionality reduction, etc. Then,
+y optimizing these factors, we show that significant improvements can be achieved on various (17) visual recognition tasks. We
+further show that these visual recognition tasks can be categorically ordered based on their distance from the source task such that
+correlation between the performance of tasks and their distance from the source task w.r.t. the proposed factors is observed.
+Index Terms—Convolutional Neural Networks, Transfer Learning, Representation Learning, Deep Learning, Visual Recognition
+I. INTRODUCTION
+C ONVOLUTIONAL NETWORKS (ConvNets) trace back
+to the early works on digit and character recognition
+[11], [23]. Prior to 2012, though, in computer vision field,
+neural networks were more renowned for their propensity to"

+b0d6e204c36f029300787f6334cb727325f8983a,Neural networks related to dysfunctional face processing in autism spectrum disorder,"Brain Struct Funct
+DOI 10.1007/s00429-014-0791-z
+O R I G I N A L A R T I C L E
+Neural networks related to dysfunctional face processing
+in autism spectrum disorder
+Thomas Nickl-Jockschat • Claudia Rottschy •
+Johanna Thommes • Frank Schneider •
+Angela R. Laird • Peter T. Fox • Simon B. Eickhoff
+Received: 6 September 2013 / Accepted: 28 April 2014
+Ó Springer-Verlag Berlin Heidelberg 2014"

+b07582d1a59a9c6f029d0d8328414c7bef64dca0,Employing Fusion of Learned and Handcrafted Features for Unconstrained Ear Recognition,"Employing Fusion of Learned and Handcrafted
+Features for Unconstrained Ear Recognition
+Maur´ıcio Pamplona Segundo∗†
+Earnest E. Hansley∗
+Sudeep Sarkar∗‡
+October 24, 2017"

+b0c651f23516055583060e2197756e1390455de5,Multimodal Verification of Identity for a Realistic Access Control Application,"Multimodal Verification of Identity for a
+Realistic Access Control Application
+Thesis submitted in partial fulfilment of the requirements for the degree
+Doctor Ingeneriae
+Mechanical Engineering
+Rand Afrikaans University
+Supervisor: Professor A.L. Nel
+Nele Denys
+t the
+May 2004"

+b0b628bda8a6c4267eeaf91420b8610400ff398f,Intact emotion facilitation for nonsocial stimuli in autism: is amygdala impairment in autism specific for social information?,"Journal of the International Neuropsychological Society (2008), 14, 42–54.
+Copyright © 2008 INS. Published by Cambridge University Press. Printed in the USA.
+DOI: 10.10170S1355617708080107
+Intact emotion facilitation for nonsocial stimuli in autism:
+Is amygdala impairment in autism specific
+for social information?
+MIKLE SOUTH,1,2 SALLY OZONOFF,3 YANA SUCHY,1,4 RAYMOND P. KESNER,1,4
+WILLIAM M. McMAHON,2,4 and JANET E. LAINHART2,4
+Department of Psychology, University of Utah, Salt Lake City, Utah
+Department of Psychiatry, University of Utah School of Medicine and Utah Autism Research Project, Salt Lake City, Utah
+M.I.N.D. Institute, Department of Psychiatry and Behavioral Sciences, University of California–Davis, Sacramento, California
+The Brain Institute at the University of Utah, Salt Lake City, Utah
+(Received April 25, 2007; Final Revision July 11, 2007; Accepted July 18, 2007)"

+b0c379f740292ad2cad2c990a445f69167e18894,Knowledge distillation using unlabeled mismatched images,"Workshop track - ICLR 2017
+KNOWLEDGE DISTILLATION USING UNLABELED MIS-
+MATCHED IMAGES
+Mandar Kulkarni(*), Kalpesh Patil(**), Shirish Karande(*)
+TCS Innovation Labs, Pune, India (*), IIT Bombay, Mumbai, India(**)"

+b0771b7ca52022b37a563464f823af67c0b36c03,Image Retrieval Technique Using Local Binary Pattern (LBP),"International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Index Copernicus Value (2013): 6.14 | Impact Factor (2013): 4.438
+Image Retrieval Technique Using Local Binary
+Pattern (LBP)
+Miss. Priyanka Pawar1, P.P.Belagali2
+P.G Student, Department of Electronics Engineering, Shivaji University, Dr.J.J.M.C.O.E Jaysingpur, Kolhapur, India
+Associate Professor, Department of Electronics Engineering, Shivaji University, Dr.J.J.M.C.O.E Jaysingpur, Kolhapur, India"

+b07546f26a99b61c5045e313bc024b0fe7de590a,Bilinear CNNs for Fine-grained Visual Recognition,"Bilinear CNNs for Fine-grained Visual
+Recognition
+Tsung-Yu Lin
+Aruni RoyChowdhury
+Subhransu Maji"

+b0c1615ebcad516b5a26d45be58068673e2ff217,How Image Degradations Affect Deep CNN-Based Face Recognition?,"How Image Degradations Affect Deep CNN-based Face
+Recognition?
+S¸amil Karahan1 Merve Kılınc¸ Yıldırım1 Kadir Kırtac¸1 Ferhat S¸ ¨ukr¨u Rende1
+G¨ultekin B¨ut¨un1Hazım Kemal Ekenel2"

+b0de0892d2092c8c70aa22500fed31aa7eb4dd3f,A Robust and Efficient Video Representation for Action Recognition,"(will be inserted by the editor)
+A robust and efficient video representation for action recognition
+Heng Wang · Dan Oneata · Jakob Verbeek · Cordelia Schmid
+Received: date / Accepted: date"

+b0623c1d8493d273d704ba1d0413db0de579ae77,Attributes-Based Re-identification,"Attributes-based Re-Identification
+Ryan Layne, Timothy M. Hospedales and Shaogang Gong"

+b0158b26f01d5fa18aac51ece055cad9a12f6d87,Memory-based Gait Recognition,"Pages 82.1-82.12
+DOI: https://dx.doi.org/10.5244/C.30.82"

+b0e7c177084be76fb73df3c4bcf1846676a2d615,Joint action recognition and pose estimation from video,"Joint Action Recognition and Pose Estimation From Video
+Bruce Xiaohan Nie, Caiming Xiong and Song-Chun Zhu
+Center for Vision, Cognition, Learning and Art
+University of California, Los Angeles, USA"

+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"

+b03d5ed5b3f253703fa37d6445fab0e7cdf38ba1,Separate-Group Covariance Estimation With Insufficient Data for Object Recognition,"Separate-Group Covariance Estimation With Insufficient Data for
+Object Recognition
+Carlos Eduardo Thomaz1, Raul Queiroz Feitosa2, Álvaro Veiga3
+,2,3Catholic University of Rio de Janeiro
+Department of Electrical Engineering
+Department of Computer Engineering
+University of Rio de Janeiro
+r. Marquês de São Vicente 225,22453-900, Rio de
+r. São Francisco Xavier, 524, 20559-900, Rio de
+Janeiro, Brazil
+Janeiro, Brazil"

+a6e7513371a49cd7b8b30bb444e8fc448c5326cb,Simple online and realtime tracking,"SIMPLE ONLINE AND REALTIME TRACKING
+Alex Bewley†, Zongyuan Ge†, Lionel Ott(cid:5), Fabio Ramos(cid:5), Ben Upcroft†
+Queensland University of Technology†, University of Sydney(cid:5)"

+a66373beaad40fb5a8e2e1b42c5a2213b166a55c,Childhood abuse is related to working memory impairment for positive emotion in female university students.,"Childhood abuse is related to working memory impairment for positive
+emotion in female university students
+Cromheeke S, Herpoel LA, Mueller SC.
+014; 19(1):38-48
+ARTICLE IDENTIFIERS
+DOI: 10.1177/1077559513511522
+PMID: 24271026
+PMCID: not available
+JOURNAL IDENTIFIERS
+LCCN: not available
+pISSN: 1077-5595
+eISSN: 1552-6119
+OCLC ID: 30832620
+CONS ID: sn 94001296
+US National Library of Medicine ID: 9602869
+This article was identified from a query of the SafetyLit database.
+Powered by TCPDF (www.tcpdf.org)"

+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
+{radu.timofte,"

+a62ca056821a3179b116662b28338433ba5b5e7d,How far can we go without convolution: Improving fully-connected networks,"Under review as a conference paper at ICLR 2016
+HOW FAR CAN WE GO WITHOUT CONVOLUTION: IM-
+PROVING FULLY-CONNECTED NETWORKS
+Zhouhan Lin & Roland Memisevic
+Universit´e de Montr´eal
+Canada
+{zhouhan.lin,
+Kishore Konda
+Goethe University Frankfurt
+Germany"

+a649bc66524e5e61e4d34cc00159099b6b58db2f,Large-Scale Image Geolocalization,"Chapter 3
+Large-Scale Image Geolocalization
+James Hays and Alexei A. Efros"

+a65c76169bdb8479353806556f61bf94fdec7e10,Online Object Tracking With Sparse Prototypes,"Online Object Tracking With Sparse Prototypes
+Dong Wang, Huchuan Lu, Member, IEEE, and Ming-Hsuan Yang, Senior Member, IEEE"

+a6f477f3c1cb2ab230fe8d89c31ae6af0b9c2346,Relevance Subject Machine: A Novel Person Re-identification Framework,"Relevance Subject Machine: A Novel Person
+Re-identification Framework
+Igor Fedorov, Student Member, IEEE, Ritwik Giri, Student Member, IEEE, Bhaskar D. Rao, Fellow, IEEE,
+Truong Q. Nguyen, Fellow, IEEE"

+a63638b26d36bab8db10bd95fb287c727bab33ec,Joint Sparse and Low-Rank Representation for Emotion Recognition,"MAY 2014
+Joint Sparse and Low-Rank Representation for
+Emotion Recognition
+Xiang Xiang, Fabian Prada, Hao Jiang"

+a60146c458adfe9207f015d7a77cb7dfb54f744f,Understanding Dynamic Social Grouping Behaviors of Pedestrians,"Understanding Dynamic Social Grouping
+Behaviors of Pedestrians
+Linan Feng, Student Member, IEEE, and Bir Bhanu, Fellow, IEEE"

+a608c5f8fd42af6e9bd332ab516c8c2af7063c61,Age Estimation via Grouping and Decision Fusion,"Age Estimation via Grouping and Decision Fusion
+Kuan-Hsien Liu, Member, IEEE, Shuicheng Yan, Senior Member, IEEE,
+nd C.-C. Jay Kuo, Fellow, IEEE"

+a6eb6ad9142130406fb4ffd4d60e8348c2442c29,"Video Description: A Survey of Methods, Datasets and Evaluation Metrics","Video Description: A Survey of Methods,
+Datasets and Evaluation Metrics
+Nayyer Aafaq, Syed Zulqarnain Gilani, Wei Liu, and Ajmal Mian"

+a65e953df1dbc007862f8eaa8c12ceb225d15837,Robust Head-shoulder Detection using Deformable Part-based Models,"Robust Head-shoulder Detection using Deformable Part-based Models
+Enes Dayangac, Christian Wiede, Julia Richter and Gangolf Hirtz
+Faculty of Electrical Engineering and Information Technology, Technische Universit¨at Chemnitz,
+Chemnitz, Germany
+Keywords:
+Person Detection, Head-shoulder Detection, Ambient Assisted Living, Latent SVM, DPM, ACF-Detector."

+a618cc9c513762d4eb5db2f7f7b686e7e2b758ca,Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction,"Learning Semi-Riemannian Metrics
+for Semisupervised Feature Extraction
+Wei Zhang, Zhouchen Lin, Senior Member, IEEE, and Xiaoou Tang, Fellow, IEEE"

+a67e7ca0c7e1e3020169b5c59dc492e9f62f0022,3d Face Recognition Performance under Adversarial Conditions,

+a6404e91af8d1644aa7eea307ffceefa715dd7ea,Human Motion Capture Using a Drone,"Human Motion Capture Using a Drone
+Xiaowei Zhou, Sikang Liu, Georgios Pavlakos, Vijay Kumar, Kostas Daniilidis"

+a67d54cf585c9491ab8a3e2d58d9c4b223359602,Spatial information and end-to-end learning for visual recognition. (Informations spatiales et apprentissage bout-en-bout pour la reconnaissance visuelle),"Spatial information and end-to-end learning for visual
+recognition
+Mingyuan Jiu
+To cite this version:
+Mingyuan Jiu. Spatial information and end-to-end learning for visual recognition. Computer Science
+[cs]. INSA de Lyon, 2014. English. <NNT : 2014ISAL0038>. <tel-01127462>
+HAL Id: tel-01127462
+https://tel.archives-ouvertes.fr/tel-01127462
+Submitted on 7 Mar 2015
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de
+recherche français ou étrangers, des laboratoires"

+a6a6cfae45e8633c01793debf43592b7d515f65d,From ImageNet to Mining: Adapting Visual Object Detection with Minimal Supervision,"From ImageNet to Mining: Adapting Visual
+Object Detection with Minimal Supervision
+Alex Bewley and Ben Upcroft"

+a6590c49e44aa4975b2b0152ee21ac8af3097d80,3D Interpreter Networks for Viewer-Centered Wireframe Modeling,"https://doi.org/10.1007/s11263-018-1074-6
+D Interpreter Networks for Viewer-Centered Wireframe Modeling
+Jiajun Wu1 · Tianfan Xue2 · Joseph J. Lim3 · Yuandong Tian4 ·
+Joshua B. Tenenbaum1 · Antonio Torralba1 · William T. Freeman1,5
+Received: date / Accepted: date"

+a694180a683f7f4361042c61648aa97d222602db,Face recognition using scattering wavelet under Illicit Drug Abuse variations,"Face Recognition using Scattering Wavelet under Illicit Drug Abuse Variations
+Prateekshit Pandey, Richa Singh, Mayank Vatsa
+fprateekshit12078, rsingh,
+IIIT-Delhi India"

+a6ce2f0795839d9c2543d64a08e043695887e0eb,Driver Gaze Region Estimation Without Using Eye Movement,"Driver Gaze Region Estimation
+Without Using Eye Movement
+Lex Fridman, Philipp Langhans, Joonbum Lee, and Bryan Reimer
+Massachusetts Institute of Technology (MIT)"

+a6161e53d77d7cbd6e69d1b84e6d03d7041cb93e,Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime,"Dark Model Adaptation: Semantic Image Segmentation from Daytime
+to Nighttime
+Dengxin Dai1 and Luc Van Gool1,2"

+a6eb8cb1c35d0f53f8d2c9a404e374c01275544b,NovaSearch on Medical ImageCLEF 2013,"NovaSearch on medical ImageCLEF 2013
+Andr´e Mour˜ao, Fl´avio Martins and Jo˜ao Magalh˜aes
+Universidade Nova de Lisboa, Faculdade de Ciˆencias e Tecnologia,
+Caparica, Portugal,"

+a6ebe013b639f0f79def4c219f585b8a012be04f,Facial Expression Recognition Based on Hybrid Approach,"Facial Expression Recognition Based on Hybrid
+Approach
+Md. Abdul Mannan, Antony Lam, Yoshinori Kobayashi, and Yoshinori Kuno
+Graduate School of Science and Engineering, Saitama University,
+55 Shimo-Okubo, Sakura-ku, Saitama-shi, Saitama 338-8570, Japan
+E-mail"

+a6574d111bfb12d6a9988bdbbf24639d3c4534ec,Image denoising: Can plain neural networks compete with BM3D?,"Image denoising: Can plain Neural Networks compete with BM3D?
+Harold C. Burger, Christian J. Schuler, and Stefan Harmeling
+Max Planck Institute for Intelligent Systems, T¨ubingen, Germany
+http://people.tuebingen.mpg.de/burger/neural_denoising/"

+b98aec5bbe7116fa3ae5f9b4d77cb1f1141eaabd,Appearance-Based 3D Upper-Body Pose Estimation and Person Re-identification on Mobile Robots,"Appearance-Based 3D Upper-Body Pose Estimation
+nd Person Re-Identification on Mobile Robots
+Christoph Weinrich, Michael Volkhardt, Horst-Michael Gross
+Neuroinformatics and Cognitive Robotics Lab
+Ilmenau University of Technology
+Ilmenau, Germany"

+b9bd9cab426f4d4a0b0d0077f6d9dca2ec01ce3c,Propositionalisation of Multi-instance Data Using Random Forests,"Propositionalisation of Multi-instance Data
+using Random Forests
+Eibe Frank and Bernhard Pfahringer
+Department of Computer Science, University of Waikato"

+b9953824b3d4cd2be77ecbc5db3f7dec3dfa031e,Guided Attention for Large Scale Scene Text Verification,"Large Scale Scene Text Verification with Guided
+Attention
+Dafang He1(cid:63), Yeqing Li2∗, Alexander Gorban2, Derrall Heath2, Julian Ibarz2,
+Qian Yu2, Daniel Kifer1, C. Lee Giles1
+The Pennsylvania State University1, Google Inc2."

+b9fb66f09b358a4ce167b54eed8c596772a392d9,Modal Regression based Atomic Representation for Robust Face Recognition,"Modal Regression based Atomic Representation for
+Robust Face Recognition
+Yulong Wang, Yuan Yan Tang, Life Fellow, IEEE, Luoqing Li, and Hong Chen"

+b9696bdba6e16959258bad17ce26e6a643be5faf,Using Photometric Stereo for Face Recognition,"International Journal of Bio-Science and Bio-Technology
+Vol. 3, No. 3, September, 2011
+Using Photometric Stereo for Face Recognition
+Gary A. Atkinson and Melvyn L. Smith
+University of the West of England, Bristol, BS16 1QY, UK"

+b97f694c2a111b5b1724eefd63c8d64c8e19f6c9,Group Affect Prediction Using Multimodal Distributions,"Group Affect Prediction Using Multimodal Distributions
+Saqib Nizam Shamsi
+Aspiring Minds
+Bhanu Pratap Singh
+Univeristy of Massachusetts, Amherst
+Manya Wadhwa
+Johns Hopkins University"

+b94e57ee9278f06c65a96ce1b586cb7a5b2b7fbb,Group Re-identification via Unsupervised Transfer of Sparse Features Encoding,"Group Re-Identification via
+Unsupervised Transfer of Sparse Features Encoding
+Giuseppe Lisanti∗,1, Niki Martinel∗,2, Alberto Del Bimbo1 and Gian Luca Foresti2
+MICC - University of Firenze, Italy
+AViReS Lab - University of Udine, Italy"

+b9305c065b3c95fd0844d16a09fb9cc7c321cf58,Detecting Humans in Dense Crowds Using Locally-Consistent Scale Prior and Global Occlusion Reasoning,"Detecting Humans in Dense Crowds Using
+Locally-Consistent Scale Prior and Global
+Occlusion Reasoning
+Haroon Idrees, Member, IEEE, Khurram Soomro, Member, IEEE, and Mubarak Shah, Fellow, IEEE"

+b9d0774b0321a5cfc75471b62c8c5ef6c15527f5,Fishy Faces: Crafting Adversarial Images to Poison Face Authentication,"Fishy Faces: Crafting Adversarial Images to Poison Face Authentication
+Giuseppe Garofalo
+Vera Rimmer
+Tim Van hamme
+imec-DistriNet, KU Leuven
+imec-DistriNet, KU Leuven
+imec-DistriNet, KU Leuven
+Davy Preuveneers
+Wouter Joosen
+imec-DistriNet, KU Leuven
+imec-DistriNet, KU Leuven"

+b9cad920a00fc0e997fc24396872e03f13c0bb9c,Face liveness detection under bad illumination conditions,"FACE LIVENESS DETECTION UNDER BAD ILLUMINATION CONDITIONS
+Bruno Peixoto, Carolina Michelassi, and Anderson Rocha
+University of Campinas (Unicamp)
+Campinas, SP, Brazil"

+b908edadad58c604a1e4b431f69ac8ded350589a,Deep Face Feature for Face Alignment,"Deep Face Feature for Face Alignment
+Boyi Jiang, Juyong Zhang, Bailin Deng, Yudong Guo and Ligang Liu"

+b9f2a755940353549e55690437eb7e13ea226bbf,Unsupervised Feature Learning from Videos for Discovering and Recognizing Actions,"Unsupervised Feature Learning from Videos for Discovering and Recognizing Actions
+Carolina Redondo-Cabrera
+Roberto J. López-Sastre"

+b9e82ee9bb4cf016b5ed44b7acd2b42e1a5a6be2,Face recognition by applying wavelet subband representation and kernel associative memory,"Face Recognition by Applying Wavelet Subband
+Representation and Kernel Associative Memory
+Bai-Ling Zhang, Haihong Zhang, and Shuzhi Sam Ge, Senior Member, IEEE"

+b941d4a85be783a6883b7d41c1afa7a9db451831,Radiofrequency ablation planning for cardiac arrhythmia treatment using modeling and machine learning approaches,"Radiofrequency ablation planning for cardiac
+rrhythmia treatment using modeling and machine
+learning approaches
+Roc´ıo Cabrera Lozoya
+To cite this version:
+Roc´ıo Cabrera Lozoya. Radiofrequency ablation planning for cardiac arrhythmia treatment
+using modeling and machine learning approaches. Other. Universit´e Nice Sophia Antipolis,
+015. English. <NNT : 2015NICE4059>. <tel-01206478v2>
+HAL Id: tel-01206478
+https://tel.archives-ouvertes.fr/tel-01206478v2
+Submitted on 15 Dec 2015
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destin´ee au d´epˆot et `a la diffusion de documents
+scientifiques de niveau recherche, publi´es ou non,"

+b9b7b37d7edf4482a6f440e282c3418ab1913afa,ThiNet: Pruning CNN Filters for a Thinner Net.,"ACCEPTED BY IEEE TRANS. PAMI
+ThiNet: Pruning CNN Filters for a Thinner Net
+Jian-Hao Luo, Hao Zhang, Hong-Yu Zhou, Chen-Wei Xie, Jianxin Wu, Member, IEEE,
+nd Weiyao Lin, Senior Member, IEEE"

+b92a057606a47eb7de6ecc180e4dbf53c4a8d4b7,Face Recognition Based on 2D and 3D Features,"Face Recognition Based on 2D and 3D Features
+Stefano Arca, Ra(cid:11)aella Lanzarotti, and Giuseppe Lipori
+Dipartimento di Scienze dell’Informazione
+Universit(cid:18)a degli Studi di Milano
+Via Comelico, 39/41 20135 Milano, Italy
+farca, lanzarotti,"

+b9cedd1960d5c025be55ade0a0aa81b75a6efa61,Inexact Krylov Subspace Algorithms for Large Matrix Exponential Eigenproblem from Dimensionality Reduction,"INEXACT KRYLOV SUBSPACE ALGORITHMS FOR LARGE
+MATRIX EXPONENTIAL EIGENPROBLEM FROM
+DIMENSIONALITY REDUCTION
+GANG WU∗, TING-TING FENG† , LI-JIA ZHANG‡ , AND MENG YANG§"

+b95acfe00686cc6f6526fcd1f30b6f38061d3a29,Revisiting Multiple-Instance Learning Via Embedded Instance Selection,"Revisiting Multiple-Instance Learning via
+Embedded Instance Selection
+James Foulds and Eibe Frank
+Department of Computer Science, University of Waikato, New Zealand"

+b971266b29fcecf1d5efe1c4dcdc2355cb188ab0,On the Reconstruction of Face Images from Deep Face Templates.,"MAI et al.: ON THE RECONSTRUCTION OF FACE IMAGES FROM DEEP FACE TEMPLATES
+On the Reconstruction of Face Images from
+Deep Face Templates
+Guangcan Mai, Kai Cao, Pong C. Yuen∗, Senior Member, IEEE, and Anil K. Jain, Life Fellow, IEEE"

+a14260cd8c607afc6a9bd0c4df2ee22162e6d8c0,Discriminative Dictionary Learning With Ranking Metric Embedded for Person Re-Identification,Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)

+a13a4e4cc8f4744b40668fe7cca660ae0e88537d,Explorer Multi 30 K : Multilingual English-German Image Descriptions,"Multi30K: Multilingual English-German Image Descriptions
+Citation for published version:
+Elliott, D, Frank, S, Sima'an, K & Specia, L 2016, Multi30K: Multilingual English-German Image
+Descriptions. in Proceedings of the 5th Workshop on Vision and Language, hosted by the 54th Annual
+Meeting of the Association for Computational Linguistics, 2016, August 12, Berlin, Germany.
+Association for Computational Linguistics (ACL), pp. 70-74.
+Link:
+Link to publication record in Edinburgh Research Explorer
+Document Version:
+Publisher's PDF, also known as Version of record
+Published In:
+Proceedings of the 5th Workshop on Vision and Language, hosted by the 54th Annual Meeting of the
+Association for Computational Linguistics, 2016, August 12, Berlin, Germany
+General rights
+Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s)
+nd / or other copyright owners and it is a condition of accessing these publications that users recognise and
+bide by the legal requirements associated with these rights.
+Take down policy
+The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer
+ontent complies with UK legislation. If you believe that the public display of this file breaches copyright please"

+a11600deb182677f4fe586fcea59f10d032a6c6f,Active Appearance Models with Rotation Invariant Kernels,"Active Appearance Models with Rotation Invariant Kernels
+Onur C. Hamsici and Aleix M. Martinez
+Department of Electrical and Computer Engineering
+Ohio State University, Columbus, OH 43210"

+a158c1e2993ac90a90326881dd5cb0996c20d4f3,Symmetry as an Intrinsically Dynamic Feature,"OPEN ACCESS
+ISSN 2073-8994
+Article
+Vito Di Gesu 1,2,†, Marco E. Tabacchi 1,3,* and Bertrand Zavidovique 4
+DMA, Università degli Studi di Palermo, via Archirafi 34, 90123 Palermo, Italy
+CITC, Università degli Studi di Palermo, via Archirafi 34, 90123 Palermo, Itlay
+Istituto Nazionale di Ricerche Demopolis, via Col. Romey 7, 91100 Trapani, Italy
+IEF, Université Paris IX–Orsay, Paris, France; E-Mail: (B.Z.)
+Deceased on 15 March 2009.
+* Author to whom correspondence should be addressed; E-Mail:
+Received: 4 March 2010; in revised form: 23 March 2010 / Accepted: 29 March 2010 /
+Published: 1 April 2010"

+a1e198454bd0868b4da9bca7a35218dd235cfdda,3d‐facial Expression Synthesis and Its Application to Face Recognition Systems,"D‐Facial Expression Synthesis and its Application to Face Recognition Systems
+Leonel Ramírez‐Valdez1, Rogelio Hasimoto‐Beltran2
+,2Centro de Investigación en Matemáticas(CIMAT)
+Jalisco s/n, Col. Mineral de Valenciana, Guanajuato, Gto., México 36240"

+a15f4e3adb56dbbdd6f922489efef48fc5efa003,Grounding Semantic Roles in Images,"Grounding Semantic Roles in Images
+Carina Silberer†♣
+Manfred Pinkal†
+Department of Computational Linguistics
+Saarland University, Saarbr¨ucken, Germany
+♣Universitat Pompeu Fabra
+Barcelona, Spain"

+a15d9d2ed035f21e13b688a78412cb7b5a04c469,Object Detection Using Strongly-Supervised Deformable Part Models,"Object Detection Using
+Strongly-Supervised Deformable Part Models
+Hossein Azizpour1 and Ivan Laptev2
+Computer Vision and Active Perception Laboratory (CVAP), KTH, Sweden
+INRIA, WILLOW, Laboratoire d’Informatique de l’Ecole Normale Superieure"

+a1b1442198f29072e907ed8cb02a064493737158,Crowdsourcing Facial Responses to Online Videos,"Crowdsourcing Facial Responses
+to Online Videos
+Daniel McDuff, Student Member, IEEE, Rana El Kaliouby, Member, IEEE, and
+Rosalind W. Picard, Fellow, IEEE"

+a125bc46fee1bd170a0654b8856d3b78d62e9d29,Learning weighted sparse representation of encoded facial normal information for expression-robust 3D face recognition,"Learning Weighted Sparse Representation of Encoded Facial Normal
+Information for Expression-Robust 3D Face Recognition
+Huibin Li1,2, Di Huang1,2, Jean-Marie Morvan1,3,4, Liming Chen1,2
+Universit´e de Lyon, CNRS, 2Ecole Centrale de Lyon, LIRIS UMR5205, F-69134, Lyon, France
+Universit´e Lyon 1, Institut Camille Jordan, 43 blvd. du 11 Nov. 1918, F-69622 Villeurbanne - Cedex, France
+King Abdullah University of Science and Technology, GMSV Research Center, Bldg 1, Thuwal 23955-6900, Saudi Arabia"

+a175f20189f028a1420b76ae42f6dfe99d8d6847,Where and Why Are They Looking ? Jointly Inferring Human Attention and Intentions in Complex Tasks,"Where and Why Are They Looking? Jointly Inferring Human Attention and
+Intentions in Complex Tasks
+Ping Wei1,2, Yang Liu2, Tianmin Shu2, Nanning Zheng1, and Song-Chun Zhu2
+School of Electronic and Information Engineering, Xi’an Jiaotong University, China
+Center for Vision, Cognition, Learning, and Autonomy, University of California, Los Angeles"

+a102edaa9fd458316637ce51a0b7aba2ee651637,Learning Human Poses from Actions,"ADITYA, JAWAHAR, PAWAN: LEARNING HUMAN POSES FROM ACTIONS
+Learning Human Poses from Actions
+IIIT Hyderabad
+University of Oxford &
+The Alan Turing Institute
+Aditya Arun1
+C.V. Jawahar1
+M. Pawan Kumar2"

+a1aac8e95cd262f974b26374ec8fe35c0f000185,Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning,"IJCV manuscript No.
+(will be inserted by the editor)
+Transferrable Feature and Projection Learning with Class Hierarchy for
+Zero-Shot Learning
+Aoxue Li · Zhiwu Lu · Jiechao Guan · Tao Xiang · Liwei Wang · Ji-Rong Wen
+Received: date / Accepted: date"

+a15c728d008801f5ffc7898568097bbeac8270a4,ForgetIT Deliverable Template,"www.forgetit-project.eu
+ForgetIT
+Concise Preservation by Combining Managed Forgetting
+nd Contextualized Remembering
+Grant Agreement No. 600826
+Deliverable D4.4
+Work-package
+Deliverable
+Deliverable Leader
+Quality Assessor
+Dissemination level
+Delivery date in Annex I
+Actual delivery date
+Revisions
+Status
+Keywords
+Information Consolidation and Con-
+entration
+D4.4:
+Information analysis, consolidation"

+a1e1bd4dacddc703a236681e987a09601ee1016d,Embedding Visual Hierarchy With Deep Networks for Large-Scale Visual Recognition,"Embedding Visual Hierarchy with Deep Networks
+for Large-Scale Visual Recognition
+Tianyi Zhao, Baopeng Zhang, Wei Zhang, Ning Zhou, Jun Yu, Jianping Fan"

+a19f08d7b1ce8b451df67ec125dd9254b5a05d95,3D Face Recognition Using Multiview Keypoint Matching,"009 Advanced Video and Signal Based Surveillance
+D Face Recognition Using Multiview Keypoint Matching
+Michael Mayo, Edmond Zhang
+Department of Computer Science, University of Waikato, New Zealand
+{mmayo,"

+a1669fa7d3d8f0c0cafe770c79007949cd32b245,Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly,"TPAMI SUBMISSION
+Deep Metric Learning with BIER:
+Boosting Independent Embeddings Robustly
+Michael Opitz, Georg Waltner, Horst Possegger, and Horst Bischof"

+a147cec1434753777b3651101bdbda1489b09fd4,Individual differences in shifting decision criterion: a recognition memory study.,"Mem Cogn (2012) 40:1016–1030
+DOI 10.3758/s13421-012-0204-6
+Individual differences in shifting decision criterion:
+A recognition memory study
+Elissa M. Aminoff & David Clewett & Scott Freeman &
+Amy Frithsen & Christine Tipper & Arianne Johnson &
+Scott T. Grafton & Michael B. Miller
+Published online: 4 May 2012
+# Psychonomic Society, Inc. 2012"

+a157ebc849d57ccff00a52a68b24e4ac8eba9536,The Contextual Loss for Image Transformation with Non-aligned Data,"The Contextual Loss for Image Transformation
+with Non-Aligned Data
+Roey Mechrez(cid:63) , Itamar Talmi(cid:63), Lihi Zelnik-Manor
+Technion - Israel Institute of Technology
+Fig. 1. Our Contextual loss is effective for many image transformation tasks: It can
+make a Trump cartoon imitate Ray Kurzweil, give Obama some of Hillary’s features,
+nd, turn women more masculine or men more feminine. Mutual to these tasks is the
+bsence of ground-truth targets that can be compared pixel-to-pixel to the generated
+images. The Contextual loss provides a simple solution to all of these tasks."

+a1132e2638a8abd08bdf7fc4884804dd6654fa63,Real-Time Video Face Recognition for Embedded Devices,"Real-Time Video Face Recognition
+for Embedded Devices
+Gabriel Costache, Sathish Mangapuram, Alexandru
+Drimbarean, Petronel Bigioi and Peter Corcoran
+Tessera, Galway,
+Ireland
+. Introduction
+This  chapter  will  address  the  challenges  of  real-time  video  face  recognition  systems
+implemented  in  embedded  devices.  Topics  to  be  covered  include:  the  importance  and
+hallenges of video face recognition in real life scenarios, describing a general architecture of
+generic  video  face  recognition  system  and  a  working  solution  suitable  for  recognizing
+faces  in  real-time  using  low  complexity  devices.  Each  component  of  the  system  will  be
+described  together  with  the  system’s  performance  on  a  database  of  video  samples  that
+resembles real life conditions.
+. Video face recognition
+Face recognition remains a very active topic in computer vision and receives attention from
+large  community  of  researchers  in  that  discipline.  Many  reasons  feed  this  interest;  the
+main being  the wide range of commercial, law enforcement and security applications that
+require  authentication.  The  progress  made  in  recent  years  on  the  methods  and  algorithms
+for data processing as well as the availability of new technologies makes it easier to study"

+a19de85fa1533a1a1929b98b5fc3b1fb618dc668,Towards Improving Abstractive Summarization via Entailment Generation,

+a15663e0c0a2427ac4da5161e4ed75d331a5a2be,Streaming spectral clustering,"Streaming Spectral Clustering
+Shinjae Yoo
+Computational Science Center
+Brookhaven National Laboratory
+Upton, New York 11973-5000
+Email:
+Hao Huang
+Machine Learning Laboratory
+General Electric Global Research
+San Ramon, CA 94583
+Email:
+Shiva Prasad Kasiviswanathan
+Samsung Research America
+Mountain View, CA 94043
+Email:"

+a14ae81609d09fed217aa12a4df9466553db4859,Face Identification Using Large Feature Sets,"REVISED VERSION, JUNE 2011
+Face Identification Using Large Feature Sets
+William Robson Schwartz, Huimin Guo, Jonghyun Choi, and Larry S. Davis, Fellow, IEEE"

+a1f1120653bb1bd8bd4bc9616f85fdc97f8ce892,Latent Embeddings for Zero-Shot Classification,"Latent Embeddings for Zero-shot Classification
+Yongqin Xian1, Zeynep Akata1, Gaurav Sharma1,2,∗, Quynh Nguyen3, Matthias Hein3 and Bernt Schiele1
+MPI for Informatics
+IIT Kanpur
+Saarland University"

+a10f734e30d8dcb8506c9ea5b1074e6c668904e2,Learning Features and Parts for Fine-Grained Recognition,"Learning Features and Parts for Fine-Grained
+Recognition
+(Invited Paper)
+Jonathan Krause∗, Timnit Gebru∗, Jia Deng †, Li-Jia Li ‡, Li Fei-Fei∗
+Stanford University: {jkrause, tgebru,
+University of Michigan:
+Yahoo! Research:"

+a1af05502eac70296ee22e5ab7e066420f5fe447,A Probabilistic Approach for Breast Boundary Extraction in Mammograms,"Hindawi Publishing Corporation
+Computational and Mathematical Methods in Medicine
+Volume 2013, Article ID 408595, 19 pages
+http://dx.doi.org/10.1155/2013/408595
+Research Article
+A Probabilistic Approach for Breast Boundary
+Extraction in Mammograms
+Hamed Habibi Aghdam, Domenec Puig, and Agusti Solanas
+Department of Computer Engineering and Mathematics, Rovira i Virgili University, 43007 Tarragona, Spain
+Correspondence should be addressed to Domenec Puig;
+Received 31 May 2013; Revised 21 August 2013; Accepted 16 September 2013
+Academic Editor: Reinoud Maex
+Copyright © 2013 Hamed Habibi Aghdam 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.
+The extraction of the breast boundary is crucial to perform further analysis of mammogram. Methods to extract the breast boundary
+an be classified into two categories: methods based on image processing techniques and those based on models. The former use
+image transformation techniques such as thresholding, morphological operations, and region growing. In the second category, the
+oundary is extracted using more advanced techniques, such as the active contour model. The problem with thresholding methods
+is that it is a hard to automatically find the optimal threshold value by using histogram information. On the other hand, active
+ontour models require defining a starting point close to the actual boundary to be able to successfully extract the boundary. In this"

+a1c6f88330762cc97f26585c124c6b3ac791eb89,Confidence Sets for Fine-Grained Categorization and Plant Species Identification,"Int J Comput Vis
+DOI 10.1007/s11263-014-0743-3
+Confidence Sets for Fine-Grained Categorization and Plant
+Species Identification
+Asma Rejeb Sfar · Nozha Boujemaa · Donald Geman
+Received: 1 January 2014 / Accepted: 20 June 2014
+© Springer Science+Business Media New York 2014"

+a18c8f76f2599d6d61f26cb1d4025ea386919dfe,Video Event Detection: From Subvolume Localization To Spatio-Temporal Path Search.,"This document is downloaded from DR-NTU, Nanyang Technological
+University Library, Singapore.
+Title
+Video event detection : from subvolume localization to
+spatio-temporal path search
+Author(s)
+Tran, Du; Yuan, Junsong; Forsyth, David
+Citation
+Tran, D., Yuan, J., & Forsyth, D. (2014). Video Event
+Detection: From Subvolume Localization to
+Spatiotemporal Path Search. IEEE Transactions on
+Pattern Analysis and Machine Intelligence, 36(2), 404-
+http://hdl.handle.net/10220/19322
+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"

+a1b7b23bd8f2b2ef37a9113e6b8499f0069aac85,Performance assessment of face recognition using super-resolution,"Performance Assessment of Face Recognition Using
+Super-Resolution
+Shuowen Hu
+Robert Maschal
+S. Susan Young
+U.S. Army Research Laboratory
+U.S. Army Research Laboratory
+U.S. Army Research Laboratory
+800 Powder Mill Rd.
+Adelphi, MD 20783
+(301)394-2526
+800 Powder Mill Rd.
+Adelphi, MD 20783
+(301)394-0437
+800 Powder Mill Rd.
+Adelphi, MD 20783
+(301)394-0230
+Tsai Hong Hong
+Jonathon P. Phillips
+National Institute of Standards and"

+a120cac99c85548d0749dd83b0450520949e6474,Unsupervised Eye Pupil Localization through Differential Geometry and Local Self-Similarity Matching,"Unsupervised Eye Pupil Localization through Differential
+Geometry and Local Self-Similarity Matching
+Marco Leo1*, Dario Cazzato1,2, Tommaso De Marco1, Cosimo Distante1
+National Research Council of Italy, Institute of Optics, Arnesano, Lecce, Italy, 2 Faculty of Engineering, University of Salento, Lecce, Italy"

+a1030e6e0e6995768dbcafedc712a59db090d2b4,Bayesian Sparsification of Recurrent Neural Networks,"Bayesian Sparsification of Recurrent Neural Networks
+Ekaterina Lobacheva * 1 2 Nadezhda Chirkova * 1 3 Dmitry Vetrov 1 4"

+a11a63e00c0e587adf4efc1425c0651c242263b7,Two More Strategies to Speed Up Connected Components Labeling Algorithms,"Two More Strategies to Speed Up Connected
+Components Labeling Algorithms
+Federico Bolelli, Michele Cancilla, Costantino Grana
+Dipartimento di Ingegneria “Enzo Ferrari”
+Universit`a degli Studi di Modena e Reggio Emilia
+Via Vivarelli 10, Modena MO 41125, Italy"

+a11f5e74b13a6353d14e024d06a902b9afa728b3,Yum-me: Personalized Healthy Meal Recommender System,"Yum-me: Personalized Healthy Meal Recommender System
+Longqi Yang
+Cornell Tech
+Nicola Dell
+Cornell Tech
+Cheng-Kang Hsieh
+Serge Belongie
+Cornell Tech
+Hongjian Yang
+Cornell Tech
+Deborah Estrin
+Cornell Tech"

+a1e97c4043d5cc9896dc60ae7ca135782d89e5fc,"Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints","IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
+Re-identification of Humans in Crowds using
+Personal, Social and Environmental Constraints
+Shayan Modiri Assari, Member, IEEE, Haroon Idrees, Member, IEEE, and Mubarak Shah, Fellow, IEEE"

+ef61e43a1cce95afdc0696879085e834b981d5de,Real time multi-object tracking using multiple cameras Semester Project,"CVLab: Computer Vision Laboratory
+School of Computer and Communication Sciences
+Ecole Polytechnique Fédérale de Lausanne
+http://cvlab.epfl.ch/
+Real time multi-object tracking
+using multiple cameras
+Semester Project
+Michalis Zervos
+Supervisor  Professor Pascal Fua
+Teaching Assistant  Horesh Ben Shitrit
+Spring Semester
+June 2012"

+ef940b76e40e18f329c43a3f545dc41080f68748,A Face Recognition and Spoofing Detection Adapted to Visually-Impaired People,"Research Article                                                                                                                              Volume 7 Issue No.3
+ISSN XXXX XXXX © 2017 IJESC
+A Face Recognition and Spoofing Detection Adapted to Visually-
+Impaired People
+Rutuja R. Dengale1, Bhagyashri S. Deshmukh 2, Anuja R. Mahangade3, Shivani V. Ujja inkar4
+K.K Wagh Institute of Engineering and Education Research, Nashik, India
+Depart ment of Co mputer Engineering
+Abstrac t:
+According to estimates by the world Health organization, about 285 million people suffer fro m so me kind of v isual disabilit ies of
+which 39 million are  blind, resulting in  0.7 of the word population. As many v isual impaired peoples in  the word they are  unable
+to recognize the people who is standing in front of them and some peoples who have problem to re me mbe r na me of the person.
+They  can  easily  recognize   the  person  using  this  system.  A   co mputer  vision  technique  and  image  ana lysis  can  help  v isually
+the home using face identification and spoofing detection system. This system also provide feature to add newly  known people
+nd keep records of all peoples visiting their ho me.
+Ke ywor ds: face-recognition, spoofing detection, visually-impaired, system architecture.
+INTRODUCTION
+The  facia l  ana lysis  can  be  used  to  e xtract  very  useful  and
+relevant  information  in   order  to  help  people  with  visual
+impairment in several of  its tasks daily providing them with a
+greater  degree  of  autonomy  and  security.  Facia l  recognition"

+efd308393b573e5410455960fe551160e1525f49,Tracking Persons-of-Interest via Unsupervised Representation Adaptation,"Tracking Persons-of-Interest via
+Unsupervised Representation Adaptation
+Shun Zhang, Jia-Bin Huang, Jongwoo Lim, Yihong Gong, Jinjun Wang,
+Narendra Ahuja, and Ming-Hsuan Yang"

+ef48f1d8ec88dabbf7253cb1c8a224cb95f604af,Survey on Video Analysis of Human Walking Motion,"International Journal of Signal Processing, Image Processing and Pattern Recognition
+Vol.7, No.3 (2014), pp.99-122
+http://dx.doi.org/10.14257/ijsip.2014.7.3.10
+Survey on Video Analysis of Human Walking Motion
+S. Nissi Paul and Y. Jayanta Singh
+Dept. Computer Science Engineering and information Technology
+Don Boco College of Engineering and Technology, Assam Don Bosco University
+Guwahati, Assam - India"

+efa2b259407b5b9171dd085061d05b72b6309eb0,"Egocentric Activity Recognition Using HOG , HOF , MBH and Combined features","International Journal on Future Revolution in Computer Science & Communication Engineering
+Volume: 3 Issue: 8
+_______________________________________________________________________________________________
+74 – 79
+ISSN: 2454-4248
+Egocentric Activity Recognition Using HOG, HOF, MBH and
+Combined features
+K. P. Sanal Kumar
+Research Scholar
+Dept. of CSE
+Annamalai University
+R. Bhavani
+Professor
+Dept. of CSE
+Annamalai University"

+ef230e3df720abf2983ba6b347c9d46283e4b690,QUIS-CAMPI: an annotated multi-biometrics data feed from surveillance scenarios,"Page 1 of 20
+QUIS-CAMPI: An Annotated Multi-biometrics Data Feed From
+Surveillance Scenarios
+João Neves1,*, Juan Moreno2, Hugo Proença3
+IT - Instituto de Telecomunicações, University of Beira Interior
+Department of Computer Science, University of Beira Interior
+IT - Instituto de Telecomunicações, University of Beira Interior"

+ef4ecb76413a05c96eac4c743d2c2a3886f2ae07,Modeling the importance of faces in natural images,"Modeling the Importance of Faces in Natural Images
+Jin B.a, Yildirim G.a, Lau C.a, Shaji A.a, Ortiz Segovia M.b and S¨usstrunk S.a
+EPFL, Lausanne, Switzerland;
+Oc´e, Paris, France"

+efef00465e1b2f4003e838e50f9c8fa1c8ffaf3e,SceneNet: A Perceptual Ontology for Scene Understanding,"SceneNet: A Perceptual Ontology for Scene
+Understanding
+Ilan Kadar and Ohad Ben-Shahar
+Ben-Gurion University of the Negev"

+ef2084979a3191403c1b8b48f503d06f346afb8f,Une méthode de reconnaissance des expressions du visage basée sur la perception,"Une m´ethode de reconnaissance des expressions du
+visage bas´ee sur la perception
+Rizwan Khan, Alexandre Meyer, Hubert Konik, Saida Bouakaz
+To cite this version:
+Rizwan Khan, Alexandre Meyer, Hubert Konik, Saida Bouakaz. Une m´ethode de reconnais-
+sance des expressions du visage bas´ee sur la perception. RFIA 2012 (Reconnaissance des
+Formes et Intelligence Artificielle), Jan 2012, Lyon, France. pp.978-2-9539515-2-3, 2012. <hal-
+00660976>
+HAL Id: hal-00660976
+https://hal.archives-ouvertes.fr/hal-00660976
+Submitted on 19 Jan 2012
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destin´ee au d´epˆot et `a la diffusion de documents
+scientifiques de niveau recherche, publi´es ou non,"

+ef66ed8d8db41f67048d077fd4b772c8ba748090,Reservoir Computing Hardware with Cellular Automata,"Reservoir Computing Hardware with
+Cellular Automata
+Alejandro Mor´an, Christiam F. Frasser and Josep L. Rossell´o
+Electronic Engineering Group, Physics Department, Universitat de les Illes Balears,
+Spain.
+E-mail:
+June 22, 2018"

+ef75007cd6e5b990d09e7f3c4ba119be6c2546fb,Lecture 20: Object Recognition 20.1 Introduction 20.2.1 Neocognitron,"Chapter 20
+Lecture 20: Object recognition
+0.1 Introduction
+In its simplest form, the problem of recognition is posed as a binary classification task, namely distin-
+guishing between a single object class and background class. Such a classification task can be turned
+into a detector by sliding it across the image (or image pyramid), and classifying each local window.
+Classifier based methods have defined their own family of object models. Driven by advances in
+machine learning, a common practice became to through a bunch of features into the last published
+lgorithm. However, soon became clear that such an approach, in which the research gave up into trying
+to have a well defined physical model of the object, hold a lot of promise. In many cases, the use of a
+specific classifier has driven the choice of the object representation and not the contrary. In classifier-
+ased models, the preferred representations are driven by efficiency constraints and by the characteristics
+of the classifier (e.g., additive models, SVMs, neural networks, etc.).
+0.2 Neural networks
+Although neural networks can be trained in other settings than a purely discriminative framework, some
+of the first classifier based approaches used neural networks to build the classification function. Many
+urrent approaches, despite of having a different inspiration, still follow an architecture motivated by
+neural networks.
+0.2.1 Neocognitron
+The Neocognitron, developed by Fukushima in the 80 [8], consisted on a multilayered network with"

+ef3697668eb643de27995827c630cfd029b10c37,Online self-supervised multi-instance segmentation of dynamic objects,"014 IEEE International Conference on Robotics & Automation (ICRA)
+Hong Kong Convention and Exhibition Center
+May 31 - June 7, 2014. Hong Kong, China
+978-1-4799-3685-4/14/$31.00 ©2014 IEEE"

+ef247c194162f76eb8d44b1f83c25a4002ab69a6,An Effective Profile Based Video Browsing System for e- Learning,"An Effective Profile Based Video Browsing System for e-
+Learning
+S. C. Premaratne, D. D. Karunaratna and K. P. Hewagamage
+University of Colombo School of Computing, Sri Lanka"

+efcedd5750f57f4c7f748783e91918e0f42da61f,Global Haar-Like Features: A New Extension of Classic Haar Features for Efficient Face Detection in Noisy Images,"Global Haar-like Features:
+A New Extension of Classic Haar Features for
+Ef‌f‌icient Face Detection in Noisy Images
+Mahdi Rezaei(cid:63), Hossein Ziaei Nafchi‡, and Sandino Morales†
+(cid:63)The University of Auckland, New Zealand
+Synchromedia Laboratory, ´Ecole de Technologie Sup´erieure, Canada
+The University of Auckland, New Zealand"

+ef032afa4bdb18b328ffcc60e2dc5229cc1939bc,Attribute-enhanced metric learning for face retrieval,"Fang and Yuan EURASIP Journal on Image and Video
+Processing  (2018) 2018:44
+https://doi.org/10.1186/s13640-018-0282-x
+EURASIP Journal on Image
+nd Video Processing
+RESEARCH
+Open Access
+Attribute-enhanced metric learning for
+face retrieval
+Yuchun Fang*
+nd Qiulong Yuan"

+ef9081d153f96b96183666a5086c63cecf2f33e6,3D Face Recognition Using Radon Transform and Symbolic PCA,"International Journal of Electronics and Computer Science Engineering           2342
+Available Online at www.ijecse.org                                                       ISSN- 2277-1956
+D Face Recognition Using Radon Transform and
+Symbolic PCA
+P. S. Hiremath  1, Manjunath Hiremath  2
+2Departmentof Computer Science
+Gulbarga University, Gulbarga-585106
+Karnataka, India"

+ef5531711a69ed687637c48930261769465457f0,Studio2Shop: from studio photo shoots to fashion articles,"Studio2Shop: from studio photo shoots to fashion articles
+Julia Lasserre1, Katharina Rasch1 and Roland Vollgraf
+Zalando Research, Muehlenstr. 25, 10243 Berlin, Germany
+Keywords:
+omputer vision, deep learning, fashion, item recognition, street-to-shop"

+ef559d5f02e43534168fbec86707915a70cd73a0,DeepInsight: Multi-Task Multi-Scale Deep Learning for Mental Disorder Diagnosis,"DING, HUO, HU, LU: DEEPINSIGHT
+DeepInsight: Multi-Task Multi-Scale Deep
+Learning for Mental Disorder Diagnosis
+Mingyu Ding1
+Yuqi Huo2
+Jun Hu2
+Zhiwu Lu1
+School of Information
+Renmin University of China
+Beijing, 100872, China
+Beijing Key Laboratory
+of Big Data Management
+nd Analysis Methods
+Beijing, 100872, China"

+efa08283656714911acff2d5022f26904e451113,Active Object Localization in Visual Situations,"Active Object Localization in Visual Situations
+Max H. Quinn, Anthony D. Rhodes, and Melanie Mitchell"

+ef52f1e2b52fd84a7e22226ed67132c6ce47b829,Online Eye Status Detection in the Wild with Convolutional Neural Networks,

+efe208a03e2f75ddcebf8bb0f10b1c0bea4824be,A data set for evaluating the performance of multi-class multi-object video tracking,"A data set for evaluating the performance of multi-class multi-object
+video tracking
+Avishek Chakrabortya, Victor Stamatescua, Sebastien C. Wongb, Grant Wigleya, David Kearneya
+Computational Learning Systems Laboratory, School of Information Technology and Mathematical
+Sciences, University of South Australia, Mawson Lakes, SA, Australia; bDefence Science and
+Technology Group, Edinburgh, SA, Australia"

+efa65394d0ec5a16ecd57075951016502c541c0d,The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers,"The Gap of Semantic Parsing: A Survey on Automatic
+Math Word Problem Solvers
+Dongxiang Zhang, Lei Wang, Nuo Xu, Bing Tian Dai and Heng Tao Shen"

+ef999ab2f7b37f46445a3457bf6c0f5fd7b5689d,Improving face verification in photo albums by combining facial recognition and metadata with cross-matching,"Calhoun: The NPS Institutional Archive
+DSpace Repository
+Theses and Dissertations
+. Thesis and Dissertation Collection, all items
+017-12
+Improving face verification in photo albums by
+ombining facial recognition and metadata
+with cross-matching
+Bouthour, Khoubeib
+Monterey, California: Naval Postgraduate School
+http://hdl.handle.net/10945/56868
+Downloaded from NPS Archive: Calhoun"

+ef473c96dde98e2015b2d135a17a2d734319649a,Playlist Generation using Facial Expression Analysis and Task Extraction,"Pobrane z czasopisma Annales AI- Informatica http://ai.annales.umcs.pl
+Data: 04/05/2018 16:53:32
+U M CS"

+ef4b5bcaad4c36d7baa7bc166bd1712634c7ad71,Towards Spatio-temporal Face Alignment in Unconstrained Conditions,

+efbe52289f71eca9a0aaa8a5362f73334fa6b23c,Face recognition based on LDA in manifold subspace,"EAI Endorsed Transactions
+on Context-aware Systems and Applications
+Research Article
+Face recognition based on LDA in manifold subspace
+Hung Phuoc Truong1, Tue-Minh Dinh Vo1 and Thai Hoang Le1, *
+Faculty of Information Technology, University of Science – Vietnam National University Ho Chi Minh city, 227 Nguyen
+Van Cu street, HCMc, Vietnam"

+c32b5f8d400cdfd4459b0dfdeccf011744df0b4b,Object Tracking Using Local Multiple Features and a Posterior Probability Measure,"Article
+Object Tracking Using Local Multiple Features and a
+Posterior Probability Measure
+Wenhua Guo *, Zuren Feng and Xiaodong Ren
+Systems Engineering Institute, State Key Laboratory for Manufacturing Systems Engineering,
+Xi’an Jiaotong University, Xi’an 710049, China; (Z.F.); (X.R.)
+* Correspondence: Tel.: +86-29-8266-7771
+Academic Editors: Xue-Bo Jin, Shuli Sun, Hong Wei and Feng-Bao Yang
+Received: 20 February 2017; Accepted: 28 March 2017; Published: 31 March 2017"

+c32fb755856c21a238857b77d7548f18e05f482d,Multimodal Emotion Recognition for Human-Computer Interaction: A Survey,"Multimodal Emotion Recognition for Human-
+Computer Interaction: A Survey
+School of Computer and Communication Engineering, University of Science and Technology Beijing, 100083 Beijing, China.
+Michele Mukeshimana, Xiaojuan Ban, Nelson Karani, Ruoyi Liu"

+c33289788ca69a55c7eefe6e672c82a0cac5a299,Semantic Video CNNs Through Representation Warping,"Semantic Video CNNs through Representation Warping
+Raghudeep Gadde1,3, Varun Jampani1,4 and Peter V. Gehler1,2,3
+MPI for Intelligent Systems,
+University of W¨urzburg
+Bernstein Center for Computational Neuroscience,
+NVIDIA"

+c3c73bb626efec988aadbac519c61810710282fe,Saccadic movements using eye-tracking technology in individuals with autism spectrum disorders: pilot study.,"Arq Neuropsiquiatr 2006;64(3-A):559-562
+SACCADIC MOVEMENTS USING EYE-TRACKING
+TECHNOLOGY IN INDIVIDUALS WITH AUTISM
+SPECTRUM DISORDERS
+Pilot study
+Marcos T. Mercadante, Elizeu C. Macedo, Patrícia M. Baptista,
+Cristiane S. Paula, José S. Schwartzman"

+c3beae515f38daf4bd8053a7d72f6d2ed3b05d88,ACL 2014 52nd Annual Meeting of the Association for Computational Linguistics TACL Papers,"ACL201452ndAnnualMeetingoftheAssociationforComputationalLinguisticsTACLPapersJune23-25,2014Baltimore,Maryland,USA"

+c3dc4f414f5233df96a9661609557e341b71670d,Utterance independent bimodal emotion recognition in spontaneous communication,"Tao et al. EURASIP Journal on Advances in Signal Processing 2011, 2011:4
+http://asp.eurasipjournals.com/content/2011/1/4
+RESEARCH
+Utterance independent bimodal emotion
+recognition in spontaneous communication
+Jianhua Tao*, Shifeng Pan, Minghao Yang, Ya Li, Kaihui Mu and Jianfeng Che
+Open Access"

+c3a1a3d13bf1cb2b9c054857b857c3fb9d7176f6,Détection de marqueurs affectifs et attentionnels de personnes âgées en interaction avec un robot. (Audio-visual detection of emotional (laugh and smile) and attentional markers for elderly people in social interaction with a robot),"Détection de marqueurs affectifs et attentionnels de
+personnes âgées en interaction avec un robot
+Fan Yang
+To cite this version:
+Fan Yang. Détection de marqueurs affectifs et attentionnels de personnes âgées en interaction
+vec un robot.
+Intelligence artificielle [cs.AI]. Université Paris-Saclay, 2015. Français. <NNT :
+015SACLS081>. <tel-01280505>
+HAL Id: tel-01280505
+https://tel.archives-ouvertes.fr/tel-01280505
+Submitted on 29 Feb 2016
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,"

+c348118690d2e6544ec1e68f904dbf9e5b6397bd,Video-to-Video Synthesis,"Video-to-Video Synthesis
+Ting-Chun Wang1, Ming-Yu Liu1, Jun-Yan Zhu2, Guilin Liu1,
+Andrew Tao1, Jan Kautz1, Bryan Catanzaro1
+NVIDIA, 2MIT CSAIL"

+c380aa240ebcdb8bf2cad4f30bcef2390fada091,Empty Cities: Image Inpainting for a Dynamic-Object-Invariant Space,"Empty Cities: Image Inpainting for a Dynamic-Object-Invariant Space
+Berta Bescos1, Jos´e Neira1, Roland Siegwart2 and Cesar Cadena2"

+c3dc704790e1a170919087baab0ad10d7df6c24e,Oxytocin in the socioemotional brain: implications for psychiatric disorders,"C l i n i c a l   r e s e a r c h
+Oxytocin in the socioemotional brain:
+implications for psychiatric disorders
+Peter Kirsch, PhD
+Introduction
+During  recent  years,  the  neuropeptide  oxytocin
+(OXT) has attracted enormous interest in neuroscien-
+tific research on social and emotional processes. Given
+the generally increased interest in social cognition in
+the area of psychiatric research, the number of publi-
+ations focusing on OXT in the context of mental dis-
+orders has also increased markedly in recent years. The
+role of OXT in the context of childbirth and lactation
+has long been studied; however, two lines of research
+have motivated investigation into the role of OXT in
+social behavior. First, animal research initiated by In-
+sel  and Young1  on  the  role  of  OXT  in  maternal  be-
+havior and bonding revealed that OXT in the central
+nervous  system  modulates  social  behavior.  Second,
+in human research, a startling paper by Kosfeld et al2"

+c3de7c38493cfe67654411d77f47069cfa7b077b,Multiple context mere exposure: Examining the limits of liking.,"ISSN: 1747-0218 (Print) 1747-0226 (Online) Journal homepage: http://www.tandfonline.com/loi/pqje20
+Multiple context mere exposure: Examining the
+limits of liking
+Daniel de Zilva, Ben R. Newell & Chris J. Mitchell
+To cite this article: Daniel de Zilva, Ben R. Newell & Chris J. Mitchell (2015): Multiple context
+mere exposure: Examining the limits of liking, The Quarterly Journal of Experimental
+Psychology, DOI: 10.1080/17470218.2015.1057188
+To link to this article:  http://dx.doi.org/10.1080/17470218.2015.1057188
+Accepted online: 29 Jun 2015.Published
+online: 06 Jul 2015.
+Submit your article to this journal
+Article views: 43
+View related articles
+View Crossmark data
+Full Terms & Conditions of access and use can be found at
+http://www.tandfonline.com/action/journalInformation?journalCode=pqje20
+Download by: [UNSW Library]
+Date: 05 October 2015, At: 22:09"

+c34911e9fefd987470edf8f620d9ce8f0030339d,"
+Autism, Emotion Recognition and the Mirror
+Neuron System: The Case of Music
+				","Copyright © 2009 by MJM
+MJM 2009 12(2): 87-98
+FoCuS rEViEW
+Autism, Emotion Recognition and the Mirror
+Neuron System: The Case of Music
+Istvan Molnar-Szakacs*, Martha J. Wang, Elizabeth A. Laugeson,
+Katie Overy, Wai-Ling Wu, Judith Piggot"

+c3b037fd6fb4542f7ed18c194a03ae328bcca423,Random Binary Mappings for Kernel Learning and Efficient SVM,"Random Decision Stumps for
+Kernel Learning and Efficient SVM
+Gemma Roig *
+Xavier Boix *
+Luc Van Gool
+Computer Vision Lab, ETH Zurich, Switzerland
+* Both first authors contributed equally."

+c3b3636080b9931ac802e2dd28b7b684d6cf4f8b,Face Recognition via Local Directional Pattern,"International Journal of Security and Its Applications
+Vol. 7, No. 2, March, 2013
+Face Recognition via Local Directional Pattern
+Dong-Ju Kim*, Sang-Heon Lee and Myoung-Kyu Sohn
+Division of IT Convergence, Daegu Gyeongbuk Institute of Science & Technology
+50-1, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Daegu, Korea."

+c3341286ece958e6b05df56d788456b61313380b,Estimating Attention of Faces due to its Growing Level of Emotions,"Estimating Attention of Faces due to its Growing Level of Emotions
+Ravi Kant Kumar*, Jogendra Garain, Dakshina Ranjan Kisku and Goutam Sanyal
+Department of Computer Science and Engineering
+National Institute of Technology
+Durgapur, India
+E-mail: {vit.ravikant, jogs.cse, drkisku,
+imperative
+nd  feeling  [2]  of  a  person  at  that  moment.  Facial
+expression  plays  an
+in  non-verbal
+ommunication as well as to predicting the behavior of the
+person.  During  a  group  discussion,  our  attention
+utomatically  goes  towards  those  participants  who  put
+more  stressed  on  his  words  or  talk  in  a  sentimental  or
+emphatic  voice.  Same  phenomenon  occurs  with  the  non-
+verbal  visual  communication.  The  face  reflecting  the
+higher  expression  of  a  particular  emotion  draws  more
+ttention  [3,  4]  in  the  discussion.  A  particular  object  (It
+lso  may  be  face),  which  gives  us  more  visualization  is
+onsider as a salient object and this phenomenon is called"

+c390fb954a07ecee473e0704ac065875121f6137,Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization,"IEEE TRANSACTIONS ON XXXX, VOL. XX, NO. X, APRIL 2015
+Heterogeneous Tensor Decomposition for
+Clustering via Manifold Optimization
+Yanfeng Sun, Junbin Gao, Xia Hong, Bamdev Mishra and Baocai Yin"

+c398684270543e97e3194674d9cce20acaef3db3,Comparative Face Soft Biometrics for Human Identification,"Chapter 2
+Comparative Face Soft Biometrics for
+Human Identification
+Nawaf Yousef Almudhahka, Mark S. Nixon and Jonathon S. Hare"

+c3285a1d6ec6972156fea9e6dc9a8d88cd001617,Extreme 3D Face Reconstruction: Seeing Through Occlusions,

+c3ea346826467f04779e55679679c7c7e549c8a2,Learning Short-Cut Connections for Object Counting,"OÑORO-RUBIO, NIEPERT, LÓPEZ-SASTRE: LEARNING SHORT-CUT CONNECTIONS. . .
+Learning Short-Cut Connections for Object
+Counting
+Daniel Oñoro-Rubio1
+Mathias Niepert1
+Roberto J. López-Sastre2
+SysML,
+NEC Lab Europe,
+Heidelberg, Germany
+GRAM,
+University of Alcalá,
+Alcalá de Henares, Spain"

+c3b5ec36a29b320a576f6b9e58188b505becb4aa,Practical Gauss-Newton Optimisation for Deep Learning,"Practical Gauss-Newton Optimisation for Deep Learning
+Aleksandar Botev 1 Hippolyt Ritter 1 David Barber 1 2"

+c391029d67e5a0c352f9f328b838cb19528336fe,Responding to Other People’s Direct Gaze: Alterations in Gaze Behavior in Infants at Risk for Autism Occur on Very Short Timescales,"J Autism Dev Disord (2017) 47:3498–3509
+DOI 10.1007/s10803-017-3253-7
+ORIGINAL PAPER
+Responding to Other People’s Direct Gaze: Alterations in Gaze
+Behavior in Infants at Risk for Autism Occur on Very Short
+Timescales
+Pär Nyström1
+· Sven Bölte2,3 · Terje Falck‑Ytter1,2 · The EASE Team
+Published online: 4 September 2017
+© The Author(s) 2017. This article is an open access publication"

+c3bcc4ee9e81ce9c5c0845f34e9992872a8defc0,A New Scheme for Image Recognition Using Higher-Order Local Autocorrelation and Factor Analysis,"MVA2005  IAPR  Conference on Machine VIsion Applications, May 16-18, 2005 Tsukuba Science City, Japan
+A New Scheme for Image Recognition Using Higher-Order Local
+Autocorrelation and Factor Analysis
+Naoyuki Nomotoy, Yusuke Shinoharay, Takayoshi Shirakiy, Takumi Kobayashiy, Nobuyuki Otsuy yyy
+yThe University of Tokyo
+Tokyo, Japan
+yyyAIST
+Tukuba, Japan
+f shiraki, takumi, otsug"

+c324986c8599fee2f6da7b59751e89ed9624afa3,Dual Quaternions as Constraints in 4D-DPM Models for Pose Estimation,"Article
+Dual Quaternions as Constraints in 4D-DPM Models
+for Pose Estimation
+Enrique Martinez-Berti *, Antonio-José Sánchez-Salmerón and Carlos Ricolfe-Viala
+Departamento de Ingeniería de Sistemas y Automática, Instituto de Automática e informática Industrial,
+Universitat Politècnica de València, València, 46022, Spain ; (A.-J.S.-S.);
+(C.R.-V.)
+* Correspondence:
+Received: 1 June 2017; Accepted: 13 August 2017; Published: 19 August 2017"

+c32383330df27625592134edd72d69bb6b5cff5c,Intrinsic Illumination Subspace for Lighting Insensitive Face Recognition,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 42, NO. 2, APRIL 2012
+Intrinsic Illumination Subspace for Lighting
+Insensitive Face Recognition
+Chia-Ping Chen and Chu-Song Chen, Member, IEEE"

+c3955d74f2a084a8ddcbd7e73952c326e81804b2,Mutual Information Neural Estimation,"Mutual Information Neural Estimation
+Mohamed Ishmael Belghazi 1 Aristide Baratin 1 2 Sai Rajeswar 1 Sherjil Ozair 1 Yoshua Bengio 1 3 4
+Aaron Courville 1 3 R Devon Hjelm 1 4"

+c32f04ccde4f11f8717189f056209eb091075254,Analysis and Synthesis of Behavioural Specific Facial Motion,"Analysis and Synthesis of Behavioural Specific
+Facial Motion
+Lisa Nanette Gralewski
+A dissertation submitted to the University of Bristol in accordance with the requirements
+for the degree of Doctor of Philosophy in the Faculty of Engineering, Department of
+Computer Science.
+February 2007
+71657 words"

+c338045f80ab3465bdc381f2b1791744b060fbb3,A Diffusion and Clustering-Based Approach for Finding Coherent Motions and Understanding Crowd Scenes,"A Diffusion and Clustering-based Approach for
+Finding Coherent Motions and Understanding
+Crowd Scenes
+Weiyao Lin, Yang Mi, Weiyue Wang, Jianxin Wu, Jingdong Wang, and Tao Mei"

+c34ec5dd51880acf72336e85e4e45da5fcfc75f4,LEGO: Learning Edge with Geometry all at Once by Watching Videos,"LEGO: Learning Edge with Geometry all at Once by Watching Videos
+Zhenheng Yang1 Peng Wang2 Yang Wang2 Wei Xu3 Ram Nevatia1
+University of Southern California 2Baidu Research
+National Engineering Laboratory for Deep Learning Technology and Applications"

+c3d60c8b1dff411982ccd8875496f1e74d2cefc4,Multi-view X-ray R-CNN,"Multi-view X-ray R-CNN
+Jan-Martin O. Steitz[0000−0002−3549−312X], Faraz
+Saeedan
+Department of Computer Science, TU Darmstadt, Darmstadt, Germany"

+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"

+c36f933a46e1d1c51785295bb97154df9ceada36,"Optimizing Program Performance via Similarity, Using a Feature-Agnostic Approach","Optimizing Program Performance via Similarity,
+Using a Feature-agnostic Approach
+Rosario Cammarota, Laleh Aghababaie Beni
+Alexandru Nicolau, and Alexander V. Veidenbaum
+Department of Computer Science, University of California Irvine, Irvine, USA"

+c33522fc5d2cf92c5a10f32ba9416365944cdb85,Scaling the Scattering Transform: Deep Hybrid Networks,"Scaling the Scattering Transform: Deep Hybrid Networks
+Edouard Oyallon
+D´epartement Informatique
+Ecole Normale Sup´erieure
+Eugene Belilovsky
+University of Paris-Saclay
+INRIA and KU Leuven
+Paris, France
+Sergey Zagoruyko
+Universit´e Paris-Est
+´Ecole des Ponts ParisTech
+Paris, France"

+c3599c91d0e3473178c1578b731b03e4be5d3ff1,Improving Resource Efficiency in Cloud Computing a Dissertation Submitted to the Department of Electrical Engineering and the Committee on Graduate Studies of Stanford University in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy,"IMPROVING RESOURCE EFFICIENCY IN CLOUD COMPUTING
+A DISSERTATION
+SUBMITTED TO THE DEPARTMENT OF ELECTRICAL
+ENGINEERING
+AND THE COMMITTEE ON GRADUATE STUDIES
+OF STANFORD UNIVERSITY
+IN PARTIAL FULFILLMENT OF THE REQUIREMENTS
+FOR THE DEGREE OF
+DOCTOR OF PHILOSOPHY
+Christina Delimitrou
+August 2015"

+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"

+c35724d227eb1e3d680333469fb9b94c677e871f,Multi-view Generative Adversarial Networks,"Under review as a conference paper at ICLR 2017
+MULTI-VIEW GENERATIVE ADVERSARIAL NET-
+WORKS
+Mickaël Chen
+Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, Paris, France
+Ludovic Denoyer
+Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, Paris, France"

+c3fb2399eb4bcec22723715556e31c44d086e054,Face recognition based on SIGMA sets of image features,"014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP)
+978-1-4799-2893-4/14/$31.00 ©2014 IEEE
+. INTRODUCTION"

+c3293ef751d3fb041bd3016fbc3fa5cc16f962fa,Inferencing Based on Unsupervised Learning of Disentangled Representations,"Accepted as a conference paper at the European Symposium on Artificial Neural
+Networks, Computational Intelligence and Machine Learning (ESANN) 2018
+Inferencing Based on Unsupervised Learning
+of Disentangled Representations
+Tobias Hinz and Stefan Wermter ∗
+Universit¨at Hamburg, Department of Informatics, Knowledge Technology
+Vogt-Koelln-Str. 30, 22527 Hamburg, Germany
+http://www.informatik.uni-hamburg.de/WTM/"

+c37de914c6e9b743d90e2566723d0062bedc9e6a,Joint and Discriminative Dictionary Learning for Facial Expression Recognition,"©2016 Society for Imaging Science and Technology
+DOI: 10.2352/ISSN.2470-1173.2016.11.IMAWM-455
+Joint  and  Discriminative  Dictionary  Learning
+Expression Recognition
+for  Facial
+Sriram Kumar, Behnaz Ghoraani, Andreas Savakis"

+c4f632a1b6faa43c217e63c58a4764511104c303,Extracting Pathlets FromWeak Tracking Data,"Extracting Pathlets From Weak Tracking Data∗
+Kevin Streib
+James W. Davis
+Dept. of Computer Science and Engineering
+Ohio State University, Columbus, OH 43210"

+c4a024d73902462275879fa6133bff22134fcc7e,When crowds hold privileges: Bayesian unsupervised representation learning with oracle constraints,"When crowds hold privileges: Bayesian unsupervised
+representation learning with oracle constraints
+Theofanis Karaletsos
+Computational Biology Program, Sloan Kettering Institute
+275 York Avenue, New York, USA
+Serge Belongie
+Cornell Tech
+11 Eighth Avenue #302, New York, USA
+Gunnar R¨atsch
+Computational Biology Program, Sloan Kettering Institute
+275 York Avenue, New York, USA"

+c44e2fa02f0b578a2cc92795fe6a4c578f65dc97,A Method for Copyright Protection of Line Drawings,"A Method for Copyright Protection of Line Drawings
+Weihan Sun*, Koichi Kise*
+* Graduate School of Engineering, Osaka Prefecture University, Osaka
+E-mail:"

+c4f1fcd0a5cdaad8b920ee8188a8557b6086c1a4,The Ignorant Led by the Blind: A Hybrid Human–Machine Vision System for Fine-Grained Categorization,"Int J Comput Vis (2014) 108:3–29
+DOI 10.1007/s11263-014-0698-4
+The Ignorant Led by the Blind: A Hybrid Human–Machine Vision
+System for Fine-Grained Categorization
+Steve Branson · Grant Van Horn · Catherine Wah ·
+Pietro Perona · Serge Belongie
+Received: 7 March 2013 / Accepted: 8 January 2014 / Published online: 20 February 2014
+© Springer Science+Business Media New York 2014"

+c46bcb02f92612cf525fd84c6cc79b0638c2eac9,New Fuzzy LBP Features for Face Recognition,"New Fuzzy LBP Features for Face Recognition
+Abdullah Gubbia, Mohammed Fazle Azeemb Zahid Ansaric
+Department of Electronics and Communications, P.A. College of Engineering, Mangalore, India,
+Contact:
+Department of Electrical Engineering, Aligarh Muslim University, Aligarh, India,
+Department of Computer Science, P.A. College of Engineering, Mangalore, India,
+zahid
+Contact:
+Contact:
+There are many Local texture features each very in way they implement and each of the Algorithm trying
+improve the performance. An attempt is made in this paper to represent a theoretically very simple and com-
+putationally effective approach for face recognition. In our implementation the face image is divided into 3x3
+sub-regions from which the features are extracted using the Local Binary Pattern (LBP) over a window, fuzzy
+membership function and at the central pixel. The LBP features possess the texture discriminative property
+nd their computational cost is very low. By utilising the information from LBP, membership function, and
+entral pixel, the limitations of traditional LBP is eliminated. The bench mark database like ORL and Shef‌f‌ield
+Databases are used for the evaluation of proposed features with SVM classifier. For the proposed approach K-fold
+nd ROC curves are obtained and results are compared.
+Keywords : Face Recognition, Fuzzy Logic, Information Set, Local Binary Pattern, SVM.
+. INTRODUCTION"

+c4c4e5ff454584ae6a68d25b36bfc860e9a893a0,"Real-Time Facial Recognition System—Design, Implementation and Validation","Journal of Signal Processing Theory and Applications
+(2013) 1: 1-18
+doi:10.7726/jspta.2013.1001
+Research Article
+Real-Time Facial Recognition System—Design,
+Implementation and Validation
+M. Meenakshi*
+Received 29 August 2012; Published online November 10, 2012
+© The author(s) 2012. Published with open access at uscip.org"

+c43862db5eb7e43e3ef45b5eac4ab30e318f2002,Provable Self-Representation Based Outlier Detection in a Union of Subspaces,"Provable Self-Representation Based Outlier Detection in a Union of Subspaces
+Chong You, Daniel P. Robinson, Ren´e Vidal
+Johns Hopkins University, Baltimore, MD, 21218, USA"

+c4827fe8002ea61a2748b78369afe3a0747d1a0c,Towards Optimal Naive Bayes Nearest Neighbor,"Towards Optimal Naive Bayes Nearest Neighbor
+R´egis Behmo1, Paul Marcombes1,2, Arnak Dalalyan2, and V´eronique Prinet1
+NLPR / LIAMA, Institute of Automation, Chinese Academy of Sciences(cid:2)
+IMAGINE, LIGM, Universit´e Paris-Est"

+c4dcf41506c23aa45c33a0a5e51b5b9f8990e8ad,Understanding Activity: Learning the Language of Action,"Understanding Activity: Learning the Language of Action
+Randal Nelson and Yiannis Aloimonos
+Univ. of Rochester and Maryland
+.1 Overview
+Understanding observed activity is an important
+problem, both from the standpoint of practical applications,
+nd as a central issue in attempting to describe the
+phenomenon of intelligence. On the practical side, there are a
+large number of applications that would benefit from
+improved machine ability to analyze activity. The most
+prominent are various surveillance scenarios. The current
+emphasis on homeland security has brought this issue to the
+forefront, and resulted in considerable work on mostly low-
+level detection schemes. There are also applications in
+medical diagnosis and household assistants that, in the long
+run, may be even more important. In addition, there are
+numerous scientific projects, ranging from monitoring of
+weather conditions to observation of animal behavior that
+would be facilitated by automatic understanding of activity.
+From a scientific standpoint, understanding activity"

+c42a8969cd76e9f54d43f7f4dd8f9b08da566c5f,Towards Unconstrained Face Recognition Using 3D Face Model,"Towards Unconstrained Face Recognition
+Using 3D Face Model
+Zahid Riaz1, M. Saquib Sarfraz2 and Michael Beetz1
+Intelligent Autonomous Systems (IAS), Technical University of Munich, Garching
+Computer Vision Research Group, COMSATS Institute of Information
+Technology, Lahore
+Germany
+Pakistan
+. Introduction
+Over the last couple of decades, many commercial systems are available to identify human
+faces. However, face recognition is still an outstanding challenge against different kinds of
+real world variations especially facial poses, non-uniform lightings and facial expressions.
+Meanwhile the face recognition technology has extended its role from biometrics and security
+pplications to human robot interaction (HRI). Person identity is one of the key tasks while
+interacting with intelligent machines/robots, exploiting the non intrusive system security
+nd authentication of the human interacting with the system. This capability further helps
+machines to learn person dependent traits and interaction behavior to utilize this knowledge
+for tasks manipulation. In such scenarios acquired face images contain large variations which
+demands an unconstrained face recognition system.
+Fig. 1. Biometric analysis of past few years has been shown in figure showing the"

+c48bde5b9ff17b708ab3e4f7c62a31a46c77f2f1,Nested Sparse Quantization for Efficient Feature Coding,"Nested Sparse Quantization
+for Ef‌f‌icient Feature Coding
+Xavier Boix1(cid:63), Gemma Roig1(cid:63), and Luc Van Gool1,2 (cid:63)(cid:63)
+Computer Vision Lab, ETH Zurich, Switzerland,
+KU Leuven, Belgium"

+c4f3375dab1886f37f542d998e61d8c30a927682,Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering,"Under review as a conference paper at ICLR 2018
+BEYOND SHARED HIERARCHIES: DEEP MULTITASK
+LEARNING THROUGH SOFT LAYER ORDERING
+Anonymous authors
+Paper under double-blind review"

+c4fed8f23bc9ff1ffc27edb12970963ecf2dead9,Statistical Models and Optimization Algorithms for High-Dimensional Computer Vision Problems,

+c4d3033356066ef8133f03f4060bb8cad842918f,Inference of quantized neural networks on heterogeneous all-programmable devices,"Inference of Quantized Neural Networks
+on Heterogeneous All-Programmable Devices
+Thomas B. Preußer
+Marie Skłodowska-Curie Fellow
+Xilinx Research Labs
+Giulio Gambardella
+Xilinx Research Labs
+Dublin, Ireland
+Nicholas Fraser
+Xilinx Research Labs
+Dublin, Ireland
+Michaela Blott
+Xilinx Research Labs
+Dublin, Ireland
+Dublin, Ireland"

+c4a5932f33e6f4ccbfc7218fac58350a530d0ad6,Face Recognition using Discriminant Face Features Extraction method,"Face Recognition using Discriminant Face Features Extraction method
+Miss. Poonam S. Sharma1, Prof. Nitin R. Chopde2
+Student of Master of Engineering in (CSE), G.H. Raisoni college of Engineering and Technology,
+2Assistant professor Department of (CSE), G.H. Raisoni College of Engineering and Technology,
+Amravati, India
+Amravati, India"

+c48c452f26e54f37faaf025ca3c76b33ce3e40f6,Incremental learning of latent structural SVM for weakly supervised image classification,"INCREMENTAL LEARNING OF LATENT STRUCTURAL SVM FOR WEAKLY SUPERVISED
+IMAGE CLASSIFICATION
+Thibaut Durand (1)
+Nicolas Thome (1)
+Matthieu Cord (1)
+David Picard (2)
+(1) Sorbonne Universit´es, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, Paris, France
+(2) ETIS/ENSEA, University of Cergy-Pontoise, CNRS, UMR 8051, France"

+c43490eb0a3ce18fb2326ef1d0828664b60e73e2,Is This Car Looking at You? How Anthropomorphism Predicts Fusiform Face Area Activation when Seeing Cars,"RESEARCH ARTICLE
+Is This Car Looking at You? How
+Anthropomorphism Predicts Fusiform Face
+Area Activation when Seeing Cars
+Simone Ku¨ hn1*, Timothy R. Brick1, Barbara C. N. Mu¨ ller2,3, Ju¨ rgen Gallinat4,5
+. Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195,
+Berlin, Germany, 2. Behavioural Science Institute, Radboud University of Nijmegen, P. O. Box 9104, 6500 HE,
+Nijmegen, Netherlands, 3. Department of Psychology, Ludwig-Maximilian University, Leopoldstrasse 13,
+80802, Mu¨ nchen, Germany, 4. Clinic for Psychiatry and Psychotherapy, Charite´ University Medicine, St.
+Hedwig-Krankenhaus, Große Hamburger Straße 5–11, 10115, Berlin, Germany, 5. Clinic and Policlinic for
+Psychiatry and Psychotherapy, University Clinic Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg,
+Germany"

+c4b3a1cf8842da8c64f7abf4a352583d5fd9762c,Gait recognition using sub-vector quantisation technique,"Int. J. Machine Intelligence and Sensory Signal Processing, Vol. 1, No. 1, 2013
+Gait recognition using sub-vector quantisation
+technique
+Neel K. Pandey*
+Department of Electrical Engineering and Trades,
+Faculty of Engineering and Trades,
+Manukau Institute of Technology,
+Private Bag 94006, Manukau 2241, Auckland, New Zealand
+E-mail:
+*Corresponding author
+Waleed H. Abdulla and Zoran Salcic
+Department of Electrical and Computer Engineering,
+The University of Auckland,
+Private Bag 92019, Auckland Mail Centre,
+Auckland 1142, New Zealand
+E-mail:
+E-mail:"

+c45183ec95f89aff793a2629a0520006b4153d6a,Entropy-based template analysis in face biometric identification systems,"SIViP (2013) 7:493–505
+DOI 10.1007/s11760-013-0451-4
+ORIGINAL PAPER
+Entropy-based template analysis in face biometric identification
+systems
+Maria De Marsico · Michele Nappi · Daniel Riccio ·
+Genoveffa Tortora
+Received: 19 December 2011 / Revised: 7 June 2012 / Accepted: 10 October 2012 / Published online: 17 March 2013
+© Springer-Verlag London 2013"

+c4baa3d2fe702d3e96c500274f7fd9e63f8b3d6d,Pedestrian Detection Optimization Based on Random Filtering,"Pedestrian Detection Optimization Based on
+Random Filtering
+Victor Hugo Cunha de Melo, Samir Le˜ao, William Robson Schwartz
+Universidade Federal de Minas Gerais
+Department of Computer Science
+Belo Horizonte, Minas Gerais, Brazil
+Email: {victorhcmelo, samirleao,"

+ea9cecb5b619cfa4afef6c70e193c2303696a4f9,Integration of Probabilistic Pose Estimates from Multiple Views,"Integration of Probabilistic Pose Estimates From
+Multiple Views
+¨Ozg¨ur Erkent, Dadhichi Shukla and Justus Piater
+Institute of Computer Science,
+University of Innsbruck"

+ea94d834f912f092618d030f080de8395fe39b3f,Joint autoencoders : a flexible meta-learning framework,"Under review as a conference paper at ICLR 2018
+JOINT AUTOENCODERS: A FLEXIBLE META-LEARNING
+FRAMEWORK
+Anonymous authors
+Paper under double-blind review"

+ea3503e9dc74b30b4c98a89843fe2ea0dc9221ab,Human Action Recognition Using LBP-TOP as Sparse Spatio-Temporal Feature Descriptor,"Human Action Recognition Using LBP-TOP as Sparse
+Spatio-Temporal Feature Descriptor
+Riccardo Mattivi and Ling Shao
+Philips Research, Eindhoven, The Netherlands"

+eabdefeb685dd71a39417bf40247d206af4f9b9e,"Of Kith and Kin: Perceptual Enrichment, Expectancy, and Reciprocity in Face Perception.","657250 PSRXXX10.1177/1088868316657250Personality and Social Psychology ReviewCorrell et al.
+research-article2016
+Article
+Of Kith and Kin: Perceptual Enrichment,
+Expectancy, and Reciprocity in Face
+Perception
+Personality and Social Psychology Review
+1 –25
+© 2016 by the Society for Personality
+nd Social Psychology, Inc.
+Reprints and permissions:
+sagepub.com/journalsPermissions.nav
+DOI: 10.1177/1088868316657250
+pspr.sagepub.com
+Joshua Correll1, Sean M. Hudson1, Steffanie Guillermo1,
+nd Holly A. Earls1"

+eac6aee477446a67d491ef7c95abb21867cf71fc,A Survey of Sparse Representation: Algorithms and Applications,"JOURNAL
+A survey of sparse representation: algorithms and
+pplications
+Zheng Zhang, Student Member, IEEE, Yong Xu, Senior Member, IEEE,
+Jian Yang, Member, IEEE, Xuelong Li, Fellow, IEEE, and David Zhang, Fellow, IEEE"

+ead587db6b2b76726e98b17cb1fbf973a34ddf31,Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms,"Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms
+{tag}                                                 {/tag}
+International Journal of Computer Applications
+Foundation of Computer Science (FCS), NY, USA
+Volume 134
+Number 7
+Year of Publication: 2016
+Authors:
+Filani Araoluwa S., Adetunmbi Adebayo O.
+10.5120/ijca2016907932
+{bibtex}2016907932.bib{/bibtex}"

+ea533fac61db537fe1e1f351c98ae28db7272705,Theoretical Informatics and Applications Eye Localization for Face Recognition *,"Theoretical Informatics and Applications
+Informatique Th´eorique et Applications
+Will be set by the publisher
+EYE LOCALIZATION FOR FACE RECOGNITION ∗
+PAOLA CAMPADELLI, RAFFAELLA LANZAROTTI, GIUSEPPE LIPORI 1"

+ea5dd7125c73756d7d81e49fa9826198f533cff7,Appearance tracking by transduction in surveillance scenarios,"8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011
+978-1-4577-0845-9/11/$26.00 c(cid:13)2011 IEEE"

+eabbf37742b79147c3bcf42d376dbceaae869a01,Recurrent Multimodal Interaction for Referring Image Segmentation,"Recurrent Multimodal Interaction for Referring Image Segmentation
+Chenxi Liu1
+Zhe Lin2 Xiaohui Shen2
+Jimei Yang2 Xin Lu2 Alan Yuille1
+Johns Hopkins University1 Adobe Research2
+{cxliu,
+{zlin, xshen, jimyang,"

+ea079334121a0ba89452036e5d7f8e18f6851519,Unsupervised incremental learning of deep descriptors from video streams,"UNSUPERVISED INCREMENTAL LEARNING OF DEEP DESCRIPTORS
+FROM VIDEO STREAMS
+Federico Pernici and Alberto Del Bimbo
+MICC – University of Florence"

+eac1b644492c10546a50f3e125a1f790ec46365f,"Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection","Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for
+Action Classification and Detection
+Mohammadreza Zolfaghari , Gabriel L. Oliveira, Nima Sedaghat, and Thomas Brox
+University of Freiburg
+Freiburg im Breisgau, Germany"

+eadf6cb8f16c507e4a73db33da201cde3d9b2f5a,PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing,"PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network
+for Simultaneous Depth Estimation and Scene Parsing
+Dan Xu1, Wanli Ouyang2, Xiaogang Wang3, Nicu Sebe1
+The University of Trento, 2The University of Sydney, 3The Chinese University of Hong Kong
+{dan.xu,"

+ea8cb4a79b211fb288f747bdd64b3fc36e11c0fc,Automatic Facial Action Unit Recognition by Modeling Their Semantic And Dynamic Relationships,"Chapter 10
+Automatic Facial Action Unit Recognition
+y Modeling Their Semantic And Dynamic
+Relationships
+Yan Tong, Wenhui Liao, and Qiang Ji"

+ea939d72d55c095e57fedaaf2aa49f596002c196,A Part based Modeling Approach for Invoice Parsing,

+ea638559b6dd6b5520f9abe2674b92c07873a157,Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks,"Semantic Segmentation of Earth Observation
+Data Using Multimodal and Multi-scale Deep
+Networks
+Nicolas Audebert1,2, Bertrand Le Saux1, S´ebastien Lef`evre2
+ONERA, The French Aerospace Lab, F-91761 Palaiseau, France -
+{nicolas.audebert,bertrand.le
+Univ. Bretagne-Sud, UMR 6074, IRISA, F-56000 Vannes, France -"

+eaaf411826d129c2a31d997dc3f5f708a8186656,SDALF: Modeling Human Appearance with Symmetry-Driven Accumulation of Local Features,"SDALF: Modeling Human Appearance with
+Symmetry-Driven Accumulation of Local
+Features
+Loris Bazzani and Marco Cristani and Vittorio Murino"

+eaaec63bb86ee87d56f5844951143485ce84a4ea,GANtruth – an unpaired image-to-image translation method for driving scenarios,"GANtruth – an unpaired image-to-image translation
+method for driving scenarios
+Anonymous Author(s)
+Affiliation
+Address
+email"

+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,"

+ea8abe31f3cac058cf757f16e1eefa11295322bc,Ensemble of Deep Learned Features for Melanoma Classification,"Ensemble of Deep Learned Features for Melanoma
+Classification
+Loris Nanni1*, Alessandra Lumini2, Stefano Ghidoni1
+Department  of  Information  Engineering,  University  of  Padua,  via  Gradenigo  6/B,  35131
+Padova, Italy.
+Department  of  Computer  Science  and  Engineering,  University  of  Bologna,  via  Sacchi  3,
+7521, Cesena (FC), Italy."

+ead2701e883174028a1b1b25472bc83bedc330aa,"Face Recognition Methods Based on Feedforward Neural Networks, Principal Component Analysis and Self-Organizing Map","RADIOENGINEERING, VOL. 16, NO. 1, APRIL 2007
+Face Recognition Methods Based on Feedforward
+Neural Networks, Principal Component Analysis
+nd Self-Organizing Map
+Miloš ORAVEC, Jarmila PAVLOVIČOVÁ
+Dept. of Telecommunications, Faculty of Electrical Engineering and Information Technology, Slovak University of
+Technology, Ilkovičova 3, 812 19 Bratislava, Slovak Republic"

+eafda8a94e410f1ad53b3e193ec124e80d57d095,Observer-Based Measurement of Facial Expression With the Facial Action Coding System,"Jeffrey F. Cohn
+Zara Ambadar
+Paul Ekman
+Observer-Based Measurement of Facial Expression
+With the Facial Action Coding System
+Facial expression has been a focus of emotion research for over
+hundred years (Darwin, 1872/1998). It is central to several
+leading theories of emotion (Ekman, 1992; Izard, 1977;
+Tomkins, 1962) and has been the focus of at times heated
+debate about issues in emotion science (Ekman, 1973, 1993;
+Fridlund, 1992; Russell, 1994). Facial expression figures
+prominently in research on almost every aspect of emotion,
+including psychophysiology (Levenson, Ekman, & Friesen,
+990), neural bases (Calder et al., 1996; Davidson, Ekman,
+Saron, Senulis, & Friesen, 1990), development (Malatesta,
+Culver, Tesman, & Shephard, 1989; Matias & Cohn, 1993),
+perception (Ambadar, Schooler, & Cohn, 2005), social pro-
+esses (Hatfield, Cacioppo, & Rapson, 1992; Hess & Kirouac,
+000), and emotion disorder (Kaiser, 2002; Sloan, Straussa,
+Quirka, & Sajatovic, 1997), to name a few."

+ea0785c2d4ac8f8d6415cffdb83547bfc4e7adba,Spontaneous Facial Expression Recognition using Sparse Representation,"Spontaneous Facial Expression Recognition using Sparse Representation
+Univ. Grenoble Alpes, GIPSA-Lab, F-38000 Grenoble, France CNRS, GIPSA-Lab, F-38000 Grenoble, France
+Dawood Al Chanti1 and Alice Caplier1
+Keywords:
+Dictionary learning, Random projection, Spontaneous facial expression, Sparse representation."

+ea85378a6549bb9eb9bcc13e31aa6a61b655a9af,Template Protection for PCA - LDA - based 3 D Face Recognition System,"Diplomarbeit
+Template Protection for PCA-LDA-based 3D
+Face Recognition System
+Daniel Hartung
+Technische Universität Darmstadt
+Fachbereich Informatik
+Fachgebiet Graphisch-Interaktive Systeme
+Fraunhoferstraße 5
+64283 Darmstadt
+Betreuer: Dipl.-Ing. Xuebing Zhou
+Prüfer: Prof. Dr. techn. Dieter W. Fellner"

+ea2ee5c53747878f30f6d9c576fd09d388ab0e2b,Viola-Jones Based Detectors: How Much Affects the Training Set?,"Viola-Jones based Detectors: How much affects
+the Training Set?
+Modesto Castrill´on-Santana, Daniel Hern´andez-Sosa, Javier Lorenzo-Navarro
+SIANI
+Edif. Central del Parque Cient´ıfico Tecnol´ogico
+Universidad de Las Palmas de Gran Canaria
+5017 - Spain"

+eace134548f9be17c243b06f133bfac76a797676,ADNet: A Deep Network for Detecting Adverts,"ADNet: A Deep Network for Detecting Adverts
+Murhaf Hossari(cid:63)1, Soumyabrata Dev(cid:63)1, Matthew Nicholson1, Killian McCabe1,
+Atul Nautiyal1, Clare Conran1, Jian Tang3, Wei Xu3, and Fran¸cois Piti´e1,2
+The ADAPT SFI Research Centre, Trinity College Dublin
+Department of Electronic & Electrical Engineering, Trinity College Dublin
+Huawei Ireland Research Center, Dublin"

+ea5eaaadb8bc928fb7543d6fa24f9f4a229ff979,Mirror Neuron Forum.,"Perspectives on Psychological
+Science
+http://pps.sagepub.com/
+Vittorio Gallese, Morton Ann Gernsbacher, Cecilia Heyes, Gregory Hickok and Marco Iacoboni
+Mirror Neuron Forum
+Perspectives on Psychological Science
+DOI: 10.1177/1745691611413392
+2011 6: 369
+The online version of this article can be found at:
+http://pps.sagepub.com/content/6/4/369
+Perspectives on Psychological Science
+can be found at:
+Additional services and information for
+Email Alerts:
+Subscriptions:
+Reprints:
+Permissions:
+http://pps.sagepub.com/cgi/alerts
+http://pps.sagepub.com/subscriptions
+http://www.sagepub.com/journalsReprints.nav"

+ea3353efbe7b856ced106718d04ea7d83e2a2310,A Survey of Video Object Tracking,"International Journal of Control and Automation
+Vol. 8, No. 9 (2015), pp. 303-312
+http://dx.doi.org/10.14257/ijca.2015.8.9.29
+A Survey of Video Object Tracking
+Meng Li, Zemin Cai1, Chuliang Wei and Ye Yuan
+Department of Electronic Engineering, College of Engineering, Shantou
+University, China
+Guangdong Provicial Key Laboratory of Digital Signal and Image Processing
+Techniques, China
+Corresponding author,"

+ea572991a75acfc8a8791955f670d2c48db49023,Arbitrary-Shape Object Localization Using Adaptive Image Grids,"Arbitrary-Shape Object Localization using
+Adaptive Image Grids
+Chunluan Zhou and Junsong Yuan
+School of EEE, Nanyang Technology University, Singapore"

+ea099ee1183145131e29009f2af0e4b13ac583f0,Effects of exposure to facial expression variation in face learning and recognition,"Psychological Research (2015) 79:1042–1053
+DOI 10.1007/s00426-014-0627-8
+O R I G I N A L A R T I C L E
+Effects of exposure to facial expression variation in face learning
+nd recognition
+Chang Hong Liu • Wenfeng Chen • James Ward
+Received: 25 July 2014 / Accepted: 6 November 2014 / Published online: 15 November 2014
+Ó The Author(s) 2014. This article is published with open access at Springerlink.com"

+eae625274767cb695fa2121ccdcb30828ffc9b66,Social Context Modulates Facial Imitation of Children’s Emotional Expressions,"RESEARCH ARTICLE
+Social Context Modulates Facial Imitation of
+Children’s Emotional Expressions
+Peter A. Bos*, Nadine Jap-Tjong, Hannah Spencer, Dennis Hofman
+Department of Experimental Psychology, Utrecht University, Utrecht, The Netherlands"

+ea9857a5e5c72d435054a5a73e50dafb755a2597,Comparative study of histogram distance measures for re-identification,"Comparative study of histogram distance measures for re-identification
+Pedro A. Mar´ın-Reyes, Javier Lorenzo-Navarro, Modesto Castrill´on-Santana
+Instituto Universitario SIANI
+Universidad de Las Palmas de Gran Canaria"

+ea2d43aa2490331cd1406e1432ce706c53139323,Tracked Instance Search,"TRACKED INSTANCE SEARCH
+Andreu Girbau†
+Ryota Hinami(cid:63)
+Shin’ichi Satoh(cid:63)
+Universitat Polit`ecnica de Catalunya, Barcelona
+(cid:63) National Institute of Informatics, Tokyo"

+ea251fc90da36fdbaf7be76f449a9e0dac1d42ef,Brain mechanisms for processing direct and averted gaze in individuals with autism.,"J Autism Dev Disord
+DOI 10.1007/s10803-011-1197-x
+O R I G I N A L P A P E R
+Brain Mechanisms for Processing Direct and Averted Gaze
+in Individuals with Autism
+Naomi B. Pitskel • Danielle Z. Bolling • Caitlin M. Hudac •
+Stephen D. Lantz • Nancy J. Minshew • Brent C. Vander Wyk •
+Kevin A. Pelphrey
+Ó Springer Science+Business Media, LLC 2011"

+e1f794bacd01eecb623bead652bdc9f86e17944e,Affective Environment for Java Programming Using Facial and EEG Recognition,"Affective Environment for Java Programming
+Using Facial and EEG Recognition
+María Lucía Barrón-Estrada, Ramón Zatarain-Cabada, Claudia Guadalupe
+Aispuro-Gallegos, Catalina de la Luz Sosa-Ochoa, Mario Lindor-Valdez
+Instituto Tecnológico de Culiacán, Culiacán, Sinaloa,
+Mexico
+{lbarron, rzatarain, m03171007, m07170739,"

+e1e5d64318ec0a493995fb83ef4f433ddde82e77,Affects the Gaze-cueing Effect,"(cid:5)(cid:36)(cid:57)(cid:50)(cid:44)(cid:39)(cid:44)(cid:49)(cid:42)(cid:3)(cid:50)(cid:53)(cid:3)(cid:36)(cid:51)(cid:51)(cid:53)(cid:50)(cid:36)(cid:38)(cid:43)(cid:44)(cid:49)(cid:42)(cid:3)(cid:40)(cid:60)(cid:40)(cid:54)(cid:5)(cid:34)(cid:3)(cid:44)(cid:49)(cid:55)(cid:53)(cid:50)(cid:57)(cid:40)(cid:53)(cid:54)(cid:44)(cid:50)(cid:49)(cid:18)(cid:40)(cid:59)(cid:55)(cid:53)(cid:36)(cid:57)(cid:40)(cid:53)(cid:54)(cid:44)(cid:50)(cid:49)
+(cid:36)(cid:41)(cid:41)(cid:40)(cid:38)(cid:55)(cid:54)(cid:3)(cid:55)(cid:43)(cid:40)(cid:3)(cid:42)(cid:36)(cid:61)(cid:40)(cid:16)(cid:38)(cid:56)(cid:40)(cid:44)(cid:49)(cid:42)(cid:3)(cid:40)(cid:41)(cid:41)(cid:40)(cid:38)(cid:55)
+(cid:16)(cid:16)(cid:48)(cid:68)(cid:81)(cid:88)(cid:86)(cid:70)(cid:85)(cid:76)(cid:83)(cid:87)(cid:3)(cid:39)(cid:85)(cid:68)(cid:73)(cid:87)(cid:16)(cid:16)
+(cid:38)(cid:82)(cid:74)(cid:81)(cid:76)(cid:87)(cid:76)(cid:89)(cid:72)(cid:3)(cid:51)(cid:85)(cid:82)(cid:70)(cid:72)(cid:86)(cid:86)(cid:76)(cid:81)(cid:74)
+(cid:3)
+(cid:3)
+(cid:48)(cid:68)(cid:81)(cid:88)(cid:86)(cid:70)(cid:85)(cid:76)(cid:83)(cid:87)(cid:3)(cid:49)(cid:88)(cid:80)(cid:69)(cid:72)(cid:85)(cid:29)
+(cid:41)(cid:88)(cid:79)(cid:79)(cid:3)(cid:55)(cid:76)(cid:87)(cid:79)(cid:72)(cid:29)
+(cid:36)(cid:85)(cid:87)(cid:76)(cid:70)(cid:79)(cid:72)(cid:3)(cid:55)(cid:92)(cid:83)(cid:72)(cid:29)
+(cid:46)(cid:72)(cid:92)(cid:90)(cid:82)(cid:85)(cid:71)(cid:86)(cid:29)
+(cid:38)(cid:82)(cid:85)(cid:85)(cid:72)(cid:86)(cid:83)(cid:82)(cid:81)(cid:71)(cid:76)(cid:81)(cid:74)(cid:3)(cid:36)(cid:88)(cid:87)(cid:75)(cid:82)(cid:85)(cid:29)
+(cid:38)(cid:82)(cid:85)(cid:85)(cid:72)(cid:86)(cid:83)(cid:82)(cid:81)(cid:71)(cid:76)(cid:81)(cid:74)(cid:3)(cid:36)(cid:88)(cid:87)(cid:75)(cid:82)(cid:85)(cid:3)(cid:54)(cid:72)(cid:70)(cid:82)(cid:81)(cid:71)(cid:68)(cid:85)(cid:92)
+(cid:44)(cid:81)(cid:73)(cid:82)(cid:85)(cid:80)(cid:68)(cid:87)(cid:76)(cid:82)(cid:81)(cid:29)
+(cid:38)(cid:82)(cid:85)(cid:85)(cid:72)(cid:86)(cid:83)(cid:82)(cid:81)(cid:71)(cid:76)(cid:81)(cid:74)(cid:3)(cid:36)(cid:88)(cid:87)(cid:75)(cid:82)(cid:85)(cid:10)(cid:86)(cid:3)(cid:44)(cid:81)(cid:86)(cid:87)(cid:76)(cid:87)(cid:88)(cid:87)(cid:76)(cid:82)(cid:81)(cid:29)
+(cid:38)(cid:82)(cid:85)(cid:85)(cid:72)(cid:86)(cid:83)(cid:82)(cid:81)(cid:71)(cid:76)(cid:81)(cid:74)(cid:3)(cid:36)(cid:88)(cid:87)(cid:75)(cid:82)(cid:85)(cid:10)(cid:86)(cid:3)(cid:54)(cid:72)(cid:70)(cid:82)(cid:81)(cid:71)(cid:68)(cid:85)(cid:92)
+(cid:44)(cid:81)(cid:86)(cid:87)(cid:76)(cid:87)(cid:88)(cid:87)(cid:76)(cid:82)(cid:81)(cid:29)
+(cid:41)(cid:76)(cid:85)(cid:86)(cid:87)(cid:3)(cid:36)(cid:88)(cid:87)(cid:75)(cid:82)(cid:85)(cid:29)
+(cid:41)(cid:76)(cid:85)(cid:86)(cid:87)(cid:3)(cid:36)(cid:88)(cid:87)(cid:75)(cid:82)(cid:85)(cid:3)(cid:54)(cid:72)(cid:70)(cid:82)(cid:81)(cid:71)(cid:68)(cid:85)(cid:92)(cid:3)(cid:44)(cid:81)(cid:73)(cid:82)(cid:85)(cid:80)(cid:68)(cid:87)(cid:76)(cid:82)(cid:81)(cid:29)
+(cid:50)(cid:85)(cid:71)(cid:72)(cid:85)(cid:3)(cid:82)(cid:73)(cid:3)(cid:36)(cid:88)(cid:87)(cid:75)(cid:82)(cid:85)(cid:86)(cid:29)
+(cid:50)(cid:85)(cid:71)(cid:72)(cid:85)(cid:3)(cid:82)(cid:73)(cid:3)(cid:36)(cid:88)(cid:87)(cid:75)(cid:82)(cid:85)(cid:86)(cid:3)(cid:54)(cid:72)(cid:70)(cid:82)(cid:81)(cid:71)(cid:68)(cid:85)(cid:92)(cid:3)(cid:44)(cid:81)(cid:73)(cid:82)(cid:85)(cid:80)(cid:68)(cid:87)(cid:76)(cid:82)(cid:81)(cid:29)"

+e19b60e5b8083828285a2baa781ceaad27f6353c,The accuracy and value of machine-generated image tags: design and user evaluation of an end-to-end image tagging system,"The Accuracy and Value of Machine-Generated Image Tags
+Design and User Evaluation of an End-to-End Image Tagging System
+Lexing Xie, Apostol Natsev, Matthew Hill, John R. Smith
+IBM Watson Research Center, Hawthorne, NY, USA
+{xlx, natsev, mh,
+Alex Phillips
+IBM Global Business Services, United Kingdom"

+e18cc09c3d3d79df6cd40ea5cf13ad40eacb8a73,Visual Transfer Learning: Informal Introduction and Literature Overview,"Visual Transfer Learning: Informal Introduction
+nd Literature Overview
+Erik Rodner
+University of Jena, Germany
+August 2011"

+e151c99b5e55bfc03047a2c6c2118cd9e4ad829b,Perspectives on Deep Multimodel Robot Learning,"Perspectives on Deep Multimodel
+Robot Learning
+Wolfram Burgard, Abhinav Valada, Noha Radwan, Tayyab Naseer, Jingwei Zhang,
+Johan Vertens, Oier Mees, Andreas Eitel and Gabriel Oliveira"

+e1e60501677ae67c6a682bac2c17e4fc904ee380,Performance Analysis of Local Binary Pattern Variants in Texture Classification,"Performance Analysis of Local Binary Pattern
+International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
+Volume 06, Issue 05, May 2017, ISSN: 2278 – 1323
+Variants in Texture Classification
+Ch. Sudha Sree1, M. V. P Chandra Sekhara Rao2
+,2Department of CA, Department of CSE, R.V.R &J.C College of Engineering
+Guntur, India"

+e1371af87f6d5e22ef6d8c5f9977f5e924f176f6,Bidirectional Retrieval Made Simple Jônatas Wehrmann,"Bidirectional Retrieval Made Simple
+Jˆonatas Wehrmann
+School of Technology
+Rodrigo C. Barros
+School of Technology
+Pontif´ıcia Universidade Cat´olica
+Pontif´ıcia Universidade Cat´olica
+do Rio Grande do Sul
+do Rio Grande do Sul"

+e1725b71f3f127d6a49d24f14bee05aada1e2f96,Part-Based Deep Hashing for Large-Scale Person Re-Identification,"Part-based Deep Hashing for Large-scale
+Person Re-identification∗
+Fuqing Zhu, Xiangwei Kong, Member, IEEE, Liang Zheng, Member, IEEE, Haiyan Fu, Member, IEEE,
+Qi Tian, Fellow, IEEE,"

+e1660c10ae661cf951602232b36047b19198f599,Web Image Search Using Attribute Assisted Re- Ranking Model,"Vol-2 Issue-1 2016
+IJARIIE-ISSN(O)-2395-4396
+Web Image  Search Using  Attribute Assisted  Re-
+Ranking  Model
+Ganesh  R Nagare1, Ashok  V Markad 2
+Information Technology, Amrutvahini College of Engineering, Maharashtra, India"

+e1f790bbedcba3134277f545e56946bc6ffce48d,Image Retrieval Using Attribute Enhanced Sparse Code Words,"International Journal of Innovative Research in Science,
+Engineering and Technology
+(An ISO 3297: 2007 Certified Organization)
+Vol. 3, Issue 5, May 2014
+Sparse Code Words
+ISSN: 2319-8753
+Image Retrieval Using Attribute Enhanced
+M.Balaganesh1, N.Arthi2
+Associate Professor, Department of Computer Science and Engineering, SRV Engineering College, sembodai, india1
+P.G. Student, Department of Computer Science and Engineering, SRV Engineering College, sembodai, India 2"

+e135f8118145b6a2e2a6a2088c04c26ca6d38642,Dynamic Biometrics Fusion at Feature Level for Video-Based Human Recognition,

+e10662a59b5f8e1f5684409023f11ca727647320,Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images,"Performance Evaluation of Deep Learning Networks for
+Semantic Segmentation of Traffic Stereo-Pair Images
+Vlad Taran, Nikita Gordienko, Yuriy Kochura, Yuri Gordienko, Alexandr Rokovyi, Oleg
+Alienin, Sergii Stirenko
+National Technical University of Ukraine ""Igor Sikorsky Kyiv Polytechnic Institute"",
+Kyiv, Ukraine
+Semantic  image  segmentation  is  one  the  most  demanding  task,  especially  for  analysis  of  traffic  conditions
+for  self-driving  cars.  Here  the  results  of  application  of  several  deep  learning  architectures  (PSPNet  and
+ICNet)  for  semantic  image  segmentation  of  traffic  stereo-pair  images  are  presented.  The  images  from
+Cityscapes  dataset  and  custom  urban  images  were  analyzed  as  to  the  segmentation  accuracy  and  image
+inference time. For the models pre-trained on Cityscapes dataset,  the inference time was equal in the limits
+of  standard  deviation,  but  the  segmentation  accuracy  was  different  for  various  cities  and  stereo  channels
+even. The distributions of accuracy (mean intersection over union — mIoU) values for each city and channel
+re asymmetric, long-tailed, and have many extreme outliers, especially for PSPNet network in comparison
+to  ICNet  network.  Some  statistical  properties  of  these  distributions  (skewness,  kurtosis)  allow  us  to
+distinguish these two networks and open the question about relations between architecture of deep learning
+networks and statistical distribution of the predicted results (mIoU here). The results obtained demonstrated
+the  different  sensitivity  of  these  networks  to:  (1)  the  local  street  view  peculiarities  in  different  cities  that
+should be  taken  into  account during  the  targeted  fine  tuning  the  models  before  their  practical  applications,
+(2) the right and left data channels in stereo-pairs. For both networks, the difference in the predicted results"

+e17783170ecc48253fa16123a041ae298184f4ff,Graph Embedding Algorithms Based on Neighborhood Discriminant Embedding for Face Recognition,"International Journal of Computer Information Systems and Industrial Management Applications.
+ISSN 2150-7988 Volume 4 (2012) pp. 374–382
+(cid:13) MIR Labs, www.mirlabs.net/ijcisim/index.html
+Graph Embedding Algorithms Based on
+Neighborhood Discriminant Embedding for Face
+Recognition
+Dexing Zhong1,2, Jiuqiang Han1, Yongli Liu1 and Shengbin Li2
+Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi’an Jiaotong University,
+8 Xianning West Road, Xian, 710049 P. R. China
+State Key Laboratory of Ministry of Health for Forensic Sciences, Xian Jiaotong University,
+76 Yanta West Road, Xian, 710061 P. R. China"

+e1e2b6a8944a4e6f195b6f7371ee9e6b0684ae6b,Generating Personalized Virtual Agent in Speech Dialogue System for People with Dementia,"Generating Personalized Virtual Agent
+in Speech Dialogue System for People
+with Dementia
+Shota Nakatani1(B), Sachio Saiki1, Masahide Nakamura1, and Kiyoshi Yasuda2
+Graduate School of System Informatics Kobe University,
+-1 Rokkodai, Nada, Kobe, Japan
+Chiba Rosai Hospital, 2-16 Tatsumidai-higashi, Ichihara, Japan"

+e19ebad4739d59f999d192bac7d596b20b887f78,Learning Gating ConvNet for Two-Stream based Methods in Action Recognition,"Learning Gating ConvNet for Two-Stream based Methods in Action
+Recognition
+Jiagang Zhu1,2, Wei Zou1, Zheng Zhu1,2"

+e1cb110c45c4416f7aff490db2674abe1460259e,Hard-Aware Point-to-Set Deep Metric for Person Re-identification,"Hard-AwarePoint-to-SetDeepMetricforPersonRe-identificationRuiYu1,ZhiyongDou1,SongBai1,ZhaoxiangZhang2,YongchaoXu1(),andXiangBai1("

+e163118b4a5b8016754134215433eee1f2c0065a,3-D Shape Matching for Face Analysis and Recognition,"-D Shape Matching for Face Analysis and Recognition
+Wei Quan, Bogdan J. Matuszewski and Lik-Kwan Shark
+Robotics and Computer Vision Research Laboratory, Applied Digital Signal and Image Processing (ADSIP) Research
+Centre, University of Central Lancashire, Preston PR1 2HE, U.K.
+Keywords:
+Face  Recognition,  Shape  Matching  and  Modelling,  Isometric  Embedding  Representation,  Non-Rigid
+Deformation Registration."

+e1fb8ab53996f06e9a35de6b553333bd6279bcbd,Learning Multilayer Channel Features for Pedestrian Detection,"Learning Multilayer Channel Features for
+Pedestrian Detection
+Jiale Cao, Yanwei Pang, and Xuelong Li"

+e1d726d812554f2b2b92cac3a4d2bec678969368,Human Action Recognition Bases on Local Action Attributes,"J Electr Eng Technol.2015; 10(?): 30-40
+http://dx.doi.org/10.5370/JEET.2015.10.2.030
+ISSN(Print)
+975-0102
+ISSN(Online)  2093-7423
+Human Action Recognition Bases on Local Action Attributes
+Jing  Zhang*, Hong Liu*, Weizhi Nie† Lekha Chaisorn**, Yongkang Wong**
+nd Mohan S Kankanhalli**"

+e1140b86c64549cbcd138f868c82ee8aad77d103,Occlusion Handling using Semantic Segmentation and Visibility-Based Rendering for Mixed Reality,"Occlusion Handling using Semantic Segmentation and
+Visibility-Based Rendering for Mixed Reality
+Menandro Roxas
+Tomoki Hori
+Taiki Fukiage
+Tokyo, Japan
+Yasuhide Okamoto
+Takeshi Oishi
+(cid:140)e University of Tokyo"

+e1f815c50a6c0c6d790c60a1348393264f829e60,Pedestrian Detection and Tracking in Surveillance Video,"PEDESTRIAN DETECTION AND TRACKING IN
+SURVEILLANCE VIDEO
+PENNY CHONG
+A project report submitted in partial fulfilment of the
+requirements for the award of Bachelor of Science (Hons.)
+Applied Mathematics with Computing
+Lee Kong Chian Faculty of Engineering and Science
+Universiti Tunku Abdul Rahman
+April 2016"

+e1e6e6792e92f7110e26e27e80e0c30ec36ac9c2,Ranking with Adaptive Neighbors,"TSINGHUA SCIENCE AND TECHNOLOGY
+ISSNll1007-0214
+0?/?? pp???–???
+DOI: 10.26599/TST.2018.9010000
+Volume 1, Number 1, Septembelr 2018
+Ranking with Adaptive Neighbors
+Muge Li, Liangyue Li, and Feiping Nie∗"

+e1e1b3683ac278386cf1569e97f9aced0923f4a0,Hyperdrive: A Systolically Scalable Binary-Weight CNN Inference Engine for mW IoT End-Nodes,"Hyperdrive: A Systolically Scalable Binary-Weight
+CNN Inference Engine for mW IoT End-Nodes
+Renzo Andri∗, Lukas Cavigelli∗, Davide Rossi†, Luca Benini∗†
+Integrated Systems Laboratory, ETH Zurich, Zurich, Switzerland
+DEI, University of Bologna, Bologna, Italy"

+cd01a0018f2b8f1211e8dfe311c28e32773c58dc,Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence,"Globally-Optimal Inlier Set Maximisation for
+Simultaneous Camera Pose and Feature Correspondence
+Dylan Campbell1,2, Lars Petersson1,2, Laurent Kneip1 and Hongdong Li1
+Australian National University*
+Data61 – CSIRO"

+cd9666858f6c211e13aa80589d75373fd06f6246,A Novel Time Series Kernel for Sequences Generated by LTI Systems,"A Novel Time Series Kernel for
+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"

+cd2c1e542ae8c08cfb8baea3dff788d143232de8,Multiview Human Synthesis From a Single View,"Multiview Human Synthesis From a Singleview
+Si Wen (06246679), Tiancong Zhou (06247022), Honghao Qiu (06246258)
+{wensi, longztc,"

+cd36768795c696c990ff5c89be8d8b3b205858bd,CliCR: A Dataset of Clinical Case Reports for Machine Reading Comprehension,"CliCR: A Dataset of Clinical Case Reports for Machine
+Reading Comprehension∗
+Simon ˇSuster and Walter Daelemans
+Computational Linguistics & Psycholinguistics Research Center,
+University of Antwerp, Belgium"

+cd6978bf6b98794552bd52d166b5e04626fb6d6d,A Review on Face Recognition in various Illuminations,"A Review on Face Recognition in various
+Illuminations
+Saurabh D. Parmar , Vaishali j. kalariya
+CE/IT Department-School of Engineering,R.K. University,Rajkot"

+cd0a04c0af9b6c523884415ba54bff370fd02fab,Generalized Sparselet Models for Real-Time Multiclass Object Recognition,"Generalized Sparselet Models for Real-Time
+Multiclass Object Recognition
+Hyun Oh Song, Ross Girshick, Stefan Zickler, Christopher Geyer, Pedro Felzenszwalb, and Trevor Darrell"

+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"

+cd0f7b3f545cc4bfa5e2d7185789e8ead7e3cee2,"Children’s and Adults’ Predictions of Black, White, and Multiracial Friendship Patterns","Journal of Cognition and Development
+ISSN: 1524-8372 (Print) 1532-7647 (Online) Journal homepage: http://www.tandfonline.com/loi/hjcd20
+Children’s and Adults’ Predictions of Black, White,
+nd Multiracial Friendship Patterns
+Steven O. Roberts, Amber D. Williams & Susan A. Gelman
+To cite this article: Steven O. Roberts, Amber D. Williams & Susan A. Gelman (2017) Children’s
+nd Adults’ Predictions of Black, White, and Multiracial Friendship Patterns, Journal of Cognition
+nd Development, 18:2, 189-208, DOI: 10.1080/15248372.2016.1262374
+To link to this article:  http://dx.doi.org/10.1080/15248372.2016.1262374
+Accepted author version posted online: 22
+Nov 2016.
+Published online: 22 Nov 2016.
+Submit your article to this journal
+Article views: 91
+View related articles
+View Crossmark data
+Citing articles: 1 View citing articles
+Full Terms & Conditions of access and use can be found at
+http://www.tandfonline.com/action/journalInformation?journalCode=hjcd20
+Download by: [University of Michigan]"

+cd596a2682d74bdfa7b7160dd070b598975e89d9,Mood Detection: Implementing a facial expression recognition system,"Mood Detection: Implementing a facial
+expression recognition system
+Neeraj Agrawal, Rob Cosgriff and Ritvik Mudur
+. Introduction
+Facial  expressions  play  a  significant  role  in  human  dialogue.  As  a  result,  there  has  been
+onsiderable work done on the recognition of emotional expressions and the  application of this
+research  will  be  beneficial  in  improving  human-machine  dialogue.  One  can  imagine  the
+improvements  to  computer  interfaces,  automated  clinical  (psychological)  research  or  even
+interactions between humans and autonomous robots.
+Unfortunately,  a  lot  of  the  literature  does  not  focus  on  trying  to  achieve  high  recognition  rates
+cross  multiple  databases.  In  this  project  we  develop  our  own  mood  detection  system  that
+ddresses  this  challenge.  The  system  involves  pre-processing  image  data  by  normalizing  and
+pplying a simple mask, extracting certain (facial) features using PCA and Gabor filters and then
+using SVMs for classification and recognition of expressions. Eigenfaces for each class are used
+to  determine  class-specific  masks  which  are  then  applied  to  the  image  data  and  used  to  train
+multiple,  one  against  the  rest,  SVMs.  We  find  that  simply  using  normalized  pixel  intensities
+works well with such an approach.
+Figure 1 – Overview of our system design
+. Image pre-processing
+We performed pre-processing on the images used to train and test our algorithms as follows:"

+cd490432e35ed5c5b7d80e1525e2780d7467ffb6,Background Estimation of Lost Values Using Kinect’s Sensor in an Inpainting Technique,"International Journal of Scientific Research Engineering & Technology (IJSRET), ISSN 2278 – 0882
+Vo lu me 3, Issue 8, Nove mber 2014
+BACKGROUND ESTIMATION OF LOST VALUES USING
+KINECT’S SENSOR IN AN INPAINTING TECHNIQUE
+* PG Schola r, Dept of EEE [Embedded systems technologies], #Assistant Professsor,
+Dept of EEE, Kongunadu College Of Engineering & Technology,Trichy, Ta mil Nadu, India
+*S.Kavitha, #Ms.S.Hemalatha"

+cd5ef3aeebc231e2c833ef55cf0571aa990c5ff8,Image Quality Assessment Techniques Improve Training,"Under review as a conference paper at ICLR 2018
+IMAGE QUALITY ASSESSMENT TECHNIQUES IMPROVE
+TRAINING AND EVALUATION OF ENERGY-BASED
+GENERATIVE ADVERSARIAL NETWORKS
+Anonymous authors
+Paper under double-blind review"

+cda4fb9df653b5721ad4fe8b4a88468a410e55ec,Gabor wavelet transform and its application,"Gabor wavelet transform and its application
+Wei-lun Chao R98942073"

+cd855c776240150f4dba7a5975c7011a9c6737ac,On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach,"On Accurate and Reliable Anomaly Detection for Gas Turbine
+Combustors: A Deep Learning Approach
+Weizhong Yan1 and Lijie Yu2
+General Electric Global Research Center, Niskayuna, New York 12309, USA
+General Electric Power & Water Engineering, Atlanta, Georgia 30339, USA"

+cdba015be9db1e047a51b7e06403528b3551587e,SHOG - Spherical HOG Descriptors for Rotation Invariant 3D Object Detection,"SHOG - Spherical HOG Descriptors for
+Rotation Invariant 3D Object Detection
+Henrik Skibbe1,3, Marco Reisert2 and Hans Burkhardt1,3
+Department of Computer Science, University of Freiburg, Germany
+Dept. of Diagnostic Radiology, Medical Physics, University Medical Center, Freiburg
+Center for Biological Signalling Studies (BIOSS), University of Freiburg"

+cd3005753012409361aba17f3f766e33e3a7320d,Multilinear Biased Discriminant Analysis: A Novel Method for Facial Action Unit Representation,"Multilinear Biased Discriminant Analysis: A Novel Method for Facial
+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"

+cd4252d1f0a124dcc91af28f527ad1fa7be3a195,Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms,"Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms
+{tag}                                                 {/tag}
+International Journal of Computer Applications
+Foundation of Computer Science (FCS), NY, USA
+Volume 134
+Number 7
+Year of Publication: 2016
+Authors:
+Filani Araoluwa S., Adetunmbi Adebayo O.
+10.5120/ijca2016907932
+{bibtex}2016907932.bib{/bibtex}"

+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"

+cca228b47a603a9b9e2a1e3a1b278b35612d078d,Randomized Face Recognition on Partially Occluded Images,"Randomized Face Recognition on Partially
+Occluded Images
+Ariel Morelli Andres, Sebastian Padovani, Mariano Tepper, Marta Mejail, and
+Julio Jacobo
+Departamento de Computación, Facultad de Ciencias Exactas y Naturales,
+Universidad de Buenos Aires, Argentina."

+ccfcbf0eda6df876f0170bdb4d7b4ab4e7676f18,A Dynamic Appearance Descriptor Approach to Facial Actions Temporal Modeling,"JOURNAL OF LATEX CLASS FILES, VOL. 6, NO. 1, JUNE 2011
+A Dynamic Appearance Descriptor Approach to
+Facial Actions Temporal Modelling
+Bihan Jiang, Student Member, IEEE, Michel Valstar, Member, IEEE, Brais Martinez, Member, IEEE, and
+Maja Pantic, Fellow, IEEE"

+ccd5bd5ce40640ebc6665b97a86ba3d28e457d11,Contributions to a fast and robust object recognition in images. (Contributions à une reconnaissance d'objet rapide et robuste en images),"Contributions to a fast and robust object recognition in
+images
+J´erˆome Revaud
+To cite this version:
+J´erˆome Revaud. Contributions to a fast and robust object recognition in images. Other [cs.OH].
+INSA de Lyon, 2011. English. <NNT : 2011ISAL0042>. <tel-00694442>
+HAL Id: tel-00694442
+https://tel.archives-ouvertes.fr/tel-00694442
+Submitted on 4 May 2012
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destin´ee au d´epˆot et `a la diffusion de documents
+scientifiques de niveau recherche, publi´es ou non,
+´emanant des ´etablissements d’enseignement et de
+recherche fran¸cais ou ´etrangers, des laboratoires"

+cc5f4d5aa9c3ffa75a335f3305a1caf9cbdeb71f,Learning Hierarchical Representations for Video Analysis Using Deep Learning,"LEARNING HIERARCHICAL REPRESENTATIONS FOR VIDEO ANALYSIS USING DEEP
+LEARNING
+YANG YANG
+B.S. Beijing University of Technology, 2008
+A dissertation submitted in partial fulfilment of the requirements
+for the degree of Doctor of Philosophy
+in the Department of Electrical Engineering and Computer Science
+in the College of Engineering and Computer Science
+t the University of Central Florida
+Orlando, Florida
+Summer Term
+Major Professor: Mubarak Shah"

+cc34b0ab84e82a6d8ebce08eff1b7556026b5352,Face Recognition using Gaussian Hermite Moments,"Special Issue of International Journal of Computer Applications (0975 – 8887)
+on Software Engineering, Databases and Expert Systems – SEDEXS, September 2012
+D Face Recognition using Gaussian Hermite Moments
+Naouar Belghini
+Faculty of Technical Sciences
+B.P. 2202 – Road of Imouzzer
+Fez – Morocco
+Arsalane Zarghili
+Faculty of Technical Sciences
+B.P. 2202 – Road of Imouzzer
+Fez – Morocco
+Jamal Kharroubi
+Faculty of Technical Sciences
+B.P. 2202 – Road of Imouzzer
+Fez – Morocco"

+ccf5852bfb55e1fa6760f76139ab44dab89f2a17,"Recognize Faces across Multi - View Videos and under Varying Illumination , Facial Expressions","Recognize Faces across Multi-View Videos and
+under Varying Illumination, Facial Expressions
+Research Scholar, Dept. Electronics & Communication Engineering,
+Mr. Steven Lawrence Fernandes1
+Karunya University,
+Coimbatore, Tamil Nadu, India
+Professor, Dept. Electronics & Communication Engineering,
+Dr. G. Josemin Bala2
+Karunya University,
+Coimbatore, Tamil Nadu, India"

+cc392ab1cfaee298e05488a4a1d84ece12220880,A new multi-scale fuzzy model for Histogram-Based Descriptors,"A NEW MULTI-SCALE FUZZY MODEL FOR HISTOGRAM-BASED DESCRIPTORS
+Lunshao Chaia, Zhen Qinb, Honggang Zhanga, Jun Guoa, Bir Bhanub
+Beijing University of Posts and Telecomuunictions, Beijing, 100876, China
+University of California at Riverside, Riverside, CA 92521, USA"

+cc3e1a6376928138dff5582b7a56d40cfb3b7367,Cost-Effective Features for Reidentification in Camera Networks,"Cost-effective features for
+re-identification in camera networks
+Syed Fahad Tahir and Andrea Cavallaro"

+cc2df3a03ee731478ed48838c284ad4548563308,Towards a Better Metric for Evaluating Question Generation Systems,"Towards a Better Metric for Evaluating Question Generation Systems
+Preksha Nema†‡ Mitesh M. Khapra†‡
+IIT Madras, India
+Robert Bosch Center for Data Science and Artificial Intelligence, IIT Madras"

+ccd2152c77ae65e4d3d0988990f6e243133a5efc,Learning Human Activities and Poses with Interconnected Data,"Copyright
+Chao-Yeh Chen"

+cc3c273bb213240515147e8be68c50f7ea22777c,Gaining Insight Into Films Via Topic Modeling & Visualization,"Gaining Insight Into Films
+Via Topic Modeling & Visualization
+MISHA RABINOVICH, MFA
+YOGESH GIRDHAR, PHD
+KEYWORDS Collaboration, computer vision, cultural
+nalytics, economy of abundance, interactive data
+visualization
+We moved beyond misuse when the software actually
+ecame useful for film analysis with the addition of audio
+nalysis, subtitle analysis, facial recognition, and topic
+modeling. Using multiple types of visualizations and
+back-and-fourth workflow between people and AI
+we arrived at an approach for cultural analytics that
+an be used to review and develop film criticism. Finally,
+we present ways to apply these techniques to Database
+Cinema and other aspects of film and video creation.
+PROJECT DATE 2014
+URL http://misharabinovich.com/soyummy.html"

+cc8e378fd05152a81c2810f682a78c5057c8a735,Expression Invariant Face Recognition System based on Topographic Independent Component Analysis and Inner Product Classifier,"International Journal of Computer Sciences and Engineering    Open Access
+Research Paper                                          Volume-5, Issue-12                                          E-ISSN: 2347-2693
+Expression Invariant Face Recognition System based on Topographic
+Independent Component Analysis and Inner Product Classifier
+Aruna Bhat
+Department of Electrical Engineering, IIT Delhi, New Delhi, India
+*Corresponding Author:
+Available online at: www.ijcseonline.org
+Received: 07/Nov/2017, Revised: 22/Nov/2017, Accepted: 14/Dec/2017, Published: 31/Dec/2017"

+cc5a62bd7c45a9ca479506acb572566331354fa3,Eye localization through multiscale sparse dictionaries,"Eye Localization through Multiscale Sparse Dictionaries
+Fei Yang, Junzhou Huang, Peng Yang and Dimitris Metaxas"

+ccf43c62e4bf76b6a48ff588ef7ed51e87ddf50b,Nutraceuticals and Cosmeceuticals for Human Beings–An Overview,"American Journal of Food Science and Health
+Vol. 2, No. 2, 2016, pp. 7-17
+http://www.aiscience.org/journal/ajfsh
+ISSN: 2381-7216 (Print); ISSN: 2381-7224 (Online)
+Nutraceuticals and Cosmeceuticals for Human
+Beings–An Overview
+R. Ramasubramania Raja*
+Department of Pharmacognosy, Narayana Pharmacy College, Nellore, India"

+cc622a0ac114821be935ca9c66cc177b93e18876,Anomaly Detection Based on Trajectory Analysis Using Kernel Density Estimation and Information Bottleneck Techniques,"Anomaly Detection Based on Trajectory Analysis
+Using Kernel Density Estimation and Information
+Bottleneck Techniques
+Yuejun Guo, Qing Xu(cid:3), Yu Yang, Sheng Liang, Yu Liu, Mateu Sbert"

+cc09cf5831fcae802ed2905a61ab502956655bbe,Shape-based instance detection under arbitrary viewpoint,"Shape-based instance detection under arbitrary
+viewpoint
+Edward Hsiao and Martial Hebert"

+cc31db984282bb70946f6881bab741aa841d3a7c,Learning Grimaces by Watching TV,"ALBANIE, VEDALDI: LEARNING GRIMACES BY WATCHING TV
+Learning Grimaces by Watching TV
+Samuel Albanie
+http://www.robots.ox.ac.uk/~albanie
+Andrea Vedaldi
+http://www.robots.ox.ac.uk/~vedaldi
+Engineering Science Department
+Univeristy of Oxford
+Oxford, UK"

+cc246025ec8e1d32ecfbeefaba0727fdf73cd9cb,Vehicle Tracking by Simultaneous Detection and Viewpoint Estimation,"Vehicle Tracking by Simultaneous Detection and
+Viewpoint Estimation
+Ricardo Guerrero-G´omez-Olmedo1, Roberto L´opez-Sastre1, Saturnino
+Maldonado-Basc´on1, and Antonio Fern´andez-Caballero2
+GRAM, Department of Signal Theory and Communications, UAH, Alcal´a de Henares, Spain.
+Department of Computing Systems, UCLM, Albacete, Spain."

+cc9f473584c1a7f224b42d4a3a3ea2864173cc28,Hephaestus: Data Reuse for Accelerating Scientific Discovery,"Hephaestus: Data Reuse for
+Accelerating Scientific Discovery
+Jennie Duggan
+Northwestern EECS"

+cc91001f9d299ad70deb6453d55b2c0b967f8c0d,Performance Enhancement of Face Recognition in Smart TV Using Symmetrical Fuzzy-Based Quality Assessment,"OPEN ACCESS
+ISSN 2073-8994
+Article
+Performance Enhancement of Face Recognition in Smart TV
+Using Symmetrical Fuzzy-Based Quality Assessment
+Yeong Gon Kim, Won Oh Lee, Ki Wan Kim, Hyung Gil Hong and Kang Ryoung Park *
+Division of Electronics and Electrical Engineering, Dongguk University, 26 Pil-dong 3-ga, Jung-gu,
+Seoul 100-715, Korea; E-Mails: (Y.G.K.); (W.O.L.);
+(K.W.K.); (H.G.H.)
+*  Author to whom correspondence should be addressed; E-Mail:
+Tel.: +82-10-3111-7022; Fax: +82-2-2277-8735.
+Academic Editor: Christopher Tyler
+Received: 31 March 2015 / Accepted: 21 August 2015 / Published: 25 August 2015"

+cc96eab1e55e771e417b758119ce5d7ef1722b43,An Empirical Study of Recent Face Alignment Methods,"An Empirical Study of Recent
+Face Alignment Methods
+Heng Yang, Xuhui Jia, Chen Change Loy and Peter Robinson"

+cc4a2cab31ed06d0d8723df0bdf8cd0ece71bbe9,Analysis of Using Metric Access Methods for Visual Search of Objects in Video Databases,"Analysis of Using Metric Access Methods for Visual Search
+of Objects in Video Databases
+Henrique Batista da Silva 1
+Zenilton Kleber Gonçalves do Patrocínio Júnior 2
+Silvio Jamil Ferzoli Guimarães 2"

+cc2bb4318191a04e3fc82c008c649f5b90151e4d,Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering,"Published as a conference paper at ICLR 2018
+BEYOND SHARED HIERARCHIES: DEEP MULTITASK
+LEARNING THROUGH SOFT LAYER ORDERING
+Elliot Meyerson & Risto Miikkulainen
+The University of Texas at Austin and Sentient Technologies, Inc.
+{ekm,"

+cca198ae698e7956992f2fb326c04965b2964a18,Learning Pain from Emotion: Transferred HoT Data Representation for Pain Intensity Estimation,"Learning Pain from Emotion: Transferred HoT
+Data Representation for Pain Intensity
+Estimation
+Corneliu Florea1, Laura Florea1, and Constantin Vertan1
+Image Processing and Applications Laboratory,
+{corneliu.florea; laura.florea; constantin.vertan}
+University “Politehnica” of Bucharest,"

+e6d50d65a87425e7f0b4ec08c53d200f12f75590,The Neural Dynamics of Facial Identity Processing: Insights from EEG-Based Pattern Analysis and Image Reconstruction,"New Research
+Sensory and Motor Systems
+The Neural Dynamics of Facial Identity
+Processing: Insights from EEG-Based Pattern
+Analysis and Image Reconstruction
+Dan Nemrodov,1 Matthias Niemeier,1 Ashutosh Patel,1 and Adrian Nestor1
+DOI:http://dx.doi.org/10.1523/ENEURO.0358-17.2018
+Department of Psychology, University of Toronto Scarborough, 1265 Military Trail, Toronto, Ontario M1C1A4,
+Canada"

+e64b683e32525643a9ddb6b6af8b0472ef5b6a37,Face Recognition and Retrieval in Video,"Face Recognition and Retrieval in Video
+Caifeng Shan"

+e68b1fdc4e515f947c96f65ec7ac2521edbc06b2,ROS Wrapper for Real-Time Multi-Person Pose Estimation with a Single Camera,"Technical Report
+IRI--TR-17-02
+ROS Wrapper
+for Real-Time Multi-Person
+Pose Estimation
+with a Single Camera
+Autor
+Miguel Arduengo
+Sven Jens Jorgensen
+Supervisors
+Kimberly Hambuchen
+Luis Sentis
+Francesc Moreno
+Guillem Alenyà
+July 2017
+Institut de Robòtica i Informàtica Industrial"

+e6d8f332ae26e9983d5b42af4466ff95b55f2341,Pose-Normalized Image Generation for Person Re-identification,"Pose-Normalized Image Generation for Person Re-identification
+Xuelin Qian1, Yanwei Fu1, Tao Xiang2, Wenxuan Wang1
+Jie Qiu3, Yang Wu3, Yu-Gang Jiang1, Xiangyang Xue1
+Fudan University; 2Queen Mary University of London;
+Nara Institute of Science and Technology;"

+e63f4867c73eff9ff7cdf31246585a6915acef57,Digging Into Self-Supervised Monocular Depth Estimation,"Digging Into Self-Supervised
+Monocular Depth Estimation
+Cl´ement Godard
+Oisin Mac Aodha
+Gabriel J. Brostow"

+e6af98d1567dad534262ec0863264bb26157533f,On Multi-scale Differential Features and Their Representations for Image Retrieval and Recognition,"ON MULTI-SCALE DIFFERENTIAL FEATURES AND THEIR
+REPRESENTATIONS FOR IMAGE RETRIEVAL AND RECOGNITION
+A Dissertation Presented
+SRINIVAS S. RAVELA
+Submitted to the Graduate School of the
+University of Massachusetts Amherst in partial fulfillment
+of the requirements for the degree of
+DOCTOR OF PHILOSOPHY
+February 2003
+Department of Computer Science"

+e624c73e3057a1de75e9d6d7e813771154ff1375,Incorporating Scalability in Unsupervised Spatio- Temporal Feature Learning,"INCORPORATING SCALABILITY IN UNSUPERVISED SPATIO-TEMPORAL FEATURE
+LEARNING
+Sujoy Paul, Sourya Roy and Amit K. Roy-Chowdhury
+Dept. of Electrical and Computer Engineering, University of California, Riverside, CA 92521"

+e6b45d5a86092bbfdcd6c3c54cda3d6c3ac6b227,Pairwise Relational Networks for Face Recognition,"Pairwise Relational Networks for Face
+Recognition
+Bong-Nam Kang1[0000−0002−6818−7532], Yonghyun Kim2[0000−0003−0038−7850],
+nd Daijin Kim1,2[0000−0002−8046−8521]
+Department of Creative IT Engineering, POSTECH, Korea
+Department of Computer Science and Engineering, POSTECH, Korea"

+e68083909381a8fbd0e4468aa06204ac00a0e6fc,Visual Identification by Signature Tracking,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 25, NO. 2, FEBRUARY 2003
+Visual Identification by Signature Tracking
+Mario E. Munich, Member, IEEE, and Pietro Perona, Member, IEEE"

+e6865b000cf4d4e84c3fe895b7ddfc65a9c4aaec,"Tobias Siebenlist , Kathrin Knautz Chapter 15 . The critical role of the cold - start problem and incentive systems in emotional Web 2 . 0 services","Tobias Siebenlist, Kathrin Knautz
+Chapter 15. The critical role of the
+old-start problem and incentive systems
+in emotional Web 2.0 services"

+e6d689054e87ad3b8fbbb70714d48712ad84dc1c,Robust Facial Feature Tracking,"Robust Facial Feature Tracking
+Fabrice Bourel, Claude C. Chibelushi, Adrian A. Low
+School of Computing, Staffordshire University
+Stafford ST18 0DG"

+e6868f172df3736e052fec4c00b63780b3d739fe,Effects of a Common Variant in the CD38 Gene on Social Processing in an Oxytocin Challenge Study: Possible Links to Autism,"Effects of a Common Variant in the CD38 Gene on Social
+Processing in an Oxytocin Challenge Study: Possible Links
+to Autism
+Carina Sauer*,1, Christian Montag2, Christiane Wo¨ rner1, Peter Kirsch1,3 and Martin Reuter2,3
+Department of Clinical Psychology, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany;
+Department of Differential and Biological Psychology, Rheinische Friedrich-Wilhelms-University, Bonn, Germany
+The intranasal application of oxytocin (OT) has been shown to influence behavioral and neural correlates of social processing. These
+effects are probably mediated by genetic variations within the OT system. One potential candidate could be the CD38 gene, which codes
+for a transmembrane protein engaged in OT secretion processes. A common variation in this gene (rs3796863) was recently found to
+e associated with autism spectrum disorders (ASD). Using an imaging genetics approach, we studied differential effects of an intranasal
+OT application on neural processing of social stimuli in 55 healthy young men depending on their CD38 gene variant in a double-blind
+placebo-controlled crossover design. Genotype had a significant influence on both behavioral and neuronal measures of social processing.
+Homozygotic risk allele carriers showed slower reaction times (RT) and higher activation of left fusiform gyrus during visual processing of
+social stimuli. Under OT activation differences between genotypes were more evident (though not statistically significantly increased) and
+RT were accelerated in homozygotic risk allele carriers. According to our data, rs3796863 mainly influences fusiform gyrus activation, an
+rea which has been widely discussed in ASD research. OT seems to modulate this effect by enhancing activation differences between
+llele groups, which suggests an interaction between genetic makeup and OT availability on fusiform gyrus activation. These results
+support recent approaches to apply OT as a pharmacological treatment of ASD symptoms.
+Keywords: oxytocin; CD38; social processing; imaging genetics; autism
+INTRODUCTION"

+e63a0ea338dfc7293ddd68074baf250e99d0c6d5,Nonlinear Supervised Dimensionality Reduction via Smooth Regular Embeddings,"Nonlinear Supervised Dimensionality Reduction via
+Smooth Regular Embeddings
+Department of Electrical and Electronics Engineering, METU, Ankara
+Cem ¨Ornek and Elif Vural"

+e6d48d23308a9e0a215f7b5ba6ae30ee5d2f0ef5,Multi-person Tracking by Online Learned Grouping Model with Non-linear Motion Context,"IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. XX, NO. XX, MONTH YEAR
+Multi-person Tracking by Online Learned Grouping
+Model with Non-linear Motion Context
+Xiaojing Chen, Zhen Qin, Le An, Member, IEEE, and Bir Bhanu, Fellow, IEEE"

+e6ca412a05002b51d358c2e3061913c3dab6b810,MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction,

+e6dc1200a31defda100b2e5ddb27fb7ecbbd4acd,Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction,"Flexible Manifold Embedding: A Framework
+for Semi-Supervised and Unsupervised
+Dimension Reduction
+Feiping Nie, Dong Xu, Member, IEEE, Ivor Wai-Hung Tsang, and Changshui Zhang, Member, IEEE
+, the linear regression function ("

+e6e5a6090016810fb902b51d5baa2469ae28b8a1,Title Energy-Efficient Deep In-memory Architecture for NAND Flash Memories,"Title
+Energy-Efficient Deep In-memory Architecture for NAND
+Flash Memories
+Archived version
+Accepted manuscript: the content is same as the published
+paper but without the final typesetting by the publisher
+Published version
+Published paper
+Authors (contact)
+0.1109/ISCAS.2018.8351458"

+e688a6535dbdd6ce6928bc4eb2978f39628e5302,Hand Drawn Sketch Classification Using Convolutional Neural Networks,"SUPPLEMENT ISSUE
+ARTICLE
+HAND DRAWN SKETCH CLASSIFICATION USING
+CONVOLUTIONAL NEURAL NETWORKS
+Habibollah Agh Atabay*
+Department of Computer, Gonbad Kavous University, Gonbad Kavous, IRAN"

+e6aadde93aedc06525523415e574507cf5c8cc44,End-to-end optimization of goal-driven and visually grounded dialogue systems,"End-to-end optimization of goal-driven and visually grounded dialogue systems
+Florian Strub
+Univ. Lille, CNRS, Centrale Lille, Inria,
+UMR 9189 - CRIStAL, F-59000 Lille, France
+Harm de Vries
+University of Montreal
+Jeremie Mary
+Univ. Lille, CNRS, Centrale Lille, Inria,
+UMR 9189 - CRIStAL, F-59000 Lille, France
+Bilal Piot
+DeepMind"

+e605242319ba495bc5f47abe9f1c08d508d83627,Importance-Aware Semantic Segmentation for Autonomous Driving System,Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)

+e6178de1ef15a6a973aad2791ce5fbabc2cb8ae5,Improving Facial Landmark Detection via a Super-Resolution Inception Network,"Improving Facial Landmark Detection via a
+Super-Resolution Inception Network
+Martin Knoche, Daniel Merget, Gerhard Rigoll
+Institute for Human-Machine Communication
+Technical University of Munich, Germany"

+e6beb5d95fa262b8717cc264d79a879285db15d4,Towards Transparent AI Systems: Interpreting Visual Question Answering Models,"Towards Transparent AI Systems:
+Interpreting Visual Question Answering Models
+Yash Goyal, Akrit Mohapatra, Devi Parikh, Dhruv Batra
+{ygoyal, akrit, parikh,
+Virginia Tech"

+e68ef9597613cd2b6cf76e81c13eb061ee468485,Latent Convolutional Models,"Published as a conference paper at ICLR 2019
+LATENT CONVOLUTIONAL MODELS
+ShahRukh Athar
+Skolkovo Institute of Science and Technology (Skoltech), Russia
+Evgeny Burnaev
+Victor Lempitsky∗"

+f9f08511f77c29ff948e146434dfb23608d3deb5,Question Answering Using Match-LSTM and Answer Pointer,"Question Answering Using Match-LSTM and Answer Pointer
+Annie Hu, Cindy Wang, and Brandon Yang
+{anniehu, ciwang,
+CodaLab: anniehu
+March 21, 2016
+Introduction
+Machine comprehension of text is a significant problem in natural language processing today –
+in this project, we tackle machine reading comprehension as applied to question answering. Our
+goal is: given a question and a context paragraph, to extract from the paragraph the answer to
+the question.
+As an oracle, on the dataset we used, humans score over 86.8% accuracy (EM) on the test
+set for this task, while the best models only achieve roughly 75%. Existing approaches to this
+extractive Question Answering problem typically involve an encoding layer that encodes the
+question and paragraph into a sequence, some additional layer that accounts for interaction
+etween the question and paragraph, and a final decoding layer that extracts the answer from
+the paragraph [2][3][4][7]. In this paper, we will follow a similar structure, using LSTMs in our
+encoding and decoding layers, and calculating attention as our interaction layer.
+Dataset
+The dataset used is the recently released Stanford Question Answering Dataset (SQuAD)[1].
+The context paragraphs are extracted from Wikipedia, while questions and answers are human-"

+f984a9bb5c6e7b8a055b810bff468d7f8d80a7ff,Face identification by using fusing Photographic and Thermal Images,"www.jchps.com                                                                    Journal of Chemical and Pharmaceutical Sciences
+Face identification by using fusing Photographic and Thermal Images
+M. Parisa Beham, 2M.R.H. Prasanna, 2SM.Mansoor Roomi and 1H. Jebina
+ISSN: 0974-2115
+Vickram College of Engineering, Tamilnadu, India.
+Thiagarajar College of Engineering, Tamilnadu, India.
+*Corresponding Author:E-Mail"

+f95616b1593467f5b11689582d934da34e6ad1ee,Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game,"Interactive Language Acquisition with One-shot Visual Concept Learning
+through a Conversational Game
+Haichao Zhang†, Haonan Yu†, and Wei Xu †§
+§ National Engineering Laboratory for Deep Learning Technology and Applications, Beijing China
+Baidu Research - Institue of Deep Learning, Sunnyvale USA"

+f96b3122f66c01cb78643d7e1b412e1bae16f2c4,Affective Robots : Evaluation of Automatic Emotion Recognition Approaches on a Humanoid Robot towards Emotionally Intelligent Machines,"World Academy of Science, Engineering and Technology
+International Journal of Mechanical and Mechatronics Engineering
+Vol:12, No:6, 2018
+Affective Robots: Evaluation of Automatic Emotion
+Recognition Approaches on a Humanoid Robot
+towards Emotionally Intelligent Machines
+Silvia Santano Guill´en, Luigi Lo Iacono, Christian Meder"

+f98cbf32989387733529fa4fc943f0a7e97b5c07,To Know and To Learn - About the Integration of Knowledge Representation and Deep Learning for Fine-Grained Visual Categorization,

+f9129b3858c14b5f6cca1fcbf31c4816d94a5038,A Robust 3D-2D Interactive Tool for Scene Segmentation and Annotation,"A Robust 3D-2D Interactive Tool for Scene
+Segmentation and Annotation
+Duc Thanh Nguyen, Binh-Son Hua∗, Lap-Fai Yu, Member, IEEE, and Sai-Kit Yeung, Member, IEEE"

+f98a975642972ce24e42e6957f63be556c11dd31,Dynamic Obstacle Detection of Road Scenes using Equi-Height Mosaicking Image,"Electronic Letters on Computer Vision and Image Analysis 13(2):13-14, 2014
+Dynamic Obstacle Detection of Road Scenes
+using Equi-Height Mosaicking Image
+Min Woo Park and Soon Ki Jung
+School of Computer Science and Engineering, Kyungpook National University,
+80 Daehak-ro, Bukgu, Daegu, Republic of Korea
+Advisor/s: Soon Ki Jung
+Date and location of PhD thesis defense: 3 December 2013, Kyungpook National University
+Received 30 January 2014; accepted 25 May 2014"

+f95f5e43f34e1bfb425b6491fc09558c44d2973d,Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation,"Soft Layer-Specific Multi-Task Summarization
+with Entailment and Question Generation
+Han Guo∗
+Ramakanth Pasunuru∗
+UNC Chapel Hill
+{hanguo, ram,
+Mohit Bansal"

+f9bee6e61833c0323c9175402b73442d27ab9eb8,D Human Poses Estimation from a Single 2 D Silhouette,

+f9028b47a4755a7349108b1dc281f13add5c6c12,Atypical gaze patterns in children and adults with autism spectrum disorders dissociated from developmental changes in gaze behaviour,"Downloaded from
+http://rspb.royalsocietypublishing.org/
+on June 9, 2017
+Proc. R. Soc. B
+doi:10.1098/rspb.2010.0587
+Published online
+Atypical gaze patterns in children and
+dults with autism spectrum disorders
+dissociated from developmental changes
+in gaze behaviour
+Tamami Nakano1,2, Kyoko Tanaka3, Yuuki Endo1, Yui Yamane1,
+Takahiro Yamamoto4, Yoshiaki Nakano4, Haruhisa Ohta2,5,
+Nobumasa Kato2,5 and Shigeru Kitazawa1,2,*
+Department of Neurophysiology, and 3Department of Pediatrics, Juntendo University
+School of Medicine, Tokyo, Japan
+CREST, JST, Saitama, Japan
+Japanese Institute for Education and Treatment, Tokyo, Japan
+5Department of Psychiatry, Showa University School of Medicine, Tokyo, Japan
+Eye tracking has been used to investigate gaze behaviours in individuals with autism spectrum disorder
+(ASD). However, traditional analysis has yet to find behavioural characteristics shared by both children"

+f921e6f5085f1ebbd8289081e499240a89bf6c43,Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach,"Three-Dimensional Face Recognition
+in the Presence of Facial Expressions:
+An Annotated Deformable Model Approach
+Ioannis A. Kakadiaris, Member, IEEE, Georgios Passalis, George Toderici,
+Mohammed N. Murtuza, Yunliang Lu, Nikos Karampatziakis, and Theoharis Theoharis"

+f9fdc63934841a0c4d8d29fdea80e1972ffcfe1e,Pedestrian Using Catadioptric Sensor 12,"Journal of Theoretical and Applied Information Technology
+0th April 2018. Vol.96. No 8
+© 2005 – ongoing  JATIT & LLS
+ISSN: 1992-8645                                                         www.jatit.org                                                        E-ISSN: 1817-3195
+PEDESTRIAN USING CATADIOPTRIC SENSOR
+2BOUI MAROUANE, 2HADJ-ABDELKADER HICHAM, 2ABABSA FAKHR-EDDINE,
+ABOUYAKHF EL HOUSSINE
+LIMIARF University Mohammed V-Rabat
+IBISC, University of Evry, France
+E-mail:"

+f9784db8ff805439f0a6b6e15aeaf892dba47ca0,"Comparing the performance of Emotion-Recognition Implementations in OpenCV, Cognitive Services, and Google Vision APIs","Comparing the performance of Emotion-Recognition Implementations
+in OpenCV, Cognitive Services, and Google Vision APIs
+LUIS ANTONIO BELTRÁN PRIETO, ZUZANA KOMÍNKOVÁ OPLATKOVÁ
+Department of Informatics and Artificial Intelligence
+Tomas Bata University in Zlín
+Nad Stráněmi 4511, 76005, Zlín
+CZECH REPUBLIC"

+f935225e7811858fe9ef6b5fd3fdd59aec9abd1a,Spatiotemporal dynamics and connectivity pattern differences between centrally and peripherally presented faces.,"www.elsevier.com/locate/ynimg
+Spatiotemporal dynamics and connectivity pattern differences
+etween centrally and peripherally presented faces
+Lichan Liu and Andreas A. Ioannides*
+Laboratory for Human Brain Dynamics, RIKEN Brain Science Institute (BSI), 2-1 Hirosawa, Wakoshi, Saitama, 351-0198, Japan
+Received 4 May 2005; revised 26 January 2006; accepted 6 February 2006
+Available online 24 March 2006
+Most neuroimaging studies on face processing used centrally presented
+images with a relatively large visual field. Images presented in this way
+ctivate widespread striate and extrastriate areas and make it difficult
+to study spatiotemporal dynamics and connectivity pattern differences
+from various parts of the visual field. Here we studied magneto-
+encephalographic responses in humans to centrally and peripherally
+presented faces for testing the hypothesis that processing of visual
+stimuli with facial expressions of emotions depends on where the
+stimuli are presented in the visual field. Using our tomographic and
+statistical parametric mapping analyses, we identified occipitotemporal
+reas activated by face stimuli more than by control conditions. V1/V2
+ctivity was significantly stronger for lower than central and upper
+visual field presentation. Fusiform activity, however, was significantly"

+f95ba7673789d1b4118d30e360a5a37fd75d3961,Face Recognition using Modified Generalized Hough Transform and Gradient Distance Descriptor,"Face Recognition using Modified Generalized Hough Transform
+nd Gradient Distance Descriptor
+Marian Moise, Xue Dong Yang and Richard Dosselmann
+Department of Computer Science, University of Regina, 3737 Wascana Parkway, Regina, Saskatchewan, Canada
+Keywords:
+Face Recognition, Generalized Hough Transform, Image Descriptors."

+f93606d362fcbe62550d0bf1b3edeb7be684b000,Nearest Neighbor Classifier Based on Nearest Feature Decisions,"The Computer Journal Advance Access published February 1, 2012
+© The Author 2012. Published by Oxford University Press on behalf of The British Computer Society. All rights reserved.
+For Permissions, please email:
+doi:10.1093/comjnl/bxs001
+Nearest Neighbor Classifier Based
+on Nearest Feature Decisions
+Alex Pappachen James1,∗ and Sima Dimitrijev2
+Machine Intelligence Group, School of Computer Science, Indian Institute of Information Technology and
+Queensland Micro- and Nanotechnology Centre and Griffith School of Engineering, Griffith University,
+Management, Kerala, India
+Nathan, Australia
+Corresponding author:
+High feature dimensionality of realistic datasets adversely affects the recognition accuracy of nearest
+neighbor (NN) classifiers. To address this issue, we introduce a nearest feature classifier that shifts
+the NN concept from the global-decision level to the level of individual features. Performance
+omparisons with 12 instance-based classifiers on 13 benchmark University of California Irvine
+lassification datasets show average improvements of 6 and 3.5% in recognition accuracy and
+rea under curve performance measures, respectively. The statistical significance of the observed
+performance improvements is verified by the Friedman test and by the post hoc Bonferroni–Dunn
+test. In addition, the application of the classifier is demonstrated on face recognition databases, a"

+f94feceb5b725c6b303b758a0e5e90215b0174d3,Learning Non-maximum Suppression,"Learning non-maximum suppression
+Jan Hosang
+Rodrigo Benenson
+Bernt Schiele
+Max Planck Institut für Informatik
+Saarbrücken, Germany"

+f997a71f1e54d044184240b38d9dc680b3bbbbc0,Deep Cross Modal Learning for Caricature Verification and Identification(CaVINet),"Deep Cross Modal Learning for Caricature Verification and
+Identification(CaVINet)
+https://lsaiml.github.io/CaVINet/
+Jatin Garg∗
+Indian Institute of Technology Ropar
+Himanshu Tolani∗
+Indian Institute of Technology Ropar
+Skand Vishwanath Peri∗
+Indian Institute of Technology Ropar
+Narayanan C Krishnan
+Indian Institute of Technology Ropar"

+f96970f75b0f37787a47073bf7d02111f45abe83,3 D Face Recognition Performance under Adversarial Conditions,

+f9d1f12070e5267afc60828002137af949ff1544,Maximum Entropy Binary Encoding for Face Template Protection,"Maximum Entropy Binary Encoding for Face Template Protection
+Rohit Kumar Pandey
+Yingbo Zhou
+Bhargava Urala Kota
+Venu Govindaraju
+University at Buffalo, SUNY
+{rpandey, yingbozh, buralako,"

+f0f876b5bf3d442ef9eb017a6fa873bc5d5830c8,"LOH and Behold: Web-Scale Visual Search, Recommendation and Clustering Using Locally Optimized Hashing","LOH and Behold: Web-scale visual search,
+recommendation and clustering using Locally
+Optimized Hashing
+Yannis Kalantidis:, Lyndon Kennedy;‹, Huy Nguyen:,
+Clayton Mellina: and David A. Shamma§‹
+:Computer Vision and Machine Learning Group, Flickr, Yahoo
+;Futurewei Technologies Inc.
+§CWI: Centrum Wiskunde & Informatica, Amsterdam"

+f00e51ec0e3894bdb2977a01824f37b15bb82c6e,A Gaussian Approximation of Feature Space for Fast Image Similarity,"Computer Science and ArtificialIntelligence LaboratoryTechnical Reportmassachusetts institute of technology, cambridge, ma 02139 usa — www.csail.mit.eduMIT-CSAIL-TR-2012-032October 1, 2012A Gaussian Approximation of Feature Space for Fast Image Similarity Michael Gharbi, Tomasz Malisiewicz, Sylvain Paris, and FrØdo Durand"

+f0ca04fe6de04a46f44dabd8744b4163e8e0b4d3,Low-Resolution and Low-Quality Face Super-Resolution in Monitoring Scene via Support-Driven Sparse Coding,"J Sign Process Syst (2014) 75:245–256
+DOI 10.1007/s11265-013-0804-9
+Low-Resolution and Low-Quality Face Super-Resolution
+in Monitoring Scene via Support-Driven Sparse Coding
+Junjun Jiang & Ruimin Hu & Zhen Han & Zhongyuan Wang
+Received: 25 April 2013 / Revised: 2 June 2013 / Accepted: 4 June 2013 / Published online: 26 June 2013
+# Springer Science+Business Media New York 2013"

+f006161327d3ea3484064c1a86e4c87c729fd7b8,Rough Sets Methods in Feature Reduction and Classification,"Int. J. Appl. Math. Comput. Sci., 2001, Vol.11, No.3, 565{582
+ROUGH SETS METHODS IN FEATURE REDUCTION
+AND CLASSIFICATION
+Roman W. (cid:145)WINIARSKI(cid:3)
+The paper presents an application of rough sets and statistical methods to fea-
+ture reduction and pattern recognition. The presented description of rough sets
+theory emphasizes the role of rough sets reducts in feature selection and data
+reduction in pattern recognition. The overview of methods of feature selection
+emphasizes feature selection criteria, including rough set-based methods. The
+paper also contains a description of the algorithm for feature selection and re-
+duction based on the rough sets method proposed jointly with Principal Compo-
+nent Analysis. Finally, the paper presents numerical results of face recognition
+experiments using the learning vector quantization neural network, with feature
+selection based on the proposed principal components analysis and rough sets
+methods.
+Keywords: rough sets, feature selection, classi(cid:12)cation
+. Introduction
+One of the fundamental steps in classi(cid:12)er design is reduction of pattern dimensional-
+ity through feature extraction and feature selection (Cios et al., 1998; Kittler, 1986;
+Langley and Sage, 1994; Liu and Motoda, 1999). Feature selection is often isolated as"

+f08266cea120e8aa091983da5269ee5e35febe75,Semantic Diversity versus Visual Diversity in Visual Dictionaries,"Semantic Diversity versus Visual Diversity
+in Visual Dictionaries
+Ot´avio A. B. Penatti, Sandra Avila, Member, IEEE, Eduardo Valle, Ricardo da S. Torres, Member, IEEE"

+f0e17f27f029db4ad650ff278fe3c10ecb6cb0c4,The EuroCity Persons Dataset: A Novel Benchmark for Object Detection,"The EuroCity Persons Dataset:
+A Novel Benchmark for Object Detection
+Markus Braun, Sebastian Krebs, Fabian Flohr, and Dariu M. Gavrila"

+f0865d11131a84ef1d91e1c8b5718692f153267d,Explaining Autism Spectrum Disorders,"Articles in PresS. J Neurophysiol (May 28, 2014). doi:10.1152/jn.00242.2014
+EXPLAINING AUTISM SPECTRUM DISORDERS
+Explaining autism spectrum disorders: central coherence versus predictive coding theories.
+Target Article: Stevenson, R. A., Siemann, J. K., Schneider, B. C., Eberly, H. E., Woynaroski, T. G.,
+Camarata, S. M., & Wallace, M. T. (2014). Multisensory Temporal Integration in Autism Spectrum
+Disorders. The Journal of Neuroscience, 34(3), 691-697. doi: 10.1523/jneurosci.3615-13.2014
+Jason S. Chan* & Marcus J. Naumer
+Institute of Medical Psychology
+Goethe-University, Frankfurt
+KEYWORDS: Autism Spectrum Disorder, Multisensory Integration, Temporal Binding Window
+Acknowledgements: This was funded by the Hessian initiative for the development of scientific and
+economic excellence (LOEWE) Neuronal Coordination Research Focus Frankfurt (NeFF).
+*Corresponding author:
+Jason Chan
+Copyright © 2014 by the American Physiological Society."

+f0cee87e9ecedeb927664b8da44b8649050e1c86,Image Ordinal Classification and Understanding: Grid Dropout with Masking Label,"label:(1, 0, 1, 0, 1, 1, 1, 1, 1)Masking label:(0, 1, 1, 1, 0, 1, 1, 1, 1)Entire imageInput imageNeuron dropout’s gradCAMGrid dropout’s gradCAMFig.1.Above:imageordinalclassificationwithrandomlyblackoutpatches.Itiseasyforhumantorecognizetheageregardlessofthemissingpatches.Themaskinglabelisalsousefultoimageclassification.Bottom:griddropout’sgrad-CAMisbetterthanthatofneurondropout.Thatistosay,griddropoutcanhelplearningfeaturerepresentation.problem[1].Withtheproliferationofconvolutionalneuralnetwork(CNN),workshavebeencarriedoutonordinalclas-sificationwithCNN[1][2][3].Thoughgoodperformanceshavebeenloggedwithmoderndeeplearningapproaches,therearetwoproblemsinimageordinalclassification.Ononehand,theamountofordinaltrainingdataisverylim-itedwhichprohibitstrainingcomplexmodelsproperly,andtomakemattersworse,collectinglargetrainingdatasetwithordinallabelisdifficult,evenharderthanlabellinggenericdataset.Therefore,insufficienttrainingdataincreasestheriskofoverfitting.Ontheotherhand,lessstudiesareconductedtounderstandwhatdeepmodelshavelearnedonordinaldata978-1-5386-1737-3/18/$31.00c(cid:13)2018IEEE"

+f0f4f16d5b5f9efe304369120651fa688a03d495,Temporal Generative Adversarial Nets,"Temporal Generative Adversarial Nets
+Masaki Saito∗
+Eiichi Matsumoto∗
+Preferred Networks inc., Japan
+{msaito,"

+f0d29be1a93158d320bef285442f63bb090f6c31,An Online and Flexible Multi-Object Tracking Framework using Long Short-Term Memory,"An Online and Flexible Multi-Object Tracking Framework using Long
+Short-Term Memory
+Xingyu Wan, Jinjun Wang, Sanping Zhou
+Xi’an Jiaotong University
+Institute of Artificial Intelligence and Robotics
+8 West Xianning Road, Xi’an, Shaanxi, China, 710049"

+f0ae807627f81acb63eb5837c75a1e895a92c376,Facial Landmark Detection using Ensemble of Cascaded Regressions,"International Journal of Emerging Engineering Research and Technology
+Volume 3, Issue 12, December 2015, PP 128-133
+ISSN 2349-4395 (Print) & ISSN 2349-4409 (Online)
+Facial  Landmark  Detection  using  Ensemble  of  Cascaded
+Regressions
+Martin Penev1*, Ognian Boumbarov2
+Faculty of Telecommunications, Technical University, Sofia, Bulgaria
+Faculty of Telecommunications, Technical University, Sofia, Bulgaria"

+f06f3e1cef2d04af915a932e83b22e46a45f3b73,Action understanding and social learning in Autism: a developmental perspective,"Life Span and Disability / XIV, 1 (2011), 7-29
+Action understanding and social learning in Autism:
+developmental perspective
+Giacomo Vivanti1 & Sally J. Rogers2"

+f0dd265dfbe9ffe86ca56ba053335626720059a3,CNN Fixations: An unraveling approach to visualize the discriminative image regions,"CNN Fixations: An unraveling approach to
+visualize the discriminative image regions
+Konda Reddy Mopuri*, Utsav Garg*, R. Venkatesh Babu, Senior Member, IEEE"

+f0aac566e3d2c06759b8f4f45a270d5af93b9705,Ear Structure Feature Extraction Based on Multi-scale Hessian Matrix,"International Journal of Signal Processing, Image Processing and Pattern Recognition
+Vol.9, No.5 (2016), pp.159-172
+http://dx.doi.org/10.14257/ijsip.2016.9.5.14
+Ear Structure Feature Extraction Based on Multi-scale Hessian
+Matrix
+,Ban Xiaojuan*1, Wang Guosheng3 and Tian Ying2
+Ma Chi1,2,3
+School of Computer & Communication Engineering, University of Science and
+College of Software, University of Science and Technology LiaoNing, Anshan,
+Technology Beijing, Beijing, China
+Beihai Yinhe Industry Investment Co.,Ltd., Beihai, China
+China"

+f0d18a5d205c23d1309387dfbd4ecfbcf3b1687e,Atypical neural modulation in the right prefrontal cortex during an inhibitory task with eye gaze in autism spectrum disorder as revealed by functional near-infrared spectroscopy.,"Terms of Use: https://journals.spiedigitallibrary.org/terms-of-use
+Atypicalneuralmodulationintherightprefrontalcortexduringaninhibitorytaskwitheyegazeinautismspectrumdisorderasrevealedbyfunctionalnear-infraredspectroscopyTakahiroIkedaMasahiroHiraiTakeshiSakuradaYukifumiMondenTatsuyaTokudaMasakoNagashimaHideoShimoizumiIppeitaDanTakanoriYamagataTakahiroIkeda,MasahiroHirai,TakeshiSakurada,YukifumiMonden,TatsuyaTokuda,MasakoNagashima,HideoShimoizumi,IppeitaDan,TakanoriYamagata,“Atypicalneuralmodulationintherightprefrontalcortexduringaninhibitorytaskwitheyegazeinautismspectrumdisorderasrevealedbyfunctionalnear-infraredspectroscopy,”Neurophoton.5(3),035008(2018),doi:10.1117/1.NPh.5.3.035008."

+f09432b7f470268c28d3d4ebd17a44773b678900,Structured Attentions for Visual Question Answering,"Structured Attentions for Visual Question Answering
+Chen Zhu, Yanpeng Zhao, Shuaiyi Huang, Kewei Tu, Yi Ma
+{zhuchen, zhaoyp1, huangsy, tukw,
+ShanghaiTech University"

+f07956d0031ff046c5c719296f7916d7897fdd21,A Flexible Real-Time Control System for Autonomous Vehicles,"A Flexible Real-Time Control System for Autonomous Vehicles.
+Johannes Meyer, Armin Strobel
+Institute of Flight Systems and Automatic Control, Technische Universität Darmstadt, Germany 1"

+f0b77702c8f2249ee1f48e51ff9b86faffe177c9,Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation,"Reformulating Level Sets as Deep Recurrent Neural Network Approach
+to Semantic Segmentation
+Ngan Le 1 Kha Gia Quach 1 2 Khoa Luu 1 Marios Savvides 1 Chenchen Zhu 1"

+f040e4fcedca0c07788ecb6e92ad246b9c1697a9,Real-time Multiple Head Tracking Using Texture and Colour Cues,"REAL-TIME MULTIPLE HEAD TRACKING
+USING TEXTURE AND COLOUR CUES
+Vasil Khalidov        Jean-Marc Odobez
+Idiap-RR-02-2017
+FEBRUARY 2017
+Centre du Parc, Rue Marconi 19, P.O. Box 592, CH - 1920 Martigny
+T +41 27 721 77 11  F +41 27 721 77 12   www.idiap.ch"

+f0a0f341fa1f91ee58a5020297bea02f8863cb26,Learning Deep Semantic Embeddings for Cross-Modal Retrieval,"Proceedings of Machine Learning Research 77:471–486, 2017
+ACML 2017
+Learning Deep Semantic Embeddings for Cross-Modal
+Retrieval
+Cuicui Kang
+No.89A Minzhuang Road, Beijing, China
+Shengcai Liao∗
+No.95 Zhuangguancun East Road, Beijing, China
+Zhen Li, Zigang Cao, Gang Xiong
+No.89A Minzhuang Road, Beijing, China
+Editors: Yung-Kyun Noh and Min-Ling Zhang"

+f0cc615b14c97482faa9c47eb855303c71ff03a7,Tracklet clustering for robust multiple object tracking using distance dependent Chinese restaurant processes,"SIViP
+DOI 10.1007/s11760-015-0817-x
+ORIGINAL PAPER
+Tracklet clustering for robust multiple object tracking
+using distance dependent Chinese restaurant processes
+Ibrahim Saygin Topkaya1 · Hakan Erdogan1 · Fatih Porikli2,3
+Received: 4 June 2015 / Revised: 19 August 2015 / Accepted: 10 September 2015
+© Springer-Verlag London 2015"

+f0483ebab9da2ba4ae6549b681cf31aef2bb6562,3c-gan: an Condition-context-composite Generative Adversarial Networks for Gen-,"Under review as a conference paper at ICLR 2018
+C-GAN: AN
+CONDITION-CONTEXT-COMPOSITE
+GENERATIVE ADVERSARIAL NETWORKS FOR GEN-
+ERATING IMAGES SEPARATELY
+Anonymous authors
+Paper under double-blind review"

+f04cffcd0cc68e28cf05827ab998cf84b1ab0f3d,Crowdsourced Data Preprocessing with R and Amazon Mechanical Turk,"CONTRIBUTED RESEARCH ARTICLES
+Crowdsourced Data Preprocessing with R
+nd Amazon Mechanical Turk
+y Thomas J. Leeper"

+f0b30a9bb9740c2886d96fc44d6f35b8eacab4f3,Are You Sure You Want To Do That ? Classification with Interpretable Queries,"Are You Sure You Want To Do That?
+Classification with Interpretable Queries
+Anonymous Author(s)
+Affiliation
+Address
+email"

+f736b7cf8388f20bfe9619d63d9c4ce070091863,Automated Crowd Detection in Stadium Arenas,"AUTOMATED CROWD DETECTION IN STADIUM ARENAS
+Loris Nanni, 1 Sheryl Brahnam, 2 Stefano Ghidoni, 1 Emanuele Menegatti1
+DIE, University of Padua, Via Gradenigo, 6 - 35131- Padova – Italy e-mail: {loris.nanni, ghidoni,
+CIS, Missouri State University, 901 S. National, Springfield, MO 65804, USA e-mail:"

+f73b15d33b9dcf329cf605815be7493b162b1fab,SLMotion - An extensible sign language oriented video analysis tool,"SLMotion – An extensible sign language oriented video analysis tool
+Matti Karppa∗, Ville Viitaniemi∗, Marcos Luzardo∗, Jorma Laaksonen∗, Tommi Jantunen†
+Department of Information and Computer Science,
+Aalto University School of Science, Espoo, Finland,
+Sign Language Centre, Department of Languages,
+University of Jyv¨askyl¨a, Finland,
+We present a software toolkit called SLMotion which provides a framework for automatic and semiautomatic analysis, feature extraction
+nd annotation of individual sign language videos, and which can easily be adapted to batch processing of entire sign language corpora.
+The program follows a modular design, and exposes a Numpy-compatible Python application programming interface that makes it easy
+nd convenient to extend its functionality through scripting. The program includes support for exporting the annotations in ELAN
+format. The program is released as free software, and is available for GNU/Linux and MacOS platforms."

+f79267b0f4c0110051c93f9faabe436215e4fc28,Selective Feature Connection Mechanism: Concatenating Multi-layer CNN Features with a Feature Selector,"Selective Feature Connection Mechanism:
+Concatenating Multi-layer CNN Features with a Feature Selector
+Chen Du1,2, Chunheng Wang1, Cunzhao Shi1, Baihua Xiao1
+Institute of Automation, Chinese Academy of Sciences(CASIA)
+University of Chinese Academy of Sciences(UCAS)
+{duchen2016, chunheng.wang, cunzhao.shi,"

+f74dbf3481fc3228ea821da232128b98ad5f7a60,Using low-level motion for high-level vision,"Using Low-Level Motion for
+High-Level Vision
+Ben Daubney
+A dissertation submitted to the University of Bristol in accordance with the
+requirements for the degree of Doctor of Philosophy in the Faculty of Engineering,
+Department of Computer Science.
+July 2009"

+f79c4bf83371627ba139b61eb427463b93cd687b,Learning from Few Examples for Visual Recognition Problems,"Learning from Few Examples for Visual
+Recognition Problems
+Erik Rodner
+Dissertation
+zur Erlangung des akademischen Grades
+doctor rerum naturalium (Dr. rer. nat.)
+vorgelegt dem Rat der Fakultät für Mathematik und Informatik
+der Friedrich-Schiller-Universität Jena"

+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
+On color texture normalization for active appearance models
+Author(s)
+Ionita, Mircea C.; Corcoran, Peter M.; Buzuloiu, Vasile
+Publication
+009-05-12
+Publication
+Information
+Ionita, M. C., Corcoran, P., & Buzuloiu, V. (2009). On Color
+Texture Normalization for Active Appearance Models. Image
+Processing, IEEE Transactions on, 18(6), 1372-1378.
+Publisher
+Link to
+publisher's
+version
+http://dx.doi.org/10.1109/TIP.2009.2017163
+Item record
+http://hdl.handle.net/10379/1350"

+f7db1a670a99fd68dc3c6478eb9aeadc2838a897,Based Pose Invariant Face Recognition,"FEATURE BASED POSE INVARIANT FACE RECOGNITION
+Berk G¨okberk
+BS. in Computer Engineering, Bo˘gazi¸ci University, 1999
+Submitted to the Institute for Graduate Studies in
+Science and Engineering in partial fulfillment of
+the requirements for the degree of
+Master of Science
+Computer Engineering
+Bo˘gazi¸ci University"

+f7580def2dd84a6a083188aadd9c66c99925860b,Effective Use of Synthetic Data for Urban Scene Semantic Segmentation,"Effective Use of Synthetic Data for
+Urban Scene Semantic Segmentation(cid:63)
+Fatemeh Sadat Saleh1,2[0000−0002−3695−9876], Mohammad Sadegh
+Aliakbarian1,2,3[0000−0003−3948−6418], Mathieu Salzmann4[0000−0002−8347−8637],
+Lars Petersson2[0000−0002−0103−1904], and Jose M. Alvarez5[0000−0002−7535−6322]
+ANU, 2 Data61-CSIRO, 3 ACRV, 4 CVLab, EPFL, 5 NVIDIA"

+f7514435495cd76552a4de01652a08ff8c2863c7,Recognition of Emotions From Facial Expression and Situational Cues in Children with Autism,"Dissertations
+Loyola University Chicago
+Loyola eCommons
+Theses and Dissertations
+Recognition of Emotions From Facial Expression
+nd Situational Cues in Children with Autism
+Dina Tell
+Loyola University Chicago
+Recommended Citation
+Tell, Dina, ""Recognition of Emotions From Facial Expression and Situational Cues in Children with Autism"" (2009). Dissertations.
+Paper 234.
+http://ecommons.luc.edu/luc_diss/234
+This Dissertation is brought to you for free and open access by the Theses and Dissertations at Loyola eCommons. It has been accepted for inclusion in
+Dissertations by an authorized administrator of Loyola eCommons. For more information, please contact
+This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
+Copyright © 2009 Dina Tell"

+f755d9b2b7ef66ffdf7504b34167b95d0685c18d,Efficient Online Subspace Learning With an Indefinite Kernel for Visual Tracking and Recognition,"Efficient Online Subspace Learning With
+n Indefinite Kernel for Visual
+Tracking and Recognition
+Stephan Liwicki, Student Member, IEEE, Stefanos Zafeiriou, Member, IEEE,
+Georgios Tzimiropoulos, Member, IEEE, and Maja Pantic, Fellow, IEEE"

+f7dcadc5288653ec6764600c7c1e2b49c305dfaa,Interactive Image Search with Attributes by,"Copyright
+Adriana Ivanova Kovashka"

+f7de943aa75406fe5568fdbb08133ce0f9a765d4,Biometric Identification and Surveillance1,"Project 1.5: Human Identification at a Distance - Hornak, Adjeroh, Cukic, Gautum, & Ross
+Project 1.5
+Biometric Identification and Surveillance1
+Don Adjeroh, Bojan Cukic, Arun Ross – West Virginia University
+Year 5 Deliverable
+Technical Report:
+Research Challenges in Biometrics
+Indexed biography of relevant biometric research literature
+Donald Adjeroh, Bojan Cukic, Arun Ross
+April, 2014
+""This research was supported by the United States Department of Homeland Security through the National Center for Border Security
+nd Immigration (BORDERS) under grant number 2008-ST-061-BS0002. However, any opinions, findings, and conclusions or
+recommendations in this document are those of the authors and do not necessarily reflect views of the United States Department of
+Homeland Security."""

+f75852386e563ca580a48b18420e446be45fcf8d,Illumination Invariant Face Recognition,"ILLUMINATION INVARIANT FACE RECOGNITION
+Raghuraman Gopalan
+ENEE 631: Digital Image and Video Processing
+Instructor: Dr. K. J. Ray Liu
+Term Project - Spring 2006
+INTRODUCTION
+The  performance  of  the  Face  Recognition  algorithms  is  severely  affected  by  two
+important  factors:  the  change  in  Pose  and  Illumination  conditions  of  the  subjects.  The
+hanges in Illumination conditions of the subjects can be so drastic that, the variation in
+lighting will be of the similar order as that of the variation due to the change in subjects
+[1] and this can result in misclassification.
+For example, in the acquisition of the face of a person from a real time video, the
+mbient  conditions  will  cause  different  lighting  variations  on  the  tracked  face.  Some
+examples  of  images  with  different  illumination  conditions  are  shown  in  Fig.  1.  In  this
+project, we study some algorithms that are capable of performing Illumination Invariant
+Face Recognition. The performances of these algorithms were compared on the CMU-
+Illumination dataset [13], by using the entire face as the input to the algorithms. Then, a
+model  of  dividing  the  face  into  four  regions  is  proposed  and  the  performance  of  the
+lgorithms on these new features is analyzed."

+f79ab9baccd466d86460214c5cee9f3be0af4064,Image Segmentation of Medical Images using Automatic Fuzzy C-Mean Clustering,"IJSRD - International Journal for Scientific Research & Development| Vol. 3, Issue 03, 2015 | ISSN (online): 2321-0613
+Image Segmentation of Medical Images using Automatic Fuzzy C-Mean
+Clustering
+Padmini Umorya1 Rajesh Singh2
+Research Scholar 2Assistant Professor
+,2Department of Computer Science and Engineering
+,2NITM College Gwalior, India"

+f7c9bafc66dc8d8002cbb2ea926378bce2b3b251,Emotion Detection Using EEG Signal Analysis,"International Journal of Electronics Communication and Computer Technology (IJECCT)
+Volume 5 Issue 2 (March 2015)
+Emotion Detection Using EEG Signal Analysis
+‘Review’
+K.S. Bhagat
+Assistant Professor,
+Dr. P.M. Mahajan
+Assistant Professo,
+Gunjal P. Waghulade
+M.E. IVth Semester,
+J.T. Mahajan College of ngineering,
+J.T. Mahajan College of ngineering,
+J.T. Mahajan College of ngineering,
+Faizpur, India
+Faizpur, India
+Faizpur, India"

+f7a37cf724aef23d0e714a35d54352243e5b52ee,Entire Reflective Object Surface Structure Understanding,"Q.LU ET AL.: ENTIRE REFLECTIVE OBJECT SURFACE STRUCTURE UNDERSTANDING 1
+Entire Reflective Object Surface Structure
+Understanding
+Qinglin Lu1
+Olivier Laligant1
+Eric Fauvet1
+Anastasia Zakharova2
+University of Burgundy
+Le2i UMR 6306 CNRS
+2,Rue de la Fonderie,71200,France
+INSA Rouen LMI EA3226
+Avenue de l’Université,76800,France"

+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"

+f727b12c905ac585de60811048c9f9dd4188b498,R4-A.2: Rapid Forensic Search & Retrieval in Video Archives,"R4-A.2: Rapid Forensic Search & Retrieval in Video
+Archives"

+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"

+f727837e03a039d9bcec6d02cd87256f5a5854a4,"Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning","Deep Convolutional Neural Networks for
+Computer-Aided Detection: CNN Architectures,
+Dataset Characteristics and Transfer Learning
+Hoo-Chang Shin, Member, IEEE, Holger R. Roth, Mingchen Gao, Le Lu, Senior Member, IEEE, Ziyue Xu,
+Isabella Nogues, Jianhua Yao, Daniel Mollura, Ronald M. Summers*"

+f77b3e6b6eb4bc6d6bfeed290a1bc533bb97968a,Real Time Violence Detection in Video with ViF and Horn-Schunck,"Real Time Violence Detection in Video with ViF and
+Horn-Schunck
+Vicente Machaca Arceda Universidad Nacional de San Agustín Arequipa, Perú
+Karla Fernández Fabián Universidad Nacional de San Agustín Arequipa, Perú
+Juan Carlos Gutíerrez Universidad Nacional de San Agustín Arequipa, Perú"

+f724cbf5035e2df0dbe9a4992a0100465f5c6db5,Scalable Multicore k-NN Search via Subspace Clustering for Filtering,"Parallel Graph Partitioning for Complex Networks
+Henning Meyerhenke, Peter Sanders, and Christian Schulz"

+f77563386ac293620ce2b90b5d7250ab5d8f9f50,Regression-based Hypergraph Learning for Image Clustering and Classification,"IEEE TRANSACTIONS ON
+Regression-based Hypergraph Learning for Image
+Clustering and Classification
+Sheng Huang Student Member, IEEE, Dan Yang, Bo Liu, Xiaohong Zhang"

+f774f80fa4b5a8760084921f093730da519c6681,Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms,"Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms
+{tag}                                                 {/tag}
+International Journal of Computer Applications
+Foundation of Computer Science (FCS), NY, USA
+Volume 134
+Number 7
+Year of Publication: 2016
+Authors:
+Filani Araoluwa S., Adetunmbi Adebayo O.
+10.5120/ijca2016907932
+{bibtex}2016907932.bib{/bibtex}"

+e819d8ec94ff9b07f81bcfcf6eb66301aa271805,Optimised Blurred Object Tracking Using Anfis,"VOL. 11, NO. 13, JULY 2016                                                                                                                   ISSN 1819-6608
+ARPN Journal of Engineering and Applied Sciences
+©2006-2016 Asian Research Publishing Network (ARPN). All rights reserved.
+www.arpnjournals.com
+OPTIMISED BLURRED OBJECT TRACKING USING ANFIS
+Department of Electronics and Communication, Sathyabama University, Chennai, India
+S. Rajaprabha and M. Sugadev
+E-Mail:"

+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
+, A. Pujol
+, A. L´opez
+nd J.J. Villanueva
+Signal Theory and Communications Department, University of Vigo, Spain
+Centre de Visio per Computador, Universitat Autonoma de Barcelona, Spain
+Digital Pointer MVT"

+e80635b9b48df5ad263c51ecec62d7d4bd7327fd,"Keepon A Playful Robot for Research , Therapy , and Entertainment","Int J Soc Robot (2009) 1: 3–18
+DOI 10.1007/s12369-008-0009-8
+O R I G I N A L PA P E R
+Keepon
+A Playful Robot for Research, Therapy, and Entertainment
+Hideki Kozima · Marek P. Michalowski ·
+Cocoro Nakagawa
+Accepted: 28 October 2008 / Published online: 19 November 2008
+© Springer 2008"

+e8304700fd89461ec9ecf471179ad87f08f3c2f7,Chapter 1 . Learning to Learn New Models of Human Activities in Indoor Settings (,"Chapter 1
+Learning to learn new
+models of human activities in
+indoor settings1
+Introduction
+Biological cognitive systems have the great capability to recognize and in-
+terpret unknown situations. Equally, they can integrate new observations
+easily within their existing knowledge base. Autonomous artificial agents to
+large extent still lack such capacities. In this paper, we work towards this
+direction, as we do not only detect abnormal situations, but are also able to
+learn new concepts during runtime.
+We aim at the interpretation of human behavior in indoor environments.
+Possible applications go from the main IM2 scenario, i.e. analysis and un-
+derstanding of meetings, to monitoring of elderly or handicapped people in
+their homes in order to ensure their well-being. The indoor setting triggers
+interesting issues, such as the adaptation of pre-trained knowledge to a par-
+ticular room scene filmed with a different camera or to an unknown person
+with an individual behavior style, whereas real abnormalities must still be
+detected.
+One main limitation of automated surveillance approaches is their need"

+e8d898a6adcd526874e0a41840b69760506a98a1,Computer Vision Methods as an Aid to Visually Impaired Users Title: Computer Vision Methods as an Aid to Visually Impaired Users,"Dipartimento di Informatica, Bioingegneria,
+Robotica ed Ingegneria dei Sistemi
+Computer Vision methods as an aid to visually impaired users
+Giovanni Fusco
+Theses Series
+DIBRIS-TH-2013-03
+DIBRIS, Universit`a di Genova
+Via Opera Pia, 13 16145 Genova, Italy
+http://www.dibris.unige.it/"

+e8e8d8a619eea66c41a1a2bdc0a921a3b6d74836,"Restoring Degraded Face Images: A Case Study in Matching Faxed, Printed, and Scanned Photos","Restoring Degraded Face Images: A Case Study in
+Matching Faxed, Printed, and Scanned Photos
+Thirimachos Bourlai, Member, IEEE, Arun Ross, Senior Member, IEEE, and Anil K. Jain, Fellow, IEEE"

+e8d1d2a61c5a259440ef9fcd301093b43e87efa1,Periocular Biometrics in the Visible Spectrum,"Periocular Biometrics in the Visible Spectrum
+Unsang Park, Member, IEEE, Raghavender Reddy Jillela, Student Member, IEEE, Arun Ross, Senior Member, IEEE,
+nd Anil K. Jain, Fellow, IEEE"

+e8fdacbd708feb60fd6e7843b048bf3c4387c6db,Deep Learning,"Deep Learning
+Andreas Eilschou
+Hinnerup Net A/S
+www.hinnerup.net
+July 4, 2014
+Introduction
+Deep learning is a topic in the field of artificial intelligence (AI) and is a relatively
+new research area although based on the popular artificial neural networks (supposedly
+mirroring brain function). With the development of the perceptron in the 1950s and
+960s by Frank RosenBlatt, research began on artificial neural networks. To further
+mimic the architectural depth of the brain, researchers wanted to train a deep multi-
+layer neural network – this, however, did not happen until Geoffrey Hinton in 2006
+introduced Deep Belief Networks [1].
+Recently, the topic of deep learning has gained public interest. Large web companies such
+s Google and Facebook have a focused research on AI and an ever increasing amount
+of compute power, which has led to researchers finally being able to produce results
+that are of interest to the general public. In July 2012 Google trained a deep learning
+network on YouTube videos with the remarkable result that the network learned to
+recognize humans as well as cats [6], and in January this year Google successfully used
+deep learning on Street View images to automatically recognize house numbers with"

+e8632e5bf43f7c59f4e1978833db8aa405c76c58,Saliency and Gist Features for Target Detection in Satellite Images,"Saliency and Gist Features for Target
+Detection in Satellite Images
+Zhicheng Li and Laurent Itti"

+e849b9b3e65130712e23afb872ac925e1e9a6b73,"Image denoising with multi-layer perceptrons, part 1: comparison with existing algorithms and with bounds","Journal of Machine Learning Research x (2012) xxx
+Submitted xx/xx; Published xx/xx
+Image denoising with multi-layer perceptrons, part 1:
+omparison with existing algorithms and with bounds
+Harold Christopher Burger
+Christian J. Schuler
+Stefan Harmeling
+Max Planck Institute for Intelligent Systems
+Spemannstr. 38
+72076 T¨ubingen, Germany
+Editor:"

+e810ddd9642db98492bd6a28b08a8655396c1555,Facing facts: neuronal mechanisms of face perception.,"Review
+Acta Neurobiol Exp 2008, 68: 229–252
+Facing facts: Neuronal mechanisms of face perception
+Monika Dekowska1, Michał Kuniecki2, and Piotr Jaśkowski3*
+Kazimierz Wielki University of Bydgoszcz, Poland; 2Department of Psychophysiology, Jagiellonian University,
+Kraków, Poland; 3Department of Cognitive Psychology, University of Finance and Management, Warszawa, Poland,
+*Email:
+The face is one of the most important stimuli carrying social meaning. Thanks to the fast analysis of faces, we are able to
+judge physical attractiveness and features of their owners’ personality, intentions, and mood. From one’s facial expression
+we can gain information about danger present in the environment. It is obvious that the ability to process efficiently one’s
+face is crucial for survival. Therefore, it seems natural that in the human brain there exist structures specialized for face
+processing.  In  this  article,  we  present  recent  findings  from  studies  on  the  neuronal  mechanisms  of  face  perception  and
+recognition in the light of current theoretical models. Results from brain imaging (fMRI, PET) and electrophysiology (ERP,
+MEG) show that in face perception particular regions (i.e. FFA, STS, IOA, AMTG, prefrontal and orbitofrontal cortex) are
+involved.  These  results  are  confirmed  by  behavioral  data  and  clinical  observations  as  well  as  by  animal  studies.  The
+developmental findings reviewed in this article lead us to suppose that the ability to analyze face-like stimuli is hard-wired
+nd improves during development. Still, experience with faces is not sufficient for an individual to become an expert in face
+perception.  This  thesis  is  supported  by  the  investigation  of  individuals  with  developmental  disabilities,  especially  with
+utistic spectrum disorders (ASD).
+Key words: face perception, emotion perception"

+e8b2a98f87b7b2593b4a046464c1ec63bfd13b51,CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection,"CMS-RCNN: Contextual Multi-Scale
+Region-based CNN for Unconstrained Face
+Detection
+Chenchen Zhu*, Student, IEEE, Yutong Zheng*, Student, IEEE,
+Khoa Luu, Member, IEEE, Marios Savvides, Senior Member, IEEE"

+e8ff87c9072d67dcbcd5491b1e5a0cecc2ee309d,A Survey on Gaze Estimation Techniques in Smartphone,"International Research Journal of Engineering and Technology (IRJET)      e-ISSN: 2395 -0056
+Volume: 04 Issue: 04 | Apr -2017                     www.irjet.net                                                                p-ISSN: 2395-0072
+A Survey on Gaze Estimation Techniques in Smartphone
+Akshay A Gawande1, Prof.Gangotri Nathaney2
+M.Tech Scholar, CSE Department, WCOEM, Nagpur, India1
+Assistant Professor, CSE Department, WCOEM, Nagpur, India2
+image  dataset
+interest.  Many  of
+field  mobile  technology  and  digital
+The  goal  of  this  system  to  get  correct  gaze  point  with
+minimum  of  error  rate  and  allow  handicap  people  to
+operate  mobile  easily  by  eyes  .The  proposed  system
+onsist  of  collecting  some  steps  as:  Collecting  people
+different  position  eye
+,preprocessing,
+feature  extraction,  regression.  This  paper  is  organized  as
+follows:  Section  2  comprises  Previous  Work;  section  3
+omprises Methodology and Conclusion is in section 4.
+---------------------------------------------------------------------***---------------------------------------------------------------------
+use  eye  trackers  to  identify  what  customer's  gaze  is"

+e8dda897372e6b4cf903234c7a9c40117711d8d8,What do you think of my picture? Investigating factors of influence in profile images context perception,"What do you think of my picture? Investigating factors
+of influence in profile images context perception
+Filippo Mazza, Matthieu Perreira da Silva, Patrick Le Callet, Ingrid
+Heynderickx
+To cite this version:
+Filippo Mazza, Matthieu Perreira da Silva, Patrick Le Callet, Ingrid Heynderickx. What do you
+think of my picture? Investigating factors of influence in profile images context perception. Human
+Vision and Electronic Imaging XX, Mar 2015, San Francisco, United States. Proc. SPIE 9394, Hu-
+man Vision and Electronic Imaging XX, 9394, <http://spie.org/EI/conferencedetails/human-vision-
+electronic-imaging>. <10.1117/12.2082817>. <hal-01149535>
+HAL Id: hal-01149535
+https://hal.archives-ouvertes.fr/hal-01149535
+Submitted on 7 May 2015
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est"

+e8d2d991dcfb12b287ab06d282a86802e565780c,Inducing Behavior Change in Children with Autism Spectrum Disorders by Monitoring their Attention,"Inducing behavior change in children with autism spectrum disorders by
+monitoring their attention
+Margarida Lucas da Silva12, Hugo Silva3 and Daniel Gonc¸alves12
+Instituto Superior T´ecnico, Av. Rovisco Pais, 1, 1049-001, Lisboa, Portugal
+INESC-ID, R. Alves Redol, 9, 1000-029 Lisboa, Portugal
+Instituto de Telecomunicac¸ ˜oes, Instituto Superior T´ecnico, Av. Rovisco Pais, 1, Torre Norte - Piso 10, 1049-001, Lisboa,
+Portugal
+Keywords:
+Human Behavior Analysis, Autism Spectrum Disorders, Inducing Behavior Change."

+e84e49c9530897fad7927a06ac4a48ddaf0adf0f,Searching for Efficient Multi-Scale Architectures for Dense Image Prediction,"Searching for Efficient Multi-Scale
+Architectures for Dense Image Prediction
+Liang-Chieh Chen Maxwell D. Collins
+Barret Zoph
+Florian Schroff
+Yukun Zhu
+Hartwig Adam
+George Papandreou
+Jonathon Shlens
+Google Inc."

+e8af37ac6e0a5b7f04b6824bb1f74e4f363b99b5,On the replication of CycleGAN,"Bachelor thesis
+Computer Science
+Radboud University
+On the replication of CycleGAN
+Author:
+Robin Elbers
+s4225678
+First supervisor/assessor:
+MSc. Jacopo Acquarelli
+Second assessor:
+Prof. Tom Heskes
+August 10, 2018"

+e8e8f40ceff8b71d5dafa6b680d40690dfae940c,title : Guidelines for studying developmental prosopagnosia in adults and children,"Article	type:		Focus	Article
+Article	title:	Guidelines	for	studying	developmental	prosopagnosia	in	adults
+nd	children
+First	author:	Full	name	and	affiliation;	plus	email	address	if
+orresponding	author
+Kirsten	A.	Dalrymple*
+Institute	of	Child	Development,	University	of	Minnesota,	Minneapolis,	USA
+Second	author:	Full	name	and	affiliation;	plus	email	address	if
+orresponding	author
+Romina	Palermo*
+School	of	Psychology,	and	ARC	Centre	of	Excellence	in	Cognition	and	its	Disorders
+University	of	Western	Australia,	Crawley,	Australia
+Please	note	that	both	authors	would	like	to	be	listed	as	“corresponding	authors”."

+e819a577c57c83a133a0a0e81180d14dc13b82e9,Pyramid Histogram of Oriented Gradients based Human Ear Identification,"Pyramid Histogram of Oriented Gradients based Human Ear Identification
+Pyramid Histogram of Oriented Gradients based Human
+Ear Identification
+Partha Pratim Sarangi1, B.S.P. Mishra1 and Sachidanada Dehuri2
+School of Computer Engineering KIIT University, Bhubaneswar , Emails:
+Department of ICT FM University, Balasore, Email:"

+e8d1b134d48eb0928bc999923a4e092537e106f6,Weighted Multi-region Convolutional Neural Network for Action Recognition with Low-latency Online Prediction,"WEIGHTED MULTI-REGION CONVOLUTIONAL NEURAL NETWORK FOR ACTION
+RECOGNITION WITH LOW-LATENCY ONLINE PREDICTION
+Yunfeng Wang(cid:63), Wengang Zhou(cid:63), Qilin Zhang†, Xiaotian Zhu(cid:63), Houqiang Li(cid:63)
+(cid:63)University of Science and Technology of China, Hefei, Anhui, China
+HERE Technologies, Chicago, Illinois, USA"

+e855856d4b61b6a732005418f543c49195cb1542,Novel Method for Eyeglasses Detection in Frontal Face Images,"Novel Method for Eyeglasses Detection in Frontal
+Face Images
+R. L. Parente, L. V. Batista
+Centro de Inform´atica - CI
+Universidade Federal da Para´ıba - UFPB
+Jo˜ao Pessoa, Brazil
+I. Andreza, E. Borges, R. Marques
+VSoft Research Group
+VSoft Technology
+Jo˜ao Pessoa, Brazil
+{igorlpa90, erickvagnerr,"

+e8039e1531dd86da960be26d59718d2452f9943b,Scene Parsing and Fusion-Based Continuous Traversable Region Formation,"Scene parsing and fusion-based continuous
+traversable region formation
+Xuhong Xiao, Gee Wah Ng, Yuan Sin Tan, Yeo Ye Chuan
+0 Science Park Drive, DSO national Laboratories, Singapore 118230"

+e8c6c3fc9b52dffb15fe115702c6f159d955d308,Linear Subspace Learning for Facial Expression Analysis,"Linear Subspace Learning for
+Facial Expression Analysis
+Caifeng Shan
+Philips Research
+The Netherlands
+. Introduction
+Facial  expression,  resulting  from  movements  of  the  facial  muscles,  is  one  of  the  most
+powerful, natural, and immediate means for human beings to communicate their emotions
+nd intentions. Some examples of facial expressions are shown in Fig. 1. Darwin (1872) was
+the  first  to  describe  in  detail  the  specific  facial  expressions  associated  with  emotions  in
+nimals  and  humans;  he  argued  that  all  mammals  show  emotions  reliably  in  their  faces.
+Psychological  studies  (Mehrabian,  1968;  Ambady  &  Rosenthal,  1992)  indicate  that  facial
+expressions, with other non-verbal cues, play a major and fundamental role in face-to-face
+ommunication.
+Fig. 1. Facial expressions of George W. Bush.
+Machine  analysis  of  facial  expressions,  enabling  computers  to  analyze  and  interpret  facial
+expressions  as  humans  do,  has  many  important  applications  including  intelligent  human-
+omputer  interaction,  computer  animation,  surveillance  and  security,  medical  diagnosis,
+law  enforcement,  and  awareness  system  (Shan,  2007).  Driven  by  its  potential  applications
+nd  theoretical  interests  of  cognitive  and  psychological  scientists,  automatic  facial"

+e8691980eeb827b10cdfb4cc402b3f43f020bc6a,Segmentation Guided Attention Networks for Visual Question Answering,"Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics- Student Research Workshop, pages 43–48
+Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics- Student Research Workshop, pages 43–48
+Vancouver, Canada, July 30 - August 4, 2017. c(cid:13)2017 Association for Computational Linguistics
+Vancouver, Canada, July 30 - August 4, 2017. c(cid:13)2017 Association for Computational Linguistics
+https://doi.org/10.18653/v1/P17-3008
+https://doi.org/10.18653/v1/P17-3008"

+e8baf6ddd2e651350b843fedfe58f761848d3524,Design And Implementation Of Multiposes Face Recognization System,"Pritika V.Mamankar et al, International Journal of Computer Science and Mobile Computing, Vol.4 Issue.4, April- 2015, pg. 387-394
+Available Online at www.ijcsmc.com
+International Journal of Computer Science and Mobile Computing
+A Monthly Journal of Computer Science and Information Technology
+IJCSMC, Vol. 4, Issue. 4, April 2015, pg.387 – 394
+RESEARCH ARTICLE
+ISSN 2320–088X
+Design And Implementation Of Multiposes Face
+Recognization System
+Ms. Pritika V.Mamankar
+Master of Engineering Scholar, Information Technology Department, Sipna College of Engg. and Technology, Amravati, India
+Assistant Professor of CSE Department, Computer Science and Engineering Department, Sipna College of Engg. and
+Prof. H R. Vyawahare
+Technology, Amravati, India"

+e8867f819f39c1838bba7d446934258035d4101c,Face recognition performance with superresolution.,"Face recognition performance with superresolution
+Shuowen Hu,1,* Robert Maschal,1 S. Susan Young,1 Tsai Hong Hong,2
+nd P. Jonathon Phillips2
+United States Army Research Laboratory, 2800 Powder Mill Road, Adelphi, Maryland 20783, USA
+NIST, 100 Bureau Drive, Gaithersburg, Maryland 20899, USA
+*Corresponding author:
+Received 29 September 2011; revised 19 April 2012; accepted 24 April 2012;
+posted 30 April 2012 (Doc. ID 155384); published 20 June 2012
+With the prevalence of surveillance systems, face recognition is crucial to aiding the law enforcement com-
+munity and homeland security in identifying suspects and suspicious individuals on watch lists. However,
+face recognition performance is severely affected by the low face resolution of individuals in typical sur-
+veillance footage, oftentimes due to the distance of individuals from the cameras as well as the small pixel
+ount of low-cost surveillance systems. Superresolution image reconstruction has the potential to improve
+face recognition performance by using a sequence of low-resolution images of an individual’s face in the
+same pose to reconstruct a more detailed high-resolution facial image. This work conducts an extensive
+performance evaluation of superresolution for a face recognition algorithm using a methodology and ex-
+perimental setup consistent with real world settings at multiple subject-to-camera distances. Results show
+that superresolution image reconstruction improves face recognition performance considerably at the
+examined midrange and close range.
+OCIS codes:"

+e8f753208fc354fa9aeb3fa9c6acb3d45e7eac7b,Definite Description Lexical Choice: taking Speaker's Personality into account,"Definite Description Lexical Choice:
+taking Speaker’s Personality into account
+Alex Gwo Jen Lan, Ivandr´e Paraboni
+University of S˜ao Paulo, School of Arts, Sciences and Humanities
+S˜ao Paulo, Brazil"

+facdb71e8175c33ec54c2248fa6cfc319e27cfa5,Accelerating Machine Learning Research with MI-Prometheus,"Accelerating Machine Learning Research with
+MI-Prometheus
+Tomasz Kornuta Vincent Marois Ryan L. McAvoy Younes Bouhadjar
+Alexis Asseman
+Vincent Albouy
+IBM Research AI, Almaden Research Center, San Jose, USA
+T.S. Jayram Ahmet S. Ozcan
+{tkornut, vmarois, mcavoy, byounes, jayram,
+{alexis.asseman,"

+fab7f1af3d67c7b7cf76ec1d8dfcb265da61a572,Towards Recommender Systems for Police Photo Lineup,"Towards Recommender Systems for Police Photo Lineup
+Ladislav Peska
+Department of Software Engineering
+Hana Trojanova
+Department of Psychology
+Faculty of Mathematics and Physics, Charles University, Prague
+Faculty of Arts, Charles University, Prague
+Czech Republic
+Czech Republic"

+facf25e1880d23eb993d4ad507256ebbc7e0d82d,CURE-OR: Challenging Unreal and Real Environments for Object Recognition,"Citation D. Temel, J. Lee, and G. AlRegib, “CURE-OR: Challenging unreal and real environments
+for object recognition,” 2018 17th IEEE International Conference on Machine Learning
+nd Applications (ICMLA), Orlando, Florida, USA, 2018.
+Dataset
+https://ghassanalregib.com/cure-or/
+ICMLA,
+uthor={D. Temel and J. Lee and G. AlRegib},
+ooktitle={2018 17th IEEE International Conference on Machine Learning and Applications
+(ICMLA)},
+title={CURE-OR: Challenging unreal and real environments for object recognition},
+year=2018,}
+Copyright c(cid:13)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 advertising or promotional purposes, creating new collective works, for
+resale or redistribution to servers or lists, or reuse of any copyrighted component of this
+work in other works.
+Contact
+https://ghassanalregib.com/
+http://cantemel.com/"

+fa1b849697115ceede0a08ac552ea25ce2bf33a1,A N Approach to F Ace R Ecognition of 2 - D Images Using E Igen F Aces and Pca,"Signal & Image Processing : An International Journal (SIPIJ) Vol.3, No.2, April 2012
+AN APPROACH TO FACE RECOGNITION OF 2-D
+IMAGES USING EIGEN FACES AND PCA
+Annapurna Mishra1, Monorama Swain2 and Bodhisattva Dash3
+Department of Electronics & Telecommunication Engineering
+Silicon Institute of Technology, Bhubaneswar, India"

+fa11590fea86049fff1eb412642753422738c584,Depression-related difficulties disengaging from negative faces are associated with sustained attention to negative feedback during social evaluation and predict stress recovery,"RESEARCH ARTICLE
+Depression-related difficulties disengaging
+from negative faces are associated with
+sustained attention to negative feedback
+during social evaluation and predict stress
+recovery
+Alvaro Sanchez*, Nuria Romero, Rudi De Raedt
+Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium"

+fab83bf8d7cab8fe069796b33d2a6bd70c8cefc6,Draft: Evaluation Guidelines for Gender Classification and Age Estimation,"Draft: Evaluation Guidelines for Gender
+Classification and Age Estimation
+Tobias Gehrig, Matthias Steiner, Hazım Kemal Ekenel
+{tobias.gehrig,
+July 1, 2011
+Introduction
+In previous research on gender classification and age estimation did not use a
+standardised evaluation procedure. This makes comparison the different ap-
+proaches dif‌f‌icult.
+Thus we propose here a benchmarking and evaluation protocol for gender
+lassification as well as age estimation to set a common ground for future re-
+search in these two areas.
+The evaluations are designed such that there is one scenario under controlled
+labratory conditions and one under uncontrolled real life conditions.
+The datasets were selected with the criteria of being publicly available for
+research purposes.
+File lists for the folds corresponding to the individual benchmarking proto-
+ols will be provided over our website at http://face.cs.kit.edu/befit. We
+will provide two kinds of folds for each of the tasks and conditions: one set of
+folds using the whole dataset and one set of folds using a reduced dataset, which"

+fa23122db319440fb5a7253e19709f992b4571b9,Human Age Estimation via Geometric and Textural Features,"HUMAN AGE ESTIMATION VIA GEOMETRIC
+AND TEXTURAL FEATURES
+Merve Kilinc1 and Yusuf Sinan Akgul2
+TUBITAK BILGEM UEKAE, Anibal Street, 41470, Gebze, Kocaeli, Turkey
+GIT Vision Lab∗, Department of Computer Engineering, Gebze Institute of Technology, 41400, Kocaeli, Turkey
+Keywords:
+Age Estimation, Age Classification, Geometric Features, LBP, Gabor, LGBP, Cross Ratio, FGNET, MORPH."

+fa4ff855ca125b986bcb2bc6b71bef2ae8fde1cf,"3d Integral Invariant Signatures and Their Application on Face Recognition Dedication I Am Grateful for the Support and Guidance I Have Received from Dr. Irina A. Kogan, and I Also Express My Gratitude To",

+fa08a4da5f2fa39632d90ce3a2e1688d147ece61,Supplementary material for “ Unsupervised Creation of Parameterized Avatars ” 1 Summary of Notations,"Supplementary material for
+“Unsupervised Creation of Parameterized Avatars”
+Summary of Notations
+Tab. 1 itemizes the symbols used in the submission. Fig. 2,3,4 of the main text illustrate many of these
+symbols.
+DANN results
+Fig. 1 shows side by side samples of the original image and the emoji generated by the method of [1].
+As can be seen, these results do not preserve the identity very well, despite considerable effort invested in
+finding suitable architectures.
+Multiple Images Per Person
+Following [4], we evaluate the visual quality that is obtained per person and not just per image, by testing
+TOS on the Facescrub dataset [3]. For each person p, we considered the set of their images Xp, and selected
+the emoji that was most similar to their source image, i.e., the one for which:
+||f (x) − f (e(c(G(x))))||.
+rgmin
+Fig. 2 depicts the results obtained by this selection method on sample images form the Facescrub dataset
+(it is an extension of Fig. 7 of the main text). The figure also shows, for comparison, the DTN [4] result for
+the same image.
+Detailed Architecture of the Various Networks
+In this section we describe the architectures of the networks used in for the emoji and avatar experiments."

+fa83597bf71dbeb606bca6593bcef8ecd51e8661,Michael Kamaraj and G. Balakrishnan: Multiple Target Tracking Using Cost Minimization Techniques,"MICHAEL KAMARAJ AND G. BALAKRISHNAN: MULTIPLE TARGET TRACKING USING COST MINIMIZATION TECHNIQUES
+MULTIPLE TARGET TRACKING USING COST MINIMIZATION TECHNIQUES
+Department of Computer Applications, Pavendar Bharathidasan College of Engineering and Technology, India
+Department of Computer Science and Engineering, Indra Ganesan College of Engineering, India
+Michael Kamaraj1 and G. Balakrishnan2"

+fa2603efaf717974c77162c93d800defae61a129,Face recognition/detection by probabilistic decision-based neural network,"Face Recognition/Detection by Probabilistic
+Decision-Based Neural Network
+Shang-Hung Lin, Sun-Yuan Kung, Fellow, IEEE, and Long-Ji Lin"

+fac36fa1b809b71756c259f2c5db20add0cb0da0,Transferring GANs: Generating Images from Limited Data,"Transferring GANs: generating images from
+limited data
+Yaxing Wang, Chenshen Wu, Luis Herranz, Joost van de Weijer,
+Abel Gonzalez-Garcia, Bogdan Raducanu
+{yaxing, chenshen, lherranz, joost, agonzgarc,
+Computer Vision Center
+Universitat Aut`onoma de Barcelona, Spain"

+faf40ce28857aedf183e193486f5b4b0a8c478a2,Automated Human Identification Using Ear Imaging,"Imperial Journal of Interdisciplinary Research (IJIR)
+Vol.2, Issue-1 , 2016
+ISSN : 2454-1362 , www.onlinejournal.in
+Automated Human Identification Using Ear Imaging
+Priya Thakare
+SITS.Narhe
+Abhijit Patil
+SITS, Narhe.
+Priya More
+SITS, Narhe.
+Vivek Patil
+SITS, Narhe.
+Akshay Shende
+SITS, Narhe.
+Reliability
+in  human  authentication
+from  airport  surveillance
+important aspect for the security requirements in various
+pplications  ranging
+electronic  banking.  Many  physical  characteristics  of"

+fa24bf887d3b3f6f58f8305dcd076f0ccc30272a,Interval Insensitive Loss for Ordinal Classification,"JMLR: Workshop and Conference Proceedings 39:189–204, 2014
+ACML 2014
+Interval Insensitive Loss for Ordinal Classification
+Kostiantyn Antoniuk
+Vojtˇech Franc
+V´aclav Hlav´aˇc
+Center for Machine Perception, Department of Cybernetics, Faculty of Electrical Engineering, Czech
+Technical University in Prague, Technick´a 2, 166 27 Prague 6 Czech Republic
+Editor: Dinh Phung and Hang Li"

+fa8c73899c22b461cc062a10b6df20fccb18800c,A Novel Framework for Face Recognition in Real-Time Environments,"International Journal of Scientific and Research Publications, Volume 3, Issue 8, August 2013
+ISSN 2250-3153
+A Novel Framework for Face Recognition in Real-Time
+Environments
+Tmt.Maithili Easwaran*, Dr.B.Poorna**
+*Department of Computer Applications, S.A.Engineering College, TN, INDIA
+** Department of Computer applications, Shankarlal Sundarbai Shasun Jain College for Women, TN, INDIA
+i.e.,
+(PCA)-based"

+fafe69a00565895c7d57ad09ef44ce9ddd5a6caa,Gaussian Mixture Models for Human Face Recognition under Illumination Variations,"Applied Mathematics, 2012, 3, 2071-2079
+http://dx.doi.org/10.4236/am.2012.312A286 Published Online December 2012 (http://www.SciRP.org/journal/am)
+Gaussian Mixture Models for Human Face Recognition
+under Illumination Variations
+Information Systems and Decision Sciences Department, Mihaylo College of Business and Economics,
+California State University, Fullerton, USA
+Email:
+Sinjini Mitra
+Received August 18, 2012; revised September 18, 2012; accepted September 25, 2012"

+fab6e12a913223b69e1b9f0672df6c89275b1ed0,Initial Development of a Learners’ Ratified Acceptance of Multibiometrics Intentions Model (RAMIM),"Interdisciplinary Journal of E-Learning and Learning Objects
+IJELLO special series of Chais Conference 2009 best papers
+Volume 5, 2009
+Initial Development of a Learners’ Ratified
+Acceptance of Multibiometrics Intentions Model
+(RAMIM)
+Yair Levy
+GSCIS,
+Nova Southeastern University,
+Ft. Lauderdale, FL, USA
+Michelle M. Ramim
+Nova Southeastern University,
+Huizenga School of Business,
+Ft. Lauderdale, FL, USA"

+fab0d19c58815eccb0db7215fe45d6a32066ca1c,Inferring Human Attention by Learning Latent Intentions,"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)
+the mug's statuschecking the book's statuslocating the dispenserFigure1:Humanattentionandintentionsina3Dscene.thedispenser,hisattentionsweepsfromthetabletothedis-penser;whilefetchingwaterfromthedispenser,hisintentionistocheckifthemugisfullandhisattentionsteadilyfocusesonthemug.Thedrivingrulesofintentionsactingonattentioncanbeindependentofactivitycategories.Forexample,inFigure1,theattentiondrivenbytheintentioncheckingstatusalwayspresentsassteadilyfocusing,evenindifferentactivities.Thisphenomenonmakesitpossibletoinfertheattentionwiththesamerulesacrossdifferentactivities.However,thesedrivingrulesarehiddenandshouldbelearnedfromdata.Thispaperproposesaprobabilisticmethodtoinfer3Dhu-manattentionbyjointlymodelingattention,intentions,andtheirinteractions.Theattentionandintentionarerepresent-edwithfeaturesextractedfromhumanskeletonsandscenevoxels.Humanintentionsaretakenaslatentvariableswhichguidethemotionsandformsofhumanattention.Conversely,thehumanattentionrevealstheintentionfeatures.Attentioninferenceismodeledasajointoptimizationwithlatenthu-manintentions.WeadoptanEM-based[Bishop,2006]approachtolearnthemodelparametersandminethelatentintentions.Giv-enanRGB-DvideowithhumanskeletonscapturedbytheKinectcamera,ajoint-statedynamicprogrammingalgorithm"

+faa111d749eb228c686643e4667dd1bc21c724f2,Condensed from Video Sequences for Place Recognition,"Boosting Descriptors Condensed from Video Sequences for Place Recognition
+Tat-Jun Chin, Hanlin Goh and Joo-Hwee Lim
+Institute for Infocomm Research
+1 Heng Mui Keng Terrace, Singapore 119613.
+{tjchin, hlgoh,"

+faca1c97ac2df9d972c0766a296efcf101aaf969,Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition,"Sympathy for the Details: Dense Trajectories and Hybrid
+Classification Architectures for Action Recognition
+C´esar Roberto de Souza1,2, Adrien Gaidon1, Eleonora Vig3, Antonio Manuel L´opez2
+Computer Vision Group, Xerox Research Center Europe, Meylan, France
+Centre de Visi´o per Computador, Universitat Aut`onoma de Barcelona, Bellaterra, Spain
+German Aerospace Center, Wessling, Germany
+{cesar.desouza,"

+fa60521dabd2b64137392b4885e4d989f4b86430,Physics-Based Generative Adversarial Models for Image Restoration and Beyond,"Physics-Based Generative Adversarial Models
+for Image Restoration and Beyond
+Jinshan Pan, Yang Liu, Jiangxin Dong, Jiawei Zhang,
+Jimmy Ren, Jinhui Tang, Yu-Wing Tai and Ming-Hsuan Yang"

+fabbc7f921d77b5aa9157310df29ad81367fe92d,Title of Dissertation : EFFICIENT IMAGE AND VIDEO REPRESENTATIONS FOR RETRIEVAL,

+fa9f1b236d0a252d4a56e26e8a9a41d496803413,Face Recognition Method with Two-Dimensional HMM,"FACE RECOGNITION METHOD WITH
+TWO-DIMENSIONAL HMM
+Janusz Bobulski1
+Czestochowa University of Technology
+Institute of Computer and Information Science
+Dabrowskiego Street 73, 42-200 Czestochowa, Poland."

+fa24a04f1e8095d47e2d2ce0076bf47bdd6f997a,Wavelet Based Face Recognition for Low Quality Images,"International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
+Vol. 2, Issue 1, January  2013
+Wavelet Based Face Recognition for Low
+ISSN: 2278 – 8875
+Quality Images
+M.Karthika, 2K.Shanmugapriya, 3Dr.S.Valarmathy,  4M.Arunkumar
+PG Scholar, Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu,India
+PG Scholar, Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu,India
+Professor and Head, Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu, India
+Assistant Professor, Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu, India"

+fab60b3db164327be8588bce6ce5e45d5b882db6,Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition,"Maximum A Posteriori Estimation of Distances
+Between Deep Features in Still-to-Video Face
+Recognition
+Andrey V. Savchenko
+National Research University Higher School of Economics
+Laboratory of Algorithms and Technologies for Network Analysis,
+6 Rodionova St., Nizhny Novgorod, Russia
+Natalya S. Belova
+National Research University Higher School of Economics
+0 Myasnitskaya St., Moscow, Russia
+September 2, 2018"

+fad895771260048f58d12158a4d4d6d0623f4158,Audio-visual emotion recognition for natural human-robot interaction,"Audio-Visual Emotion
+Recognition For Natural
+Human-Robot Interaction
+Dissertation zur Erlangung des akademischen Grades
+Doktor der Ingenieurwissenschaften (Dr.-Ing.)
+vorgelegt von
+Ahmad Rabie
+n der Technischen Fakultät der Universität Bielefeld
+5. März 2010"

+fac0151ed0494caf10c7d778059f176ba374e29c,Recognising Complex Mental States from Naturalistic Human-Computer Interactions,"Copyright and use of this thesis
+This thesis must be used in accordance with the
+provisions of the Copyright Act 1968.
+Reproduction of material protected by copyright
+may be an infringement of copyright and
+opyright owners may be entitled to take
+legal action against persons who infringe their
+opyright.
+Section 51 (2) of the Copyright Act permits
+n authorized officer of a university library or
+rchives to provide a copy (by communication
+or otherwise) of an unpublished thesis kept in
+the library or archives, to a person who satisfies
+the authorized officer that he or she requires
+the reproduction for the purposes of research
+or study.
+The Copyright Act grants the creator of a work
+number of moral rights, specifically the right of
+ttribution, the right against false attribution and
+the right of integrity."

+fae4185a5fc540b057ea9e0402223e653327d0f9,Structured Edge Detection for Improved Object Localization using the Discriminative Generalized Hough Transform,

+ff8315c1a0587563510195356c9153729b533c5b,Zapping Index:Using Smile to Measure Advertisement Zapping Likelihood,"Zapping Index:Using Smile to Measure
+Advertisement Zapping Likelihood
+Songfan Yang, Member, IEEE, Mehran Kafai, Member, IEEE,
+Le An, Student Member, IEEE, and Bir Bhanu, Fellow, IEEE"

+ff2e25cb67209de8ae922abdfc31f922b130276e,Information Granulation and Pattern Recognition,"Chapter 25
+Information Granulation and Pattern Recognition
+Andrzej Skowron,1 Roman W. Swiniarski2
+Institute of Mathematics, Warsaw University, Banacha 2, 02-097 Warsaw, Poland
+San Diego State University, Department of Mathematical and Computer Sciences, 5500
+Campanile Drive, San Diego, CA 92182, USA
+Summary. We discuss information granulation applications in pattern recognition. The chap-
+ter consists of two parts. In the first part, we present applications of rough set methods for
+feature selection in pattern recognition. We emphasize the role of different forms of reducts
+that are the basic constructs of the rough set approach in feature selection. In the overview
+of methods for feature selection, we discuss feature selection criteria based on the rough set
+pproach and the relationships between them and other existing criteria. Our algorithm for
+feature selection used in the application reported is based on an application of the rough set
+method to the result of principal component analysis used for feature projection and reduc-
+tion. Finally, the first part presents numerical results of face recognition experiments using a
+neural network, with feature selection based on proposed principal component analysis and
+rough set methods. The second part consists of an outline of an approach to pattern recog-
+nition with the application of background knowledge specified in natural language. The ap-
+proach is based on constructing approximations of reasoning schemes. Such approximations
+re called approximate reasoning schemes and rough neural networks."

+ff44d8938c52cfdca48c80f8e1618bbcbf91cb2a,Towards Video Captioning with Naming: A Novel Dataset and a Multi-modal Approach,"Towards Video Captioning with Naming: a
+Novel Dataset and a Multi-Modal Approach
+Stefano Pini, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
+Dipartimento di Ingegneria “Enzo Ferrari”
+Universit`a degli Studi di Modena e Reggio Emilia"

+fffefc1fb840da63e17428fd5de6e79feb726894,Fine-Grained Age Estimation in the wild with Attention LSTM Networks,"Fine-Grained Age Estimation in the wild with
+Attention LSTM Networks
+Ke Zhang, Member, IEEE, Na Liu, Xingfang Yuan, Student Member, IEEE, Xinyao Guo, Ce Gao,
+nd Zhenbing Zhao Member, IEEE,"

+ff398e7b6584d9a692e70c2170b4eecaddd78357,Title of dissertation : FACE RECOGNITION AND VERIFICATION IN UNCONSTRAINED ENVIRIONMENTS,

+ff70cfaf3e085a6c32bfa7ebedb98adfb7658210,TABULA RASA Trusted Biometrics under Spoofing Attacks,"TABULA RASA
+Trusted Biometrics under Spoofing Attacks
+http://www.tabularasa-euproject.org/
+Funded under the 7th FP (Seventh Framework Programme)
+[Trustworthy Information and Communication Technologies]
+Theme ICT-2009.1.4
+D3.2: Evaluation of baseline non-ICAO
+iometric systems
+Due date: 30/09/2011
+Project start date: 01/11/2010 Duration: 42 months
+WP Manager: Abdenour Hadid Revision: 0
+Submission date: 30/09/2011
+Author(s): Federico Alegre, Xuran Zhao, Nick Evans (EURECOM);
+John Bustard, Mark Nixon (USOU); Abdenour Hadid (UOULU); William
+Ketchantang, Sylvaine Picard, St´ephane Revelin (MORPHO); Ale-
+jandro Riera, Aureli Soria-Frisch (STARLAB); Gian Luca Marcialis
+(UNICA)
+Project funded by the European Commission
+in the 7th Framework Programme (2008-2010)
+Dissemination Level"

+ffd81d784549ee51a9b0b7b8aaf20d5581031b74,Performance Analysis of Retina and DoG Filtering Applied to Face Images for Training Correlation Filters,"Performance Analysis of Retina and DoG
+Filtering Applied to Face Images for Training
+Correlation Filters
+Everardo Santiago Ram(cid:19)(cid:16)rez1, Jos(cid:19)e (cid:19)Angel Gonz(cid:19)alez Fraga1, Omar (cid:19)Alvarez
+Xochihua1, Everardo Gutierrez L(cid:19)opez1, and Sergio Omar Infante Prieto2
+Facultad de Ciencias, Universidad Aut(cid:19)onoma de Baja California,
+Carretera Transpeninsular Tijuana-Ensenada, N(cid:19)um. 3917, Colonia Playitas,
+Ensenada, Baja California, C.P. 22860
+{everardo.santiagoramirez,angel_fraga,
+Facultad de Ingenier(cid:19)(cid:16)a, Arquitectura y Dise~no, Universidad Aut(cid:19)onoma de Baja
+California, Carretera Transpeninsular Tijuana-Ensenada, N(cid:19)um. 3917, Colonia
+Playitas, Ensenada, Baja California, C.P. 22860"

+fff854b3d8f8e916162dc5451cf6f46caf50002b,Multi-task Learning for Universal Sentence Embeddings: A Thorough Evaluation using Transfer and Auxiliary Tasks,"Multi-task Learning for Universal Sentence Embeddings: A Thorough
+Evaluation using Transfer and Auxiliary Tasks
+Wasi Uddin Ahmad†, Xueying Bai∗, Zhechao Huang§, Chao Jiang∗, Nanyun Peng(cid:63), Kai-Wei Chang†
+§Fudan University, ∗University of Virginia
+(cid:63)University of Southern California, †University of California, Los Angeles"

+ffdaa12d37c720561f74d23fc3b5d47afa268000,Pose Proposal Networks,"Pose Proposal Networks
+Taiki Sekii[0000−0002−1895−3075]
+Konica Minolta, Inc."

+ff4e8a8333e4ef506318160248c068250963806d,Gender recognition from face images using texture descriptors for human computer interaction,"www.jchps.com                                                                    Journal of Chemical and Pharmaceutical Sciences
+Gender recognition from face images using texture descriptors
+ISSN: 0974-2115
+for human computer interaction
+M.Annalakshmi1*, S.M.M.Roomi2, and S.S.Priya1
+&3Department of Electronics and Communication Engineering, Sethu Institute of Technology, Pulloor, Kariapatti
+Department of Electronics and Communication Engineering, Thiagarajar College of Engineering, Madurai 625
+– 626 115, Virudhunagar – District, Tamilnadu, India.
+*Corresponding author: E-Mail:
+015, Tamilnadu, India"

+ff01bc3f49130d436fca24b987b7e3beedfa404d,Fuzzy System-Based Face Detection Robust to In-Plane Rotation Based on Symmetrical Characteristics of a Face,"Article
+Fuzzy System-Based Face Detection Robust to
+In-Plane Rotation Based on Symmetrical
+Characteristics of a Face
+Hyung Gil Hong, Won Oh Lee, Yeong Gon Kim, Ki Wan Kim, Dat Tien Nguyen and
+Kang Ryoung Park *
+Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu,
+Seoul 100-715, Korea; (H.G.H.); (W.O.L.); (Y.G.K.);
+(K.W.K.); (D.T.N.)
+* Correspondence: Tel.: +82-10-3111-7022; Fax: +82-2-2277-8735
+Academic Editor: Angel Garrido
+Received: 15 June 2016; Accepted: 29 July 2016; Published: 3 August 2016"

+ffd73d1956163a4160ec2c96b3ab256f79fc92e8,Attributes as Semantic Units between Natural Language and Visual Recognition,"Attributes as Semantic Units between
+Natural Language and Visual Recognition
+Marcus Rohrbach"

+ffc06713436afc4e08bf4afa401ac52db674c5da,Neural Adaptive Content-aware Internet Video Delivery,"Neural Adaptive Content-aware
+Internet Video Delivery
+Hyunho Yeo, Youngmok Jung, Jaehong Kim, Jinwoo Shin, and Dongsu Han, KAIST
+https://www.usenix.org/conference/osdi18/presentation/yeo
+This paper is included in the Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI ’18).October 8–10, 2018 • Carlsbad, CA, USAISBN 978-1-931971-47-8Open access to the Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation is sponsored by USENIX."

+ff269353b4e49274ff85dfb98b531888c98da365,Master : a Mobile Autonomous Scientist for Terretrial and Extra-terrestrial Research,"MASTER: A MOBILE AUTONOMOUS SCIENTIST FOR TERRETRIAL AND EXTRA-
+TERRESTRIAL RESEARCH
+Iain Wallace (1), Mark Woods  (2)
+(1) SCISYS, 23 Clothier Road, Bristol, BS4 5SS, UK, Email:
+(2) SCISYS, 23 Clothier Road, Bristol, BS4 5SS, UK, Email:
+paper
+includes
+utonomy.  The
+INTRODUCTION"

+ff3fa31882bb9c7573a38c7d0883503a464522a6,Imcube @ MediaEval 2015 Placing Task: Hierarchical Approach for Geo-referencing Large-Scale Datasets,"Imcube MediaEval 2015 Placing Task: A Hierarchical
+Approach for Geo-referencing Large-Scale Datasets
+Pascal Kelm, Sebastian Schmiedeke, and Lutz Goldmann
+{kelm, schmiedeke,
+Imcube Labs GmbH
+Berlin, Germany"

+fff12919cf912347776b70aa76af7635280dc401,Are object detection assessment criteria ready for maritime computer vision?,"Are object detection assessment criteria ready
+for maritime computer vision?
+Dilip K. Prasad1,∗, Deepu Rajan2, and Chai Quek2"

+ffcb92719dcd993dda292ca82d4585950ea22ac9,Handwritten Digit Recognition Using Convolutional Neural Networks,"ISSN(Online): 2320-9801
+ISSN (Print):  2320-9798
+International Journal of Innovative Research in Computer
+nd Communication Engineering
+(An ISO 3297: 2007 Certified Organization)
+Vol. 4, Issue 2, February 2016
+Handwritten Digit Recognition Using
+Convolutional Neural Networks
+Haider A. Alwzwazy1, Hayder M. Albehadili2, Younes S. Alwan3, Naz E. Islam4
+M.E Student, Dept. of Electrical and Computer Eng. University of Missouri-Columbia, MO, USA1,2,3
+Professor, Dept. of Electrical and Computer Eng. University of Missouri-Columbia, MO, USA4"

+ff7de2ea4d21e7d32d7f07e07fd278bebf6b5d66,Comparative survey of visual object classifiers,"Comparative survey of visual object classifiers
+Laboratory Le2i, Universite Bourgogne - Franche-Comte,
+Hiliwi Leake Kidane
+1000 Dijon, France,"

+ffae2fe85d3c93610ac6270db2ddf1f2f6779ea8,Learning pullback HMM distances for action recognition,"#****
+ICCV 2011 Submission #****. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
+Learning pullback HMM distances for action recognition
+Anonymous ICCV submission
+Paper ID ****"

+ffc9d6a5f353e5aec3116a10cf685294979c63d9,Eigenphase-based face recognition: a comparison of phase- information extraction methods,"Eigenphase-based face recognition: a comparison of phase-
+information extraction methods
+Slobodan Ribarić, Marijo Maračić
+Faculty of Electrical Engineering and Computing,
+University of Zagreb, Unska 3, 10 000 Zagreb
+E-mail:"

+ff25c6602305ac46e9c35ffa4e30b14d679a5413,Face Templates Creation for Surveillance Face Recognition System,"Face Templates Creation for Surveillance Face Recognition System
+Department of Radio Electronics, Brno University of Technology, Brno, Czech Republic
+Department of Telecommunications, Brno University of Technology, Brno, Czech Republic
+Tobias Malach1,2 and Jiri Prinosil3
+EBIS, spol. s r.o., Brno, Czech Republic
+Keywords:
+Face  Templates,  Template  Database  Creation,  Face  Recognition  System  Application,  Real-world
+Conditons."

+ff8ef43168b9c8dd467208a0b1b02e223b731254,BreakingNews: Article Annotation by Image and Text Processing,"BreakingNews: Article Annotation by
+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"

+ff3ec3607b77a1dbb685cf90dd23a273d622dda5,Visual Attribute Extraction Using Human Pose Estimation,"Visual Attribute Extraction using Human Pose
+Estimation
+Angelo Nodari, Marco Vanetti, and Ignazio Gallo
+Universit`a dell’Insubria, Dipartimento di Scienze Teoriche e Applicate
+via Mazzini 5, 21100 Varese, Italy"

+ff4dec12d0ba0bb1d2c6bbc194545819bc9c1e5a,Face Recognition at a Distance: System Issues,"Chapter 6
+Face Recognition at a Distance:
+System Issues
+Meng Ao, Dong Yi, Zhen Lei, and Stan Z. Li"

+ffc8f9fe66a14aa0657e59e219364b5a852ecb8f,On the Utility of Context (or the Lack Thereof) for Object Detection,"On the Utility of Context (or the Lack Thereof) for Object Detection
+Ehud Barnea and Ohad Ben-Shahar
+Dept. of Computer Science, Ben-Gurion University
+Beer-Sheva, Israel
+{barneaeh,"

+ff83aade985b981fbf2233efbbd749600e97454c,Towards Understanding Adversarial Learning for Joint Distribution Matching,"ALICE: Towards Understanding Adversarial
+Learning for Joint Distribution Matching
+Chunyuan Li1, Hao Liu2, Changyou Chen3, Yunchen Pu1, Liqun Chen1,
+Ricardo Henao1 and Lawrence Carin1
+Duke University 2Nanjing University 3University at Buffalo"

+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
+Guoying Zhao, Matti Pietikäinen
+Machine  Vision  Group,  Infotech  Oulu  and  Department  of  Electrical  and
+Information Engineering, P. O. Box 4500 FI-90014 University of Oulu, Finland
+{gyzhao,"

+ff46c41e9ea139d499dd349e78d7cc8be19f936c,A Novel Method for Movie Character Identification and its Facial Expression Recognition,"International Journal of Modern Engineering Research (IJMER)
+www.ijmer.com              Vol.3, Issue.3, May-June. 2013 pp-1339-1342             ISSN: 2249-6645
+A Novel Method for Movie Character Identification and its
+Facial Expression Recognition
+M. Dharmateja Purna, 1 N. Praveen2
+M.Tech, Sri Sunflower College of Engineering & Technology, Lankapalli
+Asst. Professor, Dept. of ECE, Sri Sunflower College of Engineering & Technology, Lankapalli"

+ffb2d596c22be7b0ed8f809fdfbeaa95bd4db835,"The BDD-Nexar Collective: A Large-Scale, Crowsourced, Dataset of Driving Scenes","The BDD-Nexar Collective: A Large-Scale, Crowsourced,
+Dataset of Driving Scenes
+Vashisht Madhavan
+Trevor Darrell
+Fisher Yu, Ed.
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2017-113
+http://www2.eecs.berkeley.edu/Pubs/TechRpts/2017/EECS-2017-113.html
+May 29, 2017"

+ff5dd6f96e108d8233220cc262bc282229c1a582,Robust Facial Marks Detection Method Using AAM And SURF,"Ziaul Haque Choudhury, K.M. Mehata / International Journal of Engineering Research and
+Applications (IJERA) ISSN: 2248-9622   www.ijera.com
+Vol. 2, Issue 6, November- December 2012, pp.708-715
+Robust Facial Marks Detection Method Using AAM And SURF
+Ziaul Haque Choudhury, K.M. Mehata
+Dept. of Information Technology, B.S. Abdur Rahman University, Chennai-48, India
+Dept. of Computer Science & Engineering, B.S. Abdur Rahman University, Chennai-48, India"

+ffe8a4cef9dec30ddd2c956c2f63b128a4568f84,Intensity Video Guided 4D Fusion for Improved Highly Dynamic 3D Reconstruction,"Intensity Video Guided 4D Fusion for
+Improved Highly Dynamic 3D Reconstruction
+Jie Zhang, Christos Maniatis, Luis Horna and Robert B. Fisher"

+c5af99522e324b72c8a563a5d6b7c9a0101efb65,Exploring Human Vision Driven Features for Pedestrian Detection,"(cid:13) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any
+urrent or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new
+ollective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other
+works."

+c54e8c7a4f9c2ebd8787aecafa4cfdb35bfd49e0,Effective Use of Bidirectional Language Modeling for Medical Named Entity Recognition,"Effective Use of Bidirectional Language Modeling for
+Medical Named Entity Recognition
+Devendra Singh Sachan1,*, Pengtao Xie1, and Eric P Xing1
+Petuum Inc, Pittsburgh, 15222, USA"

+c588c89a72f89eed29d42f34bfa5d4cffa530732,Attributes2Classname: A Discriminative Model for Attribute-Based Unsupervised Zero-Shot Learning,"Attributes2Classname: A discriminative model for attribute-based
+unsupervised zero-shot learning
+Berkan Demirel1,3, Ramazan Gokberk Cinbis2, Nazli Ikizler-Cinbis3
+HAVELSAN Inc., 2Bilkent University, 3Hacettepe University"

+c52aa6b9c7b89782f2316ce8ef2156fa06a3696d,Learning Semantic Part-Based Models from Google Images,"Learning Semantic Part-Based Models
+from Google Images
+Davide Modolo and Vittorio Ferrari"

+c5420ef59d7508d82e53671b0d623027eb58e6ed,Learning to Reweight Examples for Robust Deep Learning,"Learning to Reweight Examples for Robust Deep Learning
+Mengye Ren 1 2 Wenyuan Zeng 1 2 Bin Yang 1 2 Raquel Urtasun 1 2"

+c5318c79bc1b880e8356211b837b684f1ee6e5c4,Acquiring Common Sense Spatial Knowledge Through Implicit Spatial Templates,"Acquiring Common Sense Spatial Knowledge through Implicit Spatial Templates
+Department of Computer Science
+Computer Vision Laboratory
+Guillem Collell
+KU Leuven
+Luc Van Gool
+ETH Zurich
+Marie-Francine Moens
+Department of Computer Science
+KU Leuven"

+c55a6c98887b3079647d0edb4778d81bab6708f6,Self-Similarity Representation of Faces for Kin Relationships,"HCTL Open International Journal of Technology Innovations and Research (IJTIR)
+http://ijtir.hctl.org
+Volume 16, July 2015
+e-ISSN: 2321-1814, ISBN (Print): 978-1-943730-43-8
+Self-Similarity Representation
+of Faces for Kin
+Relationships
+Pratibha Chaskar1, Dr. Manjusha Deshmukh2"

+c5decf0a3906c85b6540e96c9c7003957c6d395b,Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction,"Optimizing the Trade-off between
+Single-Stage and Two-Stage Deep Object Detectors
+using Image Difficulty Prediction
+Petru Soviany, Radu Tudor Ionescu
+Department of Computer Science
+University of Bucharest, Romania
+E-mails:"

+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
+nd Video Processing
+RESEARCH
+Open Access
+COGNIMUSE: a multimodal video
+database annotated with saliency, events,
+semantics and emotion with application to
+summarization
+Athanasia Zlatintsi1*
+Niki Efthymiou1, Katerina Pastra4, Alexandros Potamianos1 and Petros Maragos1
+, Petros Koutras1, Georgios Evangelopoulos2, Nikolaos Malandrakis3,"

+c5b05718963f4edff80456c441796e4199ad8d41,Sampling and Ontologically Pooling Web Images for Visual Concept Learning,"Sampling and Ontologically Pooling Web Images for
+Visual Concept Learning
+Shiai Zhu, Chong-Wah Ngo, and Yu-Gang Jiang"

+c5a561c662fc2b195ff80d2655cc5a13a44ffd2d,Using Language to Learn Structured Appearance Models for Image Annotation,"Using Language to Learn Structured Appearance
+Models for Image Annotation
+Michael Jamieson, Student Member, IEEE, Afsaneh Fazly, Suzanne Stevenson, Sven Dickinson, Member, IEEE,
+Sven Wachsmuth, Member, IEEE"

+c5e4467b5830d7dad4e940f0766ae728f22e38fc,Object recognition and localization,"Object recognition and localization
+Badri Narayana Patro
+Dept. of Electrical Engineering
+Ganesh Boddupally
+Dept. of Electrical Engineering"

+c5637543e80f97c9ddab8b54a635cf71941e2786,Self-Calibrating View-Invariant Gait Biometrics,"This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.
+IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS
+Self-Calibrating View-Invariant Gait Biometrics
+Michela Goffredo, Member, IEEE, Imed Bouchrika, Member, IEEE, John N. Carter, Member, IEEE, and
+Mark S. Nixon, Associate Member, IEEE"

+c528e6285ed170c9a838446c062c8dfbe31c546e,Real Time 3 D Head Pose Estimation : Recent Achievements and Future Challenges,"REAL TIME 3D HEAD POSE ESTIMATION:
+RECENT ACHIEVEMENTS AND FUTURE CHALLENGES
+Gabriele Fanelli, Juergen Gall, Luc Van Gool
+Computer Vision Laboratory - ETH Zurich"

+c542fa8c4cfaff6a8d8efa9678e42e1b9ead8aa9,griffith . edu . au Face Recognition using Ensemble String Matching,"Griffith Research Online
+https://research-repository.griffith.edu.au
+Face Recognition using Ensemble String
+Matching
+Author
+Chen, Weiping, Gao, Yongsheng
+Published
+Journal Title
+IEEE Transactions on Image Processing
+https://doi.org/10.1109/TIP.2013.2277920
+Copyright Statement
+Copyright 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be
+obtained for all other uses, in any current or future media, including reprinting/republishing this material
+for advertising or promotional purposes, creating new collective works, for resale or redistribution to
+servers or lists, or reuse of any copyrighted component of this work in other works.
+Downloaded from
+http://hdl.handle.net/10072/54416"

+c53a512b4d7dee0d8d0f3e5bf2c6ace7a00cbbae,"Content-Based Video Indexing and Retrieval using Key frames Texture, Edge and Motion Features","International Journal of Current Engineering and Technology
+©2016 INPRESSCO®, All Rights Reserved
+Research Article
+Content-Based Video Indexing and Retrieval using Key frames Texture,
+Edge and Motion Features
+M.Ravinder†* and T.Venugopal‡
+E-ISSN 2277 – 4106, P-ISSN 2347 – 5161
+Available at http://inpressco.com/category/ijcet
+(R.Hamid et al., 2007; G. Lavee et al., 2009; J. Tang et al.,
+009; X. Chen et al., 2009).
+JNTUK, Kakinada, Andhra Pradesh, India
+Department of CSE, JNTUHCES, Sultanpur, Medak, Telangana, India
+Accepted 25 April 2016, Available online 30 April 2016, Vol.6, No.2 (April 2016)"

+c593c6080c75133191a27381a58cd07c97aa935b,Gender Classification Using a Min-Max Modular Support Vector Machine with Incorporating Prior Knowledge,"SUBMITTED TO IEEE TRANSACTIONS ON NEURAL NETWORKS
+Gender Classification Using a Min-Max Modular
+Support Vector Machine with Incorporating
+Prior Knowledge
+Hui-Cheng Lian and ∗Bao-Liang Lu, Senior Member, IEEE"

+c5d9ac2f52c9fc229890798b9d6e4d899b72c525,Image Enhancement Technique using Adaptive Multiscale Retinex for Face Recognition Systems,"Image Enhancement Technique using Adaptive
+Multiscale Retinex for Face Recognition Systems
+Khairul Anuar Ishak1, Salina Abdul Samad1
+M. A. Hannan1 and Maizura Mohd Sani2
+Dept. of Electrical, Electronics and Systems Engineering
+Faculty of Engineering and Built Environment, University Kebangsaan Malaysia
+3600, UKM Bangi, Selangor, Malaysia
+Institute of Microengineering and Nanoelectronics, University Kebangsaan Malaysia
+3600, UKM Bangi, Selangor, Malaysia"

+c5c379a807e02cab2e57de45699ababe8d13fb6d,Facial Expression Recognition Using Sparse Representation,"Facial Expression Recognition Using Sparse Representation
+SHIQING ZHANG 1, XIAOMING ZHAO 2, BICHENG LEI 1
+School of Physics and Electronic Engineering
+Taizhou University
+Taizhou 318000
+CHINA
+2Department of Computer Science
+Taizhou University
+Taizhou 318000
+CHINA"

+c5ea084531212284ce3f1ca86a6209f0001de9d1,Audio-visual speech processing for multimedia localisation,"Audio-Visual Speech Processing for
+Multimedia Localisation
+Matthew Aaron Benatan
+Submitted in accordance with the requirements
+for the degree of Doctor of Philosophy
+The University of Leeds
+School of Computing
+September 2016"

+c5c0cda46a77a7ea8c1f6d4d762b189ef424ffa4,Semantic 3 D Reconstruction of Heads,"Semantic 3D Reconstruction of Heads
+Fabio Maninchedda1, Christian H¨ane2,(cid:63), Bastien Jacquet3,(cid:63),
+Ama¨el Delaunoy(cid:63), Marc Pollefeys1,4
+ETH Zurich
+UC Berkeley
+Kitware SAS
+Microsoft"

+c52f2a00fdbfb7fb10252796dbede6403e780da6,Input Convex Neural Networks,"Input Convex Neural Networks
+Brandon Amos 1 Lei Xu 2 * J. Zico Kolter 1"

+c50c034d264083757eadeee5d0b94d933fe78544,Query by string word spotting based on character bi-gram indexing,"Query by String word spotting based on character
+i-gram indexing
+Computer Vision Center, Dept. Ci`encies de la Computaci´o
+Universitat Aut`onoma de Barcelona, 08193 Bellaterra (Barcelona), Spain
+Suman K. Ghosh and Ernest Valveny
+Email:"

+c5844de3fdf5e0069d08e235514863c8ef900eb7,A Study on Similarity Computations in Template Matching Technique for Identity Verification,"Lam S K et al. / (IJCSE) International Journal on Computer Science and Engineering
+Vol. 02, No. 08, 2010, 2659-2665
+A Study on Similarity Computations in Template
+Matching Technique for Identity Verification
+Lam, S. K., Yeong, C. Y., Yew, C. T., Chai, W. S., Suandi, S. A.
+Intelligent Biometric Group, School of Electrical and Electronic Engineering
+Engineering Campus, Universiti Sains Malaysia
+4300 Nibong Tebal, Pulau Pinang, MALAYSIA
+Email:"

+c590c6c171392e9f66aab1bce337470c43b48f39,Emotion Recognition by Machine Learning Algorithms using Psychophysiological Signals,"Emotion Recognition by Machine Learning Algorithms using
+Psychophysiological Signals
+Eun-Hye Jang, 2Byoung-Jun Park, 3Sang-Hyeob Kim, 4Jin-Hun Sohn
+, 2, 3 BT Convergence Technology Research Department, Electronics and Telecommunications
+Research Institute, 138 Gajeongno, Yuseong-gu, Daejeon, 305-700, Republic of Korea,
+*4Department of Psychology/Brain Research Institute, Chungnam National University 220,
+Gung-dong, Yuseong-gu, Daejeon, 305-765, Republic of Korea,"

+c591cb28d12b7ee53af4e5c2050b74071527c248,The face of fear and anger: Facial width-to-height ratio biases recognition of angry and fearful expressions.,"The Face of Fear and Anger: Facial Width-to-Height
+Ratio Biases Recognition of Angry and Fearful
+Expressions
+Jason C. Deska, E. Paige Lloyd, and Kurt Hugenberg
+Online First Publication, May 11, 2017. http://dx.doi.org/10.1037/emo0000328
+CITATION
+Deska, J. C., Lloyd, E. P., & Hugenberg, K. (2017, May 11). The Face of Fear and Anger: Facial
+online publication. http://dx.doi.org/10.1037/emo0000328"

+c55dcc587a53ff82cf3f79d84e7df67f4c8f77ed,TabletGaze: A Dataset and Baseline Algorithms for Unconstrained Appearance-based Gaze Estimation in Mobile Tablets,"TabletGaze: A Dataset and Baseline Algorithms
+for Unconstrained Appearance-based Gaze
+Estimation in Mobile Tablets
+Qiong Huang, Student Member, IEEE, Ashok Veeraraghavan, Member, IEEE,
+nd Ashutosh Sabharwal, Fellow, IEEE"

+c50630e485d3c7785ea9e1f3bff35ea00e926a56,Deep Image Retrieval: Learning Global Representations for Image Search,"Deep Image Retrieval:
+Learning global representations for image search
+Albert Gordo, Jon Almaz´an, Jerome Revaud, and Diane Larlus
+Computer Vision Group, Xerox Research Center Europe"

+c5c6ec48ae98d86171360b19e3ec03738c712f53,Infinite Hidden Conditional Random Fields for Human Behavior Analysis,"Infinite Hidden Conditional Random Fields for
+Human Behavior Analysis
+Konstantinos Bousmalis, Student Member, IEEE,
+Stefanos Zafeiriou, Member, IEEE,
+Louis-Philippe Morency, Member, IEEE,
+nd Maja Pantic, Fellow, IEEE"

+c2c3ff1778ed9c33c6e613417832505d33513c55,"Multimodal Biometric Person Authentication Using Fingerprint, Face Features","Multimodal Biometric Person Authentication
+Using Fingerprint, Face Features
+Tran Binh Long1, Le Hoang Thai2, and Tran Hanh1
+Department of Computer Science, University of Lac Hong 10 Huynh Van Nghe,
+DongNai 71000, Viet Nam
+Department of Computer Science, Ho Chi Minh City University of Science
+27 Nguyen Van Cu, HoChiMinh 70000, Viet Nam"

+c21db705a33212768c63be11747d075371c7307f,A Content-Based Late Fusion Approach Applied to Pedestrian Detection,"A Content-Based Late Fusion Approach Applied to
+Pedestrian Detection
+Jessica Sena, Artur Jord˜ao, William Robson Schwartz
+Smart Surveillance Interest Group
+Department of Computer Science, Universidade Federal de Minas Gerais
+Av. Presidente Antˆonio Carlos, 6627 - Pampulha, Belo Horizonte, Brazil"

+c2adfc55e0ab9be6e8f5e4ebeb20770dca307cef,"The effect of diagnosis, age, and symptom severity on cortical surface area in the cingulate cortex and insula in autism spectrum disorders.","http://jcn.sagepub.com/
+The Effect of Diagnosis, Age, and Symptom Severity on Cortical Surface Area in the Cingulate Cortex
+nd Insula in Autism Spectrum Disorders
+Krissy A.R. Doyle-Thomas, Azadeh Kushki, Emma G. Duerden, Margot J. Taylor, Jason P. Lerch, Latha V. Soorya, A.
+Ting Wang, Jin Fan and Evdokia Anagnostou
+J Child Neurol
+2013 28: 729 originally published online 25 July 2012
+DOI: 10.1177/0883073812451496
+The online version of this article can be found at:
+http://jcn.sagepub.com/content/28/6/729
+Published by:
+http://www.sagepublications.com
+Additional services and information for
+can be found at:
+Email Alerts:
+http://jcn.sagepub.com/cgi/alerts
+Subscriptions:
+http://jcn.sagepub.com/subscriptions
+Reprints:
+http://www.sagepub.com/journalsReprints.nav"

+c27f64eaf48e88758f650e38fa4e043c16580d26,Title of the proposed research project: Subspace analysis using Locality Preserving Projection and its applications for image recognition,"Title of the proposed research project: Subspace analysis using Locality Preserving
+Projection and its applications for image recognition
+Research area: Data manifold learning for pattern recognition
+Contact Details:
+Name: Gitam C Shikkenawis
+Email Address:
+University:  Dhirubhai  Ambani  Institute  of  Information  and  Communication  Technology
+(DA-IICT), Gandhinagar."

+c2d065bc8067384c40b3e8146cadc9a0c4c1d633,SLC25A12 expression is associated with neurite outgrowth and is upregulated in the prefrontal cortex of autistic subjects,"& 2008 Nature Publishing Group All rights reserved 1359-4184/08 $30.00
+www.nature.com/mp
+ORIGINAL ARTICLE
+SLC25A12 expression is associated with neurite
+outgrowth and is upregulated in the prefrontal cortex
+of autistic subjects
+A-M Lepagnol-Bestel1, G Maussion1, B Boda2, A Cardona3, Y Iwayama4, A-L Delezoide5, J-M Moalic1,
+D Muller2, B Dean6, T Yoshikawa4,7, P Gorwood1, JD Buxbaum8,9, N Ramoz1 and M Simonneau1
+INSERM U675, IFR2, Faculte´ de Me´ decine Xavier Bichat, Paris, France; 2Department of Basic Neuroscience, Centre Medical
+Universitaire, Geneva, Switzerland; 3Histotechnology and Pathology Unit, Institut Pasteur, Paris, France; 4Laboratory for
+AP-HP, Paris, France; 6The Rebecca L Cooper Research Laboratories, Mental Health Research Institute of Victoria, Parkville,
+VIC, Australia; 7CREST, Japan Science and Technology Agency, Saitama, Japan; 8Department of Psychiatry, Mount Sinai
+School of Medicine, New York, NY, USA and 9Department of Neuroscience, Mount Sinai School of Medicine, New York,
+NY, USA
+in the BA46 prefrontal cortex but not
+Autism is a neurodevelopmental disorder with a strong genetic component, probably involving
+several genes. Genome screens have provided evidence of linkage to chromosome 2q31–q33,
+which includes the SLC25A12 gene. Association between autism and single-nucleotide
+polymorphisms in SLC25A12 has been reported in various studies. SLC25A12 encodes the
+mitochondrial aspartate/glutamate carrier functionally important"

+c231d8638e8b5292c479d20f7dd387c53e581a1a,Multi-View Data Generation Without View Supervision,"MULTI-VIEW DATA GENERATION WITHOUT VIEW
+SUPERVISION
+Micka¨el Chen, Ludovic Denoyer
+Sorbonne Universit´es, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, Paris, France
+Thierry Arti`eres
+Ecole Centrale Marseille - Laboratoire d’Informatique Fondamentale (Aix-Marseille Univ.), France."

+c223b2b7d38dc4e0ad418c404b2d3c43c62213bc,Trade-off Between GPGPU based Implementations of Multi Object Tracking Particle Filter,"Trade-off between GPGPU based implementations of
+multi object tracking particle filter
+Petr Jecmen, Frédéric Lerasle, Alhayat Ali Mekonnen
+To cite this version:
+Petr Jecmen, Frédéric Lerasle, Alhayat Ali Mekonnen. Trade-off between GPGPU based implemen-
+tations of multi object tracking particle filter. International Conference on Computer Vision Theory
+nd Applications, Feb 2017, Porto, Portugal. 10p., 2017. <hal-01763095>
+HAL Id: hal-01763095
+https://hal.laas.fr/hal-01763095
+Submitted on 10 Apr 2018
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+c2fb2cb5487ad404b8e66daf74198496c40bef32,Learning to Transfer Privileged Information,"Learning to Transfer Privileged Information
+Viktoriia Sharmanska1∗, Novi Quadrianto2, and Christoph Lampert1,
+Institute of Science and Technology Austria, Austria
+SMiLe CLiNiC, University of Sussex, UK"

+c220f457ad0b28886f8b3ef41f012dd0236cd91a,Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Crystal Loss and Quality Pooling for
+Unconstrained Face Verification and Recognition
+Rajeev Ranjan, Member, IEEE, Ankan Bansal, Hongyu Xu, Member, IEEE,
+Swami Sankaranarayanan, Member, IEEE, Jun-Cheng Chen, Member, IEEE,
+Carlos D Castillo, Member, IEEE, and Rama Chellappa, Fellow, IEEE"

+c28f57d0a22e54fdd3c4a57ecb1785dda49f0e5e,From Scores to Face Templates: A Model-Based Approach,"From Scores to Face Templates:
+A Model-Based Approach
+Pranab Mohanty, Student Member, IEEE, Sudeep Sarkar, Senior Member, IEEE, and
+Rangachar Kasturi, Fellow, IEEE"

+c254b4c0f6d5a5a45680eb3742907ec93c3a222b,A Fusion-based Gender Recognition Method Using Facial Images,"A Fusion-based Gender Recognition Method
+Using Facial Images
+Benyamin Ghojogh, Saeed Bagheri Shouraki, Hoda Mohammadzade*, Ensieh Iranmehr"

+c259693737ce52e2e37972e15334cbe78b653e69,Image Processing Supports HCI in Museum Application,"Image Processing Supports HCI in Museum Application
+Niki Martinel, Marco Vernier, Gian Luca Foresti and Elisabetta Lamedica
+Department of Mathematics and Computer Science, University of Udine, Via Delle Scienze 206, Udine, Italy
+{niki.martinel, marco.vernier,
+Keywords:
+Augmented Reality: Information Visualization: User Interface Design: Mobile HCI."

+c29487c5eb0cdb67d92af1bc0ecbcf825e2abec3,3-D Face Recognition With the Geodesic Polar Representation,"-D Face Recognition With the
+Geodesic Polar Representation
+Iordanis Mpiperis, Sotiris Malassiotis, and Michael G. Strintzis, Fellow, IEEE
+therefore,"

+c2b1007824fa7ce3a7a94209f0be0902a3454bae,Project Description 1 Introduction,"Project Description
+Introduction
+Recognizing human action is a key component in many vision applications, such as video surveil-
+lance, 3D human pose estimation and video indexing. From the human-centered computing (HCC)
+point of view, an automatic action recognition system can provide an interface between artificial
+gents and human users accounting for perception and action in a novel interaction paradigm.
+Although significant progress has been made in action recognition [1], the problem remains inher-
+ently challenging due to significant intra-class variations, viewpoint change, partial occlusion and
+ackground dynamic variations. A key limitation of many action-recognition approaches is that
+their models are learned from single 2D view video features on individual datasets and thus un-
+ble to handle arbitrary view change or scale and background variations. Also, since they are not
+generalizable across different datasets, retraining is necessary for any new dataset.
+Our research is motivated by the requirement of view-invariant action recognition and the fact that
+the existing human motion capture data provides useful knowledge to understand the intrinsic motion
+structure (Fig. 2). In particular, we address the problem of modeling and analyzing human motion
+in the joint-trajectories space. Our view-invariant recognition system has the following functions
+(Fig. 1),
+(1) Given a labeled Mocap sequences with M markers in 3D, which is a 3M -dimensional sequential
+data, the low dimensional manifold structure (i.e., geodesics distance, intrinsic dimensionality, etc)
+is learnt by using Tensor Voting. This is an offline process, as shown in Fig. 1."

+c2f2c89d7615df07b540748d6c53485c4cbfa9c0,An Experience Report on Requirements-Driven Model-Based Synthetic Vision Testing,"An Experience Report on Requirements-Driven
+Model-Based Synthetic Vision Testing
+Markus Murschitz and Oliver Zendel and Martin Humenberger
+nd Christoph Sulzbachner and Gustavo Fern´andez Dom´ınguez 1"

+c2b9d6742e504491800cee44adb05d2d706fc209,Semantic-Based Web Mining For Image Retrieval Using Enhanced Support Vector Machine,"International Journal of Applied Engineering Research ISSN 0973-4562 Volume 11, Number 5 (2016) pp 3276-3281
+© Research India Publications.  http://www.ripublication.com
+Semantic-Based Web Mining For Image Retrieval Using Enhanced Support
+Vector Machine
+Ph.D Research Scholar, Research Department of Computer Science,
+NGM College, Pollachi, Coimbatore, Tamil Nadu, India.
+P. Sumathi
+R. Manickachezian
+Associate Professor, Research Department of Computer Science,
+NGM College, Pollachi, Coimbatore, Tamil Nadu, India."

+c2eed73654b544a705b194ade58cd82488c6c5b9,"Scene Understanding by Labeling Pixels Key Insights ˽ Recent Progress on Image Understanding, a Long-standing Challenge of Ai, Is Enabling Numerous New Applications in Robot Perception, Surveillance and Environmental Monitoring, Content- Based Image Search, and Social-media Summarization","ontributed articles
+DOI:10.1145/2629637
+Pixels labeled with a scene’s semantics and
+geometry let computers describe what they see.
+BY STEPHEN GOULD AND XUMING HE
+Scene
+Understanding
+y Labeling
+Pixels
+PROGRAMMING COMPUTERS TO automatically interpret
+the content of an image is a long-standing challenge in
+rtificial intelligence and computer vision. That difficulty
+is echoed in a well-known anecdote from the early years
+of computer-vision research in which an undergraduate
+student at MIT was asked to spend his summer getting a
+omputer to describe what it “saw” in images obtained
+from a video camera.35 Almost 50 years later researchers
+re still grappling with the same problem.
+A scene can be described in many ways and include
+details about objects, regions, geometry, location,"

+c2b8b49526e3dd537b641a6495e49a3d1a0ebbf2,Extended Feature-Fusion Guidelines to Improve Image-Based Multi-Modal Biometrics,"Extended Feature-Fusion Guidelines to Improve
+Image-Based Multi-Modal Biometrics
+Dane Brown
+Council for Scientific and Industrial Research
+Information Security
+Pretoria, South Africa"

+c238f871c029d8c33949f8410f8cf3bf79ffc102,No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARs,"No Blind Spots: Full-Surround Multi-Object
+Tracking for Autonomous Vehicles using
+Cameras & LiDARs
+Akshay Rangesh, Member, IEEE, and Mohan M. Trivedi, Fellow, IEEE"

+c2d35b387518496d8100f70e82597b002eba600e,Online Multi-player Tracking in Monocular Soccer Videos,"Available online at www.sciencedirect.com
+AASRI Procedia 00 (2014) 000–000
+014 AASRI Conference on Sports Engineering and Computer Science (SECS 2014)
+Online Multi-player Tracking in Monocular Soccer Videos
+Michael Herrmanna,*, Martin Hoerniga, Bernd Radiga
+Technische Universität München, Image Understanding and Knowledge-Based Systems, Boltzmannstr. 3, D-85748 Garching, Germany"

+c20b2ec72ebf798e9567a145465e37a755fc34d8,Fully Automatic Multi-person Human Motion Capture for VR Applications,"Fully Automatic Multi-person Human Motion Capture
+for VR Applications
+Ahmed Elhayek1,2, Onorina Kovalenko1, Pramod Murthy1,2, Jameel Malik1,2, and
+Didier Stricker1,2
+German Research Centre for Artificial Intelligence (DFKI), Kaiserslautern, Germany
+University of Kaiserslautern, Germany
+{ahmed.elhayek, onorina.kovalenko, pramod.murthy,
+jameel.malik,"

+c2e9300b0e72dca0b95ccd4181fc2a7a5178dea7,Improving Bilayer Product Quantization for Billion-Scale Approximate Nearest Neighbors in High Dimensions,"Improving Bilayer Product Quantization
+for Billion-Scale Approximate Nearest Neighbors in High
+Dimensions
+Artem Babenko
+Yandex
+Moscow Institute of Physics and Technology
+Victor Lempitsky
+Skolkovo Institute of Science and Technology"

+c2cb38fc68b877a96be99b814e8ee437e585f5b2,Mining on Manifolds: Metric Learning without Labels,"Mining on Manifolds: Metric Learning without Labels
+Ahmet Iscen1 Giorgos Tolias1 Yannis Avrithis2 Ondˇrej Chum1
+VRG, FEE, CTU in Prague
+Inria Rennes"

+c2e6daebb95c9dfc741af67464c98f1039127627,Efficient Measuring of Facial Action Unit Activation Intensities using Active Appearance Models,"MVA2013 IAPR International Conference on Machine Vision Applications, May 20-23, 2013, Kyoto, JAPAN
+Ef‌f‌icient Measuring of Facial Action Unit Activation Intensities
+using Active Appearance Models
+Daniel Haase1, Michael Kemmler1, Orlando Guntinas-Lichius2, Joachim Denzler1
+Computer Vision Group, Friedrich Schiller University of Jena, Germany
+Department of Otolaryngology, University Hospital Jena, Germany"

+f65896855e5df3db5422b57ab360287efa213066,Detection of Uncontrolled Motion Behavior in Human Crowds,"IJRET: International Journal of Research in Engineering and Technology        eISSN: 2319-1163 | pISSN: 2321-7308
+DETECTION OF UNCONTROLLED MOTION BEHAVIOR IN HUMAN
+CROWDS
+Vijitha V. A1
+Student of M. Tech., Computer Science & Engineering, Sahyadri College of Engineering & Management, Karnataka,
+India"

+f6ba16aee3c40b69dc88c947ae59811104b1bd49,Skeletal Tracking using Microsoft Kinect,"Skeletal Tracking using Microsoft Kinect
+Abhishek Kar
+Advisors: Dr. Amitabha Mukerjee & Dr. Prithwijit Guha
+Department of Computer Science and Engineering, IIT Kanpur"

+f6f06be05981689b94809130e251f9e4bf932660,An Approach to Illumination and Expression Invariant Multiple Classifier Face Recognition,"An Approach to Illumination and Expression Invariant
+International Journal of Computer Applications (0975 – 8887)
+Volume 91 – No.15, April 2014
+Multiple Classifier Face Recognition
+Dalton Meitei Thounaojam
+National Institute of Technology
+Silchar
+Assam: 788010
+India
+Hidangmayum Saxena Devi
+National Institute of Technology
+Silchar
+Assam: 788010
+India
+Romesh Laishram
+Manipur Institute of Technology
+Imphal West: 795001
+India"

+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
+Cross-Correlation
+C. Saravanan, M. Surender"

+f614f9ba33554cfd1a474be03520319b51651a35,Cardiac interoceptive learning is modulated by emotional valence perceived from facial expressions,"Social Cognitive and Affective Neuroscience, 2018, 677–686
+doi: 10.1093/scan/nsy042
+Advance Access Publication Date: 6 April 2018
+Original article
+Cardiac interoceptive learning is modulated by
+emotional valence perceived from facial expressions
+Amanda C. Marshall, Antje Gentsch, Lena Schro¨ der, and
+Simone Schu¨ tz-Bosbach
+General and Experimental Psychology Unit, Department of Psychology, Ludwig-Maximilians University
+Munich, D-80802 Munich, Germany
+Correspondence should be addressed to Amanda C. Marshall, General and Experimental Psychology Unit, Department of Psychology, Ludwig-
+Maximilians-University Munich, Leopoldstr. 13, D-80802 Munich, Germany. E-mail:"

+f6684367e7925cd90fb8974640d41823191c7cff,CNN-based Pore Detection and Description for High-Resolution Fingerprint Recognition,"Automatic Dataset Annotation to Learn CNN Pore
+Description for Fingerprint Recognition
+Gabriel Dahia
+Maur´ıcio Pamplona Segundo
+Department of Computer Science, Federal University of Bahia"

+f67a73c9dd1e05bfc51219e70536dbb49158f7bc,A Gaussian Mixture Model for Classifying the Human Age using DWT and Sammon Map,"Journal of Computer Science 10 (11): 2292-2298, 2014
+ISSN: 1549-3636
+© 2014 Nithyashri and Kulanthaivel, This open access article is distributed under a Creative Commons Attribution
+(CC-BY) 3.0 license
+A GAUSSIAN MIXTURE MODEL FOR CLASSIFYING THE
+HUMAN AGE USING DWT AND SAMMON MAP
+J. Nithyashri and 2G. Kulanthaivel
+Department of Computer Science and Engineering, Sathyabama University, Chennai, India
+Department of Electronics Engineering, NITTTR, Chennai, India
+Received 2014-05-08; Revised 2014-05-23; Accepted 2014-11-28"

+f663ad5467721159263c1cde261231312893f45d,UvA-DARE ( Digital Academic Repository ) Gaze Embeddings for Zero-Shot Image Classification,"UvA-DARE (Digital Academic Repository)
+Gaze Embeddings for Zero-Shot Image Classification
+Karessli, N.; Akata, Z.; Schiele, B.; Bulling, A.
+Published in:
+0th IEEE Conference on Computer Vision and Pattern Recognition
+0.1109/CVPR.2017.679
+Link to publication
+Citation for published version (APA):
+Karessli, N., Akata, Z., Schiele, B., & Bulling, A. (2017). Gaze Embeddings for Zero-Shot Image Classification. In
+0th IEEE Conference on Computer Vision and Pattern Recognition: CVPR 2017 : 21-26 July 2016, Honolulu,
+Hawaii : proceedings (pp. 6412-6421). Piscataway, NJ: IEEE. DOI: 10.1109/CVPR.2017.679
+General rights
+It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s),
+other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons).
+Disclaimer/Complaints regulations
+If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating
+your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask
+the Library: http://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam,
+The Netherlands. You will be contacted as soon as possible.
+Download date: 18 Nov 2018"

+f672d6352a5864caab5a5a286fbc1ce042b55c16,Stabilizing GAN Training with Multiple Random Projections,"Under review as a conference paper at ICLR 2018
+Stabilizing GAN Training with
+Multiple Random Projections
+Anonymous authors
+Paper under double-blind review"

+f66bc143d85d2b1d9aafec20f598a21d2b90b0c0,Seeing 3 D Objects in a Single 2 D Image,"Accepted for publication in the Proceedings of the 12th International Conference of Computer Vision, 2009
+Seeing 3D Objects in a Single 2D Image
+Diego Rother
+Johns Hopkins University"

+f6785ffe6fe2c30887637a61061a64f4d6725979,BAR: Bayesian Activity Recognition using variational inference,"BAR: Bayesian Activity Recognition using variational
+inference
+Ranganath Krishnan
+Mahesh Subedar
+Omesh Tickoo
+Intel Labs
+Hillsboro, OR (USA)"

+f6c70635241968a6d5fd5e03cde6907022091d64,Measuring Deformations and Illumination Changes in Images with Applications to Face Recognition,

+f636c087091847bd4ccd6d196ada6c0894b52d88,Rate-Accuracy Trade-Off in Video Classification with Deep Convolutional Neural Networks,"Rate-Accuracy Trade-Off In Video Classification
+With Deep Convolutional Neural Networks
+Mohammad Jubran, Alhabib Abbas, Aaron Chadha and Yiannis Andreopoulos, Senior Member, IEEE"

+f6ce34d6e4e445cc2c8a9b8ba624e971dd4144ca,Cross-Label Suppression: A Discriminative and Fast Dictionary Learning With Group Regularization,"Cross-label Suppression: A Discriminative and Fast
+Dictionary Learning with Group Regularization
+Xiudong Wang and Yuantao Gu∗
+April 24, 2017"

+f67afec4226aba674e786698b39b85b124945ddd,Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions,"Spatial Variational Auto-Encoding via Matrix-Variate
+Normal Distributions
+Zhengyang Wang
+School of Electrical Engineering
+nd Computer Science
+Washington State University
+Pullman, WA 99163
+Hao Yuan
+School of Electrical Engineering
+nd Computer Science
+Washington State University
+Pullman, WA 99163
+Shuiwang Ji
+School of Electrical Engineering
+nd Computer Science
+Washington State University
+Pullman, WA 99163"

+f6fa97fbfa07691bc9ff28caf93d0998a767a5c1,K2-means for Fast and Accurate Large Scale Clustering,"k2-means for fast and accurate large scale clustering
+Eirikur Agustsson
+Computer Vision Lab
+D-ITET
+ETH Zurich
+Radu Timofte
+Computer Vision Lab
+D-ITET
+ETH Zurich
+Luc Van Gool
+ESAT, KU Leuven
+D-ITET, ETH Zurich"

+f6cf2108ec9d0f59124454d88045173aa328bd2e,Robust User Identification Based on Facial Action Units Unaffected by Users' Emotions,"Robust user identification based on facial action units
+unaffected by users’ emotions
+Ricardo Buettner
+Aalen University, Germany"

+f614b449ee2fd45974214014c109d993aab73343,A Mathematical Motivation for Complex-Valued Convolutional Networks,"A Mathematical Motivation for
+Complex-valued Convolutional Networks
+Joan Bruna, Soumith Chintala, Yann LeCun, Serkan Piantino, Arthur Szlam, Mark Tygert
+Facebook Artificial Intelligence Research, 1 Facebook Way, Menlo Park, California 94025
+Keywords: deep learning, neural networks, harmonic analysis"

+f68f20868a6c46c2150ca70f412dc4b53e6a03c2,Differential Evolution to Optimize Hidden Markov Models Training: Application to Facial Expression Recognition,"Differential Evolution to Optimize
+Hidden Markov Models Training:
+Application to Facial Expression
+Recognition
+Khadoudja Ghanem, Amer Draa, Elvis Vyumvuhore and
+Ars`ene Simbabawe
+MISC Laboratory, Constantine 2 University, Constantine, Algeria
+The base system in this paper uses Hidden Markov
+Models (HMMs) to model dynamic relationships among
+facial features in facial behavior interpretation and un-
+derstanding field. The input of HMMs is a new set
+of derived features from geometrical distances obtained
+from detected and automatically tracked facial points.
+Numerical data representation which is in the form of
+multi-time series is transformed to a symbolic repre-
+sentation in order to reduce dimensionality, extract the
+most pertinent information and give a meaningful repre-
+sentation to humans. The main problem of the use of
+HMMs is that the training is generally trapped in local
+minima, so we used the Differential Evolution (DE)"

+f6cf220b8ef17e0a4bef0ff5aadc40eec9653159,Automated System for interpreting Non-verbal Communication in Video Conferencing,"Chetana Gavankar et al / International Journal on Computer Science and Engineering Vol.2(1), 2010, 22-27
+Automated System for interpreting Non-verbal
+Communication in Video Conferencing
+Chetana Gavankar
+Senior Lecturer,
+Department of Information Technology
+Cummins College of Engineering for Women
+Karve Nagar, Pune - 411052
+for  more  effective"

+e909b9e0bbfc37d0b99acad5014e977daac7e2bd,Adversarial Training of Variational Auto-Encoders for High Fidelity Image Generation,"Adversarial Training of Variational Auto-encoders for
+High Fidelity Image Generation
+Salman H. Khan†, Munawar Hayat ‡, Nick Barnes †
+Data61 - CSIRO and ANU, Australia, ‡University of Canberra, Australia,"

+e9ac109c395ededb23dfc78fe85d76eeb772ee7e,A Multilevel Mixture-of-Experts Framework for Pedestrian Classification,"A Multilevel Mixture-of-Experts Framework for
+Pedestrian Classification
+Markus Enzweiler and Dariu M. Gavrila"

+e9ed17fd8bf1f3d343198e206a4a7e0561ad7e66,Cognitive Learning for Social Robot through Facial Expression from Video Input,"International Journal of Enhanced Research in Science Technology & Engineering, ISSN: 2319-7463
+Vol. 3 Issue 1, January-2014, pp: (362-365), Impact Factor: 1.252, Available online at: www.erpublications.com
+Cognitive Learning for Social Robot through
+Facial Expression from Video Input
+Neeraj Rai1, Deepak Rai2
+Department of Automation & Robotics, 2Department of Computer Science & Engg.
+,2Ajay Kumar Garg Engineering College, Ghaziabad, UP, India"

+e988be047b28ba3b2f1e4cdba3e8c94026139fcf,Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition,"Multi-Task Convolutional Neural Network for
+Pose-Invariant Face Recognition
+Xi Yin and Xiaoming Liu Member, IEEE,"

+e9d43231a403b4409633594fa6ccc518f035a135,Deformable Part Models with CNN Features,"Deformable Part Models with CNN Features
+Pierre-Andr´e Savalle1, Stavros Tsogkas1,2, George Papandreou3, Iasonas
+Kokkinos1,2
+Ecole Centrale Paris,2 INRIA, 3TTI-Chicago (cid:63)"

+e96a3d4df7f6956ba185107747c3d7c16d1ed845,Unite the People: Closing the Loop Between 3D and 2D Human Representations,"Unite the People: Closing the Loop Between 3D and 2D Human Representations
+Christoph Lassner1,2
+Javier Romero3,*
+Martin Kiefel2
+Federica Bogo4,*
+Michael J. Black2
+Peter V. Gehler5,*
+Bernstein Center for Computational Neuroscience, T¨ubingen, Germany
+MPI for Intelligent Systems, T¨ubingen, Germany
+Body Labs Inc., New York, United States
+Microsoft, Cambridge, UK
+5University of W¨urzburg, Germany"

+e941ee2d584938e6509c0676466023f8b43b9486,Appearance based tracking with background subtraction,"The 8th International
+Computer Science
+April 26-28,  2013. Colombo,
+Sri Lanka
+& Education (ICCSE 2013)
+Conference on
+SuD1.4
+Appearance Based Tracking with Background
+Dileepa Joseph Jayamanne
+Subtraction
+Jayathu Samarawickrama
+Ranga Rodrigo
+Electronic
+Engineering
+Telecommunication
+Electronic
+Engineering
+Telecommunication
+Telecommunication
+Electronic"

+e91c7dbd33a3047c70d550e201ebdf4353cbe929,Re-identification for Online Person Tracking by Modeling Space-Time Continuum,"Re-identification for Online Person Tracking by Modeling Space-Time
+Continuum
+Neeti Narayan, Nishant Sankaran, Srirangaraj Setlur and Venu Govindaraju
+University at Buffalo, SUNY
+{neetinar, n6, setlur,"

+e9dc096762f503cfe0d56066c02d27082665b3cf,Face Sketch to Photo Matching Using LFDA,"International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Face Sketch to Photo Matching Using LFDA
+Pushpa Gopal Ambhore1, Lokesh Bijole2
+Research Scholor of Amravati University,
+Computer Engineering Department Padm. Dr. V. B. Kolte Coe Malkapur Maharashtra, India
+Assistant Professor, Computer Engineering Department Padm. Dr.V.B. Kolte coe Malkapur Maharashtra, India"

+e917bb1f7efdfc448b8b63c52e8f643e68630a11,3D information is valuable for the detection of humans in video streams,"D information is valuable for the detection of humans
+in video streams
+Sébastien Piérard
+Antoine Lejeune
+Marc Van Droogenbroeck
+INTELSIG Laboratory
+Montefiore Institute
+University of Liège, Belgium
+INTELSIG Laboratory
+Montefiore Institute
+University of Liège, Belgium
+INTELSIG Laboratory
+Montefiore Institute
+University of Liège, Belgium
+Email :
+Email :
+Email :"

+e9ae8bbfec913300eedede3ec48acb56c15ebdea,DisguiseNet : A Contrastive Approach for Disguised Face Verification in the Wild,"DisguiseNet : A Contrastive Approach for Disguised Face Verification in the Wild
+Skand Vishwanath Peri
+Abhinav Dhall
+Learning Affect and Semantic Image AnalysIs (LASII) Group,
+Indian Institute of Technology Ropar, India"

+e9fcd15bcb0f65565138dda292e0c71ef25ea8bb,Analysing Facial Regions for Face Recognition Using Forensic Protocols,"Repositorio Institucional de la Universidad Autónoma de Madrid
+https://repositorio.uam.es
+Esta es la versión de autor de la comunicación de congreso publicada en:
+This is an author produced version of a paper published in:
+Highlights on Practical Applications of Agents and Multi-Agent Systems:
+International Workshops of PAAMS. Communications in Computer and
+Information Science, Volumen 365. Springer, 2013. 223-230
+DOI:    http://dx.doi.org/10.1007/978-3-642-38061-7_22
+Copyright:  © 2013 Springer-Verlag
+El acceso a la versión del editor puede requerir la suscripción del recurso
+Access to the published version may require subscription"

+e939fb6b762de242b22e295940e0d9d7d259e442,Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos,"Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised
+Learning from Monocular Videos
+Vincent Casser∗1
+Soeren Pirk
+Reza Mahjourian2
+Anelia Angelova
+Institute for Applied Computational Science, Harvard University; Google Brain
+Google Brain
+University of Texas at Austin; Google Brain
+{pirk, rezama,"

+e94804b7f2515740671a678239eccdb79a050272,Generating a Fusion Image: One's Identity and Another's Shape,"Generating a Fusion Image: One’s Identity and Another’s Shape
+Donggyu Joo∗
+School of Electrical Engineering, KAIST, South Korea
+Doyeon Kim∗
+{jdg105, doyeon kim,
+Junmo Kim"

+e9363f4368b04aeaa6d6617db0a574844fc59338,BenchIP: Benchmarking Intelligence Processors,"BENCHIP: Benchmarking Intelligence
+Processors
+Jinhua Tao1, Zidong Du1,2, Qi Guo1,2, Huiying Lan1, Lei Zhang1
+Shengyuan Zhou1, Lingjie Xu3, Cong Liu4, Haifeng Liu5, Shan Tang6
+Allen Rush7,Willian Chen7, Shaoli Liu1,2, Yunji Chen1, Tianshi Chen1,2
+ICT CAS,2Cambricon,3Alibaba Infrastructure Service, Alibaba Group
+IFLYTEK,5JD,6RDA Microelectronics,7AMD"

+f17d6db4844f26a023f92b8771a1c33cea91b9e4,1 Million Captioned Dutch Newspaper Images,"Million Captioned Dutch Newspaper Images
+Desmond Elliott∗† and Martijn Kleppe‡
+ILLC, University of Amsterdam; †CWI; ‡Erasmus University Rotterdam"

+f13552e2e2843716e7a1c7c2492cfcc6e86aa03c,Reinforced Pipeline Optimization: Behaving Optimally,"Under review as a conference paper at ICLR 2019
+REINFORCED PIPELINE OPTIMIZATION: BEHAVING
+OPTIMALLY WITH NON-DIFFERENTIABILITIES
+Anonymous authors
+Paper under double-blind review"

+f1ec3752535e0aa6aafe3930974a22250e652ca1,Gender and emotion recognition with implicit user signals,"Gender and Emotion Recognition with Implicit User Signals
+Maneesh Bilalpur
+International Institute of Information
+Technology
+Hyderabad, India
+Seyed Mostafa Kia
+Donders Institute, Radboud
+University
+Nijmegen, Netherlands
+Manisha Chawla
+Centre for Cognitive Science, Indian
+Institute of Technology
+Gandhinagar, India
+Tat-Seng Chua
+School of Computing, National
+University of Singapore
+Singapore
+Ramanathan Subramanian
+University of Glasgow & Advanced
+Digital Sciences Center"

+f18c34458460b9b62b51213b9165b37c057c5837,Unsupervised Object Discovery and Co-Localization by Deep Descriptor Transforming,"Noname manuscript No.
+(will be inserted by the editor)
+Unsupervised Object Discovery and Co-Localization
+y Deep Descriptor Transforming
+Xiu-Shen Wei · Chen-Lin Zhang · Jianxin Wu · Chunhua Shen ·
+Zhi-Hua Zhou
+Received: date / Accepted: date"

+f16a605abb5857c39a10709bd9f9d14cdaa7918f,Fast greyscale road sign model matching and recognition,"Fast greyscale road sign model matching
+nd recognition
+Sergio Escalera and Petia Radeva
+Centre de Visió per Computador
+Edifici O – Campus UAB, 08193 Bellaterra, Barcelona, Catalonia, Spain"

+f1aa120fb720f6cfaab13aea4b8379275e6d40a2,InverseFaceNet: Deep Single-Shot Inverse Face Rendering From A Single Image,"InverseFaceNet: Deep Single-Shot Inverse Face Rendering From A Single Image
+Hyeongwoo Kim1
+Justus Thies2
+Max-Planck-Institute for Informatics
+Michael Zollhöfer1
+Christian Richardt3
+University of Erlangen-Nuremberg 3 University of Bath
+Christian Theobalt1
+Ayush Tewari1
+Figure 1. Our single-shot deep inverse face renderer InverseFaceNet obtains a high-quality geometry, reflectance and illumination estimate
+from just a single input image. We jointly recover the face pose, shape, expression, reflectance and incident scene illumination. From left to
+right: input photo, our estimated face model, its geometry, and the pointwise Euclidean error compared to Garrido et al. [14]."

+f1a05136c8b8f9334a4b3d9de2a4b192d2c762c2,Scene Classification via Hypergraph-Based Semantic Attributes Subnetworks Identification,"Scene Classification via Hypergraph-Based
+Semantic Attributes Subnetworks Identification
+Sun-Wook Choi, Chong Ho Lee, and In Kyu Park
+Department of Information and Communication Engineering
+Inha University, Incheon 402-751, Korea"

+f1ba2fe3491c715ded9677862fea966b32ca81f0,Face Tracking and Recognition in Videos : HMM Vs KNN,"ISSN: 2321-7782 (Online)
+Volume 1, Issue 7, December 2013
+International Journal of Advance Research in
+Computer Science and Management Studies
+Research Paper
+Available online at: www.ijarcsms.com
+Face Tracking and Recognition in Videos:
+HMM Vs KNN
+Madhumita R. Baviskar
+Assistant Professor
+Department of Computer Engineering
+MIT College of Engineering (Pune University)
+Pune - India"

+f1471a408369689e2fc956b417dce24e47557a38,A Novel Face Template Protection Algorithm Based on the Fusion of Chaos Theory and RSA Encryption,"International Journal of Security and Its Applications
+Vol. 10, No. 6 (2016) pp.315-330
+http://dx.doi.org/10.14257/ijsia.2016.10.6.30
+A Novel Face Template Protection Algorithm Based on the Fusion
+of Chaos Theory and RSA Encryption
+Liu Yunan1, Zhao Fudong2, Xu Yanli3 and Cao Yu2*
+.School of Foreign Languages, Harbin University of Science and Technology,
+Harbin, 150080, China
+.School of Automation, Harbin University of Science and Technology, Harbin,
+50080, China
+.School of Foreign Languages, Northeast Forestry University, Harbin, 150040,
+China"

+f1c2ba8c7797c4844fa61068b3ce9d319e6ced3f,Human Head Tracking Based on Inheritance and Evolution Concept,"MVA2009 IAPR Conference on Machine Vision Applications, May 20-22, 2009, Yokohama, JAPAN
+Human Head Tracking Based on Inheritance and Evolution Concept
+Yi Hu,      Tetsuya Takamori
+Fujifilm Corporation, Japan
+798, Miyanodai, Kaisei-machi, Ashigarakami-gun, Kanagawa, 258-8538 JAPAN
+{yi_hu,"

+f19527b2ceabf50831e78ac04161107c936efb2b,Discriminative Sparse Neighbor Approximation for Imbalanced Learning,"Discriminative Sparse Neighbor Approximation
+for Imbalanced Learning
+Chen Huang, Chen Change Loy, Member, IEEE, and Xiaoou Tang, Fellow, IEEE"

+f1d090fcea63d9f9e835c49352a3cd576ec899c1,Single-hidden Layer Feedforward Neual network training using class geometric information,"Iosifidis, A., Tefas, A., & Pitas, I. (2015). Single-Hidden Layer Feedforward
+Neual Network Training Using Class Geometric Information. In . J. J.
+Merelo, A. Rosa, J. M. Cadenas, A. Dourado, K. Madani, & J. Filipe (Eds.),
+Computational Intelligence: International Joint Conference, IJCCI 2014
+Rome, Italy, October 22-24, 2014 Revised Selected Papers. (Vol. III, pp.
+51-364). (Studies in Computational Intelligence; Vol. 620). Springer. DOI:
+0.1007/978-3-319-26393-9_21
+Peer reviewed version
+Link to published version (if available):
+0.1007/978-3-319-26393-9_21
+Link to publication record in Explore Bristol Research
+PDF-document
+University of Bristol - Explore Bristol Research
+General rights
+This document is made available in accordance with publisher policies. Please cite only the published
+version using the reference above. Full terms of use are available:
+http://www.bristol.ac.uk/pure/about/ebr-terms.html"

+f157daaffa1754aae5963d9c49247142b07c8d4a,Dct-based Reduced Face for Face Recognition,"International Journal of Information Technology and Knowledge Management
+January-June 2012, Volume 5, No. 1, pp. 97-100
+DCT-BASED  REDUCED  FACE  FOR  FACE  RECOGNITION
+Vikas Maheshkar1, Sushila Kamble2, Suneeta Agarwal3, and Vinay Kumar Srivastava4"

+f174b24860b4cacbe047d3a5650cf8866d2244d9,Monocular Depth Estimation by Learning from Heterogeneous Datasets,"Monocular Depth Estimation by Learning from Heterogeneous
+Datasets
+Akhil Gurram1,2, Onay Urfalioglu2, Ibrahim Halfaoui2, Fahd Bouzaraa2 and Antonio M. L´opez1"

+f113aed343bcac1021dc3e57ba6cc0647a8f5ce1,A Survey on Mining of Weakly Labeled Web Facial Images and Annotation,"International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Index Copernicus Value (2013): 6.14 | Impact Factor (2014): 5.611
+A Survey on Mining of Weakly Labeled Web Facial
+Images and Annotation
+Tarang Boharupi1, Pranjali Joshi2
+Pune Institute of Computer Technology, Pune, India
+Professor, Pune Institute of Computer Technology, Pune, India
+the  proposed  system  which"

+f1052df3e311b7caa563685e741e0a1bb6b288df,A Hierarchical Fusion Strategy based Multimodal Biometric System,"The International Arab Conference on Information Technology (ACIT’2013)
+A Hierarchical Fusion Strategy based Multimodal
+Biometric System
+Youssef Elmir, 2Zakaria Elberrichi and 2Réda Adjoudj
+Faculty of Sciences and Technology, University of Adrar, Algeria
+Faculty of Technology, Djillali Liabès University of Sidi Bel Abbès, Algeria"

+f19777e37321f79e34462fc4c416bd56772031bf,Literature Review of Image Compression Algorithm,"International Journal of Scientific & Engineering Research, Volume 3, Issue 6, June-2012                                                                                         1
+ISSN 2229-5518
+Literature Review of Image Compression Algorithm
+Dr. B. Chandrasekhar
+Padmaja.V.K
+email:                                                           email::
+Jawaharlal Technological University, Anantapur"

+f16921c1c6e8bce89bce7679cbd824d65b494e4d,The face of love: spontaneous accommodation as social emotion regulation.,"Personality and Social Psychology
+Bulletin
+http://psp.sagepub.com/
+The Face of Love : Spontaneous Accommodation as Social Emotion Regulation
+Pers Soc Psychol Bull
+Michael Häfner and Hans IJzerman
+2011 37: 1551 originally published online 21 July 2011
+DOI: 10.1177/0146167211415629
+The online version of this article can be found at:
+http://psp.sagepub.com/content/37/12/1551
+Published by:
+http://www.sagepublications.com
+On behalf of:
+Society for Personality and Social Psychology
+Additional services and information for
+Personality and Social Psychology Bulletin
+can be found at:
+Email Alerts:
+http://psp.sagepub.com/cgi/alerts
+Subscriptions:"

+f11d070cdc9ee12b201757ca4a50a3682967ba0c,Spatial Language Understanding with Multimodal Graphs using Declarative Learning based Programming,"Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing, pages 33–43
+Copenhagen, Denmark, September 7–11, 2017. c(cid:13)2017 Association for Computational Linguistics"

+f19ab817dd1ef64ee94e94689b0daae0f686e849,Blickrichtungsunabhängige Erkennung von Personen in Bild- und Tiefendaten,"TECHNISCHE UNIVERSIT¨AT M ¨UNCHEN
+Lehrstuhl f¨ur Mensch-Maschine-Kommunikation
+Blickrichtungsunabh¨angige Erkennung von
+Personen in Bild- und Tiefendaten
+Andre St¨ormer
+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. Thomas Eibert
+Pr¨ufer der Dissertation:
+. Univ.-Prof. Dr.-Ing. habil. Gerhard Rigoll
+. Univ.-Prof. Dr.-Ing. Horst-Michael Groß,
+Technische Universit¨at Ilmenau
+Die Dissertation wurde am 16.06.2009 bei der Technischen Universit¨at M¨unchen einge-
+reicht und durch die Fakult¨at f¨ur Elektrotechnik und Informationstechnik am 30.10.2009
+ngenommen."

+f196a79c5e4b570013e4aa031cdd0fc0c98fc07d,Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions,"Interactively Picking Real-World Objects with
+Unconstrained Spoken Language Instructions
+Jun Hatori∗, Yuta Kikuchi∗, Sosuke Kobayashi∗, Kuniyuki Takahashi∗,
+Yuta Tsuboi∗, Yuya Unno∗, Wilson Ko, Jethro Tan†"

+f1c76d97caa6f882764c1382c622a2dfb6aade43,CoreRank: Redeeming &#x201C;Sick Silicon&#x201D; by Dynamically Quantifying Core-Level Healthy Condition,"CoreRank: Redeeming “Sick Silicon”
+y Dynamically Quantifying Core-Level
+Healthy Condition
+Guihai Yan, Member, IEEE, Faqiang Sun, Huawei Li, Senior Member, IEEE, and
+Xiaowei Li, Senior Member, IEEE"

+f1bb2c95dc270ffa9c2f88e29ae5d2178b4459cb,A Generative Model of People in Clothing,"A Generative Model of People in Clothing
+Christoph Lassner1, 2
+Gerard Pons-Moll2
+Peter V. Gehler3,*
+BCCN, Tübingen
+MPI for Intelligent Systems, Tübingen 3University of Würzburg
+Figure 1: Random examples of people generated with our model. For each row, sampling is conditioned on the silhouette
+displayed on the left. Our proposed framework also supports unconditioned sampling as well as conditioning on local
+ppearance cues, such as color."

+f131a654bbf4c8de0679d3c6054c10bba4a919d4,Vision-based Driver Assistance Systems,"Vision-based Driver Assistance Systems
+.enpeda.. (Environment Perception and Driver Assistance) Project
+CITR, Auckland, New Zealand
+Reinhard Klette
+5 February 2015"

+e79847c3bf3ffefe9304e212d8dda7aaa29eaada,From Deterministic to Generative: Multi-Modal Stochastic RNNs for Video Captioning,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+From Deterministic to Generative: Multi-Modal
+Stochastic RNNs for Video Captioning
+Jingkuan Song, Yuyu Guo, Lianli Gao, Xuelong Li, IEEE Fellow Alan Hanjalic, IEEE Fellow Heng Tao Shen"

+e7906370eae8655fb69844ae1a3d986c9f37c902,Face recognition using Deep Learning,"POLYTECHNIC UNIVERSITY OF CATALONIA
+MASTER THESIS
+Face recognition using Deep
+Learning
+Author:
+Xavier SERRA
+Advisor:
+Javier CASTÁN
+Tutor:
+Sergio ESCALERA
+This master thesis has been developed at GoldenSpear LLC
+January 2017"

+e76798bddd0f12ae03de26b7c7743c008d505215,Joint Max Margin and Semantic Features for Continuous Event Detection in Complex Scenes,

+e75cd1379b07d77358e5a2f4a042f624066603b6,Weakly-Supervised Learning of Visual Relations,"Weakly-supervised learning of visual relations
+Julia Peyre1,2
+Ivan Laptev1,2
+Cordelia Schmid2,4
+Josef Sivic1,2,3"

+e778e618862ea1c9a97e89e942228c4de98c9a86,Automated Pruning for Deep Neural Network Compression,"Automated Pruning for Deep Neural Network Compression
+Franco Manessi1†, Alessandro Rozza1†, Simone Bianco2, Paolo Napoletano2, Raimondo Schettini2
+lastminute.com group — Strategic Analytics
+{first name.last
+Universit`a degli Studi di Milano Bicocca — DISCo {first name.last"

+e74bddccc40e65b31081a1599cbe7385d5d3e1c0,Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering,"Bottom-Up and Top-Down Attention for Image Captioning
+nd Visual Question Answering
+Peter Anderson1∗
+Xiaodong He2
+Chris Buehler3
+Damien Teney4
+Mark Johnson5
+Stephen Gould1
+Lei Zhang3
+Australian National University 2JD AI Research 3Microsoft Research 4University of Adelaide 5Macquarie University"

+e7cac91da51b78eb4a28e194d3f599f95742e2a2,"Positive Feeling, Negative Meaning: Visualizing the Mental Representations of In-Group and Out-Group Smiles","RESEARCH ARTICLE
+Positive Feeling, Negative Meaning:
+Visualizing the Mental Representations of In-
+Group and Out-Group Smiles
+Andrea Paulus1☯*, Michaela Rohr1☯, Ron Dotsch2,3, Dirk Wentura1
+Saarland University, Saarbrücken, Germany, 2 Utrecht University, Utrecht, the Netherlands,
+Behavioural Science Institute, Radboud University, Nijmegen, the Netherlands
+☯ These authors contributed equally to this work."

+e7dc0d5545e6e028b03a82d2f5bb3bccc995a0d7,A New Fast and Efficient HMM-Based Face Recognition System Using a 7-State HMM Along With SVD Coefficients,"Archive of SID
+A  New  Fast  and  Efficient  HMM-Based  Face  Recognition
+System Using a 7-State HMM Along With SVD Coefficients
+H. Miar-Naimi* and P. Davari*"

+e7f00f6e5994c5177ec114ee353cc7064d40a78f,Back to Basic: Do Children with Autism Spontaneously Look at Screen Displaying a Face or an Object?,"Hindawi Publishing Corporation
+Autism Research and Treatment
+Volume 2013, Article ID 835247, 7 pages
+http://dx.doi.org/10.1155/2013/835247
+Research Article
+Back to Basic: Do Children with Autism Spontaneously Look at
+Screen Displaying a Face or an Object?
+Marie Guimard-Brunault,1,2,3,4 Nadia Hernandez,3 Laetitia Roché,3 Sylvie Roux,3
+Catherine Barthélémy,1,2,3 Joëlle Martineau,2,3 and Frédérique Bonnet-Brilhault1,2,3
+CHRU de Tours, Centre Universitaire de P´edopsychiatrie, 2 Boulevard Tonnell´e, 37044 Tours Cedex 9, France
+Universit´e Franc¸ois Rabelais de Tours, 60 rue du Plat D’Etain, 37020 Tours Cedex 1, France
+UMR Inserm U 930, ´Equipe 1: Imagerie et Cerveau, Universit´e Franc¸ois Rabelais de Tours, Tours, France
+UMR Inserm U 930, ´Equipe 1: Imagerie et Cerveau, CHRU de Tours-Hˆopital Bretonneau, 2 boulevard Tonnell´e,
+Bˆat B1A, 1er Etage, 37044 Tours Cedex 9, France
+Correspondence should be addressed to Marie Guimard-Brunault;
+Received 29 June 2013; Revised 29 September 2013; Accepted 21 October 2013
+Academic Editor: Elizabeth Aylward
+Copyright © 2013 Marie Guimard-Brunault 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."

+e72e852dca333d66559dbcfb050140fac5affe4f,Anatomical Landmark Tracking by One-shot Learned Priors for Augmented Active Appearance Models,"DataωLDAFull AAMAUGMENTED AAMSubset AAMLocal TrackingextractionlearnmodelOne-shotDetectortraintrainLower LegContraintsEipolar ConstraintsDistance ConstraintsTorso ConstraintsFigure1:BasedonfewannotatedbiplanarrecordedtrainingimagesanAugmentedAAM(HaaseandDenzler,2013)istrained,consistingofanatomicalknowledge,afullmulti-viewAAMmodel,anAAMmodelofthetorsoland-marksubset,epipolarconstraintsandalocaltracking-by-detectionpriorintroducedinthispaper.In(HaaseandDenzler,2013)ActiveAppearanceModels(AAM)(Cootesetal.,2001)havebeenap-pliedtoseveralbipedalbirdlocomotiondatasets.OnecrucialconclusionofthisworkisthatAAMsneedsubstantialconstraintsfromvarioussources.Withthesupportofadditionalanatomicalknowledge,i.e.re-gionsegmentation,multi-viewacquisition,andlocallandmarktracking,fortheanimalslowerlimbsys-tem,theresultingAugmentedAAM(HaaseandDen-zler,2013)providesrobustresultsforthemajorityoftheprocesseddatasets.However,theappliedonlinetrackingapproach(Amthoretal.,2012)suffersfrom246MothesO.andDenzlerJ.AnatomicalLandmarkTrackingbyOne-shotLearnedPriorsforAugmentedActiveAppearanceModels.DOI:10.5220/0006133302460254InProceedingsofthe12thInternationalJointConferenceonComputerVision,ImagingandComputerGraphicsTheoryandApplications(VISIGRAPP2017),pages246-254ISBN:978-989-758-227-1Copyrightc(cid:13)2017bySCITEPRESS–ScienceandTechnologyPublications,Lda.Allrightsreserved"

+e78394213ae07b682ce40dc600352f674aa4cb05,Expression-invariant three-dimensional face recognition,"Expression-invariant three-dimensional face recognition
+Alexander M. Bronstein
+Email:
+Michael M. Bronstein
+Ron Kimmel
+Computer Science Department,
+Technion – Israel Institute of Technology,
+Haifa 32000, Israel
+One of the hardest problems in face recognition is dealing with facial expressions. Finding an
+expression-invariant representation of the face could be a remedy for this problem. We suggest
+treating faces as deformable surfaces in the context of Riemannian geometry, and propose to ap-
+proximate facial expressions as isometries of the facial surface. This way, we can define geometric
+invariants of a given face under different expressions. One such invariant is constructed by iso-
+metrically embedding the facial surface structure into a low-dimensional flat space. Based on this
+pproach, we built an accurate three-dimensional face recognition system that is able to distinguish
+etween identical twins under various facial expressions. In this chapter we show how under the
+near-isometric model assumption, the dif‌f‌icult problem of face recognition in the presence of facial
+expressions can be solved in a relatively simple way.
+0.1 Introduction
+It is well-known that some characteristics or behavior patterns of the human body are strictly"

+e79a34f9942172ad97c5fadca3701db3e29d32e2,Fusiform Correlates of Facial Memory in Autism,"NIH Public Access
+Author Manuscript
+Behav Sci (Basel). Author manuscript; available in PMC 2014 April 21.
+Published in final edited form as:
+Behav Sci (Basel). ; 3(3): 348–371. doi:10.3390/bs3030348.
+Fusiform Correlates of Facial Memory in Autism
+Haley G. Trontel1, Tyler C. Duffield2, Erin D. Bigler2,3,4,*, Alyson Froehlich5, Molly B.D.
+Prigge5, Jared A. Nielsen5, Jason R. Cooperrider5, Annahir N. Cariello5, Brittany G.
+Travers6, Jeffrey S. Anderson7, Brandon A. Zielinski8, Andrew Alexander6,11, Nicholas
+Lange9,10, and Janet E. Lainhart11,12
+Department of Psychology, University of Montana, Missoula, MT 59812, USA;
+Department of Psychology, Brigham Young University, Provo, UT 84604,
+USA; (T.C.D.); (E.D.B.) 3Neuroscience Center,
+Brigham Young University, Provo, UT 84604, USA 4The Brain Institute of Utah, University of
+Utah, Salt Lake City, UT 84112, USA 5Department of Psychiatry, University of Utah, Salt Lake
+City, UT 84112, USA; (A.F.);
+(M.B.D.P); (J.A.N.); (J.R.C.);
+(A.N.C.) 6Department of Medical Physics, University of Wisconsin,
+Madison, WI 53706, USA; (B.G.T.); (A.A.)
+7Department of Radiology, University of Utah, Salt Lake City, UT 84112, USA;"

+e7f4951c1106bff0460665ef67d11fb9c2d07c41,Machine Vision-Based Analysis of Gaze and Visual Context: an Application to Visual Behavior of Children with Autism Spectrum Disorders,"Machine Vision-Based Analysis of Gaze and
+Visual Context: an Application to Visual
+Behavior of Children with Autism Spectrum
+Disorders
+Basilio Noris
+MSc/BSc in Computer Science, Université de Lausanne, 2005
+Dissertation
+Submitted to the School of Engineering
+in partial fulfillment of the requirements for the degree of
+Doctor of Philosophy
+Ecole Polytechnique Fédérale de Lausanne (EPFL)
+t the
+(Swiss Federal Insitute of Technology Lausanne)
+Supervisor:
+Prof. Aude Billard
+Examiners:
+Prof. Thierry Pun
+Prof. Jacqueline Nadel
+Prof. Nouchine Hadjikhani
+President of the jury:"

+e719e1ed86bf2214512d5631e31716effe2e23d2,Learning to Estimate 3D Human Pose and Shape from a Single Color Image,"Learning to Estimate 3D Human Pose and Shape from a Single Color Image
+Georgios Pavlakos1, Luyang Zhu2, Xiaowei Zhou3, Kostas Daniilidis1
+University of Pennsylvania 2 Peking University 3 Zhejiang University"

+e7b6887cd06d0c1aa4902335f7893d7640aef823,Modelling of Facial Aging and Kinship: A Survey,"Modelling of Facial Aging and Kinship: A Survey
+Markos Georgopoulos, Yannis Panagakis, and Maja Pantic,"

+e746447afc4898713a0bcf2bb560286eb4d20019,Leveraging Virtual and Real Person for Unsupervised Person Re-identification,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, NOVEMBER 2018
+Leveraging Virtual and Real Person for
+Unsupervised Person Re-identification
+Fengxiang Yang, Zhun Zhong, Zhiming Luo, Sheng Lian, and Shaozi Li"

+e72c5fb54c3d14404ebd1bf993e51d0056f6c429,Tempered Adversarial Networks,

+e72d35ae7c1f477ce4341a5fb3a15bcfe0481a0e,Behavioral Consistency Extraction for Face Verification,"Behavioral Consistency Extraction for Face
+Verification
+Hui Fang and Nicholas Costen
+Manchester Metropolitan University
+Department of Computing and Mathematics,
+Manchester, U.K."

+e7721f40fed05aae4d49d84e9ebc94ced7015aac,Design and Implementation of Resampling Techniques for Face Recognition using Classical LDA Algorithm in MATLAB,"International Journal of Computer Applications (0975 – 8887)
+Volume 152 – No.6, October 2016
+Design and Implementation of Resampling Techniques
+for Face Recognition using Classical LDA Algorithm in
+MATLAB
+S. R Bichwe
+Dept. of Electronics &
+Communication
+Kavikulguru Institute of
+Technology & Science,
+Ramtek, Maharashtra
+Sugandha Satija
+Dept. of Information
+Technology
+Kavikulguru Institute of
+Technology & Science,
+Ramtek, Maharashtra
+Madhavi R. Bichwe
+Dept of Computer Science &
+Technology"

+cb4fc4d49783f2049c48a062169f04eb744443ec,Paying More Attention to Saliency: Image Captioning with Saliency and Context Attention,"Paying More Attention to Saliency: Image Captioning with
+Saliency and Context Attention
+MARCELLA CORNIA, University of Modena and Reggio Emilia
+LORENZO BARALDI, University of Modena and Reggio Emilia
+GIUSEPPE SERRA, University of Udine
+RITA CUCCHIARA, University of Modena and Reggio Emilia
+Image captioning has been recently gaining a lot of attention thanks to the impressive achievements shown by
+deep captioning architectures, which combine Convolutional Neural Networks to extract image representations,
+nd Recurrent Neural Networks to generate the corresponding captions. At the same time, a significant research
+effort has been dedicated to the development of saliency prediction models, which can predict human eye
+fixations. Even though saliency information could be useful to condition an image captioning architecture, by
+providing an indication of what is salient and what is not, research is still struggling to incorporate these two
+techniques. In this work, we propose an image captioning approach in which a generative recurrent neural
+network can focus on different parts of the input image during the generation of the caption, by exploiting
+the conditioning given by a saliency prediction model on which parts of the image are salient and which are
+ontextual. We show, through extensive quantitative and qualitative experiments on large scale datasets, that
+our model achieves superior performances with respect to captioning baselines with and without saliency,
+nd to different state of the art approaches combining saliency and captioning.
+CCS Concepts: • Computing methodologies → Scene understanding; Natural language generation;
+Additional Key Words and Phrases: saliency, visual saliency prediction, image captioning, deep learning."

+cbca355c5467f501d37b919d8b2a17dcb39d3ef9,Super-resolution of Very Low Resolution Faces from Videos,"CANSIZOGLU, JONES: SUPER-RESOLUTION OF VERY LR FACES FROM VIDEOS
+Super-resolution of Very Low-Resolution
+Faces from Videos
+Esra Ataer-Cansizoglu
+Michael Jones
+Mitsubishi Electric Research Labs
+(MERL)
+Cambridge, MA, USA"

+cb3d38cd18c99aca9c2a228aeb4998f394c7b1b3,Impairments in facial affect recognition associated with autism spectrum disorders: a meta-analysis.,"# Cambridge University Press 2014
+doi:10.1017/S0954579414000479
+Impairments in facial affect recognition associated with autism
+spectrum disorders: A meta-analysis
+LEAH M. LOZIER, JOHN W. VANMETER, AND ABIGAIL A. MARSH
+Georgetown University"

+cba90ec61155a233fee33b529401e65d9481213a,Houdini: Fooling Deep Structured Prediction Models,"Houdini: Fooling Deep Structured Prediction Models
+Moustapha Cisse
+Facebook AI Research
+Natalia Neverova*
+Facebook AI Research"

+cb4418b5bddaaceb92caea9e72c8cc528ce4e3cc,Generative Semantic Manipulation with Contrasting GAN,"Generative Semantic Manipulation with Contrasting
+Xiaodan Liang, Hao Zhang, Eric P. Xing
+Carnegie Mellon University and Petuum Inc.
+{xiaodan1, hao,"

+cb658e9e0823dc7afe66b593307b230cc2747790,Nouveau modèle pour la datation automatique de photographies à partir de caractéristiques visuelles,"Nouveau modèle pour la datation
+utomatique de photographies
+à partir de caractéristiques visuelles1
+Paul MARTIN* — Antoine DOUCET** — Frédéric JURIE*
+* Laboratoire GREYC [UMR 6072], Université de Caen Normandie, FRANCE 14032
+{paul.martin ;
+** Laboratoire L3i, Université de La Rochelle, FRANCE 17042
+RÉSUMÉ. Nous présentons, dans cet article, une méthode de datation de photographies par
+l’usage du contenu visuel de celles-ci. Nous nous sommes inspirés de travaux récents de la
+vision par ordinateur. Nous avons amélioré la méthode de classification utilisée dans ces tra-
+vaux en dépassant une limite intrinsèque de leur approche. En effet, ils considèrent la datation
+d’images comme un problème de classification multi-classes, pour lequel une classe repré-
+sente un ensemble d’années, mais ignorant l’ordre relatif sous-jacent à l’information tempo-
+relle. Dans leur approche soit une prédiction est bonne (période valide) soit elle est mauvaise
+(période invalide) mais aucune différence n’est faite entre se tromper d’une décennie ou de
+plusieurs. Nos travaux, s’appuient sur des avancées récentes en classification ordinale. Nous
+onsidérons les dates comme des attributs à la fois ordonnés et relatifs et nous proposons un
+adre spécifique pour les manipuler."

+cb1214e42fa81977bc21f4b3c8e194a9b68278f5,Visually Aligned Word Embeddings for Improving Zero-shot Learning,"Qiao et al.: Visually Aligned Word Embeddings. Appearing in Proc. British Mach. Vis. Conf. 2017
+Visually Aligned Word Embeddings for Improving
+Zero-shot Learning
+School of Computer Science, University of
+Adelaide, Australia
+Ruizhi Qiao
+Lingqiao Liu
+Chunhua Shen
+Anton van den Hengel"

+cb310356d1c5f567b2a8796b708f6e1e10fa1917,Serotonin and the neural processing of facial emotions in adults with autism: an fMRI study using acute tryptophan depletion.,"ORIGINAL ARTICLE
+Serotonin and the Neural Processing
+of Facial Emotions in Adults With Autism
+An fMRI Study Using Acute Tryptophan Depletion
+Eileen M. Daly, BA; Quinton Deeley, PhD; Christine Ecker, MSc, PhD; Michael Craig, PhD; Brian Hallahan, MRCPsych;
+Clodagh Murphy, MRCPsych; Patrick Johnston, PhD; Debbie Spain, MSc; Nicola Gillan, MSc; Michael Brammer, PhD;
+Vincent Giampietro, PhD; Melissa Lamar, PhD; Lisa Page, MRCPsych; Fiona Toal, MRCPsych; Anthony Cleare, PhD;
+Simon Surguladze, MD, PhD; Declan G. M. Murphy, FRCPsych
+Context: People with autism spectrum disorders (ASDs)
+have lifelong deficits in social behavior and differences
+in behavioral as well as neural responses to facial expres-
+sions of emotion. The biological basis to this is incom-
+pletely understood, but it may include differences in the
+role of neurotransmitters such as serotonin, which modu-
+late facial emotion processing in health. While some in-
+dividuals with ASD have significant differences in the sero-
+tonin system, to our knowledge, no one has investigated
+its role during facial emotion processing in adults with
+ASD and control subjects using acute tryptophan deple-
+tion (ATD) and functional magnetic resonance imaging."

+cb8b2db657cd6b6ccac13b56e2ca62b7d88eda68,Log Hyperbolic Cosine Loss Improves Varia-,"Under review as a conference paper at ICLR 2019
+LOG HYPERBOLIC COSINE LOSS IMPROVES VARIA-
+TIONAL AUTO-ENCODER
+Anonymous authors
+Paper under double-blind review"

+cbcf5da9f09b12f53d656446fd43bc6df4b2fa48,Face Recognition using Gray level Co-occurrence Matrix and Snap Shot Method of the Eigen Face,"ISSN: 2277-3754
+ISO 9001:2008 Certified
+International Journal of Engineering and Innovative Technology (IJEIT)
+Volume 2, Issue 6, December 2012
+Face Recognition using Gray level Co-occurrence
+Matrix and Snap Shot Method of the Eigen Face
+Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya University, Kanchipuram, India
+M. Madhu, R. Amutha
+SSN College of Engineering, Chennai, India"

+cb004e9706f12d1de83b88c209ac948b137caae0,Face Aging Effect Simulation Using Hidden Factor Analysis Joint Sparse Representation,"Face Aging Effect Simulation using Hidden Factor
+Analysis Joint Sparse Representation
+Hongyu Yang, Student Member, IEEE, Di Huang, Member, IEEE, Yunhong Wang, Member, IEEE, Heng Wang,
+nd Yuanyan Tang, Fellow, IEEE"

+cb11a150fc245958799e763069a6ae3080814d40,3d Face Recognition from Range Image,

+cb3ba84146d1324e1cdbde3764ca3b354ee09a2a,"On the Interplay Between Throughput, Fairness and Energy Efficiency on Asymmetric Multicore Processors","On the interplay between throughput,
+fairness and energy ef‌f‌iciency on
+symmetric multicore processors
+J. C. Saez1, A. Pousa2, A. E. de Giusti2, M. Prieto-Matias1
+ArTeCS Group, Facultad de Inform´atica, Complutense University of Madrid
+III-LIDI, Facultad de Inform´atica, National University of La Plata
+Email:
+Asymmetric single-ISA multicore processors (AMPs), which integrate high-
+performance big cores and low-power small cores, were shown to deliver
+higher performance per watt than symmetric multicores. Previous work has
+highlighted that this potential of AMP systems can be realizable by scheduling
+the various applications in a workload on the most appropriate core type. A
+number of scheduling schemes have been proposed to accomplish different goals,
+such as system throughput optimization, enforcing fairness or reducing energy
+onsumption. While the interrelationship between throughput and fairness on
+AMPs has been comprehensively studied, the impact that optimizing energy
+ef‌f‌iciency has on the other two aspects is still unclear. To fill this gap, we carry out
+comprehensive analytical and experimental study that illustrates the interplay
+etween throughput, fairness and energy ef‌f‌iciency on AMPs. Our analytical
+study allowed us to define the energy-ef‌f‌iciency factor (EEF) metric, which aids"

+cb7bbede1c2eae831dd73440f439955c4310837f,Cross-Cultural and Cultural-Specific Production and Perception of Facial Expressions of Emotion in the Wild,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Cross-Cultural and Cultural-Specific Production
+nd Perception of Facial Expressions of Emotion
+in the Wild
+Ramprakash Srinivasan, Aleix M. Martinez"

+cbd20c2199062724eee841016f1575cb7d5309b4,Dropout training for SVMs with data augmentation,"JOURNAL OF LATEX CLASS FILES, VOL. X, NO. X, MAY 2015
+Dropout Training for SVMs with
+Data Augmentation
+Ning Chen and Jun Zhu, Member, IEEE, Jianfei Chen and Ting Chen"

+cb2e10d1a6792354bc0ce24ee99ecf2142d16f9b,Enhancing Real-Time Human Detection Based on Histograms of Oriented Gradients,"Enhancing Real-time Human Detection based
+on Histograms of Oriented Gradients
+Marco Pedersoli1, Jordi Gonz`alez2, Bhaskar Chakraborty1, and Juan J.
+Villanueva1
+Computer Vision Center and Departament d’Inform`atica. Universitat Aut`onoma
+de Barcelona, 08193 Bellaterra, Spain
+Institut de Rob`otica i Inform`atica Industrial(UPC-CSIC), Edifici U Parc
+Tecnol`ogic de Barcelona. 08028, Spain.
+Summary. In this paper we propose a human detection framework based on an
+enhanced version of Histogram of Oriented Gradients (HOG) features. These feature
+descriptors are computed with the help of a precalculated histogram of square-blocks.
+This novel method outperforms the integral of oriented histograms allowing the
+alculation of a single feature four times faster. Using Adaboost for HOG feature
+selection and Support Vector Machine as weak classifier, we build up a real-time
+human classifier with an excellent detection rate.
+Introduction
+Human detection is the task of finding presence and position of human beings
+in images. Many applications take advantage of it, mainly in the videosurvel-
+liance and human-computer iteration domains. Thus, human detection is the
+first step of the full process of Human Sequence Evaluation [5]."

+cbdca5e0f1fd3fd745430497d372a2a30b7bb0c5,Towards Distributed Coevolutionary GANs,"Towards Distributed Coevolutionary GANs
+Abdullah Al-Dujaili, Tom Schmiedlechner, Erik Hemberg and Una-May O’Reilly
+CSAIL, MIT, USA"

+cb30c1370885033bc833bc7ef90a25ee0900c461,FaceOff: Anonymizing Videos in the Operating Rooms,"FaceOff: Anonymizing Videos in the Operating
+Rooms
+Evangello Flouty1, Odysseas Zisimopoulos1, and Danail Stoyanov1,2
+Wellcome / ESPRC Centre for Interventional and Surgical Sciences, London,
+Digital Surgery, London, United Kingdom
+United Kingdom"

+cb6be69c67b0b15ebbda89a126f4dd62a4d32958,Igure Qa : a N a Nnotated F Igure D Ataset for V Isual R Easoning,"Workshop track - ICLR 2018
+FIGUREQA: AN ANNOTATED FIGURE DATASET FOR
+VISUAL REASONING
+Samira Ebrahimi Kahou1∗, Vincent Michalski2∗†, Adam Atkinson1,
+Ákos Kádár3†, Adam Trischler1, Yoshua Bengio3
+Microsoft Research Montréal
+Université de Montréal, MILA
+Tilburg University"

+cb38b4a5e517b4bcb00efbb361f4bdcbcf1dca2c,Learning towards Minimum Hyperspherical Energy,"Learning towards Minimum Hyperspherical Energy
+Weiyang Liu1,*, Rongmei Lin2,*, Zhen Liu1,*, Lixin Liu3,*, Zhiding Yu4, Bo Dai1,5, Le Song1,6
+Georgia Institute of Technology 2Emory University
+South China University of Technology 4NVIDIA 5Google Brain 6Ant Financial"

+cb53c8a85d58ccb2635be5b7ff978ea6e8b78cde,Face Recognition Based on Wavelet Transform and Regional Directional Weighted Local Binary Pattern,"Face Recognition Based on Wavelet Transform
+nd Regional Directional Weighted Local Binary
+Pattern
+Wu Fengxiang
+North China Career Academy of Water Resources, Henan Zhengzhou, China
+Email:
+independent  application  technology  area"

+cb08f679f2cb29c7aa972d66fe9e9996c8dfae00,Action Understanding with Multiple Classes of Actors,"JOURNAL OF LATEX CLASS FILES, VOL. 13, NO. 9, SEPTEMBER 2014
+Action Understanding
+with Multiple Classes of Actors
+Chenliang Xu, Member, IEEE, Caiming Xiong, and Jason J. Corso, Senior Member, IEEE"

+cbae3eaf926aede9bec7ce2e28c35c1c50b1b43f,Fast RGB-D people tracking for service robots,"Noname manuscript No.
+(will be inserted by the editor)
+Fast RGB-D People Tracking for Service Robots
+Matteo Munaro · Emanuele Menegatti
+Received: date / Accepted: date"

+cb84229e005645e8623a866d3d7956c197f85e11,Disambiguating Visual Verbs,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. X, NO. X, MONTH 201X
+Disambiguating Visual Verbs
+Spandana Gella, Frank Keller, and Mirella Lapata"

+cb94ea16f12bde2de91d3cf3fac03a20b02611b1,Element-wise Bilinear Interaction for Sentence Matching,"Proceedings of the 7th Joint Conference on Lexical and Computational Semantics (*SEM), pages 107–112
+New Orleans, June 5-6, 2018. c(cid:13)2018 Association for Computational Linguistics"

+cb96c819f20f05ad0d85bba91f86795162f63445,Noisy Ocular Recognition Based on Three Convolutional Neural Networks,"Article
+Noisy Ocular Recognition Based on Three
+Convolutional Neural Networks
+Min Beom Lee, Hyung Gil Hong and Kang Ryoung Park *
+Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu,
+Seoul 100-715, Korea; (M.B.L.); (H.G.H.)
+* Correspondence: Tel.: +82-10-3111-7022; Fax: +82-2-2277-8735
+Received: 18 October 2017; Accepted: 14 December 2017; Published: 17 December 2017"

+cbe859d151466315a050a6925d54a8d3dbad591f,Gaze shifts as dynamical random sampling,"GAZE SHIFTS AS DYNAMICAL RANDOM SAMPLING
+Giuseppe Boccignone
+Mario Ferraro
+Dipartimento di Scienze dell’Informazione
+Universit´a di Milano
+Via Comelico 39/41
+0135 Milano, Italy"

+cb8567f074573a0d66d50e75b5a91df283ccd503,Large Margin Learning in Set-to-Set Similarity Comparison for Person Reidentification,"Large Margin Learning in Set to Set Similarity
+Comparison for Person Re-identification
+Sanping Zhou, Jinjun Wang, Rui Shi, Qiqi Hou, Yihong Gong, Nanning Zheng"

+cb4f0656ce177161667759b46e20aec5488550fa, Learning with single view . . . ,"Washington University in St. Louis
+School of Engineering and Applied Science
+Department of Computer Science and Engineering
+Dissertation Examination Committee:
+Kilian Q. Weinberger, Chair
+John Blitzer
+John Cunningham
+Tao Ju
+Robert Pless
+Bill Smart
+Learning with Single View Co-training and Marginalized Dropout
+Minmin Chen
+A dissertation presented to the Graduate School of Arts and Sciences
+of Washington University in partial fulfillment of the
+requirements for the degree of
+Doctor of Philosophy
+May 2013
+Saint Louis, Missouri"

+cb34481714bc7194ac108a1568d34e120f256405,Audio Visual Scene-Aware Dialog (AVSD) Challenge at DSTC7,"Audio Visual Scene-Aware Dialog (AVSD) Challenge at DSTC7
+Huda Alamri∗†, Vincent Cartillier∗, Raphael Gontijo Lopes∗, Abhishek Das∗, Jue Wang†,
+Irfan Essa∗, Dhruv Batra∗, Devi Parikh∗,
+Anoop Cherian†, Tim K. Marks†, Chiori Hori†
+School of Interactive Computing, Georgia Tech
+Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA"

+f881d2a04de838c8950a279e1ed8c0f9886452af,Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation,"Multi-Stage Variational Auto-Encoders for
+Coarse-to-Fine Image Generation
+Lei Cai
+Hongyang Gao
+Washington State University
+Washington State University
+Pullman, WA 99164
+Pullman, WA 99164
+Shuiwang Ji
+Washington State University
+Pullman, WA 99164"

+f81f5da2a1e4eb80b465b8dffca4c9e583a8a8a6,"Rapid Object Detection Systems , Utilising Deep Learning and Unmanned Aerial Systems ( Uas ) for Civil Engineering Applications","RAPID OBJECT DETECTION SYSTEMS, UTILISING DEEP LEARNING AND
+UNMANNED AERIAL SYSTEMS (UAS) FOR CIVIL ENGINEERING APPLICATIONS
+UCL Department of Civil, Environmental & Geomatic Engineering, Gower Street, London, WC1E 6BT – (david.griffiths.16,
+David Griffiths*, Jan Boehm
+Commission II, WG II/6
+KEY WORDS: Object detection, Deep Learning, Unmanned Aerial Systems, Railway, Rapid"

+f86c65bc2753ae71826a0dafbf46a75d22fb5b5b,Fearful Faces do Not Lead to Faster Attentional Deployment in Individuals with Elevated Psychopathic Traits,"J Psychopathol Behav Assess (2017) 39:596–604
+DOI 10.1007/s10862-017-9614-x
+Fearful Faces do Not Lead to Faster Attentional Deployment
+in Individuals with Elevated Psychopathic Traits
+Sylco S. Hoppenbrouwers 1 & Jaap Munneke 2,3 & Karen A. Kooiman 4 & Bethany Little 4 &
+Craig S. Neumann 5 & Jan Theeuwes 4
+Published online: 30 June 2017
+# The Author(s) 2017. This article is an open access publication"

+f842b13bd494be1bbc1161dc6df244340b28a47f,An Improved Face Recognition Technique Based on Modular Multi-directional Two-dimensional Principle Component Analysis Approach,"An Improved Face Recognition Technique Based
+on Modular Multi-directional Two-dimensional
+Principle Component Analysis Approach
+Department of    Physics and Electronic Engineering, Hanshan Normal University, Chaozhou, 521041, China
+Xiaoqing Dong
+Department of    Physics and Electronic Engineering, Hanshan Normal University, Chaozhou, 521041, China
+Email:
+Hongcai Chen
+Email:"

+f86d8385a6170b98e434a121fb7d12facb2c8426,Frank-Wolfe Algorithm for Exemplar Selection,"Frank-Wolfe Algorithm for Exemplar Selection
+Gary Cheng
+UC Berkeley
+Armin Askari
+UC Berkeley
+Laurent El Ghaoui
+Kannan Ramchandran
+UC Berkeley
+UC Berkeley"

+f884a67187929e7dda66091c13867ed0a8a36d01,Weighted-Fusion-Based Representation Classifiers for Hyperspectral Imagery,"Remote Sens. 2015, 7, 14806-14826; doi:10.3390/rs71114806
+OPEN ACCESS
+ISSN 2072-4292
+www.mdpi.com/journal/remotesensing
+Article
+Weighted-Fusion-Based Representation Classifiers for
+Hyperspectral Imagery
+Bing Peng 1, Wei Li 1,*, Xiaoming Xie 1,*, Qian Du 2 and Kui Liu 3
+College of Information Science and Technology, Beijing University of Chemical Technology,
+Beijing 100029, China; E-Mail:
+Department of Electrical and Computer Engineering, Mississippi State University, Starkville,
+MS 39762, USA; E-Mail:
+Intelligent Fusion Technology, Germantown, MD 20876, USA; E-Mail:
+*  Authors to whom correspondence should be addressed; E-Mails: (W.L.);
+(X.X.); Tel.: +86-010-6443-3717 (W.L.); +86-010-6441-3467 (X.X.).
+Academic Editors: Magaly Koch and Prasad S. Thenkabail
+Received: 17 June 2015 / Accepted: 30 October 2015 / Published: 6 November 2015"

+f8ea0f76f2044168040fcd0a9e81072c88cde4a4,Nonlinear Feature Extraction using Multilayer Perceptron based Alternating Regression for Classification and Multiple-output Regression Problems,

+f8c94afd478821681a1565d463fc305337b02779,Design and Implementation of Robust Face Recognition System for Uncontrolled Pose and Illumination Changes,"www.semargroup.org,
+www.ijsetr.com
+ISSN 2319-8885
+Vol.03,Issue.25
+September-2014,
+Pages:5079-5085
+Design and Implementation of Robust Face Recognition System for
+Uncontrolled Pose and Illumination Changes
+VIJAYA BHASKAR TALARI
+, VENKATESWARLU PRATTI
+PG Scholar, Dept of ECE, LITAM, JNTUK, Andhrapradesh, India, Email:
+Assistant Professor, Dept of ECE, LITAM, JNTUK, Andhrapradesh, India, Email:"

+f8eedcca6263062b6bab11ead255f719452f1c81,Motion in action : optical flow estimation and action localization in videos. (Le mouvement en action : estimation du flot optique et localisation d'actions dans les vidéos),"Motion in action : optical flow estimation and action
+localization in videos
+Philippe Weinzaepfel
+To cite this version:
+Philippe Weinzaepfel. Motion in action : optical flow estimation and action localization in videos.
+Computer Vision and Pattern Recognition [cs.CV]. Université Grenoble Alpes, 2016. English. <NNT :
+016GREAM013>. <tel-01407258>
+HAL Id: tel-01407258
+https://tel.archives-ouvertes.fr/tel-01407258
+Submitted on 1 Dec 2016
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+f8cfabecbe587c611de2696a37f96e3f77ac8555,NEMGAN: Noise Engineered Mode-matching GAN,"NEMGAN: Noise Engineered Mode-matching GAN
+Deepak Mishra∗, Prathosh AP∗, Aravind J, Prashant Pandey
+& Santanu Chaudhury
+Department of Electrical Engineering
+Indian Institute of Technology Delhi
+New Delhi, India"

+f8106b414d81df11ef2e9c26dd83f812711eec35,Inferring Analogous Attributes: Large-Scale Transfer of Category-Specific Attribute Classifiers,"Inferring Analogous Attributes:
+Large-Scale Transfer of Category-Specific Attribute Classifiers
+Chao-Yeh Chen and Kristen Grauman"

+f827b596b4099b0490ab46a9dd2922db2b708963,Pathologies of Neural Models Make Interpretation Difficult,"Pathologies of Neural Models Make Interpretations Difficult
+Shi Feng1 Eric Wallace1 Alvin Grissom II2 Mohit Iyyer3,4
+Pedro Rodriguez1 Jordan Boyd-Graber1
+University of Maryland 2Ursinus College
+UMass Amherst 4Allen Institute for Artificial Intelligence"

+f879556115284946637992191563849e840789d1,Geometry Guided Adversarial Facial Expression Synthesis,"Geometry Guided Adversarial Facial Expression Synthesis
+Lingxiao Song1,2
+Zhihe Lu1,3 Ran He1,2,3
+Zhenan Sun1,2
+Tieniu Tan1,2,3
+National Laboratory of Pattern Recognition, CASIA
+Center for Research on Intelligent Perception and Computing, CASIA
+Center for Excellence in Brain Science and Intelligence Technology, CAS"

+f8ec92f6d009b588ddfbb47a518dd5e73855547d,Extreme Learning Machine Ensemble Using Bagging for Facial Expression Recognition,"J Inf Process Syst, Vol.10, No.3, pp.443~458, September 2014
+ISSN 1976-913X (Print)
+ISSN 2092-805X (Electronic)
+Extreme Learning Machine Ensemble Using
+Bagging for Facial Expression Recognition
+Deepak Ghimire* and Joonwhoan Lee*"

+f8796b8e8246ce41efb2904c053fe0ea2868e373,A Variational U-Net for Conditional Appearance and Shape Generation,"A Variational U-Net for Conditional Appearance and Shape Generation
+Patrick Esser∗, Ekaterina Sutter∗, Bj¨orn Ommer
+Heidelberg Collaboratory for Image Processing
+IWR, Heidelberg University, Germany"

+f8b26b2ec62cf76f58f95938233bc22ae1902144,UvA-DARE ( Digital Academic Repository ) Visual Tracking : An Experimental Survey Smeulders,"UvA-DARE (Digital Academic Repository)
+Visual Tracking: An Experimental Survey
+Smeulders, A.W.M.; Chu, D.M.; Cucchiara, R.; Calderara, S.; Dehghan, A.; Shah, M.
+Published in:
+IEEE Transactions on Pattern Analysis and Machine Intelligence
+0.1109/TPAMI.2013.230
+Link to publication
+Citation for published version (APA):
+Smeulders, A. W. M., Chu, D. M., Cucchiara, R., Calderara, S., Dehghan, A., & Shah, M. (2014). Visual
+Tracking: An Experimental Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(7),
+442-1468. DOI: 10.1109/TPAMI.2013.230
+General rights
+It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s),
+other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons).
+Disclaimer/Complaints regulations
+If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating
+your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask
+the Library: http://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam,
+The Netherlands. You will be contacted as soon as possible.
+Download date: 26 Apr 2018"

+f89e5a8800b318fa03289b5cc67df54b956875b4,Do GANs actually learn the distribution? An empirical study,"Do GANs actually learn the distribution? An empirical study
+Sanjeev Arora
+Yi Zhang
+July 4, 2017"

+f8ed5f2c71e1a647a82677df24e70cc46d2f12a8,Artificial Neural Network Design and Parameter Optimization for Facial Expressions Recognition,"International Journal of Scientific & Engineering Research, Volume 2, Issue 12, December-2011                                                                                         1
+ISSN 2229-5518
+Artificial Neural Network Design and Parameter
+Optimization for Facial Expressions Recognition
+Ammar A. Alzaydi"

+f8ec2079838520fcb9394574bdd956ac9d3d5832,Visual Dynamics: Stochastic Future Generation via Layered Cross Convolutional Networks,"Visual Dynamics: Stochastic Future Generation
+via Layered Cross Convolutional Networks
+Tianfan Xue*, Jiajun Wu*, Katherine L. Bouman, and William T. Freeman"

+f809f9e5a03817d238718723a7b4ac04abcd3f12,Highly Efficient 8-bit Low Precision Inference,"Under review as a conference paper at ICLR 2019
+HIGHLY EFFICIENT 8-BIT LOW PRECISION INFERENCE
+OF CONVOLUTIONAL NEURAL NETWORKS
+Anonymous authors
+Paper under double-blind review"

+f8f872044be2918de442ba26a30336d80d200c42,Facial Emotion Recognition Techniques : A Survey,"IJSRD - International Journal for Scientific Research & Development| Vol. 3, Issue 03, 2015 | ISSN (online): 2321-0613
+Facial Emotion Recognition Techniques: A Survey
+Namita Rathore1 Rohit Miri2
+,2Department of Computer Science and Engineering
+,2Dr C V Raman Institute of Science and Technology
+defense
+systems,
+surveillance"

+f8a2a6b821a092ac43acd4e7366fe7c1e9285317,Attribute-controlled face photo synthesis from simple line drawing,"ATTRIBUTE-CONTROLLED FACE PHOTO SYNTHESIS FROM SIMPLE LINE DRAWING
+Qi Guo Ce Zhu Zhiqiang Xia Zhengtao Wang Yipeng Liu
+School of Electronic Engineering / Center for Robotics
+University of Electronic Science and Technology of China (UESTC), Chengdu, China"

+f8a5bc2bd26790d474a1f6cc246b2ba0bcde9464,"KDEF-PT: Valence, Emotional Intensity, Familiarity and Attractiveness Ratings of Angry, Neutral, and Happy Faces","ORIGINAL RESEARCH
+published: 19 December 2017
+doi: 10.3389/fpsyg.2017.02181
+KDEF-PT: Valence, Emotional
+Intensity, Familiarity and
+Attractiveness Ratings of Angry,
+Neutral, and Happy Faces
+Margarida V. Garrido* and Marília Prada
+Instituto Universitário de Lisboa (ISCTE-IUL), CIS – IUL, Lisboa, Portugal
+The Karolinska Directed Emotional Faces (KDEF)
+is one of the most widely used
+human facial expressions database. Almost a decade after the original validation study
+(Goeleven et al., 2008), we present subjective rating norms for a sub-set of 210 pictures
+which depict 70 models (half female) each displaying an angry, happy and neutral facial
+expressions. Our main goals were to provide an additional and updated validation
+to this database, using a sample from a different nationality (N = 155 Portuguese
+students, M = 23.73 years old, SD = 7.24) and to extend the number of subjective
+dimensions used to evaluate each image. Specifically, participants reported emotional
+labeling (forced-choice task) and evaluated the emotional intensity and valence of the
+expression, as well as the attractiveness and familiarity of the model (7-points rating"

+f8ddeb23343cde8e2a9fdd87e877f0ce5461b42b,Illumination and Pose Invariant Face Recognition: A Technical Review,"International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM)
+ISSN: 2150-7988 Vol.2 (2010), pp.029-038
+http://www.mirlabs.org/ijcisim
+Illumination and Pose Invariant Face Recognition: A Technical Review
+Kavita. R. Singh
+Department of Computer
+Technology, YCCE, Nagpur(M.S),
+41 110, India
+Mukesh. A. Zaveri
+Computer Engineering
+Department, S.V.National Institute
+of Technology, Surat(Gujarat),
+29507, India
+Mukesh. M. Raghuwanshi
+NYSS College of Engineering and
+Research, Nagpur(M.S), 441 110,
+India"

+f8d68084931f296abfb5a1c4cd971f0b0294eaa4,Unconditional Generative Models,"Published as a conference paper at ICLR 2018
+LATENT CONSTRAINTS:
+LEARNING TO GENERATE CONDITIONALLY FROM
+UNCONDITIONAL GENERATIVE MODELS
+Jesse Engel
+Google Brain
+San Francisco, CA, USA
+Matthew D. Hoffman
+Google Inc.
+San Francisco, CA, USA
+Adam Roberts
+Google Brain
+San Francisco, CA, USA"

+ce54dd2b0c6c75208ac77420233419066dd0117f,Issn 2348-375x Ear Segmentation Using Differential Box Counting Approach,"Geetha et al. UJEAS 2014, 02 (01): Page 77-78
+ISSN 2348-375X
+Unique Journal of Engineering and Advanced Sciences
+Available online: www.ujconline.net
+Research Article
+EAR SEGMENTATION USING DIFFERENTIAL BOX COUNTING APPROACH
+Geetha Prem P1*, Manikandaprabu N2, Dhivya P3, Deepa A4
+PG Scholar, AVS Engineering College, TN, India
+Lecturer, Senthur Polytechnic College, TN, India
+Asso. Prof/ECE, AVS Engineering College, Salem
+ME (Communication Systems), Sona College of Technology, Salem
+Received: 28-12-2013; Revised: 24-01-2014; Accepted: 20-02-2014
+*Corresponding Author: P. Prem Geetha, PG Scholar, AVS Engineering College, TN, India Email:"

+ceac97de889ed2f65af62f61a007651d03b36b6c,Diagnostic Accuracy of Content Based Dermatoscopic Image Retrieval with Deep Classification Features,"Diagnostic Accuracy of Content Based Dermatoscopic Image Retrieval with
+Deep Classification Features
+Tschandl P, Argenziano G, Razmara M, Yap J
+Final version available at https://doi.org/10.1111/bjd.17189
+Citation:
+tschandl cbir2018,
+Author=”Tschandl, P. and Argenziano, G. and Razmara, M. and Yap, J. ”,
+Title=”Diagnostic Accuracy of Content Based Dermatoscopic Image Retrieval with Deep Classification Features”,
+Journal=”Br J Dermatol”,
+Year=”2018”"

+cefd107b19201cd9f403e2f9332c690e81f770b5,A Survey on Databases for Facial Expression Analysis,

+cef2b5ab841568755233994b12cf046c408f881e,Techniques for Statistical Shape Model Building and Fusion,"TECHNIQUES
+STATISTICAL SHAPE MODEL
+BUILDING AND FUSION
+Constantine Butakoff
+(Kostantyn Butakov)"

+ce57cc478421adf85a9058a0cc8fad8ebfd81c52,Multimodal Attribute Extraction,"Multimodal Attribute Extraction
+Robert L. Logan IV
+University of California
+Irvine, CA
+Samuel Humeau
+Diffbot
+Mountain View, CA
+Sameer Singh
+University of California
+Irvine, CA
+Introduction
+Given the large collections of unstructured and semi-structured data available on the web, there is a
+rucial need to enable quick and efficient access to the knowledge content within them. Traditionally,
+the field of information extraction has focused on extracting such knowledge from unstructured text
+documents, such as job postings, scientific papers, news articles, and emails. However, the content
+on the web increasingly contains more varied types of data, including semi-structured web pages,
+tables that do not adhere to any schema, photographs, videos, and audio. Given a query by a user,
+the appropriate information may appear in any of these different modes, and thus there’s a crucial
+need for methods to construct knowledge bases from different types of data, and more importantly,
+Motivated by this goal, we introduce the task of multimodal attribute extraction. Provided contextual"

+ce391bcdb64f7659ddc5a0c2e5c73854c1e8031c,Zur Erlangung Des Grades Des,"FILTERING AND OPTIMIZATION
+STRATEGIES FOR MARKERLESS
+HUMAN MOTION CAPTURE WITH
+SKELETON-BASED SHAPE MODELS.
+DISSERTATION
+ZUR ERLANGUNG DES GRADES DES
+DOKTORS DER INGENIEURWISSENSCHAFTEN (DR.-ING.)
+DER NATURWISSENSCHAFTLICH-TECHNISCHEN FAKULT ¨ATEN
+DER UNIVERSIT ¨AT DES SAARLANDES
+VORGELEGT VON
+JUERGEN GALL
+SAARBR ¨UCKEN"

+ce316d2366ec1b95ee91a98b4f426e6c00cdcdc4,Hierarchical Energy-transfer Features,"Hierarchical Energy-Transfer Features
+Radovan Fusek, Eduard Sojka, Karel Mozdˇreˇn and Milan ˇSurkala
+Technical University of Ostrava, FEECS, Department of Computer Science
+7. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic
+{radovan.fusek, eduard.sojka, karel.mozdren,
+Keywords:
+Object Detection, Recognition, SVM, Image Descriptors, Feature Selection."

+ceb02a8f874c84ece88fcc7be1530a581b1cd1b0,A Novel Geometry-based Algorithm for Robust Grasping in Extreme Clutter Environment,"A Novel Geometry-based Algorithm for Robust Grasping in Extreme Clutter
+Environment
+Olyvia Kundua, Swagat Kumara,∗
+TATA Consultancy Services, Bangalore, India 560066"

+ce85d953086294d989c09ae5c41af795d098d5b2,Bilinear Analysis for Kernel Selection and Nonlinear Feature Extraction,"This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.
+Bilinear Analysis for Kernel Selection and
+Nonlinear Feature Extraction
+Shu Yang, Shuicheng Yan, Member, IEEE, Chao Zhang, and Xiaoou Tang, Senior Member, IEEE"

+ceb4040acf7f27b4ca55da61651a14e3a1ef26a8,Angry Crowds: Detecting Violent Events in Videos,"Angry Crowds:
+Detecting Violent Events in Videos
+Sadegh Mohammadi1, Alessandro Perina1,2, Hamed Kiani1, Vittorio Murino1,3
+Pattern Analysis and Computer Vision (PAVIS),
+Istituto Italiano di Tecnologia, Genova, Italy
+Microsoft Corp,
+WDG Core Data Science, Redmond
+Dept. of Computer Science,
+University of Verona, Italy
+As supplementary material, we selected a few testing video clips from Vio-
+lence in crowds (VIC) [1] dataset to illustrate the effectiveness of the proposed
+Aggression Force compared to the Interaction Force (SFM) [2] and Optical Flow
+for the task of violent detection in video sequences. The scenarios depicted in
+the attached video are captured under very challenging situations including low
+image quality, cluttered background, densely crowded scenes, camera motion,
+occlusions, large scale/illumination variations.
+The qualitative results in video format can be seen in ”video.avi”, highlight-
+ing two major advantages of Aggression Force compared to Social Force and
+Optical Flowing.
+Firstly, the SFM and Optical Flow are very sensitive to footages captured"

+cee700093d6672df48d169ef194861026fe31e8e,Hashing on Nonlinear Manifolds,"Hashing on Nonlinear Manifolds
+Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang, Heng Tao Shen
+in the Hamming space. This means that many algorithms
+which are based on such pairwise comparisons can be made
+more efficient, and applied to much larger datasets. Due to the
+flexibility of hash codes, hashing techniques can be applied
+in many ways. one can, for example, efficiently perform
+similarity search by exploring only those data points falling
+into the close-by buckets to the query by the Hamming
+distance, or use the binary representations for other tasks like
+image classification."

+ceedb191328ac4d968853b948a32b5689c2ac2a2,Semisupervised Dimensionality Reduction and Classification Through Virtual Label Regression,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 41, NO. 3, JUNE 2011
+Semisupervised Dimensionality Reduction and
+Classification Through Virtual Label Regression
+Feiping Nie, Dong Xu, Xuelong Li, Senior Member, IEEE, and Shiming Xiang"

+ce0cc5f078c5224b9599caf518d74ae3023be0a6,Review on computer vision techniques in emergency situations,"(will be inserted by the editor)
+Review on Computer Vision Techniques in Emergency Situations
+Laura Lopez-Fuentes · Joost van de Weijer · Manuel Gonz´alez-Hidalgo · Harald
+Skinnemoen · Andrew D. Bagdanov
+Received: date / Accepted: date"

+ce4853f2214ee1f4c47a97ff45d4e53f6ffd5087,Models and Methods for Bayesian Object Matching,"Helsinki University of Technology Laboratory of Computational Engineering Publications
+Teknillisen korkeakoulun Laskennallisen tekniikan laboratorion julkaisuja
+Espoo 2005
+REPORT B52
+MODELS AND METHODS FOR BAYESIAN OBJECT
+MATCHING
+Toni Tamminen
+AB TEKNILLINEN KORKEAKOULU
+TEKNISKA H(cid:214)GSKOLAN
+HELSINKI UNIVERSITY OF TECHNOLOGY
+TECHNISCHE UNIVERSIT˜T HELSINKI
+UNIVERSITE DE TECHNOLOGIE D’HELSINKI"

+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"

+cef092bf9beed65e379ab48ef2b43498d4aaea92,Process Monitoring in the Intensive Care Unit: Assessing Patient Mobility Through Activity Analysis with a Non-Invasive Mobility Sensor,"Process Monitoring in the Intensive Care Unit:
+Assessing Patient Mobility Through Activity
+Analysis with a Non-Invasive Mobility Sensor
+Austin Reiter1(B), Andy Ma1, Nishi Rawat2, Christine Shrock2,
+nd Suchi Saria1
+The Johns Hopkins University, Baltimore, MD, USA
+Johns Hopkins Medical Institutions, Baltimore, MD, USA"

+ce12bbb8ce974df4b64f18e478d7fa99b722de03,A Hybrid Data Association Framework for Robust Online Multi-Object Tracking,"A Hybrid Data Association Framework for Robust
+Online Multi-Object Tracking
+Min Yang, Yuwei Wu∗, and Yunde Jia Member, IEEE,"

+ce9a61bcba6decba72f91497085807bface02daf,Eigen-harmonics faces: face recognition under generic lighting,"Eigen-Harmonics Faces: Face Recognition under Generic Lighting
+Laiyun Qing1,2, Shiguang Shan2, Wen Gao1,2
+Graduate School, CAS, Beijing, China, 100080
+ICT-ISVISION Joint R&D Laboratory for Face Recognition, CAS, Beijing, China, 100080
+Emails: {lyqing, sgshan, wgao}jdl.ac.cn"

+cef6cffd7ad15e7fa5632269ef154d32eaf057af,Emotion Detection Through Facial Feature Recognition,"Emotion Detection Through Facial Feature
+Recognition
+James Pao
+through  consistent"

+ce3ee08f4d937a6dcb2d6dd0a1ca100920f312e6,Literature Survey On Contactless Palm Vein Recognition,"International Journal of Computer Science Trends and Technology (IJCST) – Volume 3 Issue 5, Sep-Oct 2015
+RESEARCH  ARTICLE
+Literature Survey On Contactless Palm Vein Recognition
+Roshni C Rahul [1], Merin  Cherian [2], Manu Mohan C M [3]
+Department of Computer Science [1], Department of Science [2], Department of Electronics [3]
+OPEN  ACCESS
+Mahatma Gandhi University
+Kerala - India"

+cebfafea92ed51b74a8d27c730efdacd65572c40,Matching 2.5D face scans to 3D models,"JANUARY 2006
+Matching 2.5D Face Scans to 3D Models
+Xiaoguang Lu, Student Member, IEEE, Anil K. Jain, Fellow, IEEE, and
+Dirk Colbry, Student Member, IEEE"

+ce0dbe6b1abecb54dcc98dbe652aa63d190dbc94,Part-Based Models for Finding People and Estimating Their Pose,"Part-based models for finding people and
+estimating their pose
+Deva Ramanan"

+ced4853617ba6af27f5447f9c4de07c3e05e8c3b,Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations,"Real-Time Joint Semantic Segmentation and Depth Estimation Using
+Asymmetric Annotations
+Vladimir Nekrasov1, Thanuja Dharmasiri2, Andrew Spek2, Tom Drummond2, Chunhua Shen1 and Ian Reid1"

+cea85314294f9731661a419f627cb99331ad9c50,Race recognition using local descriptors,"978-1-4673-0046-9/12/$26.00 ©2012 IEEE
+ICASSP 2012"

+ce54e891e956d5b502a834ad131616786897dc91,Face Recognition Using LTP Algorithm,"International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Index Copernicus Value (2013): 6.14 | Impact Factor (2014): 5.611
+Face Recognition Using LTP Algorithm
+Richa Sharma1, Rohit Arora2
+ECE & KUK
+Assistant Professor (ECE)
+Volume 4 Issue 12, December 2015
+Licensed Under Creative Commons Attribution CC BY
+www.ijsr.net
+  Variation  in  luminance:  Third  main  challenge  that
+ppears in face recognition process is the luminance. Due
+to variation in the luminance the representation get varied
+from  the  original  image.  The  person  with  same  poses
+expression and seen from same viewpoint can be appear
+very different due to variation in lightening."

+ce6d23894f88349443e7c9fe512ca81291bb2e00,VIENA2: A Driving Anticipation Dataset,"VIENA2: A Driving Anticipation Dataset
+Mohammad Sadegh Aliakbarian1,2,4, Fatemeh Sadat Saleh1,4, Mathieu
+Salzmann3, Basura Fernando2, Lars Petersson1,4, and Lars Andersson4
+ANU, 2ACRV, 3CVLab, EPFL, 4Data61-CSIRO"

+ce06015fc0eb2add064ef93c9b97ad063c03aef4,Person Re-identification in Surveillance Videos using Multi-part Color Descriptor,"International Journal of Computer Applications (0975 – 8887)
+Volume 121 – No.16, July 2015
+Person Re-identification in Surveillance Videos
+using Multi-part Color Descriptor
+P.K. Sathish
+S. Balaji
+Computer Science and Engineering Dept.
+Centre for Emerging Technologies, Jain University
+Christ University
+Bengaluru- 560074"

+ce073cb70eec80d87c9e07a4ec2d4162d91e23a6,Positive Definite Matrices: Data Representation and Applications to Computer Vision,"Positive Definite Matrices: Data Representation
+nd Applications to Computer Vision
+Anoop Cherian and Suvrit Sra"

+ce6f459462ea9419ca5adcc549d1d10e616c0213,A Survey on Face Identification Methodologies in Videos,"A Survey on Face Identification Methodologies in
+Videos
+Student, M.Tech  CSE ,Department of Computer Science
+& Engineering ,G.H.Raisoni College of Engineering &
+Technology for Women, Nagpur, Maharashtra, India.
+Deepti Yadav"

+ce933821661a0139a329e6c8243e335bfa1022b1,Temporal Modeling Approaches for Large-scale Youtube-8M Video Understanding,"Temporal Modeling Approaches for Large-scale
+Youtube-8M Video Understanding
+Fu Li, Chuang Gan, Xiao Liu, Yunlong Bian, Xiang Long, Yandong Li, Zhichao Li, Jie Zhou, Shilei Wen
+Baidu IDL & Tsinghua University"

+cea50611ba73b5775cc2fe1e9c27990a0bb20cf8,Gabor Feature Based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary,"Gabor Feature based Sparse Representation for
+Face Recognition with Gabor Occlusion
+Dictionary
+Meng Yang, Lei Zhang ⋆
+Biometric Research Center, Dept. of Computing, The Hong Kong Polytechnic
+University, Hong Kong,"

+e0d2a28bdcb1996f9659ce2d5fcdace3d369cff6,Fusion Scheme for Semantic and Instance-level Segmentation,"Fusion Scheme for Semantic and Instance-level Segmentation
+Arthur Daniel Costea ∗, Andra Petrovai ∗ and Sergiu Nedevschi
+Image Processing and Pattern Recognition Research Center
+Technical University of Cluj-Napoca, Romania
+{arthur.costea, andra.petrovai,"

+e000dd1aec1c7b1e9e781ec7ea66f2bde72faa5e,Ear Recognition: A Complete System,"Ear Recognition: A Complete System
+Ayman Abazaa,b and MaryAnn F. Harrisona
+West Virginia High Tech Foundation, 1000 Technology Drive, Fairmont, USA;
+Cairo University, Cairo, Egypt"

+e0e8c7145c9b389dad2f4e1982f2b9c31b766503,Augmenting Crowd-Sourced 3 D Reconstructions using Semantic Detections,"Augmenting Crowd-Sourced 3D Reconstructions using Semantic Detections
+True Price1
+Department of Computer Science, UNC Chapel Hill
+Johannes L. Sch¨onberger2
+Zhen Wei1 Marc Pollefeys2
+Department of Computer Science, ETH Z¨urich
+Jan-Michael Frahm1
+Microsoft"

+e0dedb6fc4d370f4399bf7d67e234dc44deb4333,Supplementary Material: Multi-Task Video Captioning with Video and Entailment Generation,"Supplementary Material: Multi-Task Video Captioning with Video and
+Entailment Generation
+Ramakanth Pasunuru and Mohit Bansal
+UNC Chapel Hill
+{ram,
+Experimental Setup
+.1 Datasets
+.1.1 Video Captioning Datasets
+YouTube2Text or MSVD The Microsoft Re-
+search Video Description Corpus (MSVD) or
+YouTube2Text (Chen and Dolan, 2011) is used
+for our primary video captioning experiments. It
+has 1970 YouTube videos in the wild with many
+diverse captions in multiple languages for each
+video. Caption annotations to these videos are
+ollected using Amazon Mechanical Turk (AMT).
+All our experiments use only English captions. On
+verage, each video has 40 captions, and the over-
+ll dataset has about 80, 000 unique video-caption
+pairs. The average clip duration is roughly 10 sec-"

+e096b11b3988441c0995c13742ad188a80f2b461,DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers,"Noname manuscript No.
+(will be inserted by the editor)
+DeepProposals: Hunting Objects and Actions by Cascading
+Deep Convolutional Layers
+Amir Ghodrati · Ali Diba · Marco Pedersoli · Tinne Tuytelaars · Luc
+Van Gool
+Received: date / Accepted: date"

+e0aa9ab8f00b2bf0dd1b6ffd5c00e5a15b6a67e1,Robust Visual Tracking via Hierarchical Convolutional Features,"Robust Visual Tracking
+via Hierarchical Convolutional Features
+Chao Ma, Jia-Bin Huang, Xiaokang Yang, and Ming-Hsuan Yang"

+e0eb1d66f244456063409264ed795d9893565011,Inhibited Softmax for Uncertainty Estimation in Neural Networks,"Electronic Preprint
+INHIBITED SOFTMAX FOR UNCERTAINTY ESTIMATION
+IN NEURAL NETWORKS
+Marcin Mo˙zejko, Mateusz Susik & Rafał Karczewski
+Sigmoidal"

+e043d79f4dc41c9decaf637d8ffdd11f8ed59f2b,Distance metric learning for image and webpage comparison. (Apprentissage de distance pour la comparaison d'images et de pages Web),"Distance metric learning for image and webpage
+omparison
+Marc Teva Law
+To cite this version:
+Marc Teva Law. Distance metric learning for image and webpage comparison. Image Processing. Uni-
+versité Pierre et Marie Curie - Paris VI, 2015. English. <NNT : 2015PA066019>. <tel-01135698v2>
+HAL Id: tel-01135698
+https://tel.archives-ouvertes.fr/tel-01135698v2
+Submitted on 18 Mar 2015
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de
+recherche français ou étrangers, des laboratoires"

+e0cac58f3855cd84b9d28f508b2f7711e0d7e44a,3a: a Person Re-identification System via Attribute Augmentation and Aggregation,"978-1-5090-4117-6/17/$31.00 ©2017 IEEE
+ICASSP 2017"

+e0181f7596b475f7c7d31fd1eccad8e9b7379180,Facial Expression Recognition for Traumatic Brain Injured Patients,

+e00bdb0b046c4d21517ca808a4233a6fd5f3faee,Efficient Retina-like Resampling from Cartesian Images,"VII Workshop de Vis˜ao Computacional – WVC 2011
+Efficient Retina-like Resampling from Cartesian Images
+Hugo Vieira Neto, Diogo Rosa Kuiaski and Gustavo Benvenutti Borba
+Graduate School of Electrical Engineering and Applied Computer Science
+Federal University of Technology - Paran´a, Brazil"

+e09c7bbf1bef602018928acb395f09448a0366b8,Learning beautiful (and ugly) attributes,"MARCHESOTTI, PERRONNIN: LEARNING BEAUTIFUL (AND UGLY) ATTRIBUTES
+Learning beautiful (and ugly) attributes
+Luca Marchesotti
+Florent Perronnin
+Xerox Research Centre Europe
+Meylan, France"

+e05444e51d292bda871388c22b97400ed4cf73a8,An Overview of Recent Approaches in Person Re-Identification,An Overview of Recent Approaches in Person Re-Identification

+e0939b4518a5ad649ba04194f74f3413c793f28e,Mind-reading machines : automated inference of complex mental states Rana,"Technical Report
+UCAM-CL-TR-636
+ISSN 1476-2986
+Number 636
+Computer Laboratory
+Mind-reading machines:
+utomated inference
+of complex mental states
+Rana Ayman el Kaliouby
+July 2005
+5 JJ Thomson Avenue
+Cambridge CB3 0FD
+United Kingdom
+phone +44 1223 763500
+http://www.cl.cam.ac.uk/"

+e01ac06aa1f0b193a620bf70c5dad91128a1bc90,CAPTAIN: Comprehensive Composition Assistance for Photo Taking,"International Journal on Computer Vision manuscript No.
+(will be inserted by the editor)
+CAPTAIN: Comprehensive Composition Assistance for Photo
+Taking
+Farshid Farhat · Mohammad Mahdi Kamani · James Z. Wang
+Received: date / Accepted: date"

+e0e71b59a34c97d15e5ff148fb9a43b892d45bd5,Facial Expression Emotion Detection for Real-Time Embedded Systems,"Article
+Facial Expression Emotion Detection for Real-Time
+Embedded Systems †
+Saeed Turabzadeh 1, Hongying Meng 1,* ID , Rafiq M. Swash 1 ID , Matus Pleva 2 ID and Jozef Juhar 2 ID
+Department of Electronic and Computer Engineering, Brunel University London, Uxbridge UB8 3PH, UK;
+(S.T.); (R.M.S.)
+Department of Electronics and Multimedia Telecommunications, Technical University of Kosice, Letna 9,
+04001 Kosice, Slovakia; (M.P.); (J.J.)
+* Correspondence: Tel.: +44-1895-265496
+This paper is an extended version of our paper in Proceedings of Innovative Computing Technology
+(INTECH 2017), Luton, UK, 16–18 August 2017; with permission from IEEE.
+Received: 15 December 2017; Accepted: 22 January 2018; Published: 26 January 2018"

+e0ed0e2d189ff73701ec72e167d44df4eb6e864d,Recognition of static and dynamic facial expressions: a study review,"Recognition of static and dynamic facial expressions: a study review
+Estudos de Psicologia, 18(1), janeiro-março/2013, 125-130
+Nelson Torro Alves
+Federal University of Paraíba"

+e018c7f468a9b61cd6e7dcbc40b332a8a25808ae,Face Recognition by Face Bunch Graph Method,"Face Recognition by Face Bunch Graph Method
+JIRI STASTNY*, VLADISLAV SKORPIL**
+* Department of Automation and Computer Science,
+** Department of Telekommunications,
+Brno University of Technology,
+Purkynova 118,  612 00 Brno,
+CZECH  REPUBLIC,"

+e065a2cb4534492ccf46d0afc81b9ad8b420c5ec,SFace: An Efficient Network for Face Detection in Large Scale Variations,"SFace: An Ef‌f‌icient Network for Face Detection
+in Large Scale Variations
+Jianfeng Wang12∗, Ye Yuan 1†, Boxun Li†, Gang Yu† and Sun Jian†
+College of Software, Beihang University∗
+Megvii Inc. (Face++)†"

+e013c650c7c6b480a1b692bedb663947cd9d260f,Robust Image Analysis With Sparse Representation on Quantized Visual Features,"Robust Image Analysis With Sparse Representation
+on Quantized Visual Features
+Bing-Kun Bao, Guangyu Zhu, Jialie Shen, and Shuicheng Yan, Senior Member, IEEE"

+e01058388d139e027482a7d89a2997606f7ef4fd,Global-residual and Local-boundary Refinement Networks for Rectifying Scene Parsing Predictions,"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)
+Input (b) FCN Based Model (c) GRN (d) Input (f) LRN (e) FCN Based Model Figure1:ResultofFCNbasedmodel(b)hasinconsistentlabelsinwall,curtainandbedsidetable,whichcanberefinedbytheproposedGRN(c).ResultofFCNbasedmodel(e)hasimpreciseanddiscon-tinuousobjectboundariesofcabinet,tableandchairs,whichcanberefinedbytheproposedLRN(f).stepinmanypracticalframeworks.Forexample,inobjectdetection,bounding-boxrefinement[GidarisandKomodakis,2015]iswidelyusedin[Heetal.,2016][Belletal.,2016][Shrivastavaetal.,2016],bringingsignificantimprovementofbounding-boxlocalizationandscoring.Inspiredbyitssuccess,wedesigntwonewrefinementnetworksparticularlyforrectifyingtheparsingpredictions,frombothglobalandlocalviewsrespectively.Eachofthetwonetworkscanbeemployedaftertheexistingparsingframeworksindividually.Moreover,cascadingthemtogetherforrefinementcangainmorepreciseparsingresults.Firstly,weconsiderperformingrefinementfromtheglobalview.Inconsistentparsingresultsareverycommoninpre-dictionsofexistingsceneparsingframeworks,asshowninFigure1(b).Toaddressthisproblem,wedesigntheGlobal-residualRefinementNetwork(GRN)throughexploit-ingglobalcontextualinformationandspatiallayoutrelation-shipsduringrefining.ThisnetworktakestheoriginalimagesandtheKconfidencemaps(i.e.,theoutputofthelastlayerbeforeSoftMaxlayer,eachforoneoftheKsemanticclasses)asinput.Thenoutputstheglobalparsingresidual,whichwillbeaddedtotheinputconfidencemapstoobtaintheglobalrectifyingresults.Thisnetworkeffectivelycapturesglobalcontextualinformationbyiterativelyusingadeepneuralnet-workwithlargereceptivefields.AfterglobalrefinementbyGRN,somemislabelingcanbecorrectedandsomeinconsis-"

+e00526ff149bd61f6811ba2f2145ed22d9306319,Personal Space Regulation in Childhood Autism Spectrum Disorders,"Personal Space Regulation in Childhood Autism
+Spectrum Disorders
+Erica Gessaroli1,2, Erica Santelli3, Giuseppe di Pellegrino1,4*, Francesca Frassinetti1,2*
+Department of Psychology, University of Bologna, Bologna, Italy, 2 Fondazione Salvatore Maugeri, Clinica del Lavoro e della Riabilitazione, Istituto di Ricovero
+e  Cura  a  Carattere  Scientifico,  Mantova,  Castel  Goffredo,  Italy,  3  Centro  Autismo,  Reggio  Emilia,  Italy,  4  Center  for  Studies  and  Research  in  Cognitive
+Neuroscience, Cesena, Italy"

+e0739088d578b2abf583e30953ffa000620cca98,Efficient Pedestrian Detection in Urban Traffic Scenes,"Efficient Pedestrian Detection in Urban Traffic Scenes
+Dissertation
+Erlangung des Doktorgrades (Dr. rer. nat.)
+Mathematisch-Naturwissenschaftlichen Fakult¨at
+Rheinischen Friedrich-Wilhelms-Universit¨at Bonn
+vorgelegt von
+Shanshan Zhang
+Jiangxi, V.R. China
+Bonn, 2014"

+e0082ae9e466f7c855fb2c2300215ced08f61432,Generative Temporal Models with Spatial Memory for Partially Observed Environments,"Generative Temporal Models with Spatial Memory
+for Partially Observed Environments
+Marco Fraccaro 1 * Danilo Jimenez Rezende 2 Yori Zwols 2 Alexander Pritzel 2 S. M. Ali Eslami 2 Fabio Viola 2"

+e076f818b090e42036821c69727cfa3b7da49373,Social Groups Detection in Crowd through Shape-Augmented Structured Learning,"Social Groups Detection in Crowd Through
+Shape-Augmented Structured Learning
+Francesco Solera and Simone Calderara
+DIEF University of Modena and Reggio Emilia, Italy"

+e0515dc0157a89de48e1120662afdd7fe606b544,Perception Science in the Age of Deep Neural Networks,"SPECIALTY GRAND CHALLENGE
+published: 02 February 2017
+doi: 10.3389/fpsyg.2017.00142
+Perception Science in the Age of
+Deep Neural Networks
+Rufin VanRullen 1, 2*
+Centre National de la Recherche Scientifique, UMR 5549, Faculté de Médecine Purpan, Toulouse, France, 2 Université de
+Toulouse, Centre de Recherche Cerveau et Cognition, Université Paul Sabatier, Toulouse, France
+Keywords: perception, neuroscience, psychology, neural networks, deep learning, artificial intelligence
+For decades, perception was considered a unique ability of biological systems, little understood in
+its inner workings, and virtually impossible to match in artificial systems. But this status quo was
+upturned in recent years, with dramatic improvements in computer models of perception brought
+bout by “deep learning” approaches. What does all the ruckus about a “new dawn of artificial
+intelligence” imply for the neuroscientific and psychological study of perception? Is it a threat, an
+opportunity, or maybe a little of both?
+WHILE WE WERE SLEEPING...
+My personal journey in the field of perception science started about 20 years ago. For as long as
+I can remember, we perception scientists have exploited in our papers and grant proposals the
+lack of human-level artificial perception systems, both as a justification for scientific inquiry, and
+s a convenient excuse for using a cautious, methodical approach—i.e., “baby steps.” Visual object"

+e0e511a5d58a8d090ad169be4fcfdbeaef097a70,Leveraging Cognitive Computing for Gender and Emotion Detection,"Leveraging Cognitive Computing for Gender and
+Emotion Detection
+Andrea Corriga1, Simone Cusimano1, Francesca M. Malloci1, Lodovica
+Marchesi1 and Diego Reforgiato Recupero1
+Department of Mathematics and Computer Science,
+University of Cagliari, Via Ospedale 72, 09124, Cagliari"

+4640dfc0bfe7923c08d0c762a9c33b52b9029409,Head Movement and Facial Expression Transfer from 2D Video to a 3D Model,"Head Movement and Facial Expression Transfer
+from 2D Video to a 3D Model
+Mairead Grogan
+A dissertation submitted to the University of Dublin, Trinity College,
+in partial fulfilment of the requirements for the degree of
+Master of Science in Computer Science (Interactive Entertainment Technology)
+University of Dublin, Trinity College"

+46a4551a6d53a3cd10474ef3945f546f45ef76ee,Robust and continuous estimation of driver gaze zone by dynamic analysis of multiple face videos,"014 IEEE Intelligent Vehicles Symposium (IV)
+June 8-11, 2014. Dearborn, Michigan, USA
+978-1-4799-3637-3/14/$31.00 ©2014 IEEE"

+4686bdcee01520ed6a769943f112b2471e436208,Fast search based on generalized similarity measure,"Utsumi et al. IPSJ Transactions on Computer Vision and
+Applications  (2017) 9:11
+DOI 10.1186/s41074-017-0024-5
+IPSJ Transactions on Computer
+Vision and Applications
+EXPRESS PAPER
+Open Access
+Fast search based on generalized
+similarity measure
+Yuzuko Utsumi*†, Tomoya Mizuno†, Masakazu Iwamura and Koichi Kise"

+4688787d064e59023a304f7c9af950d192ddd33e,Investigating the Discriminative Power of Keystroke Sound,"Investigating the Discriminative Power of Keystroke
+Sound
+Joseph Roth Student Member, IEEE,, Xiaoming Liu, Member, IEEE, Arun Ross, Senior Member, IEEE,
+nd Dimitris Metaxas, Member, IEEE"

+46d0a519da10160a20a3070cc53e5b9401066526,Incremental Learning of Random Forests for Large-Scale Image Classification,"Incremental Learning of Random Forests for
+Large-Scale Image Classification
+Marko Ristin, Matthieu Guillaumin, Juergen Gall, Member, IEEE and Luc Van Gool, Member, IEEE"

+46f2611dc4a9302e0ac00a79456fa162461a8c80,Spatio-Temporal Channel Correlation Networks for Action Classification,"for Action Classification
+Ali Diba1,4,(cid:63), Mohsen Fayyaz3,(cid:63), Vivek Sharma2, M.Mahdi Arzani4, Rahman
+Yousefzadeh4, Juergen Gall3, Luc Van Gool1,4
+ESAT-PSI, KU Leuven, 2CV:HCI, KIT, Karlsruhe, 3University of Bonn, 4Sensifai"

+46c52f92e10fd2f2dddda162ad7995a1658e1245,Finding Socio-Textual Associations Among Locations,"Series ISSN: 2367-2005
+0.5441/002/edbt.2017.12"

+46a01565e6afe7c074affb752e7069ee3bf2e4ef,Local Descriptors Encoded by Fisher Vectors for Person Re-identification,"Local Descriptors Encoded by Fisher Vectors for Person
+Re-identification
+Bingpeng Ma, Yu Su, Fr´ed´eric Jurie
+To cite this version:
+Bingpeng Ma, Yu Su, Fr´ed´eric Jurie. Local Descriptors Encoded by Fisher Vectors for Person
+Re-identification. 12th European Conference on Computer Vision (ECCV) Workshops, 2012,
+Italy. pp.413-422, 2012, <10.1007/978-3-642-33863-2 41>. <hal-00806066>
+HAL Id: hal-00806066
+https://hal.archives-ouvertes.fr/hal-00806066
+Submitted on 29 Mar 2013
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+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"

+46994b489f7c673d031f6ef644e84ebe5d843d93,A learning-based visual saliency prediction model for stereoscopic 3D video (LBVS-3D),"A Learning-Based Visual Saliency Prediction
+Model for Stereoscopic 3D Video (LBVS-3D)
+Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, and Panos Nasiopoulos"

+46386d4aa6a2b96106ab1d18658103622b24f9d8,Google Street View images support the development of vision-based driver assistance systems,"Google Street View Images Support the Development of
+Vision-Based Driver Assistance Systems
+Jan Salmen∗, Sebastian Houben∗, and Marc Schlipsing∗"

+462e4d0b35bf571bfc35dcd8e9bd589dca07a464,"Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation","Inverted Residuals and Linear Bottlenecks: Mobile Networks for
+Classification, Detection and Segmentation
+Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen
+{sandler, howarda, menglong, azhmogin,
+Google Inc."

+46282f10271875647219b641dac2cc01c7dc8ab2,Psychopathic traits are associated with reduced fixations to the eye region of fearful faces.,"018, Vol. 127, No. 1, 43–50
+0021-843X/18/$12.00
+© 2018 American Psychological Association
+http://dx.doi.org/10.1037/abn0000322
+Psychopathic Traits Are Associated With Reduced Fixations to the Eye
+Region of Fearful Faces
+Monika Dargis, Richard C. Wolf, and Michael Koenigs
+University of Wisconsin–Madison
+Impairments in processing fearful faces have been documented in both children and adults with
+psychopathic traits, suggesting a potential mechanism by which psychopathic individuals develop callous
+nd manipulative interpersonal and affective traits. Recently, research has demonstrated that psycho-
+pathic traits are associated with reduced fixations to the eye regions of faces in samples of children and
+ommunity-dwelling adults, however this relationship has not yet been established in an offender sample
+with high levels of psychopathy. In the current study, we employed eye-tracking with paradigms
+involving the identification and passive viewing of facial expressions of emotion, respectively, in a
+sample of adult male criminal offenders (n ⫽ 108) to elucidate the relationship between visual processing
+of fearful facial expressions and interpersonal and affective psychopathic traits. We found that the
+interpersonal-affective traits of psychopathy were significantly related to fewer fixations to the eyes of
+fear faces during the emotion recognition task. This association was driven particularly by the interper-
+sonal psychopathic traits (e.g., egocentricity, deceitfulness), whereas fear recognition accuracy was"

+4669b079c3ca15aba08130c36ead597014f7341a,GrabCut-Based Human Segmentation in Video Sequences,"Sensors 2012, 12, 15376-15393; doi:10.3390/s121115376
+OPEN ACCESS
+sensors
+ISSN 1424-8220
+www.mdpi.com/journal/sensors
+Article
+GrabCut-Based Human Segmentation in Video Sequences
+Antonio Hern´andez-Vela 1,2,⋆, Miguel Reyes 1,2, V´ıctor Ponce 1,2 and Sergio Escalera 1,2
+Departamento MAIA, Universitat de Barcelona, Gran Via 585, 08007 Barcelona, Spain;
+E-Mails: (M.R.); (V.P.); (S.E.)
+Centre de Visi´o per Computador, Campus UAB, Edifici O, 08193 Bellaterra, Barcelona, Spain
+* Author to whom correspondence should be addressed; E-Mail:
+Tel.: +34-93-402-1897; Fax: +34-93-402-1601.
+Received: 4 September 2012; in revised form: 1 November 2012 / Accepted: 6 November 2012 /
+Published: 9 November 2012"

+463bfb0b55c085cda77c2c6e1583abb64baa5d0a,Learning Arbitrary Potentials in CRFs with Gradient Descent,"Learning Arbitrary Potentials in CRFs with Gradient Descent
+M˚ans Larsson1
+Fredrik Kahl1,2
+Chalmers Univ. of Technology 2Lund Univ.
+Shuai Zheng3 Anurag Arnab3
+Oxford Univ.
+Philip Torr3 Richard Hartley4
+Australian National Univ."

+46f5bb35ea99c62320199b1f0924a4e7c0b001d3,Perspective-Aware CNN For Crowd Counting,"Perspective-Aware CNN For Crowd Counting
+Miaojing Shi, Zhaohui Yang, Chao Xu, Member, IEEE, and Qijun Chen, Senior Member, IEEE"

+465b75fa4b84948e19d8bf2ebf4fe4459c3c87ae,A deformation model to reduce the effect of expressions in 3D face recognition,"Vis Comput (2011) 27: 333–345
+DOI 10.1007/s00371-010-0530-2
+O R I G I NA L A RT I C L E
+A deformation model to reduce the effect of expressions in 3D face
+recognition
+Yueming Wang · Gang Pan · Jianzhuang Liu
+Published online: 5 November 2010
+© Springer-Verlag 2010"

+466a5add15bb5f91e0cfd29a55f5fb159a7980e5,Video Repeat Recognition and Mining by Visual Features,"Video Repeat Recognition and Mining by Visual
+Features
+Xianfeng Yang1and Qi Tian"

+46b031a3e368f25dd1e42f70f21165fef7b16de2,"Faces in the mirror, from the neuroscience of mimicry to the emergence of mentalizing.","doi 10.4436/jass.94037
+Vol. 94 (2016), pp. 113-126
+Faces in the mirror, from the neuroscience of mimicry
+to the emergence of mentalizing
+Antonella Tramacere & Pier Francesco Ferrari
+University of Parma, Dep. of Neuroscience, via Volturno 39, 43100, Parma, Italy
+e-mail:
+Summary - In the current opinion paper, we provide a comparative perspective on specific aspects
+of primate empathic abilities, with particular emphasis on the mirror neuron system associated with
+mouth/face actions and expression. Mouth and faces can be very salient communicative classes of stimuli
+that allow an observer access to the emotional and physiological content of other individuals. We thus
+describe patterns of activations of neural populations related to observation and execution of specific
+mouth actions and emotional facial expressions in some species of monkeys and in humans. Particular
+ttention is given to dynamics of face-to-face interactions in the early phases of development and to
+the differences in the anatomy of facial muscles among different species of primates. We hypothesize
+that increased complexity in social environments and patterns of social development have promoted
+specializations of facial musculature, behavioral repertoires related to production and recognition of
+facial emotional expression, and their neural correlates. In several primates, mirror circuits involving
+parietal-frontal regions, insular regions, cingulate cortices, and amygdala seem to support automatic
+forms of embodied empathy, which probably contribute to facial mimicry and behavioural synchrony."

+46f3b113838e4680caa5fc8bda6e9ae0d35a038c,Automated Dermoscopy Image Analysis of Pigmented Skin Lesions,"Cancers 2010, 2, 262-273; doi:10.3390/cancers2020262
+OPEN ACCESS
+ancers
+ISSN 2072-6694
+www.mdpi.com/journal/cancers
+Review
+Automated Dermoscopy Image Analysis of Pigmented Skin
+Lesions
+Alfonso Baldi 1,2,*, Marco Quartulli 3, Raffaele Murace 2, Emanuele Dragonetti 2,
+Mario Manganaro 3, Oscar Guerra 3 and Stefano Bizzi 3
+Department of Biochemistry, Section of Pathology, Second University of Naples, Via L. Armanni
+5, 80138 Naples, Italy
+Futura-onlus, Via Pordenone 2, 00182 Rome, Italy; E-Mail:
+ACS, Advanced Computer Systems, Via della Bufalotta 378, 00139 Rome, Italy
+*  Author to whom correspondence should be addressed; E-Mail:
+Fax: +390815569693.
+Received: 23 February 2010; in revised form: 15 March 2010 / Accepted: 25 March 2010 /
+Published: 26 March 2010"

+4602bbec65b0c718d5887fdf2381fb7cee77a64d,Explicit Occlusion Modeling for 3D Object Class Representations,"Explicit Occlusion Modeling for 3D Object Class Representations
+M. Zeeshan Zia1, Michael Stark2, and Konrad Schindler1
+Photogrammetry and Remote Sensing, ETH Z¨urich, Switzerland
+Stanford University and Max Planck Institute for Informatics"

+46471a285b1d13530f1885622d4551b48c19fc67,Generating Artificial Data for Private Deep Learning,"Generating Artificial Data for Private Deep Learning
+Ecole Polytechnique Fédérale de Lausanne
+Ecole Polytechnique Fédérale de Lausanne
+Aleksei Triastcyn
+Artificial Intelligence Laboratory
+Lausanne, Switzerland
+Boi Faltings
+Artificial Intelligence Laboratory
+Lausanne, Switzerland"

+46d728356b5090bc28461b30cb21a08c3a690195,"Deep Multi-patch Aggregation Network for Image Style, Aesthetics, and Quality Estimation","Deep Multi-Patch Aggregation Network
+for Image Style, Aesthetics, and Quality Estimation
+Xin Lu(cid:63)
+James Z. Wang(cid:63)
+(cid:63)The Pennsylvania State University, University Park, Pennsylvania
+Zhe Lin† Xiaohui Shen† Radom´ır Mˇech†
+Adobe Research, San Jose, California
+{xinlu, {zlin, xshen,"

+46a553e670027e838716e5a1a39577d7cd7a4893,Face Recognition using TSF Model and DWT based Multilevel Illumination Normalization,"International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Index Copernicus Value (2013): 6.14 | Impact Factor (2014): 5.611
+Face Recognition using TSF Model and DWT based
+Multilevel Illumination Normalization
+Midhun Madhusoodanan1, Jini Cheriyan2
+M.Tech Scholar (Signal Processing), Department of Electronics and Communication, TKM Institute of Technology,
+MusaliarHills, Karuvelil P.O, Ezhukone, Kollam-691505, Kerala, India
+Assistant Professor, Department of Electronics and Communication, TKM Institute of Technology,
+Musaliar Hills, Karuvelil P.O, Ezhukone, Kollam-691505, Kerala, India
+recognition
+is  a"

+4684c487758df6b6bf4b69f3fe22e1aad874378a,A Discriminative Voting Scheme for Object Detection using Hough Forests,"VIJAY KUMAR B G, IOANNIS PATRAS:
+A Discriminative Voting Scheme for Object
+Detection using Hough Forests
+Vijay Kumar.B.G
+Dr Ioannis Patras
+Multimedia Vision Research Group
+Queen Mary, UoL
+London, UK"

+46df854f57b6553b4b3238779e46bf2a3a3fffcf,3D Face Recognition using ICP and Geodesic Computation Coupled Approach,"D Face Recognition using ICP and Geodesic
+Computation Coupled Approach
+Karima Ouji‡, Boulbaba Ben Amor§, Mohsen Ardabilian§,
+Faouzi Ghorbel‡, and Liming Chen§
+§LIRIS, Laboratoire d’InfoRmatique en Image et Systmes d’information,
+6, av. Guy de Collongue, 69134 Ecully, France.
+GRIFT, Groupe de Recherche en Images et Formes de Tunisie,
+Ecole Nationale des Sciences de l’Informatique, Tunisie.
+Key words: 3D face recognition, Iterative Closest Point, Geodesics computa-
+tion, biometric evaluation"

+46538b0d841654a0934e4c75ccd659f6c5309b72,A Novel Approach to Generate Face Biometric Template Using Binary Discriminating Analysis,"Signal & Image Processing : An International Journal (SIPIJ) Vol.5, No.1, February 2014
+A NOVEL APPROACH TO GENERATE FACE
+BIOMETRIC TEMPLATE USING BINARY
+DISCRIMINATING ANALYSIS
+Shraddha S. Shinde1 and Prof. Anagha P. Khedkar2
+P.G. Student, Department of Computer Engineering, MCERC, Nashik (M.S.), India.
+Associate Professor, Department of Computer Engineering,
+MCERC, Nashik (M.S.), India"

+469ee1b00f7bbfe17c698ccded6f48be398f2a44,SURVEy: Techniques for Aging Problems in Face Recognition,"MIT International Journal of Computer Science and Information Technology, Vol. 4, No. 2, August 2014, pp. 82-88
+ISSN 2230-7621©MIT Publications
+SURVEy: Techniques for
+Aging Problems in Face Recognition
+Aashmi
+Sakshi Sahni
+Sakshi Saxena
+Scholar, Computer Science Engg. Dept.
+Moradabad Institute of Technology
+Scholar, Computer Science Engg. Dept.
+Moradabad Institute of Technology
+Scholar, Computer Science Engg. Dept.
+Moradabad Institute of Technology
+Moradabad, U.P., INDIA
+Moradabad, U.P., INDIA
+Moradabad, U.P., INDIA
+E-mail:
+E-mail:
+E-mail:"

+468aaa87ccdba65f3115bd0864f7772b6706c00e,A Survey on Heterogeneous Face Matching : NIR Images to VIS Images,"International Journal of Computer Applications (0975 – 8887)
+Emerging Trends In Computing 2016
+Heterogeneous Face Matching: NIR images to VIS
+Images
+Sandhya  R.Waddhavane
+M.E Student
+Department of Computer Engineering
+KKWIEER, Nashik, India.
+Savitribai Phule Pune University,Pune
+S.M.Kamalapur, PhD
+Associate Professor
+Department of Computer Engineering
+KKWIEER, Nashik, India.
+Savitribai Phule Pune University,Pune"

+46c3e8c2b2042b193659c0a613adc72100a2f301,Vision for Robotics By Danica Kragic and Markus Vincze,"Foundations and Trends R(cid:1) in
+Robotics
+Vol. 1, No. 1 (2010) 1–78
+(cid:1) 2009 D. Kragic and M. Vincze
+DOI: 10.1561/2300000001
+Vision for Robotics
+By Danica Kragic and Markus Vincze
+Contents
+Introduction
+.1 Scope and Outline
+Historical Perspective
+.1 Early Start and Industrial Applications
+.2 Biological Influences and Affordances
+.3 Vision Systems
+What Works
+.1 Object Tracking and Pose Estimation
+.2 Visual Servoing–Arms and Platforms
+.3 Reconstruction, Localization, Navigation, and
+Visual SLAM
+.4 Object Recognition"

+4679f4a7da1cf45323c1c458b30d95dbed9c8896,Recognizing Facial Expressions Using Model-Based Image Interpretation,"We are IntechOpen,
+the world’s leading publisher of
+Open Access books
+Built by scientists, for scientists
+,800
+16,000
+Open access books available
+International  authors and editors
+Downloads
+Our authors are among the
+Countries delivered to
+TOP 1%
+2.2%
+most cited scientists
+Contributors from top 500 universities
+Selection of our books indexed in the Book Citation Index
+in Web of Science™ Core Collection (BKCI)
+Interested in publishing with us?
+Contact
+Numbers displayed above are based on latest data collected."

+4682fee7dc045aea7177d7f3bfe344aabf153bd5,Tabula rasa: Model transfer for object category detection,"Tabula Rasa: Model Transfer for
+Object Category Detection
+Yusuf Aytar & Andrew Zisserman,
+Department of Engineering Science
+Oxford
+(Presented by Elad Liebman)"

+460845e06ca99f292fa2265beb4e535d20ba16f8,Object Detection for Comics using Manga109 Annotations,"Object Detection for Comics using Manga109
+Annotations
+Toru Ogawa · Atsushi Otsubo · Rei
+Narita · Yusuke Matsui · Toshihiko
+Yamasaki · Kiyoharu Aizawa"

+46106d9f9d9b90401b7984794536e2f45fff1dbe,Learning Distance Functions for Automatic Annotation of Images,"Learning Distance Functions for
+Automatic Annotation of Images
+Josip Krapac and Fr´ed´eric Jurie
+INRIA Rhˆone-Alpes, 655, Avenue de l’Europe, 38334 Saint Ismier Cedex, France"

+463a1ca5f819af35e71ae47ea0e57293691507d3,Soft Biometrics Classification Using Denoising Convolutional Autoencoders and Support Vector Machines,"Soft Biometrics Classification Using Denoising
+Convolutional Autoencoders and Support Vector
+Machines
+Nelson Marcelo Romero Aquino1, Matheus Gutoski2
+Leandro Takeshi Hattori3 and Heitor Silv´erio Lopes4
+Federal University of Technology - Paran´a
+Av. Sete de Setembro, 3165 - Rebou¸cas CEP 80230-901"

+4634bf44a0c994e2bed89686225f8cef601a0224,NLM at ImageCLEF 2018 Visual Question Answering in the Medical Domain,"NLM at ImageCLEF 2018 Visual Question
+Answering in the Medical Domain
+Asma Ben Abacha, Soumya Gayen, Jason J Lau, Sivaramakrishnan
+Rajaraman, and Dina Demner-Fushman
+Lister Hill National Center for Biomedical Communications,
+National Library of Medicine, Bethesda, MD, USA."

+469d249a40639d4ffb62abfb2c25f5aab0812fa4,Image Inspired Poetry Generation in XiaoIce,"Image Inspired Poetry Generation in XiaoIce∗
+Wen-Feng Cheng1,2, Chao-Chung Wu2, Ruihua Song1, Jianlong Fu1, Xing Xie1, Jian-Yun Nie3
+{wencheng, rsong, jianf,
+Microsoft, 2National Taiwan University, 3University of Montreal"

+466212a84d5b60f4517e8ab3e4473c3c9e081897,Thermal-Visible Registration of Human Silhouettes: a Similarity Measure Performance Evaluation,"Thermal-Visible Registration of Human Silhouettes: a
+Similarity Measure Performance Evaluation
+Guillaume-Alexandre Bilodeaua,∗, Atousa Torabib, Pierre-Luc St-Charlesa,
+Dorra Riahia
+LITIV Lab., Department of Computer and Software Engineering,
+´EcolePolytechnique de Montr´eal,
+P.O. Box 6079, Station Centre-ville, Montr´eal
+Qu´ebec, Canada, H3C 3A7
+LISA, Dept. IRO,
+Universit´e de Montr´eal,
+Montr´eal, Qu´ebec, Canada, H2C 3J7"

+2c9179fec33f69a5c1a453034dc7d3d3302839d3,Exploiting Hierarchical Dense Structures on Hypergraphs for Multi-Object Tracking,"Exploiting Hierarchical Dense Structures
+on Hypergraphs for Multi-Object Tracking
+Longyin Wen, Zhen Lei, Siwei Lyu, Stan Z. Li, Fellow, IEEE, and Ming-Hsuan Yang"

+2cdc1b728c90d4da31f924879a39d00008d52daa,A Side of Data with My Robot: Three Datasets for Mobile Manipulation in Human Environments,"A Side of Data with My Robot: Three Datasets for Mobile Manipulation in Human Environments
+Matei Ciocarlie, Member, IEEE, Caroline Pantofaru, Member, IEEE, Kaijen Hsiao, Member, IEEE,
+Gary Bradski, Member, IEEE, Peter Brook, and Ethan Dreyfuss"

+2ce2560cf59db59ce313bbeb004e8ce55c5ce928,Anthropometric 3D Face Recognition,"Int J Comput Vis
+DOI 10.1007/s11263-010-0360-8
+Anthropometric 3D Face Recognition
+Shalini Gupta · Mia K. Markey · Alan C. Bovik
+Received: 3 July 2009 / Accepted: 20 May 2010
+© Springer Science+Business Media, LLC 2010"

+2cc0e431d7cc0bcb926b9a19e7be8a3592d670d4,NovaMedSearch: a multimodal search engine for medical case-based retrieval,"NovaMedSearch: A multimodal search engine for medical
+ase-based retrieval
+André Mourão
+Flávio Martins
+Faculdade de Ciências e Tecnologia
+Universidade Nova de Lisboa
+Departamento de Informática
+Caparica, Portugal"

+2c8743089d9c7df04883405a31b5fbe494f175b4,Real-time full-body human gender recognition in (RGB)-D data,"Washington State Convention Center
+Seattle, Washington, May 26-30, 2015
+978-1-4799-6922-7/15/$31.00 ©2015 IEEE"

+2c5ff99e7e9769677df3eeab9f198e3ead016c35,Registration of 3D facial surfaces using covariance matrix pyramids,"Anchorage Convention District
+May 3-8, 2010, Anchorage, Alaska, USA
+978-1-4244-5040-4/10/$26.00 ©2010 IEEE"

+2c93c8da5dfe5c50119949881f90ac5a0a4f39fe,Advanced local motion patterns for macro and micro facial expression recognition,"Advanced local motion patterns for macro and micro facial
+expression recognition
+B. Allaerta,∗, IM. Bilascoa, C. Djerabaa
+Univ. Lille, CNRS, Centrale Lille, UMR 9189 - CRIStAL -
+Centre de Recherche en Informatique Signal et Automatique de Lille, F-59000 Lille, France"

+2c34bf897bad780e124d5539099405c28f3279ac,Robust Face Recognition via Block Sparse Bayesian Learning,"Robust Face Recognition via Block Sparse Bayesian Learning
+Taiyong Li1,2, Zhilin Zhang3,4,∗
+School of Financial Information Engineering, Southwestern University of Finance and Economics, Chengdu 610074,
+China
+Institute of Chinese Payment System, Southwestern University of Finance and Economics, Chengdu 610074, China
+Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA 92093-0407,
+Samsung R&D Institute America - Dallas, 1301 East Lookout Drive, Richardson, TX 75082, USA"

+2cc4ae2e864321cdab13c90144d4810464b24275,Face Recognition Using Optimized 3D Information from Stereo Images,"Face Recognition Using Optimized 3D
+Information from Stereo Images
+Changhan Park1 and Joonki Paik2
+Advanced Technology R&D Center, Samsung Thales Co., Ltd., 2Graduate School of
+Advanced Imaging Science, Multimedia, and Film Chung-Ang University, Seoul
+Korea
+. Introduction
+Human  biometric  characteristics  are  unique,  so  it  can  not  be  easily  duplicated  [1].  Such
+information
+includes;  facial,  hands,  torso,  fingerprints,  etc.  Potential  applications,
+economical  efficiency,  and  user  convenience  make  the  face  detection  and  recognition
+technique an important commodity compared to other biometric features [2], [3]. It can also
+use a low-cost personal computer (PC) camera instead of expensive equipments, and require
+minimal user interface. Recently, extensive research using 3D face data has been carried out
+in  order  to  overcome  the  limits  of  2D  face  detection  and  feature  extraction  [2],  which
+includes  PCA  [3],  neural  networks  (NN)  [4],  support  vector  machines  (SVM)  [5],  hidden
+markov models (HMM) [6], and linear discriminant analysis (LDA) [7]. Among them, PCA
+nd  LDA  methods  with  self-learning  method  are  most  widely  used  [3].  The  frontal  face
+image  database  provides  fairly  high  recognition  rate.  However,  if  the  view  data  of  facial
+rotation,  illumination  and  pose  change  is  not  acquired,  the  correct  recognition  rate"

+2cac8ab4088e2bdd32dcb276b86459427355085c,A Face-to-Face Neural Conversation Model,"A Face-to-Face Neural Conversation Model
+Hang Chu1
+Daiqing Li1 Sanja Fidler1
+University of Toronto 2Vector Institute
+{chuhang1122, daiqing,"

+2c2786ea6386f2d611fc9dbf209362699b104f83,1)local Feature Representations for Facial Expression Recognition Based on Differences of Gray Color Values of Neighboring Pixels,1)LOCAL FEATURE REPRESENTATIONS FOR FACIAL EXPRESSION RECOGNITION BASED ON DIFFERENCES OF GRAY COLOR VALUES OF NEIGHBORING PIXELS        Mohammad Shahidul Islam          A Dissertation Submitted in Partial  Fulfillment of the Requirement for the Degree of  Doctor of Philosophy (Computer Science and Information Systems) School of Applied Statistics National Institute of Development Administration 2013

+2c92839418a64728438c351a42f6dc5ad0c6e686,Pose-Aware Face Recognition in the Wild,"Pose-Aware Face Recognition in the Wild
+Iacopo Masi1
+Prem Natarajan2
+USC Institute for Robotics and Intelligent Systems (IRIS), Los Angeles, CA
+G´erard Medioni1
+Stephen Rawls2
+USC Information Sciences Institute (ISI), Marina Del Rey, CA"

+2c848cc514293414d916c0e5931baf1e8583eabc,An automatic facial expression recognition system evaluated by different classifiers,"An automatic facial expression recognition system
+evaluated by different classifiers
+Caroline Silva∗, Andrews Sobral∗ and Raissa Tavares Vieira†
+Programa de P´os-Graduac¸˜ao em Mecatrˆonica
+Universidade Federal da Bahia,
+Email:
+Email:
+Department of Electrical Engineering - EESC/USP
+Email:"

+2cd03c6e78d09bb98872bb34bb70e08c32dc5f7e,Pedestrian Alignment Network for Large-scale Person Re-identification,"Noname manuscript No.
+(will be inserted by the editor)
+Pedestrian Alignment Network for
+Large-scale Person Re-identification
+Zhedong Zheng · Liang Zheng · Yi Yang
+Received: date / Accepted: date"

+2c883977e4292806739041cf8409b2f6df171aee,Are Haar-Like Rectangular Features for Biometric Recognition Reducible?,"Aalborg Universitet
+Are Haar-like Rectangular Features for Biometric Recognition Reducible?
+Nasrollahi, Kamal; Moeslund, Thomas B.
+Published in:
+Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
+DOI (link to publication from Publisher):
+0.1007/978-3-642-41827-3_42
+Publication date:
+Document Version
+Early version, also known as pre-print
+Link to publication from Aalborg University
+Citation for published version (APA):
+Nasrollahi, K., & Moeslund, T. B. (2013). Are Haar-like Rectangular Features for Biometric Recognition
+Reducible? In J. Ruiz-Shulcloper, & G. Sanniti di Baja (Eds.), Progress in Pattern Recognition, Image Analysis,
+Computer Vision, and Applications (Vol. 8259, pp. 334-341). Springer Berlin Heidelberg: Springer Publishing
+Company.  Lecture Notes in Computer Science, DOI: 10.1007/978-3-642-41827-3_42
+General rights
+Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners
+nd it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.
+? Users may download and print one copy of any publication from the public portal for the purpose of private study or research."

+2cdd9e445e7259117b995516025fcfc02fa7eebb,Temporal Exemplar-Based Bayesian Networks for Facial Expression Recognition,"Title
+Temporal Exemplar-based Bayesian Networks for facial
+expression recognition
+Author(s)
+Shang, L; Chan, KP
+Citation
+Proceedings - 7Th International Conference On Machine
+Learning And Applications, Icmla 2008, 2008, p. 16-22
+Issued Date
+http://hdl.handle.net/10722/61208
+Rights
+This work is licensed under a Creative Commons Attribution-
+NonCommercial-NoDerivatives 4.0 International License.;
+International Conference on Machine Learning and Applications
+Proceedings. Copyright © IEEE.; ©2008 IEEE. Personal use of
+this material is permitted. However, permission to
+reprint/republish this material for advertising or promotional
+purposes or for creating new collective works for resale or
+redistribution to servers or lists, or to reuse any copyrighted
+omponent of this work in other works must be obtained from"

+2c98165dd72bac574ed463b00f1dd4c276808cb4,Efficient Object Pixel-Level Categorization Using Bag of Features,"Ef‌f‌icient Object Pixel-Level Categorization using
+Bag of Features
+David Aldavert1, Arnau Ramisa2, Ricardo Toledo1, and Ramon Lopez de
+Mantaras2
+Computer Vision Center (CVC)
+Dept. Ci`encies de la Computaci´o
+Universitat Aut`onoma de Barcelona (UAB), 08193, Bellaterra, Spain
+Artificial Intelligence Research Institute (IIIA-CSIC)
+Campus de la UAB, 08193, Bellaterra, Spain"

+2c07d9a383e0bb7e1c8ba07084ba8bcf71af2aad,Robust Ear Recognition via Nonnegative Sparse Representation of Gabor Orientation Information,"Hindawi Publishing Corporation
+e Scientific World Journal
+Volume 2014, Article ID 131605, 11 pages
+http://dx.doi.org/10.1155/2014/131605
+Research Article
+Robust Ear Recognition via Nonnegative Sparse Representation
+of Gabor Orientation Information
+Baoqing Zhang, Zhichun Mu, Hui Zeng, and Shuang Luo
+School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China
+Correspondence should be addressed to Zhichun Mu; muzc
+Received 21 December 2013; Accepted 18 January 2014; Published 24 February 2014
+Academic Editors: S. Kobashi and A. Materka
+Copyright © 2014 Baoqing Zhang et al. This is an open access article distributed under the Creative Commons Attribution License,
+which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
+Orientation information is critical to the accuracy of ear recognition systems. In this paper, a new feature extraction approach is
+investigated for ear recognition by using orientation information of Gabor wavelets. The proposed Gabor orientation feature can
+not only avoid too much redundancy in conventional Gabor feature but also tend to extract more precise orientation information of
+the ear shape contours. Then, Gabor orientation feature based nonnegative sparse representation classification (Gabor orientation
++ NSRC) is proposed for ear recognition. Compared with SRC in which the sparse coding coefficients can be negative, the
+nonnegativity of NSRC conforms to the intuitive notion of combining parts to form a whole and therefore is more consistent"

+2c5d1e0719f3ad7f66e1763685ae536806f0c23b,AENet: Learning Deep Audio Features for Video Analysis,"AENet: Learning Deep Audio Features for Video
+Analysis
+Naoya Takahashi, Member, IEEE, Michael Gygli, Member, IEEE, and Luc Van Gool, Member, IEEE"

+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"

+2c564f5241b0905baafc3677e7ca15c27fd2c6e7,An Integrated Approach to Contextual Face Detection,"AN INTEGRATED APPROACH TO CONTEXTUAL FACE
+DETECTION.
+Santi Segu´ı1, Michal Drozdzal1,2, Petia Radeva1,2 and Jordi Vitri`a1,2
+Computer Vision Center, Universitat Aut`onoma de Barcelona, Bellaterra, Spain
+Dept. Matem`atica Aplicada i An`alisi, Universitat de Barcelona, Barcelona, Spain
+{ssegui, michal, petia,
+Keywords:
+face detection, object detection."

+2c7932c2096669113328a75d1ad1d1bfb8f86ad0,Multi30K: Multilingual English-German Image Descriptions,"Proceedings of the 5th Workshop on Vision and Language, pages 70–74,
+Berlin, Germany, August 12 2016. c(cid:13)2016 Association for Computational Linguistics"

+2c786b32a621a52fc7d00499e4b056f149a4fba7,Face Recognition with Decision Tree-Based Local Binary Patterns,"Face Recognition with Decision Tree-based Local
+Binary Patterns
+Daniel Maturana, Domingo Mery and ´Alvaro Soto
+Department of Computer Science, Pontificia Universidad Cat´olica de Chile"

+2cf7383e238fe37516e2607c4741f79a230834bf,A new Sparse Coding Approach for Human Face and Action Recognition,"A new Sparse Coding Approach for Human Face and Action
+Recognition
+Mohsen Nikpour*
+Department of Electrical and Computer Engineering, Babol Noushirvani University of Technology, Babol, Iran
+Mohammad Reza Karami Molaei
+Department of Electrical and Computer Engineering, Babol Noushirvani University of Technology, Babol, Iran
+Reza Ghaderi
+Department of nuclear Engineering, Shahid Beheshti University of Tehran, Tehran, Iran
+Received: 27/Jul/2016            Revised: 07/Jan/2017            Accepted: 14/Jan/2017"

+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."

+2c5b5a5e4b8cd001e535118c2fa90bff95d51648,Combining Facial Dynamics With Appearance for Age Estimation,"Combining Facial Dynamics With Appearance
+for Age Estimation
+Hamdi Dibeklio˘glu, Member, IEEE, Fares Alnajar, Student Member, IEEE,
+Albert Ali Salah, Member, IEEE, and Theo Gevers, Member, IEEE"

+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
+Peng Wang, Lingqiao Liu, Chunhua Shen, and Heng Tao Shen"

+2cc8371c483f76fff65a5fb1c9cc89e974ce83ea,Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural Networks,"Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural
+Networks
+Michael Gygli
+gifs.com
+Zurich, Switzerland"

+2cad358676854505517307314728e8920fe53d77,Mixture of Ridge Regressors for Human Pose Estimation,"#1754
+CVPR 2012 Submission #1754. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
+#1754
+Mixture of Ridge Regressors
+for Human Pose Estimation
+Anonymous CVPR submission
+Paper ID 1754"

+2cf5f2091f9c2d9ab97086756c47cd11522a6ef3,MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation,"MPIIGaze: Real-World Dataset and Deep
+Appearance-Based Gaze Estimation
+Xucong Zhang, Yusuke Sugano∗, Mario Fritz, Andreas Bulling"

+2c72096bbecd70000f919b1cec3f31a649c94fd5,Neural Network Interpretation via Fine Grained Textual Summarization,"Neural Network Interpretation via Fine-Grained Textual Summarization
+Pei Guo, Connor Anderson, Kolton Pearson, Ryan Farrell
+Brigham Young University"

+2c2bf22e2f0a1817475aefb37e0c4e0404e8d479,Structured Prediction of 3D Human Pose with Deep Neural Networks,"TEKIN ET AL.: STRUCTURED PREDICTION OF 3D HUMAN POSE
+Structured Prediction of 3D Human Pose
+with Deep Neural Networks
+Bugra Tekin∗1
+Isinsu Katircioglu∗1
+Mathieu Salzmann1
+Vincent Lepetit2
+Pascal Fua1
+CVLab
+EPFL,
+Lausanne, Switzerland
+CVARLab
+TU Graz,
+Graz, Austria"

+2c4b96f6c1a520e75eb37c6ee8b844332bc0435c,Automatic Emotion Recognition in Robot-Children Interaction for ASD Treatment,"Automatic Emotion Recognition in Robot-Children Interaction for ASD
+Treatment
+Marco Leo, Marco Del Coco, Pierluigi Carcagn`ı, Cosimo Distante
+ISASI UOS Lecce
+Campus Universitario via Monteroni sn, 73100 Lecce Italy
+Massimo Bernava, Giovanni Pioggia
+ISASI UOS Messina
+Giuseppe Palestra
+Univerisita’ di Bari
+Marine Institute, via Torre Bianca, 98164 Messina Italy
+Via Orabona 4, 70126 Bari, Italy"

+2cc17e1ccb5f1f67f8ce882e683d8c66475330be,Multitarget tracking with the von Mises-Fisher filter and probabilistic data association,"JOURNAL OF ADVANCES IN INFORMATION FUSION
+Multitarget tracking with the von Mises-Fisher filter
+nd probabilistic data association
+Ivan Markovi´c, Mario Bukal, Josip ´Cesi´c and Ivan Petrovi´c"

+2c0a71b5e111d2c7d99c3f23989d317a0d845adc,N-best maximal decoders for part models,"N-best maximal decoders for part models
+Dennis Park Deva Ramanan
+UC Irvine"

+795cea6b95af22238600aa129b1975e83c531858,Sentence Directed Video Object Codetection,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
+Sentence Directed Video Object Codetection
+Haonan Yu, Student Member, IEEE and Jeffrey Mark Siskind, Senior Member, IEEE"

+7950d67f7104e9bd82d957f0ed80f11982802397,Coupled Action Recognition and Pose Estimation from Multiple Views,"Noname manuscript No.
+(will be inserted by the editor)
+Coupled Action Recognition and Pose Estimation from
+Multiple Views
+Angela Yao (cid:1) Juergen Gall (cid:1) Luc Van Gool
+Received: date / Accepted: date"

+79d3e7321e50be745bef92ba1405b486bd1f133d,Emotion Recognition in Simulated Social Interactions,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TAFFC.2018.2799593, IEEE
+> TAFFC-2017-04-0117.R1 <
+Transactions on Affective Computing
+Emotion Recognition in Simulated Social
+Interactions
+C. Mumenthaler, D. Sander, and A. S. R. Manstead"

+790aa543151312aef3f7102d64ea699a1d15cb29,Confidence-Weighted Local Expression Predictions for Occlusion Handling in Expression Recognition and Action Unit Detection,"Confidence-Weighted Local Expression Predictions for
+Occlusion Handling in Expression Recognition and Action
+Unit detection
+Arnaud Dapogny1
+Kevin Bailly1
+Séverine Dubuisson1
+Sorbonne Universités, UPMC Univ Paris 06, CNRS, ISIR UMR 7222
+place Jussieu 75005 Paris"

+791eb376d4db96376eba3ef804657c5f0ba7229a,SAFE: Secure authentication with Face and Eyes,"SAFE: Secure Authentication with Face and Eyes
+Arman Boehm(cid:91), Dongqu Chen§, Mario Frank(cid:91), Ling Huang†,
+Cynthia Kuo(cid:93), Tihomir Lolic(cid:91), Ivan Martinovic(cid:63), Dawn Song(cid:91)
+(cid:91) University of California, Berkeley; † Intel Labs; (cid:93) Nokia Research; (cid:63) Oxford University; § Yale University"

+796d5d1f6052cd600e183471a2354751883d8d5d,Feature Extraction Techniques Implementation Review and Case Study,"ISSN: 2278 – 909X
+International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE)
+Volume 4, Issue 12, December 2015
+Feature Extraction Techniques
+Implementation Review and Case Study
+Uma Bhati
+Department of Computer Science & Engineering
+JSS Academy of Technical Education
+Noida-201301
+Krishna Nand Chaturvedi
+Department of Computer Science & Engineering
+JSS Academy of Technical Education
+Noida-201301
+utilizing
+recognition"

+7954a1bd6e693da8f2ae69ad01233e937d600e9b,The Lov\'asz-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks,"Accepted as a conference paper at CVPR 2018
+The Lov´asz-Softmax loss: A tractable surrogate for the optimization of the
+intersection-over-union measure in neural networks
+Maxim Berman Amal Rannen Triki Matthew B. Blaschko
+Dept. ESAT, Center for Processing Speech and Images
+KU Leuven, Belgium"

+792e656d2297d3b00da73c7a606eb6f539311c25,Force from Motion: Decoding Control Force of Activity in a First Person Video,"Force from Motion: Decoding Control Force of
+Activity in a First Person Video
+Hyun Soo Park and Jianbo Shi"

+79f6a8f777a11fd626185ab549079236629431ac,Pradeep RavikumarDiscriminative Object Categorization with External Semantic Knowledge,"Copyright
+Sung Ju Hwang"

+7910d3a86e03f4c41fbbe8029fab115547be151b,Taming Adversarial Domain Transfer with Structural Constraints for Image Enhancement,"Taming Adversarial Domain Transfer
+with Structural Constraints for Image Enhancement
+Elias Vansteenkiste and Patrick Kern
+Brighter.AI
+Torstrasse 177, Berlin
+{elias,
+Figure 1: Our domain transfer techniques applied to the night-to-day, removing rain and removing fog applications"

+79fc892abaf44a84a758268efd4d1b9e6b64ecf5,Leveraging Random Label Memorization for Unsupervised Pre-Training,"Leveraging Random Label Memorization for Unsupervised Pre-Training
+Vinaychandran Pondenkandath * 1 Michele Alberti * 1 Sammer Puran 1 Rolf Ingold 1 Marcus Liwicki 1 2"

+79e39f3d0577b9c5a47b93eb6d75bec04d14c07a,Person tracking and following with 2D laser scanners,"Person Tracking and Following with 2D Laser Scanners
+Angus Leigh1, Joelle Pineau1, Nicolas Olmedo2, and Hong Zhang2"

+794cf037dac115755cd15295d8c5fc1c00242548,The City Infant Faces Database: A validated set of infant facial expressions,"Behav Res (2018) 50:151–159
+DOI 10.3758/s13428-017-0859-9
+The City Infant Faces Database: A validated set of infant
+facial expressions
+Rebecca Webb 1 & Susan Ayers 1 & Ansgar Endress 2
+Published online: 15 February 2017
+# The Author(s) 2017. This article is published with open access at Springerlink.com"

+79b50cd468fcdba8f3c841c9d28d84ff66fd97fd,What do Deep Networks Like to See?,"What do Deep Networks Like to See?
+Sebastian Palacio∗
+Federico Raue Damian Borth Andreas Dengel
+Joachim Folz∗
+German Research Center for Artificial Intelligence (DFKI)
+J¨orn Hees
+TU Kaiserslautern"

+79bd7fd2b40aadea84bced07f813ffc28c88bc85,Low Rank Matrix Recovery with Simultaneous Presence of Outliers and Sparse Corruption,"Low Rank Matrix Recovery with Simultaneous
+Mostafa Rahmani, Student Member, IEEE and George K. Atia, Member, IEEE"

+79c959833ff49f860e20b6654dbf4d6acdee0230,Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond,"Hide-and-Seek: A Data Augmentation Technique
+for Weakly-Supervised Localization and Beyond
+Krishna Kumar Singh, Hao Yu, Aron Sarmasi, Gautam Pradeep, and Yong Jae Lee, Member, IEEE"

+79b669abf65c2ca323098cf3f19fa7bdd837ff31,Efficient tensor based face recognition,"Deakin Research Online
+This is the published version:
+Rana, Santu, Liu, Wanquan, Lazarescu, Mihai and Venkatesh, Svetha 2008, Efficient tensor
+ased face recognition, in ICPR 2008 : Proceedings of the 19th International Conference on
+Pattern Recognition, IEEE, Washington, D. C., pp. 1-4.
+Available from Deakin Research Online:
+http://hdl.handle.net/10536/DRO/DU:30044585
+Reproduced with the kind permissions of the copyright owner.
+Personal use of this material is permitted. However, permission to reprint/republish this
+material for advertising or promotional purposes or for creating new collective works for
+resale or redistribution to servers or lists, or to reuse any copyrighted component of this work
+in other works must be obtained from the IEEE.
+Copyright : 2008, IEEE"

+790bce6cbe30ef9bc4431c988d0d747da1c6bb1d,Salient Object Detection Using Window Mask Transferring with Multi-layer Background Contrast,"Salient Object Detection using Window Mask
+Transferring with Multi-layer Background
+Contrast
+Quan Zhou1, Shu Cai1, Shaojun Zhu2, and Baoyu Zheng1
+College of Telecom & Inf Eng, Nanjing Univ of Posts & Telecom, P.R. China
+Dept. of Comput & Inf Sci, University of Pennsylvania Philadelphia, PA, USA"

+79f02a006c77f2d7fece8302bf54d851269a515a,A Study of Deep CNN-Based Classification of Open and Closed Eyes Using a Visible Light Camera Sensor,"Article
+A Study of Deep CNN-Based Classification of Open
+nd Closed Eyes Using a Visible Light Camera Sensor
+Ki Wan Kim, Hyung Gil Hong, Gi Pyo Nam and Kang Ryoung Park *
+Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu,
+Seoul 100-715, Korea; (K.W.K.); (H.G.H.); (G.P.N.)
+* Correspondence: Tel.: +82-10-3111-7022; Fax: +82-2-2277-8735
+Received: 2 June 2017; Accepted: 28 June 2017; Published: 30 June 2017"

+79fc3c10ce0d0f48b25c8cf460048087c97e2e90,Variational Bi-domain Triplet Autoencoder,"Variational learning across domains with triplet
+information
+Rita Kuznetsova1,2, Oleg Bakhteev1,2 and Alexandr Ogaltsov2,3
+Moscow Institute of Physics and Technology
+National Research University Higher School of Economics
+{rita.kuznetsova,
+Antiplagiat Company"

+79dd787b2877cf9ce08762d702589543bda373be,Face detection using SURF cascade,"Face Detection Using SURF Cascade
+Jianguo Li, Tao Wang, Yimin Zhang
+Intel Labs China"

+7917a7549f00306db8775d2d559460fc93dbde5a,DaP 2018 Proceedings of the Workshop on Dialogue and Perception,"DaP 2018
+Proceedings of the Workshop on
+Dialogue and Perception
+Christine Howes, Simon Dobnik and Ellen Breitholtz (eds.)
+Gothenburg, 14–15 June 2018"

+7985ac55e170273dd0ffa6bd756e588bab301d57,Mind's eye: A recurrent visual representation for image caption generation,"Mind’s Eye: A Recurrent Visual Representation for Image Caption Generation
+Xinlei Chen1, C. Lawrence Zitnick2
+Carnegie Mellon University. 2Microsoft Research Redmond.
+A good image description is often said to “paint a picture in your mind’s
+eye.” The creation of a mental image may play a significant role in sentence
+omprehension in humans [3]. In fact, it is often this mental image that is
+remembered long after the exact sentence is forgotten [5, 7]. As an illus-
+trative example, Figure 1 shows how a mental image may vary and increase
+in richness as a description is read. Could computer vision algorithms that
+omprehend and generate image captions take advantage of similar evolving
+visual representations?
+Recently, several papers have explored learning joint feature spaces for
+images and their descriptions [2, 4, 9]. These approaches project image
+features and sentence features into a common space, which may be used
+for image search or for ranking image captions. Various approaches were
+used to learn the projection, including Kernel Canonical Correlation Anal-
+ysis (KCCA) [2], recursive neural networks [9], or deep neural networks
+[4]. While these approaches project both semantics and visual features to
+common embedding, they are not able to perform the inverse projection.
+That is, they cannot generate novel sentences or visual depictions from the"

+79d13b74952449667c769be76dac9065db1acc22,"Fine-grained Recognition: Data, Recognition, and Application 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","FINE-GRAINED RECOGNITION:
+DATA, RECOGNITION, AND APPLICATION
+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
+Jonathan Krause
+October 2016"

+796e333796024acf662fe76c4761607eaaa98a5d,Nested multi-instance image classification,"Nested multi-instance image classification
+Anonymous Authors"

+794fd0fb684f90704e108677edb40d3ff6a85f8c,"EyeLad: Remote Eye Tracking Image Labeling Tool - Supportive Eye, Eyelid and Pupil Labeling Tool for Remote Eye Tracking Videos","EyeLad:Remote Eye Tracking Image Labeling Tool
+Supportive eye, eyelid and pupil labeling tool for remote eye tracking videos.
+Wolfgang Fuhl1, Thiago Santini1, David Geisler1, Thomas K¨ubler1, and Enkelejda Kasneci1
+{wolfgang.fuhl, thiago.santini, david.geisler, thomas.kuebler,
+Perception Engineering, University of Tbingen, Tbingen, Germany
+Keywords:
+data labeling, image processing, feature tracking, object detection, eye tracking data, remote eye tracking"

+793e896c2f66fb66bfc6c834f2678cf349af4e20,Incorporating Computation Time Measures During Heterogeneous Features Selection in a Boosted Cascade People Detector,"Incorporating Computation Time Measures during
+Heterogeneous Features Selection in a Boosted Cascade
+People Detector
+Alhayat Ali Mekonnen, Frédéric Lerasle, Ariane Herbulot, Cyril Briand
+To cite this version:
+Alhayat Ali Mekonnen, Frédéric Lerasle, Ariane Herbulot, Cyril Briand. Incorporating Computation
+Time Measures during Heterogeneous Features Selection in a Boosted Cascade People Detector. Inter-
+national Journal of Pattern Recognition and Artificial Intelligence, World Scientific Publishing, 2016,
+0 (8), pp.1655022. <10.1142/S0218001416550223>. <hal-01300472>
+HAL Id: hal-01300472
+https://hal.archives-ouvertes.fr/hal-01300472
+Submitted on 11 Apr 2016
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents"

+7960336aed2aa701c147ccfe36d153046f1500bc,Occlusion Reasoning for Multiple Object Visual Tracking,"OCCLUSION REASONING
+FOR MULTIPLE OBJECT VISUAL TRACKING
+ZHENG WU
+Dissertation submitted in partial fulfillment
+of the requirements for the degree of
+Doctor of Philosophy
+BOSTON
+UNIVERSITY"

+79f12f28b060221f3b80ea1b7b16779ef9362ca8,Investigations of face expertise in the social developmental disorders.,"Jason J.S. Barton,
+MD, PhD, FRCPC
+Rebecca L. Hefter, BSc
+Mariya V.
+Cherkasova, BSc
+Dara S. Manoach,
+Address correspondence and
+reprint requests to Dr. Jason
+J.S. Barton, Neuro-
+ophthalmology Section D, VGH
+Eye Care Center, 2550 Willow
+Street, Vancouver, BC Canada
+V5Z 3N9
+Investigations of face expertise in the
+social developmental disorders"

+79e7f1e13e8aafee6558729804cf1284134815b3,Deep Representation Learning for Domain Adaptation of Semantic Image Segmentation,"BENBIHI, GEIST, PRADALIER: DEEP REPRESENTATION LEARNING
+Deep Representation Learning for Domain
+Adaptation of Semantic Image Segmentation
+Assia Benbihi1
+Matthieu Geist2
+Cedric Pradalier1
+UMI 2958 GT-CNRS – GeorgiaTech
+Lorraine
+Metz, France
+Université de Lorraine
+CNRS LIEC UNR 7360,
+Metz, France"

+79335495e54446541a3655d145911beba7c29d7d,The face inversion effect in opponent-stimulus rivalry,"ORIGINAL RESEARCH ARTICLE
+published: 15 May 2014
+doi: 10.3389/fnhum.2014.00295
+The face inversion effect in opponent-stimulus rivalry
+Malte Persike*, Bozana Meinhardt-Injac and Günter Meinhardt
+Research Methods and Statistics, Department of Psychology, Institute of Psychology, Johannes Gutenberg University Mainz, Mainz, Germany
+Edited by:
+Davide Rivolta, University of East
+London, UK
+Reviewed by:
+Guillaume A. Rousselet, University
+of Glasgow, UK
+Timo Stein, Charité
+Universitätsmedizin Berlin, Germany
+*Correspondence:
+Malte Persike, Research Methods
+nd Statistics, Department of
+Psychology, Institute of Psychology,
+Johannes Gutenberg University
+Mainz, Mainz, Rheinland-Pfalz,"

+7918698ffa86cdd6123bc2f1f613be1ab38c0d2f,Learning to Recognize Faces in Realistic Conditions,"Learning to Recognize Faces in Realistic Conditions
+Anonymous Author(s)
+Affiliation
+Address
+email"

+79ade61f677dcadfc2b46444d2e0275d25ca1f06,Nonnegative Tucker decomposition with alpha-divergence,"NONNEGATIVE TUCKER DECOMPOSITION WITH ALPHA-DIVERGENCE
+Yong-Deok Kim §, Andrzej Cichocki †, Seungjin Choi §
+§ Department of Computer Science, POSTECH, Korea
+Brain Science Institute, RIKEN, Japan"

+795bd86fc22ec544e7cd9b3d3c2ccabe72de54ec,Max Margin AND / OR Graph Learning for Efficient Articulated Object,"Noname manuscript No.
+(will be inserted by the editor)
+Max Margin AND/OR Graph Learning for Efficient Articulated Object
+Parsing
+Long (Leo) Zhu · Yuanhao Chen · Chenxi Lin · Alan Yuille
+the date of receipt and acceptance should be inserted later"

+79815f31f42708fd59da345f8fa79f635a070730,Autoregressive Quantile Networks for Generative Modeling,"Autoregressive Quantile Networks for Generative Modeling
+Georg Ostrovski * 1 Will Dabney * 1 R´emi Munos 1"

+2d919473cf43e2522b2366271b778ce6ce7dc75c,Appearance-Based Re-identification of Humans in Low-Resolution Videos Using Means of Covariance Descriptors,"Appearance-based Re-Identification of Humans in Low-Resolution Videos
+using Means of Covariance Descriptors
+Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB
+J¨urgen Metzler
+76131 Karlsruhe, Germany"

+2d8ffa4a27b3e3b792b2d2516bbcb1a47c114846,Multi-view Laplacian Eigenmaps Based on Bag-of-Neighbors For RGBD Human Emotion Recognition,"JOURNAL OF LATEX CLASS FILES
+Multi-view Laplacian Eigenmaps
+Based on Bag-of-Neighbors
+For RGBD Human Emotion Recognition
+Shenglan Liu, Member, IEEE, Shuai Guo, Hong Qiao, Senior Member, IEEE, Yang Wang, Bin Wang,
+Wenbo Luo, Mingming Zhang, Keye Zhang, and Bixuan Du"

+2dfc48168c0de9e6c7135293c95b7d794fcfbbbf,Query-Driven Locally Adaptive Fisher Faces and Expert-Model for Face Recognition,"-4244-1437-7/07/$20.00 ©2007 IEEE
+I - 141
+ICIP 2007"

+2d27e2d8188743c4e3ca30fda5c25e70775f03e8,FollowMe: Person following and gesture recognition with a quadrocopter,"FollowMe: Person Following and
+Gesture Recognition with a Quadrocopter
+Tayyab Naseer*, J¨urgen Sturm†, and Daniel Cremers†
+*Department of Computer Science, University of Freiburg, Germany
+Department of Computer Science, Technical University of Munich, Germany"

+2db0d42192618d0c7419321fac06b887d96dea53,Image Set Classification for Low Resolution Surveillance,"Image Set Classification
+for Low Resolution Surveillance
+Uzair Nadeem, Syed Afaq Ali Shah, Mohammed Bennamoun, Roberto Togneri
+nd Ferdous Sohel"

+2d532fd0636fd49dd893c9dff7fe615f974ec826,Causal Inference in Nonverbal Dyadic Communication with Relevant Interval Selection and Granger Causality,"Causal Inference in Nonverbal Dyadic Communication with Relevant
+Interval Selection and Granger Causality
+Lea M¨uller1, Maha Shadaydeh1∗, Martin Th¨ummel1, Thomas Kessler2, Dana Schneider2 and Joachim
+Denzler1,3
+Computer Vision Group, Friedrich Schiller University of Jena, Ernst-Abbe-Platz 2, 07743 Jena, Germany
+Department of Social Psychology, Friedrich Schiller University of Jena, Humboldtstrasse 26, 07743 Jena, Germany
+Michael Stifel Center, Ernst-Abbe-Platz 2, 07743 Jena, Germany
+Keywords:
+Nonverbal emotional communication, Granger causality, maximally coherent intervals"

+2d54dc50bbc1a0a63b6f1000bc255f88d57a7a63,It's All Fun and Games until Someone Annotates: Video Games with a Purpose for Linguistic Annotation,"Transactions of the Association for Computational Linguistics, 2 (2014) 449–463. Action Editor: Mirella Lapata.
+Submitted 10/2013; Revised 03/2014; Revised 08/2014; Published 10/2014. c(cid:13)2014 Association for Computational Linguistics."

+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"

+2df731a01db3caf45105c40ac266f76fe1871470,Affective issues in adaptive educational environments,"Neapolis University
+HEPHAESTUS Repository
+School of Information Sciences
+http://hephaestus.nup.ac.cy
+Book chapters
+Affective Issues in Adaptive Educational Environments
+Leontidis, Makis
+IGI Global
+http://hdl.handle.net/11728/6301
+Downloaded from HEPHAESTUS Repository, Neapolis University institutional repository"

+2d51b52b3eeae8877d1a76ca564a35b8e5051c9d,AU recognition on 3D faces based on an extended statistical facial feature model,"AU Recognition on 3D Faces Based On An Extended Statistical Facial
+Feature Model
+Xi Zhao, Emmanuel Dellandr´ea, Liming Chen and Dimitris Samaras"

+2da845c75bf9ff02bd27b6e2ceb4732e89b05fad,Linear Support Tensor Machine With LSK Channels: Pedestrian Detection in Thermal Infrared Images,"Linear Support Tensor Machine:
+Pedestrian Detection in Thermal Infrared Images
+Sujoy Kumar Biswas, Student Member, IEEE, Peyman Milanfar, Fellow, IEEE"

+2d690c63b00e68782666ebf86ac0756fad100a18,Multiple-view face hallucination by a novel regression analysis in tensor space,"The International Arab Journal of Information Technology, Vol. 13, No. 6, November 2016
+Multiple-View Face Hallucination by a Novel
+Regression Analysis in Tensor Space
+Faculty of Engineering and Technology, Panyapiwat Institute of Management, Thailand
+Parinya Sanguansat"

+2d6130f043e69849fc0443bb489c5d21f933eddd,Convolutional LSTM Networks for Video-based Person Re-identification,"Noname manuscript No.
+(will be inserted by the editor)
+Deep Recurrent Convolutional Networks for Video-based Person
+Re-identification: An End-to-End Approach
+Lin Wu · Chunhua Shen · Anton van den Hengel"

+2d1f710ba593833cdb0b63880f60146504cf1dc5,Linguistically-driven Framework for Computationally Efficient and Scalable Sign Recognition,"Linguistically-driven Framework for Computationally
+Efficient and Scalable Sign Recognition
+Dimitris Metaxas*, Mark Dilsizian*, Carol Neidle**
+*Rutgers University, **Boston University
+*Rutgers University, CBIM, Department of Computer Science, 617 Bowser Road, Piscataway, NJ  08854
+**Boston University Linguistics, 621 Commonwealth Ave., Boston, MA  02215"

+2dc62458979dfc00ec195258ea8809077c5de442,Robust Painting Recognition and Registration for Mobile Augmented Reality,"JOURNAL OF LATEX CLASS FILES, VOL. 6, NO. 1, JANUARY 2007
+Robust Painting Recognition and Registration
+for Mobile Augmented Reality
+Niki Martinel*, Student Member, IEEE, Christian Micheloni, Member, IEEE,
+nd Gian Luca Foresti, Senior Member, IEEE"

+2d120c8c74bc029a14fb0726ef103c873a5090eb,Real-Time Gender Classification by Face,"(IJACSA) International Journal of Advanced Computer Science and Applications,
+Vol. 7, No. 3, 2016
+Real-Time Gender Classification by Face
+Eman Fares Al Mashagba
+Computer Sciences Department
+Zarqa University
+Zarqa, Jordan"

+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"

+2d0dfa8779aefa1a9a89a1b400188fa9114b4c0a,Functional Map of the World,"Functional Map of the World
+Gordon Christie1
+Neil Fendley1
+The Johns Hopkins University Applied Physics Laboratory
+James Wilson2
+Ryan Mukherjee1
+DigitalGlobe"

+2dbb4b45b6a392268ce45d16fb944a652d434bd2,Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning,"Maximal Cliques that Satisfy Hard Constraints with
+Application to Deformable Object Model Learning
+Xinggang Wang1∗ Xiang Bai1 Xingwei Yang2† Wenyu Liu1 Longin Jan Latecki3
+Dept. of Electronics and Information Engineering, Huazhong Univ. of Science and Technology, China
+Image Analytics Lab, GE Research, One Research Circle, Niskayuna, NY 12309, USA
+Dept. of Computer and Information Sciences, Temple Univ., USA"

+2d3d4883350a48708cdc0c260479110e5eed965a,Leveraging Visual Question Answering for Image-Caption Ranking,"Leveraging Visual Question Answering for
+Image-Caption Ranking
+Xiao Lin Devi Parikh
+Virginia Tech"

+2d12efd5aef4c180ecfaf65184eb7b56e5a40329,3D Object Recognition Based on Image Features: A Survey,"D Object Recognition Based on Image Features: A
+International Journal of Computer and Information Technology (ISSN: 2279 – 0764)
+Volume 03 – Issue 03, May 2014
+Survey
+Dept. of Information Systems, Faculty of Computers and
+Khaled Alhamzi
+Information, Mansoura University
+Mansoura, Egypt
+Kalhamzi {at} yahoo.com
+Mohammed Elmogy
+Dept. of Information Technology, Faculty of Computers and
+Information, Mansoura University
+Mansoura, Egypt
+Dept. of Information Systems, Faculty of Computers and
+Sherif Barakat
+Information, Mansoura University
+Mansoura, Egypt"

+2d1b8f60f2724efd6c9344870fb60e8525157d70,Parallel Multiscale Autoregressive Density Estimation,"Parallel Multiscale Autoregressive Density Estimation
+Scott Reed 1 A¨aron van den Oord 1 Nal Kalchbrenner 1 Sergio G´omez Colmenarejo 1 Ziyu Wang 1
+Yutian Chen 1 Dan Belov 1 Nando de Freitas 1"

+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
+A Monthly Journal of Computer Science and Information Technology
+IJCSMC, Vol. 4, Issue. 8, August 2015, pg.431 – 446
+RESEARCH ARTICLE
+ISSN 2320–088X
+FACIAL EXPRESSION RECOGNITION:
+Machine Learning using C#
+Author: Neda Firoz
+Advisor: Dr. Prashant Ankur Jain"

+2d95cf1df9701de410792997205c71208bde98d9,Visual-Inertial based autonomous navigation of an Unmanned Aerial Vehicle in GPS-Denied environments,"FACULDADE DE ENGENHARIA DA UNIVERSIDADE DO PORTO
+Visual-Inertial based autonomous
+navigation of an Unmanned Aerial
+Vehicle in GPS-Denied environments
+Francisco de Babo Martins
+EEC0035 - PREPARAÇÃO DA DISSERTAÇÃO
+Mestrado Integrado em Engenharia Electrotécnica e de Computadores
+Supervisor: Luís Teixeira
+February 18, 2015"

+2d42b5915ca18fdc5fa3542bad48981c65f0452b,Generalization and Equilibrium in Generative Adversarial Nets (GANs),"Generalization and Equilibrium in Generative Adversarial Nets
+(GANs)
+Sanjeev Arora∗
+Rong Ge †
+Yingyu Liang‡
+Tengyu Ma§
+Yi Zhang¶"

+2d072cd43de8d17ce3198fae4469c498f97c6277,Random Cascaded-Regression Copse for Robust Facial Landmark Detection,"Random Cascaded-Regression Copse for Robust
+Facial Landmark Detection
+Zhen-Hua Feng, Student Member, IEEE, Patrik Huber, Josef Kittler, Life Member, IEEE, William Christmas,
+nd Xiao-Jun Wu"

+2d71e0464a55ef2f424017ce91a6bcc6fd83f6c3,A Survey on:Image Process using Two-Stage Crawler,"International Journal of Computer Applications (0975 – 8887)
+National Conference on Advancements in Computer & Information Technology (NCACIT-2016)
+A Survey on: Image Process using Two- Stage Crawler
+Nilesh Wani
+Assistant Professor
+SPPU, Pune
+Department of Computer Engg
+Department of Computer Engg
+Department of Computer Engg
+Dipak Bodade
+BE Student
+SPPU, Pune
+Savita Gunjal
+BE Student
+SPPU, Pune
+Varsha Mahadik
+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"

+2d8eff4b085b57788e2f4485c81eb80910f94da0,The impact of organizational performance on the emergence of Asian American leaders.,"Journal of Applied Psychology
+The Impact of Organizational Performance on the
+Emergence of Asian American Leaders
+Seval Gündemir, Andrew M. Carton, and Astrid C. Homan
+Online First Publication, September 24, 2018. http://dx.doi.org/10.1037/apl0000347
+CITATION
+Gündemir, S., Carton, A. M., & Homan, A. C. (2018, September 24). The Impact of Organizational
+Performance on the Emergence of Asian American Leaders. Journal of Applied Psychology.
+Advance online publication. http://dx.doi.org/10.1037/apl0000347"

+2df4d05119fe3fbf1f8112b3ad901c33728b498a,Multi-task Learning for Structured Output Prediction,"Facial landmark detection using structured output deep
+neural networks
+Soufiane Belharbi ∗1, Cl´ement Chatelain∗1, Romain H´erault∗1, and S´ebastien
+Adam∗2
+LITIS EA 4108, INSA de Rouen, Saint ´Etienne du Rouvray 76800, France
+LITIS EA 4108, UFR des Sciences, Universit´e de Rouen, France.
+September 24, 2015"

+2d7d8c468bdf123b50ea473fe78a178bfc50724c,Evaluating multi-modal deep learning systems with microworlds,"Research proposal: Evaluating multi-modal deep
+learning systems with micro-worlds
+Alexander Kuhnle
+University of Cambridge (United Kingdom)
+6th November 2016"

+2d9a49666bd72e7ba06579d9411ceb2df5205466,3D Face Mesh Modeling from Range Images for 3D Face Recognition,"-4244-1437-7/07/$20.00 ©2007 IEEE
+IV - 509
+ICIP 2007"

+2d22a60e69ebdb3fde056adcf4f6a08ccdb6106f,Robust Facial Expression Recognition,"IJREAT International Journal of Research in Engineering & Advanced Technology, Volume 2, Issue 2, Apr-May, 2014
+ISSN: 2320 – 8791 (Impact Factor: 1.479)
+www.ijreat.org
+Robust Facial Expression Recognition
+Mr. Mukund Kumar1, Ms. D. Udaya2
+, 2Computer Science and Engineering, Dr. Pauls Engineering College,Villupuram"

+2d6d4899c892346a9bc8902481212d7553f1bda4,Neural Face Editing with Intrinsic Image Disentangling SUPPLEMENTARY MATERIAL,"Neural Face Editing with Intrinsic Image Disentangling
+SUPPLEMENTARY MATERIAL
+Zhixin Shu1 Ersin Yumer2 Sunil Hadap2 Kalyan Sunkavalli2 Eli Shechtman 2 Dimitris Samaras1,3
+Stony Brook University 2Adobe Research 3 CentraleSup´elec, Universit´e Paris-Saclay
+. Implementation: more details
+In this section, we provide more details regarding
+the implementation of the rendering layers fshading and
+fimage-formation as described in the paper.
+.1. Shading Layer
+The shading layer is rendered with a spherical harmonics
+illumination representation [6, 2, 7, 1].
+where
+= c3n2
+z − c5
+= 2c1nxnz
+= c1n2
+x − c1n2
+The forward process is described by equations (3),(4),
+nd (5) in the main paper. We now provide the backward
+process, i.e., the partial derivatives ∂Si"

+41308edf82ae645923efea2d6979d076b975ee25,Convolutional Scale Invariance for Semantic Segmentation,"Convolutional Scale Invariance
+for Semantic Segmentation
+Ivan Kre(cid:20)so, Denis (cid:20)Cau(cid:20)sevi(cid:19)c, Josip Krapac and Sini(cid:20)sa (cid:20)Segvi(cid:19)c
+Faculty of Electrical Engineering and Computing
+University of Zagreb, Croatia"

+4188bd3ef976ea0dec24a2512b44d7673fd4ad26,Nonlinear Non-Negative Component Analysis Algorithms,"Nonlinear Non-Negative Component
+Analysis Algorithms
+Stefanos Zafeiriou, Member, IEEE, and Maria Petrou, Senior Member, IEEE"

+41000c3a3344676513ef4bfcd392d14c7a9a7599,A Novel Approach For Generating Face Template Using Bda,"A NOVEL APPROACH FOR GENERATING FACE
+TEMPLATE USING BDA
+Shraddha S. Shinde1 and Prof. Anagha P. Khedkar2
+P.G. Student, Department of Computer Engineering, MCERC, Nashik (M.S.), India.
+Associate Professor, Department of Computer Engineering, MCERC, Nashik (M.S.),
+India"

+418b468b804379e8a600bca0395e01bffb7e08de,Class-specific kernel linear regression classification for face recognition under low-resolution and illumination variation conditions,"Chou et al. EURASIP Journal on Advances in Signal Processing  (2016) 2016:28
+DOI 10.1186/s13634-016-0328-0
+Open Access
+R ES EAR CH
+Class-specific kernel linear regression
+lassification for face recognition under
+low-resolution and illumination variation
+onditions
+Yang-Ting Chou, Shih-Ming Huang and Jar-Ferr Yang*"

+416c647cd9f8c1d77db8676195dff7ae5dfc1fd8,Grammatical Facial Expressions Recognition with Machine Learning,"Grammatical Facial Expressions Recognition with Machine Learning
+Fernando de Almeida Freitas
+Incluir Tecnologia
+Itajub´a, MG, Brazil
+Universidade de S˜ao Paulo
+S˜ao Paulo, SP, Brazil
+Clodoaldo Aparecido de Moraes Lima
+Sarajane Marques Peres
+Felipe Venˆancio Barbosa
+Universidade de S˜ao Paulo
+S˜ao Paulo, SP, Brazil"

+414722ddd809b460d5b397eaf454fbb697cfb881,Dimensionality Reduction and Classification through PCA and LDA,"International Journal of Computer Applications (0975 – 8887)
+Volume 122 – No.17, July 2015
+Dimensionality Reduction and Classification
+through PCA and LDA
+Telgaonkar Archana H.
+PG Student
+Department of CS and IT
+Dr. BAMU, Aurangabad"

+41f6368bc4ec5e334c81a9d16185205b3acecee3,Machine Learning Methods from Group to Crowd Behaviour Analysis,"Machine learning methods from group to crowd
+ehaviour analysis
+Luis Felipe Borja-Borja1, Marcelo Saval-Calvo2, and Jorge Azorin-Lopez2
+Universidad Central del Ecuador,
+Ciudadela Universitaria Av. Am´erica, Quito, Ecuador
+Computer Technology Department, University of Alicante,
+Carretera San Vicente s/n, 03690, San Vicente del Raspeig (Spain)"

+41dd2ca8929bfdae49a4bf85de74df4723ef9c3b,Correction by Projection: Denoising Images with Generative Adversarial Networks,"CORRECTION BY PROJECTION: DENOISING IMAGES
+WITH GENERATIVE ADVERSARIAL NETWORKS
+Subarna Tripathi
+Zachary C. Lipton
+Truong Q. Nguyen
+UC San Diego
+UC San Diego
+UC San Diego"

+4129e1075c7856d8bebbf0655ae00a4843109429,A Tale of Two Losses : Discriminative Deep Feature Learning for Person Re-Identification,"A Tale of Two Losses: Discriminative Deep Feature Learning for
+Person Re-Identification
+Borgia, A., Hua, Y., & Robertson, N. (2017). A Tale of Two Losses: Discriminative Deep Feature Learning for
+Person Re-Identification. In Irish Machine Vision and Image Processing Conference 2017: Proceedings
+Published in:
+Irish Machine Vision and Image Processing Conference 2017: Proceedings
+Document Version:
+Peer reviewed version
+Queen's University Belfast - Research Portal:
+Link to publication record in Queen's University Belfast Research Portal
+Publisher rights
+© 2017 National University of Ireland Maynooth.
+This work is made available online in accordance with the publisher’s policies. Please refer to any applicable terms of use of the publisher.
+General rights
+Copyright for the publications made accessible via the Queen's University Belfast Research Portal is retained by the author(s) and / or other
+opyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated
+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
+ensure that content in the Research Portal does not infringe any person's rights, or applicable UK laws. If you discover content in the"

+414715421e01e8c8b5743c5330e6d2553a08c16d,PoTion : Pose MoTion Representation for Action Recognition,"PoTion: Pose MoTion Representation for Action Recognition
+Philippe Weinzaepfel2
+Inria∗
+NAVER LABS Europe
+J´erˆome Revaud2 Cordelia Schmid1
+Vasileios Choutas1,2"

+41f7c03519a2b108c064a2126daf627edde14c1e,Generic Object Detection using AdaBoost,"Generic Object Detection using AdaBoost
+Ben Weber
+Department of Computer Science
+University of California, Santa Cruz
+Santa Cruz, CA 95064"

+4196e0b77f88ea01cd868c535befb52c2722454f,3D Facial similarity: Automatic assessment versus perceptual judgments,"D Facial Similarity: Automatic Assessment versus Perceptual
+Judgments
+Anush K. Moorthy, Anish Mittal, Sina Jahanbin, Kristen Grauman and Alan C. Bovik"

+41ab4939db641fa4d327071ae9bb0df4a612dc89,Interpreting Face Images by Fitting a Fast Illumination-Based 3D Active Appearance Model,"Interpreting Face Images by Fitting a Fast
+Illumination-Based 3D Active Appearance
+Model
+Salvador E. Ayala-Raggi, Leopoldo Altamirano-Robles, Janeth Cruz-Enriquez
+Instituto Nacional de Astrof´ısica, ´Optica y Electr´onica,
+Luis Enrique Erro #1, 72840 Sta Ma. Tonantzintla. Pue., M´exico
+Coordinaci´on de Ciencias Computacionales
+{saraggi, robles,"

+41a5e043d499967f405e823b959e2ac4fdf9ff71,Extending Recognition in a Changing Environment,"Extending Recognition in a Changing Environment
+Department of Computer Science and Applied Mathematics, The Weizmann Institue of Science, Rehovot, Israel
+Daniel Harari and Shimon Ullman
+{danny.harari,
+Keywords:
+Object Recognition, Video Analysis, Dynamic Model Update, Unsupervised Learning, Bayesian Model."

+41a6196f88beced105d8bc48dd54d5494cc156fb,Using facial images for the diagnosis of genetic syndromes: A survey,"015 International Conference on
+Communications, Signal
+Processing, and their Applications
+(ICCSPA 2015)
+Sharjah, United Arab Emirates
+7-19 February 2015
+IEEE Catalog Number:
+ISBN:
+CFP1574T-POD
+978-1-4799-6533-5"

+41ddd29d9e56bb87b9f988afc75cd597657b2600,R4-A.3: Human Detection & Re-Identification for Mass Transit Environments,"R4-A.3: Human Detection & Re-Identification for
+Mass Transit Environments
+PARTICIPANTS
+Rich Radke
+Title
+Faculty/Staff
+Institution
+Graduate, Undergraduate and REU Students
+Srikrishna Karanam
+Eric Lam
+Degree Pursued
+Institution
+Email
+Month/Year of Graduation
+5/2017
+5/2017
+PROJECT DESCRIPTION
+Project Overview
+The computer vision research problem of human re-identification or “re-id” is generally posed as follows:
+Given a cropped rectangle of pixels representing a human in one view, a re-id algorithm produces a similarity"

+41decbe12a8aa7996163636e09d1ce1372c271cd,Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification,"Attentive Fashion Grammar Network for
+Fashion Landmark Detection and Clothing Category Classification
+Wenguan Wang∗1,2, Yuanlu Xu∗2, Jianbing Shen†1, and Song-Chun Zhu2
+Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, China
+Department of Computer Science and Statistics, University of California, Los Angeles, USA"

+413160257096b9efcd26d8de0d1fa53133b57a3d,Customer satisfaction measuring based on the most significant facial emotion,"Customer satisfaction measuring based on the most
+significant facial emotion
+Mariem Slim, Rostom Kachouri, Ahmed Atitallah
+To cite this version:
+Mariem Slim, Rostom Kachouri, Ahmed Atitallah. Customer satisfaction measuring based on the
+most significant facial emotion. 15th IEEE International Multi-Conference on Systems, Signals
+Devices (SSD 2018), Mar 2018, Hammamet, Tunisia. <hal-01790317>
+HAL Id: hal-01790317
+https://hal-upec-upem.archives-ouvertes.fr/hal-01790317
+Submitted on 11 May 2018
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+41de109bca9343691f1d5720df864cdbeeecd9d0,Facial Emotion Recognition: A Survey and Real-World User Experiences in Mixed Reality,"Article
+Facial Emotion Recognition: A Survey and
+Real-World User Experiences in Mixed Reality
+Dhwani Mehta, Mohammad Faridul Haque Siddiqui and Ahmad Y. Javaid * ID
+EECS Department, The University of Toledo, Toledo, OH 43606, USA; (D.M.);
+(M.F.H.S.)
+* Correspondence: Tel.: +1-419-530-8260
+Received: 10 December 2017; Accepted: 26 January 2018; Published: 1 Febuary 2018"

+41ed93fd97aa76b4abfda7a09168ad1799f34664,Video Event Detection: From Subvolume Localization to Spatiotemporal Path Search,"This document is downloaded from DR-NTU, Nanyang Technological
+University Library, Singapore.
+Title
+Video event detection : from subvolume localization to
+spatio-temporal path search
+Author(s)
+Tran, Du; Yuan, Junsong; Forsyth, David
+Citation
+Tran, D., Yuan, J., & Forsyth, D. (2014). Video Event
+Detection: From Subvolume Localization to
+Spatiotemporal Path Search. IEEE Transactions on
+Pattern Analysis and Machine Intelligence, 36(2), 404-
+http://hdl.handle.net/10220/19322
+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"

+41d9a240b711ff76c5448d4bf4df840cc5dad5fc,Image Similarity Using Sparse Representation and Compression Distance,"JOURNAL DRAFT, VOL. X, NO. X, APR 2013
+Image Similarity Using Sparse Representation
+nd Compression Distance
+Tanaya Guha, Student Member, IEEE, and Rabab K Ward, Fellow, IEEE"

+419a6fca4c8d73a1e43003edc3f6b610174c41d2,A component based approach improves classification of discrete facial expressions over a holistic approach,"A Component Based Approach Improves Classification of Discrete
+Facial Expressions Over a Holistic Approach
+Kenny Hong, and Stephan K. Chalup, Senior Member, IEEE and Robert A.R. King"

+41a174c27f0b431d62d0f50051bce7f5b3b4ce64,A System for Object Class Detection,"A system for object class detection
+Daniela Hall
+INRIA Rh^one-Alpes, 655, ave de l’Europe,
+8320 St. Ismier, France"

+4131aa28d640d17e1d63ca82e55cc0b280db0737,Coulomb Gans: Provably Optimal Nash Equi-,"Under review as a conference paper at ICLR 2018
+COULOMB GANS: PROVABLY OPTIMAL NASH EQUI-
+LIBRIA VIA POTENTIAL FIELDS
+Anonymous authors
+Paper under double-blind review"

+4180978dbcd09162d166f7449136cb0b320adf1f,Real-time head pose classification in uncontrolled environments with Spatio-Temporal Active Appearance Models,"Real-time head pose classification in uncontrolled environments
+with Spatio-Temporal Active Appearance Models
+Miguel Reyes∗ and Sergio Escalera+ and Petia Radeva +
+Matematica Aplicada i Analisi ,Universitat de Barcelona, Barcelona, Spain
++ Matematica Aplicada i Analisi, Universitat de Barcelona, Barcelona, Spain
++ Matematica Aplicada i Analisi, Universitat de Barcelona, Barcelona, Spain"

+41ea92251c668a99d2b9a31935fc71e6b6d82b6d,Canonical Correlation Analysis of Datasets With a Common Source Graph,"Canonical Correlation Analysis of Datasets
+with a Common Source Graph
+Jia Chen, Gang Wang, Student Member, IEEE,
+Yanning Shen, Student Member, IEEE, and Georgios B. Giannakis, Fellow, IEEE"

+4106c49eb96b506ea1125c27e2b2f32ad79f8c48,"Markovian Tracking-by-Detection from a Single, Uncalibrated Camera","Markovian Tracking-by-Detection from a Single, Uncalibrated Camera
+Michael D. Breitenstein1 Fabian Reichlin1 Bastian Leibe1,2 Esther Koller-Meier1 Luc Van Gool1,3
+ETH Zurich
+RWTH Aachen
+KU Leuven"

+413a1a00f0eab2fcc3dcc0d821fb2f34e85f5d7a,Pedestrian detection by scene dependent classifiers with generative learning,"June 23-26, 2013, Gold Coast, Australia
+978-1-4673-2754-1/13/$31.00 ©2013 IEEE"

+413c960e57ec3fe713e7b3e070cb6072726874bd,A Search Space Strategy for Pedestrian Detection and Localization in World Coordinates,

+41fafb5392ad5e33e5169d870812ab5edca301a1,Tree-Structured Stick Breaking Processes for Hierarchical Data,"TREE-STRUCTURED STICK BREAKING PROCESSES
+FOR HIERARCHICAL DATA
+By Ryan P. Adams, Zoubin Ghahramani and Michael I. Jordan
+Many data are naturally modeled by an unobserved hierarchical
+structure. In this paper we propose a flexible nonparametric prior over
+processes to allow for trees of unbounded width and depth, where data
+an live at any node and are infinitely exchangeable. One can view
+our model as providing infinite mixtures where the components have a
+dependency structure corresponding to an evolutionary diffusion down
+tree. By using a stick-breaking approach, we can apply Markov chain
+Monte Carlo methods based on slice sampling to perform Bayesian
+inference and simulate from the posterior distribution on trees. We
+pply our method to hierarchical clustering of images and topic
+modeling of text data.
+. Introduction. Structural aspects of models are often critical to ob-
+taining flexible, expressive model families. In many cases, however, the
+structure is unobserved and must be inferred, either as an end in itself or
+to assist in other estimation and prediction tasks. This paper addresses an
+important instance of the structure learning problem: the case when the
+data arise from a latent hierarchy. We take a direct nonparametric Bayesian"

+4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06,Nighttime Face Recognition at Long Distance: Cross-Distance and Cross-Spectral Matching,"Nighttime Face Recognition at Long Distance:
+Cross-distance and Cross-spectral Matching
+Hyunju Maenga, Shengcai Liaob, Dongoh Kanga, Seong-Whan Leea,
+Anil K. Jaina;b
+Dept. of Brain and Cognitive Eng. Korea Univ., Seoul, Korea
+Dept. of Comp. Sci. & Eng. Michigan State Univ., E. Lansing, MI, USA 48824"

+41690be86b39c55a26ea056261513ddd726d6601,Heterogeneous microarchitectures trump voltage scaling for low-power cores,"Heterogeneous Microarchitectures Trump Voltage Scaling
+for Low-Power Cores
+Andrew Lukefahr, Shruti Padmanabha, Reetuparna Das, Ronald Dreslinski Jr.,
+Thomas F. Wenisch, and Scott Mahlke
+Advanced Computer Architecture Laboratory
+Ann Arbor, MI, USA
+{lukefahr, shrupad, reetudas, rdreslin, twenisch,"

+4189aa74550c1761dd5927442d0a98ff3d3d1134,Residual Conv-Deconv Grid Network for Semantic Segmentation,"FOURURE ET AL.: RESIDUAL CONV-DECONV GRIDNET
+Residual Conv-Deconv Grid Network for
+Semantic Segmentation
+Univ Lyon, UJM Saint-Etienne,
+CNRS UMR 5516,
+Hubert Curien Lab, F-42023
+Saint-Etienne, France
+INSA-Lyon,
+LIRIS UMR CNRS 5205,
+F-69621,
+France
+Damien Fourure1
+Rémi Emonet1
+Elisa Fromont1
+Damien Muselet1
+Alain Tremeau1
+Christian Wolf2"

+413a184b584dc2b669fbe731ace1e48b22945443,Human Pose Co-Estimation and Applications,"Human Pose Co-Estimation and Applications
+Marcin Eichner and Vittorio Ferrari"

+410017a1810308564dc54cb986b12f079428f966,A functional pipeline framework for landmark identification on 3D surface extracted from volumetric data,"RESEARCH ARTICLE
+A functional pipeline framework for landmark
+identification on 3D surface extracted from
+volumetric data
+Pan Zheng1,2*, Bahari Belaton2*, Iman Yi Liao3, Zainul Ahmad Rajion4,5
+Faculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak Campus,
+Kuching, Malaysia, 2 School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia, 3 School of
+Computer Science, The University of Nottingham Malaysia Campus, Semenyih, Malaysia, 4 School of Dental
+Sciences, Universiti Sains Malaysia, Kubang Kerian, Malaysia, 5 College of Dentistry, King Saud bin
+Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia
+* (PZ); (BB)"

+4183d1b79d54f5638063e6c59a2a873ee2cd1bed,Multi-cue pedestrian classification with partial occlusion handling,"Multi-Cue Pedestrian Classification With Partial Occlusion Handling
+Markus Enzweiler1
+Angela Eigenstetter2
+Bernt Schiele2,3
+Dariu M. Gavrila4,5
+Image & Pattern Analysis Group, Univ. of Heidelberg, Germany
+Computer Science Department, TU Darmstadt, Germany
+MPI Informatics, Saarbr¨ucken, Germany
+Environment Perception, Group Research, Daimler AG, Ulm, Germany
+5 Intelligent Autonomous Systems Group, Univ. of Amsterdam, The Netherlands"

+41c1b8f319e27be0c77c3b33cf877c29b1676501,"3D Face Recognition based on Radon Transform, PCA, LDA using KNN and SVM","I.J. Computer Network and Information Security, 2014, 7, 36-43
+Published Online June 2014 in MECS (http://www.mecs-press.org/)
+DOI: 10.5815/ijcnis.2014.07.05
+D Face Recognition based on Radon Transform,
+PCA, LDA using KNN and SVM
+P. S. Hiremath and Manjunatha Hiremath
+Department of Computer Science, Gulbarga University, Gulbarga – 585106
+e-mail: and
+Karnataka, India"

+83b7578e2d9fa60d33d9336be334f6f2cc4f218f,The S-HOCK dataset: Analyzing crowds at the stadium,"The S-HOCK Dataset: Analyzing Crowds at the Stadium
+Davide Conigliaro1,3, Paolo Rota2, Francesco Setti3, Chiara Bassetti3, Nicola Conci4, Nicu Sebe4, Marco Cristani1,
+University of Verona. 2Vienna Institute of Technology. 3ISTC–CNR (Trento). 4University of Trento.
+The topic of crowd modeling in computer vision usually assumes a sin-
+gle generic typology of crowd, which is very simplistic. In this paper we
+dopt a taxonomy that is widely accepted in sociology, focusing on a partic-
+ular category, the spectator crowd, which is formed by people “interested in
+watching something specific that they came to see” [1]. This can be found
+t the stadiums, amphitheaters, cinema, etc.
+In particular, we propose a
+novel dataset, the Spectators Hockey (S-HOCK), which deals with 4 hockey
+matches during an international tournament.
+The dataset is unique in the crowd literature, and in general in the
+surveillance realm. The dataset analyzes the crowd at different levels of
+detail. At the highest level, it models the network of social connections
+mong the public (who knows whom in the neighborhood), what is the sup-
+ported team and what has been the best action in the match; all of this has
+een obtained by interviews at the stadium. At a medium level, spectators
+re localized, and information regarding the pose of their heads and body is
+given. Finally, at a lowest level, a fine grained specification of all the actions"

+83b20fdd3eafd21a6971dacc73d85c484a093bfc,Interleaved Structured Sparse Convolutional Neural Networks,"Interleaved Structured Sparse Convolutional Neural Networks
+Guotian Xie1,2,∗ Jingdong Wang3† Ting Zhang3
+Jianhuang Lai1,2 Richang Hong4 Guo-Jun Qi5
+Sun Yat-Sen University 2Guangdong Key Laboratory of Information Security Technology
+Microsoft Research 4Hefei University of Technology 5University of Central Florida"

+83ca4cca9b28ae58f461b5a192e08dffdc1c76f3,Detecting emotional stress from facial expressions for driving safety,"DETECTING EMOTIONAL STRESS FROM FACIAL EXPRESSIONS FOR DRIVING SAFETY
+Hua Gao, Anil Y¨uce, Jean-Philippe Thiran
+Signal Processing Laboratory (LTS5),
+´Ecole Polytechnique F´ed´erale de Lausanne, Switzerland"

+83c19722450e8f7dcb89dabb38265f19efafba27,A framework with updateable joint images re-ranking for Person Re-identification,"A framework with updateable joint images re-ranking for Person
+Re-identification
+Yuan Mingyue1,2  Yin Dong1,2*  Ding Jingwen1,3*  Luo Yuhao1,2  Zhou Zhipeng1,2
+Zhu Chengfeng1,2  Zhang Rui1,2
+School of Information Science Technology, USTC, Hefei, Anhui 230027, China
+Key Laboratory of Electromagnetic Space Information of CAS, Hefei, Anhui 230027, China"

+8380b8f4e36c993eef23af42ccb382ae60aceabf,"URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision","URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians
+in cities using deep learning and computer vision
+Mohamed R. Ibrahim1, James Haworth2 and Tao Cheng3
+Department of Civil, Environmental and Geomatic Engineering, University College London (UCL)"

+831fbef657cc5e1bbf298ce6aad6b62f00a5b5d9,Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning,

+830b48f210f3905117b335e305166df4ec092b8b,Pixel-Level Encoding and Depth Layering for Instance-Level Semantic Labeling,"Pixel-level Encoding and Depth Layering for
+Instance-level Semantic Labeling
+Jonas Uhrig1,2, Marius Cordts1,3, Uwe Franke1, Thomas Brox2
+Daimler AG R&D, 2University of Freiburg, 3TU Darmstadt"

+8322ed1a3db7c63af40280a782e39fb01bfe96dd,Class label autoencoder for zero-shot learning,"Class label autoencoder for zero-shot learning
+Guangfeng Lina,∗, Caixia Fana, Wanjun Chena, Yajun Chena, Fan Zhaoa
+Information Science Department, Xian University of Technology,
+5 South Jinhua Road, Xi’an, Shaanxi Province 710048, PR China"

+833a2c168849697aae3589bbeef0cbca22808fe8,"Quantity, Contrast, and Convention in Cross-Situated Language Comprehension","Proceedings of the 19th Conference on Computational Language Learning, pages 226–236,
+Beijing, China, July 30-31, 2015. c(cid:13)2015 Association for Computational Linguistics"

+8306e384e7ca48445843bc025b08236cd181d7c6,Histogram of Oriented Gradients with Cell Average Brightness for Human Detection,"Metrol. Meas. Syst., Vol. XXIII (2016), No. 1, pp. 27–36.
+METROLOGY AND MEASUREMENT SYSTEMS
+Index 330930, ISSN 0860-8229
+www.metrology.pg.gda.pl
+HISTOGRAM OF ORIENTED GRADIENTS WITH CELL AVERAGE
+BRIGHTNESS FOR HUMAN DETECTION
+Marek Wójcikowski
+Gdańsk University of Technology, Faculty of Electronics, Telecommunications and Informatics, G. Narutowicza 11/12, 80-233 Gdańsk, Poland
+((cid:1) +48 58 347 1974)"

+83c00537e0c3e226d999a5abf02464e138867e96,Pedestrians and their phones - detecting phone-based activities of pedestrians for autonomous vehicles,"Windsor Oceanico Hotel, Rio de Janeiro, Brazil, November 1-4, 2016
+978-1-5090-1889-5/16/$31.00 ©2016 IEEE"

+832e1d128059dd5ed5fa5a0b0f021a025903f9d5,Pairwise Conditional Random Forests for Facial Expression Recognition,"Pairwise Conditional Random Forests for Facial Expression Recognition
+Arnaud Dapogny1
+Kevin Bailly1
+S´everine Dubuisson1
+Sorbonne Universit´es, UPMC Univ Paris 06, CNRS, ISIR UMR 7222, 4 place Jussieu 75005 Paris"

+83e093a07efcf795db5e3aa3576531d61557dd0d,Facial Landmark Localization Using Robust Relationship Priors and Approximative Gibbs Sampling,"Facial Landmark Localization using Robust
+Relationship Priors and Approximative Gibbs
+Sampling
+Karsten Vogt, Oliver M¨uller and J¨orn Ostermann
+Institut f¨ur Informationsverarbeitung (tnt)
+Leibniz Universit¨at Hannover, Germany
+{vogt, omueller,"

+8326d3e57796dad294ab1c14a0688221550098b6,ABC-GAN: Adaptive Blur and Control for improved training stability of Generative Adversarial Networks,"Adaptive Blur and Control for improved training stability of
+Generative Adversarial Networks
+ABC-GAN:
+Igor Susmelj 3 Eirikur Agustsson 3 Radu Timofte 3"

+8377ac1b2dffb11cf48f456be2531c95d14aa6e5,Improving the Annotation of DeepFashion Images for Fine-grained Attribute Recognition,"Improving the Annotation of DeepFashion
+Images for Fine-grained Attribute Recognition
+Roshanak Zakizadeh, Michele Sasdelli, Yu Qian and Eduard Vazquez
+Cortexica Vision Systems, London, UK"

+838a4bcfeb36dc7bdb4a38f776fc0a70ce8ae9f0,Face Presentation Attack Detection using Biologically-inspired Features,

+83ef7de2669bb2827208fd3a64ac910e276fbdb4,Fully Convolutional Networks for Dense Semantic Labelling of High-Resolution Aerial Imagery,"Fully Convolutional Networks for Dense Semantic Labelling of
+High-Resolution Aerial Imagery
+Jamie Sherrah
+Defence Science & Technology Group
+Edinburgh, South Australia
+email:
+https://au.linkedin.com/jsherrah
+June 9, 2016"

+8397956c7ad3bd24c6c6c0b38866e165367327c0,Social Relation Trait Discovery from Visual LifeLog Data with Facial Multi-Attribute Framework,

+83b4899d2899dd6a8d956eda3c4b89f27f1cd308,A Robust Approach for Eye Localization Under Variable Illuminations,"-4244-1437-7/07/$20.00 ©2007 IEEE
+I - 377
+ICIP 2007"

+8387c58a5a3fd847f9b03760842dd49fec7cbb0e,Two-year-olds with autism orient to nonsocial contingencies rather than biological motion,"Vol 459 | 14 May 2009 | doi:10.1038/nature07868
+LETTERS
+Two-year-olds with autism orient to non-social
+ontingencies rather than biological motion
+Ami Klin1, David J. Lin1{, Phillip Gorrindo1{, Gordon Ramsay1,2 & Warren Jones1,3
+Typically developing human infants preferentially attend to bio-
+logical motion within the first days of life1. This ability is highly
+onserved across species2,3 and is believed to be critical for filial
+ttachment and for detection of predators4. The neural under-
+pinnings of biological motion perception are overlapping with
+rain regions involved in perception of basic social signals such
+s facial expression and gaze direction5, and preferential attention
+to biological motion is seen as a precursor to the capacity for
+ttributing intentions to others6. However, in a serendipitous
+observation7, we recently found that an infant with autism failed
+to recognize point-light displays of biological motion, but was
+instead highly sensitive to the presence of a non-social, physical
+ontingency that occurred within the stimuli by chance. This
+observation raised the possibility that perception of biological
+motion may be altered in children with autism from a very early"

+833fbf0e4be3ba82e7a1efdbc16813ee849d9942,Restricted Deformable Convolution based Road Scene Semantic Segmentation Using Surround View Cameras,"SUBMITTED TO IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
+Restricted Deformable Convolution based
+Road Scene Semantic Segmentation
+Using Surround View Cameras
+Liuyuan Deng, Ming Yang, Hao Li, Tianyi Li, Bing Hu, Chunxiang Wang"

+83d1617092b34804c3825fdf4292120c382fe043,Appearance-Based Multimodal Human Tracking and Identification for Healthcare in the Digital Home,"Sensors 2014, 14, 14253-14277; doi:10.3390/s140814253
+OPEN ACCESS
+sensors
+ISSN 1424-8220
+www.mdpi.com/journal/sensors
+Article
+Appearance-Based Multimodal Human Tracking and
+Identification for Healthcare in the Digital Home
+Mau-Tsuen Yang * and Shen-Yen Huang
+Department of Computer Science & Information Engineering, National Dong-Hwa University, No. 1,
+Sec. 2, Da-Hsueh Rd., Shoufeng, Hualien 974, Taiwan; E-Mail:
+*  Author to whom correspondence should be addressed; E-Mail:
+Tel.: +886-3-863-4028; Fax: +886-3-863-4010.
+Received: 2 April 2014; in revised form: 3 July 2014 / Accepted: 8 July 2014 /
+Published: 5 August 2014"

+8323af714efe9a3cadb31b309fcc2c36c8acba8f,Automatic Real-Time Facial Expression Recognition for Signed Language Translation,"Automatic Real-Time
+Facial Expression Recognition
+for Signed Language Translation
+Jacob Richard Whitehill
+A thesis submitted in partial fulfillment of the requirements for the de-
+gree of Magister Scientiae in the Department of Computer Science,
+University of the Western Cape.
+May 2006"

+83fd5c23204147844a0528c21e645b757edd7af9,USDOT number localization and recognition from vehicle side-view NIR images,"USDOT Number Localization and Recognition From Vehicle Side-View NIR
+Images
+Orhan Bulan, Safwan Wshah, Ramesh Palghat, Vladimir Kozitsky and Aaron Burry
+Palo Alto Research Center (PARC)
+800 Phillips Rd. Webster NY 14580"

+83ce2c969ea323784b9098b9b170e015d559a1df,Detecting domestic objects with ensembles of view-tuned support vector machine cascades trained on Web images,"Detecting Domestic Objects with Ensembles of
+View-tuned Support Vector Machine Cascades Trained
+on Web Images
+Marco Kortkamp"

+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,
+Fanny Monori∗
+February 16, 2017"

+834f5ab0cb374b13a6e19198d550e7a32901a4b2,Face Translation between Images and Videos using Identity-aware CycleGAN,"Face Translation between Images and Videos using Identity-aware CycleGAN
+Zhiwu Huang†, Bernhard Kratzwald†, Danda Pani Paudel†, Jiqing Wu†, Luc Van Gool†‡
+Computer Vision Lab, ETH Zurich, Switzerland
+VISICS, KU Leuven, Belgium
+{zhiwu.huang, paudel, jwu,"

+83df0ec6071dfda29da831860fdb2a1f19a6b3bc,3D Face Recognition Using Joint Differential Invariants,"D Face Recognition Using Joint Differential
+Invariants
+Marinella Cadoni1, Manuele Bicego1,2, and Enrico Grosso1
+Computer Vision Laboratory, DEIR, University of Sassari, Italy
+Computer Science Dept., University of Verona, Italy"

+832aae00e16c647716f1be38de233c9c15af9a28,Feature fusion for facial landmark detection,"Author's Accepted Manuscript
+Feature fusion for facial landmark detection
+Panagiotis Perakis, Theoharis Theoharis, Ioan-
+nis A. Kakadiaris
+Reference:
+S0031-3203(14)00105-8
+http://dx.doi.org/10.1016/j.patcog.2014.03.007
+PR5053
+www.elsevier.com/locate/pr
+To appear in:
+Received date: 10 March 2013
+Revised date: 18 September 2013
+Accepted date: 8 March 2014
+Cite this article as: Panagiotis Perakis, Theoharis Theoharis,
+http://dx.doi.org/10.1016/j.patcog.2014.03.007
+Ioannis A.
+This is a PDF file of an unedited manuscript that has been accepted for
+publication. As a service to our customers we are providing this early version of
+the manuscript. The manuscript will undergo copyediting, typesetting, and
+review of the resulting galley proof before it is published in its final citable form."

+8320dbdd3e4712cca813451cd94a909527652d63,Ear Biometrics,"EAR BIOMETRICS
+Mark Burge
+nd Wilhelm Burger
+Johannes Kepler University(cid:1) Institute of Systems Science(cid:1) A(cid:2)
+urge(cid:1)cast(cid:2)uni(cid:3)linz(cid:2)ac(cid:2)at"

+83d0b7100ddce32e37af72585f9aa4181e6447e3,Online Social Behavior Modeling for Multi-target Tracking,"Online Social Behavior Modeling for Multi-Target Tracking
+Shu Zhang1 Abir Das1 Chong Ding2 Amit K. Roy-Chowdhury1
+University of California, Riverside, CA 92521 USA"

+833cd4265bd8162d3cfb483ce8f31eaef28e7a2e,Towards Effective Gans,"Under review as a conference paper at ICLR 2018
+TOWARDS EFFECTIVE GANS
+FOR DATA DISTRIBUTIONS WITH DIVERSE MODES
+Anonymous authors
+Paper under double-blind review"

+83968f81f23a34e18e850fe2cf68bab51e22e35c,Attention-Driven Parts-Based Object Detection,"Attention-Driven Parts-Based Object Detection
+Ilkka Autio & J.T. Lindgren
+Department of Computer Science
+University of Helsinki
+Finland"

+83e71455ee2070617ea35c02f03b7451187985d1,Faces Recognition with Image Feature Weights and Least Mean Square Learning Approach,"Faces Recognition with Image Feature Weights and Least Mean Square
+Learning Approach
+Dept. of Electrical Engineering, National Taiwan Uni. of Sci. & Technology, Taipei, Taiwan
+Wei-Li Fang, Ying-Kuei Yang and Jung-Kuei Pan
+Email:"

+833bdee366f1e6250dea59bdebdcad271c7cfddd,Bayesian non-parametrics for multi-modal segmentation,"Bayesian Non-Parametrics for
+Multi-Modal Segmentation
+Thesis for obtaining the title of
+Doctor of Engineering Science
+(Dr.-Ing.)
+of the Faculty of Natural Science and Technology I
+of Saarland University
+Wei-Chen Chiu, M.Sc.
+Saarbrücken
+September 2016"

+837e99301e00c2244023a8a48ff98d7b521c93ac,Local Feature Evaluation for a Constrained Local Model Framework,"Local Feature Evaluation for a Constrained
+Local Model Framework
+Maiya Hori(B), Shogo Kawai, Hiroki Yoshimura, and Yoshio Iwai
+Graduate School of Engineering, Tottori University,
+01 Minami 4-chome, Koyama-cho, Tottori 680-8550, Japan"

+83e7254431486d24715d4170680c6cbc8bdb2328,Image retrieval using visual attention,"IMAGE RETRIEVAL USING VISUAL ATTENTION
+Liam M. Mayron
+A Dissertation Submitted to the Faculty of
+The College of Engineering and Computer Science
+in Partial Fulfillment of the Requirements for the Degree of
+Doctor of Philosophy
+Florida Atlantic University
+Boca Raton, Florida
+May 2008"

+83c332971c4534907afc4865179c2de30f2792c4,Sparse and Dense Hybrid Representation via Dictionary Decomposition for Face Recognition,"Sparse And Dense Hybrid Representation
+via Dictionary Decomposition
+for Face Recognition
+Xudong Jiang, Senior Member, IEEE, and Jian Lai, Student Member, IEEE"

+8326b11dd0b81dcc169ce21fc12e0c9d632db6bd,Tracking and Recognition: A Unified Approach on Tracking and Recognition,"ISSN: 2321-8169
+International Journal on Recent and Innovation Trends in Computing and Communication
+Volume: 2 Issue: 11
+3532 – 3539
+_______________________________________________________________________________________________
+Tracking and Recognition: A Unified Approach on Tracking and Recognition
+Ms. Anuja V. Vaidya
+Dr. Mrs. S.B. Patil
+Dept. of Electronics & Communication
+Dept of Electronics & Communication
+Dr. J.J. Magdum College of  Engg. Jaysingpur,
+Dr. J.J. Magdum College of Engg. Jaysingpur,
+Maharashtra, India
+Maharashtra, India"

+834b15762f97b4da11a2d851840123dbeee51d33,Landmark-free smile intensity estimation,"Landmark-free smile intensity estimation
+J´ulio C´esar Batista, Olga R. P. Bellon and Luciano Silva
+IMAGO Research Group - Universidade Federal do Paran´a
+Fig. 1. Overview of our method for smile intensity estimation"

+83e7c51c4d6f04049f5a3dbf4ac9e129ed96caee,Spatio-temporal Pain Recognition in CNN-Based Super-Resolved Facial Images,"Aalborg Universitet
+Spatio-Temporal Pain Recognition in CNN-based Super-Resolved Facial Images
+Bellantonio, Marco; Haque, Mohammad Ahsanul; Rodriguez, Pau; Nasrollahi, Kamal; Telve,
+Taisi; Guerrero, Sergio Escalera; Gonzàlez, Jordi; Moeslund, Thomas B.; Rasti, Pejman;
+Anbarjafari, Gholamreza
+Published in:
+Video Analytics
+DOI (link to publication from Publisher):
+0.1007/978-3-319-56687-0_13
+Publication date:
+Document Version
+Accepted author manuscript, peer reviewed version
+Link to publication from Aalborg University
+Citation for published version (APA):
+Bellantonio, M., Haque, M. A., Rodriguez, P., Nasrollahi, K., Telve, T., Guerrero, S. E., ... Anbarjafari, G. (2017).
+Spatio-Temporal Pain Recognition in CNN-based Super-Resolved Facial Images. In Video Analytics: Face and
+Facial Expression Recognition and Audience Measurement Springer.  Lecture Notes in Computer Science, Vol..
+0165 https://doi.org/10.1007/978-3-319-56687-0_13
+General rights
+Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners"

+83b700f0777a408eb36eef4b1660beb3f6dc1982,Violent behaviour detection using local trajectory response,"See	discussions,	stats,	and	author	profiles	for	this	publication	at:	https://www.researchgate.net/publication/317628106
+Violent	behaviour	detection	using	local
+trajectory	response
+Conference	Paper	·	January	2016
+DOI:	10.1049/ic.2016.0082
+CITATIONS
+authors,	including:
+Paul	L.	Rosin
+Cardiff	University
+READS
+David	Marshall
+Cardiff	University
+31	PUBLICATIONS			7,739	CITATIONS
+98	PUBLICATIONS			2,855	CITATIONS
+SEE	PROFILE
+SEE	PROFILE
+Simon	Christopher	Moore
+University	of	Wales
+08	PUBLICATIONS			1,069	CITATIONS
+SEE	PROFILE"

+83a4b9c9ae3f75bf7e4a3222c46d99be7b7998ab,A random forest approach to segmenting and classifying gestures,"A Random Forest Approach to Segmenting and Classifying Gestures
+Ajjen Joshi1, Camille Monnier2, Margrit Betke1 and Stan Sclaroff1
+Department of Computer Science, Boston Univeristy, Boston, MA 02215 USA
+Charles River Analytics, Cambridge, MA 02138 USA"

+833f6ab858f26b848f0d747de502127406f06417,Learning weighted similarity measurements for unconstrained face recognition,"978-1-4244-5654-3/09/$26.00 ©2009 IEEE
+ICIP 2009"

+832a9584e85af1675d49ee35fd13283b21ce3a3f,Generating Photo-Realistic Training Data to Improve Face Recognition Accuracy,"Generating Photo-Realistic Training Data to Improve
+Face Recognition Accuracy
+Daniel S´aez Trigueros, Li Meng
+School of Engineering and Technology
+University of Hertfordshire
+Hatfield AL10 9AB, UK
+Margaret Hartnett
+GBG plc
+London E14 9QD, UK"

+8399c71abc9a820bacd9c4e21c85c461c0b830b3,"Adaboost with ""Keypoint Presence Features"" for Real-Time Vehicle Visual Detection","Author manuscript, published in ""16th World Congress on Intelligent Transport Systems (ITSwc'2009), Sweden (2009)"""

+83963d1454e66d9cc82e28ff4efc562f5fe6b7d3,"Automated detection of feeding strikes by larval fish using continuous high-speed digital video: a novel method to extract quantitative data from fast, sparse kinematic events.","© 2016. Published by The Company of Biologists Ltd | Journal of Experimental Biology (2016) 219, 1608-1617 doi:10.1242/jeb.133751
+METHODS & TECHNIQUES
+Automated detection of feeding strikes by larval fish using
+ontinuous high-speed digital video: a novel method to extract
+quantitative data from fast, sparse kinematic events
+Eyal Shamur1,‡, Miri Zilka2,*,‡, Tal Hassner1, Victor China3,4, Alex Liberzon5 and Roi Holzman3,4,§
+the observer and subject"

+8309e8f27f3fb6f2ac1b4343a4ad7db09fb8f0ff,Generic versus Salient Region-Based Partitioning for Local Appearance Face Recognition,"Generic versus Salient Region-based Partitioning
+for Local Appearance Face Recognition
+Hazım Kemal Ekenel and Rainer Stiefelhagen
+Computer Science Depatment, Universit¨at Karlsruhe (TH)
+Am Fasanengarten 5, Karlsruhe 76131, Germany
+http://isl.ira.uka.de/cvhci"

+1b02b9413b730b96b91d16dcd61b2420aef97414,Détection de marqueurs affectifs et attentionnels de personnes âgées en interaction avec un robot. (Audio-visual detection of emotional (laugh and smile) and attentional markers for elderly people in social interaction with a robot),"Détection de marqueurs affectifs et attentionnels de
+personnes âgées en interaction avec un robot
+Fan Yang
+To cite this version:
+Fan Yang. Détection de marqueurs affectifs et attentionnels de personnes âgées en interaction
+vec un robot.
+Intelligence artificielle [cs.AI]. Université Paris-Saclay, 2015. Français. <NNT :
+015SACLS081>. <tel-01280505>
+HAL Id: tel-01280505
+https://tel.archives-ouvertes.fr/tel-01280505
+Submitted on 29 Feb 2016
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,"

+1bed38bc216f80a50617afa5c6d9cc4b2db72519,Face recognition using early biologically inspired features,"Face Recognition Using Early Biologically Inspired Features
+Min Li, Shenghua Bao, Weihong Qian, and Zhong Su
+IBM China Research Lab, PRC
+fminliml,baoshhua,qianwh,
+Nalini K. Ratha
+IBM Watson Research Center, USA"

+1b55a0ad1d4738a7d46ed787542991d4a05ae27e,Accurate Object Detection and Semantic Segmentation using Gaussian Mixture Model and CNN,"IJARCCE
+ISSN (Online) 2278-1021
+ISSN (Print) 2319 5940
+International Journal of Advanced Research in Computer and Communication Engineering
+Vol. 4, Issue 11, November 2015
+Accurate Object Detection and Semantic
+Segmentation using Gaussian Mixture Model and
+Sakshi Jain1, Satish Dehriya2, Yogendra Kumar Jain3
+Research Scholar, Computer Science & Engg, Samrat Ashok Technological Institute, Vidisha (M.P.), India1
+Assist. Professor, Computer Science & Engg, Samrat Ashok Technological Institute, Vidisha (M.P.), India 2
+Head of the Department, Computer Science & Engg, Samrat Ashok Technological Institute, Vidisha (M.P.), India3"

+1b2183c2b9608b7f815551c9ba602f22205126b1,Facial Reenactment Project Plan,"Facial Reenactment
+Project Plan
+Student:
+Li Wing Yee
+Supervisor:
+Dr. Dirk Scheiders"

+1b1d9b528c69e082dc5685089090bd2d849d887d,MixedPeds: Pedestrian Detection in Unannotated Videos using Synthetically-Generated Human-agents for Training,"MixedPeds: Pedestrian Detection in Unannotated Videos using Synthetically
+Generated Human-agents for Training
+Ernest Cheung, Anson Wong, Aniket Bera, Dinesh Manocha
+Department of Computer Science
+Project Webpage: http://gamma.cs.unc.edu/MixedPeds
+The University of North Carolina at Chapel Hill
+Email: {ernestc, ahtsans, ab,"

+1bb14ddc0326a8e5b44eafd915738c2b1342f392,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
+On color texture normalization for active appearance models
+Author(s)
+Ionita, Mircea C.; Corcoran, Peter M.; Buzuloiu, Vasile
+Publication
+009-05-12
+Publication
+Information
+Ionita, M. C., Corcoran, P., & Buzuloiu, V. (2009). On Color
+Texture Normalization for Active Appearance Models. Image
+Processing, IEEE Transactions on, 18(6), 1372-1378.
+Publisher
+Link to
+publisher's
+version
+http://dx.doi.org/10.1109/TIP.2009.2017163
+Item record
+http://hdl.handle.net/10379/1350"

+1b7a7d291235e4b6e5f97722124070feb26f3cc1,Learning Two-Branch Neural Networks for Image-Text Matching Tasks,"Learning Two-Branch Neural Networks for
+Image-Text Matching Tasks
+Liwei Wang, Yin Li, Jing Huang, Svetlana Lazebnik"

+1ba55051d3957895d77257cc9a5885068fb2e43a,High-Resolution Face Verification Using Pore-Scale Facial Features,"High-Resolution Face Verification Using
+Pore-Scale Facial Features
+Dong Li, Huiling Zhou, and Kin-Man Lam"

+1b8508c6e341dcc803e52ed02968ae944c744f68,Face detection evaluation: a new approach based on the golden ratio $${\Phi}$$,"SIViP manuscript No.
+(will be inserted by the editor)
+Face Detection Evaluation: A New Approach Based on
+the Golden Ratio (cid:8)
+M. Hassaballah (cid:1) Kenji Murakami (cid:1) Shun Ido
+Received: 1 Jan. 2011 /Revised: 9 March 2011/ Accepted: date"

+1b55c4e804d1298cbbb9c507497177014a923d22,Incremental Class Representation Learning for Face Recognition,"Incremental Class Representation
+Learning for Face Recognition
+Degree’s Thesis
+Audiovisual Systems Engineering
+Author:
+Advisors: Elisa Sayrol, Josep Ramon Morros
+Eric Presas Valga
+Universitat Politècnica de Catalunya (UPC)
+016 - 2017"

+1b6394178dbc31d0867f0b44686d224a19d61cf4,EPML: Expanded Parts Based Metric Learning for Occlusion Robust Face Verification,"EPML: Expanded Parts based Metric Learning for
+Occlusion Robust Face Verification
+Gaurav Sharma, Fr´ed´eric Jurie, Patrick P´erez
+To cite this version:
+Gaurav Sharma, Fr´ed´eric Jurie, Patrick P´erez. EPML: Expanded Parts based Metric Learning
+for Occlusion Robust Face Verification. Asian Conference on Computer Vision, Nov 2014, -,
+Singapore. pp.1-15, 2014. <hal-01070657>
+HAL Id: hal-01070657
+https://hal.archives-ouvertes.fr/hal-01070657
+Submitted on 2 Oct 2014
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+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"

+1bdef21f093c41df2682a07f05f3548717c7a3d1,Towards Automated Classification of Emotional Facial Expressions,"Towards Automated Classification of Emotional Facial Expressions
+Lewis J. Baker Vanessa LoBue
+Elizabeth Bonawitz & Patrick Shafto
+Department of Mathematics and Computer Science, 2Department of Psychology
+Rutgers University – Newark, 101 Warren St., Newark, NJ, 07102 USA"

+1b2e50412ec151486912f0bfd01703c8ec46b5a7,A Geometric Approach to Face Detector Combining,"A Geometric Approach to Face Detector
+Combining⋆
+Nikolay Degtyarev and Oleg Seredin
+Tula State University
+http://lda.tsu.tula.ru"

+1b150248d856f95da8316da868532a4286b9d58e,Analyzing 3D Objects in Cluttered Images,"Analyzing 3D Objects in Cluttered Images
+Mohsen Hejrati
+UC Irvine
+Deva Ramanan
+UC Irvine"

+1be498d4bbc30c3bfd0029114c784bc2114d67c0,Age and Gender Estimation of Unfiltered Faces,"Age and Gender Estimation of Unfiltered Faces
+Eran Eidinger, Roee Enbar, Tal Hassner*"

+1b3505018e39a794eab032e7e313784b21be42e9,Saliency based Person Re-Identification in Video using Colour Features,"GRD Journals- Global Research and Development Journal for Engineering | Volume 1 | Issue 10 | September 2016
+ISSN: 2455-5703
+Saliency based Person Re-Identification in Video
+using Colour Features
+Srujy Krishna A U
+PG Student
+Shimy Joseph
+Assistant Professor
+Department of Computer Science and Engineering
+Department of Computer Science and Engineering
+Federal Institute Of Science and Technology
+Federal Institute Of Science and Technology"

+1bbec7190ac3ba34ca91d28f145e356a11418b67,Explorer Action Recognition with Dynamic Image Networks,"Action Recognition with Dynamic Image Networks
+Citation for published version:
+Bilen, H, Fernando, B, Gravves, E & Vedaldi, A 2017, 'Action Recognition with Dynamic Image Networks'
+IEEE Transactions on Pattern Analysis and Machine Intelligence. DOI: 10.1109/TPAMI.2017.2769085
+Digital Object Identifier (DOI):
+0.1109/TPAMI.2017.2769085
+Link:
+Link to publication record in Edinburgh Research Explorer
+Document Version:
+Peer reviewed version
+Published In:
+IEEE Transactions on Pattern Analysis and Machine Intelligence
+General rights
+Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s)
+nd / or other copyright owners and it is a condition of accessing these publications that users recognise and
+bide by the legal requirements associated with these rights.
+Take down policy
+The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer
+ontent complies with UK legislation. If you believe that the public display of this file breaches copyright please
+ontact providing details, and we will remove access to the work immediately and"

+1b3587363d37dd197b6adbcfa79d49b5486f27d8,Multimodal Grounding for Language Processing,"Multimodal Grounding for Language Processing
+Lisa Beinborn◦∗3
+Teresa Botschen∗(cid:52)
+Iryna Gurevych (cid:52)
+Language Technology Lab, University of Duisburg-Essen
+(cid:52) Ubiquitous Knowledge Processing Lab (UKP) and Research Training Group AIPHES
+Department of Computer Science, Technische Universit¨at Darmstadt
+www.ukp.tu-darmstadt.de"

+1ba61a4fedc217f7bd052d1b2904567c9985dc44,Person Re-identification for Improved Multi-person Multi-camera Tracking by Continuous Entity Association,"Person Re-identification for Improved
+Multi-person Multi-camera Tracking by
+Continuous Entity Association
+Neeti Narayan, Nishant Sankaran, Devansh Arpit, Karthik
+Dantu, Srirangaraj Setlur, Venu Govindaraju
+University at Buffalo"

+1b3d5d95e1fcded017f193f5cf9772bf8a1ed108,Using Keystroke Analytics to Improve Pass – Fail Classifiers,"(2017).	 Using
+nalytics
+http://dx.doi.org/10.18608/jla.2017.42.14
+keystrokes
+improve
+pass-fail
+lassifiers.
+Journal
+Learning	 Analytics,
+(2),
+89–211.
+Using Keystroke Analytics to Improve Pass–Fail Classifiers
+Kevin	Casey
+Maynooth	University,	Ireland"

+1b74479f6e597a33703a63161527d55cc5d3096f,Self-Supervised Model Adaptation for Multimodal Semantic Segmentation,"Self-Supervised Model Adaptation for Multimodal
+Semantic Segmentation
+Abhinav Valada · Rohit Mohan · Wolfram Burgard"

+1b92973843c3a791bb5ca5a68405c3ecb3473ded,Building Deep Networks on Grassmann Manifolds,"Building Deep Networks on Grassmann Manifolds
+Zhiwu Huang†, Jiqing Wu†, Luc Van Gool†‡
+Computer Vision Lab, ETH Zurich, Switzerland
+VISICS, KU Leuven, Belgium
+{zhiwu.huang, jiqing.wu,"

+1b300a7858ab7870d36622a51b0549b1936572d4,Dynamic Facial Expression Recognition With Atlas Construction and Sparse Representation,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TIP.2016.2537215, IEEE
+Transactions on Image Processing
+Dynamic Facial Expression Recognition with Atlas
+Construction and Sparse Representation
+Yimo Guo, Guoying Zhao, Senior Member, IEEE, and Matti Pietik¨ainen, Fellow, IEEE"

+1bea531e8271202462c7907f60a8458fa5aec00d,"Ein generisches System zur automatischen Detektion, Verfolgung und Wiedererkennung von Personen in Videodaten","Ein generisches System zur automatischen
+Detektion, Verfolgung und Wiedererkennung von
+Personen in Videodaten
+Zur Erlangung des akademischen Grades eines
+Doktor-Ingenieurs
+von der Fakult¨at f¨ur
+Bauingenieur-, Geo- und Umweltwissenschaften
+des Karlsruher Instituts f¨ur Technologie (KIT)
+(Institut f¨ur Photogrammetrie und Fernerkundung)
+genehmigte
+Dissertation
+Dipl.-Inform. Kai J¨ungling
+us Adenau
+Tag der m¨undlichen Pr¨ufung: 24.01.2011
+Referent: Prof. Dr.-Ing. Stefan Hinz
+Korreferent: Prof. Dr. rer. nat. Maurus Tacke
+Korreferent: Prof. Dr.-Ing. Christoph Stiller
+Karlsruhe 2011"

+1b6d2f8f9cbbf5e20e445a60cb7840a30975f297,Learning from Noisy Web Data with Category-level Supervision,"Learning from Noisy Web Data with Category-level
+Supervision
+Li Niu, Qingtao Tang, Ashok Veeraraghavan, and Ashu Sabharwal"

+1b90507f02967ff143fce993a5abbfba173b1ed0,Gradient-DCT (G-DCT) descriptors,"Image Processing Theory, Tools and Applications
+Gradient-DCT (G-DCT) Descriptors
+Radovan Fusek, Eduard Sojka
+Technical University of Ostrava, FEECS, Department of Computer Science,
+7. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic
+e-mail:"

+1b7b95ee13d91e9c768de6417a8919f2a3384599,A Probabilistic U-Net for Segmentation of Ambiguous Images,"A Probabilistic U-Net for Segmentation of Ambiguous
+Images
+Simon A. A. Kohl1∗,2,, Bernardino Romera-Paredes1, Clemens Meyer1, Jeffrey De Fauw1,
+Joseph R. Ledsam1, Klaus H. Maier-Hein2, S. M. Ali Eslami1, Danilo Jimenez Rezende1, and
+Olaf Ronneberger1
+Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany
+DeepMind, London, UK"

+1bd80812c58de8cb0127aea915a45ebbff42dc3b,Twins 3D face recognition challenge,"Twins 3D Face Recognition Challenge
+Vipin Vijayan 1, Kevin W. Bowyer 1, Patrick J. Flynn 1, Di Huang 2, Liming Chen 2,
+Mark Hansen 3, Omar Ocegueda 4, Shishir K. Shah 4, Ioannis A. Kakadiaris 4"

+1ba20398e3b0154730590217a0988fbbab19e927,Doubly weighted nonnegative matrix factorization for imbalanced face recognition,"978-1-4244-2354-5/09/$25.00 ©2009 IEEE
+ICASSP 2009"

+1b6afc2cdf931a02df46d5052b4409c770ef8660,An Approach to Analyse Facial Expression from Videos using Pyramid Histogram of Orientation Gradients,"International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622
+International Conference on Industrial Automation and Computing (ICIAC- 12-13th April 2014)
+RESEARCH ARTICLE
+OPEN ACCESS
+An Approach to Analyse Facial Expression from Videos using
+Pyramid Histogram of Orientation Gradients
+Ashish D. Lonare1, Shweta V. Jain2
+Department of Computer Science and Engineering,  Shri Ramdeobaba College of Engineering and
+Management Nagpur, India
+Department of Computer Science and Engineering,  Shri Ramdeobaba College of Engineering and
+Management Nagpur, India"

+1b1173a3fb33f9dfaf8d8cc36eb0bf35e364913d,Registration Invariant Representations for Expression Detection,"DICTA
+DICTA 2010 Submission #147. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
+Registration Invariant Representations for Expression Detection
+Anonymous DICTA submission
+Paper ID 147"

+1b0a071450c419138432c033f722027ec88846ea,Looking at faces in a vehicle: A deep CNN based approach and evaluation,"Windsor Oceanico Hotel, Rio de Janeiro, Brazil, November 1-4, 2016
+978-1-5090-1889-5/16/$31.00 ©2016 IEEE"

+1b224ad99c42e696b6d98c05a87f1738e28c6c5e,A Markov Random Field Groupwise Registration Framework for Face Recognition,"A Markov Random Field Groupwise Registration
+Framework for Face Recognition
+Shu Liao, Dinggang Shen, and Albert C.S. Chung"

+1b3b01513f99d13973e631c87ffa43904cd8a821,HMM recognition of expressions in unrestrained video intervals,"HMM RECOGNITION OF EXPRESSIONS IN UNRESTRAINED VIDEO INTERVALS
+José Luis Landabaso, Montse Pardàs, Antonio Bonafonte
+Universitat Politècnica de Catalunya, Barcelona, Spain"

+1b71e4b59358ed7ecf6117e19fc944307e58a7af,3 D Spectral Nonrigid Registration of Facial Expression Scans,"IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
+D Spectral Nonrigid Registration of
+Facial Expression Scans
+Gabriel L. Cuendet, Student member, IEEE, Christophe Ecabert, Marina Zimmermann, Student
+member, IEEE, Hazım K. Ekenel, and Jean-Philippe Thiran, Senior Member, IEEE"

+1b2568de7363a9f46094b9cac82f4fe2ec1a4f56,Detection of Fragmented Rectangular Enclosures in Very High Resolution Remote Sensing Images,"Detection of Fragmented Rectangular Enclosures in
+Very High Resolution Remote Sensing Images
+Igor Zingman, Dietmar Saupe, Otávio A. B. Penatti, and Karsten Lambers"

+1b2297ba37fece76568c8b53369e6fd34d63175a,High-Resolution 3D Layout from a Single View,"High-Resolution 3D Layout from a Single View
+M. Zeeshan Zia1, Michael Stark2, and Konrad Schindler1
+Photogrammetry and Remote Sensing, ETH Z¨urich, Switzerland
+Stanford University and Max Planck Institute for Informatics"

+1be18a701d5af2d8088db3e6aaa5b9b1d54b6fd3,Enhancement of Fast Face Detection Algorithm Based on a Cascade of Decision Trees,"ENHANCEMENT OF FAST FACE DETECTION ALGORITHM BASED ON A CASCADE OF
+DECISION TREES
+V. V. Khryashchev a, *, A. A. Lebedev a, A. L. Priorov a
+YSU, Yaroslavl, Russia - (vhr,
+Commission II, WG II/5
+KEY WORDS: Face Detection, Cascade Algorithm, Decision Trees."

+1bb73d8f1224a846473d0a2ddc4289ae3e21b61c,A joint particle filter to track the position and head orientation of people using audio visual cues,"© EURASIP, 2010   ISSN 2076-1465
+8th European Signal Processing Conference (EUSIPCO-2010)
+INTRODUCTION"

+1b70bbf7cdfc692873ce98dd3c0e191580a1b041,Enhancing Performance of Face Recognition System Using Independent Component Analysis,"International Research Journal of Engineering and Technology (IRJET)        e-ISSN: 2395 -0056
+Volume: 03 Issue: 10 | Oct -2016                      www.irjet.net                                                                 p-ISSN: 2395-0072
+Enhancing Performance of Face Recognition
+System Using Independent Component Analysis
+Dipti Rane1, Prof. Uday Bhave2, and Asst Prof. Manimala Mahato3
+Student, Computer Science, Shah and Anchor Kuttchi Engineering College, Mumbai, India 1
+Guide, HOD, Computer Science, Shah and Anchor Kuttchi Engineering College, Mumbai, India 2
+Co-Guide, Assistant Prof., Computer Science, Shah and Anchor Kuttchi Engineering College, Mumbai, India 3
+---------------------------------------------------------------------***---------------------------------------------------------------------
+ards, tokens and keys. Biometric based methods examine"

+1b2dd300a43d0553f1deb578d9aea45d99472136,TABIA et al.: FAST APPROXIMATION OF DISTANCE BETWEEN ELASTIC CURVES USING KERNELS,

+1b4424e06ac29b72535727b92f261f39d065e858,3D Pictorial Structures Revisited: Multiple Human Pose Estimation,"D Pictorial Structures Revisited:
+Multiple Human Pose Estimation
+Vasileios Belagiannis, Sikandar Amin, Mykhaylo Andriluka,
+Bernt Schiele, Nassir Navab, and Slobodan Ilic"

+1bf0b5186af083117af136dfcb08ed28828664d0,"Deep Filter Banks for Texture Recognition, Description, and Segmentation","Int J Comput Vis
+DOI 10.1007/s11263-015-0872-3
+Deep Filter Banks for Texture Recognition, Description,
+nd Segmentation
+Mircea Cimpoi1 · Subhransu Maji2 · Iasonas Kokkinos3 · Andrea Vedaldi1
+Received: 4 June 2015 / Accepted: 20 November 2015
+© The Author(s) 2015. This article is published with open access at Springerlink.com"

+1b71d3f30238cb6621021a95543cce3aab96a21b,Fine-grained Video Classification and Captioning,"Fine-grained Video Classification and Captioning
+Farzaneh Mahdisoltani1,2, Guillaume Berger2, Waseem Gharbieh2
+David Fleet1, Roland Memisevic2
+{farzaneh,
+University of Toronto1, Twenty Billion Neurons2"

+1b807b6abaeef68edfbdc4200e198bf4e9613198,Image Processing Pipeline for Facial Expression Recognition under Variable Lighting,"Image Processing Pipeline for Facial Expression Recognition under Variable
+Lighting
+Ralph Ma, Amr Mohamed"

+1b4f6f73c70353869026e5eec1dd903f9e26d43f,Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels,"Robust Subjective Visual Property Prediction
+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

+1b0548e52a1ffc7ebffe5200e2111525c9f7fd4a,Novel Views of Objects from a Single Image,"Novel Views of Objects from a Single Image
+Konstantinos Rematas, Chuong Nguyen, Tobias Ritschel, Mario Fritz, and Tinne Tuytelaars"

+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"

+1b7a0fffb5ee96adece2f6079f5e9ab79c3bc50e,Spigan: Privileged Adversarial Learning,"Under review as a conference paper at ICLR 2019
+SPIGAN: PRIVILEGED ADVERSARIAL LEARNING
+FROM SIMULATION
+Anonymous authors
+Paper under double-blind review"

+7711a7404f1f1ac3a0107203936e6332f50ac30c,Action Classification and Highlighting in Videos,"Action Classification and Highlighting in Videos
+Atousa Torabi
+Disney Research Pittsburgh
+Leonid Sigal
+Disney Research Pittsburgh"

+77ad2727065cb3dc5c91975604af01c82ec5c9f6,Convolutional Neural Networks for Disaster Images Retrieval,"Convolutional Neural Networks for Disaster Images Retrieval
+Sheharyar Ahmad1,Kashif Ahmad2, Nasir Ahmad1, Nicola Conci2
+DCSE, UET Peshawar, Pakistan
+DISI-University of Trento, Trento"

+776c5e37eecd26049ae31f56b3249c390e25e4e9,Angry and Beautiful: The Interactive Effect of Facial Expression and Attractiveness on Time Perception,"Psihologijske teme, 25, 2016 (2), 299-315
+Izvorni znanstveni rad – UDK –159.925.072
+59.937.072:115
+Angry and Beautiful: The Interactive Effect of Facial
+Expression and Attractiveness on Time Perception
+Jasmina Tomas
+Department of Psychology, Faculty of Humanities and Social Sciences,
+University of Zagreb, Croatia
+Ana Marija Španić
+Child Protection Center of Zagreb, Zagreb, Croatia"

+770b3855cdd15b49c89e4053b6cedafe53cecd6f,Improved Face Recognition Using Pseudo 2 - DHidden,"ImprovedFaceRecognitionUsingPseudo-D
+HiddenMarkovModels
+StefanEickeler,StefanM(cid:127)uller,GerhardRigoll
+Gerhard-Mercator-UniversityDuisburg
+DepartmentofComputerScience
+FacultyofElectricalEngineering
+
+-ti.uni-duisburg.de"

+778c9f88839eb26129427e1b8633caa4bd4d275e,Pose pooling kernels for sub-category recognition,"Pose Pooling Kernels for Sub-category Recognition
+Ning Zhang
+ICSI & UC Berkeley
+Ryan Farrell
+ICSI & UC Berkeley
+Trever Darrell
+ICSI & UC Berkeley"

+7789a5d87884f8bafec8a82085292e87d4e2866f,A Unified Tensor-based Active Appearance Face Model,"A Unified Tensor-based Active Appearance Face
+Model
+Zhen-Hua Feng, Member, IEEE, Josef Kittler, Life Member, IEEE, William Christmas, and Xiao-Jun Wu,
+Member, IEEE"

+779f67f2fe406828bbe7a19e8736cb5fd309e321,Fine-Grained Recognition in the Wild: A Multi-task Domain Adaptation Approach,"Fine-grained Recognition in the Wild:
+A Multi-Task Domain Adaptation Approach
+Timnit Gebru
+Judy Hoffman
+Li Fei-Fei
+CS Department Stanford University
+{tgebru, jhoffman,"

+771a9e7dc747fa2282815a4863502183f4e887c8,Efficient Bootsrapping and Query Adaptive Ranking for Image Search,"The International Journal Of Science & Technoledge      (ISSN  2321 – 919X)
+www.theijst.com
+THE INTERNATIONAL JOURNAL OF
+SCIENCE & TECHNOLEDGE
+Efficient Bootsrapping and Query Adaptive Ranking for Image Search
+A. A. R. Senthilkumar
+Head of the Department, Department of Master of Computer Application
+PGP College of Engineering and Technology, Namakkal
+P. Mayuri
+Department of Computer Science and Engineering
+PGP College of Engineering and Technology, Namakkal"

+774c8945ccf0f5315482abb8cf84ac5d37c60aa0,A Comparative Study of Feature Extraction Methods in Images Classification,"I.J. Image, Graphics and Signal Processing, 2015, 3, 16-23
+Published Online February 2015 in MECS (http://www.mecs-press.org/)
+DOI: 10.5815/ijigsp.2015.03.03
+A Comparative Study of Feature Extraction
+Methods in Images Classification
+University of Sciences and Technology Mohamed Boudiaf USTO-MB, Faculty of Mathematics and Computer Science,
+Seyyid Ahmed Medjahed
+Oran, 31000, Algeria
+Email:"

+778952cc94d5baa5132ffbe2cf342f80032f5f73,Comparative Analysis of Techniques for the Recognition of Stabbed Wound and Accidental Wound Patterns,"International Journal of Computer Applications (0975 – 8887)
+Volume 182 – No. 13, September 2018
+Comparative Analysis of Techniques for the Recognition
+of Stabbed Wound and Accidental Wound Patterns
+Dayanand G. Savakar
+Department of Computer Science
+Rani Channamma University, Belagavi
+INDIA
+schemas  of"

+7711330fb88e2522a5779a09c1622b75557f9254,Real-time detection and tracking of pedestrians in CCTV images using a deep convolutional neural network,"Real-time detection and tracking of pedestrians in
+CCTV images using a deep convolutional neural network
+Debaditya Acharya
+Kourosh Khoshelham
+Stephan Winter
+Infrastructure Engineering, The University of Melbourne"

+77882930692d41db107430a5a524ff5e4bb2ee5c,Hyperbolic Attention Networks,"Hyperbolic Attention Networks
+Caglar Gulcehre Misha Denil Mateusz Malinowski Ali Razavi
+Razvan Pascanu Karl Moritz Hermann
+Peter Battaglia Victor Bapst
+David Raposo Adam Santoro Nando de Freitas
+Deepmind"

+77e69753fc7cf007a136b12f102e1e11a93f87f5,Head and Body Orientation Estimation Using Convolutional Random Projection Forests.,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TPAMI.2017.2784424, IEEE
+Transactions on Pattern Analysis and Machine Intelligence
+Head and Body Orientation Estimation Using
+Convolutional Random Projection Forests
+Donghoon Lee, Ming-Hsuan Yang, and Songhwai Oh∗"

+7730fd15ff14dd84d71f965bfeab8e4d790d91d8,SpaRTA - Tracking across occlusions via global partitioning of 3D clouds of points,"SpaRTA
+Tracking across occlusions via global
+partitioning of 3D clouds of points
+Andrea Cavagna, Stefania Melillo, Leonardo Parisi, Federico Ricci-Tersenghi"

+778bff335ae1b77fd7ec67404f71a1446624331b,Hough Forest-Based Facial Expression Recognition from Video Sequences,"Hough Forest-based Facial Expression Recognition from
+Video Sequences
+Gabriele Fanelli, Angela Yao, Pierre-Luc Noel, Juergen Gall, and Luc Van Gool
+BIWI, ETH Zurich http://www.vision.ee.ethz.ch
+VISICS, K.U. Leuven http://www.esat.kuleuven.be/psi/visics"

+776b77306bdb852c89a22ba142fb57c8e8bb7bb5,Efficient On-Board Stereo Vision Pose Estimation,"Ef‌f‌icient On-Board Stereo Vision
+Pose Estimation(cid:2)
+Angel D. Sappa1, Fadi Dornaika2, David Ger´onimo1, and Antonio L´opez1
+Computer Vision Center, Edifici O Campus UAB
+08193 Bellaterra, Barcelona, Spain
+{asappa, dgeronimo,
+Institut G´eographique National
+94165 Saint Mand´e, France"

+7726a6ab26a1654d34ec04c0b7b3dd80c5f84e0d,Content-aware compression using saliency-driven image retargeting,"CONTENT-AWARE COMPRESSION USING SALIENCY-DRIVEN IMAGE RETARGETING
+Fabio Z¨und*†, Yael Pritch*, Alexander Sorkine-Hornung*, Stefan Mangold*, Thomas Gross†
+*Disney Research Zurich
+ETH Zurich"

+7754b708d6258fb8279aa5667ce805e9f925dfd0,Facial Action Unit Recognition by Exploiting Their Dynamic and Semantic Relationships,"Facial Action Unit Recognition by Exploiting
+Their Dynamic and Semantic Relationships
+Yan Tong, Student Member, IEEE, Wenhui Liao, Member, IEEE, and Qiang Ji, Senior Member, IEEE"

+77db171a523fc3d08c91cea94c9562f3edce56e1,Gauss-Laguerre wavelet textural feature fusion with geometrical information for facial expression identification,"Poursaberi et al. EURASIP Journal on Image and Video Processing 2012, 2012:17
+http://jivp.eurasipjournals.com/content/2012/1/17
+R ES EAR CH
+Open Access
+Gauss–Laguerre wavelet textural feature fusion
+with geometrical information for facial expression
+identification
+Ahmad Poursaberi1*, Hossein Ahmadi Noubari2, Marina Gavrilova1 and Svetlana N Yanushkevich1"

+77037a22c9b8169930d74d2ce6f50f1a999c1221,Robust Face Recognition With Kernelized Locality-Sensitive Group Sparsity Representation,"Robust Face Recognition With Kernelized
+Locality-Sensitive Group Sparsity  Representation
+Shoubiao Tan, Xi Sun, Wentao Chan, Lei Qu, and Ling    Shao"

+7714a5aa27ab5ad4d06a81fbb3e973d3b1002ac1,SSD-Sface : Single shot multibox detector for small faces,"SSD-Sface: Single shot multibox detector for small faces
+C. Thuis"

+77cb6ea4feff6f44e9977cc7572185d24e48ce40,On the Complementarity of Face Parts for Gender Recognition,"On the Complementarity of Face Parts for
+Gender Recognition
+Yasmina Andreu and Ram´on A. Mollineda
+Dept. Llenguatges i Sistemes Inform`atics
+Universitat Jaume I. Castell´o de la Plana, Spain"

+775c15a5dfca426d53c634668e58dd5d3314ea89,Image Quality-aware Deep Networks Ensemble for Efficient Gender Recognition in the Wild,

+779ad364cae60ca57af593c83851360c0f52c7bf,Steerable Pyramids Feature Based Classification Using Fisher Linear Discriminant for Face Recognition,"Steerable Pyramids Feature Based Classification Using Fisher
+Linear Discriminant for Face Recognition
+EL AROUSSI MOHAMED1
+EL HASSOUNI MOHAMMED12
+GHOUZALI SANAA1
+RZIZA MOHAMMED1
+ABOUTAJDINE DRISS1
+GSCM-LRIT, Faculty of Sciences, Mohammed V University-Agdal, Rabat, Morocco
+DESTEC, FLSHR Mohammed V University-Agdal, Rabat, Morocco
+PO.Box 1014, Rabat, Morocco"

+77b11260154e13e33c84599feba4cdc4f781bf71,Building User Profiles from Shared Photos,Building User Profiles from Shared Photos

+7793c7431f3ddce74fe2d444df614d8d8fd9af4a,A Review of Neural Network based Semantic Segmentation for Scene Understanding in Context of the self driving Car,"A Review of Neural Network based Semantic Segmentation for
+Scene Understanding in Context of the self driving Car
+J. Niemeijer1, P. Pekezou Fouopi2, S. Knake-Langhorst2, and E. Barth3
+Medizinische Informatik, Universität zu Lübeck,
+German Aerospace Center, Braunschweig,
+Institute of Neuro- and Bioinformatics, Universität zu Lübeck,"

+77dc158a979731d2ed01145b1d3ead34a6c33487,Preference for geometric patterns early in life as a risk factor for autism.,"ORIGINAL ARTICLE
+ONLINE FIRST
+Preference for Geometric Patterns Early in Life
+s a Risk Factor for Autism
+Karen Pierce, PhD; David Conant; Roxana Hazin, BS; Richard Stoner, PhD; Jamie Desmond, MPH
+Context: Early identification efforts are essential for the
+early treatment of the symptoms of autism but can only oc-
+ur if robust risk factors are found. Children with autism
+often engage in repetitive behaviors and anecdotally pre-
+fertovisuallyexaminegeometricrepetition,suchasthemov-
+ing blade of a fan or the spinning of a car wheel. The ex-
+tent to which a preference for looking at geometric repeti-
+tion is an early risk factor for autism has yet to be examined.
+Objectives: To determine if toddlers with an autism spec-
+trum disorder (ASD) aged 14 to 42 months prefer to vi-
+sually examine dynamic geometric images more than so-
+ial images and to determine if visual fixation patterns
+an correctly classify a toddler as having an ASD.
+Design: Toddlers were presented with a 1-minute movie
+depicting moving geometric patterns on 1 side of a video"

+77851ca35105ebe007d99e5d78ceb3473491071c,Spatiotemporal Stacked Sequential Learning for Pedestrian Detection,"Spatiotemporal Stacked Sequential Learning for Pedestrian Detection
+Alejandro Gonz´alez1
+Sebastian Ramos1
+David V´azquez1
+Antonio M. L´opez1
+Jaume Amores1
+Computer Vision Center, Barcelona
+Universitat Aut`onoma de Barcelona
+United Technologies Research Center"

+77351eaeb65e374a4d1e54acc28fea426670e364,Compression Based Face Recognition Using Transform Domain Features Fused at Matching Level,"Signal & Image Processing : An International Journal (SIPIJ) Vol.8, No.4, August 2017
+COMPRESSION BASED FACE RECOGNITION
+USING TRANSFORM DOMAIN FEATURES
+FUSED AT MATCHING LEVEL
+Srinivas Halvia, Nayina Ramapurb , K B Rajac and Shanti Prasadd
+Dayananda Sagar College of Engineering, Bangalore, India.
+Sai-Tektronix Pvt. Ltd., Bangalore, India.
+University Visvesvaraya College of Engineering, Bangalore, India.
+dK.S. Institute of Technology, Bangalore, India."

+77052654a37b88719c014c5afd3db89cb2288aeb,Lung Cancer Prediction Using Neural Network Ensemble with Histogram of Oriented Gradient Genomic Features,"Hindawi Publishing Corporation
+e Scientific World Journal
+Volume 2015, Article ID 786013, 17 pages
+http://dx.doi.org/10.1155/2015/786013
+Research Article
+Lung Cancer Prediction Using Neural Network Ensemble with
+Histogram of Oriented Gradient Genomic Features
+Emmanuel Adetiba and Oludayo O. Olugbara
+ICT and Society Research Group, Durban University of Technology, P.O. Box 1334, Durban 4000, South Africa
+Correspondence should be addressed to Oludayo O. Olugbara;
+Received 12 December 2014; Accepted 29 January 2015
+Academic Editor: Alexander Schonhuth
+Copyright © 2015 E. Adetiba and O. O. Olugbara. 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.
+This paper reports an experimental comparison of artificial neural network (ANN) and support vector machine (SVM) ensembles
+nd their “nonensemble” variants for lung cancer prediction. These machine learning classifiers were trained to predict lung cancer
+using samples of patient nucleotides with mutations in the epidermal growth factor receptor, Kirsten rat sarcoma viral oncogene,
+nd tumor suppressor p53 genomes collected as biomarkers from the IGDB.NSCLC corpus. The Voss DNA encoding was used to
+map the nucleotide sequences of mutated and normal genomes to obtain the equivalent numerical genomic sequences for training"

+77c81c13a110a341c140995bedb98101b9e84f7f,WILDTRACK : A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection,"WILDTRACK: A Multi-camera HD Dataset for
+Dense Unscripted Pedestrian Detection
+Tatjana Chavdarova1, Pierre Baqu´e2, St´ephane Bouquet2,
+Andrii Maksai2, Cijo Jose1, Timur Bagautdinov2, Louis Lettry3,
+Pascal Fua2, Luc Van Gool3, and Franc¸ois Fleuret1
+Machine Learning group, Idiap Research Institute & ´Ecole Polytechnique F´ed´erale de Lausanne
+CVLab, ´Ecole Polytechnique F´ed´erale de Lausanne
+Computer Vision Lab, ETH Zurich"

+771b7d76df1ed476dea859034a276f14ad1e49f1,Multi-scale elastic graph matching for face detection,"Sato and Kuriya EURASIP Journal on Advances in Signal Processing 2013, 2013:175
+http://asp.eurasipjournals.com/content/2013/1/175
+REVIEW
+Open Access
+Multi-scale elastic graph matching for face
+detection
+Yasuomi D Sato1,2,3* and Yasutaka Kuriya1"

+77d31d2ec25df44781d999d6ff980183093fb3de,The Multiverse Loss for Robust Transfer Learning,"The Multiverse Loss for Robust Transfer Learning
+Supplementary
+. Omitted proofs
+for which the joint loss:
+m(cid:88)
+L(F r, br, D, y)
+J(F 1, b1...F m, bm, D, y) =
+is bounded by:
+mL∗(D, y) ≤ J(F 1, b1...F m, bm, D, y)
+m−1(cid:88)
+≤ mL∗(D, y) +
+Alλd−j+1
+where [A1 . . . Am−1] are bounded parameters.
+We provide proofs that were omitted from the paper for
+lack of space. We follow the same theorem numbering as in
+the paper.
+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)"

+77d4843a177031b2b5721824280033e2e601334c,Comparative Evaluation of 3D versus 2D Modality for Automatic Detection of Facial Action Units,"Author’s Accepted Manuscript
+Comparative Evaluation of 3D versus 2D Modality
+for Automatic Detection of Facial Action Units
+Arman Savran, Bülent Sankur, M. Taha Bilge
+Reference:
+S0031-3203(11)00310-4
+doi:10.1016/j.patcog.2011.07.022
+PR 4228
+To appear in:
+Pattern Recognition
+Received date:
+Revised date:
+Accepted date:
+3 November 2010
+5 July 2011
+9 July 2011
+www.elsevier.com/locate/pr
+Cite this article as: Arman Savran, Bülent Sankur and M. Taha Bilge, Comparative Eval-
+uation of 3D versus 2D Modality for Automatic Detection of Facial Action Units, Pattern
+Recognition, doi:10.1016/j.patcog.2011.07.022"

+77fb0266b354d33f3725629c2ddce3d2342b318a,Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy?,"Is Attribute-Based Zero-Shot Learning
+n Ill-Posed Strategy?
+Ibrahim Alabdulmohsin1, Moustapha Cisse2, and Xiangliang Zhang1(B)
+Computer, Electrical and Mathematical Sciences and Engineering Division,
+King Abdullah University of Science and Technology (KAUST),
+Thuwal 23955-6900, Saudi Arabia
+Facebook Artificial Intelligence Research (FAIR), Menlo Park, USA
+http://mine.kaust.edu.sa"

+77c7f5c5852c189b59c34ebbbbec03e5e4060428,Talking to Robots: Learning to Ground Human Language in Perception and Execution,"(cid:13)Copyright 2014
+Cynthia Matuszek"

+482769e4c4cf832128b52f1bdff873af1eee8ba8,Robust Face Detection using Fusion of Haar and Daubechies Orthogonal Wavelet Template,"International Journal of Computer Applications (0975 – 8887)
+Volume 46– No.6, May 2012
+Robust Face Detection using Fusion of Haar and
+Daubechies Orthogonal Wavelet Template
+Chirag I Patel
+Sanjay Garg
+Research scholar, Institute of Technology,
+Professor, Institute of Technology,
+Nirma University, Ahmedabad, Gujarat, India
+Nirma University, Ahmedabad, Gujarat, India"

+48186494fc7c0cc664edec16ce582b3fcb5249c0,P-CNN: Pose-Based CNN Features for Action Recognition,"P-CNN: Pose-based CNN Features for Action Recognition
+Guilhem Ch´eron∗ †
+Ivan Laptev∗
+INRIA
+Cordelia Schmid†"

+48499deeaa1e31ac22c901d115b8b9867f89f952,Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition,"Interim Report of Final Year Project
+HKU-Face: A Large Scale Dataset for
+Deep Face Recognition
+Haicheng Wang
+035140108
+Haoyu Li
+035141841
+COMP4801 Final Year Project
+Project Code: 17007"

+486a82f50835ea888fbc5c6babf3cf8e8b9807bc,Face Search at Scale: 80 Million Gallery,"MSU TECHNICAL REPORT MSU-CSE-15-11, JULY 24, 2015
+Face Search at Scale: 80 Million Gallery
+Dayong Wang, Member, IEEE, Charles Otto, Student Member, IEEE, Anil K. Jain, Fellow, IEEE"

+48fb35946641351f7480a5b88567aae59e526d82,Generating faces for affect analysis,"Noname manuscript No.
+(will be inserted by the editor)
+Generating faces for affect analysis
+Dimitrios Kollias (cid:63) · Shiyang Cheng † · Evangelos Ververas ∗ · Irene
+Kotsia1 · Stefanos Zafeiriou2
+Received: Sept 30th 2018 / Accepted: date"

+48b38d157272f03f6b44c0df61130534d11d8569,Natural Language Guided Visual Relationship Detection,"oard)(person-behind-kid)(skate board-on-street)(person-sit on-street)...ImageVisual relationshipsFigure1:Visualrelationshipsrepresenttheinteractionsbe-tweenobservedobjects.Eachrelationshiphasthreeele-ments:subject,predicateandobject.HereisanexampleimagefromVisualGenome[17].Ourproposedmethodisabletoeffectivelydetectnumerouskindsofdifferentrela-tionshipsfromsuchimage.objectsinimages.Therelationshipscanberepresentedinatripletformofhsubject-predicate-objecti,e.g.,hkid-on-skateboardi,asshowninFig.1.Anaturalapproachforthistaskistotreatitasaclassificationproblem:eachkindofrelationships/phraseisarelationcategory[32],asshowninFig.2.Totrainsuchreliableandrobustmodel,suffi-cienttrainingsamplesforeachpossiblehsubject-predicate-objecticombinationareessential.ConsidertheVisualRe-lationshipDataset(VRD)[24],withN=100objectcate-goriesandK=70predicates,thenthereareN2K=700kcombinationsintotal.However,itcontainsonly38kre-lationships,whichmeansthateachcombinationhaslessthan1sampleonaverage.Thepreviousclassification-basedworkscanonlydetectthemostcommonrelationships,e.g.,[32]studiedonly13frequentrelationships.Anotherpopularstrategyistodetecttherelationshippredicatesandtheobjectcategoriesindependently.Al-thoughthenumberofcategoriesdecreasesdramatically,thesemanticrelationshipbetweentheobjectsandthepredi-catesareignored.Consequently,thephrasewhichhasthesamepredicatebutdifferentagentsisconsideredasthesametypeofrelationship.Forinstance,the”clock-on-1"

+485e0d178bafa959ac956aa8de6556a2439c6663,Learning from Examples to Generalize over Pose and Illumination,"Learning from Examples to Generalize over Pose
+nd Illumination
+Marco K. M¨uller and Rolf P. W¨urtz
+Institute f¨ur Neural Computation, Ruhr-University, 44780 Bochum, Germany"

+483ca50670c5f7d33f7c722dd71105327a30ea60,Improving object classification using semantic attributes,"SU, ALLAN, JURIE: SEMANTIC ATTRIBUTES
+Improving object classification
+using semantic attributes
+Yu Su
+http://users.info.unicaen.fr/~ysu/
+Moray Allan
+http://users.info.unicaen.fr/~mallan/
+Frédéric Jurie
+http://users.info.unicaen.fr/~jurie/
+GREYC
+Université de Caen
+4032 Caen Cedex
+France"

+4839f861709e6ae6d4d032228473ce1764acbdcc,Finding Egocentric Image Topics through Convolutional Neural Network Based Representations,"Finding Egocentric Image Topics through Convolutional Neural Network Based Representations
+Kai Zhen, David Crandall
+School of Informatics and Computing, Indiana University.
+Life-logging cameras create huge collections of photos, even for a single
+person on a single day [1, 6], which makes it difficult for users to browse
+or organize their photos effectively. Unlike text corpora in which words
+reate intermediate representations that carry semantic meaning for higher-
+level concepts such as topics, images have no such obvious intermediate
+representation to connect raw pixels and semantics. Egocentric photos are
+particularly challenging because they were taken opportunistically, so they
+re often blurry and poorly-composed compared to consumer-style images.
+This paper applies topic modeling on deep features to extract visual
+“concept clusters” from egocentric datasets. We discretize features to form
+better analogy to the word-document model, which we find yields faster
+onvergence during inference. We also find that removing frequent, less in-
+formative features helps to prevent outliers and improve the semantic mean-
+ing of extracted topics, analogous to removing stop words in the text mining
+domain. In a generative process similar to that proposed in LDA [2], we
+model an image as being generated by first choosing topics, and then sam-
+pling features (visual words) from selected topics,"

+4850af6b54391fc33c8028a0b7fafe05855a96ff,Discovering useful parts for pose estimation in sparsely annotated datasets,"Discovering Useful Parts for Pose Estimation in Sparsely Annotated Datasets
+Mikhail Breslav1, Tyson L. Hedrick2, Stan Sclaroff1, and Margrit Betke1
+Department of Computer Science and 2Department of Biology
+Boston University and 2University of North Carolina"

+485eb41be3ce1600e9934167808b0319a6c3ec2f,A Novel Structural-Description Approach for Image Retrieval,"A Novel Structural-Description Approach For
+Image Retrieval
+Christoph Rasche, Constantin Vertan
+Laboratorul de Analiza si Prelucrarea Imaginilor
+Universitatea Politehnica din Bucuresti
+Bucuresti 061071, RO"

+48c0059feb14ca3deedfa7e3b53fbc34bd6d8efb,Facial Expression Retrieval Using 3-Dimensional Mesh Sequences,"Facial Expression Retrieval Using
+-Dimensional Mesh Sequences
+Danelakis E. Antonios*
+National and Kapodistrian University of Athens
+Department of Informatics and Telecommunications"

+48b4f49ec708677fc9f70edc74fd0f92ef986406,CS168: The Modern Algorithmic Toolbox Lecture #6: Stochastic Gradient Descent and Regularization,"CS168: The Modern Algorithmic Toolbox
+Lecture #6: Stochastic Gradient Descent and
+Regularization
+Tim Roughgarden & Gregory Valiant∗
+April 13, 2016
+Context
+Last lecture we covered the basics of gradient descent, with an emphasis on the intuition
+ehind and geometry underlying the method, plus a concrete instantiation of it for the
+problem of linear regression (fitting the best hyperplane to a set of data points). This basic
+method is already interesting and useful in its own right (see Homework #3).
+This lecture we’ll cover two extensions that, while simple, will bring your knowledge a step
+loser to the state-of-the-art in modern machine learning. The two extensions have different
+haracters. The first concerns how to actually solve (computationally) a given unconstrained
+minimization problem, and gives a modification of basic gradient descent — “stochastic
+gradient descent” — that scales to much larger data sets. The second extension concerns
+problem formulation rather than implementation, namely the choice of the unconstrained
+optimization problem to solve (i.e., the objective function f ). Here, we introduce the idea
+of “regularization,” with the goal of avoiding overfitting the function learned to the data set
+t hand, even for very high-dimensional data.
+Recap"

+4871300f1e5a58ce920e6b5be14e89c5da4aa4c4,Manifold Learning for Video-to-Video Face Recognition,"Manifold Learning for Video-to-Video Face
+Recognition"

+48d299fe3303c80f840816fc76971a42b4a8b624,Predicting Important Objects for Egocentric Video Summarization,"http://dx.doi.org/10.1007/s11263-014-0794-5
+Predicting Important Objects for Egocentric Video Summarization
+Yong Jae Lee · Kristen Grauman
+Received: date / Accepted: date"

+488676e61fcf7b79d83c25fb103c8d8a854d8987,Leveraging Convolutional Pose Machines for Fast and Accurate Head Pose Estimation,"Leveraging Convolutional Pose Machines
+for Fast and Accurate Head Pose Estimation
+Yuanzhouhan Cao1, Olivier Can´evet 1 and Jean-Marc Odobez1,2"

+48a5b6ee60475b18411a910c6084b3a32147b8cd,Pedestrian Attribute Recognition with Part-based CNN and Combined Feature Representations,"Pedestrian attribute recognition with part-based CNN
+nd combined feature representations
+Yiqiang Chen, Stefan Duffner, Andrei Stoian, Jean-Yves Dufour, Atilla
+Baskurt
+To cite this version:
+Yiqiang Chen, Stefan Duffner, Andrei Stoian, Jean-Yves Dufour, Atilla Baskurt. Pedestrian attribute
+recognition with part-based CNN and combined feature representations. VISAPP2018, Jan 2018,
+Funchal, Portugal. <hal-01625470>
+HAL Id: hal-01625470
+https://hal.archives-ouvertes.fr/hal-01625470
+Submitted on 21 Jun 2018
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,"

+486e5c2996726ec0f7c37077a2752dc4bd8c1413,Linearized Smooth Additive Classifiers,"Linearized Smooth Additive Classifiers
+Subhransu Maji
+Toyota Technological Institute at Chicago,
+Chicago, IL 60637, USA"

+480810001ed845ec04a20b00461a8a82fcffbb52,Autistic Traits and Brain Activation during Face-to-Face Conversations in Typically Developed Adults,"Autistic Traits and Brain Activation during Face-to-Face
+Conversations in Typically Developed Adults
+Masashi Suda, Yuichi Takei, Yoshiyuki Aoyama, Kosuke Narita, Noriko Sakurai, Masato Fukuda*,
+Masahiko Mikuni
+Department of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Gunma, Japan"

+488493dc29c844b36660395266d8d347c7cfa9ce,Towards Flexible Classification: Cost-Aware Online Query of Cascades and Operating Points,"Towards Flexible Classification: Cost-Aware
+Online Query of Cascades and Operating Points
+Brandyn White, Andrew Miller, Tom Yeh, and Larry S. Davis
+University of Maryland: College Park"

+48a42303559ea518ba06f54a8cfce4226bb0e77e,Urban tribes: Analyzing group photos from a social perspective,"Urban Tribes: Analyzing Group Photos from a Social Perspective
+Ana C. Murillo†,
+Iljung S. Kwak‡, Lubomir Bourdev§∗, David Kriegman‡, Serge Belongie‡
+DIIS - Instituto de Ingenier´ıa de Arag´on. Universidad de Zaragoza, Spain
+§Facebook. 1601 Willow Road, Menlo Park, CA 94025, USA
+Computer Science and Engineering Department. University of California, San Diego, USA"

+483f85e1ebef9d10a951b3c01751892aca92a2c2,Adaptive Classification for Person Re-identification Driven by Change Detection,"Adaptive Classification for Person Re-Identification Driven by Change
+Detection
+C. Pagano1, E. Granger1, R. Sabourin1, G. L. Marcialis2 and F. Roli2
+Lab. d’imagerie, de vision et d’intelligence artificielle,
+´Ecole de technologie sup´erieure, Universit´e du Qu´ebec, Montreal, Canada
+Pattern Recognition and Applications Group, Dept. of Electrical and Electronic Engineering,
+{eric.granger,
+University of Cagliari, Cagliari, Italy
+Keywords:
+Multi-Classifier Systems, Incremental Learning, Adaptive Biometrics, Change Detection, Face Recognition,
+Video Surveillance."

+484c2617471fd742c4806f9281e5add45c6831a7,LSTM Self-Supervision for Detailed Behavior Analysis,"LSTM Self-Supervision for Detailed Behavior Analysis
+Biagio Brattoli1∗, Uta B¨uchler1∗, Anna-Sophia Wahl2, Martin E. Schwab2, Bj¨orn Ommer1
+HCI / IWR, Heidelberg University, Germany
+Department of HST, ETH Zurich, Switzerland"

+486f08c875e88b3f1f157e7de1ae2cf5176f5431,Structure-from-motion for Calibration of a Vehicle Camera System with Non-overlapping Fields-of-view in an Urban Environment,"STRUCTURE-FROM-MOTION FOR CALIBRATION OF A VEHICLE CAMERA SYSTEM
+WITH NON-OVERLAPPING FIELDS-OF-VIEW IN AN URBAN ENVIRONMENT
+Photogrammetry & Remote Sensing, Technische Universitaet Muenchen, Germany - (alexander.hanel,
+A. Hanela, U. Stillaa
+Commission I, WG 9
+KEY WORDS: vehicle cameras, camera calibration, structure from motion, bundle adjustment"

+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,"

+48bf7357723abf7770400d68f914d6a7ca5a1a5f,Real-Time Head Pose Tracking with Online Face Template Reconstruction,"Real-Time Head Pose Tracking with Online
+Face Template Reconstruction
+Songnan Li, Member, IEEE,
+King Ngi Ngan, Fellow, IEEE,
+Raveendran Paramesran, Senior Member, IEEE,
+nd Lu Sheng"

+48f45accce6a4a22e4ead41fe292a915f3531f5b,Active Learning for Visual Question Answering: An Empirical Study,"Active Learning for Visual Question Answering:
+An Empirical Study
+Xiao Lin
+Virginia Tech
+Devi Parikh
+Georgia Tech"

+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"

+486a0044b9c86c6f648f153f3d3f2e534342b754,Trajectories and Maneuvers of Surrounding Vehicles With Panoramic Camera Arrays,"Trajectories and Maneuvers of Surrounding Vehicles
+with Panoramic Camera Arrays
+Jacob V. Dueholm, Miklas S. Kristoffersen, Ravi K. Satzoda, Thomas B. Moeslund, and Mohan M. Trivedi"

+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"

+4875bed500321dec353959a556541715da5c9d18,A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation,"A Domain Agnostic Normalization Layer
+for Unsupervised Adversarial Domain Adaptation
+R. Romijnders
+Eindhoven, University of Technology
+P. Meletis
+G. Dubbelman"

+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)
+Age Invariant Face Recognition Based on DCT
+Feature Extraction and Kernel Fisher Analysis
+Leila Boussaad*, Mohamed Benmohammed**, and Redha Benzid***"

+484c4eec34e985d8ca0c20bf83efc56881180709,Efficient semantic image segmentation with superpixel pooling,"Ef‌f‌icient semantic image segmentation with superpixel pooling
+Mathijs Schuurmans Maxim Berman Matthew B. Blaschko
+Dept. ESAT, Center for Processing Speech and Images
+KU Leuven, Belgium
+{maxim.berman,
+June 8, 2018"

+70f189798c8b9f2b31c8b5566a5cf3107050b349,The challenge of face recognition from digital point-and-shoot cameras,"The Challenge of Face Recognition from Digital Point-and-Shoot Cameras
+J. Ross Beveridge∗
+Geof H. Givens§
+W. Todd Scruggs¶
+P. Jonathon Phillips†
+Yui Man Lui∗
+Kevin W. Bowyer(cid:107)
+David Bolme‡
+Mohammad Nayeem Teli∗
+Patrick J. Flynn(cid:107)
+Bruce A. Draper∗,
+Hao Zhang∗
+Su Cheng†"

+70671018d4597b6d2d0c99b38b1f1a3f1271eaec,Learning Representations Specialized in Spatial Knowledge: Leveraging Language and Vision,"Transactions of the Association for Computational Linguistics, vol. 6, pp. 133–144, 2018. Action Editor: Stefan Riezler.
+Submission batch: 6/2017; Revision batch: 9/2017; Published 2/2018.
+(cid:13)2018 Association for Computational Linguistics. Distributed under a CC-BY 4.0 license."

+70f0636b14b9e3916a780d70a5c712e8fea739da,"ANDRE MOUTON On Artefact Reduction , Segmentation and Classification of 3 D Computed Tomography Imagery in Baggage Security Screening","CRANFIELD UNIVERSITY
+SCHOOL OF ENGINEERING
+PhD THESIS
+Academic Year 2013-2014
+ANDRE MOUTON
+On Artefact Reduction, Segmentation and Classification of
+D Computed Tomography Imagery in Baggage Security
+Screening
+Supervised by: Dr Toby Breckon and Dr Carol Armitage
+March 2014
+This thesis is submitted in partial fulfilment of the requirements for
+the Degree of Doctor of Philosophy
+©Cranfield University, 2014. All rights reserved. No part of this
+publication may be reproduced without the written permission of
+the copyright holder."

+70ec156f7e6de0275c7e4e95e35f1bc1e92e29b3,Deep learning ensembles for melanoma recognition in dermoscopy images,"Deep learning ensembles for melanoma recognition in dermoscopy images1
+N. C. F. Codella, Q. B. Nguyen, S. Pankanti, D. Gutman, B. Helba, A. Halpern, J. R. Smith"

+70109c670471db2e0ede3842cbb58ba6be804561,Zero-Shot Visual Recognition via Bidirectional Latent Embedding,"Noname manuscript No.
+(will be inserted by the editor)
+Zero-Shot Visual Recognition via Bidirectional Latent Embedding
+Qian Wang · Ke Chen
+Received: date / Accepted: date"

+706600aa77ffb165097e4aeccb2b214dabdb8092,Combining Graph-based Dependency Features with Convolutional Neural Network for Answer Triggering,"Combining Graph-based Dependency Features with
+Convolutional Neural Network for Answer Triggering
+Deepak Gupta∗, Sarah Kohail†, Pushpak Bhattacharyya∗
+Indian Institute of Technology Patna, India
+Universit¨at Hamburg, Germany
+{deepak.pcs16,"

+708a55d65568faf8158417ddfb79e728b2b28f86,3D Body Model Construction and Matching for Real Time People Re-Identification,"Eurographics Italian Chapter Conference (2010)
+E. Puppo, A. Brogni, and L. De Floriani (Editors)
+D Body Model Construction and Matching for Real Time
+People Re-Identification
+D. Baltieri, R. Vezzani and R. Cucchiara
+Dipartimento di Ingegneria dell’Informazione
+University of Modena and Reggio Emilia
+Via Vignolese, 905 - 41100 Modena - Italy"

+706236308e1c8d8b8ba7749869c6b9c25fa9f957,Crowdsourced data collection of facial responses,"Crowdsourced Data Collection of Facial Responses
+Daniel McDuff
+MIT Media Lab
+Cambridge
+02139, USA
+Rosalind Picard
+MIT Media Lab
+Cambridge
+02139, USA
+Rana el Kaliouby
+MIT Media Lab
+Cambridge
+02139, USA"

+70f3d3d9a7402a0f62a5646a16583c6c58e3b07a,"An Architecture for Deep, Hierarchical Generative Models","An Architecture for Deep, Hierarchical Generative
+Models
+Philip Bachman
+Maluuba Research"

+706b9767a444de4fe153b2f3bff29df7674c3161,Fast Metric Learning For Deep Neural Networks,"Fast Metric Learning For Deep Neural Networks
+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"

+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"

+708355d319a88485fdbbea3524104982b8cf37c2,2D/3D Sensor Exploitation and Fusion for Enhanced Object Detection,"D/3D Sensor Exploitation and Fusion for Enhanced Object Detection
+Jiejun Xu
+HRL Laboratories LLC
+Kyungnam Kim
+HRL Laboratories LLC
+Zhiqi Zhang
+HRL Laboratories LLC
+Hai-wen Chen
+HRL Laboratories LLC
+Yuri Owechko
+HRL Laboratories LLC"

+70990e1b13cec2b3e4831a00c6ac901dae76b27a,"Mareckova , Klara ( 2013 ) Sex differences and the role of sex hormones in face development and face processing","Mareckova, Klara (2013) Sex differences and the role of
+sex hormones in face development and face processing.
+PhD thesis, University of Nottingham.
+Access from the University of Nottingham repository:
+http://eprints.nottingham.ac.uk/13333/1/KlaraMareckova_PhDThesis_finalversion1.pdf
+Copyright and reuse:
+The Nottingham ePrints service makes this work by researchers of the University of
+Nottingham available open access under the following conditions.
+· Copyright and all moral rights to the version of the paper presented here belong to
+the individual author(s) and/or other copyright owners.
+To the extent reasonable and practicable the material made available in Nottingham
+ePrints has been checked for eligibility before being made available.
+· Copies of full items can be used for personal research or study, educational, or not-
+for-profit purposes without prior permission or charge provided that the authors, title
+nd full bibliographic details are credited, a hyperlink and/or URL is given for the
+original metadata page and the content is not changed in any way.
+· Quotations or similar reproductions must be sufficiently acknowledged.
+Please see our full end user licence at:
+http://eprints.nottingham.ac.uk/end_user_agreement.pdf
+A note on versions:"

+70eb48e06d9d5edf84246b772673b6d44af4b3c6,Robust Ldp Based Face Descriptor,"International Journal of Advances in Engineering & Technology, Mar. 2013.
+©IJAET                                                                                                          ISSN: 2231-1963
+ROBUST LDP BASED FACE DESCRIPTOR
+Mahadeo D. Narlawar and Jaideep G. Rana
+Department of Electronics Engineering, Jawaharlal Nehru College of Engineering,
+Aurangabad-431004, Maharashtra, India"

+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
+Using Extreme Learning Machine
+Firoz Mahmud, Dr. Md. Al Mamun"

+70bfe8dfd9c9b05c8854a5d4aca9c3ee3a3b7eff,3D Object Reconstruction using Multiple Views,"!, >A?J 4A?IJHK?JE KIEC KJEFA 8EAMI
+,CD E
+,AF=HJAJ B +FKJAH 5?EA?A 5J=JEIJE?I
+7ELAHIEJO B ,K>E 6HEEJO +ACA
+) JDAIEI J JDA 7ELAHIEJO B ,K>E 6HEEJO +ACA E BK
AJ B
+JDA HAGKEHAAJI BH JDA B
+,?JH B 2DEIFDO
+5AFJA>AH"

+7003d903d5e88351d649b90d378f3fc5f211282b,Facial Expression Recognition using Gabor Wavelet,"International Journal of Computer Applications (0975 – 8887)
+Volume 68– No.23, April 2013
+Facial Expression Recognition using Gabor Wavelet
+Mahesh Kumbhar
+ENTC SVERI’S COE (Poly),
+Pandharpur,
+Solapur, India
+Manasi Patil
+ENTC SVERI’S COE,
+Pandharpur,
+Solapur, India
+Ashish Jadhav
+ENTC SVERI’S COE (Poly),
+Pandharpur,
+Solapur, India"

+70e3c02575e4041519434e0dacb291bbb8791380,Generative 2D and 3D Human Pose Estimation with Vote Distributions,"Generative 2D and 3D
+Human Pose Estimation
+with Vote Distributions
+J¨urgen Brauer, Wolfgang H¨ubner, Michael Arens
+Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
+{juergen.brauer, wolfgang.huebner,
+Gutleuthausstr. 1, 76275 Ettlingen, Germany"

+70920447b8300fd65745c0a884523e4d52d000ef,Automated Crowd Detection in Stadium Arenas,"AUTOMATED CROWD DETECTION IN STADIUM ARENAS
+Loris Nanni, 1 Sheryl Brahnam, 2 Stefano Ghidoni, 1 Emanuele Menegatti1
+DIE, University of Padua, Via Gradenigo, 6 - 35131- Padova – Italy e-mail: {loris.nanni, ghidoni,
+CIS, Missouri State University, 901 S. National, Springfield, MO 65804, USA e-mail:"

+70af8e4ff3c029aea788bc28b45c56932b50c056,Robust Facial Landmark Detection Using a Mixture of Synthetic and Real Images with Dynamic Weighting: A Survey,"Om Prakash Gupta et al. 2016, Volume 4 Issue 1
+ISSN (Online): 2348-4098
+ISSN (Print): 2395-4752"

+70ce1a17f257320fc718d61964b21e7aeabd8cd5,Person re-identification with fusion of hand-crafted and deep pose-based body region features,"Person re-identification with fusion of hand-crafted and deep pose-based body
+region features
+Jubin Johnson1
+Shunsuke Yasugi2
+Yoichi Sugino2
+Sugiri Pranata1
+Panasonic R&D Center
+Singapore
+Shengmei Shen1
+Panasonic Corporation
+Core Element Technology Development Center
+Japan
+http://www.prdcsg.panasonic.com.sg/"

+70b0538af40672e3be4b72f97cec486693d5204f,Mixture Component Identification and Learning for Visual Recognition,"Mixture Component Identification and Learning
+for Visual Recognition
+Omid Aghazadeh, Hossein Azizpour, Josephine Sullivan, and Stefan Carlsson
+Computer Vision and Active Perception laboratory (CVAP), KTH, Sweden"

+70e90b9df5b8617ef6636c5492db727f9d48d0ec,People Search with Textual Queries About Clothing Appearance Attributes,"People search with textual queries about
+lothing appearance attributes
+Riccardo Satta, Federico Pala, Giorgio Fumera, and Fabio Roli"

+7056a051e0589ab6aa299c7d2a31588800b8c93e,Facial expression recognition and histograms of oriented gradients: a comprehensive study,"Carcagnì et al. SpringerPlus  (2015) 4:645
+DOI 10.1186/s40064-015-1427-3
+RESEARCH
+Facial expression recognition
+nd histograms of oriented gradients: a
+omprehensive study
+Pierluigi Carcagnì*†, Marco Del Coco†, Marco Leo† and Cosimo Distante†
+Open Access
+*Correspondence:
+Pierluigi Carcagnì, Marco Del
+Coco, Marco Leo and Cosimo
+Distante contributed equally
+to this work
+National Research Council
+of Italy, Institute of Applied
+Sciences and Intelligent
+Systems, Via della Libertà, 3,
+73010 Arnesano , LE, Italy"

+70bf1769d2d5737fc82de72c24adbb7882d2effd,Face Detection in Intelligent Ambiences with Colored Illumination,"Face detection in intelligent ambiences with colored illumination
+Christina Katsimerou, Judith A. Redi, Ingrid Heynderickx
+Department of Intelligent Systems
+TU Delft
+Delft, The Netherlands"

+70560383cbf7c0dc5e9be1f2fd9efba905377095,Accelerating Online CP Decompositions for Higher Order Tensors,"Accelerating Online CP Decompositions for
+Higher Order Tensors
+Shuo Zhou1, Nguyen Xuan Vinh1, James Bailey1, Yunzhe Jia1, Ian Davidson2
+Dept. of Computing and Information Systems, The University of Melbourne, Australia
+Dept. of Computer Science, University of California, Davis, USA"

+70480ee0e636a77f6289be98ae39300a584808f6,Iterative Robust Registration Approach based on Feature Descriptors Correspondence - Application to 3D Faces Description,"Iterative Robust Registration Approach based on Feature Descriptors
+Correspondence
+Application to 3D Faces Description
+Cristal lab.Grift research group, National School of Computer Science, La Mannouba, Tunisia
+Wieme Gadacha and Faouzi Ghorbel
+Keywords:
+D Rigid Registration, Hausdorff Distance in Shape Space, 3D Parametrisation, Matching, Face Description,
+Shannon Theorem."

+70bb5c2570673eae86a3f9ced55c7ef00e0be8b5,Combinaison de Descripteurs Hétérogènes pour la Reconnaissance de Micro-Mouvements Faciaux,"Combinaison de Descripteurs Hétérogènes pour la Reconnaissance de
+Micro-Mouvements Faciaux.
+Vincent Rapp1, Thibaud Senechal1, Hanan Salam2, Lionel Prevost3, Renaud Seguier2, Kevin Bailly1
+ISIR - CNRS UMR 7222
+Université Pierre et Marie Curie, Paris
+{rapp, senechal,
+Supelec - ETR (UMR 6164)
+Avenue de la Boulaie, 35511,
+Cesson-Sevigne
+{salam,
+LAMIA - EA 4540
+Université des Antilles et de la Guyanne
+Résumé
+Dans cet article, nous présentons notre réponse au premier
+hallenge international sur la reconnaissance et l’analyse
+d’émotions faciales (Facial Emotion Recognition and Ana-
+lysis Challenge). Nous proposons une combinaison de dif-
+férents types de descripteurs dans le but de détecter de ma-
+nière automatique, les micro-mouvements faciaux d’un vi-
+sage. Ce système utilise une Machine à Vecteurs Supports"

+70b42bbd76e6312d39ea06b8a0c24beb4a93e022,Solving Multiple People Tracking in a Minimum Cost Arborescence,"Solving Multiple People Tracking In A Minimum Cost Arborescence
+Institut f¨ur Informationsverarbeitung
+Institute of Geodesy and Photogrammetry
+Laura Leal-Taix´e
+ETH Z¨urich
+Roberto Henschel
+Universit¨at Hannover
+Bodo Rosenhahn
+Institut f¨ur Informationsverarbeitung
+Universit¨at Hannover
+. Introduction
+For many applications of computer vision, it is neces-
+sary to localize and track humans that appear in a video
+sequence. Multiple people tracking has thus evolved as an
+ongoing research topic in the computer vision domain.
+A commonly used approach to solve the data associa-
+tion problem within the tracking task is to apply a hierarchi-
+al tracklet framework [5]. Although there has been great
+progress in such a model, mainly due to its good bootstrap-
+ping capabilities, so far little attention has been drawn to"

+1e058b3af90d475bf53b3f977bab6f4d9269e6e8,Manifold Relevance Determination,"Manifold Relevance Determination
+Andreas C. Damianou
+Dept. of Computer Science & Sheffield Institute for Translational Neuroscience, University of Sheffield, UK
+Carl Henrik Ek
+KTH – Royal Institute of Technology, CVAP Lab, Stockholm, Sweden
+Michalis K. Titsias
+Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7BN, UK
+Neil D. Lawrence
+Dept. of Computer Science & Sheffield Institute for Translational Neuroscience, University of Sheffield, UK"

+1e1e35284591b6a69569c48b3677b6f4409c5edc,Optimal Feature Extraction and Classification of Tensors via Matrix Product State Decomposition,"Matrix Product State for Feature Extraction of
+Higher-Order Tensors
+Johann A. Bengua1, Ho N. Phien1, Hoang D. Tuan1 and Minh N. Do2
+een applied in neuroscience, pattern analysis, image classifi-
+ation and signal processing [7], [8], [9]. The central concept
+of using the TD is to decompose a large multidimensional
+tensor into a set of common factor matrices and a single core
+tensor which is considered as reduced features of the original
+tensor in spite of its lower dimension [7]. In practice, the
+TD is often performed in conjunction with some constraints,
+e.g. nonnegativity, orthogonality, etc., imposed on the common
+factors in order to obtain a better feature core tensor [7].
+However, constraints like orthogonality often leads to an NP-
+hard computational problem [10]. Practical application of the
+TD is normally limited to small-order tensors. This is due
+to the fact
+the TD core tensor preserves the higher-
+order structure of the original tensor, with its dimensionality
+remaining fairly large in order to capture relevant interactions
+etween components of the tensor [2]."

+1e2087908e6ce34032c821c7fb6629f2d0733086,Affective Embodied Conversational Agents for Natural Interaction,"Affective Embodied Conversational Agents for
+Natural Interaction
+Eva Cerezo, Sandra Baldassarri, Isabelle Hupont and Francisco J. Seron
+Advanced Computer Graphics Group (GIGA)
+Computer Science Department, Engineering Research Institute of Aragon(I3A),
+University of Zaragoza,
+Spain
+. Introduction
+Human  computer  intelligent  interaction  is  an  emerging  field  aimed  at  providing  natural
+ways for humans to use computers as aids. It is argued that for a computer to be able to
+interact  with  humans  it  needs  to  have  the  communication  skills  of  humans.  One  of  these
+skills is the affective aspect of communication, which is recognized to be a crucial part of
+human intelligence and has been argued to be more fundamental in human behaviour and
+success in social life than intellect (Vesterinen, 2001; Pantic, 2005).
+Embodied conversational agents, ECAs (Casell et al., 2000), are graphical interfaces capable
+of using verbal and non-verbal modes of communication to interact with users in computer-
+ased environments. These agents are sometimes just as an animated talking face, may be
+displaying simple facial expressions and, when using speech synthesis, with some kind of
+lip  synchronization,  and  sometimes  they  have  sophisticated  3D  graphical  representation,
+with complex body movements and facial expressions."

+1e799047e294267087ec1e2c385fac67074ee5c8,Automatic Classification of Single Facial Images,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 21, NO. 12, DECEMBER 1999
+Short Papers___________________________________________________________________________________________________
+Automatic Classification of
+Single Facial Images
+Michael J. Lyons, Julien Budynek, and
+Shigeru Akamatsu"

+1eb4ea011a3122dc7ef3447e10c1dad5b69b0642,Contextual Visual Recognition from Images and Videos,"Contextual Visual Recognition from Images and Videos
+Georgia Gkioxari
+Jitendra Malik
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2016-132
+http://www.eecs.berkeley.edu/Pubs/TechRpts/2016/EECS-2016-132.html
+July 19, 2016"

+1e7ae86a78a9b4860aa720fb0fd0bdc199b092c3,A Brief Review of Facial Emotion Recognition Based on Visual Information,"Article
+A Brief Review of Facial Emotion Recognition Based
+on Visual Information
+Byoung Chul Ko ID
+Department of Computer Engineering, Keimyung University, Daegu 42601, Korea;
+Tel.: +82-10-3559-4564
+Received: 6 December 2017; Accepted: 25 January 2018; Published: 30 January 2018"

+1e8eee51fd3bf7a9570d6ee6aa9a09454254689d,Face Search at Scale,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TPAMI.2016.2582166, IEEE
+Transactions on Pattern Analysis and Machine Intelligence
+Face Search at Scale
+Dayong Wang, Member, IEEE, Charles Otto, Student Member, IEEE, Anil K. Jain, Fellow, IEEE"

+1e02dfeb93e8fd8753d2e69baf705baf8996cb81,"Online Object Tracking, Learning and Parsing with And-Or Graphs","ARXIV VERSION
+Online Object Tracking, Learning and Parsing
+with And-Or Graphs
+Tianfu Wu, Yang Lu and Song-Chun Zhu"

+1ea2a53a6cb9c08312276a2f0646935d5fab5ed3,Real-time Crowd Tracking using Parameter Optimized Mixture of Motion Models,"Noname manuscript No.
+(will be inserted by the editor)
+Real-time Crowd Tracking using Parameter Optimized
+Mixture of Motion Models
+Aniket Bera · David Wolinski · Julien Pettr´e · Dinesh Manocha
+Received: date / Accepted: date"

+1eec03527703114d15e98ef9e55bee5d6eeba736,Automatic identification of persons in TV series,"UNIVERSITÄT KARLSRUHE (TH)
+FAKULTÄT FÜR INFORMATIK
+INTERACTIVE SYSTEMS LABS
+Prof. Dr. A. Waibel
+DIPLOMA THESIS
+Automatic identification
+of persons in TV series
+SUBMITTED BY
+Mika Fischer
+MAY 2008
+ADVISORS
+M.Sc. Hazım Kemal Ekenel
+Dr.-Ing. Rainer Stiefelhagen"

+1e4c717a8a5eed5c3385b77641ebe3d8c4ceb3ac,An efficient algorithm for maximal margin clustering,"J Glob Optim
+DOI 10.1007/s10898-011-9691-4
+An efficient algorithm for maximal margin clustering
+Jiming Peng · Lopamudra Mukherjee · Vikas Singh ·
+Dale Schuurmans · Linli Xu
+Received: 29 April 2009 / Accepted: 5 February 2011
+© Springer Science+Business Media, LLC. 2011"

+1e2d965df330a72b3426279f9327f77330c2ee64,Simultaneous Detection and Segmentation of Pedestrians using Top-down and Bottom-up Processing,"Simultaneous Detection and Segmentation of Pedestrians
+using Top-down and Bottom-up Processing ∗
+Vinay Sharma
+James W. Davis
+Dept. of Computer Science and Engineering
+Ohio State University
+Columbus OH 43210 USA"

+1ebf201b34d9687fa17e336a608ab43e466ca13f,Detecting Parts for Action Localization,"Nicolas Chesneau
+Grégory Rogez
+Karteek Alahari
+Cordelia Schmid
+CHESNEAU ET AL.: DETECTING PARTS FOR ACTION LOCALIZATION
+Detecting Parts for Action Localization
+Inria∗"

+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
+Zheng Zhang
+Shuangfei Zhai
+Lijun Yin
+Department of Computer Science
+State University of New York at
+Binghamton
+NY, USA."

+1ebcf5dbb37fcd369530b0ee4df5d4a60f756f3e,High-level Feature Learning by Ensemble Projection for Image Classification with Limited Annotations,"High-level Feature Learning by Ensemble Projection for Image
+Classification with Limited Annotations $
+Dengxin Dai∗, Luc Van Gool
+Computer Vision Lab, ETH Z¨urich, CH-8092, Switzerland"

+1e1334f76177ddf3ddc35f7359a1e04b65438dc4,What is the Most EfficientWay to Select Nearest Neighbor Candidates for Fast Approximate Nearest Neighbor Search?,"What Is the Most Efficient Way to Select Nearest Neighbor Candidates for Fast
+Approximate Nearest Neighbor Search?
+Masakazu Iwamura, Tomokazu Sato and Koichi Kise
+Graduate School of Engineering, Osaka Prefecture University
+{masa,"

+1e1a3ee9626c740be78f9c5f75f9c4d7edc45666,Estimating the Natural Illumination Conditions from a Single Outdoor Image,E-mail:

+1e8a265ec741584e851b83b5efc00351048bbe3f,Real Time Human Detection and Localization Using Consumer Grade Camera and Commercial UAV,"Preprints (www.preprints.org)  |  NOT PEER-REVIEWED  |  Posted: 7 November 2018                   doi:10.20944/preprints201811.0156.v1
+Article
+Real Time Human Detection and Localization Using
+Consumer Grade Camera and Commercial UAV
+Nemi Bhattarai 1,*, Tai Nakamura 1 and Chitrini Mozumder 1,*
+Remote Sensing and Geographic Information Systems, School of Engineering and Technology, Asian
+Institute of Technology, Thailand; (T.N.)
+*  Correspondence: (N.B); (C.M); Tel.: +66-099-421-7492"

+1e5c6c9fa9ba089931cfb2bc81e4368a4db5dd2d,Multi- View Fusion for Action Recognition in Child-Robot Interaction,"978-1-4799-7061-2/18/$31.00 ©2018 IEEE
+ICIP 2018
+#2Kinect #1Kinect #3Multi-view action recognition systemSenseActDecisionSpeakRec.ActionActFig.1:Multi-viewactionrecognitionsystemforchild-robotinteraction.presentspontaneousbehaviorandaninformalwayofcommunica-tion.Inaddition,thesameactionscanbeperformedinavarietyofwaysandawidespectrum,furthercomplicatingtherecognitionofactions.Althoughhumanactionrecognitionisapopularproblemwithmanyproposedmethods[8–13],therequirementsofmulti-viewac-tionrecognitiondiffersignificantlyasithastotakeintoaccountbothactionrecognitionthatresultsfromsingleviewsandalsothefusionamongtheresultinginformationfromthedifferentstreams[14,15].Incross-viewactionrecognitionworksitisattemptedtoshareknowledgefortheactionamongthedifferentsetupviews.Forexample,in[16]aspecificviewistreatedasthetargetdomainandtheotherviewsassourcedomainsinordertoformulateacross-viewlearningframework.Inotherapproaches,theknowledgeofactionsistransferredfromthedifferentviewsinasinglecanoni-calview[17].In[18]itisproposedtolearnview-invariantfeaturesrobusttoviewvariationsusingdeepmodels.Inthefieldofmulti-viewactionrecognition,anewglobalrepresentationthatiscalledmulti-viewsupervectorhasalsobeenproposedinordertoenhancerecognitionperformance[19].Finally,anotherinterestingapproachispresentedin[20]whereitisattemptedtotransferthelow-levelfeaturesintoahigh-levelsemanticspaceandamulti-tasklearningapproachforjointactionmodelingisexamined.Inthispaperwedevelopamulti-viewactionrecognitionsystemsuitableforCRI.Themaincontributionsofthispapercanbesum-marizedasfollows:1)Single-viewmethodsareexploredinordertocreaterobustactionrecognitionmodelsforparticularusers,i.e.children,underdifficulttaskswithfewtrainingdata.2)Methodsforthefusionofinformationfromdifferentstreamsinamulti-viewsys-temareproposedtoenhanceactionrecognitionduringCRI.3)Themulti-viewactionrecognitionsystemisintegratedinroboticplat-"

+1ed6a05a226cb0d09afd76ff9b7560c404d8eb49,D4g: Pre-completion report on exemplar,"D4g: Pre-completion report on exemplar
+Workpackage 4 Deliverable
+Date: 31th August 2007"

+1ecf4055831ca23c9f6026ef866dac95c8b8f9de,Eye Gaze Tracking With a Web Camera in a Desktop Environment,"Eye Gaze Tracking With a Web Camera
+in a Desktop Environment
+Yiu-ming Cheung, Senior Member, IEEE, and Qinmu Peng, Member, IEEE"

+1eadafc27372b33a73eca062438a58d4280fd3a1,DeepSkeleton: Learning Multi-Task Scale-Associated Deep Side Outputs for Object Skeleton Extraction in Natural Images,"DeepSkeleton: Learning Multi-task Scale-associated
+Deep Side Outputs for Object Skeleton Extraction
+in Natural Images
+Wei Shen, Kai Zhao, Yuan Jiang, Yan Wang, Xiang Bai and Alan Yuille"

+1e21078efc0aa7a3881d0e87cb5dd5918523f525,Network Consistent Data Association,"Network Consistent Data Association
+Anirban Chakraborty, Member, IEEE, Abir Das, Student Member, IEEE,
+nd Amit K. Roy-Chowdhury, Senior Member, IEEE"

+1e8394cc9fe7c2392aa36fb4878faf7e78bbf2de,Zero-Shot Object Recognition System Based on Topic Model,"TO APPEAR IN IEEE THMS
+Zero-Shot Object Recognition System
+ased on Topic Model
+Wai Lam Hoo and Chee Seng Chan"

+1e2b8778cfe44de4bbe4a099ee7cdff5c2ca5f38,Attention to Scale: Scale-Aware Semantic Image Segmentation,"Attention to Scale: Scale-aware Semantic Image Segmentation
+Liang-Chieh Chen∗
+{yangyi05, wangjiang03,
+Yi Yang, Jiang Wang, Wei Xu
+Alan L. Yuille"

+1e93ec0f5c29069beedbe7d617f5167b82b70730,Filtering SVM frame-by-frame binary classification in a detection framework,"FILTERING SVM FRAME-BY-FRAME BINARY CLASSIFICATION IN A DETECTION
+FRAMEWORK
+Alejandro Betancourt1,2, Pietro Morerio1, Lucio Marcenaro1, Matthias Rauterberg2, Carlo Regazzoni1
+Information and Signal Processing for Cognitive
+University of Genoa, Italy
+Telecommunications Group.
+Department of Naval, Electric, Electronic
+nd Telecommunications Engineering.
+Designed Intelligence Group.
+Department of Industrial Design.
+Eindhoven University of Technology.
+Eindhoven, Netherlands."

+1ecb56e7c06a380b3ce582af3a629f6ef0104457,"A New Way of Discovery of Belief, Desire and Intention in the BDI Agent-Based Software Modeling","List of Contents Vol.8
+Contents of
+Journal of Advanced Computational
+Intelligence and Intelligent Informatics
+Volume 8
+Vol.8 No.1, January 2004
+Editorial:
+o Special Issue on Selected Papers from Humanoid,
+Papers:
+o Dynamic Color Object Recognition Using Fuzzy
+Nano-technology, Information Technology,
+Communication and Control, Environment, and
+Management (HNICEM’03).
+Elmer P. Dadios
+Papers:
+o A New Way of Discovery of Belief, Desire and
+Intention  in the BDI Agent-Based Software
+Modeling .
+Chang-Hyun Jo
+o Integration of Distributed Robotic Systems"

+1e64b2d2f0a8a608d0d9d913c4baee6973995952,Dominant and Complementary Multi-Emotional Facial Expression Recognition Using C-Support Vector Classification,"DOMINANT AND
+COMPLEMENTARY MULTI-
+EMOTIONAL FACIAL
+EXPRESSION RECOGNITION
+USING C-SUPPORT VECTOR
+CLASSIFICATION
+Christer Loob, Pejman Rasti, Iiris Lusi, Julio C. S. Jacques
+Junior, Xavier Baro, Sergio Escalera, Tomasz Sapinski,
+Dorota Kaminska and Gholamreza Anbarjafari"

+1e82a8965f08e8d38b16f39412e6e3c456f6f22e,Social force model aided robust particle PHD filter for multiple human tracking,"978-1-4799-9988-0/16/$31.00 ©2016 IEEE
+ICASSP 2016"

+1e21b925b65303ef0299af65e018ec1e1b9b8d60,Unsupervised Cross-Domain Image Generation,"Under review as a conference paper at ICLR 2017
+UNSUPERVISED CROSS-DOMAIN IMAGE GENERATION
+Yaniv Taigman, Adam Polyak & Lior Wolf
+Facebook AI Research
+Tel-Aviv, Israel"

+1ee27c66fabde8ffe90bd2f4ccee5835f8dedbb9,9 Entropy Regularization,"Entropy Regularization
+Yves Grandvalet
+Yoshua Bengio
+The problem of semi-supervised induction consists in learning a decision rule from
+labeled and unlabeled data. This task can be undertaken by discriminative methods,
+provided that learning criteria are adapted consequently. In this chapter, we moti-
+vate the use of entropy regularization as a means to bene(cid:12)t from unlabeled data in
+the framework of maximum a posteriori estimation. The learning criterion is derived
+from clearly stated assumptions and can be applied to any smoothly parametrized
+model of posterior probabilities. The regularization scheme favors low density sep-
+ration, without any modeling of the density of input features. The contribution
+of unlabeled data to the learning criterion induces local optima, but this problem
+an be alleviated by deterministic annealing. For well-behaved models of posterior
+probabilities, deterministic annealing EM provides a decomposition of the learning
+problem in a series of concave subproblems. Other approaches to the semi-supervised
+problem are shown to be close relatives or limiting cases of entropy regularization.
+A series of experiments illustrates the good behavior of the algorithm in terms of
+performance and robustness with respect to the violation of the postulated low den-
+sity separation assumption. The minimum entropy solution bene(cid:12)ts from unlabeled
+data and is able to challenge mixture models and manifold learning in a number of"

+1e0ba1a61ed0c6d4a76697de1e185ed5def60fb4,Learning to Parse Video into Stable Spatiotemporal Volumes1,"Learning to Parse Video into Stable Spatiotemporal Volumes1
+Thomas Dean
+Google Inc.
+We are interested in learning how to exploit continuity, motion and context to account for stable, recov-
+erable, spatiotemporal phenomena embedded in video. While most humans can make sense of still images,
+for the most part, we need continuity and motion to make sense of the world around us. Humans are also
+ided by strong priors that allow us to make confident predictions despite ambiguity, noise and occlusion.
+The idea of combining top-down prior knowledge and bottom-up cues derived from motion and other
+low-level features has been around almost as long as research in computer vision, e.g., [10], and has recently
+seen renewed interest, e.g., [3, 2, 6, 11]. Rather than the traditional tasks of object recognition or image
+ategorization, here we focus on the task of explaining each new frame in a video in terms of a continuously
+evolving representation of spatiotemporal volumes that account for the complete visual field. For the purpose"

+1e1dc91c2ac3ad0ae44941e711aed193231c3335,Universal Adversarial Perturbations Against Semantic Image Segmentation,"Universal Adversarial Perturbations Against Semantic Image Segmentation
+Bosch Center for Artificial Intelligence, Robert Bosch GmbH
+Jan Hendrik Metzen
+Mummadi Chaithanya Kumar
+University of Freiburg
+Thomas Brox
+University of Freiburg
+Bosch Center for Artificial Intelligence, Robert Bosch GmbH
+Volker Fischer"

+1e1a67a78badc619b2f9938e4a03922dcbee0fb6,Food/Non-food Image Classification and Food Categorization using Pre-Trained GoogLeNet Model,"Food/Non-food Image Classification and Food
+Categorization using Pre-Trained GoogLeNet Model
+Ashutosh Singla
+Lin Yuan
+Touradj Ebrahimi
+Multimedia Signal Processing Group
+Ecole Polytechnique Fédérale de Lausanne
+Station 11, 1015 Lausanne, Switzerland"

+1e15c5cba95cbb475ddb67157fdd480f5253502e,Face Recognition under Varying Lighting Conditions: A Combination of Weber-face and Local Directional Pattern for Feature Extraction and Support Vector Machines for Classification,"Journal of Information Hiding and Multimedia Signal Processing
+Ubiquitous International
+©2017 ISSN 2073-4212
+Volume 8, Number 5, September 2017
+Face Recognition under Varying Lighting Conditions:
+A Combination of Weber-face and Local Directional
+Pattern for Feature Extraction and Support Vector
+Machines for Classification
+Chin-Shiuh Shieh1,5, Liyun Chang4,∗, and Tsair-Fwu Lee1,3,5,∗
+Chi-Kien Tran1,2, Chin-Dar Tseng1, Pei-Ju Chao1,3
+Medical Physics and Informatics Laboratory of Electronics Engineering,
+National Kaohsiung University of Applied Sciences, Kaohsiung 80778, Taiwan, ROC
+Center for Information Technology, Hanoi University of Industry, Hanoi, Vietnam
+Department of Radiation Oncology, Kaohsiung Chang Gung Memorial Hospital,
+Department of Medical Imaging and Radiological Sciences, I-Shou University,
+Kaohsiung 83305,Taiwan, ROC
+Kaohsiung 82445,Taiwan, ROC
+5 Graduate Institute of Clinical Medicine, Kaohsiung Medical University,
+Corresponding authors:
+Kaohsiung 807,Taiwan, ROC"

+1e9c3d0d87e09ea359ce1e31114b677d627bf9e7,Correction: Rapid Stress System Drives Chemical Transfer of Fear from Sender to Receiver,"RESEARCH ARTICLE
+Rapid Stress System Drives Chemical Transfer
+of Fear from Sender to Receiver
+Jasper H. B. de Groot1*, Monique A. M. Smeets1, Gün R. Semin1,2,3
+Department of Social and Organizational Psychology, Faculty of Social and Behavioral Sciences, Utrecht
+University, Utrecht, the Netherlands, 2 Department of Psychology, Koç University, Istanbul, Turkey,
+Instituto Superior de Psicologia Aplicada (ISPA), Instituto Universitário, Lisbon, Portugal
+11111"

+1ee3b4ba04e54bfbacba94d54bf8d05fd202931d,Celebrity Face Recognition using Deep Learning,"Indonesian Journal of Electrical Engineering and Computer Science
+Vol. 12, No. 2, November 2018, pp. 476~481
+ISSN: 2502-4752, DOI: 10.11591/ijeecs.v12.i2.pp476-481
+      476
+Celebrity Face Recognition using Deep Learning
+Nur Ateqah Binti Mat Kasim1, Nur Hidayah Binti Abd Rahman2, Zaidah Ibrahim3,
+Nur Nabilah Abu Mangshor4
+,2,3Faculty of Computer and Mathematical Sciences, UniversitiTeknologi MARA (UiTM),
+Faculty of Computer and Mathematical Sciences, UniversitiTeknologi MARA (UiTM),
+Shah Alam, Selangor, Malaysia
+Campus Jasin, Melaka, Malaysia
+Article Info
+Article history:
+Received May 29, 2018
+Revised Jul 30, 2018
+Accepted Aug 3, 2018
+Keywords:
+AlexNet
+Convolutional neural network
+Deep learning"

+1eda03469d860ac725122bd27faaae6b2cb47d0d,Image Question Answering Using Convolutional Neural Network with Dynamic Parameter Prediction,"Image Question Answering using Convolutional Neural Network
+with Dynamic Parameter Prediction
+Hyeonwoo Noh
+Paul Hongsuck Seo
+Bohyung Han
+{shgusdngogo, hsseo,
+Department of Computer Science and Engineering, POSTECH, Korea"

+1e41a3fdaac9f306c0ef0a978ae050d884d77d2a,Robust Object Recognition with Cortex-Like Mechanisms,"Robust Object Recognition with
+Cortex-Like Mechanisms
+Thomas Serre, Lior Wolf, Stanley Bileschi, Maximilian Riesenhuber, and
+Tomaso Poggio, Member, IEEE"

+1e8711d2fc4b05eac0699c82f4698154c2b057d3,The unreasonable effectiveness of small neural ensembles in high-dimensional brain,"The unreasonable effectiveness of small neural ensembles
+in high-dimensional brain
+A.N. Gorbana,b,∗, V.A. Makarovb,c, I.Y. Tyukina,b,d
+Instituto de Matem´atica Interdisciplinar, Faculty of Mathematics, Universidad Complutense de Madrid, Avda Complutense s/n, 28040 Madrid,
+Department of Mathematics, University of Leicester, Leicester, LE1 7RH, UK
+Lobachevsky University, Nizhni Novgorod, Russia
+dSaint-Petersburg State Electrotechnical University, Saint-Petersburg, Russia
+Spain"

+1e83e2abcb258cd62b160e3f31a490a6bc042e83,Metric Learning in Codebook Generation of Bag-of-Words for Person Re-identification,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Metric Learning in Codebook Generation of
+Bag-of-Words for Person Re-identification
+Lu Tian, Student Member, IEEE, and Shengjin Wang, Member, IEEE"

+1e1e66783f51a206509b0a427e68b3f6e40a27c8,Semi-supervised Estimation of Perceived Age from Face Images,"SEMI-SUPERVISED ESTIMATION OF PERCEIVED AGE
+FROM FACE IMAGES
+VALWAY Technology Center, NEC Soft, Ltd., Tokyo, Japan
+Kazuya Ueki
+Masashi Sugiyama
+Keywords:"

+1ef46f7bb7463ead4369a796435106da63578733,Shamann: Shared Memory Augmented Neural Networks,"Under review as a conference paper at ICLR 2019
+SHAMANN: SHARED MEMORY AUGMENTED
+NEURAL NETWORKS
+Anonymous authors
+Paper under double-blind review"

+1efaa128378f988965841eb3f49d1319a102dc36,Hierarchical binary CNNs for landmark localization with limited resources,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Hierarchical binary CNNs for landmark
+localization with limited resources
+Adrian Bulat and Georgios Tzimiropoulos"

+8408f4b1193e8db25fec818a989d9fe3194d5ea6,3D Face Recognition using Radon Transform and Symbolic LDA,"International Journal of Computer Applications (0975 - 8887)
+Volume 67 - No. 4, April 2013
+D Face Recognition using Radon Transform and
+Symbolic LDA
+P. S. Hiremath
+Department of Computer Science
+Gulbarga University, Gulbarga-585106
+Karnataka, India
+Manjunatha Hiremath
+Department of Computer Science
+Gulbarga University, Gulbarga-585106
+Karnataka, India"

+84a69f6357b137028e3aa51376ce2dffad5e0179,Studies of Typically and Atypically Developing Children,"Digital Comprehensive Summaries of Uppsala Dissertations
+from the Faculty of Social Sciences 152
+Visual Attention to Faces, Eyes and
+Objects
+Studies of Typically and Atypically Developing
+Children
+JOHAN L. KLEBERG
+ISSN 1652-9030
+ISBN 978-91-513-0244-7
+urn:nbn:se:uu:diva-342578
+UNIVERSITATIS
+UPSALIENSIS
+UPPSALA"

+84af83ff6412a756df58b6436f0d2e3c049e1f12,Abnormality Detection with Improved Histogram of Oriented Tracklets,"Abnormality Detection with Improved
+Histogram of Oriented Tracklets
+Hossein Mousavi1, Moin Nabi1 , Hamed Kiani Galoogahi1
+Alessandro Perina1 and Vittorio Murino1,2
+Pattern Analysis and Computer Vision Department (PAVIS)
+Istituto Italiano di Tecnologia (IIT) Genova, Italy
+Dipartimento di Informatica,University of Verona, Italy"

+8451bf3dd6bcd946be14b1a75af8bbb65a42d4b2,Consensual and Privacy-Preserving Sharing of Multi-Subject and Interdependent Data,"Consensual and Privacy-Preserving Sharing of
+Multi-Subject and Interdependent Data
+Alexandra-Mihaela Olteanu
+EPFL, UNIL–HEC Lausanne
+K´evin Huguenin
+UNIL–HEC Lausanne
+Italo Dacosta
+Jean-Pierre Hubaux"

+842e42d30dc31de1833047c268f0a5cdff16f2ce,3D Face Compression and Recognition using Spherical Wavelet Parametrization,"(IJACSA) International Journal of Advanced Computer Science and Applications,
+Vol. 3, No.9, 2012
+D Face Compression and Recognition using
+Spherical Wavelet Parametrization
+Rabab M. Ramadan
+College of Computers and Information Technology
+University of Tabuk
+Tabuk, KSA
+into  multi-resolution  sub"

+845c03910c7cfd02de7df9622a9973e8b085c0d8,Interactive Generation of Realistic Facial Wrinkles from Sketchy Drawings,"EUROGRAPHICS 2015 / O. Sorkine-Hornung and M. Wimmer
+(Guest Editors)
+Volume 34 (2015), Number 2
+Interactive Generation of Realistic Facial Wrinkles from
+Sketchy Drawings
+Hyeon-Joong Kim 1,3, A. Cengiz Öztireli2, Il-Kyu Shin1, Markus Gross2, Soo-Mi Choi†1
+Sejong University, Korea 2 ETH Zurich, Switzerland 3 3D Systems, Korea
+Figure 1: We use statistics extracted from example faces to augment interactively drawn concept sketches for synthesizing
+realistic facial wrinkles."

+84c35fc21db3bcd407a4ffb009912b6ac5a47e3c,Mgan: Training Generative Adversarial Nets,"Under review as a conference paper at ICLR 2018
+MGAN: TRAINING GENERATIVE ADVERSARIAL NETS WITH
+MULTIPLE GENERATORS
+Anonymous authors
+Paper under double-blind review"

+84e4b7469f9c4b6c9e73733fa28788730fd30379,Projective complex matrix factorization for facial expression recognition,"Duong et al. EURASIP Journal on Advances in Signal Processing  (2018) 2018:10
+DOI 10.1186/s13634-017-0521-9
+EURASIP Journal on Advances
+in Signal Processing
+R ES EAR CH
+Projective complex matrix factorization for
+facial expression recognition
+Viet-Hang Duong1, Yuan-Shan Lee1, Jian-Jiun Ding2, Bach-Tung Pham1, Manh-Quan Bui1, Pham The Bao2
+nd Jia-Ching Wang1,3*
+Open Access"

+84968d6488e87c99b8560ab33110a5bf85aa5761,Object category learning and retrieval with weak supervision,"Object category learning and retrieval with
+weak supervision
+Steven Hickson, Anelia Angelova, Irfan Essa, Rahul Sukthankar
+Google Brain / Google Research
+(shickson, anelia, irfanessa,"

+84be05dd82a7208a6e7b3d238df27b123cc917ce,Revisiting Visual Question Answering Baselines,"Revisiting Visual Question Answering Baselines
+Allan Jabri, Armand Joulin, and Laurens van der Maaten
+Facebook AI Research"

+84c8b29103480cf6f2b93e2fd4225b0d9d535ed6,Playing hide and seek with a mobile companion robot,"Playing Hide and Seek with a Mobile
+Companion Robot
+Michael Volkhardt, Steffen Mueller, Christof Schroeter, Horst-Michael Gross
+Neuroinformatics and Cognitive Robotics Lab
+Ilmenau University of Technology
+98684 Ilmenau, Germany
+Email:"

+846f3857976ba437e0592a848e47f6a3370880a3,3D Face Recognition Based on Depth and Intensity Gabor Features using Symbolic PCA and AdaBoost,"International Journal of Signal Processing, Image Processing and Pattern Recognition
+Vol.6, No.5 (2013), pp.1-12
+http://dx.doi.org/10.14257/ijsip.2013.6.5.01
+D Face Recognition Based on Depth and Intensity Gabor
+Features using Symbolic PCA and AdaBoost
+P. S. Hiremath and Manjunatha Hiremath
+Department of Computer Science
+Gulbarga University, Gulbarga – 585106
+Karnataka, India,"

+844568d9e49ec34536502bb8c66d5578c962abd6,From Virtual to Real World Visual Perception Using Domain Adaptation - The DPM as Example,"Invited book chapter to appear in Domain Adaptation in Computer Vision Applications, Springer Series: Advances
+in Computer Vision and Pattern Recognition, Edited by Gabriela Csurka. Written during Summer 2016.
+From Virtual to Real World Visual Perception using Domain
+Adaptation – The DPM as Example
+Computer Vision Center (CVC) and Dpt. Ci`encies de la Computaci´o (DCC),
+Antonio M. L´opez
+Universitat Aut`onoma de Barcelona (UAB)
+Jiaolong Xu
+Jos´e L. G´omez
+David V´azquez
+CVC and DCC, UAB
+CVC and DCC, UAB
+CVC and DCC, UAB
+Germ´an Ros
+CVC and DCC, UAB
+December 30, 2016"

+84fa126cb19d569d2f0147bf6f9e26b54c9ad4f1,Improved Boosting Performance by Explicit Handling of Ambiguous Positive Examples,"Improved Boosting Performance by Explicit
+Handling of Ambiguous Positive Examples
+Miroslav Kobetski and Josephine Sullivan"

+84508e846af3ac509f7e1d74b37709107ba48bde,Use of the Septum as a Reference Point in a Neurophysiologic Approach to Facial Expression Recognition,"Use of the Septum as a Reference Point in a Neurophysiologic Approach to
+Facial Expression Recognition
+Igor Stankovic and Montri Karnjanadecha
+Department of Computer Engineering, Faculty of Engineering,
+Prince of Songkla University, Hat Yai, Songkhla, 90112 Thailand
+Telephone: (66)080-7045015, (66)074-287-357
+E-mail:"

+84c8eb2db35f7fd38c906ced741e2c5470ba7544,Deep Control - a simple automatic gain control for memory efficient and high performance training of deep convolutional neural networks,"Deep Control - a simple automatic gain control for memory
+efficient and high performance training of deep
+onvolutional neural networks
+Brendan Ruff
+Submitted to BMVC 2017, 2nd May 2017
+Patent application GB1619779.0, 23rd Nov 2016"

+841a5de1d71a0b51957d9be9d9bebed33fb5d9fa,PCANet: A Simple Deep Learning Baseline for Image Classification?,"PCANet: A Simple Deep Learning Baseline for
+Image Classification?
+Tsung-Han Chan, Member, IEEE, Kui Jia, Shenghua Gao, Jiwen Lu, Senior Member, IEEE,
+Zinan Zeng, and Yi Ma, Fellow, IEEE"

+84fd7c00243dc4f0df8ab1a8c497313ca4f8bd7b,Perceived Age Estimation from Face Images,"We are IntechOpen,
+the world’s leading publisher of
+Open Access books
+Built by scientists, for scientists
+,800
+16,000
+Open access books available
+International  authors and editors
+Downloads
+Our authors are among the
+Countries delivered to
+TOP 1%
+2.2%
+most cited scientists
+Contributors from top 500 universities
+Selection of our books indexed in the Book Citation Index
+in Web of Science™ Core Collection (BKCI)
+Interested in publishing with us?
+Contact
+Numbers displayed above are based on latest data collected."

+8411fe1142935a86b819f065cd1f879f16e77401,Facial Recognition using Modified Local Binary Pattern and Random Forest,"International Journal of Artificial Intelligence & Applications (IJAIA), Vol. 4, No. 6, November 2013
+Facial Recognition using Modified Local Binary
+Pattern and Random Forest
+Brian O’Connor and Kaushik Roy
+Department of Computer Science,
+North Carolina A&T State University,
+Greensboro, NC 27411"

+84187adc5e6412123405102bb3c2f0428713593c,Quad-Tree based Image Encoding Methods for Data-Adaptive Visual Feature Learning,"IPSJ SIG Technical Report
+Quad-Tree based Image Encoding Methods for
+Data-Adaptive Visual Feature Learning
+Cuicui Zhang1,a) Xuefeng Liang1,b) Takashi Matsuyama1,c)"

+84a20d0a47c0d826b77f73075530d618ba7573d2,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"

+84124eba5ccd5a25d2275c3dd6d2f15e30225ef7,People counting with image retrieval using compressed sensing,"014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP)
+978-1-4799-2893-4/14/$31.00 ©2014 Crown
+Homa Foroughi, Nilanjan Ray, Hong Zhang
+Index  Terms—  compressed  sensing,  people  counting,
+. INTRODUCTION"

+84f6f20496fadb975922b47528fd94c71e872950,Dissimilarity-based people re-identification and search for intelligent video surveillance,"Ph.D. in Electronic and Computer Engineering
+Dept. of Electrical and Electronic Engineering
+University of Cagliari
+Dissimilarity-based people
+re-identification and search for
+intelligent video surveillance
+Riccardo Satta
+Advisor: Prof. Fabio Roli
+Co-advisor: Prof. Giorgio Fumera
+Curriculum: ING-INF/05 - Sistemi di Elaborazione delle Informazioni
+XXV Cycle
+April 2013"

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

+4a45b8f8decc178305af06d758ac7428a9070fad,Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data,"Augmented CycleGAN: Learning Many-to-Many Mappings
+from Unpaired Data
+Amjad Almahairi 1 † Sai Rajeswar 1 Alessandro Sordoni 2 Philip Bachman 2 Aaron Courville 1 3"

+4a70c6e14bcd7a44838fdabdcdb33bc026c907b4,Allocentric Pose Estimation,"Allocentric Pose Estimation
+Jos´e Oramas M.
+Luc De Raedt
+Tinne Tuytelaars
+KU Leuven, ESAT-PSI, iMinds
+KU Leuven, CS-DTAI
+KU Leuven, ESAT-PSI, iMinds"

+4a9831e5fec549edee454709048a51997ef60fb7,Did the Model Understand the Question?,"Did the Model Understand the Question?
+Pramod K. Mudrakarta
+University of Chicago
+Ankur Taly
+Google Brain
+Mukund Sundararajan
+Kedar Dhamdhere
+Google
+Google"

+4af25075729aa4d0fa4ecf6c948f59ec15bf9565,ii DOCUMENT EVOLUTION Version Date,"Project N° IST-2002-507634 - BioSecure
+D 9.1.2 - Revision: b3
+4 June 2005
+Contract Number :
+Project Acronym :
+Project Title :
+Instrument :
+Start Date of Project :
+Duration :
+Deliverable Number :
+Title of Deliverable :
+Contractual Due Date :
+Actual Date of Completion :
+IST-2002-507634
+BioSecure
+Biometrics for Secure Authentication
+Network of Excellence
+01 June, 2004
+6 months
+D 9.1.2"

+4af133c49d39c8b7aa9d82c17f1fd2c70e36233f,Recognition of Facial Gestures using Gabor Filter,"Recognition of Facial Gestures using Gabor Filter
+{tag}                                                                       {/tag}
+International Journal of Computer Applications
+© 2011 by IJCA Journal
+Number 8 - Article 2
+Year of Publication: 2011
+Authors:
+Subhashini Ramalingam
+Dr Ilango Paramasivam
+Mangayarkarasi Ramiah
+10.5120/3153-3990"

+4a2d54ea1da851151d43b38652b7ea30cdb6dfb2,Direct recognition of motion-blurred faces,"Direct Recognition of Motion Blurred Faces
+Kaushik Mitra, Priyanka Vageeswaran and Rama Chellappa"

+4ab84f203b0e752be83f7f213d7495b04b1c4c79,Concave Losses for Robust Dictionary Learning,"CONCAVE LOSSES FOR ROBUST DICTIONARY LEARNING
+Rafael Will M. de Araujo, R. Hirata Jr ∗
+Alain Rakotomamonjy †
+University of S˜ao Paulo
+Institute of Mathematics and Statistics
+Rua do Mat˜ao, 1010 – 05508-090 – S˜ao Paulo-SP, Brazil
+Universit´e de Rouen Normandie
+LITIS EA 4108
+76800 Saint- ´Etienne-du-Rouvray, France"

+4a75d59c9c57da420441190071ba545eb4a75e1e,Deep Mixture of Diverse Experts for Large-Scale Visual Recognition,"Deep Mixture of Diverse Experts for Large-Scale
+Visual Recognition
+Tianyi Zhao, Jun Yu, Zhenzhong Kuang, Wei Zhang, Jianping Fan"

+4a1b67d1f30abeeecb270666605025d9d78971ff,Energy-based adaptive skin segmentation for hand and head detection,"Noname manuscript No.
+(will be inserted by the editor)
+Energy-based adaptive skin segmentation for hand and
+head detection
+Michal Kawulok
+Received: date / Accepted: date"

+4a3758f283b7c484d3f164528d73bc8667eb1591,Attribute Enhanced Face Aging with Wavelet-based Generative Adversarial Networks,"Attribute Enhanced Face Aging with Wavelet-based Generative Adversarial
+Networks
+Yunfan Liu, Qi Li, and Zhenan Sun∗
+Center for Research on Intelligent Perception and Computing, CASIA
+National Laboratory of Pattern Recognition, CASIA
+{qli,"

+4a19f6545473363b16d4a10ed13fef29b38856d3,What is a Salient Object? A Dataset and a Baseline Model for Salient Object Detection,"What is a salient object? A dataset and
+baseline model for salient object detection
+Ali Borji, Member, IEEE"

+4af997701ce14ba689f7f964a72bcae0a2432435,The role of gaze direction in face memory in autism spectrum disorder.,"RESEARCH ARTICLE
+The Role of Gaze Direction in Face Memory in Autism
+Spectrum Disorder
+Safa R. Zaki and Shannon A. Johnson
+We tested the hypothesis that the direction of gaze of target faces may play a role in reported face recognition deficits
+in those with an autism spectrum disorder (ASD). In previous studies, typically developing children and adults better
+remembered faces in which the eyes were gazing directly at them compared with faces in which the eyes were averted.
+In the current study, high-functioning children and adolescents with an ASD and age- and IQ-matched typically
+developing controls were shown a series of pictures of faces in a study phase. These pictures were of individuals whose
+gaze was either directed straight ahead or whose gaze was averted to one side. We tested the memory for these study faces
+in a recognition task in which the faces were shown with their eyes closed. The typically developing group better
+remembered the direct-gaze faces, whereas the ASD participants did not show this effect. These results imply that there
+may be an important link between gaze direction and face recognition abilities in ASD. Autism Res 2013, (cid:129)(cid:129): (cid:129)(cid:129)–(cid:129)(cid:129).
+© 2013 International Society for Autism Research, Wiley Periodicals, Inc.
+Keywords: autism spectrum disorder; face recognition; eye-contact; face-processing; gaze
+Face processing is a pivotal component of human
+ommunication and interaction. There is evidence that
+people with an autism spectrum disorder (ASD), a disor-
+der characterized by impairments in social interaction
+nd communication as well as restricted range of interests"

+4ac4b0a2d06ff5df1cc4941f8ae47843b4593bba,American Sign Language fingerspelling recognition from video: Methods for unrestricted recognition and signer-independence,"American Sign Language fingerspelling recognition
+from video: Methods for unrestricted recognition
+nd signer-independence
+Taehwan Kim
+A thesis submitted
+in partial fulfillment of the requirements for
+the degree of
+Doctor of Philosophy in Computer Science
+t the
+Toyota Technological Institute at Chicago
+Chicago, Illionois
+August 2016
+Thesis Committee:
+Vassilis Athitsos
+Karen Livescu (Thesis Advisor)
+Greg Shakhnarovich
+Yisong Yue"

+4a4da3d1bbf10f15b448577e75112bac4861620a,"Face , Expression , and Iris Recognition","FACE, EXPRESSION, AND IRIS RECOGNITION
+USING LEARNING-BASED APPROACHES
+Guodong Guo
+A dissertation submitted in partial fulfillment of
+the requirements for the degree of
+Doctor of Philosophy
+(Computer Sciences)
+t the
+UNIVERSITY OF WISCONSIN–MADISON"

+4abd49538d04ea5c7e6d31701b57ea17bc349412,Recognizing Fine-Grained and Composite Activities Using Hand-Centric Features and Script Data,"Recognizing Fine-Grained and Composite Activities
+using Hand-Centric Features and Script Data
+Marcus Rohrbach · Anna Rohrbach · Michaela Regneri ·
+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"

+4af36d3ce93f7ed82a7dc321fca926d540691b33,ADVISE: Symbolism and External Knowledge for Decoding Advertisements,[cs.CV]  29 Jul 2018

+4a95dacb1d38a07e73007082b8ed7651a4b5277c,Region labelling using a Point-Based Coherence Criterion,"Region labelling using a Point-Based Coherence Criterion
+Hichem Houissa(cid:2) and Nozha Boujemaa(cid:2)
+(cid:2)INRIA Rocquencourt, BP 105,78153, Le Chesnay Cedex-France"

+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,"

+4a56d5e483ddea93f14bfbe350a3063b2b9126cb,Iterative Action and Pose Recognition Using Global-and-Pose Features and Action-Specific Models,"Iterative Action and Pose Recognition
+using Global-and-Pose Features and Action-specific Models
+Norimichi Ukita
+Nara Institute of Science and Technology"

+4a53ac7f99a42da17a7f1ba04f5c6d6831e31151,Beyond Bilinear: Generalized Multi-modal Factorized High-order Pooling for Visual Question Answering,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Beyond Bilinear: Generalized Multi-modal
+Factorized High-order Pooling
+for Visual Question Answering
+Zhou Yu, Jun Yu Member, IEEE, Chenchao Xiang, Jianping Fan, Dacheng Tao Fellow, IEEE"

+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
+Computing Lab.,
+Samsung Advanced Institute of Technology
+ombined  by  Yang  and  etc  [7].  The  sparsification  of  LFA
+helps the reduction of dimension of image in LDA scheme
+nd  local  topological  property  is  more  useful  than  holistic
+property of PCA in recognition, but there is still structural
+problem  because  the  method  to  select  the  features  is
+designed  for  minimization  of  reconstruction  error,  not  for
+increasing discriminability in face model.
+In  this  paper,  we  proposed  the  novel  recognition
+lgorithm  to  merge LFA  and LDA  method. We do  not use
+the existing sparsification method for selecting features but
+dopt  the  two-layer  block  model  to  make  several  groups
+with  topographic  local  features  in  similar  position.  Each
+local  block,  flocked  local  features,  can  represent  its  own
+local  property  and  at
+time  holistic  face"

+4a2062ba576ca9e9a73b6aa6e8aac07f4d9344b9,Fusing Deep Convolutional Networks for Large Scale Visual Concept Classification,"Fusing Deep Convolutional Networks for Large
+Scale Visual Concept Classification
+Hilal Ergun and Mustafa SertB
+Department of Computer Engineering
+Bas¸kent University
+06810 Ankara, TURKEY"

+4a8085987032e85ac8017d9977a4b76b0d8fa4ac,Object Recognition using Template Matching,"Object Recognition using Template Matching
+Nikhil Gupta, Rahul Gupta, Amardeep Singh, Matt Wytock
+December 12, 2008
+Introduction
+Building 3D models
+Object Recognition is inherently a hard problem in
+omputer vision. Current standard object recogni-
+tion techniques require small training data sets of
+images and apply sophisticated algorithms. These
+methods tend to perform poorly because the small
+data set does not reflect the true distribution (selec-
+tion bias).
+Recently, Torralba et al [1] have proposed to de-
+velop a large data set of images (80 million images)
+nd apply simple algorithms for object recognition.
+Their method performs relatively well for some cer-
+tain classes of objects. Nevertheless, their data sets
+require very large storage and are noisy.
+In this project, we develop precise 3D models of
+objects and use these to apply simple learning al-"

+4ac3cd8b6c50f7a26f27eefc64855134932b39be,Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network,"Robust Facial Landmark Detection
+via a Fully-Convolutional Local-Global Context Network
+Daniel Merget
+Matthias Rock
+Gerhard Rigoll
+Technical University of Munich"

+4a0f152a07a9becb986b516a1281a4482b38db81,Video Compression for Object Detection Algorithms,"CONFIDENTIAL. Limited circulation. For review only.
+Preprint submitted to 24th International Conference on Pattern Recognition.
+Received January 22, 2018."

+4ad51a99e489939755f1d4f5d1f5bc509c49e96d,Preferences for facially communicated big five personality traits and their relation to self-reported big five personality,"Personality and Individual Differences 134 (2018) 195–200
+Contents lists available at ScienceDirect
+Personality and Individual Differences
+journal homepage: www.elsevier.com/locate/paid
+Preferences for facially communicated big five personality traits and their
+relation to self-reported big five personality
+Donald F. Sacco⁎, Mitch Brown
+The University of Southern Mississippi, United States of America
+A R T I C L E I N F O
+A B S T R A C T
+Keywords:
+Personality
+Face perception
+Big five
+Similarity
+Complementarity
+A growing body of research has begun to document that core personality traits are associated with specific facial
+structures, and that individuals are sensitive to these facial cues, as indexed by preferences for faces commu-
+nicating higher or lower levels of specific traits. We explored how self-reported Big Five personality traits in-
+fluence preferences for facially-communicated Big Five personality in targets. Participants selected among pairs"

+4a31ca27b987606ae353b300488068b5240633ee,WSABIE: Scaling Up to Large Vocabulary Image Annotation,"WSABIE: Scaling Up To Large Vocabulary Image Annotation
+Jason Weston1 and Samy Bengio1 and Nicolas Usunier2
+Google, USA
+Universit´e Paris 6, LIP6, France"

+4abaebe5137d40c9fcb72711cdefdf13d9fc3e62,Dimension Reduction for Regression with Bottleneck Neural Networks,"Dimension Reduction for Regression
+with Bottleneck Neural Networks
+Elina Parviainen
+BECS, Aalto University School of Science and Technology, Finland"

+4a64b020c72db15a729939a2c041ef4f5830f0f7,Challenges of Ground Truth Evaluation of Multi-target Tracking,"Challenges of Ground Truth Evaluation of Multi-Target Tracking
+Anton Milan1
+Konrad Schindler2
+Stefan Roth1
+Department of Computer Science, TU Darmstadt
+Photogrammetry and Remote Sensing Group, ETH Z¨urich"

+4abaf7d4b9577131cb2f93e913f8bd83f924da4c,Towards learning through robotic interaction alone: the joint guided search task,"Towards learning through robotic interaction alone:
+the joint guided search task
+Nick DePalma and Cynthia Breazeal
+0 Ames Str. Cambridge MA
+Personal Robots Group
+MIT Media Lab"

+4a3a9d02999fcf0895db31d644f40c98254ac4b1,Vision-based 3D bicycle tracking using deformable part model and Interacting Multiple Model filter,"Vision-based 3D Bicycle Tracking using Deformable Part Model
+nd Interacting Multiple Model Filter
+Hyunggi Cho, Paul E. Rybski and Wende Zhang"

+4a4a3effdfffb51a0f82d3b0904c017086996ac6,Conceptual and methodological challenges for neuroimaging studies of autistic spectrum disorders,"Mazzone and Curatolo Behavioral and Brain Functions 2010, 6:17
+http://www.behavioralandbrainfunctions.com/content/6/1/17
+REVIEW
+Conceptual and methodological challenges for
+neuroimaging studies of autistic spectrum
+disorders
+Luigi Mazzone1*, Paolo Curatolo2
+Open Access"

+4a9afcc6ba45c0ff05ea93d306ff73ede32f7ed4,Multiple-shot People Re-identify based on Feature Selection with Sparsity,"International Journal of Hybrid Information Technology
+Vol.8, No.1 (2015), pp.27-34
+http://dx.doi.org/10.14257/ijhit.2015.8.1.03
+Multiple-shot People Re-identify based on Feature Selection with
+Sparsity
+Dongping Zhang, Yanjie Li, Jiao Xu and Ye Shen
+College of Information Engineering, China Jiliang University, Hangzhou 310018,
+China"

+4a88237199595feaa3f0e3289cbdd201a3ce28ff,Multi-Domain Pose Network for Multi-Person Pose Estimation and Tracking,"Multi-Domain Pose Network for Multi-Person
+Pose Estimation and Tracking
+Hengkai Guo1(cid:63), Tang Tang1, Guozhong Luo1, Riwei Chen1, Yongchen Lu1,
+nd Linfu Wen1
+ByteDance AI Lab"

+4a227881f5763d2bda2e545eac346389b2b2017a,Model based image interpretation with application to facial expression recognition,"d d d
+d d d d
+ddd ddd ddd ddd
+Institut für Informatik
+der Technischen Universität München
+Model-based Image Interpretation with
+Application to Facial Expression
+Recognition
+Dissertation
+Matthias Wimmer"

+4a869781d074f6be7a5001c59e41b25145bdd830,DeltaPhish: Detecting Phishing Webpages in Compromised Websites,"DeltaPhish: Detecting Phishing Webpages
+in Compromised Websites∗
+Igino Corona1,2, Battista Biggio1,2, Matteo Contini2, Luca Piras1,2, Roberto Corda2, Mauro
+Mereu2, Guido Mureddu2, Davide Ariu1,2, and Fabio Roli1,2
+Pluribus One, via Bellini 9, 09123 Cagliari, Italy
+DIEE, University of Cagliari, Piazza d’Armi 09123, Cagliari, Italy"

+4a303369828d9334022a0f5e8ad2b1a715d1c0c9,Deep Metric Learning by Online Soft Mining and Class-Aware Attention,"Deep Metric Learning by Online Soft Mining and Class-Aware Attention
+Xinshao Wang1,2, Yang Hua1,2, Elyor Kodirov2, Guosheng Hu1,2, Neil M. Robertson1,2
+School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, UK
+{xwang39, y.hua, {elyor,
+Anyvision Research Team, UK"

+4ae3cdba121dec886a84eff146e438a55513002c,Interactive Hausdorff distance computation for general polygonal models,"Interactive Hausdorff Distance Computation for General Polygonal Models
+Min Tang∗
+Minkyoung Lee†
+Ewha Womans University, Seoul, Korea
+Young J. Kim‡
+http://graphics.ewha.ac.kr/HDIST
+Figure 1: Interactive Hausdorff Distance Computation. Our algorithm can compute Hausdorff distance between complicated models at
+interactive rates (the first three figures). Here, the green line denotes the Hausdorff distance. This algorithm can also be used to find
+penetration depth (PD) for physically-based animation (the last two figures). It takes only a few milli-seconds to run on average."

+4aeb87c11fb3a8ad603311c4650040fd3c088832,Self-paced Mixture of Regressions,"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)
+SamplesSelected SamplesOutliersMoRSPMoR (ours)6361242024Figure1:Inter-componentimbalanceandintra-componentoutliersinMixtureofRegression(MoR)approaches.StandardMoRcannotlearnaccurateregressors(denotedbythedashedlines).Byintroduc-inganovelself-pacedscheme,ourSPMoRapproach(denotedbythesolidlines)selectsbalancedandconfidenttrainingsamplesfromeachcomponent,whilepreventlearningfromtheoutliersthroughoutthetrainingprocedure.theywillbeinevitablybiasedbydatadistribution:lowre-gressionerrorindenselysampledspacewhilehigherrorineverywhereelse.Foraddressingtheissuesofthedatadiscontinuityandheterogeneity,thedivide-and-conquerapproacheswerepro-posedlately.Thecoreideaistolearntocombinemultiplelocalregressors.Forinstance,thehierarchical-based[Hanetal.,2015]andtree-basedregression[HaraandChellappa,2014]makehardpartitionsrecursively,andthesubsetsofsam-plesmaynotbehomogeneousforlearninglocalregressors.WhileMixtureofRegressions(MoR)[Jacobsetal.,1991;JordanandXu,1995]distributesregressionerroramonglocalregressorsbymaximizinglikelihoodinthejointinput-outputspace.Theseapproachesreduceoverallerrorbyfittingre-gressionlocallyandreliefsthebiasbydiscontinuousdatadistribution.Unfortunately,theaforementionedapproachesstillcannotachievesatisfactoryperformancewhenapplyinginsomereal-worldapplications.Themainreasonisthattheseapproachestendtobesensitivetotheintra-componentoutliers(i.e.,thenoisytrainingdataresidingincertaincomponents)andtheinter-componentimbalance(i.e.,thedifferentamountsoftrain-"

+4a3d96b2a53114da4be3880f652a6eef3f3cc035,A Dictionary Learning-Based 3D Morphable Shape Model,"A Dictionary Learning-Based
+D Morphable Shape Model
+Claudio Ferrari
+, Giuseppe Lisanti, Stefano Berretti
+, Senior Member, IEEE, and Alberto Del Bimbo"

+4aa18f3a1c85f7a09d3b0d6b28c0339199892d60,The Application of Neural Networks for Facial Landmarking on Mobile Devices,

+4a6fcf714f663618657effc341ae5961784504c7,Scaling Up Class-Specific Kernel Discriminant Analysis for Large-Scale Face Verification,"Scaling up Class-Specific Kernel Discriminant
+Analysis for large-scale Face Verification
+Alexandros Iosifidis, Senior Member, IEEE, and Moncef Gabbouj, Fellow, IEEE"

+4a855d86574c9bd0a8cfc522bc1c77164819c0bc,PixelCNN Models with Auxiliary Variables for Natural Image Modeling,"PixelCNN Models with Auxiliary Variables for Natural Image Modeling
+Alexander Kolesnikov 1 Christoph H. Lampert 1"

+2409557812a3d26258949ba73a05031591f42bdc,Exact Discovery of Time Series Motifs,"Abdullah Mueen
+Exact Discovery of Time Series Motifs
+Eamonn Keogh
+Qiang Zhu
+Sydney Cash1,2       Brandon Westover1,3
+Massachusetts General Hospital, 2Harvard Medical School, 3Brigham and Women's Hospital
+University of California – Riverside
+{mueen, eamonn,"

+24ec4cd704d07865ce31fe539d00cd2597b5dfc9,Face Localization in the Neural Abstraction Pyramid,Face Localization

+24e98b70dc6982af2dd3a5bb4e501cc1b61f7d2b,LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural Images,"SUBMITTED TO IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018
+LCR-Net++: Multi-person 2D and 3D Pose
+Detection in Natural Images
+Gr´egory Rogez, Philippe Weinzaepfel, and Cordelia Schmid, Fellow, IEEE"

+24c7554823bb8c1c0729c4ece5f3e50965aea74e,Robust Computation of Linear Models by Convex Relaxation,"ROBUST COMPUTATION OF LINEAR MODELS,
+OR HOW TO FIND A NEEDLE IN A HAYSTACK
+GILAD LERMAN∗, MICHAEL MCCOY†, JOEL A. TROPP†, AND TENG ZHANG◦"

+245130ac792531ca9981f9c5907190eac19ebb50,Detecting Objects using Unsupervised Parts-based Attributes∗,"Detecting Objects using Unsupervised Parts-based Attributes∗
+Santosh K. Divvala1, Larry Zitnick2, Ashish Kapoor2 , Simon Baker2
+Carnegie Mellon University.
+Microsoft Research.
+{larryz, ashishk,"

+24115d209e0733e319e39badc5411bbfd82c5133,Long-Term Recurrent Convolutional Networks for Visual Recognition and Description,"Long-term Recurrent Convolutional Networks for
+Visual Recognition and Description
+Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, Subhashini Venugopalan, Sergio Guadarrama,
+Kate Saenko, Trevor Darrell"

+24c442ac3f6802296d71b1a1914b5d44e48b4f29,Pose and Expression-Coherent Face Recovery in the Wild,"Pose and expression-coherent face recovery in the wild
+Xavier P. Burgos-Artizzu
+Joaquin Zepeda
+Technicolor, Cesson-S´evign´e, France
+Franc¸ois Le Clerc
+Patrick P´erez"

+245922e5251c103c2021577cc0f99791d748ac64,Fusion of Intraoperative 3D B-mode and Contrast-Enhanced Ultrasound Data for Automatic Identification of Residual Brain Tumors,"Article
+Fusion of Intraoperative 3D B-mode and
+Contrast-Enhanced Ultrasound Data for Automatic
+Identification of Residual Brain Tumors
+Elisee Ilunga-Mbuyamba 1,3, Dirk Lindner 2, Juan Gabriel Avina-Cervantes 1,∗, Felix Arlt 2,
+Horacio Rostro-Gonzalez 1, Ivan Cruz-Aceves 4 and Claire Chalopin 3
+Telematics (CA), Engineering Division (DICIS), University of Guanajuato, Campus Irapuato-Salamanca,
+Carr. Salamanca-Valle km 3.5 + 1.8, Comunidad de Palo Blanco, Salamanca, Gto. 36885, Mexico;
+(E.I.-M.); (H.R.-G.)
+Department of Neurosurgery, University Hospital Leipzig, Leipzig 04103, Germany;
+(D.L.); (F.A.)
+Innovation Center Computer Assisted Surgery (ICCAS), University of Leipzig, Leipzig 04103, Germany;
+Centro de Investigacion en Matematicas (CIMAT), A.C., Jalisco S/N, Col. Valenciana,
+Guanajuato, Gto. 36000, Mexico;
+* Correspondence: Tel.: +52-46-4647-9940 (ext. 2400)
+Academic Editor: Hideyuki Hasegawa
+Received: 15 February 2017; Accepted: 17 April 2017; Published: 19 April 2017"

+244a6d4f5f745f8c2a58a6a70d7ba2b91300c118,RADON Transform and PCA based 3 D Face Recognition using KNN and SVM,"International Journal of Computer Applications (0975 – 8887)
+Recent Advances in Information Technology, 2014
+RADON Transform and PCA based 3D Face Recognition
+using KNN and SVM
+P. S. Hiremath
+Department of Computer Science
+Gulbarga University
+Gulbarga, KA, India
+Manjunatha Hiremath
+Department of Computer Science
+Gulbarga University
+Gulbarga, KA, India
+integral
+researches
+society.Many"

+247b14570940601f5c7a2da1db532ecf1c302288,Dual Attention Networks for Multimodal Reasoning and Matching,"Dual Attention Networks for Multimodal Reasoning and Matching
+Hyeonseob Nam
+Naver Search Solutions
+Jung-Woo Ha
+Naver Labs
+Jeonghee Kim
+Naver Labs"

+245f8ec4373e0a6c1cae36cd6fed5a2babed1386,Lucas Kanade Optical Flow Computation from Superpixel based Intensity Region for Facial Expression Feature Extraction,"J. Appl. Environ. Biol. Sci., 7(3S)1-10, 2017
+© 2017, TextRoad Publication
+ISSN: 2090-4274
+Journal of Applied Environmental
+nd Biological Sciences
+www.textroad.com
+Lucas Kanade Optical Flow Computation from Superpixel based Intensity
+Region for Facial Expression Feature Extraction
+Halina Hassan1,2, Abduljalil Radman1, Shahrel Azmin Suandi1, Sazali Yaacob2
+Intelligent Biometric Group, School of Electrical and Electronics Engineering, Universiti Sains Malaysia,
+Electrical, Electronics and Automation Section, Universiti Kuala Lumpur Malaysian Spanish Institute, 09000
+Engineering Campus, 14300 Nibong Tebal, Pulau Pinang, Malaysia
+Kulim Hi-Tech Park, Kedah, Malaysia
+Received: February 21, 2017
+Accepted: May 14, 2017"

+2484a34597a40d846c084e827fda299fd0927008,Image Matching Algorithm based on SURF Feature-point and DAISY Descriptor,"Image Matching Algorithm based on
+Feature-point and DAISY Descriptor
+School of Business, Sichuan Agricultural University, Sichuan Dujianyan 611830, China
+Li Li
+is  the  research"

+24b6d839662e5d56f17fc26eab4d2901f6835ddf,Real Time Lip Motion Analysis for a Person Authentication System using Near Infrared Illumination,"REAL TIME LIP MOTION ANALYSIS FOR A
+PERSON AUTHENTICATION SYSTEM USING NEAR
+INFRARED ILLUMINATION
+Faisal Shafait, Ralph Kricke, Islam Shdaifat, Rolf-Rainer Grigat
+TUHH Vision Systems (4-08/1)
+Harburger Schloßstr. 20, 21079 Hamburg, Germany
+Tel: +49 40 42878-3125, Fax: +49 40 42878-2911
+http://www.ti1.tu-harburg.de
+in: 2006 IEEE International Conference on Image Processing. See also BIBTEX entry below.
+BIBTEX:
+uthor = {Faisal Shafait and Ralph Kricke and Islam Shdaifat and Rolf-Rainer Grigat},
+title = {REAL TIME LIP MOTION ANALYSIS FOR A PERSON AUTHENTICATION SYSTEM
+USING NEAR INFRARED ILLUMINATION},
+ooktitle = {2006 IEEE International Conference on Image Processing},
+year = {2006},
+pages = {1957-1960},
+month = {oct},
+url = {http://www.ti1.tu-harburg.de/Publikationen}
+scheduled for October 8-11, 2006 in Atlanta, Georgia, USA. Personal use of this material is permitted.
+However, permission to reprint/republish this material for advertising or promotional purposes or for cre-"

+246218fd60d47975990908c48274341b47255292,Marker-less motion capture in general scenes with sparse multi-camera setups,"Marker-less Motion Capture in General
+Scenes with Sparse Multi-camera Setups
+Ahmed Elhayek
+Saarbr¨ucken, Germany
+Dissertation
+zur Erlangung des Grades des
+Doktors der Ingenieurswissenschaften (Dr.-Ing.)
+der Naturwissenschaftlich-Technischen Fakult¨aten
+der Universit¨at des Saarlandes
+March 2015"

+2491203e3b268235ea0269f41dbebd113d2a1b0a,"Optimal multiplexed sensing: bounds, conditions and a graph theory link.","Optimal multiplexed sensing: bounds,
+onditions and a graph theory link
+Netanel Ratner,1 Yoav Y. Schechner,1,∗
+nd Felix Goldberg2
+Dept. Electrical Engineering, Technion - Israel Inst. Technology
+Haifa 32000, Israel
+Dept. Mathematics, Technion - Israel Inst. Technology
+Haifa 32000, Israel
+Corresponding author:"

+24e099e77ae7bae3df2bebdc0ee4e00acca71250,Robust Face Alignment Under Occlusion via Regional Predictive Power Estimation,"Robust face alignment under occlusion via regional predictive power
+estimation.
+Heng Yang; Xuming He; Xuhui Jia; Patras, I
+© 2015 IEEE
+For additional information about this publication click this link.
+http://qmro.qmul.ac.uk/xmlui/handle/123456789/22467
+Information about this research object was correct at the time of download; we occasionally
+make corrections to records, please therefore check the published record when citing. For
+more information contact"

+24e79933d8d71dd9e72e289d9d89a061ccbb01c3,Analysis of Principal Component Analysis (PCA) Face Recognition: Effects of Similarity Measure,"Analysis of Principal Component Analysis (PCA)
+Face Recognition: Effects of Similarity Measure
+Arjun V Mane#1, Ramesh R Manza#2, Karbhari V Kale#3
+#Department of Computer Science & Information Technology,
+Dr. Babasaheb Ambedkar Marathwada University, Aurangabad (MS) India"

+2431eeb2df8877d78901fa37a091a23dc207c2b2,Rotation-Invariant HOG Descriptors Using Fourier Analysis in Polar and Spherical Coordinates,"Int J Comput Vis
+DOI 10.1007/s11263-013-0634-z
+Rotation-Invariant HOG Descriptors Using Fourier Analysis
+in Polar and Spherical Coordinates
+Kun Liu · Henrik Skibbe · Thorsten Schmidt ·
+Thomas Blein · Klaus Palme · Thomas Brox ·
+Olaf Ronneberger
+Received: 30 September 2012 / Accepted: 21 May 2013
+© Springer Science+Business Media New York 2013"

+2450c618cca4cbd9b8cdbdb05bb57d67e63069b1,A connexionist approach for robust and precise facial feature detection in complex scenes,"A Connexionist Approach for Robust and Precise Facial Feature Detection in
+Complex Scenes
+Stefan Duffner and Christophe Garcia
+France Telecom Research & Development
+, rue du Clos Courtel
+5512 Cesson-S´evign´e, France
+fstefan.duffner,"

+246fa412f26d5bf5b151a7c3f5287141bd08ae0b,Deep Metric Learning for the Target Cost in Unit-Selection Speech Synthesizer,"Interspeech 2018
+-6 September 2018, Hyderabad
+0.21437/Interspeech.2018-1305"

+24041477d6e412e4afc441992f4b170831f725c7,International Journal of Advance Research in Computer Science and Management Studies,"Volume 3, Issue 10, October 2015
+International Journal of Advance Research in
+Computer Science and Management Studies
+Research Article / Survey Paper / Case Study
+Available online at: www.ijarcsms.com
+ISSN: 2321-7782 (Online)
+Automatic Face Naming by Using Fused Affinity Matrix
+Kadam Vaibhav Bharat1
+B.E. Computer Science
+Deshpande Supriya Ajay2
+B.E. Computer Science
+Alarm College of Engineering, Pune, India
+Alarm College of Engineering, Pune, India
+Malpure Sagar3
+B.E. Computer Science
+Choudhary Jitendra4
+B.E. Computer Science
+Alarm College of Engineering, Pune, India
+Alarm College of Engineering, Pune, India"

+244b57cc4a00076efd5f913cc2833138087e1258,Warped Convolutions: Efficient Invariance to Spatial Transformations,"Warped Convolutions: Efficient Invariance to Spatial Transformations
+Jo˜ao F. Henriques 1 Andrea Vedaldi 1"

+242ae7b1b1c3e1aafcbe9cef3cb23918c6f94f2c,Performance Evaluation of Biometric Template Update,"Performance Evaluation
+of Biometric Template Update
+Romain Giot and Christophe Rosenberger
+Université de Caen, UMR 6072 GREYC
+ENSICAEN, UMR 6072 GREYC
+CNRS, UMR 6072 GREYC
+Email:
+Email:
+Bernadette Dorizzi
+Institut Télécom; Télécom SudParis
+UMR 5157 SAMOVAR
+Email:"

+2475d216fd52994ac69ef922f4daf73e47f9535d,Joint Albedo Estimation and Pose Tracking from Video,"Joint Albedo Estimation and Pose Tracking
+from Video
+Sima Taheri, Student Member, IEEE, Aswin Sankaranarayanan, Member, IEEE,
+nd Rama Chellappa, Fellow, IEEE"

+24869258fef8f47623b5ef43bd978a525f0af60e,Données multimodales pour l ’ analyse d ’ image,"UNIVERSITÉDEGRENOBLENoattribuéparlabibliothèqueTHÈSEpourobtenirlegradedeDOCTEURDEL’UNIVERSITÉDEGRENOBLESpécialité:MathématiquesetInformatiquepréparéeauLaboratoireJeanKuntzmanndanslecadredel’ÉcoleDoctoraleMathématiques,SciencesetTechnologiesdel’Information,InformatiqueprésentéeetsoutenuepubliquementparMatthieuGuillauminle27septembre2010ExploitingMultimodalDataforImageUnderstandingDonnéesmultimodalespourl’analysed’imageDirecteursdethèse:CordeliaSchmidetJakobVerbeekJURYM.ÉricGaussierUniversitéJosephFourierPrésidentM.AntonioTorralbaMassachusettsInstituteofTechnologyRapporteurMmeTinneTuytelaarsKatholiekeUniversiteitLeuvenRapporteurM.MarkEveringhamUniversityofLeedsExaminateurMmeCordeliaSchmidINRIAGrenobleExaminatriceM.JakobVerbeekINRIAGrenobleExaminateur"

+246ec873db261257833231d657ec8995d686cc3e,Facing the implications: Dangerous world beliefs differentially predict men and Women's aversion to facially communicated..,"See	discussions,	stats,	and	author	profiles	for	this	publication	at:	https://www.researchgate.net/publication/315831650
+Facing	the	implications:	Dangerous	world
+eliefs	differentially	predict	men	and	Women's
+version	to	facially	communicated...
+Article		in		Personality	and	Individual	Differences	·	October	2017
+READS
+DOI:	10.1016/j.paid.2017.04.018
+CITATIONS
+authors,	including:
+Mitch	Brown
+University	of	Southern	Mississippi
+9	PUBLICATIONS			14	CITATIONS
+SEE	PROFILE
+Some	of	the	authors	of	this	publication	are	also	working	on	these	related	projects:
+Facially	Communicated	Extraversion	and	Social	Motives	View	project
+Grip	Strength	and	Perceptions	View	project
+All	content	following	this	page	was	uploaded	by	Mitch	Brown	on	09	April	2017.
+The	user	has	requested	enhancement	of	the	downloaded	file.	All	in-text	references	underlined	in	blue	are	added	to	the	original	document
+nd	are	linked	to	publications	on	ResearchGate,	letting	you	access	and	read	them	immediately."

+247df1d4fca00bc68e64af338b84baaecc34690b,Evaluation of Gender Classification Methods with Automatically Detected and Aligned Faces,"Review
+Procedure
+009/6/12
+Paper
+ “Evaluation of Gender Classification Methods
+with Automatically Detected and Aligned
+Faces”
+ Erno Makinen & Roope Raisamo
+ 2008
+Decision
+resizing
+lignment
+face detection
+resizing
+lassification
+resizing
+lignment
+lignment
+resizing
+face detection"

+24da9c1eb30ed5ef0052f760d5d847bf5cd1d2ba,A Machine-Learning Approach to Keypoint Detection and Landmarking on 3D Meshes,"Int J Comput Vis
+DOI 10.1007/s11263-012-0605-9
+A Machine-Learning Approach to Keypoint Detection
+nd Landmarking on 3D Meshes
+Clement Creusot · Nick Pears · Jim Austin
+Received: 14 October 2011 / Accepted: 17 December 2012
+© Springer Science+Business Media New York 2013"

+2475ad865b2102cef83a87adfe0d2e71d4791e53,A Supervised Clustering Algorithm for the Initialization of RBF Neural Network Classifiers,"A Supervised Clustering Algorithm for the Initialization
+of RBF Neural Network Classifiers
+Hakan Cevikalp, Diane Larlus, Frédéric Jurie
+To cite this version:
+Hakan Cevikalp, Diane Larlus, Frédéric Jurie. A Supervised Clustering Algorithm for the Ini-
+SIU ’07 - 15th Signal Processing and Com-
+tialization of RBF Neural Network Classifiers.
+munications Applications, Jun 2007, Eskisehir, Turkey.
+IEEE Computer society, pp.1-4, 2007,
+<10.1109/SIU.2007.4298803>. <hal-00203762>
+HAL Id: hal-00203762
+https://hal.archives-ouvertes.fr/hal-00203762
+Submitted on 14 Jan 2008
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est"

+2472d6e4459dd65cd77b5fce99220d3b30854408,Towards 3D object recognition via classification of arbitrary object tracks,"Towards 3D Object Recognition
+via Classification of Arbitrary Object Tracks
+Alex Teichman, Jesse Levinson, Sebastian Thrun
+Stanford Artificial Intelligence Laboratory
+{teichman, jessel,"

+243778aefb3c23d6774309c70217cb83f7204915,"The Mutex Watershed: Efficient, Parameter-Free Image Partitioning","The Mutex Watershed:
+Ef‌f‌icient, Parameter-Free Image Partitioning
+Steffen Wolf1⋆, Constantin Pape1,2⋆, Alberto Bailoni1, Nasim Rahaman1, Anna
+Kreshuk1,2, Ullrich K¨othe1, and Fred A. Hamprecht1
+HCI/IWR, University of Heidelberg, Germany
+EMBL Heidelberg, Germany"

+2465fc22e03faf030e5a319479a95ef1dfc46e14,Influence of different feature selection approaches on the performance of emotion recognition methods based on SVM,"______________________________________________________PROCEEDING OF THE 20TH CONFERENCE OF FRUCT ASSOCIATION
+Influence of Different Feature Selection Approaches
+on the Performance of Emotion Recognition
+Methods Based on SVM
+Daniil Belkov, Konstantin Purtov, Vladimir Kublanov
+Ural Federal University (UrFU)
+Yekaterinburg, Russia
+d.d.belkov,"

+2452dfb2c5a4578ac9497cc4dc3c6d5d03997210,On designing an unconstrained tri-band pupil detection system for human identification,"DOI 10.1007/s00138-015-0700-3
+ORIGINAL PAPER
+On designing an unconstrained tri-band pupil detection system
+for human identification
+Cameron Whitelam1 · Thirimachos Bourlai1
+Received: 30 September 2014 / Revised: 11 February 2015 / Accepted: 15 June 2015
+© Springer-Verlag Berlin Heidelberg 2015
+facial"

+24ff832171cb774087a614152c21f54589bf7523,Beat-Event Detection in Action Movie Franchises,"Beat-Event Detection in Action Movie Franchises
+Danila Potapov
+Matthijs Douze
+Jerome Revaud
+Zaid Harchaoui
+Cordelia Schmid"

+247232ab9eabb4f2480dd70557a1ee89afed4f20,Dominant men are faster in decision-making situations and exhibit a distinct neural signal for promptness,"Cerebral Cortex, October 2018;28: 3740–3751
+doi: 10.1093/cercor/bhy195
+Advance Access Publication Date: 15 August 2018
+Original Article
+O R I G I N A L A R T I C L E
+Dominant men are faster in decision-making situations
+nd exhibit a distinct neural signal for promptness
+Janir da Cruz1,2, João Rodrigues3, John C. Thoresen3, Vitaly Chicherov1,
+Patrícia Figueiredo2, Michael H. Herzog1 and Carmen Sandi
+Laboratory of Psychophysics, Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of
+Technology Lausanne (EPFL), CH-1015 Lausanne, Switzerland, 2Institute for Systems and Robotics – Lisboa,
+Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisbon, Portugal
+nd 3Laboratory of Behavioral Genetics, Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of
+Technology Lausanne (EPFL), CH-1015 Lausanne, Switzerland
+Address correspondence to Carmen Sandi, Laboratory of Behavioral Genetics, Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of
+Technology Lausanne (EPFL), CH-1015 Lausanne, Switzerland. Email:
+orcid.org/0000-0001-7713-8321
+Janir da Cruz, João Rodrigues, and John C. Thoresen contributed equally to this work
+Michael H. Herzog and Carmen Sandi contributed equally to this work"

+244377600b1474e1da3b86a08683e629990d1417,Embedded Vision System for Atmospheric Turbulence Mitigation,"Embedded Vision System for Atmospheric Turbulence Mitigation
+Ajinkya Deshmukh1, Gaurav Bhosale, Swarup Medasani2, Karthik Reddy,
+Hemanthakumar P, Chandrasekhar A, Kirankumar P, Vijayasagar K
+Uurmi Systems Pvt. Ltd., Hyderabad, India"

+247a6b0e97b9447850780fe8dbc4f94252251133,Facial action unit detection: 3D versus 2D modality,"Facial Action Unit Detection: 3D versus 2D Modality
+Arman Savran
+Electrical and Electronics Engineering
+Bo˘gazic¸i University, Istanbul, Turkey
+B¨ulent Sankur
+Electrical and Electronics Engineering
+Bo˘gazic¸i University, Istanbul, Turkey
+M. Taha Bilge
+Department of Psychology
+Bo˘gazic¸i University, Istanbul, Turkey"

+2485c98aa44131d1a2f7d1355b1e372f2bb148ad,The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART A: SYSTEMS AND HUMANS, VOL. 38, NO. 1, JANUARY 2008
+The CAS-PEAL Large-Scale Chinese Face
+Database and Baseline Evaluations
+Wen Gao, Senior Member, IEEE, Bo Cao, Shiguang Shan, Member, IEEE,
+Xilin Chen, Member, IEEE, Delong Zhou, Xiaohua Zhang, and Debin Zhao"

+24d3e695af619e88613aba7dc0e7492c12fa4d0e,Sparsest Matrix based Random Projection for Classification,"Sparse Matrix-based Random Projection for
+Classification
+Weizhi Lu, Weiyu Li, Kidiyo Kpalma and Joseph Ronsin"

+24585f90bdf30583733841f70430d36948f16ae2,An efficient method for human face recognition using nonsubsampled contourlet transform and support vector machine,"Optica Applicata, Vol. XXXIX, No. 3, 2009
+An efficient method for human face recognition
+using nonsubsampled contourlet transform
+nd support vector machine
+XUEBIN XU, DEYUN ZHANG, XINMAN ZHANG*
+School of Electronics and Information Engineering, Xi’an Jiaotong University,
+8 Xianning West Road, Xi’an 710049, P.R. China
+*Corresponding author:
+To  improve  the  recognition  rate  in  different  conditions,  a  multiscale  face  recognition  method
+ased on nonsubsampled contourlet transform and support vector machine is proposed in this
+paper.  Firstly, all face images are decomposed  by using  nonsubsampled  contourlet transform.
+The contourlet coefficients of low frequency and high frequency in different scales and various
+ngles will be obtained. Most significant information of faces is contained in coefficients, which
+is  important  for  face  recognition.  Then,  the  combinations  of  coefficients  are  applied  as  study
+samples to the support vector machine classifiers. Finally, the decomposed coefficients of testing
+face image are used to test classifiers, then face recognition results are obtained. The experiments
+re performed on the YaleB database and the Cambridge University ORL database. The results
+indicate that the method proposed has performs better than the wavelet-based method. Compared
+with the wavelet-based method, the proposed method can make the best recognition rates increase
+y 2.85% for YaleB  database and  1.87% for ORL  database, respectively. Our method is  also"

+230527d37421c28b7387c54e203deda64564e1b7,Person Re-identification: System Design and Evaluation Overview,"Person Re-identification: System Design and
+Evaluation Overview
+Xiaogang Wang and Rui Zhao"

+236942bb64f1711b4763424b2f795fb518c9d8d4,Optimizing LBP Structure For Visual Recognition Using Binary Quadratic Programming,"Optimizing LBP Structure For Visual Recognition
+Using Binary Quadratic Programming
+Jianfeng Ren, Student Member, IEEE, Xudong Jiang, Senior Member, IEEE, Junsong Yuan, Senior Member, IEEE,
+nd Gang Wang, Member, IEEE"

+2315371408e02cdff6f54359f159f192009d1600,Effective Pedestrian Detection Using Center-symmetric Local Binary/Trinary Patterns,"SEPTEMBER 2010
+Effective Pedestrian Detection Using
+Center-symmetric Local Binary/Trinary Patterns
+Yongbin Zheng, Chunhua Shen, Richard Hartley, Fellow, IEEE, and Xinsheng Huang"

+237316762470d72a02795a7f57de9279e9cda16a,Dimensionality-reduced subspace clustering,"Dimensionality-reduced subspace clustering
+Reinhard Heckel, Michael Tschannen, and Helmut B¨olcskei
+December 15, 2015"

+239c06cd437832faa55a8e7292c50e45229a3d7c,Generating analytic insights on human behavior using image processing,"Generating Analytic Insights on Human behavior
+using Image Processing
+Namit Juneja, Rajesh Kumar M, Senior Member, IEEE
+School of Electronics Engineering
+VIT University
+Vellore, India"

+2396ff03c41c498ff20e3a0e5419afa45e4a9d41,MIT Autonomous Vehicle Technology Study: Large-Scale Deep Learning Based Analysis of Driver Behavior and Interaction with Automation,"MIT Autonomous Vehicle Technology Study:
+Large-Scale Deep Learning Based Analysis of
+Driver Behavior and Interaction with Automation
+Lex Fridman∗, Daniel E. Brown, Michael Glazer, William Angell, Spencer Dodd, Benedikt Jenik,
+Andrew Sipperley, Anthony Pettinato, Bobbie Seppelt, Linda Angell, Bruce Mehler, Bryan Reimer∗
+Jack Terwilliger, Julia Kindelsberger, Li Ding, Sean Seaman, Hillary Abraham, Alea Mehler,"

+23e1746c449e675a4ffa3833b0ac5c5a7b743f7f,Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms,"Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms
+{tag}                                                 {/tag}
+International Journal of Computer Applications
+Foundation of Computer Science (FCS), NY, USA
+Volume 134
+Number 7
+Year of Publication: 2016
+Authors:
+Filani Araoluwa S., Adetunmbi Adebayo O.
+10.5120/ijca2016907932
+{bibtex}2016907932.bib{/bibtex}"

+2349eab05cd0c6f94ba5314c037d198aa12c2f0f,Eigen-profiles of spatio-temporal fragments for adaptive region-based tracking,"978-1-4673-0046-9/12/$26.00 ©2012 IEEE
+ICASSP 2012"

+237734e3fd3abab005b0b97d61416ee16105f902,Consensus Maximization for Semantic Region Correspondences,"Consensus Maximization for Semantic Region Correspondences
+Pablo Speciale1, Danda P. Paudel2, Martin R. Oswald1,
+Hayko Riemenschneider2, Luc V. Gool2,4, and Marc Pollefeys1,3
+Department of Computer Science, ETH Z¨urich.
+Microsoft, Redmond, USA
+{pablo, moswald,
+Computer Vision Laboratory, D-ITET, ETH Z¨urich
+VISICS, ESAT/PSI, KU Leuven, Belgium
+{paudel, hayko,
+Day / Night
+Registration
+Outdoor / Indoor
+Registration
+Scan / CAD
+Registration
+Figure 1: Example registration results. Our approach solves challenging registration problems by maximizing the number of corre-
+sponding semantic regions – such as windows, doors or balconies – for datasets from different modalities, with large amounts of noise and
+outliers, little data overlap, or significantly different data statistics."

+239df42479c69cf95e7194cc0ec3d8cf7d4a98e8,Face Detection and Extraction from Low Resolution Surveillance Video Using Motion Segmentation,"Face Detection and Extraction from Low
+Resolution Surveillance Video Using
+Motion Segmentation
+Vikram Mutneja1
+I.K. Gujral Punjab Technical University, Kapurthala, Punjab (India)
+Ph.D. Research Scholar,
+I.K. Gujral Punjab Technical University Main Campus, Kapurthala, Punjab (India)
+Dr. Satvir Singh2,
+Associate Professor,"

+23fa51635c646aa621bb18ff76f31d5e48ac969b,MFSC: A new shape descriptor with robustness to deformations,"MFSC: A NEW SHAPE DESCRIPTOR WITH ROBUSTNESS TO DEFORMATIONS
+Lunshao Chaia, Zhen Qinb, Honggang Zhanga, Jun Guoa, Bir Bhanub
+Beijing University of Posts and Telecomuunictions, Beijing, 100876, China
+University of California at Riverside, Riverside, CA 92521, USA"

+23172f9a397f13ae1ecb5793efd81b6aba9b4537,Defining Visually Descriptive Language,"Proceedings of the 2015 Workshop on Vision and Language (VL’15), pages 10–17,
+Lisbon, Portugal, 18 September 2015. c(cid:13)2015 Association for Computational Linguistics."

+23fd82c04852b74d655015ff0876e6c5defc6e61,Deep-based Ingredient Recognition for Cooking Recipe Retrieval,"Deep-based Ingredient Recognition for
+Cooking Recipe Retrieval
+Jingjing Chen
+City University of HongKong
+Kowloon, HongKong
+Chong-Wah Ngo
+City University of HongKong
+Kowloon, HongKong"

+236a4f38f79a4dcc2183e99b568f472cf45d27f4,Randomized Clustering Forests for Image Classification,"Randomized Clustering Forests
+for Image Classification
+Frank Moosmann, Student Member, IEEE, Eric Nowak, Student Member, IEEE, and
+Frederic Jurie, Member, IEEE Computer Society"

+230c4a30f439700355b268e5f57d15851bcbf41f,EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene Analysis,"EM Algorithms for Weighted-Data Clustering
+with Application to Audio-Visual Scene Analysis
+Israel D. Gebru, Xavier Alameda-Pineda, Florence Forbes and Radu Horaud"

+237fa91c8e8098a0d44f32ce259ff0487aec02cf,Bidirectional PCA with assembled matrix distance metric for image recognition,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 36, NO. 4, AUGUST 2006
+Bidirectional PCA With Assembled Matrix
+Distance Metric for Image Recognition
+Wangmeng Zuo, David Zhang, Senior Member, IEEE, and Kuanquan Wang, Member, IEEE"

+237ec7e6d20025c32069e41f8007bb97931a7fc6,Learning real-time object detectors : probabilistic generative approaches,

+2331df8ca9f29320dd3a33ce68a539953fa87ff5,Extended Isomap for Pattern Classification,"Extended Isomap for Pattern Classification
+Ming-Hsuan Yang
+Honda Fundamental Research Labs
+Mountain View, CA 94041"

+2333cf918f50ac2ae201a837166d310adf3a00b0,Optimally Training a Cascade Classifier,"Optimally Training a Cascade Classifier
+Chunhua Shen, Peng Wang, and Anton van den Hengel"

+23ba9e462151a4bf9dfc3be5d8b12dbcfb7fe4c3,Determining Mood from Facial Expressions,"CS 229 Project, Fall 2014
+Matthew Wang
+Spencer Yee
+Determining Mood from Facial Expressions
+Introduction
+Facial expressions play an extremely important role in human communication. As
+society continues to make greater use of human-machine interactions, it is important for
+machines to be able to interpret facial expressions in order to improve their
+uthenticity. If machines can be trained to determine mood to a better extent than
+humans can, especially for more subtle moods, then this could be useful in fields such as
+ounseling. This could also be useful for gauging reactions of large audiences in various
+ontexts, such as political talks.
+The results of this project could also be applied to recognizing other features of facial
+expressions, such as determining when people are purposefully suppressing emotions or
+lying. The ability to recognize different facial expressions could also improve technology
+that recognizes to whom specific faces belong. This could in turn be used to search a
+large number of pictures for a specific photo, which is becoming increasingly difficult, as
+storing photos digitally has been extremely common in the past decade. The possibilities
+re endless.
+II  Data and Features"

+2311cdd241c118395a510776ec226aff7725ebc8,Hunting Nessie - Real-time abnormality detection from webcams,"Hunting Nessie – Real-Time Abnormality Detection from Webcams
+Michael D. Breitenstein1 Helmut Grabner1 Luc Van Gool1,2
+Computer Vision Laboratory
+ETH Zurich
+ESAT-PSI / IBBT
+KU Leuven"

+2340a8fa6d90741c53e659cd1e7ca86ff900aa55,Body Parts Dependent Joint Regressors for Human Pose Estimation in Still Images,"Body Parts Dependent Joint Regressors for
+Human Pose Estimation in Still Images
+Matthias Dantone, Juergen Gall, Member, IEEE Christian Leistner, and Luc Van Gool, Member, IEEE"

+238fc68b2e0ef9f5ec043d081451902573992a03,Enhanced Local Gradient Order Features and Discriminant Analysis for Face Recognition,"Enhanced Local Gradient Order Features and
+Discriminant Analysis for Face Recognition
+Chuan-Xian Ren, Zhen Lei, Member, IEEE, Dao-Qing Dai, Member, IEEE, and Stan Z. Li, Fellow, IEEE
+role in robust face recognition [5]. Many algorithms have
+een proposed to deal with the effectiveness of feature design
+nd extraction [6], [7]; however, the performance of many
+existing methods is still highly sensitive to variations of
+imaging conditions, such as outdoor illumination, exaggerated
+expression, and continuous occlusion. These complex varia-
+tions are significantly affecting the recognition accuracy in
+recent years [8]–[10].
+Appearance-based subspace learning is one of the sim-
+plest approach for feature extraction, and many methods
+re usually based on linear correlation of pixel intensities.
+For example, Eigenface [11] uses eigen system of pixel
+intensities to estimate the lower rank linear subspace of
+set of training face images by minimizing the (cid:2)2 dis-
+tance metric. The solution enjoys optimality properties when
+noise is independent
+identically distributed Gaussian only."

+2322ec2f3571e0ddc593c4e2237a6a794c61251d,Four not six: Revealing culturally common facial expressions of emotion.,"Jack, R. E. , Sun, W., Delis, I., Garrod, O. G. B. and Schyns, P. G. (2016)
+Four not six: revealing culturally common facial expressions of
+emotion.Journal of Experimental Psychology: General, 145(6), pp. 708-
+730.  (doi:10.1037/xge0000162)
+This is the author’s final accepted version.
+There may be differences between this version and the published version.
+You are advised to consult the publisher’s version if you wish to cite from
+http://eprints.gla.ac.uk/116592/
+Deposited on: 20 April 2016
+Enlighten – Research publications by members of the University of Glasgow
+http://eprints.gla.ac.uk"

+23ea8a34570342855611a78a4ff00ddd902e6123,Gradient-based global features and its application to image retargeting,"Gradient-based Global Features and Its Application
+to Image Retargeting
+Izumi Ito
+Tokyo Institute of Technology Tokyo, 152-8552 Japan
++81-3-5734-2997"

+2312bc2d48a0f68bd5ab1b024d5726786455da3a,Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification,"Learning Deep Context-aware Features over Body and Latent Parts
+for Person Re-identification
+Supplementary Materials
+Dangwei Li1,2, Xiaotang Chen1,2, Zhang Zhang1,2, Kaiqi Huang1,2,3
+CRIPAC & NLPR, CASIA 2University of Chinese Academy of Sciences
+CAS Center for Excellence in Brain Science and Intelligence Technology
+{dangwei.li, xtchen, zzhang,
+. Market1501 dataset
+To further understand the results on Market1501 [8], we show mean Average Precision (mAP) and Rank-1 identification
+rate between camera pairs in Figure 1 and Figure 2. Compared to the BOW methods, the proposed method improves mean
+mAP and Rank-1 identification rate between camera pairs by 35.09% and 40.01% respectively. In addition, we show some
+searching results with different query images in Figure 3. The dataset is challenging and the returned images have very similar
+ppearances and some pedestrians have large backgrounds and occlusions. For the query image in first row of Figure 3, even
+though the query person has large occlusions and some groundtruth images have large backgrounds, our proposed method
+an still return the right results. This shows the effectiveness of our proposed method.
+. CUHK03 dataset
+CUHK03 [3] is one of the largest person re-identification datasets. It provides two types of pedestrian bounding boxes,
+including detected and manually annotated. In this paragraph, we show the overall Cumulated Matching Characteristics
+(CMC) on both detected and labeled datasets in Figure 4. For the GateSCNN [5] in Figure 4(a), we use the singe-query
+results to approximate the single-shot results. The DGD [6] is trained using multiple datasets. In this paper, we use the"

+23a2b75c92123b3e7bbaf1d98e434845167fe259,Multimodal Biometrics for Identity Documents,"Forensic Science International 167 (2007) 154–159
+www.elsevier.com/locate/forsciint
+Multimodal biometrics for identity documents (
+Damien Dessimoz a,*, Jonas Richiardi b, Christophe Champod a, Andrzej Drygajlo b
+Institut de Police Scientifique, E´ cole des Sciences Criminelles, Universite´ de Lausanne, Switzerland
+Speech Processing and Biometrics Group, Signal Processing Institute, E´ cole Polytechnique Fe´de´rale de Lausanne, Switzerland
+Received 9 June 2006; accepted 14 June 2006
+Available online 4 August 2006"

+23c9fe37fa0474967be4cc6c7a310dcc87b86b72,Spatial Feature Interdependence Matrix (SFIM): A Robust Descriptor for Face Recognition,"Spatial Feature Interdependence Matrix (SFIM):
+A Robust Descriptor for Face Recognition
+Anbang Yao1 and Shan Yu2
+National Laboratory of Pattern Recognition, Institute of Automation,
+Chinese Academy of Science, Beijing, 100090, China
+National Institute for Research in Computer Science and Control, France"

+23b93f3b237481bd1d36941ca3312bb16f4beb58,Reconnaissance d'événements et d'actions à partir de la profondeur thermique 3D. (Event and action recognition from thermal and 3D depth Sensing),"Reconnaissance d’événements et d’actions à partir de la
+profondeur thermique 3D
+Adnan Al Alwani
+To cite this version:
+Adnan Al Alwani. Reconnaissance d’événements et d’actions à partir de la profondeur thermique
+D. Vision par ordinateur et reconnaissance de formes [cs.CV]. Université de Caen Normandie, 2016.
+Français. <tel-01418369>
+HAL Id: tel-01418369
+https://hal.archives-ouvertes.fr/tel-01418369
+Submitted on 16 Dec 2016
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+235f4fad10a5d9e043759354a7cb94122a8f10fc,"Multi-perspective vehicle detection and tracking: Challenges, dataset, and metrics","Windsor Oceanico Hotel, Rio de Janeiro, Brazil, November 1-4, 2016
+978-1-5090-1889-5/16/$31.00 ©2016 IEEE"

+23120f9b39e59bbac4438bf4a8a7889431ae8adb,Improved RGB-D-T based face recognition,"Aalborg Universitet
+Improved RGB-D-T based Face Recognition
+Oliu Simon, Marc;   Corneanu, Ciprian; Nasrollahi, Kamal; Guerrero, Sergio Escalera;
+Nikisins, Olegs; Sun, Yunlian; Li, Haiqing; Sun, Zhenan; Moeslund, Thomas B.; Greitans,
+Modris
+Published in:
+DOI (link to publication from Publisher):
+0.1049/iet-bmt.2015.0057
+Publication date:
+Document Version
+Accepted manuscript, peer reviewed version
+Link to publication from Aalborg University
+Citation for published version (APA):
+Oliu Simon, M.,   Corneanu, C., Nasrollahi, K., Guerrero, S. E., Nikisins, O., Sun, Y., ... Greitans, M. (2016).
+General rights
+Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners
+nd it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.
+? Users may download and print one copy of any publication from the public portal for the purpose of private study or research.
+? You may not further distribute the material or use it for any profit-making activity or commercial gain
+? You may freely distribute the URL identifying the publication in the public portal ?"

+23d55061f7baf2ffa1c847d356d8f76d78ebc8c1,Generic and attribute-specific deep representations for maritime vessels,"Solmaz et al. IPSJ Transactions on Computer Vision and
+Applications  (2017) 9:22
+DOI 10.1186/s41074-017-0033-4
+IPSJ Transactions on Computer
+Vision and Applications
+RESEARCH PAPER
+Open Access
+Generic and attribute-specific deep
+representations for maritime vessels
+Berkan Solmaz*†
+, Erhan Gundogdu†, Veysel Yucesoy and Aykut Koc"

+23095c6fc92f41a86f93276d446cfc72c7ce7b23,Stereo-based Pedestrian Detection using Multiple Patterns,"HATTORI et al.: STEREO-BASED PEDESTRIAN DETECTION USING MULTI-PATTERNS
+Stereo-based Pedestrian Detection using
+Multiple Patterns
+Research & Development Center,
+TOSHIBA Corporation, JAPAN
+Hiroshi Hattori
+Akihito Seki
+Manabu Nishiyama
+Tomoki Watanabe"

+23a8d02389805854cf41c9e5fa56c66ee4160ce3,Influence of low resolution of images on reliability of face detection and recognition,"Multimed Tools Appl
+DOI 10.1007/s11042-013-1568-8
+Influence of low resolution of images on reliability
+of face detection and recognition
+Tomasz Marciniak· Agata Chmielewska·
+Radoslaw Weychan· Marianna Parzych·
+Adam Dabrowski
+© The Author(s) 2013. This article is published with open access at SpringerLink.com"

+23e881c9b791fd17e248b1fb4fc980710dd005d7,An Unbiased Temporal Representation for Video-Based Person Re-Identification,"AN UNBIASED TEMPORAL REPRESENTATION FOR VIDEO-BASED PERSON
+RE-IDENTIFICATION
+Xiu Zhang and Bir Bhanu
+Center for Research in Intelligent Systems
+University of California, Riverside, Riverside, CA 92521, USA"

+23b37c2f803a2d4b701e2f39c5f623b2f3e14d8e,Modified Approaches on Face Recognition By using Multisensory Image,"Available Online at www.ijcsmc.com
+International Journal of Computer Science and Mobile Computing
+A Monthly Journal of Computer Science and Information Technology
+ISSN 2320–088X
+IJCSMC, Vol. 2, Issue. 4, April 2013, pg.646 – 649
+RESEARCH ARTICLE
+Modified Approaches on Face Recognition
+By using Multisensory Image
+S. Dhanarajan1, G. Michael2
+Computer Science Department, Bharath University, India
+Computer Science Department, Bharath University, India"

+4f892475be26333ddf1b72c21f0c9c4ca129bd80,Mobile Cloud Computing for Biometric Applications,"Singidunum University
+Belgrade, Serbia
+Mobile Cloud Computing for Biometric Applications
+Milos Stojmenovic
+Department of Informatics and Computation"

+4f00f5fe9d762009f524fb97555088769b96328c,Eye Gaze Tracking System Using . Net,"IJSART - Volume 3 Issue 5 –MAY 2017                                                                                                ISSN [ONLINE]: 2395-1052
+Eye Gaze Tracking System Using .Net
+Madhu M Nayak1, Usha Rani J2, Anandhi G3
+Department of CSE
+, 2, 3Assistant Professor,GSSIETW, Mysuru"

+4f051022de100241e5a4ba8a7514db9167eabf6e,Face Parsing via a Fully-Convolutional Continuous CRF Neural Network,"Face Parsing via a Fully-Convolutional Continuous
+CRF Neural Network
+Lei Zhou, Zhi Liu, Senior Member, IEEE, Xiangjian He, Senior Member, IEEE"

+4faded442b506ad0f200a608a69c039e92eaff11,İstanbul Technical University Institute of Science and Technology Face Recognition under Varying Illumination,"İSTANBUL TECHNICAL UNIVERSITY  INSTITUTE OF SCIENCE AND TECHNOLOGY
+FACE RECOGNITION UNDER VARYING
+ILLUMINATION
+Master Thesis by
+Erald VUÇINI, B.Sc.
+Department :  Computer Engineering
+Programme:  Computer Engineering
+Supervisor: Prof. Dr. Muhittin GÖKMEN
+JUNE 2006"

+4f4c067e684252cf5549f60036829a89b2f35fc8,Sentic Avatar: Multimodal Affective Conversational Agent with Common Sense,"Sentic Avatar: Multimodal Affective
+Conversational Agent with Common Sense
+Erik Cambria1, Isabelle Hupont2,
+Amir Hussain1, Eva Cerezo3, and Sandra Baldassarri3
+University of Stirling, Stirling, UK
+Aragon Institute of Technology, Zaragoza, Spain
+University of Zaragoza, Zaragoza, Spain
+http://cs.stir.ac.uk/~eca/sentics"

+4f41f7a2f1f5eb5f26d47aeb168dbeb0f9ed453f,A Graph Transduction Game for Multi-target Tracking,"A Graph Transduction Game for Multi-target
+Tracking
+Tewodros Mulugeta Dagnew∗, Dalia Coppi†, Marcello Pelillo∗, Rita Cucchiara†
+DAIS - Ca´ Foscari University
+Venezia, Italy
+Email:
+DIEF - University of Modena and Reggio Emilia
+Email:
+Modena, Italy"

+4fc936102e2b5247473ea2dd94c514e320375abb,Guess Where? Actor-Supervision for Spatiotemporal Action Localization,"Guess Where? Actor-Supervision for Spatiotemporal Action Localization
+Victor Escorcia1∗
+Cuong D. Dao1
+Mihir Jain3
+KAUST1, University of Amsterdam2, Qualcomm Technologies, Inc.3
+Bernard Ghanem1
+Cees Snoek2∗"

+4f0aedbd0b5cb5939449da41579c93b98048fcdc,Robust classification using structured sparse representation,"Robust Classification using Structured Sparse Representation
+Center for Imaging Science, Johns Hopkins University, Baltimore MD 21218, USA
+Ehsan Elhamifar Ren´e Vidal"

+4f8bd3519a6e8a05db9e35b027c0c65c91d2ff62,Brain Oxytocin is a Main Regulator of Prosocial Behaviour - Link to Psychopathology,"We are IntechOpen,
+the world’s leading publisher of
+Open Access books
+Built by scientists, for scientists
+,800
+16,000
+Open access books available
+International  authors and editors
+Downloads
+Our authors are among the
+Countries delivered to
+TOP 1%
+2.2%
+most cited scientists
+Contributors from top 500 universities
+Selection of our books indexed in the Book Citation Index
+in Web of Science™ Core Collection (BKCI)
+Interested in publishing with us?
+Contact
+Numbers displayed above are based on latest data collected."

+4ff7f5928f96ddc877b4b8675cc41cc08f4bd561,Recent Advance in Content-based Image Retrieval: A Literature Survey,"Recent Advance in Content-based Image
+Retrieval: A Literature Survey
+Wengang Zhou, Houqiang Li, and Qi Tian Fellow, IEEE"

+4f6adc53798d9da26369bea5a0d91ed5e1314df2,Online Nonnegative Matrix Factorization with General Divergences,"IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. , NO. , 2016
+Online Nonnegative Matrix Factorization with
+General Divergences
+Renbo Zhao, Member, IEEE, Vincent Y. F. Tan, Senior Member, IEEE, Huan Xu"

+4f46dba09e075b2e7dfae1ba2a71e8e21b46e88d,Genetic CNN,"Genetic CNN
+Center for Imaging Science, The Johns Hopkins University, Baltimore, MD, USA
+Lingxi Xie, Alan Yuille"

+4fc609df4e17b5854e3b7f4371e5f4192608eda5,3D Face Recognition Benchmarks on the Bosphorus Database with Focus on Facial Expressions,"D Face Recognition Benchmarks on the
+Bosphorus Database with Focus on Facial
+Expressions
+Nes¸e Aly¨uz1, Berk G¨okberk2, Hamdi Dibeklio˘glu1, Arman Savran3, Albert Ali
+Salah4, Lale Akarun1, B¨ulent Sankur3"

+4f591e243a8f38ee3152300bbf42899ac5aae0a5,Understanding Higher-Order Shape via 3D Shape Attributes,"SUBMITTED TO TPAMI
+Understanding Higher-Order Shape
+via 3D Shape Attributes
+David F. Fouhey, Abhinav Gupta, Andrew Zisserman"

+4fec382efed4e08a36fafa3710b97f0b20de1ebe,Binarized Representation Entropy (bre) Regularization,"Published as a conference paper at ICLR 2018
+IMPROVING GAN TRAINING VIA
+BINARIZED REPRESENTATION ENTROPY (BRE)
+REGULARIZATION
+Yanshuai Cao, Gavin Weiguang Ding, Kry Yik-Chau Lui, Ruitong Huang
+Borealis AI
+Canada"

+4fdeb5d59b218ecba0f72dc3c42f38a086417c0f,InformatIon theoretIc combInatIon of classIfIers wIth applIcatIon to face DetectIon,"InformatIon theoretIc combInatIon
+of classIfIers wIth applIcatIon to face DetectIon
+THÈSE NO 3951 (2007)
+PRÉSENTÉE LE 23 NOvEMBRE 2007
+À LA FACULTÉ DES SCIENCES ET TECHNIQUES DE L'INGÉNIEUR
+LABORATOIRE DE TRAITEMENT DES SIGNAUX 5
+PROGRAMME DOCTORAL EN INFORMATIQUE, COMMUNICATIONS ET INFORMATION
+ÉCOLE POLyTECHNIQUE FÉDÉRALE DE LAUSANNE
+POUR L'OBTENTION DU GRADE DE DOCTEUR ÈS SCIENCES
+Julien MEyNET
+DEA signal, image, parole, télécoms, Institut national polytechnique de Grenoble, France
+et de nationalité française
+cceptée sur proposition du jury:
+Prof. H. Bourlard, président du jury
+Prof. J.-Ph. Thiran, directeur de thèse
+Prof. A. Billard, rapporteur
+Prof. H. Bunke, rapporteur
+Prof. J. Kittler, rapporteur
+Suisse"

+4f15b1e750007465024181dd002dfc6d1baa48c9,Face Recognition and Computer Graphics for Modelling,"Face  Recognition  and Computer Graphics for
+Modelling  Expressive  Faces in 3D
+Tufool  Al-Nuaimi
+Submitted to  the Department  of Electrical  Engineering  and Computer Science
+in Partial Fulfillment of the Requirements  for the Degree  of
+Master of Engineering  in Electrical  Engineering  and Computer Science
+t the Massachusetts  Institute  of Technology
+May  26,  2006
+Copyright 2006  Tufool  AI-Nuaimi.  All  rights reserved.
+The author  hereby grants to  M.I.T. permission to reproduce  and
+distribute  publicly paper  and electronic  copies  of this thesis
+nd to grant  others the right to  do so.
+Author
+Certified by_
+Accepted by_  _
+Tufool  Al-Nuaimi
+Department  of  Electrical  Engineering and Computer Science
+-Ma  26,  2006
+Judith Barry
+Supervisor"

+4fa6a688f350831503d158f8f618c58d1e06bc5d,"Bootstrap, Review, Decode: Using Out-of-Domain Textual Data to Improve Image Captioning","Bootstrap, Review, Decode: Using Out-of-Domain Textual Data
+to Improve Image Captioning
+Wenhu Chen
+RWTH Aachen
+Aurelien Lucchi
+ETH Zurich
+Thomas Hofmann
+ETH Zurich"

+4fb569af589d89f11d84d4b828459231345cc301,Exploring Linear Relationship in Feature Map Subspace for ConvNets Compression,"Exploring Linear Relationship in Feature Map
+Subspace for ConvNets Compression
+Dong Wang1, Lei Zhou1, Xueni Zhang1, Xiao Bai1, and Jun Zhou2
+Beihang University 2Grif‌f‌ith University"

+4f7e4b1b74955b54c434bdf76c47fb1e96db74e0,Naive Bayes Image Classification: Beyond Nearest Neighbors,"Naive Bayes Image Classification:
+Beyond Nearest Neighbors
+Radu Timofte1, Tinne Tuytelaars1, and Luc Van Gool1,2
+ESAT-VISICS /IBBT, Catholic University of Leuven, Belgium
+D-ITET, ETH Zurich, Switzerland"

+4f10b81f822091ce2142e33f0578940da1e25ad3,"Indoor Mobile Robotics at Grima, PUC","Noname manuscript No.
+(will be inserted by the editor)
+Indoor Mobile Robotics at Grima, PUC
+L. Caro · J. Correa · P. Espinace · D.
+Maturana · R. Mitnik · S. Montabone · S.
+Pszcz´o(cid:32)lkowski · D. Langdon · A. Araneda ·
+D. Mery · M. Torres · A. Soto
+Received: date / Accepted: date"

+4f863543407143a62e1bb053d435a947886ba619,Distributed deep learning on edge-devices: Feasibility via adaptive compression,"Distributed deep learning on edge-devices:
+feasibility via adaptive compression
+Corentin Hardy
+Technicolor, Inria
+Rennes, France
+Erwan Le Merrer
+Technicolor
+Rennes, France
+Bruno Sericola
+Inria
+Rennes, France"

+4f5e5fea12c44a5be7107748320e6d66192b7acb,Automatic approach-avoidance tendencies as a candidate intermediate phenotype for depression: Associations with childhood trauma and the 5-HTTLPR transporter polymorphism,"RESEARCH ARTICLE
+Automatic approach-avoidance tendencies as
+candidate intermediate phenotype for
+depression: Associations with childhood
+trauma and the 5-HTTLPR transporter
+polymorphism
+Pascal Fleurkens1*, Agnes van Minnen1,2, Eni S. Becker1, Iris van Oostrom3,
+Anne Speckens3, Mike Rinck1, Janna N. Vrijsen3,4
+Behavioural Science Institute, Radboud University Nijmegen, Nijmegen, The Netherlands,
+Psychotrauma Expertise Centrum (PSYTREC), Bilthoven, The Netherlands, 3 Department of Psychiatry,
+Radboud University Medical Centre, Nijmegen, The Netherlands, 4 Pro Persona: Institution for Integrated
+Mental Health Care, Nijmegen, The Netherlands"

+4fe0c6c83d998a0660bc5280c8ab6e61df9df887,Face Image Normalization and Expression/pose Validation for the Analysis of Machine Readable Travel Documents,"FACE IMAGE NORMALIZATION AND
+EXPRESSION/POSE VALIDATION FOR THE
+ANALYSIS OF MACHINE READABLE TRAVEL
+DOCUMENTS
+Markus Storer1, Martin Urschler1, Horst Bischof1,
+Josef A. Birchbauer2"

+4f618cbf19917ce5b8703adbc14e15b0bf0d35cc,Multi-View Dynamic Facial Action Unit Detection,"Multi-View Dynamic Facial Action Unit Detection
+Andr´es Romero
+Juan Le´on
+Pablo Arbel´aez
+Universidad de los Andes"

+4fb11a58d5a3ffc0bb6d4ade334a366b4a431b02,The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings,

+4f606761ce65399ef4ff24cd503ec09cf53562e9,"A System View of the Recognition and Interpretation of Observed Human Shape, Pose and Action","Copyright © 2015 David W. Arathorn
+A System View of the Recognition and Interpretation of
+Observed Human Shape, Pose and Action
+David W. Arathorn
+Dept of Electrical and Computer Engineering
+(formerly of Center for Computational Biology)
+Montana State University-Bozeman
+General Intelligence Corporation
+Bozeman, MT"

+4fdbe95edb967bfc0b44f0fa291cd86b178fca2e,"Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation","Competitive Collaboration: Joint Unsupervised
+Learning of Depth, Camera Motion, Optical
+Flow and Motion Segmentation
+Anurag Ranjan1
+Varun Jampani2
+Kihwan Kim 2
+Deqing Sun 2
+Jonas Wulff 1
+Michael J. Black1
+Max Planck Institute for Intelligent Systems
+NVIDIA Research
+{aranjan, jwulff,
+{vjampani, kihwank,"

+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
+of Two Images using Color K-means Algorithm
+Neelam Kushwah
+Dept. of CSE
+ITM Universe
+Gwalior
+Priusha Narwariya
+Dept. of CSE
+ITM Universe
+Gwalior"

+4f77a37753c03886ca9c9349723ec3bbfe4ee967,"Localizing Facial Keypoints with Global Descriptor Search, Neighbour Alignment and Locally Linear Models","Localizing Facial Keypoints with Global Descriptor Search,
+Neighbour Alignment and Locally Linear Models
+Md. Kamrul Hasan1, Christopher Pal1 and Sharon Moalem2
+´Ecole Polytechnique de Montr´eal, Universit´e de Montr´eal
+University of Toronto and Recognyz Systems Technologies
+lso focused on emotion recognition in the wild [9]."

+4f77c682f133d5010762556ebf512533524da071,Deep Learning of Appearance Models for Online Object Tracking,"Deep Learning of Appearance Models for Online
+Object Tracking
+Mengyao Zhai, Mehrsan Javan Roshtkhari, Greg Mori"

+4fec8a97d6d87713c5c00f369fc1373fba4377e3,Training Sources 3 D Normalized Pose Space 2 D Normalized Pose Space KD-Tree Input Image 2 D Pose Estimation 3 D Pose Reconstruction Retrieved 3 D Nearest Neighbours Motion Capture Dataset Annotated 2,"SUBMITTED TO COMPUTER VISION AND IMAGE UNDERSTANDING.
+A Dual-Source Approach for 3D Human Pose
+Estimation from a Single Image
+Umar Iqbal*, Andreas Doering*, Hashim Yasin, Björn Krüger, Andreas Weber, and Juergen Gall"

+8d40150c7ec59daba7d1a34eba291ff2eac6388c,Overcoming Dataset Bias: An Unsupervised Domain Adaptation Approach,"Overcoming Dataset Bias:
+An Unsupervised Domain Adaptation Approach
+Boqing Gong
+Dept. of Computer Science
+U. of Southern California
+Los Angeles, CA 90089
+Fei Sha
+Dept. of Computer Science
+U. of Southern California
+Los Angeles, CA 90089
+Kristen Grauman
+Dept. of Computer Science
+U. of Texas at Austin
+Austin, TX 78701"

+8de06a584955f04f399c10f09f2eed77722f6b1c,Facial Landmarks Localization Estimation by Cascaded Boosted Regression,"Author manuscript, published in ""International Conference on Computer Vision Theory and Applications (VISAPP 2013) (2013)"""

+8d4f0517eae232913bf27f516101a75da3249d15,Event-based Dynamic Face Detection and Tracking Based on Activity,"ARXIV SUBMISSION, MARCH 2018
+Event-based Dynamic Face Detection and
+Tracking Based on Activity
+Gregor Lenz, Sio-Hoi Ieng and Ryad Benosman"

+8d19cfe643582fae03ce024efaf117d1efef5e58,A Robust Likelihood Function for 3D Human Pose Tracking,"This is the author's version of an article that has been published in this journal. Changes were made to this version by the publisher prior to publication.
+The final version of record is available at http://dx.doi.org/10.1109/TIP.2014.2364113
+A Robust Likelihood Function for 3D Human Pose
+Tracking
+Weichen Zhang, Student Member, IEEE, Lifeng Shang, Member, IEEE, Antoni B. Chan, Member, IEEE,"

+8d97e0102b5d89c62e5c6697eeaaefc82b36c809,Bottom-up attention orienting in young children with autism.,"J Autism Dev Disord (2014) 44:664–673
+DOI 10.1007/s10803-013-1925-5
+O R I G I N A L P A P E R
+Bottom-Up Attention Orienting in Young Children with Autism
+Dima Amso • Sara Haas • Elena Tenenbaum •
+Julie Markant • Stephen J. Sheinkopf
+Published online: 1 September 2013
+Ó Springer Science+Business Media New York 2013"

+8d8afef13a8f6195d3b874231e5e767cf62f3c50,Deep Ranking for Person Re-Identification via Joint Representation Learning,"Deep Ranking for Person Re-identification via
+Joint Representation Learning
+Shi-Zhe Chen, Chun-Chao Guo, Student Member, IEEE, and Jian-Huang Lai, Senior Member, IEEE"

+8de2dbe2b03be8a99628ffa000ac78f8b66a1028,Action Recognition in Videos,"´Ecole Nationale Sup´erieure dInformatique et de Math´ematiques Appliqu´ees de Grenoble
+INP Grenoble – ENSIMAG
+UFR Informatique et Math´ematiques Appliqu´ees de Grenoble
+Rapport de stage de Master 2 et de projet de fin d’´etudes
+Effectu´e au sein de l’´equipe LEAR, I.N.R.I.A., Grenoble
+Action Recognition in Videos
+Gaidon Adrien
+e ann´ee ENSIMAG – Option I.I.I.
+M2R Informatique – sp´ecialit´e I.A.
+04 f´evrier 2008 – 04 juillet 2008
+LEAR,
+I.N.R.I.A., Grenoble
+655 avenue de l’Europe
+8 334 Montbonnot
+France
+Responsable de stage
+Mme. Cordelia Schmid
+Tuteur ´ecole
+M. Augustin Lux
+M. Roger Mohr"

+8db9f32b0de29cfb7fd8e3d225be47b801cc9848,Vision-based deep execution monitoring,"Vision-based deep execution monitoring
+Francesco Puja, Simone Grazioso, Antonio Tammaro, Valsmis Ntouskos, Marta Sanzari, Fiora Pirri"

+8d3fbdb9783716c1832a0b7ab1da6390c2869c14,Discriminant Subspace Analysis for Uncertain Situation in Facial Recognition,"Discriminant Subspace Analysis for Uncertain
+Situation in Facial Recognition
+Pohsiang Tsai, Tich Phuoc Tran, Tom Hintz and Tony Jan
+School of Computing and Communications – University of Technology, Sydney
+Australia
+. Introduction
+Facial    analysis  and  recognition  have  received  substential  attention  from  researchers  in
+iometrics,  pattern  recognition,  and  computer  vision  communities.  They  have  a  large
+number  of  applications,  such  as  security,  communication,  and  entertainment.  Although  a
+great deal of efforts has been devoted to automated face recognition systems, it still remains
+challenging uncertainty problem. This is because human facial appearance has potentially
+of very large intra-subject variations of head pose, illumination, facial expression, occlusion
+due to other objects or accessories, facial hair and aging. These misleading variations may
+ause classifiers to degrade generalization performance.
+It is important for face recognition systems to employ an effective feature extraction scheme
+to  enhance  separability  between  pattern  classes  which  should  maintain  and  enhance
+features of the input data that make distinct pattern classes separable (Jan, 2004). In general,
+there  exist  a  number  of  different  feature  extraction  methods.  The  most  common  feature
+extraction  methods  are  subspace  analysis  methods  such  as  principle  component  analysis
+(PCA)  (Kirby  &  Sirovich,  1990)  (Jolliffe,  1986)  (Turk  &  Pentland,  1991b),  kernel  principle"

+8d09c8c6b636ef70633a3f1bb8ff6b4d4136b5cf,3D Twins Expression Challenge,"D Twins Expression Challenge
+Vipin Vijayan, Kevin Bowyer, Patrick Flynn
+Department of Computer Science and Engineering,
+University of Notre Dame.
+84 Fitzpatrick Hall,
+Notre Dame, IN 46556, USA.
+{vvijayan, kwb,
+. Introduction
+We describe the 3D Twins Expression Challenge (“3D
+TEC”) problem in the area of 3D face recognition. The
+supporting dataset contains 3D scans of pairs of identical
+twins taken with two different facial expressions, neutral
+nd smiling. The dataset is smaller than the FRGC v2 [1]
+dataset by approximately a factor of ten, but is still more
+hallenging than the FRGC v2 dataset due to it containing
+twins with different expressions. This challenge problem
+will help to push the frontiers of 3D face recognition.
+Three dimensional face recognition is an active research
+topic in biometrics [2, 3]. While 2D pictures can be cap-
+tured quickly, non-intrusively, and easily by widely avail-"

+8d42a24d570ad8f1e869a665da855628fcb1378f,An Empirical Study of Context in Object Detection,"CVPR 2009 Submission #987. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
+An Empirical Study of Context in Object Detection
+Anonymous CVPR submission
+Paper ID 987"

+8d8461ed57b81e05cc46be8e83260cd68a2ebb4d,Age identification of Facial Images using Neural Network,"Age identification of Facial Images using Neural
+Network
+Sneha Thakur, Ligendra Verma
+CSE Department,CSVTU
+RIT, Raipur, Chhattisgarh , INDIA"

+8de7c496c1dac3be5fa55de72867325153b119bd,Robust Face Recognition using Key-point Descriptors,"Robust Face Recognition using Key-point Descriptors
+Soeren Klemm, Yasmina Andreu, Pedro Henriquez and Bogdan J. Matuszewski
+Robotics and Computer Vision Research Laboratory, School of Computing Engineering and Physical Sciences,
+University of Central Lancashire, Preston, U.K.
+Keywords:
+Face Recognition, SIFT, SURF, ORB, Feature Matching, Face Occlusions."

+8d384e8c45a429f5c5f6628e8ba0d73c60a51a89,Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection,"Temporal Dynamic Graph LSTM for Action-driven Video Object Detection
+Yuan Yuan1 Xiaodan Liang2 Xiaolong Wang2 Dit-Yan Yeung1 Abhinav Gupta2
+The Hong Kong University of Science and Technology 2 Carneige Mellon University"

+8d9067da4ba5c57643ee7a84cd5c5d5674384937,Sorting out Lipschitz function approximation,"SORTING OUT LIPSCHITZ FUNCTION APPROXIMATION
+Cem Anil ∗
+James Lucas∗
+Roger Grosse
+University of Toronto; Vector Institute
+{cemanil, jlucas,"

+8d559aeefb291d5b017c263a49f38e8a28439344,Visually-Driven Semantic Augmentation for Zero-Shot Learning,"VDSA: VISUALLY-DRIVEN SEMANTIC AUGMENTATION FOR ZSL
+Visually-Driven Semantic Augmentation for
+Zero-Shot Learning
+Abhinaba Roy1,2
+Jacopo Cavazza1
+Vittorio Murino1,3
+Pattern Analysis and Computer Vision
+Istituto Italiano di Tecnologia
+Genova, Italy
+Department of Naval, Electrical,
+Electronic and Telecommunications
+Engineering
+University of Genova, Italy
+Department of Computer Science
+University of Verona, Italy"

+8d6d0fdf4811bc9572326d12a7edbbba59d2a4cc,SchiNet: Automatic Estimation of Symptoms of Schizophrenia from Facial Behaviour Analysis,"SchiNet: Automatic Estimation of Symptoms of
+Schizophrenia from Facial Behaviour Analysis
+Mina Bishay, Petar Palasek, Stefan Priebe, and Ioannis Patras"

+8d4f2339fcadc2d1ef2126a11dce08ce7cb75bdd,Subspace Clustering via Optimal Direction Search,"Subspace Clustering via Optimal Direction Search
+Mostafa Rahmani, Student Member, IEEE and George K. Atia, Member, IEEE"

+8d3114a3236ec9adabcf0c40613a23f00c272a1c,From 3D Point Clouds to Pose-Normalised Depth Maps,"Int J Comput Vis (2010) 89: 152–176
+DOI 10.1007/s11263-009-0297-y
+From 3D Point Clouds to Pose-Normalised Depth Maps
+Nick Pears · Tom Heseltine · Marcelo Romero
+Received: 30 September 2008 / Accepted: 14 September 2009 / Published online: 25 September 2009
+© Springer Science+Business Media, LLC 2009"

+8d1adf0ac74e901a94f05eca2f684528129a630a,Facial Expression Recognition Using Facial Movement Features,"Facial Expression Recognition Using Facial
+Movement Features"

+8db43d306a70e23e2a0e6eb2fda60f14b73f65d0,Multi-Commodity Network Flow for Tracking Multiple People,"Multi-Commodity Network Flow
+for Tracking Multiple People
+Horesh Ben Shitrit, J´erˆome Berclaz, Franc¸ois Fleuret, and Pascal Fua, Fellow, IEEE"

+8dfdfcc3f34263779871d023fad973f4a1966ec0,Internet of vehicles in big data era,"Internet of Vehicles in Big Data Era
+Wenchao Xu, Haibo Zhou, Member, IEEE, Nan Cheng, Member, IEEE, Feng Lyu, Weisen Shi, Jiayin Chen,
+Xuemin (Sherman) Shen, Fellow, IEEE"

+8def62fd86b5ea0a41fd9f892bd95b01bf072e88,A hybrid approach to content based image retrieval using visual features and textual queries,"Proceedings of the 2013 International Conference on Information, Operations Management and Statistics (ICIOMS2013),
+Kuala Lumpur, Malaysia, September 1-3, 2013
+A Hybrid Approach to Content-based Image Retrieval
+Smarajit Bosea, Amita Pala*, Jhimli Mallickb , Sunil Kumarc
+Applied Statistics Division, Indian Statistical Institute, Kolkata, India
+TechBLA Solutions, Kolkata, India
+ETH, Zurich, Switzerland"

+8d646ac6e5473398d668c1e35e3daa964d9eb0f6,Memory-Efficient Global Refinement of Decision-Tree Ensembles and its Application to Face Alignment,"MEMORY-EFFICIENT GLOBAL REFINEMENT OF DECISION-TREE ENSEMBLES AND
+ITS APPLICATION TO FACE ALIGNMENT
+Nenad Markuˇs†
+Ivan Gogi´c†
+Igor S. Pandˇzi´c†
+J¨orgen Ahlberg‡
+University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia
+Computer Vision Laboratory, Dept. of Electrical Engineering, Link¨oping University, SE-581 83 Link¨oping, Sweden"

+8dffbb6d75877d7d9b4dcde7665888b5675deee1,Emotion Recognition with Deep-Belief Networks,"Emotion Recognition with Deep-Belief
+Networks
+Tom McLaughlin, Mai Le, Naran Bayanbat
+Introduction
+For  our  CS229  project,  we  studied  the  problem  of
+reliable  computerized  emotion  recognition  in  images  of
+human
+faces.  First,  we  performed  a  preliminary
+exploration using SVM classifiers, and then developed an
+pproach based on Deep Belief Nets. Deep Belief Nets, or
+DBNs,  are  probabilistic  generative  models  composed  of
+multiple  layers  of  stochastic  latent  variables,  where  each
+“building block” layer is a Restricted Boltzmann Machine
+(RBM).  DBNs  have  a  greedy  layer-wise  unsupervised
+learning algorithm as well as a discriminative fine-tuning
+procedure  for  optimizing  performance  on  classification
+tasks. [1].
+We  trained  our  classifier  on  three  databases:  the
+Cohn-Kanade Extended Database (CK+) [2], the Japanese
+Female  Facial Expression  Database (JAFFE) [3], and the"

+8d5998cd984e7cce307da7d46f155f9db99c6590,ChaLearn looking at people: A review of events and resources,"ChaLearn Looking at People:
+A Review of Events and Resources
+Sergio Escalera1,2, Xavier Bar´o2,3, Hugo Jair Escalante4,5, Isabelle Guyon4,6,
+Dept. Mathematics and Computer Science, UB, Spain,
+Computer Vision Center, UAB, Barcelona, Spain,
+EIMT, Open University of Catalonia, Barcelona, Spain,
+ChaLearn, California, USA, 5 INAOE, Puebla, Mexico,
+6 Universit´e Paris-Saclay, Paris, France,
+http://chalearnlap.cvc.uab.es"

+8dce38840e6cf5ab3e0d1b26e401f8143d2a6bff,Towards large scale multimedia indexing: A case study on person discovery in broadcast news,"Towards large scale multimedia indexing:
+A case study on person discovery in broadcast news
+Nam Le1, Hervé Bredin2, Gabriel Sargent3, Miquel India5, Paula Lopez-Otero6,
+Claude Barras2, Camille Guinaudeau2, Guillaume Gravier3, Gabriel Barbosa da Fonseca4,
+Izabela Lyon Freire4, Zenilton Patrocínio Jr4, Silvio Jamil F. Guimarães4, Gerard Martí5,
+Josep Ramon Morros5, Javier Hernando5, Laura Docio-Fernandez6, Carmen Garcia-Mateo6,
+Sylvain Meignier7, Jean-Marc Odobez1
+Idiap Research Institute & EPFL, 2 LIMSI, CNRS, Univ. Paris-Sud, Université Paris-Saclay,
+CNRS, Irisa & Inria Rennes, 4 PUC de Minas Gerais, Belo Horizonte,
+5 Universitat Politècnica de Catalunya, 6 University of Vigo, 7 LIUM, University of Maine"

+8d7a55d184659ac97d02061a660ae4e30604185b,Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation,"Penalizing Top Performers: Conservative Loss
+for Semantic Segmentation Adaptation
+Xinge Zhu1, Hui Zhou2, Ceyuan Yang1, Jianping Shi2, Dahua Lin1
+CUHK-SenseTime Joint Lab, CUHK
+SenseTime Research"

+8df3bef321cd1b259cf6fb1ef264a2e885610044,Interactively Learning Visually Grounded Word Meanings from a Human Tutor,"Proceedings of the 5th Workshop on Vision and Language, pages 48–53,
+Berlin, Germany, August 12 2016. c(cid:13)2016 Association for Computational Linguistics"

+8d156f3b4f1ad5d041ae9f50a0b879e25c80749e,A New Approach for Face Recognition and Age Classification using LDP,"International Journal of Scientific & Engineering Research, Volume 4, Issue 6, June 2013
+ISSN 2229-5518
+A New Approach for Face Recognition and Age
+Classification using LDP
+M Rama Bai
+Professor, Dept of CSE, M.G.I.T, JNTUH, Hyderabad, Andhra Pradesh, INDIA"

+153f5ad54dd101f7f9c2ae17e96c69fe84aa9de4,Overview of algorithms for face detection and tracking,"Overview of algorithms for face detection and
+tracking
+Nenad Markuˇs"

+15b44a1c3602385b6cf3eeb049cb2d6c12bb7d74,Automatic semantic annotation of images based on Web data,"010 Sixth International
+Conference
+on Information
+Assurance
+nd Security
+Automatic
+semantic annotation
+of images based on Web data
+Guiguang Ding
+School of Software
+University
+of Tsinghua
+Beijing,
+China
+edu.cn
+School of Software
+University
+Beijing,
+China
+of Tsinghua"

+155ce5d596c7b525110ca24db11e47d521b487ce,STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation,"STC: A Simple to Complex Framework for
+Weakly-supervised Semantic Segmentation
+Yunchao Wei, Xiaodan Liang, Yunpeng Chen, Xiaohui Shen, Ming-Ming Cheng, Jiashi Feng, Yao Zhao,
+Senior Member, IEEE and Shuicheng Yan Senior Member, IEEE"

+15c8443f8d9f1f6537fa8ff470ac407bf2185b0e,Learning Binary Code Representations for Effective and Efficient Image Retrieval,

+1550c3835822843a02b2144cef8abc534441f5d4,Human Pose Classification within the Context of Near-IR Imagery Tracking,"Human Pose Classification within the Context of Near-IR
+Imagery Tracking
+Jiwan Han, Anna Gaszczak, Ryszard Maciol, Stuart E. Barnes, Toby P. Breckon
+School of Engineering, Cranfield University, Bedfordshire, UK"

+15696370ff33b6e5a81bf5131d80065d6e59804f,Semantically guided location recognition for outdoors scenes,"Semantically Guided Location Recognition for Outdoors Scenes
+Arsalan Mousavian and Jana Koˇseck´a and Jyh-Ming Lien"

+15cf11ddfc046b2ed2766c375e8ad067baaf8347,Active Pedestrian Safety by Automatic Braking and Evasive Steering,"Active Pedestrian Safety
+y Automatic Braking and Evasive Steering
+C. Keller, T. Dang, H. Fritz, A. Joos, C. Rabe and D. M. Gavrila"

+15cd05baa849ab058b99a966c54d2f0bf82e7885,Structured Sparse Subspace Clustering: A unified optimization framework,"Structured Sparse Subspace Clustering: A Unified Optimization Framework
+Chun-Guang Li1, René Vidal2
+SICE, Beijing University of Posts and Telecommunications. 2Center for Imaging Science, Johns Hopkins University.
+In many real-world applications, we need to deal with high-dimensional
+datasets, such as images, videos, text, and more. In practice, such high-
+dimensional datasets can be well approximated by multiple low-dimensional
+subspaces corresponding to multiple classes or categories. For example, the
+feature point trajectories associated with a rigidly moving object in a video
+lie in an affine subspace (of dimension up to 4), and face images of a subject
+under varying illumination lie in a linear subspace (of dimension up to 9).
+Therefore, the task, known in the literature as subspace clustering [6], is
+to segment the data into the corresponding subspaces and finds multiple
+pplications in computer vision.
+State of the art approaches [1, 2, 3, 4, 5, 7] for solving this problem fol-
+low a two-stage approach: a) Construct an affinity matrix between points by
+exploiting the ‘self-expressiveness’ property of the data, which allows any
+data point to be represented as a linear (or affine) combination of the other
+data points; b) Apply spectral clustering on the affinity matrix to recover
+the data segmentation. Dividing the problem in two steps is, on the one
+hand, appealing because the first step can be solved using convex optimiza-"

+15136c2f94fd29fc1cb6bedc8c1831b7002930a6,Deep Learning Architectures for Face Recognition in Video Surveillance,"Deep Learning Architectures for Face
+Recognition in Video Surveillance
+Saman Bashbaghi, Eric Granger, Robert Sabourin and Mostafa Parchami"

+15623fe8875a36cac5283ff2f08cd50998599725,Semantic Instance Segmentation for Autonomous Driving,"Semantic Instance Segmentation for Autonomous Driving
+Bert De Brabandere
+Davy Neven
+ESAT-PSI, KU Leuven
+Luc Van Gool"

+159b52158512481df7684c341401efbdbc5d8f02,Object Detection with Active Sample Harvesting,"Object Detection
+with Active Sample Harvesting
+Thèse no 7312
+présentée le 5 Octobre 2016
+à la Faculté des Sciences et Techniques de l'Ingénieur
+Laboratoire LIDIAP (Idiap Research Institute)
+École Polytechnique Fédérale de Lausanne
+pour l'obtention du grade de Docteur ès Sciences
+Olivier Canévet
+devant le jury composé de :
+Prof. Pascal Frossard, président du jury
+Prof. Gilles Blanchard, rapporteur
+Prof. Raphael Sznitman, rapporteur
+Dr Mathieu Salzmann, rapporteur
+Dr François Fleuret, directeur de thèse
+Lausanne, EPFL, 2016"

+15e024d8f5625ec03c8ac592fbc093687cfb5f02,The Visual Object Tracking VOT2013 Challenge Results,"The Visual Object Tracking VOT2013 challenge results
+Matej Kristan a
+Luka ˇCehovin a
+Roman Pflugfelder b
+Georg Nebehay b
+Aleˇs Leonardis c
+Gustavo Fernandez b
+Jiri Matas d
+Tom´aˇs Voj´ıˇr d
+Fatih Porikli e
+Adam Gatt f
+Ahmad Khajenezhad g
+Alfredo Petrosino i
+Chee Seng Chan m
+Dorothy Monekosso n
+Jin Gao q
+Ahmed Salahledin h
+Anthony Milton j
+CherKeng Heng l
+Jingjing Xiao c"

+15605634feb1a5770182a8f2c3515daf102ed463,Real-time human pose recognition in parts from single depth images,"Real-Time Human Pose Recognition in Parts from Single Depth Images
+Mark Finocchio
+Jamie Shotton
+Andrew Fitzgibbon
+Toby Sharp
+Andrew Blake
+Richard Moore
+Mat Cook
+Alex Kipman
+Microsoft Research Cambridge & Xbox Incubation"

+15f57134b42638cbd57d0d8c4437e8b6b6a8bac4,Learning Visual Reasoning Without Strong Priors,"Learning Visual Reasoning Without Strong Priors
+Ethan Perez12, Harm de Vries1, Florian Strub3,
+Vincent Dumoulin1, Aaron Courville14
+MILA, Universit´e of Montr´eal, Canada; 2Rice University, U.S.A.
+Univ. Lille, CNRS, Centrale Lille, Inria, UMR 9189 CRIStAL France
+CIFAR Fellow, Canada"

+153e5cddb79ac31154737b3e025b4fb639b3c9e7,Active Dictionary Learning in Sparse Representation Based Classification,"PREPRINT SUBMITTED TO IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
+Active Dictionary Learning in Sparse
+Representation Based Classification
+Jin Xu, Haibo He, Senior Member, IEEE, and Hong Man, Senior Member, IEEE"

+15e6c983e74dcf70d8a557b75bdc172e36692191,VSO: Visual Semantic Odometry,"VSO: Visual Semantic Odometry
+Konstantinos-Nektarios Lianos 1,⋆,
+Johannes L. Sch¨onberger 2,
+Marc Pollefeys 2,3, Torsten Sattler 2
+Geomagical Labs, Inc., USA 3 Microsoft, Switzerland
+Department of Computer Science, ETH Z¨urich, Switzerland"

+15df73918e084a146cd215b839a3eec1cc813a78,Projection Peak Analysis for Rapid Eye Localization,"PROJECTION PEAK ANALYSIS FOR RAPID EYE LOCALIZATION
+Research Center of Intelligent Robotics, Shanghai Jiaotong University, Shanghai, 200240, China
+Jingwen Dai, Dan Liu and Jianbo Su
+Keywords:
+Eye localization, Threshold, Segmentation, Projection peak."

+1542b8a1805d73a755d4b2eb402c5c861e6acd02,PMCTrack: Delivering Performance Monitoring Counter Support to the OS Scheduler,"PMCTrack: Delivering performance
+monitoring counter support to the OS
+scheduler
+J. C. Saez1, A. Pousa2, R. Rodr´ıguez-Rodr´ıguez1, F. Castro1,
+M. Prieto-Matias1
+ArTeCS Group, Facultad de Inform´atica, Complutense University of Madrid
+III-LIDI, Facultad de Inform´atica, National University of La Plata
+Email:
+Hardware performance monitoring counters (PMCs) have proven effective in
+haracterizing application performance. Because PMCs can only be accessed
+directly at the OS privilege level, kernel-level tools must be developed to enable
+the end user and userspace programs to access PMCs. A large body of work
+has demonstrated that the OS can perform effective runtime optimizations in
+multicore systems by leveraging performance-counter data. Special attention has
+een paid to optimizations in the OS scheduler. While existing performance
+monitoring tools greatly simplify the collection of PMC application data from
+userspace, they do not provide an architecture-agnostic kernel-level mechanism
+that is capable of exposing high-level PMC metrics to OS components, such as
+the scheduler. As a result, the implementation of PMC-based OS scheduling
+schemes is typically tied to specific processor models."

+1548cea1fa9be7a23d4d1e38086336913d501e44,Semantic 3D Reconstruction of Heads Supplementary Material,"Semantic 3D Reconstruction of Heads
+Supplementary Material
+Fabio Maninchedda1, Christian H¨ane2,(cid:63), Bastien Jacquet3,(cid:63),
+Ama¨el Delaunoy(cid:63), Marc Pollefeys1,4
+ETH Zurich
+UC Berkeley
+Kitware SAS
+Microsoft
+Fig. 1: From left to right: Input image; Input labels and depth; Depth map fusion
+(TV-Flux fusion from [9]); Statistical model of [7] fitted into our raw input data;
+Our semantic reconstruction; Our result skin class only; Our model textured.
+(cid:63) Work done while authors were at the Department of Computer Science, ETH Z¨urich"

+15d1326f054f4fadea463f217ce54bad6908705a,Sensor fusion in smart camera networks for Ambient Intelligence - Report on PhD Thesis and Defense,"Sensor fusion in smart camera networks for ambient
+intelligence
+Maatta, T.T.
+0.6100/IR755363
+Published: 01/01/2013
+Document Version
+Publisher’s PDF, also known as Version of Record (includes final page, issue and volume numbers)
+Please check the document version of this publication:
+• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences
+etween the submitted version and the official published version of record. People interested in the research are advised to contact the
+uthor for the final version of the publication, or visit the DOI to the publisher's website.
+• The final author version and the galley proof are versions of the publication after peer review.
+• The final published version features the final layout of the paper including the volume, issue and page numbers.
+Link to publication
+Citation for published version (APA):
+Maatta, T. T. (2013). Sensor fusion in smart camera networks for ambient intelligence Eindhoven: Technische
+Universiteit Eindhoven DOI: 10.6100/IR755363
+General rights
+Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners
+nd it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights."

+159b87e6e68b18f4daa3505bfc415be9b21a7db6,Tracking The Invisible Man - Hidden-object Detection for Complex Visual Scene Understanding,

+15ec1faddbd61a9d50925c7b9b0c76642abe94e7,Efficient Techniques for Recovering 2d Human Body Poses from Images Dissertation Efficient Techniques for Recovering 2d Human Body Poses from Images Second Reader,"EFFICIENT TECHNIQUES FOR RECOVERING 2D
+HUMAN BODY POSES FROM IMAGES
+TAI-PENG TIAN
+Dissertation submitted in partial fulfillment
+of the requirements for the degree of
+Doctor of Philosophy
+BOSTON
+UNIVERSITY"

+150326137da214210b46e0b7f22e30f7e6529006,Pedestrian Detection at Warp Speed: Exceeding 500 Detections per Second,"Pedestrian Detection at Warp Speed: Exceeding 500 Detections per Second
+Floris De Smedt∗, Kristof Van Beeck∗, Tinne Tuytelaars and Toon Goedem´e
+EAVISE, ESAT-PSI-VISICS, KU Leuven, Belgium"

+15ebec3796a2e23d31c8c8ddf6d21555be6eadc6,Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks,"Recent Advances in Object Detection in the Age
+of Deep Convolutional Neural Networks
+Shivang Agarwal(∗
+,1), Jean Ogier du Terrail(∗
+,1,2), Fr´ed´eric Jurie(1)
+(∗) equal contribution
+(1)Normandie Univ, UNICAEN, ENSICAEN, CNRS
+(2)Safran Electronics and Defense
+September 11, 2018"

+156b194d0cee545337524bd993ae640ed227b79e,Radon Transform and Symbolic Linear Discriminant Analysis Based 3 D Face Recognition Using Knn and Svm,"ISSN   2320 - 2602
+Volume 2, No.12, December 2013
+P. S. Hiremath et al., International Journal of  Advances in Computer Science and Technology, 2(12), December 2013, 267-274
+International Journal of  Advances in Computer Science and Technology
+Available Online at http://warse.org/pdfs/2013/ijacst022122013.pdf
+RADON TRANSFORM AND SYMBOLIC LINEAR DISCRIMINANT
+ANALYSIS BASED 3D FACE RECOGNITION USING KNN AND SVM
+P. S. Hiremath, Manjunatha Hiremath1
+Department of Computer Science,
+Gulbarga University, Gulbarga, Karnataka, India"

+1565bf91f8fdfe5f5168a5050b1418debc662151,One-pass Person Re-identification by Sketch Online Discriminant Analysis,"One-pass Person Re-identification by
+Sketch Online Discriminant Analysis
+Wei-Hong Li, Zhuowei Zhong, and Wei-Shi Zheng∗"

+1546b65e5e95543cf2dc0ead92b758fb31a5f4d6,An inexpensive monocular vision system for tracking humans in industrial environments,"An Inexpensive Monocular Vision System for
+Tracking Humans in Industrial Environments
+Centre for Applied Autonomous Sensor Systems (AASS), ¨Orebro University, Sweden
+Rafael Mosberger and Henrik Andreasson"

+157eb982da8fe1da4c9e07b4d89f2e806ae4ceb6,Connecting the dots in multi-class classification: From nearest subspace to collaborative representation,"MITSUBISHI ELECTRIC RESEARCH LABORATORIES
+http://www.merl.com
+Connecting the Dots in Multi-Class Classification: From
+Nearest Subspace to Collaborative Representation
+Chi, Y.; Porikli, F.
+TR2012-043
+June 2012"

+15f51d51c05c22e1dca3a40fb1af46941d91f598,Modeling Visual Compatibility through Hierarchical Mid-level Elements,"Modeling Visual Compatibility through
+Hierarchical Mid-level Elements
+Jose Oramas M., Tinne Tuytelaars
+KU Leuven, ESAT-PSI, iMinds"

+15e0b9ba3389a7394c6a1d267b6e06f8758ab82b,The OU-ISIR Gait Database comprising the Large Population Dataset with Age and performance evaluation of age estimation,"Xu et al. IPSJ Transactions on Computer Vision and
+Applications  (2017) 9:24
+DOI 10.1186/s41074-017-0035-2
+IPSJ Transactions on Computer
+Vision and Applications
+TECHNICAL NOTE
+Open Access
+The OU-ISIR Gait Database comprising the
+Large Population Dataset with Age and
+performance evaluation of age estimation
+Chi Xu1,2, Yasushi Makihara2*, Gakuto Ogi2, Xiang Li1,2, Yasushi Yagi2 and Jianfeng Lu1"

+155033f2f096934042d659d10912ef29aa1cdbd1,Visual classification of coarse vehicle orientation using Histogram of Oriented Gradients features,"Visual Classification of Coarse Vehicle Orientation
+using Histogram of Oriented Gradients Features
+Paul E. Rybski and Daniel Huber and Daniel D. Morris and Regis Hoffman"

+158a8037ce1c577620550da385d2275a31b9ccaa,Combining motion detection and hierarchical particle filter tracking in a multi-player sports environment,"Combining motion detection and hierarchical particle filter tracking
+in a multi-player sports environment
+Robbie Vos, Willie Brink
+Department of Mathematical Sciences
+University of Stellenbosch, South Africa"

+157d2c6dd8c9999b251099ef4211cff8030ae486,Invariance properties of Gabor filter-based features-overview and applications,"Invariance Properties of Gabor Filter Based
+Features – Overview and Applications
+Joni-Kristian Kamarainen∗, Ville Kyrki, Member, IEEE, Heikki K¨alvi¨ainen, Member, IEEE"

+15aa6c457678e25f6bc0e818e5fc39e42dd8e533,Conditional Image Generation for Learning the Structure of Visual Objects,

+15c7fe9c9154113f9824f68ca1870564600b66d6,"EICHNER, FERRARI: BETTER APPEARANCE MODELS FOR PICTORIAL STRUCTURES 1 Better appearance models for pictorial structures","EICHNER, FERRARI: BETTER APPEARANCE MODELS FOR PICTORIAL STRUCTURES
+Better appearance models
+for pictorial structures
+Marcin Eichner
+Vittorio Ferrari
+Computer Vision Laboratory
+Zürich, Switzerland"

+15cf1f17aeba62cd834116b770f173b0aa614bf4,Facial Expression Recognition using Neural Network with Regularized Backpropagation Algorithm,"International Journal of Computer Applications (0975 – 8887)
+Volume 77 – No.5, September 2013
+Facial Expression Recognition using Neural Network with
+Regularized Back-propagation Algorithm
+Ashish Kumar Dogra
+Research Scholar
+Department of ECE,
+Lovely Professional University,
+Phagwara, India
+Nikesh Bajaj
+Assistant Professor
+Department of ECE,
+Lovely Professional University,
+Phagwara, India
+Harish Kumar Dogra
+Research Scholar
+Department of ECE,
+Gyan Ganga Institute of
+Technology & Sciences,
+Jabalpur, India"

+15f3d47b48a7bcbe877f596cb2cfa76e798c6452,Automatic face analysis tools for interactive digital games,"Automatic face analysis tools for interactive digital games
+Anonymised for blind review
+Anonymous
+Anonymous
+Anonymous"

+15728d6fd5c9fc20b40364b733228caf63558c31,Expanding the Breadth and Detail of Object Recognition By,(cid:13) 2013 Ian N. Endres

+15667845de2531b59736d866531728a771500d34,3-D Face Recognition Using Local Appearance-Based Models,"[4] L. Lee and W. E. L. Grimson, “Gait analysis for recognition and classi-
+fication,” in Proc. IEEE Int. Conf. Automatic Face and Gesture Recog-
+nition, Washington, DC, May 2002, pp. 734–742.
+[5] L. Wang, H. Ning, W. Hu, and T. Tan, “Gait recognition based on pro-
+rustes shape analysis,” in Proc. Int. Conf. Image Processing, 2002, pp.
+33–436.
+[6] L. Wang, H. Ning, T. Tan, and W. Hu, “Fusion of static and dynamic
+ody biometrics for gait recognition,” IEEE Trans. Circuits Syst. Video
+Technol., vol. 14, no. 2, pp. 149–158, Feb. 2004.
+[7] D. Cunado, M. S. Nixon, and J. N. Carter, “Automatic extraction and
+description of human gait models for recognition purposes,” in Comput.
+Vis. Image Understand., Apr. 2003, vol. 90, pp. 1–41.
+[8] P. J. Phillips, S. Sarkar, I. R. Vega, P. Grother, and K. W. Bowyer,
+“The gait identification challenge problem: Data sets and baseline al-
+gorithm,” in Proc. Int. Conf. Pattern Recognition, Quebec City, QC,
+Canada, Aug. 2002, vol. 1, pp. 385–388.
+[9] S. Sarkar, P. J. Phillips, Z. Liu, I. R. Vega, P. Grother, and K. W.
+Bowyer, “The human ID gait challenge problem: Data sets, perfor-
+mance, and analysis,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 27,
+no. 2, pp. 162–177, Feb. 2005."

+15e6e1551ce9a4094c57db70985e420e57c6997a,Asymmetric cross-view dictionary learning for person re-identification,"978-1-5090-4117-6/17/$31.00 ©2017 IEEE
+ICASSP 2017"

+155448563c354b01d12610b5864b511644cfeb27,Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets,"Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets
+Takuya Narihira
+Sony / ICSI
+Damian Borth
+DFKI / ICSI
+Stella X. Yu
+UC Berkeley / ICSI
+Karl Ni
+In-Q-Tel
+Trevor Darrell
+UC Berkeley / ICSI"

+15292f380f5996f539f4d5e93dba3082d53338fb,Feature Space Optimization for Semantic Video Segmentation,"Feature Space Optimization for Semantic Video Segmentation
+Abhijit Kundu∗
+Georgia Tech
+Vibhav Vineet∗
+Vladlen Koltun
+Intel Labs
+Intel Labs
+Figure 1. Semantic video segmentation on the Cityscapes dataset [6]. Input frame on the left, semantic segmentation computed by our
+pproach on the right."

+157ee7498320119f6f5da2d9c592448986edea7e,Learning Multiple Non-linear Sub-spaces Using K-RBMs,"Learning Multiple Non-Linear Sub-Spaces using K-RBMs
+Siddhartha Chandra1, Shailesh Kumar2 & C. V. Jawahar3
+CVIT, IIIT Hyderabad, 2Google, Hyderabad"

+153c8715f491272b06dc93add038fae62846f498,On Clustering Images of Objects,"(cid:13) Copyright by Jongwoo Lim, 2005"

+12dfc8d4062b83a0b824b1676533482f14e4978c,Cutting Edge: Soft Correspondences in Multimodal Scene Parsing,"Cutting Edge: Soft Correspondences in Multimodal Scene Parsing
+Sarah Taghavi Namin1,2 Mohammad Najafi1,2 Mathieu Salzmann2,3
+Australian National University (ANU)
+Lars Petersson1,2
+CVLab, EPFL, Switzerland
+NICTA∗
+{sarah.namin, mohammad.najafi,"

+12919f98aecdd74c1e0db56cba13d107553e421b,Temporal Model Adaptation for Person Re-Identification: Supplementary Material,"Temporal Model Adaptation for
+Person Re-Identification:
+Supplementary Material
+Niki Martinel1,3, Abir Das2,
+Christian Micheloni1, and Amit K. Roy-Chowdhury3
+University of Udine, 33100 Udine, Italy
+University of Massatchussets Lowell, 01852 Lowell, MA, USA
+University of California Riverside, 92507 Riverside, CA, USA"

+123bc74a006a75fefcdd9995cbdc1c6c64c8bed6,Socially Constrained Structural Learning for Groups Detection in Crowd,"Socially Constrained Structural Learning for
+Groups Detection in Crowd
+Francesco Solera, Simone Calderara, Member, IEEE, and Rita Cucchiara, Fellow, IEEE"

+124476c2815bbfb523c77943c74356f94f79b580,Recognition of Faces in Unconstrained Environments: A Comparative Study,"Hindawi Publishing Corporation
+EURASIP Journal on Advances in Signal Processing
+Volume 2009, Article ID 184617, 19 pages
+doi:10.1155/2009/184617
+Research Article
+Recognition of Faces in Unconstrained Environments:
+A Comparative Study
+Javier Ruiz-del-Solar, Rodrigo Verschae, and Mauricio Correa
+Department of Electrical Engineering, Universidad de Chile, Avenida Tupper 2007, 837-0451 Santiago, Chile
+Correspondence should be addressed to Javier Ruiz-del-Solar,
+Received 10 October 2008; Revised 31 January 2009; Accepted 13 March 2009
+Recommended by Kevin Bowyer
+The aim of this work is to carry out a comparative study of face recognition methods that are suitable to work in unconstrained
+environments. The analyzed methods are selected by considering their performance in former comparative studies, in addition to
+e real-time, to require just one image per person, and to be fully online. In the study two local-matching methods, histograms
+of LBP features and Gabor Jet descriptors, one holistic method, generalized PCA, and two image-matching methods, SIFT-
+ased and ERCF-based, are analyzed. The methods are compared using the FERET, LFW, UCHFaceHRI, and FRGC databases,
+which allows evaluating them in real-world conditions that include variations in scale, pose, lighting, focus, resolution, facial
+expression, accessories, makeup, occlusions, background and photographic quality. Main conclusions of this study are: there is
+large dependence of the methods on the amount of face and background information that is included in the face’s images,"

+12c7ecbfd714c160d2a6bb9cf03fa8b88e8da62b,Impaired Recognition of Basic Emotions from Facial Expressions in Young People with Autism Spectrum Disorder: Assessing the Importance of Expression Intensity.,"Griffiths, S. L., Jarrold, C., Penton-Voak, I., Woods, A., Skinner, A., &
+Munafo, M. (2017). Impaired Recognition of Basic Emotions from Facial
+Expressions in Young People with Autism Spectrum Disorder: Assessing the
+Importance of Expression Intensity. Journal of Autism and Developmental
+Disorders. DOI: 10.1007/s10803-017-3091-7
+Publisher's PDF, also known as Version of record
+License (if available):
+CC BY
+Link to published version (if available):
+0.1007/s10803-017-3091-7
+Link to publication record in Explore Bristol Research
+PDF-document
+This is the final published version of the article (version of record). It first appeared online via Springer at
+http://link.springer.com/article/10.1007%2Fs10803-017-3091-7. Please refer to any applicable terms of use of
+the publisher.
+University of Bristol - Explore Bristol Research
+General rights
+This document is made available in accordance with publisher policies. Please cite only the published
+version using the reference above. Full terms of use are available:
+http://www.bristol.ac.uk/pure/about/ebr-terms.html"

+12d62f1360587fdecee728e6c509acc378f38dc9,Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Feature Affinity based Pseudo Labeling for
+Semi-supervised Person Re-identification
+Guodong Ding, Shanshan Zhang, Salman Khan, Zhenmin Tang, Jian Zhang, Senior Member, IEEE and Fatih
+Porikli, Fellow, IEEE"

+122ee00cc25c0137cab2c510494cee98bd504e9f,The Application of Active Appearance Models to Comprehensive Face Analysis Technical Report,"The Application of
+Active Appearance Models to
+Comprehensive Face Analysis
+Technical Report
+Simon Kriegel
+TU M¨unchen
+April 5, 2007"

+12ebb51d50f704b5d0a8d821e90dd336175ec8aa,TUHOI: Trento Universal Human Object Interaction Dataset,"Proceedings of the 25th International Conference on Computational Linguistics, pages 17–24,
+Dublin, Ireland, August 23-29 2014."

+127759fc41d62b516298fff2706dfcc754ff1ee8,Fabrik: An Online Collaborative Neural Network Editor,"FABRIK: AN ONLINE COLLABORATIVE NEURAL NETWORK EDITOR
+Utsav Garg 1 Viraj Prabhu 2 Deshraj Yadav 2 Ram Ramrakhya 3 Harsh Agrawal 2 Dhruv Batra 2 4
+fabrik.cloudcv.org"

+12417ed7ae81fb4e6c07f501ace9ea463349481b,Pairwise Augmented GANs with Adversarial Reconstruction Loss,"PAIRWISE AUGMENTED GANS WITH
+ADVERSARIAL RECONSTRUCTION LOSS
+Aibek Alanov1,2,3∗, Max Kochurov1,2∗, Daniil Yashkov5, Dmitry Vetrov1,3,4
+Samsung AI Center in Moscow
+Skolkovo Institute of Science and Technology
+National Research University Higher School of Economics
+Joint Samsung-HSE lab
+5Federal Research Center ""Informatics and Management"" of the Russian Academy of Sciences"

+129a6daa54a7334930b6413875b6154acef3922a,Data-Driven Synthesis of Cartoon Faces Using Different Styles,"Data-Driven Synthesis of Cartoon
+Faces Using Different Styles
+Yong Zhang, Weiming Dong, Member, IEEE, Chongyang Ma, Xing Mei, Member, IEEE, Ke Li,
+Feiyue Huang, Bao-Gang Hu, Senior Member, IEEE, and Oliver Deussen"

+124fddbb5cbe4e5e6ea69be1467437aad01eb5d9,A Unified Algorithmic Framework for Multi-Dimensional Scaling,"A Unified Algorithmic Framework for Multi-Dimensional Scaling
+Arvind Agarwal
+Jeff M. Phillips†
+Suresh Venkatasubramanian‡"

+12d0c11d546d91e776a170898ebf3a38c010695c,Semi-Supervised Hashing for Large-Scale Search,"Semi-Supervised Hashing for Large Scale
+Search
+Jun Wang, Member, IEEE, Sanjiv Kumar, Member, IEEE, and Shih-Fu Chang, Fellow, IEEE"

+12727bb8a4a1462553a13a253a97c2569cbcba0a,Study on Different Representation Methods for Subspace Segmentation,"International Journal of Grid Distribution Computing
+Vol.8, No.1 (2015), pp.259-268
+http://dx.doi.org/10.14257/ijgdc.2015.8.1.24
+Study on Different Representation Methods for Subspace
+Segmentation
+Jiangshu Wei, Mantao Wang and Qianqian Wu
+College of Information and Engineering, Sichuan Agricultural University, Ya’an,
+625014, China"

+12149fc431d2b3ec4d1f194e92e74c765e51ee67,Concentration in unbounded metric spaces and algorithmic stability,"Concentration in unbounded metric spaces and algorithmic stability
+Aryeh Kontorovich
+Department of Computer Science, Ben-Gurion University, Beer Sheva 84105, ISRAEL"

+120b22e7a47923e42a123b9b68a93ccac5aaea6d,Paper on Ear Biometric Authentication,"Research Article                                                                                                                           Volume 6 Issue No.10
+ISSN XXXX XXXX © 2016 IJESC
+Review Paper on Ear Biometric Authentication
+Shubham Mohurle 1, See ma Khutwad 2, Pratiksha Kunjir3, Anjali Bhosle4
+Assistant Professor4
+KJCOEM R, Pune, India
+Abstrac t:
+In this paper we have studied about ear bio metric  authentication. Powe rful bio metrics likes fingerprint, face  and iris are used while
+omparing  the  new  biometric  technology  that  is  human  ear  recognition.  We  are studied  different  methods  like  2D  ear  reco gnition,
+Pattern extract ion method, robust algorithm, Pixe l based feature extraction.  Genetic algorith m  is the solution to all proble ms faced  by
+these methods. Recognition Rate for t ime series  modeling is 99% obtained.AR  model is used for time series  modeling.  All  methods
+re discussed later.
+Ke ywor ds:  Ear, Recognition Rate, 2D image, AR model
+During crime  investigation, in the absence of (valid) fingerprints
+nd  footprints  ear  ma rks  are   used  for  identification.  Just  like
+fingerprints,  use  of  ear  shapes  recommends  its  use  for  human
+identification.  An  ear  recognition  system  is  simila r  to  face
+recognition  system  and  which  has  five  components:  image
+cquisition, preprocessing, feature extraction,  model training and
+template  matching. Du ring image  gaining, an image of the ear is"

+12cb3bf6abf63d190f849880b1703ccc183692fe,Guess Who?: A game to crowdsource the labeling of affective facial expressions is comparable to expert ratings,"Guess Who?: A game to crowdsource the labeling of affective facial
+expressions is comparable to expert ratings.
+Barry Borsboom
+Graduation research project, june 2012
+Supervised by: Dr. Joost Broekens
+Leiden University Media Technology Department,"

+1222705b626a33974e85985ddabfcea135e9ddce,k-fold Subsampling based Sequential Backward Feature Elimination,

+127c229a3306bfc8170b84b12316f4a8024cc7ab,"A derived transformation of emotional functions using self-reports, implicit association tests, and frontal alpha asymmetries.","Learn Behav
+DOI 10.3758/s13420-015-0198-6
+A derived transformation of emotional functions
+using self-reports, implicit association tests, and frontal
+lpha asymmetries
+Micah Amd 1 & Bryan Roche 1
+# Psychonomic Society, Inc. 2015"

+12cd96a419b1bd14cc40942b94d9c4dffe5094d2,Leveraging Captions in the Wild to Improve Object Detection,"Proceedings of the 5th Workshop on Vision and Language, pages 29–38,
+Berlin, Germany, August 12 2016. c(cid:13)2016 Association for Computational Linguistics"

+12c548d99fdc59bd702910af2c3daa17ed43e5d7,Performance analysis of different matrix decomposition methods on face recognition,"016 International Conference on Computer Communication and Informatics (ICCCI -2016), Jan. 07 – 09, 2016, Coimbatore, INDIA
+Performance analysis of different Matrix
+decomposition methods on Face Recognition
+Dept. of Electronics and Communication Engineering
+Dept. of Electronics and Communication Engineering
+Suresh Babu K and K B Raja
+UVCE, Bengaluru, India
+the  recognition  accuracy
+image  and  known  stored  images  in  terms  of  dimension
+reduced  images  is  made  to  declare  identity  of  a  person.  It  is
+proved
+improved  by
+onverting the images  with variation in expression to neutral
+images [5] and using image fusion with light field camera for
+image  capturing  [6].  Maintaining  robustness  in  recognition
+ccuracy is elusive for key factors such as pose [7], back view
+illumination  variation  [9]  and  others.  Developing
+illumination invariant image  representation  with textures is a
+difficult  task  and  pre-processing  methods  for  mitigating  the
+illumination  effect  are  discussed  in  future  sections  of  this"

+1275852f2e78ed9afd189e8b845fdb5393413614,A Transfer Learning based Feature-Weak-Relevant Method for Image Clustering,"A Transfer Learning based Feature-Weak-Relevant Method for
+Image Clustering
+Bo Dong, Xinnian Wang
+Dalian Maritime University
+Dalian, China"

+126b98473cc25e604abd58eb6bcf720354ac7e7a,An experimental illustration of 3D facial shape analysis under facial expressions,"Author manuscript, published in ""Annals of Telecommunications 64, 5-6 (2009) 369-379"""

+12055b8f82d5411f9ad196b60698d76fbd07ac1e,Multiview Facial Landmark Localization in RGB-D Images via Hierarchical Regression With Binary Patterns,"Multiview Facial Landmark Localization in RGB-D
+Images via Hierarchical Regression
+With Binary Patterns
+Zhanpeng Zhang, Student Member, IEEE, Wei Zhang, Member, IEEE, Jianzhuang Liu, Senior Member, IEEE,
+nd Xiaoou Tang, Fellow, IEEE"

+12d813f14166578dea8aa6aacc945102dddfd05d,Fog Computing in 5G Networks: An Application Perspective,"“fog˙5g˙full”
+016/5/4
+page 1
+Chapter 1
+Fog Computing in 5G Networks: An Application
+Perspective
+Harshit Gupta1, Sandip Chakraborty1, Soumya K. Ghosh1,
+nd Rajkumar Buyya2
+Department of Computer Science and Engineering, IIT
+CLOUDS Laboratory, University of Melbourne, Australia
+Kharagpur, India"

+12e80b3a89bc021a6352840fb4552df842a6fe7d,Fast sparse representation with prototypes,"Fast Sparse Representation with Prototypes
+Jia-Bin Huang and Ming-Hsuan Yang
+University of California at Merced"

+1272d526614e40ce859e73de7e39a54baffd28cc,A unified approach to learning task-specific bit vector representations for fast nearest neighbor search,"A Unified Approach to Learning Task-Specific Bit Vector
+Representations for Fast Nearest Neighbor Search
+Vinod Nair
+Yahoo! Labs Bangalore
+Dhruv Mahajan
+Yahoo! Labs Bangalore
+S. Sundararajan
+Yahoo! Labs Bangalore"

+120785f9b4952734818245cc305148676563a99b,Diagnostic automatique de l'état dépressif(Classification of depressive moods),"Diagnostic automatique de l’état dépressif
+S. Cholet
+H. Paugam-Moisy
+Laboratoire de Mathématiques Informatique et Applications (LAMIA - EA 4540)
+Université des Antilles, Campus de Fouillole - Guadeloupe
+Résumé
+Les troubles psychosociaux sont un problème de santé pu-
+lique majeur, pouvant avoir des conséquences graves sur
+le court ou le long terme, tant sur le plan professionnel que
+personnel ou familial. Le diagnostic de ces troubles doit
+être établi par un professionnel. Toutefois, l’IA (l’Intelli-
+gence Artificielle) peut apporter une contribution en four-
+nissant au praticien une aide au diagnostic, et au patient
+un suivi permanent rapide et peu coûteux. Nous proposons
+une approche vers une méthode de diagnostic automatique
+de l’état dépressif à partir d’observations du visage en
+temps réel, au moyen d’une simple webcam. A partir de
+vidéos du challenge AVEC’2014, nous avons entraîné un
+lassifieur neuronal à extraire des prototypes de visages
+selon différentes valeurs du score de dépression de Beck"

+12c5cd899d5ed85741197baed191f3b8b7fac495,Altered intrinsic functional connectivity of anterior and posterior insula regions in high-functioning participants with autism spectrum disorder.,"Altered Intrinsic Functional Connectivity of
+Anterior and Posterior Insula Regions in
+High-Functioning Participants With
+Autism Spectrum Disorder
+Sjoerd J.H. Ebisch,1,2* Vittorio Gallese,3,4 Roel M. Willems,5
+Dante Mantini,1,2,6 Wouter B. Groen,7 Gian Luca Romani,1,2
+Jan K. Buitelaar,7 and Harold Bekkering8
+Department of Clinical Sciences and Bioimaging, G. d’Annunzio University Chieti-Pescara,
+Institute for Advanced Biomedical Technologies (ITAB), G. d’Annunzio Foundation, Chieti, Italy
+Department of Neuroscience, Section of Physiology, Parma University, Parma, Italy
+Chieti, Italy
+Italian Institute of Technology (IIT), Section of Parma, Italy
+5Donders Institute for Brain, Cognition and Behavior, Centre for Cognitive Neuroimaging,
+6Laboratory for Neuro-Psychophysiology, K.U. Leuven Medical School, Leuven, Belgium
+7Department of Psychiatry, Radboud University Medical Centre and Karakter University Centre for
+Radboud University, Nijmegen, The Netherlands
+Child and Adolescent Psychiatry, Nijmegen, The Netherlands
+8Donders Institute for Brain, Cognition and Behavior, Centre for Cognition,
+Radboud University, Nijmegen, The Netherlands"

+122c674f264c53d762af841669209e131b49b3f2,Non-Rigid Structure from Motion for Building 3D Face Model,"Faculty of Informatics
+Institute for Anthropomatics
+Chair Prof. Dr.-Ing. R. Stiefelhagen
+Facial Image Processing and Analysis Group
+Non-Rigid Structure from Motion
+for Building 3D Face Model
+DIPLOMA THESIS OF
+Chengchao Qu
+ADVISORS
+Dipl.-Inform. Hua Gao
+Dr.-Ing. Hazım Kemal Ekenel
+MARCH 2011
+KIT – University of the State of Baden-Württemberg and National Laboratory of the Helmholtz Association
+www.kit.edu"

+127316fbe268c78c519ceb23d41100e86639418a,CNN Features Off-the-Shelf: An Astounding Baseline for Recognition,"CNN Features off-the-shelf: an Astounding Baseline for Recognition
+Ali Sharif Razavian Hossein Azizpour
+Josephine Sullivan Stefan Carlsson
+CVAP, KTH (Royal Institute of Technology)
+Stockholm, Sweden"

+123a9768700433c405bd7266f4c57ca8222e7fe1,Expanded Parts Model for Human Attribute and Action Recognition in Still Images,"Expanded Parts Model for Human Attribute and Action
+Recognition in Still Images
+Gaurav Sharma1,2, Fr´ed´eric Jurie1, Cordelia Schmid2
+GREYC, CNRS UMR 6072, University of Caen Basse-Normandie
+LEAR, INRIA Grenoble Rhˆone-Alpes
+inria}.fr"

+12ebeb2176a5043ad57bc5f3218e48a96254e3e9,Traffic Road Sign Detection and Recognition for Automotive Vehicles,"International Journal of Computer Applications (0975 – 8887)
+Volume 120 – No.24, June 2015
+Traffic Road Sign Detection and Recognition for
+Automotive Vehicles
+Md. Safaet Hossain
+Zakir Hyder
+Department of Electrical Engineering and
+Department of Electrical Engineering and
+Computer Science North South University, Dhaka
+Computer Science North South University, Dhaka
+Bangladesh
+Bangladesh"

+12150d8b51a2158e574e006d4fbdd3f3d01edc93,Deep End2End Voxel2Voxel Prediction,"Deep End2End Voxel2Voxel Prediction
+Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo
+Torresani, Manohar Paluri
+Presented by: Ahmed Osman
+Ahmed Osman"

+12ba7c6f559a69fbfaacf61bfb2f8431505b09a0,DocFace+: ID Document to Selfie Matching,"DocFace+: ID Document to Selfie* Matching
+Yichun Shi, Student Member, IEEE, and Anil K. Jain, Life Fellow, IEEE"

+12d8730da5aab242795bdff17b30b6e0bac82998,Persistent Evidence of Local Image Properties in Generic ConvNets,"Persistent Evidence of Local Image Properties in Generic ConvNets
+Ali Sharif Razavian, Hossein Azizpour,
+Atsuto Maki, Josephine Sullivan, Carl Henrik Ek, and Stefan Carlsson
+CVAP, KTH (Royal Institute of Technology), Stockholm, SE-10044"

+12831caca9674e0ab3fe2fc02a447ddb5a372994,Deep Aesthetic Quality Assessment With Semantic Information,"Deep Aesthetic Quality Assessment with Semantic
+Information
+Yueying Kao, Ran He, Kaiqi Huang"

+8c13f2900264b5cf65591e65f11e3f4a35408b48,A Generic Face Representation Approach for Local Appearance Based Face Verification,"A GENERIC FACE REPRESENTATION APPROACH FOR
+LOCAL APPEARANCE BASED FACE VERIFICATION
+Hazim Kemal Ekenel, Rainer Stiefelhagen
+Interactive Systems Labs, Universität Karlsruhe (TH)
+76131 Karlsruhe, Germany
+{ekenel,
+web: http://isl.ira.uka.de/face_recognition/"

+8ca29760334b7bdeaa7ad7ae4ff54c3b24420dd2,Analysis of Dynamic Characteristics of Spontaneous Facial Expressions,"Analysis of Dynamic Characteristics of Spontaneous Facial Expressions
+Masashi Komori  Yoshitaro Onishi
+Division of Information and Computer Sciences, Osaka Electro-Communication University,
+8-8 Hatsucho, Neyagawa, Osaka, 572-8530, JAPAN"

+8c5fa29c9bcab3d518fdf355e9da62fb0b58905e,Exploiting Semantics in Adversarial Training for Image-Level Domain Adaptation,"Exploiting Semantics in Adversarial Training for
+Image-Level Domain Adaptation
+st Pierluigi Zama Ramirez
+University of Bologna
+nd Alessio Tonioni
+University of Bologna
+rd Luigi Di Stefano
+University of Bologna"

+8c955f3827a27e92b6858497284a9559d2d0623a,Facial Expression Recognition under Noisy Environment Using Gabor Filters,"Buletinul Ştiinţific al Universităţii ""Politehnica"" din Timişoara
+Seria ELECTRONICĂ şi TELECOMUNICAŢII
+TRANSACTIONS on ELECTRONICS and COMMUNICATIONS
+Tom 53(67), Fascicola 1-2, 2008
+Facial Expression Recognition under Noisy Environment
+Using Gabor Filters
+Ioan Buciu1, I. Nafornita2, I. Pitas3"

+8cd61bb3469aa253d4411ef2295b50683a031d17,Random Occlusion-recovery for Person Re-identification,"Random Occlusion-recovery for Person Re-identification
+Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji
+Di Wu1, Kun Zhang1 and De-Shuang Huang1
+University, Caoan Road 4800, Shanghai 201804, China"

+8c30b154811453b6a1017bb27e3becefde44f689,Bibliometric profile of the global scientific research on autism spectrum disorders,"Sweileh et al. SpringerPlus  (2016) 5:1480
+DOI 10.1186/s40064-016-3165-6
+RESEARCH
+Bibliometric profile of the global
+scientific research on autism
+spectrum disorders
+Waleed M. Sweileh1*, Samah W. Al‑Jabi2, Ansam F. Sawalha1 and Sa’ed H. Zyoud2
+Open Access"

+8c7f4c11b0c9e8edf62a0f5e6cf0dd9d2da431fa,Dataset Augmentation for Pose and Lighting Invariant Face Recognition,"Dataset Augmentation for Pose and Lighting
+Invariant Face Recognition
+Daniel Crispell∗, Octavian Biris∗, Nate Crosswhite†, Jeffrey Byrne†, Joseph L. Mundy∗
+Vision Systems, Inc.
+Systems and Technology Research"

+8cf679ef0ea28557acb86546e4b1b1a617d1c698,Long Term Multi-Target Tracking based on Detection and Data Association,"International Journal of Electronics and Electrical Engineering Vol. 1, No. 3, September, 2013
+Long Term Multi-Target Tracking based on
+Detection and Data Association
+Ai Min Li
+Shandong Polytechnic University, Jinan, China
+Email:
+Pil Seong Park
+University of Suwon, Suwon, Korea
+Email:"

+8c0f38c7c07c631d0b5414a84dda2992bdc4514f,Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms,"Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms
+{tag}                                                 {/tag}
+International Journal of Computer Applications
+Foundation of Computer Science (FCS), NY, USA
+Volume 134
+Number 7
+Year of Publication: 2016
+Authors:
+Filani Araoluwa S., Adetunmbi Adebayo O.
+10.5120/ijca2016907932
+{bibtex}2016907932.bib{/bibtex}"

+8cc23e554d98522b377d227dc78e9382a0ed35e5,"Bootstrap, Review, Decode: Using Out-of-Domain Textual Data to Improve Image Captioning","Bootstrap, Review, Decode: Using Out-of-Domain Textual Data
+to Improve Image Captioning
+Wenhu Chen
+RWTH Aachen
+Aurelien Lucchi
+ETH Zurich
+Thomas Hofmann
+ETH Zurich"

+8c5852530abaefcdce805d1e339677351c6ec7fe,Lernen situationsunabhängiger Personenerkennung,"{ HAUPTBEITRAG / SITUATIONSUNABHÄNGIGE PERSONENERKENNUNG
+Lernen situationsunabhängiger
+Personenerkennung
+Marco K. Müller · Michael Tremer
+Christian Bodenstein · Rolf P. Würtz
+Einleitung
+In den vergangenen 25 Jahren hat sich automati-
+sche Gesichtserkennung von einem akademischen
+Projekt zu einer reifen Technik entwickelt. Bei der
+Frage, ob es sich auf zwei Fotos um die gleiche Per-
+son handelt, sind kommerzielle Systeme inzwischen
+sogar Menschen überlegen [6]. Dies ist nicht mit der
+Erkennung von bekannten Personen zu verwech-
+seln, die der Mensch in sehr vielen verschiedenen
+Situationen auch nach vielen Jahren wiedererkennen
+kann.
+Es ist eine zentrale Aufgabe des Computersehens,
+ekannte Objekte in Bildern wiederzuerkennen. Dies
+ist schwierig, weil dasselbe Objekt in verschiede-
+nen Situationen sehr verschiedene Bilder erzeugt."

+8c244417db2082f4d5897548e72ef304ae886e52,Tree Based Space Partition of Trajectory Pattern Mining For Frequent Item Sets,"Australian Journal of Basic and Applied Sciences, 10(2) Special 2016, Pages: 250-261
+Australian Journal of Basic and Applied Sciences
+AUSTRALIAN JOURNAL OF BASIC AND
+AUSTRALIAN JOURNAL OF BASIC AND
+APPLIED SCIENCES
+ISSN:1991-8178        EISSN: 2309-8414
+Journal home page: www.ajbasweb.com
+Tree  Based  Space  Partition  of  Trajectory  Pattern  Mining  For  Frequent
+Tree  Based  Space  Partition  of  Trajectory  Pattern  Mining  For  Frequent
+Tree  Based  Space  Partition  of  Trajectory  Pattern  Mining  For  Frequent
+Item Sets
+nd Engineering  , Alagappa University, Tamil Nadu, India.
+P.Geetha and 2 E. Ramaraj
+Ph.D scholar, Alagappa University.
+Department of Computer Science and Engineering
+Address For Correspondence:
+P.Geetha, Ph.D scholar, Alagappa University.
+Ph.D scholar, Alagappa University.
+A R T I C L E   I N F O
+Article history:"

+8ce9b7b52d05701d5ef4a573095db66ce60a7e1c,Structured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework,"Structured Sparse Subspace Clustering: A Joint
+Affinity Learning and Subspace Clustering
+Framework
+Chun-Guang Li, Chong You, and Ren´e Vidal"

+8cb6daba2cb1e208e809633133adfee0183b8dd2,Know Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models,"Know Before You Do: Anticipating Maneuvers
+via Learning Temporal Driving Models
+Ashesh Jain, Hema S Koppula, Bharad Raghavan, Shane Soh, Ashutosh Saxena
+Cornell University and Stanford University"

+8cb4349f7d4b04a2e98b727524d3699bad50de1c,SOCIAL GAME EPITOME VERSUS AUTOMATIC VISUAL ANALYSIS Paper ID ***,"SOCIAL GAME EPITOME VERSUS AUTOMATIC VISUAL ANALYSIS
+Paper ID ***"

+8c6427cc1f4e1bbe5d6da34a4511842361f4fbb6,Hypothesis Only Baselines in Natural Language Inference,"Hypothesis Only Baselines in Natural Language Inference
+Adam Poliak1 Jason Naradowsky1 Aparajita Haldar1,2
+Rachel Rudinger1 Benjamin Van Durme1
+Johns Hopkins University 2BITS Pilani, Goa Campus, India"

+8c3c699f568ee825eefc4dc44b71c8b0bc592cca,Binary Multi-View Clustering.,"Binary Multi-View Clustering
+Zheng Zhang†, Li Liu†, Fumin Shen, Heng Tao Shen, Ling Shao*"

+8c6c0783d90e4591a407a239bf6684960b72f34e,SESSION KNOWLEDGE ENGINEERING AND MANAGEMENT + KNOWLEDGE ACQUISITION Chair(s),"SESSION
+KNOWLEDGE ENGINEERING AND
+MANAGEMENT + KNOWLEDGE ACQUISITION
+Chair(s)
+Int'l Conf. Information and Knowledge Engineering | IKE'13 |1"

+8cc07ae9510854ec6e79190cc150f9f1fe98a238,Using Deep Learning to Challenge Safety Standard for Highly Autonomous Machines in Agriculture,"Article
+Using Deep Learning to Challenge Safety Standard
+for Highly Autonomous Machines in Agriculture
+Kim Arild Steen *,†, Peter Christiansen †, Henrik Karstoft and Rasmus Nyholm Jørgensen
+Department of Engineering, Aarhus University, Finlandsgade 22 8200 Aarhus N, Denmark;
+(P.C.); (H.K.); (R.N.J.)
+* Correspondence: Tel.: +45-3116-8628
+These authors contributed equally to this work.
+Academic Editors: Francisco Rovira-Más and Gonzalo Pajares Martinsanz
+Received: 18 December 2015; Accepted: 2 February 2016; Published: 15 February 2016"

+8599560c50a55e75928dba6bbcbb98ef180a0798,Vocabulary Length Experiments for Binary Image Classification Using Bov Approach,"Signal & Image Processing : An International Journal (SIPIJ) Vol.4, No.6, December 2013
+VOCABULARY LENGTH EXPERIMENTS FOR BINARY
+IMAGE CLASSIFICATION USING BOV APPROACH
+S.P.Vimal1, Eshaan Puri2 and P.K.Thiruvikiraman3
+,2Department of Computer Science and Information Systems
+Birla Institute of Technology and Science, Pilani, Rajasthan, India
+Department of Physics,  Birla Institute of Technology and Science,
+Hyderabad Campus, Andra Pradesh, India"

+8509abbde2f4b42dc26a45cafddcccb2d370712f,A way to improve precision of face recognition in SIPP without retrain of the deep neural network model,"Improving precision and recall of face recognition in SIPP with combination of
+modified mean search and LSH
+Xihua.Li"

+8529c0b98ab4f6eb21715a54395420988dd69633,Adapting Semantic Segmentation Models for Changes in Illumination and Camera Perspective,"Adapting Semantic Segmentation Models for Changes
+in Illumination and Camera Perspective
+Wei Zhou, Alex Zyner, Stewart Worrall, and Eduardo Nebot"

+858ddff549ae0a3094c747fb1f26aa72821374ec,"Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications","Survey on RGB, 3D, Thermal, and Multimodal
+Approaches for Facial Expression Recognition:
+History, Trends, and Affect-related Applications
+Ciprian A. Corneanu, Marc Oliu, Jeffrey F. Cohn, and Sergio Escalera"

+851f3dcfde59313dc2c8b87314f5a191d82194f4,Multiview Graphical Models for Tracking Occluded Objects,"Volume 3, Issue 10, October 2013                                    ISSN: 2277 128X
+International Journal of Advanced Research in
+Computer Science and Software Engineering
+Research Paper
+Available online at: www.ijarcsse.com
+Multiview Graphical Models for Tracking Occluded Objects
+Bharath
+Student,
+Dept.of CSE,
+Jntuk, Kakinada, India
+Smt. D.Neelima
+Asst.Professor,
+Dept.of CSE,
+Jntuk, Kakinada, India"

+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"

+856b8576999517c0cb7d95aef0159432604a8447,Weighted Heterogeneous Learning for Deep Convolutional Neural Network Based Facial Image Analysis,The 19th Meeting on Image Recognition and Understanding

+85955fe6cdf4f9f35fc9eab6cc4fccbb819e68a1,3D Face Reconstruction by Learning from Synthetic Data,"D Face Reconstruction by Learning from Synthetic Data
+Elad Richardson*
+Matan Sela*
+Ron Kimmel
+Department of Computer Science, Technion - Israel Institute of Technology"

+8558ea46c8f7e56c57073b27408c6638e81293f0,Morphable crowds,

+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 ‡"

+851e78906e1307773b664953bf2830f32b28511f,Lie Algebra-Based Kinematic Prior for 3D Human Pose Tracking,"Lie Algebra-Based Kinematic Prior for 3D Human Pose Tracking
+Edgar Simo-Serra, Carme Torras, and Francesc Moreno-Noguer
+Institut de Rob`otica i Inform`atica Industrial (CSIC-UPC). Barcelona, Spain"

+8562ca7f86e7cc144aa2d34a9cce41431b9e13e9,Master Thesis Report: Face Recognition for Cognitive Robots,"Face Recognition for Cognitive
+Robots
+F. Gaisser
+BioMechanical Enginering"

+85401b669a989da15bb3d2b37d4598c21d9d061b,"The effect of intranasal oxytocin versus placebo treatment on the autonomic responses to human sounds in autism: a single-blind, randomized, placebo-controlled, crossover design study","Lin et al. Molecular Autism 2014, 5:20
+http://www.molecularautism.com/content/5/1/20
+Open Access
+R ES EAR CH
+The effect of intranasal oxytocin versus placebo
+treatment on the autonomic responses to human
+sounds in autism: a single-blind, randomized,
+placebo-controlled, crossover design study
+I-Fan Lin1*, Makio Kashino1,2, Haruhisa Ohta3, Takashi Yamada3, Masayuki Tani3, Hiromi Watanabe3, Chieko Kanai3,
+Taisei Ohno3, Yuko Takayama3, Akira Iwanami3 and Nobumasa Kato3,4"

+8575adafc04a7915bd71c3733e379577da0c4406,Sistema tutor afectivo para la enseñanza de lógica algorítmica y programación,"Sistema tutor afectivo para la enseñanza de lógica
+lgorítmica y programación
+Ramón Zatarain-Cabada1, María Lucia Barrón-Estrada1,
+José Mario Ríos-Félix1, Giner Alor-Hernandez2
+Instituto Tecnológico de Culiacán, Culiacán Sinaloa,
+México
+Instituto Tecnológico de Orizaba,
+División de Estudios de Posgrado e Investigación, Orizaba, Veracruz,
+México
+{rzatarain, lbarron,
+Resumen.  La  creciente  demanda  de    herramientas  de  software  que  motiven  y
+poyen  a  los  estudiantes  en  el  aprendizaje  de  diseño  e  implementación  de
+lgoritmos  y  programas,  ha  motivado  la  creación  de  este  tipo  de  sistemas  de
+software.    En  este  artículo  presentamos  un  nuevo  e  innovador  sistema  tutor
+fectivo de lógica algorítmica y programación, basado en la técnica de bloques.
+Nuestro  enfoque  combina  la  interfaz  de  Google  Blockly  con  técnicas  de
+gamificación y ejercicios que son monitoreados para obtener el estado afectivo
+del estudiante. Dependiendo de la emoción manifestada (aburrido, enganchado,
+frustrado y neutral), el sistema evalúa una serie de variables, para determinar si
+el estudiante requiere asistencia. En base a las pruebas preliminares con varios"

+850c5d1f97eee47a1fdaefc0894b52e51a3145fc,Improved Semantic Stixels via Multimodal Sensor Fusion,"Improved Semantic Stixels via
+Multimodal Sensor Fusion
+Florian Piewak(cid:63)1,2, Peter Pinggera1, Markus Enzweiler1,
+David Pfeiffer(cid:63)(cid:63)1, and Marius Z¨ollner2,3
+Daimler AG, R&D, Stuttgart, Germany
+Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
+Forschungszentrum Informatik (FZI), Karlsruhe, Germany"

+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)"""

+8582d5307793643e5b6a5e4354ee1ba32eff3809,Techniques for Face Detection & Recognition System-,"IOSR Journal of Computer Engineering (IOSR-JCE)
+e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 15, Issue 5 (Nov. - Dec. 2013), PP 01-12
+www.iosrjournals.org
+Techniques for Face Detection & Recognition System-
+Comprehensive Review
+Vandana S.Bhat1, Dr. J. D. Pujari2
+Department of Information Science & Engineering, SDMCET, Dharwad, INDIA
+Department of Information Science & Engineering, SDMCET, Dharwad, INDIA"

+853d6cfe9c08c971979d1dd138bb21c25ff750bf,Comparison of MultiView Face Recognition using DCT and Hybrid DWT of Score Fusion under Uncontrolled Illumination Variation,"International Journal of Computer Applications (0975 – 8887)
+Volume 96– No.4, June 20143
+Comparison of Multi-View Face Recognition using DCT
+nd Hybrid DWT of Score Fusion under Uncontrolled
+Illumination Variation
+Manisha J Kasar
+M.Tech Student (CE)
+Computer Department, MPSTME
+NMIMS, Shirpur, Dist :Dhule, Maharashtra,
+India
+Nitin S.Choubey
+P.hd (Computer)
+Computer Department, MPSTME
+NMIMS, Shirpur, Dist :Dhule, Maharashtra,
+India
+is  one  of
+for  matching.  First,"

+853feff8674f4a856e6568c9ddce5eace014de8c,NISTIR 8045 Performance Evaluation Methods for Human Detection and Tracking Systems for Robotic Applications,"NISTIR 8045
+Performance Evaluation Methods for
+Human Detection and Tracking
+Systems for Robotic Applications
+Michael Shneier
+Tsai Hong
+Geraldine Cheok
+Kamel Saidi
+Will Shackleford
+This publication is available free of charge from:
+http://dx.doi.org/10.6028/NIST.IR.8045"

+85489639f395608174f686d634d6e27ef44c9d77,Social ‘wanting’ dysfunction in autism: neurobiological underpinnings and treatment implications,"Kohls et al. Journal of Neurodevelopmental Disorders 2012, 4:10
+http://www.jneurodevdisorders.com/content/4/1/10
+RE VI E W
+Open Access
+Social ‘wanting’ dysfunction in autism:
+neurobiological underpinnings and
+treatment implications
+Gregor Kohls*, Coralie Chevallier, Vanessa Troiani and Robert T Schultz"

+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"

+854890f35fc7955d94777395f6a66da433426d98,Human Gaze Following for Human-Robot Interaction,"Human Gaze Following for Human-Robot Interaction
+Akanksha Saran1, Srinjoy Majumdar2, Elaine Schaertl Short2, Andrea Thomaz2 and Scott Niekum1"

+854f9fb21853d1e50302dddcc1fd5c2e933ed8f4,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"

+8566231abd7e5bc71ee0bc0da84b8d76ce07a501,On The Stability of Video Detection and Tracking,"On The Stability of Video Detection and Tracking
+Hong Zhang
+Chinese University of Hong Kong
+Naiyan Wang
+TuSimple LLC"

+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"

+85c1926ea23ff4f472774fec8c6a993bb499e4f4,Eigenbands fusion for frontal face recognition,"EIGENBANDS FUSION FOR FRONTAL FACE RECOGNITION
+George D. C. Cavalcanti1s2 and Edson C. B. Cawalho Filho’
+’ UFPE-Universidade  Federal de Pemambuco, 50732-970, Recife, PE, Brad
+FIR-Faculdade  Integrada do Recife 50720-635 Recife, PE, Brad"

+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,"

+857fface5ccd0fd4f30d6b1b3d2cd25a2b471501,Head pose estimation via probabilistic high-dimensional regression,"Head Pose Estimation Via Probabilistic
+High-Dimensional Regression
+Vincent Drouard 1 Sil`eye Ba 1 Georgios Evangelidis 1
+Antoine Deleforge 2 Radu Horaud 1
+Team Perception - Inria Grenoble Rhˆone-Alpes, France
+Friedrich-Alexander-Universit¨at, Erlangen, Germany
+September 28, 2015, Qu´ebec, Canada
+Work supported by EU-FP7 ERC Advanced Grant VHIA (#340113) and STREP project EARS (#609645)"

+854dbb4a0048007a49df84e3f56124d387588d99,Spatial-Temporal Recurrent Neural Network for Emotion Recognition,"JOURNAL OF LATEX CLASS FILES, VOL. 13, NO. 9, SEPTEMBER 2014
+Spatial-Temporal Recurrent Neural Network for
+Emotion Recognition
+Tong Zhang, Wenming Zheng*, Member, IEEE, Zhen Cui*, Yuan Zong and Yang Li"

+8569fc88a3d1ac8b873872becb2ee8bc01dc73bc,Deep-Person: Learning Discriminative Deep Features for Person Re-Identification,"Deep-Person: Learning Discriminative Deep Features
+for Person Re-Identification
+Xiang Bai, Mingkun Yang, Tengteng Huang,
+Zhiyong Dou, Rui Yu, Yongchao Xu∗
+School of Electronic Information and Communications, Huazhong University of Science and
+Technology (HUST), Wuhan, 430074, China"

+85387549277d6131dc8596ffacc7a21aeee0c6d1,Attribute Enhanced Face Aging with Wavelet-based Generative Adversarial Networks,"Attribute Enhanced Face Aging with Wavelet-based Generative Adversarial
+Networks
+Yunfan Liu, Qi Li, and Zhenan Sun∗
+Center for Research on Intelligent Perception and Computing, CASIA
+National Laboratory of Pattern Recognition, CASIA
+{qli,"

+85cad2b23e2ed7098841285bae74aafbff921659,Pa-gan: Improving Gan Training by Progressive Augmentation,"Under review as a conference paper at ICLR 2019
+PA-GAN: IMPROVING GAN TRAINING BY
+PROGRESSIVE AUGMENTATION
+Anonymous authors
+Paper under double-blind review"

+1d7df7000a3e8fafa21679db4efe2ffedcfe0335,And the Committee on Graduate Studies of Stanford University in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy,"SEMANTIC IMAGE UNDERSTANDING: FROM THE WEB, IN
+LARGE SCALE, WITH REAL-WORLD CHALLENGING DATA
+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
+Jia Li
+November 2011"

+1d4c2dd3996cb3d87da6c35d72572637d3175ea5,Toward Storytelling From Visual Lifelogging: An Overview,"JOURNAL OF TRANSACTIONS ON HUMAN-MACHINE SYSTEMS JULY 2015
+Towards Storytelling from
+Visual Lifelogging: An Overview
+Marc Bola˜nos∗, Mariella Dimiccoli∗, and Petia Radeva"

+1d5901662dc4fa5be2375f35be07b4116fd450ea,The Effects of Prediction on the Perception for Own-Race and Other-Race Faces,"RESEARCH ARTICLE
+The Effects of Prediction on the Perception
+for Own-Race and Other-Race Faces
+Guangming Ran1,2, Qi Zhang3, Xu Chen1,2*, Yangu Pan1,2
+. Faculty of Psychology, Southwest University (SWU), Chongqing, 400715, China, 2. Research Center of
+Mental Health Education, Southwest University (SWU), Chongqing, 400715, China, 3. School of Education
+Science, Guizhou Normal University (GNU), Guizhou, 550001, China"

+1d524c57214384ad6a003c54b1918130744b69d2,Identifying Human-Object Interactions in Motionless Images by Modeling the Mutual Context of Objects and Human Poses,"International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Impact Factor (2012): 3.358
+Identifying Human-Object Interactions in
+Motionless Images by Modeling the Mutual Context
+of Objects and Human Poses
+A. N. Bhagat1, N. B. Pokale2
+Department of Computer Engineering, TSSM,s Bhivrabai Sawant College Of Engineering and Research, Narhe, Pune, Maharashtra, India.
+Associate Professor, Department of Computer Engineering, TSSM,s Bhivrabai Sawant College Of Engineering and Research, Narhe, Pune,
+Maharashtra, India."

+1dc45403839d6aefe65c6e7f2179d5ea697dfeac,DCT-based features for categorisation of social media in compressed domain,"DCT-based Features for Categorisation of Social
+Media in Compressed Domain
+Sebastian Schmiedeke, Pascal Kelm, Thomas Sikora
+Communication Systems Group
+Technische Universit¨at Berlin
+Germany"

+1d0a6759de0d55d15439b0367f0aa49c1e248c5c,"Networking in Autism: Leveraging Genetic, Biomarker and Model System Findings in the Search for New Treatments","...............................................................................................................................................................
+REVIEW
+Networking in Autism: Leveraging Genetic, Biomarker
+nd Model System Findings in the Search for New
+Treatments
+Jeremy Veenstra-VanderWeele1,2,3,4 and Randy D Blakely*,1,3,4
+Department of Psychiatry, Vanderbilt University School of Medicine, Nashville, TN, USA; 2Department of Pediatrics,
+Vanderbilt University School of Medicine, Nashville, TN, USA; 3Department of Pharmacology, Vanderbilt University School of
+Medicine, Nashville, TN, USA; 4Center for Molecular Neuroscience, Vanderbilt University School of Medicine, Nashville,
+TN, USA
+Autism Spectrum Disorder (ASD) is a common neurodevelopmental disorder affecting approximately 1% of children. ASD is
+defined by core symptoms in two domains: negative symptoms of impairment in social and communication function, and
+positive symptoms of restricted and repetitive behaviors. Available treatments are inadequate for treating both core
+symptoms and associated conditions. Twin studies indicate that ASD susceptibility has a large heritable component. Genetic
+studies have identified promising leads, with converging insights emerging from single-gene disorders that bear ASD
+features, with particular interest in mammalian target of rapamycin (mTOR)-linked synaptic plasticity mechanisms. Mouse
+models of these disorders are revealing not only opportunities to model behavioral perturbations across species, but also
+evidence of postnatal rescue of brain and behavioral phenotypes. An intense search for ASD biomarkers has consistently
+pointed to elevated platelet serotonin (5-HT) levels and a surge in brain growth in the first 2 years of life. Following a review of
+the diversity of ASD phenotypes and its genetic origins and biomarkers, we discuss opportunities for translation of these"

+1d5d68bee741d81771e9224fe53806e85ed469aa,RATM: Recurrent Attentive Tracking Model,"RATM: Recurrent Attentive Tracking Model
+Samira Ebrahimi Kahou, Vincent Michalski, and Roland Memisevic"

+1d03698a46ff12fdfaf4811528b3e7961dfd2fe6,Fast Exact Max-Kernel Search,"Fast Exact Max-kernel Search
+Ryan R. Curtin
+Parikshit Ram
+Alexander G. Gray"

+1d7ecdcb63b20efb68bcc6fd99b1c24aa6508de9,The Hidden Sides of Names&#x2014;Face Modeling with First Name Attributes,"The Hidden Sides of Names—Face Modeling
+with First Name Attributes
+Huizhong Chen, Student Member, IEEE, Andrew C. Gallagher, Senior Member, IEEE, and
+Bernd Girod, Fellow, IEEE"

+1d9497450f60b874eb6ecbf82e3d0808a6fe236c,Nonconvex proximal splitting with computational errors∗,"Nonconvex proximal splitting with computational errors∗
+Suvrit Sra
+Max Planck Institute, T¨ubingen, Germany
+Introduction
+We study in this chapter large-scale nonconvex optimization problems with composite objective functions
+that are composed of a differentiable possibly nonconvex cost and a nonsmooth but convex regularizer.
+More precisely, we consider optimization problems of the form
+minimize Φ(x) := f (x) + r(x),
+where X ⊂ Rn is a compact convex set, f : Rn → R is a differentiable cost function and r : Rn → R is a
+losed convex function. Further, we assume that the gradient ∇ f is Lipschitz continuous on X (denoted
+f ∈ C1
+L(X )), i.e.,
+x ∈ X ,
+∃L > 0 s.t. (cid:107)∇ f (x) − ∇ f (y)(cid:107) ≤ L(cid:107)x − y(cid:107)
+for all
+x, y ∈ X .
+Throughout this chapter, (cid:107)·(cid:107) denotes the standard Euclidean norm.
+Problem (1) generalizes the more thoroughly studied class of composite convex optimization prob-
+lems [30], a class that has witnessed huge interest in machine learning, signal processing, statistics,
+nd other related areas. We refer the interested reader to [2, 3, 21, 37] for several convex examples"

+1df554e992baf60f2d0b7c1b563250ba19b8f8ff,3D Face Recognition Based on 3D Ridge Lines in Range Data,"-4244-1437-7/07/$20.00 ©2007 IEEE
+I - 137
+ICIP 2007"

+1d251acc459931d927f5befdfb5b9cdf643cd8bc,Bayesian Compression for Natural Language Processing,"Bayesian Compression for Natural Language Processing
+Nadezhda Chirkova1∗, Ekaterina Lobacheva1∗, Dmitry Vetrov1,2
+Samsung-HSE Laboratory, National Research University Higher School of Economics
+Samsung AI Center
+Moscow, Russia"

+1dca6a54d201dd56b41a5475aaf498a207083b0e,Ego-surfing first person videos,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
+Ego-Surfing First-Person Videos
+Ryo Yonetani, Member, IEEE, Kris M. Kitani, Member, IEEE, and Yoichi Sato, Member, IEEE"

+1dd3a58ab363cb396bf36223fadc8d2341bfdb83,Picture: A probabilistic programming language for scene perception,"Picture: a probabilistic programming language for scene perception
+Tejas D Kulkarni1, Pushmeet Kohli2, Joshua B Tenenbaum1, Vikash Mansinghka1
+Brain and Cognitive Science, Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology. 2Microsoft Research Cambridge.
+Probabilistic scene understanding systems aim to produce high-probability
+descriptions of scenes conditioned on observed images or videos, typically ei-
+ther via discriminatively trained models or generative models in an “analysis
+y synthesis” framework. Discriminative approaches lend themselves to fast,
+ottom-up inference methods and relatively knowledge-free, data-intensive
+training regimes, and have been remarkably successful on many recognition
+problems. Generative approaches hold out the promise of analyzing complex
+scenes more richly and flexibly, but have been less widely embraced for two
+main reasons: Inference typically depends on slower forms of approximate
+inference, and both model-building and inference can involve considerable
+problem-specific engineering to obtain robust and reliable results. These
+factors make it difficult to develop simple variations on state-of-the-art mod-
+els, to thoroughly explore the many possible combinations of modeling,
+representation, and inference strategies, or to richly integrate complemen-
+tary discriminative and generative modeling approaches to the same problem.
+More generally, to handle increasingly realistic scenes, generative approaches
+will have to scale not just with respect to data size but also with respect to"

+1dc94886ca1d4893208d38b18cb7ad1541a74b82,Weakly Supervised Training of Speaker Identification Models,"Weakly Supervised Training of Speaker Identification Models
+Martin Karu, Tanel Alum¨ae
+Department of Software Science
+Tallinn University of Technology, Estonia"

+1d9bd24e65345258259ee24332141e371c6e4868,Learning Image Descriptors with Boosting,"Learning Image Descriptors with Boosting
+Tomasz Trzcinski, Mario Christoudias, and Vincent Lepetit"

+1d1e78bb93590a86ecfd2516f4e5789cc05d76f5,Local Features and Generative Models,"FACE AUTHENTICATION BASED ON
+LOCAL FEATURES AND
+GENERATIVE MODELS
+Fabien Cardinaux (a)
+IDIAP–RR 05-85
+JANUARY 2006
+ESEARCHREPRORTIDIAPRue du Simplon 4IDIAP Research Institute1920 Martigny − Switzerlandwww.idiap.chTel: +41 27 721 77 11Email: Box 592Fax: +41 27 721 77 12"

+1d692f37c2594ddb30518da27bfc0f5044690d09,Learning Depth From Single Images With Deep Neural Network Embedding Focal Length,"Learning Depth from Single Images with Deep
+Neural Network Embedding Focal Length
+Lei He, Guanghui Wang (Senior Member, IEEE) and Zhanyi Hu"

+1d6905e88f64ac826344d89c51ad8daea3b95e0e,Monocular Object Orientation Estimation using Riemannian Regression and Classification Networks,"Noname manuscript No.
+(will be inserted by the editor)
+Monocular Object Orientation Estimation using
+Riemannian Regression and Classification Networks
+Siddharth Mahendran · Ming Yang Lu · Haider Ali · Ren´e Vidal
+the date of receipt and acceptance should be inserted later"

+1d59ffad091a5bffa5fe935b79f5bfc08d2e802d,Intensity Video Guided 4D Fusion for Improved Highly Dynamic 3D Reconstruction,"Intensity Video Guided 4D Fusion for
+Improved Highly Dynamic 3D Reconstruction
+Jie Zhang, Christos Maniatis, Luis Horna and Robert B. Fisher"

+1d53aebe67d0e088e2da587fd6b08c8e8ed7f45c,A Selection Module for Large-Scale Face Recognition Systems,"A Selection module for large-scale face
+recognition systems
+Giuliano Grossi, Raffaella Lanzarotti, and Jianyi Lin
+Dipartimento di Informatica, Universit`a degli Studi di Milano
+Via Comelico 39/41, Milano, Italy"

+1d4e1b4f37caf40dc70d211c6b2745195dfa6c3f,Facial Expression Recognition Using Interpolation Features,"Facial Expression Recognition Using Interpolation
+Features
+Jesús García-Ramírez, Ivan Olmos-Pineda, J. Arturo Olvera-López, and
+Manuel Martín-Ortíz
+Benemérita Universidad Autónoma de Puebla, Faculty of Computer Science, Puebla, México"

+1df314a1e4dce42fd9fab094b79a0f2a10ad0b03,People Detection in Fish-eye Top-views,

+1dca96fdcab180133644442df4ad78eeec1aa00b,Learning from Synthetic Humans,"Learning from Synthetic Humans
+G¨ul Varol∗†
+Javier Romero‡
+Xavier Martin†
+Naureen Mahmood‡
+Michael Black‡
+Ivan Laptev∗
+Cordelia Schmid†"

+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
+Romain Negrel
+Alexis Lechervy
+Frederic Jurie
+GREYC, CNRS UMR 6072, ENSICAEN
+Université de Caen Basse-Normandie
+France"

+1d4f56a9bb093c52569917537a93c7671db28e6f,Real-time Tracking of Player Identities in Team Sports,"Real-time Tracking of Player
+Identities in Team Sports
+Dissertation
+Nicolai Baron von Hoyningen-Huene"

+1dc4b5e93233fc632b070c8ff282ef0fe9141f64,2-D Structure-Based Gait Recognition in Video Using Incremental GMM-HMM,"-D Structure-Based Gait Recognition in Video
+Using incremental GMM-HMM
+Rui Pu1, Yunhong Wang1
+Laboratory of Intelligence Recognition and Image Processing, Beijing Key
+Laboratory of Digital Media, School of Computer Science and Engineering, Beihang
+University, Beijing 100191, China"

+1d776bfe627f1a051099997114ba04678c45f0f5,Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras,"Deployment of Customized Deep Learning based
+Video Analytics On Surveillance Cameras
+Pratik Dubal(cid:63), Rohan Mahadev(cid:63), Suraj Kothawade(cid:63),
+Kunal Dargan, and Rishabh Iyer
+AitoeLabs (www.aitoelabs.com)"

+1d9306ea0f0239c88aecbcf0a48a11c964a0fcd4,3D facial expression recognition using maximum relevance minimum redundancy geometrical features,"Rabiu et al. EURASIP Journal on Advances in Signal Processing 2012, 2012:213
+http://asp.eurasipjournals.com/content/2012/1/213
+RESEARCH
+Open Access
+D facial expression recognition using
+maximum relevance minimum redundancy
+geometrical features
+Habibu Rabiu*, M. Iqbal Saripan, Syamsiah Mashohor and Mohd Hamiruce Marhaban"

+1da57510321fb8b25dc4d21844fb9afa4e40571e,Activity representation with motion hierarchies,"Int J Comput Vis
+DOI 10.1007/s11263-013-0677-1
+Activity representation with motion hierarchies
+Adrien Gaidon · Zaid Harchaoui · Cordelia Schmid
+Received: 17 May 2013 / Accepted: 20 November 2013
+© Springer Science+Business Media New York 2013"

+1dd3faf5488751c9de10977528ab96be24616138,Detecting Anomalous Faces with 'No Peeking' Autoencoders,"Detecting Anomalous Faces with ‘No Peeking’ Autoencoders
+Anand Bhattad 1 Jason Rock 1 David Forsyth 1"

+1d4e0427dffec6ac75b96a564986046ea2b00980,Eye Controlled Robotic Motion Using Video Tracking In Real Time,"ISSN(Online): 2319-8753
+ISSN (Print):  2347-6710
+International Journal of Innovative Research in Science,
+Engineering and Technology
+(An ISO 3297: 2007 Certified Organization)
+Website: www.ijirset.com
+Vol. 6, Issue 7, July 2017
+Eye Controlled Robotic Motion Using Video
+Tracking In Real Time
+Kriti Bhattacharjee 1, Dr. Manoj Soni 2
+P.G. Student, Department of Mechanical and Automation Engineering, IGDTUW, New Delhi, India1
+Associate Professor, Department of Mechanical and Automation Engineering, IGDTUW, New Delhi, India2"

+1d1f83023686d43fd4e8805c8e517dffb02d118c,Compiler Enhanced Scheduling for OpenMP for Heterogeneous Multiprocessors,"Compiler Enhanced Scheduling for OpenMP for
+Heterogeneous Multiprocessors
+Jyothi Krishna V S
+IIT Madras"

+1d81293bc17a135cfd35912146c538cd81830381,Single camera multi-person tracking based on crowd simulation,"1st International Conference on Pattern Recognition (ICPR 2012)
+November 11-15, 2012. Tsukuba, Japan
+978-4-9906441-1-6 ©2012 IAPR"

+1dff919e51c262c22630955972968f38ba385d8a,Toward an Affect-Sensitive Multimodal Human–Computer Interaction,"Toward an Affect-Sensitive Multimodal
+Human–Computer Interaction
+MAJA PANTIC, MEMBER, IEEE, AND LEON J. M. ROTHKRANTZ
+Invited Paper
+The ability to recognize affective states of a person we are com-
+municating with is the core of emotional intelligence. Emotional
+intelligenceisa facet of human intelligence thathas been argued to be
+indispensable and perhaps the most important for successful inter-
+personal social interaction. This paper argues that next-generation
+human–computer interaction (HCI) designs need to include the
+essence of emotional intelligence—the ability to recognize a user’s
+ffective states—in order to become more human-like, more effec-
+tive, and more efficient. Affective arousal modulates all nonverbal
+ommunicative cues (facial expressions, body movements, and vocal
+nd physiological reactions). In a face-to-face interaction, humans
+detect and interpret those interactive signals of their communicator
+with little or no effort. Yet design and development of an automated
+system that accomplishes these tasks is rather difficult. This paper
+surveys the past work in solving these problems by a computer
+nd provides a set of recommendations for developing the first"

+1de8f38c35f14a27831130060810cf9471a62b45,A Branch-and-Bound Framework for Unsupervised Common Event Discovery,"Int J Comput Vis
+DOI 10.1007/s11263-017-0989-7
+A Branch-and-Bound Framework for Unsupervised Common
+Event Discovery
+Wen-Sheng Chu1
+Jeffrey F. Cohn1,2 · Daniel S. Messinger3
+· Fernando De la Torre1 ·
+Received: 3 June 2016 / Accepted: 12 January 2017
+© Springer Science+Business Media New York 2017"

+1d2af64416882b2ae8fe4de51b85fdd7d561cfee,Headgear Accessories Classification Using an Overhead Depth Sensor,"Article
+Headgear Accessories Classification Using an
+Overhead Depth Sensor
+Carlos A. Luna, Javier Macias-Guarasa ID , Cristina Losada-Gutierrez * ID , Marta Marron-Romera,
+Manuel Mazo, Sara Luengo-Sanchez and Roberto Macho-Pedroso
+Department of Electronics, University of Alcala, Ctra. Madrid-Barcelona, km.33,600, 28805 Alcalá de Henares,
+Spain; (C.A.L.); (J.M.-G.); (M.M.-R.);
+(M.M.); (S.L.-S.); (R.M.-P.)
+* Correspondence: Tel.: +34-918-856-906; Fax: +34-918-856-591
+Received: 22 June 2017; Accepted: 8 August 2017; Published: 10 August 2017"

+1dc07322715e093c560b30fdf1e168e58e9a9409,DRBF and IRBF Based Face Recognition and Extraction of Facial Expressions from the Blur Image,"Australian Journal of Basic and Applied Sciences, 8(3) March 2014, Pages: 61-68
+AENSI Journals
+Australian Journal of Basic and Applied Sciences
+ISSN:1991-8178
+Journal home page: www.ajbasweb.com
+DRBF and IRBF Based Face Recognition and Extraction of Facial Expressions from the
+Blur Image
+M. Jayashree, 2Dr. D. Deepa, 3M. Rubhashree
+PG Scholar, Department of Information Technology, Bannari Amman Institute of Technology, Sathyamangalam, TamilNadu, India.
+2Associate  Professor,  Department  of  Information  Technology,  Bannari  Amman  Institute  of  Technology,  Sathyamangalam,  TamilNadu,
+India.
+Assistant  Professor,  Department  of  Computer  Science  and  Engineering,  Bannari  Amman  Institute  of  Technology,  Sathyamangalam,
+TamilNadu, India.
+A R T I C L E   I N F O
+Article history:
+Received  12  January  2014
+Received in revised form 22
+March 2014
+Accepted 27 March  2014
+Available online 2 April 2014"

+1da83903c8d476c64c14d6851c85060411830129,Iterated Support Vector Machines for Distance Metric Learning,"Iterated Support Vector Machines for Distance
+Metric Learning
+Wangmeng Zuo, Member, IEEE, Faqiang Wang, David Zhang, Fellow, IEEE, Liang Lin, Member, IEEE,
+Yuchi Huang, Member, IEEE, Deyu Meng, and Lei Zhang, Senior Member, IEEE"

+1d93a1af770040cb8a64e96215884ee363a8f53a,Improved face recognition at a distance using light field camera & super resolution schemes,"Improved Face Recognition At A Distance Using Light
+Field Camera & Super Resolution Schemes
+R. Raghavendra* Kiran B. Raja*† Bian Yang* Christoph Busch*†
+{raghavendra.ramachandra, kiran.raja, bian.yang,
+*Norwegian Biometrics Laboratory
+Hochschule Darmstadt - CASED
+Gjøvik University College
+802 Gjøvik, Norway
+Haardtring 100,
+64295 Darmstadt, Germany"

+1d5fe82303712a70c1d231ead2ee03f042d8ad70,ImageNet pre-trained models with batch normalization,"ImageNet pre-trained models with batch normalization
+Marcel Simon, Erik Rodner, Joachim Denzler
+Computer Vision Group
+Friedrich-Schiller-Universit¨at Jena, Germany
+{marcel.simon, erik.rodner,"

+1d455f918062f66e86ed53cf258284abd6abd8fc,SMSnet: Semantic motion segmentation using deep convolutional neural networks,"SMSnet: Semantic Motion Segmentation
+using Deep Convolutional Neural Networks
+Johan Vertens∗
+Abhinav Valada∗
+Wolfram Burgard"

+1d99282d00f7cf3e4d912428313848add8de8220,Comparing Attribute Classifiers for Interactive Language Grounding,"Proceedings of the 2015 Workshop on Vision and Language (VL’15), pages 60–69,
+Lisbon, Portugal, 18 September 2015. c(cid:13)2015 Association for Computational Linguistics."

+1d58d83ee4f57351b6f3624ac7e727c944c0eb8d,Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions,"Enhanced Local Texture
+Feature Sets for Face
+Recognition under Difficult
+Lighting Conditions
+Xiaoyang Tan and Bill Triggs
+INRIA & Laboratoire Jean
+Kuntzmann,
+655 avenue de l'Europe, Montbonnot 38330, France"

+1d679b371c9dfd833cee0925de483562d2bc7d88,Face Recognition using 3D Summation Invariant Features,"­4244­0367­7/06/$20.00 ©2006 IEEE
+ICME 2006"

+1d729693a888a460ee855040f62bdde39ae273af,Photorealistic Face De-Identification by Aggregating Donors' Face Components,"Photorealistic Face de-Identification by Aggregating
+Donors’ Face Components
+Saleh Mosaddegh, Lo¨ıc Simon, Fr´ed´eric Jurie
+To cite this version:
+Saleh Mosaddegh, Lo¨ıc Simon, Fr´ed´eric Jurie. Photorealistic Face de-Identification by Aggre-
+gating Donors’ Face Components. Asian Conference on Computer Vision, Nov 2014, Singapore.
+pp.1-16, 2014. <hal-01070658>
+HAL Id: hal-01070658
+https://hal.archives-ouvertes.fr/hal-01070658
+Submitted on 2 Oct 2014
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+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"

+1d4c25f9f8f08f5a756d6f472778ab54a7e6129d,An Innovative Mean Approach for Plastic Surgery Face Recognition,"International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Index Copernicus Value (2014): 6.14 | Impact Factor (2014): 4.438
+An Innovative Mean Approach for Plastic Surgery
+Face Recognition
+Mahendra P. Randive1, Umesh W. Hore2
+Student of M.E., Department of Electronics & Telecommunication Engineering,
+P. R. Patil College of Engineering, Amravati Maharashtra – India
+Assistant Professor, Department of Electronics & Telecommunication Engineering,
+P. R. Patil College of Engineering, Amravati Maharashtra – India"

+714794c74941e45798d9c405a4fec1138cff2df3,Iris Segmentation: State of the Art and Innovative Methods,"Iris segmentation: state of the art and innovative
+methods
+Ruggero Donida Labati, Angelo Genovese, Vincenzo Piuri, and Fabio Scotti"

+71ab53b0b3635411d5985f71cc56bb1784023834,RoboCupRescue 2012 - Robot League Team,"RoboCupRescue 2012 - Robot League Team
+Hector Darmstadt (Germany)
+Thorsten Graber2, Stefan Kohlbrecher1, Johannes Meyer2, Karen Petersen1,
+Oskar von Stryk1, Uwe Klingauf2(cid:63)
+Department of Computer Science (1) and Department of Mechanical Engineering (2),
+Technische Universit¨at Darmstadt,
+Karolinenplatz 5, D-64289 Darmstadt, Germany
+E-Mail:
+Web: www.gkmm.tu-darmstadt.de/rescue"

+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"

+713345804a00c6c0083e4155b904956bb95949da,Scalable Normalized Cut with Improved Spectral Rotation,Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)

+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"

+712609494dd049b44ebfd82698b9305ef07f027b,Biometric bits extraction through phase quantization based on feature level fusion,"Telecommun Syst (2011) 47:255–273
+DOI 10.1007/s11235-010-9317-z
+Biometric bits extraction through phase quantization based
+on feature level fusion
+Hyunggu Lee · Andrew Beng Jin Teoh · Jaihie Kim
+Published online: 4 June 2010
+© Springer Science+Business Media, LLC 2010"

+71dcf25a3ea3801f09d6cc446dbf78e22481d609,Face recognition with the continuous n-tuple classifier,"FaceRecognitionwiththecontinuous
+n-tupleclassi(cid:12)er
+S.M.Lucas
+DepartmentofElectronicSystemsEngineering
+UniversityofEssex
+ColchesterCOSQ,UK"

+7174e77f8e26aef3105996512b787b336320d46f,People Counting in High Density Crowds from Still Images,"People Counting in High Density Crowds from Still
+Images
+Ankan Bansal, and K S Venkatesh"

+71f1e72670e676b6902cce0d6fc0b4f63b46ca28,Survey paper: Face Detection and Face Recognition,"Survey paper:
+Face Detection and Face Recognition
+By Hyun Hoi James Kim
+. Introduction
+Face recognition is one of biometric methods identifying individuals by the features of face. Research in this
+rea has been conducted for more than 30 years; as a result, the current status of face recognition technology
+is  well  advanced.  Many  commercial  applications  of  face  recognition  are  also  available  such  as  criminal
+identification, security system, image and film processing.
+From the sequence of images captured by camera, the goal is to find best match with given image. Using a
+pre-stored  image  database,  the  face  recognition  system  should  be  able  to  identify  or  verify  one  or  more
+persons in the scene. Before face recognition is performed, the system should determine whether or not there
+is a face in a given image or given video, a sequence of images. This process is called face detection. Once a
+face is detected, face region should be isolated from the scene for the face recognition. The face detection and
+face extraction are often performed simultaneously. The overall process is depicted in Fig 1.
+Identification
+or Verification
+Feature Extraction
+Face Detection
+Face Recognition
+Input"

+71f969fdc6990b21536c5662c52110d7fdb29028,Driver Gaze Tracking and Eyes Off the Road Detection System Using a Depth Camera,"X Encontro de Alunos e Docentes do DCA/FEEC/UNICAMP (EADCA)
+X DCA/FEEC/University of Campinas (UNICAMP) Workshop (EADCA)
+Campinas, 26 e 27 de outubro de 2017
+Campinas, Brazil, October 26-27, 2017
+Driver Gaze Tracking and Eyes Off the Road Detection System
+Using a Depth Camera
+Ribeiro, Rafael F. , Costa, P. D. P (Orientador)
+Dept. of Computer Engineering and Industrial Automation (DCA)
+School of Electrical and Computer Engineering (FEEC)
+University of Campinas (Unicamp)
+Postal Code 6101, 13083-970 – Campinas, SP, Brazil"

+71c549df77b0fc2ebe0dc20d39d0a629a563bd7a,Texture Classification based on Local Features Using Dual Neighborhood Approach,"I.J. Image, Graphics and Signal Processing, 2017, 9, 59-67
+Published Online September 2017 in MECS (http://www.mecs-press.org/)
+DOI: 10.5815/ijigsp.2017.09.07
+Texture Classification based on Local Features
+Using Dual Neighborhood Approach
+Associate Professor, Dept. of C.S.E, Sri Vasavi Institute of Engineering & Technology, pedana, Andhrapradesh, India
+M. Srinivasa Rao
+Email:
+V.Vijaya Kumar
+Professor, Anurag Group of Institutions (Autonomous), Hyderabad,Telanagana, India
+Email:
+MHM KrishnaPrasad
+Professor of the Department of Computer Science and Engineering, University College of  Engineering, Kakinada
+(Autonomous), JNTUK, Andhra Pradesh, India
+Email:
+Received: 11 March 2017; Accepted: 05 July 2017; Published: 08 September 2017"

+71406b7358812400d0626e8d62e7eb38cea99bbe,On Improving Face Detection Performance by Modelling Contextual Information,"ON IMPROVING FACE DETECTION
+PERFORMANCE BY MODELLING
+CONTEXTUAL INFORMATION
+Cosmin Atanasoaei        Chris McCool
+Sébastien Marcel
+Idiap-RR-43-2010
+DECEMBER 2010
+Centre du Parc, Rue Marconi 19, P.O. Box 592, CH - 1920 Martigny
+T +41 27 721 77 11  F +41 27 721 77 12   www.idiap.ch"

+71403805e67eeb6ec336e0cb83646fdb7c819757,Visual Strategies for Sparse Spike Coding,"Visual Strategies for Sparse Spike Coding
+Laurent Perrinet
+Manuel Samuelides
+ONERA/DTIM,
+, av. Belin,
+1055 Toulouse, France"

+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"

+710ce8cf25f31df8547b888519b414187e989257,Amygdala activation predicts gaze toward fearful eyes.,"The Journal of Neuroscience, July 15, 2009 • 29(28):9123–9126 • 9123
+Brief Communications
+Amygdala Activation Predicts Gaze toward Fearful Eyes
+Matthias Gamer and Christian Bu¨chel
+Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany
+The human amygdala can be robustly activated by presenting fearful faces, and it has been speculated that this activation has functional
+relevance for redirecting the gaze toward the eye region. To clarify this relationship between amygdala activation and gaze-orienting behavior,
+functional magnetic resonance imaging data and eye movements were simultaneously acquired in the current study during the evaluation of
+facial expressions. Fearful, angry, happy, and neutral faces were briefly presented to healthy volunteers in an event-related manner. We con-
+trolled for the initial fixation by unpredictably shifting the faces downward or upward on each trial, such that the eyes or the mouth were
+presentedatfixation.Acrossemotionalexpressions,participantsshowedabiastoshifttheirgazetowardtheeyes,butthemagnitudeofthiseffect
+followed the distribution of diagnostically relevant regions in the face. Amygdala activity was specifically enhanced for fearful faces with the
+mouth aligned to fixation, and this differential activation predicted gazing behavior preferentially targeting the eye region. These results reveal
+direct role of the amygdala in reflexive gaze initiation toward fearfully widened eyes. They mirror deficits observed in patients with amygdala
+lesions and open a window for future studies on patients with autism spectrum disorder, in which deficits in emotion recognition, probably
+related to atypical gaze patterns and abnormal amygdala activation, have been observed.
+Introduction
+The human amygdala is known to be robustly activated by the
+presentation of fearful faces (Morris et al., 1996; Hariri et al.,
+002; Gla¨scher et al., 2004; Reinders et al., 2005), which seems to"

+7128f1239cbd1007ef19d8fd8cdab083d33a6984,"Aligned to the Object, not to the Image: A Unified Pose-aligned Representation for Fine-grained Recognition","Aligned to the Object, not to the Image:
+A Unified Pose-aligned Representation for Fine-grained Recognition
+Pei Guo, Ryan Farrell
+Computer Science Department
+Brigham Young University"

+710011644006c18291ad512456b7580095d628a2,Learning Residual Images for Face Attribute Manipulation,"Learning Residual Images for Face Attribute Manipulation
+Wei Shen
+Rujie Liu
+Fujitsu Research & Development Center, Beijing, China.
+{shenwei,"

+71529e3e51f2967e338124652e93a3d34eb6c5e1,Deep triplet-group network by exploiting symmetric and asymmetric information for person reidentification,"Downloaded From: https://www.spiedigitallibrary.org/journals/Journal-of-Electronic-Imaging on 9/6/2018
+Terms of Use: https://www.spiedigitallibrary.org/terms-of-use
+Deeptriplet-groupnetworkbyexploitingsymmetricandasymmetricinformationforpersonreidentificationBenzhiYuNingXuBenzhiYu,NingXu,“Deeptriplet-groupnetworkbyexploitingsymmetricandasymmetricinformationforpersonreidentification,”J.Electron.Imaging27(3),033033(2018),doi:10.1117/1.JEI.27.3.033033."

+714947e4d7f79f753c5c44eac701185e37086276,An Exponential Representation in the API Algorithm for Hidden Markov Models Training,"An Exponential Representation in the API
+Algorithm for Hidden Markov Models Training
+S´ebastien Aupetit1, Nicolas Monmarch´e1, Mohamed Slimane1, and
+Pierre Liardet2
+Universit´e Fran¸cois-Rabelais de Tours, Laboratoire d’Informatique
+Polytech’Tours, 64, Av Jean Portalis, 37200 Tours, France
+Universit´e de Provence, CMI
+Laboratoire ATP, UMR-CNRS 6632
+9 rue F. Joliot-Curie, 13453 Marseille cedex 13, France"

+71f98c3f7a5b02ab193110d5ae9f9d48a1c5ec38,Deep Human Parsing with Active Template Regression,"Deep Human Parsing with Active Template
+Regression
+Xiaodan Liang, Si Liu, Xiaohui Shen, Jianchao Yang, Luoqi Liu, Jian Dong, Liang Lin, Shuicheng
+Yan, Senior Member, IEEE"

+71286a2b3d564daf171cdef54ff8972159152729,Combinatorial Resampling Particle Filter: An Effective and Efficient Method for Articulated Object Tracking,"Noname manuscript No.
+(will be inserted by the editor)
+Combinatorial Resampling Particle Filter: an Effective and Efficient
+Method for Articulated Object Tracking
+Christophe Gonzales · S´everine Dubuisson
+Received: date / Accepted: date"

+71d3ed17c0642234a921bb45fcadd86520794941,Learning by Tracking: Siamese CNN for Robust Target Association,"Learning by tracking: Siamese CNN for robust target association
+Laura Leal-Taix´e
+TU M¨unchen
+Munich, Germany
+Cristian Canton-Ferrer
+Microsoft
+Redmond (WA), USA
+Konrad Schindler
+ETH Zurich
+Zurich, Switzerland"

+71766bf224d5c74a0be6996b38d8885c2eed5a2c,Fooling Vision and Language Models Despite Localization and Attention Mechanism,

+71d8fae870ea78a89e231247afb3259267e09799,Probabilistic multi-class segmentation for the Amazon Picking Challenge,"Probabilistic Multi-Class Segmentation
+for the Amazon Picking Challenge
+Rico Jonschkowski
+Clemens Eppner∗
+Sebastian H¨ofer∗
+Roberto Mart´ın-Mart´ın∗ Oliver Brock"

+71dcbca34d71bda0bc41c33c04d2c1a740274feb,An Innovative Mean Approach for Plastic Surgery Face Recognition,"International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Index Copernicus Value (2014): 6.14 | Impact Factor (2014): 4.438
+An Innovative Mean Approach for Plastic Surgery
+Face Recognition
+Mahendra P. Randive1, Umesh W. Hore2
+Student of M.E., Department of Electronics & Telecommunication Engineering,
+P. R. Patil College of Engineering, Amravati Maharashtra – India
+Assistant Professor, Department of Electronics & Telecommunication Engineering,
+P. R. Patil College of Engineering, Amravati Maharashtra – India"

+7189d5584416ef2a39d6ab16929dfecdddc10081,A Review of Face Sketch Recognition Systems,"Journal of Theoretical and Applied Information Technology
+20th November 2015. Vol.81. No.2
+© 2005 - 2015 JATIT & LLS. All rights reserved.
+ISSN: 1992-8645                                                       www.jatit.org                                                          E-ISSN: 1817-3195
+A REVIEW OF FACE SKETCH RECOGNITION SYSTEMS
+SALAH EDDINE LAHLALI,  2ABDELALIM SADIQ, 3 SAMIR MBARKI
+23Department of Computing, Faculty of sciences, IbnTofail University, Kenitra, Morocco
+E-mail:"

+711bb5f63139ee7a9b9aef21533f959671a7d80e,Objects extraction and recognition for camera-based interaction : heuristic and statistical approaches,"Helsinki University of Technology Laboratory of Computational Engineering Publications
+Teknillisen korkeakoulun Laskennallisen tekniikan laboratorion julkaisuja
+Espoo 2007
+REPORT B68
+OBJECTS EXTRACTION AND RECOGNITION FOR
+CAMERA-BASED INTERACTION: HEURISTIC AND
+STATISTICAL APPROACHES
+Hao Wang
+TEKNILLINEN KORKEAKOULU
+TEKNILLINEN KORKEAKOULU
+TEKNISKA HÖGSKOLAN
+TEKNISKA HÖGSKOLAN
+HELSINKI UNIVERSITY OF TECHNOLOGY
+HELSINKI UNIVERSITY OF TECHNOLOGY
+TECHNISCHE UNIVERSITÄT HELSINKI
+TECHNISCHE UNIVERSITÄT HELSINKI
+UNIVERSITE DE TECHNOLOGIE D'HELSINKI
+UNIVERSITE DE TECHNOLOGIE D'HELSINKI"

+7173871866fc7e555e9123d1d7133d20577054e8,Simultaneous Adversarial Training - Learn from Others Mistakes,"Simultaneous Adversarial Training - Learn from
+Others’ Mistakes
+Zukang Liao
+Lite-On Singapore Pte. Ltd, 2Imperial College London"

+71edcfe5e3a4e1678698a0659a7e51555291d242,Who's that Actor? Automatic Labelling of Actors in TV Series Starting from IMDB Images,"Who’s that Actor? Automatic Labelling of
+Actors in TV series starting from IMDB Images
+Rahaf Aljundi(cid:63), Punarjay Chakravarty(cid:63) and Tinne Tuytelaars
+KU Leuven, ESAT-PSI, iMinds, Belgium"

+715216a92c338a3c35319026d38ed0da0c57d013,Integrated Pedestrian and Direction Classification Using a Random Decision Forest,"Integrated Pedestrian and Direction Classification
+using a Random Decision Forest
+Junli Tao and Reinhard Klette
+University of Auckland, Auckland, New Zealand"

+711801297f23df9ac8ca1c2d3c9d7dfa2ed12043,Enhancing Energy Efficiency of Multimedia Applications in Heterogeneous Mobile Multi-Core Processors,"Contention-Aware Fair Scheduling for
+Asymmetric Single-ISA Multicore Systems
+Adrian Garcia-Garcia , Juan Carlos Saez , and Manuel Prieto-Matias"

+76ec5c774bb3fd04f9e68864a411286536a544c5,Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models,"LATENT CONSTRAINTS:
+LEARNING TO GENERATE CONDITIONALLY FROM
+UNCONDITIONAL GENERATIVE MODELS
+Jesse Engel
+Google Brain
+San Francisco, CA, USA
+Matthew D. Hoffman
+Google Inc.
+San Francisco, CA, USA
+Adam Roberts
+Google Brain
+San Francisco, CA, USA"

+7608953ef5c7a882bd2e7e7053a600e543748233,Robust 3D Face Recognition by Local Shape Difference Boosting,"Robust 3D Face Recognition
+y Local Shape Difference Boosting
+Yueming Wang, Jianzhuang Liu, Senior Member, IEEE, and Xiaoou Tang, Fellow, IEEE"

+76ff6a68d7a8dcc12b6ba68e914294f6720a466d,The red one!: On learning to refer to things based on discriminative properties,"Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, pages 213–218,
+Berlin, Germany, August 7-12, 2016. c(cid:13)2016 Association for Computational Linguistics"

+76fd801981fd69ff1b18319c450cb80c4bc78959,Alignment of Eye Movements and Spoken Language for Semantic Image Understanding,"Proceedings of the 11th International Conference on Computational Semantics, pages 76–81,
+London, UK, April 15-17 2015. c(cid:13)2015 Association for Computational Linguistics"

+76dc11b2f141314343d1601635f721fdeef86fdb,Weighted Decoding ECOC for Facial Action Unit Classification,"Weighted Decoding ECOC for Facial
+Action Unit Classification
+Terry Windeatt"

+76673de6d81bedd6b6be68953858c5f1aa467e61,Discovering a Lexicon of Parts and Attributes,"Discovering a Lexicon of Parts and Attributes
+Subhransu Maji
+Toyota Technological Institute at Chicago,
+Chicago, IL 60637, USA"

+76f73c884e4437a22afcba60193bbd7f35e64aaf,Title of dissertation : RESOURCE ALLOCATION IN COMPUTER VISION,

+768cb0e32de3f1b5aebe04448aaec4c25586680c,Boosting Image Captioning with Attributes,"Under review as a conference paper at ICLR 2017
+BOOSTING IMAGE CAPTIONING WITH ATTRIBUTES
+Ting Yao, Yingwei Pan, Yehao Li, Zhaofan Qiu, Tao Mei
+Microsoft Research Asia
+{tiyao, v-yipan, v-yehl, v-zhqiu,"

+76cd5e43df44e389483f23cb578a9015d1483d70,Face Verification from Depth using Privileged Information,"BORGHI ET AL.: FACE VERIFICATION FROM DEPTH
+Face Verification from Depth using
+Privileged Information
+Department of Engineering
+""Enzo Ferrari""
+University of Modena and Reggio
+Emilia
+Modena, Italy
+Guido Borghi
+Stefano Pini
+Filippo Grazioli
+Roberto Vezzani
+Rita Cucchiara"

+76b2732a8684babdfd95c655b2e1a1b79c3aeb9b,Face detection from few training examples,"978-1-4244-1764-3/08/$25.00 ©2008 IEEE
+ICIP 2008
+Authorized licensed use limited to: UNSW Library. Downloaded on June 12, 2009 at 01:20 from IEEE Xplore.  Restrictions apply."

+76c018c6dfc81f61c3912c5ed442d9a72f64e467,Graphical Processing Unit Assisted Image Processing for Accelerated Eye Tracking,"Graphical Processing Unit Assisted Image Processing for
+Accelerated Eye Tracking
+Dissertation submitted by
+Jean-Pierre Louis du Plessis
+Student Number: 2006033415
+to the
+Department of Computer Science and Informatics
+Faculty of Natural and Agricultural Sciences
+University of the Free State, South Africa
+Submitted in fulfilment of the requirements of the degree
+Magister Scientiae
+February 2015
+Study Leader: Prof P.J. Blignaut"

+76b11c281ac47fe6d95e124673a408ee9eb568e3,Real-time Multi View Face Detection and Pose Estimation Aishwarya,"International Journal of Latest Engineering and Management Research (IJLEMR)
+ISSN: 2455-4847
+www.ijlemr.com || Volume 02 - Issue 03 || March 2017 || PP. 59-71
+REAL-TIME MULTI VIEW FACE DETECTION AND POSE
+ESTIMATION
+AISHWARYA.S1 , RATHNAPRIYA.K1, SUKANYA SARGUNAR.V2
+U. G STUDENTS, DEPT OF CSE, ALPHA COLLEGE OF ENGINEERING, CHENNAI,
+ASST PROF.DEPARTMENT OF CSE, ALPHA COLLEGE OF ENGINEERING, CHENNAI"

+76bfa74a6311db5d84bad2a7a941f30dd750d01c,Evidence That Emotion Mediates Social Attention in Rhesus Macaques,"Evidence That Emotion Mediates Social Attention in
+Rhesus Macaques
+Emily J. Bethell1*, Amanda Holmes2, Ann MacLarnon1, Stuart Semple1
+Centre for Research in Evolutionary and Environmental Anthropology, University of Roehampton, London, United Kingdom, 2 Department of Psychology, University of
+Roehampton, London, United Kingdom"

+7689d23a22682c92bdf9a1df975fa2cdd24f1b87,MMD with Kernel Learning In practice we use finite samples from distributions to estimate,"MMD GAN: Towards Deeper Understanding of Moment Matching
+Network
+Chun-Liang Li
+Committee: Barnab´as P´oczos and Pradeep Ravikumar
+Tuesday 28th November, 2017"

+76ebe6d24ee69e3f853740fb75085a2118d40d51,ILLUMINANCE FLOW ( met een samenvatting in het Nederlands ) PROEFSCHRIFT ter verkrijging van de graad van doctor,"ILLUMINANCE FLOW
+(met een samenvatting in het Nederlands)
+PROEFSCHRIFT
+ter verkrijging van de graad van doctor aan de Universiteit Utrecht op
+gezag van de rector magnificus, prof.dr. J.C. Stoof, ingevolge het besluit
+van het college voor promoties
+in het openbaar te verdedigen op vrijdag 15 januari 2010
+des middags te 4.15 uur
+(Dan) Stefan Mikael Karlsson
+geboren op 3 september 1978 te Stafsinge, Zweden"

+76f3450e50c20fca00dd6319df38503c5d7ebad0,THÈSE DE DOCTORAT présentée par OLIVIER DUCHENNE pour obtenir le grade de DOCTEUR DE L ’ ÉCOLE NORMALE SUPÉRIEURE,"THÈSEDEDOCTORATprésentéeparOLIVIERDUCHENNEpourobtenirlegradedeDOCTEURDEL’ÉCOLENORMALESUPÉRIEUREDomaine:MATHÉMATIQUESAPPLIQUÉESSujetdelathèse:Alignementélastiqued’imagespourlareconnaissanced’objet—Non-rigidimagealignmentforobjectrecognitionThèseprésentéeetsoutenueàl’ENSUlmle29Novembre2012devantlejurycomposéde:JeanPonceProfesseur,DirecteurduDI,ENSUlmDirecteurdethèsePedroFelzenszwalbProfesseur,BrownUniversityRapporteurMartialHebertProfesseur,CarnegieMellonUniversityRapporteurFrancisBachDirecteurderecherche,ENSUlmÉxaminateurJitendraMalikProfesseur,UniversityofBerkeleyÉxaminateurCordeliaSchmidProfesseur,INPGrenobleÉxaminateurAndrewZissermanProfesseur,UniversityofOxfordÉxaminateurThèsepréparéeauseindel’équipeWILLOWdudépartementd’informatiquedel’ÉcoleNormaleSupérieure,Ulm.(INRIA/ENS/CNRSUMR8548)."

+76d9f5623d3a478677d3f519c6e061813e58e833,Fast Algorithms for the Generalized Foley-Sammon Discriminant Analysis,"FAST ALGORITHMS FOR THE GENERALIZED FOLEY-SAMMON
+DISCRIMINANT ANALYSIS
+LEI-HONG ZHANG∗, LI-ZHI LIAO† , AND MICHAEL K. NG‡"

+76e2d7621019bd45a5851740bd2742afdcf62837,Real-Time Detection and Measurement of Eye Features from Color Images,"Article
+Real-Time Detection and Measurement of Eye
+Features from Color Images
+Diana Borza 1, Adrian Sergiu Darabant 2 and Radu Danescu 1,*
+Computer Science Department, Technical University of Cluj Napoca, 28 Memorandumului Street,
+Cluj Napoca 400114, Romania;
+Computer Science Department, Babes Bolyai University, 58-60 Teodor Mihali, C333, Cluj Napoca 400591,
+Romania;
+* Correspondence: Tel.: +40-740-502-223
+Academic Editors: Changzhi Li, Roberto Gómez-García and José-María Muñoz-Ferreras
+Received: 28 April 2016; Accepted: 14 July 2016; Published: 16 July 2016"

+765b2cb322646c52e20417c3b44b81f89860ff71,PoseShop: Human Image Database Construction and Personalized Content Synthesis,"PoseShop: Human Image Database
+Construction and Personalized
+Content Synthesis
+Tao Chen, Ping Tan, Member, IEEE, Li-Qian Ma, Ming-Ming Cheng, Member, IEEE,
+Ariel Shamir, and Shi-Min Hu, Member, IEEE"

+763158cef9d1e4041f24fce4cf9d6a3b7a7f08ff,Hierarchical Modeling and Applications to Recognition Tasks,"Hierarchical Modeling and
+Applications to Recognition Tasks
+Thesis submitted for the degree of
+”Doctor of Philosophy”
+Alon Zweig
+Submitted to the Senate of the Hebrew University
+August / 2013"

+7606a74de57f67257c77a8bb0295ff4593566040,Content-based Image Retrieval Using Constrained Independent Component Analysis : Facial Image Retrieval Based on Compound Queries,"We are IntechOpen,
+the world’s leading publisher of
+Open Access books
+Built by scientists, for scientists
+,800
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+Countries delivered to
+TOP 1%
+2.2%
+most cited scientists
+Contributors from top 500 universities
+Selection of our books indexed in the Book Citation Index
+in Web of Science™ Core Collection (BKCI)
+Interested in publishing with us?
+Contact
+Numbers displayed above are based on latest data collected."

+76cb2ecc96f02b1d8a7a0d1681fbb55367a4b765,Learning Object States from Videos,"Learning Object States from Videos
+Liang-Kang Huang
+Katerina Fragkiadaki"

+7671234c3726fda01b2842f85327624f0dda8ead,The data deluge: Challenges and opportunities of unlimited data in statistical signal processing,"978-1-4244-2354-5/09/$25.00 ©2009 IEEE
+ICASSP 2009"

+760ba44792a383acd9ca8bef45765d11c55b48d4,Class-specific classifier: avoiding the curse of dimensionality,"INTRODUCTION AND BACKGROUND
+The purpose of this article is to introduce the
+reader to the basic principles of  classification with
+lass-specific features. It is written both for readers
+interested in only the basic concepts as well as those
+interested in getting started in applying the method.
+For in-depth coverage, the reader is referred to a more
+detailed article [l].
+Class-Specific Classifier:
+Avoiding the Curse of
+Dimensionality
+PAUL M. BAGGENSTOSS, Member. lEEE
+US. Naval Undersea Warfare Center
+This article describes a new probabilistic method called the
+“class-specific method” (CSM). CSM has the potential to avoid
+the “curse of dimensionality” which plagues most clmiiiers
+which attempt to determine the decision boundaries in a
+highdimensional featue space. In contrast, in CSM, it is possible
+to build classifiers without a ” n o n   feature space. Separate
+Law-dimensional features seta may be de6ned for each class, while"

+76d8b370d0a8fc63ead6ba657dd438d7155d659f,Modular Sensor Fusion for Semantic Segmentation,"(cid:13)2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any
+urrent or future media, including reprinting/republishing this material for advertising or promotional purposes, creating
+new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in
+other works.
+Please cite this paper as:
+title
+uthor
+ooktitle = ""2018 {IEEE/RSJ} International Conference on Intelligent Robots
+= ""Modular Sensor Fusion for Semantic Segmentation"",
+= ""Blum, Hermann and Gawel, Abel and Siegwart, Roland and Cadena, Cesar"",
+nd Systems ({IROS})"",
+= 2018;"

+766728bac030b169fcbc2fbafe24c6e22a58ef3c,A survey of deep facial landmark detection,"A survey of deep facial landmark detection
+Yongzhe Yan1,2
+Xavier Naturel2
+Christophe Garcia3
+Thierry Chateau1
+Christophe Blanc1
+Stefan Duffner3
+Université Clermont Auvergne, France
+Wisimage, France
+Université de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France
+Résumé
+La détection de landmarks joue un rôle crucial dans de
+nombreuses applications d’analyse du visage comme la
+reconnaissance de l’identité, des expressions, l’animation
+d’avatar, la reconstruction 3D du visage, ainsi que pour
+les applications de réalité augmentée comme la pose de
+masque ou de maquillage virtuel. L’avènement de l’ap-
+prentissage profond a permis des progrès très importants
+dans ce domaine, y compris sur les corpus non contraints
+(in-the-wild). Nous présentons ici un état de l’art cen-"

+7697295ee6fc817296bed816ac5cae97644c2d5b,Detecting and Recognizing Human-Object Interactions,"Detecting and Recognizing Human-Object Interactions
+Georgia Gkioxari Ross Girshick
+Piotr Doll´ar Kaiming He
+Facebook AI Research (FAIR)"

+76a0016ce19363ef8f7ba5c3964c4a0c29b608ca,ModaNet: A Large-scale Street Fashion Dataset with Polygon Annotations,"ModaNet: A Large-scale Street Fashion Dataset with Polygon
+Annotations
+Shuai Zheng
+eBay Inc.
+San Jose, California
+M. Hadi Kiapour
+eBay Inc.
+San Francisco, California
+Fan Yang
+eBay Inc.
+San Jose, California
+Robinson Piramuthu
+eBay Inc.
+San Francisco, California"

+7636f94ddce79f3dea375c56fbdaaa0f4d9854aa,Robust Facial Expression Recognition Using a Smartphone Working against Illumination Variation,"Appl. Math. Inf. Sci. 6 No. 2S pp. 403S-408S (2012)
+An International Journal
+© 2012 NSP
+Applied Mathematics & Information Sciences
+Robust Facial Expression Recognition Using
+Smartphone Working against Illumination Variation
+2012 NSP
+Natural Sciences Publishing Cor.
+Kyoung-Sic Cho1, In-Ho Choi1 and Yong-Guk Kim1
+Department of Computer Engineering, Sejong University, 98 Kunja-Dong, Kwangjin-Gu, Seoul, Korea
+Corresponding author: Email:
+Received June 22, 2010; Revised March 21, 2011; Accepted 11 June 2011
+Published online: 1 January 2012"

+7638cb16631fbcdf621aaf392fec5108e6fa9f47,On Nonrigid Shape Similarity and Correspondence,"Alon Shtern and Ron Kimmel
+November 25, 2013
+trinsically symmetric halves of a human face were found by mapping the shape (left) to itself.
+Textures from two faces (middle) were transferred to each half (right)."

+1ca9ab2c1b5e8521cba20f78dcf1895b3e1c36ac,"Explorer "" Here ' s looking at you , kid","""Here's looking at you, kid""
+Citation for published version:
+Marin-Jimenez, M, Zisserman, A & Ferrari, V 2011, ""Here's looking at you, kid"": Detecting people looking at
+each other in videos. in Proceedings of the British Machine Vision Conference (BMVC): Dundee, September
+011. BMVA Press, pp. 22.1-22.12. DOI: 10.5244/C.25.22
+Digital Object Identifier (DOI):
+0.5244/C.25.22
+Link:
+Link to publication record in Edinburgh Research Explorer
+Document Version:
+Peer reviewed version
+Published In:
+Proceedings of the British Machine Vision Conference (BMVC)
+General rights
+Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s)
+nd / or other copyright owners and it is a condition of accessing these publications that users recognise and
+bide by the legal requirements associated with these rights.
+Take down policy
+The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer
+ontent complies with UK legislation. If you believe that the public display of this file breaches copyright please"

+1c80bc91c74d4984e6422e7b0856cf3cf28df1fb,Hierarchical Adaptive Structural SVM for Domain Adaptation,"Noname manuscript No.
+(will be inserted by the editor)
+Hierarchical Adaptive Structural SVM for Domain Adaptation
+Jiaolong Xu · Sebastian Ramos · David V´azquez · Antonio M. L´opez
+Received: date / Accepted: date"

+1ce3a91214c94ed05f15343490981ec7cc810016,Exploring photobios,"Exploring Photobios
+Ira Kemelmacher-Shlizerman1
+Eli Shechtman2
+Rahul Garg1,3
+Steven M. Seitz1,3
+University of Washington∗
+Adobe Systems†
+Google Inc."

+1cd9dba357e05c9be0407dc5d477fd528cfeb79b,Model-driven Simulations for Deep Convolutional Neural Networks,"Model-driven Simulations for Deep Convolutional
+Neural Networks
+V S R Veeravasarapu1, Constantin Rothkopf2, Visvanathan Ramesh1
+Center for Cognition and Computing, Goethe University, Frankfurt.
+Cognitive Science Center, Technical University, Darmstadt."

+1cb68fa98a0d9871a394cd0035488df167b9c2cf,RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation,"RedNet: Residual Encoder-Decoder Network for
+indoor RGB-D Semantic Segmentation
+Jindong Jiang, Lunan Zheng, Fei Luo, and Zhijun Zhang
+The School of Automation Science and Engineering, South China University of
+Technology, Guangzhou 510640, China"

+1cf6bc0866226c1f8e282463adc8b75d92fba9bb,"Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering","Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for
+Visual Question Answering
+Huijuan Xu
+UMass Lowell
+Kate Saenko
+UMass Lowell"

+1c9333bcf523388d75f852e0689b0e7f5a04faa4,Person Part Segmentation based on Weak Supervision,"JIANG, CHI: PERSON PART SEGMENTATION BASED ON WEAK SUPERVISION  1
+Person Part Segmentation based on Weak
+Supervision
+Yalong Jiang1                                                                   1Department of Electronic and Information
+Engineering
+Zheru Chi1                                                                             The Hong Kong Polytechnic University, HK"

+1c26e415c7eae2f3b0f49e0519f0d985ec661c63,Intersection of Longest Paths in Graph Theory and Predicting Performance in Facial Recognition,"Georgia State University
+ScholarWorks Georgia State University
+Mathematics Dissertations
+Department of Mathematics and Statistics
+-6-2017
+Intersection of Longest Paths in Graph Theory and
+Predicting Performance in Facial Recognition
+Amy Yates
+Follow this and additional works at: http://scholarworks.gsu.edu/math_diss
+Recommended Citation
+Yates, Amy, ""Intersection of Longest Paths in Graph Theory and Predicting Performance in Facial Recognition."" Dissertation, Georgia
+State University, 2017.
+http://scholarworks.gsu.edu/math_diss/34
+This Dissertation is brought to you for free and open access by the Department of Mathematics and Statistics at ScholarWorks Georgia State
+University. It has been accepted for inclusion in Mathematics Dissertations by an authorized administrator of ScholarWorks Georgia State
+University. For more information, please contact"

+1cb95f013ec3e78acdda6ac6cfdb362ae6a5ceac,Nonnegative matrix factorization for segmentation analysis,"Nonnegative matrix factorization for
+segmentation analysis
+Roman Sandler
+Technion - Computer Science Department - Ph.D. Thesis  PHD-2010-09 - 2010"

+1cfe3533759bf95be1fce8ce1d1aa2aeb5bfb4cc,Recognition of Facial Gestures Based on Support Vector Machines,"Recognition of Facial Gestures based on Support
+Vector Machines
+Attila Fazekas and Istv(cid:19)an S(cid:19)anta
+Faculty of Informatics, University of Debrecen, Hungary
+H-4010 Debrecen P.O.Box 12."

+1ce4587e27e2cf8ba5947d3be7a37b4d1317fbee,Deep fusion of visual signatures for client-server facial analysis,"Deep fusion of visual signatures
+for client-server facial analysis
+Binod Bhattarai
+Normandie Univ, UNICAEN,
+ENSICAEN, CNRS, GREYC
+Gaurav Sharma
+Computer Sc. & Engg.
+IIT Kanpur, India
+Frederic Jurie
+Normandie Univ, UNICAEN,
+ENSICAEN, CNRS, GREYC
+Facial analysis is a key technology for enabling human-
+machine interaction.
+In this context, we present a client-
+server framework, where a client transmits the signature of
+face to be analyzed to the server, and, in return, the server
+sends back various information describing the face e.g. is the
+person male or female, is she/he bald, does he have a mus-
+tache, etc. We assume that a client can compute one (or a
+ombination) of visual features; from very simple and ef‌f‌i-"

+1cd0bc067e66bc1f66a73b401a4a470e43e4bb9e,Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples,"Houdini: Fooling Deep Structured Visual and Speech
+Recognition Models with Adversarial Examples
+Moustapha Cisse
+Facebook AI Research
+Natalia Neverova*
+Facebook AI Research"

+1cee733ee31e245dac4655a870fd9226163a52b5,Bidirectional Beam Search: Forward-Backward Inference in Neural Sequence Models for Fill-in-the-Blank Image Captioning,"Bidirectional Beam Search: Forward-Backward Inference in
+Neural Sequence Models for Fill-in-the-Blank Image Captioning
+Qing Sun
+Virginia Tech
+Stefan Lee
+Virginia Tech
+Dhruv Batra
+Georgia Tech"

+1cd584f519d9cd730aeef1b1d87f7e2e82b4de59,A fully automatic face recognition system using a combined audio - visual approach ∗,"A fully automatic face recognition system using a combined
+udio-visual approach ∗
+Alberto Albiol†, Luis Torres†, and Edward J. Delp? †
+Communications Department
+Technical University of Valencia, Valencia, Spain
+Department of Signal Theory & Communications
+Technical University of Catalonia, Barcelona, Spain
+?School of Electrical and Computer Engineering
+Purdue University West Lafayette, IN 47907-1285
+Corresponding Author:
+Dr. Alberto Albiol
+Communications Department
+Technical University of Valencia, Valencia, Spain
+6022 Valencia (Spain)
+Telephone: +34 96 387 97 38
+Fax: +34 96 387 73 09
+Email:"

+1c30bb689a40a895bd089e55e0cad746e343d1e2,Learning Spatiotemporal Features with 3D Convolutional Networks,"Learning Spatiotemporal Features with 3D Convolutional Networks
+Du Tran1
+, Lubomir Bourdev1, Rob Fergus1, Lorenzo Torresani2, Manohar Paluri1
+Facebook AI Research, 2Dartmouth College"

+1c521ac6e68436f6c6aad3c0eb7ffa557fe25b0d,Modeling Image Patches with a Generic Dictionary of Mini-epitomes,"Modeling Image Patches with a Generic Dictionary of Mini-Epitomes
+George Papandreou
+TTI Chicago
+Liang-Chieh Chen
+UC Los Angeles
+Alan L. Yuille
+UC Los Angeles"

+1cc3c5f242d885738e9349a91d4beba82ae106a6,Scalable nonconvex inexact proximal splitting,"Scalable nonconvex inexact proximal splitting
+Suvrit Sra
+Max Planck Institute for Intelligent Systems
+72076 T¨ubigen, Germany"

+1cf01968594ae59d28b12c9a35fc43d944563071,Low-Level Features for Image Retrieval Based on Extraction of Directional Binary Patterns and Its Oriented Gradients Histogram,"Computer Applications: An International Journal (CAIJ), Vol.2, No.1, February 2015
+LOW-LEVEL FEATURES FOR IMAGE RETRIEVAL BASED
+ON EXTRACTION OF DIRECTIONAL BINARY PATTERNS
+AND ITS ORIENTED GRADIENTS HISTOGRAM
+Nagaraja S. and Prabhakar C.J.
+Department of P.G. Studies and Research in Computer Science
+Kuvempu University, India"

+1c3073b57000f9b6dbf1c5681c52d17c55d60fd7,Direction de thèse:,"THÈSEprésentéepourl’obtentiondutitredeDOCTEURDEL’ÉCOLENATIONALEDESPONTSETCHAUSSÉESSpécialité:InformatiqueparCharlotteGHYSAnalyse,Reconstruction3D,&AnimationduVisageAnalysis,3DReconstruction,&AnimationofFacesSoutenancele19mai2010devantlejurycomposéde:Rapporteurs:MajaPANTICDimitrisSAMARASExaminateurs:MichelBARLAUDRenaudKERIVENDirectiondethèse:NikosPARAGIOSBénédicteBASCLE"

+1cbc189a4484cd2b1371798bae2ff50c0442ce60,A Hybrid Loss for Multiclass and Structured Prediction,"IEEE TRANSACTIONS ON PATTERN ANALYSIS & MACHINE INTELLIGENCE, FINAL DRAFT, FEB. 2014
+A Hybrid Loss for Multiclass
+nd Structured Prediction
+Qinfeng Shi, Mark Reid, Tiberio Caetano, Anton van den Hengel and Zhenhua Wang"

+1cf29a0131211079fc73908ecf211ee78f090ad9,Regionlets for Generic Object Detection,"Regionlets for Generic Object Detection
+Xiaoyu Wang Ming Yang
+Shenghuo Zhu
+Yuanqing Lin
+NEC Laboratories America, Inc."

+1c1a24169be56e01b0e36e260f49025260a5c7e7,A Deep Compositional Framework for Human-like Language Acquisition in Virtual Environment,"A Deep Compositional Framework for Human-like
+Language Acquisition in Virtual Environment
+Haonan Yu, Haichao Zhang, and Wei Xu
+Baidu Research - Institue of Deep Learning
+Sunnyvale, CA 94089"

+1c93b48abdd3ef1021599095a1a5ab5e0e020dd5,A Compositional and Dynamic Model for Face Aging,"JOURNAL OF LATEX CLASS FILES, VOL. *, NO. *, JANUARY 2009
+A Compositional and Dynamic Model for Face Aging
+Jinli Suo , Song-Chun Zhu , Shiguang Shan and Xilin Chen"

+1cc0183d8fbef098d29b6b5f621745ff099f6c6c,Joint Discovery of Object States and Manipulation Actions,"Joint Discovery of Object States and Manipulation Actions
+Jean-Baptiste Alayrac∗ †
+Josef Sivic∗ † ‡
+Ivan Laptev∗ †
+Simon Lacoste-Julien§"

+1c90ad1e264c29a8d180de47373257a5f1b5aa57,Generalizing Image Captions for Image-Text Parallel Corpus,"Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, pages 790–796,
+Sofia, Bulgaria, August 4-9 2013. c(cid:13)2013 Association for Computational Linguistics
+house being pulled by a boat.” “I saw her in the light of her reading lamp and sneaked back to her door with the camera.” “Sections of the bridge sitting in the Dyer Construction yard south of Cabelas Driver.” Circumstantial information that is not visually present Visually relevant, but with overly extraneous details Visually truthful, but for an uncommon situation Figure1:Examplesofcaptionsthatarenotreadilyapplicabletoothervisuallysimilarimages.textfromtheretrievedsamplestothequeryim-age(e.g.Farhadietal.(2010),Ordonezetal.(2011),Kuznetsovaetal.(2012)).Otherwork(e.g.FengandLapata(2010a),FengandLapata(2010b))usescomputervisiontobiassummariza-tionoftextassociatedwithimagestoproducede-scriptions.Alloftheseapproachesrelyonex-istingtextthatdescribesvisualcontent,butmanytimesexistingimagedescriptionscontainsignifi-cantamountsofextraneous,non-visual,orother-wisenon-desirablecontent.Thegoalofthispaperistodeveloptechniquestoautomaticallycleanupvisuallydescriptivetexttomakeitmoredirectlyusableforapplicationsexploitingtheconnectionbetweenimagesandlanguage.Asaconcreteexample,considerthefirstimageinFigure1.Thiscaptionwaswrittenbythephotoownerandthereforecontainsinformationrelatedtothecontextofwhenandwherethephotowastaken.Objectssuchas“lamp”,“door”,“camera”arenotvisuallypresentinthephoto.Thesecondimageshowsasimilarbutsomewhatdifferentis-sue.Itscaptiondescribesvisibleobjectssuchas“bridge”and“yard”,but“CabelasDriver”areoverlyspecificandnotvisuallydetectable.The"

+1c51aeece7a3c30302ebd83bdcaa65df0bfc48fe,Unsupervised Video Indexing based on Audiovisual Characterization of Persons. (Indexation vidéo non-supervisée basée sur la caractérisation des personnes),"Unsupervised Video Indexing based on Audiovisual
+Characterization of Persons
+Elie El Khoury
+To cite this version:
+Elie El Khoury. Unsupervised Video Indexing based on Audiovisual Characterization of Per-
+sons. Human-Computer Interaction [cs.HC]. Universit´e Paul Sabatier - Toulouse III, 2010.
+English. <tel-00515424v3>
+HAL Id: tel-00515424
+https://tel.archives-ouvertes.fr/tel-00515424v3
+Submitted on 7 Sep 2010
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+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"

+1cbf3b90065e8a410668ed914e9d03a94a4d94aa,Visual-Inertial Semantic Scene Representation,"Visual-Inertial Semantic Scene Representation
+UCLA TR CSD160005
+Stefano Soatto
+May 20, 2016"

+1c7e1248ce254b3a9a0b6fef9e37d37620fc8aa3,Dynamic Image-to-Class Warping for Occluded Face Recognition,"Dynamic Image-to-Class Warping for Occluded
+Face Recognition
+Xingjie Wei, Chang-Tsun Li, Senior Member, IEEE, Zhen Lei, Member, IEEE,
+Dong Yi, and Stan Z. Li, Fellow, IEEE"

+1cdf8790a675037579bbe2ee4f39f731f7672fae,Pivot Correlational Neural Network for Multimodal Video Categorization,"Pivot Correlational Neural Network for
+Multimodal Video Categorization
+Sunghun Kang1[0000−0003−2632−7522], Junyeong Kim1[0000−0002−7871−9627],
+Hyunsoo Choi2, Sungjin Kim2, and Chang D. Yoo1
+KAIST, Daejeon, South Korea
+{sunghun.kang, junyeong.kim,
+SAMSUNG ELECTRONICS CO.,LTD, Seoul, South Korea
+{hsu.choi,"

+1ca40e1d0ae377296ac6804c81c1e5bcbc5475c8,RVM-Based Human Action Classification in Crowd through Projection and Star Skeletonization,"Hindawi Publishing Corporation
+EURASIP Journal on Image and Video Processing
+Volume 2009, Article ID 164019, 12 pages
+doi:10.1155/2009/164019
+Research Article
+RVM-Based Human Action Classification in Crowd through
+Projection and Star Skeletonization
+B. Yogameena, S. Veeralakshmi, E. Komagal, S. Raju, and V. Abhaikumar
+Department of Electronics and Communication Engineering, Thiagarajar College of Engineering,
+Madurai 625015, Tamil Nadu, India
+Correspondence should be addressed to B. Yogameena,
+Received 1 February 2009; Revised 17 May 2009; Accepted 26 August 2009
+Recommended by Amit Roy-Chowdhury
+Detection of abnormal human actions in the crowd has become a critical problem in video surveillance applications like terrorist
+ttacks. This paper proposes a real-time video surveillance system which is capable of classifying normal and abnormal actions of
+individuals in a crowd. The abnormal actions of human such as running, jumping, waving hand, bending, walking and fighting
+with each other in a crowded environment are considered. In this paper, Relevance Vector Machine (RVM) is used to classify
+the abnormal actions of an individual in the crowd based on the results obtained from projection and skeletonization methods.
+Experimental results on benchmark datasets demonstrate that the proposed system is robust and ef‌f‌icient. A comparative study of
+lassification accuracy between Relevance Vector Machine and Support Vector Machine (SVM) classification is also presented."

+1cdff2cd2e3cf8dbeb8f0a42df0cdc77c953dc81,The Emergence of Visual Crowdsensing: Challenges and Opportunities,"The Emergence of Visual Crowdsensing:
+Challenges and Opportunities
+Bin Guo, Senior Member, IEEE, Qi Han,Member, IEEE , Huihui Chen, Longfei Shangguan, Member, IEEE,
+Zimu Zhou, Member, IEEE, and Zhiwen Yu, Senior Member, IEEE"

+1c1e4415f0acf5d536c9579117d326471f0b678b,Temporal Model Adaptation for Person Re-identification,"Temporal Model Adaptation for
+Person Re-Identification
+Niki Martinel1,3, Abir Das2,
+Christian Micheloni1, and Amit K. Roy-Chowdhury3
+University of Udine, 33100 Udine, Italy
+University of Massatchussets Lowell, 01852 Lowell, MA, USA
+University of California Riverside, 92507 Riverside, CA, USA"

+1ca155a4b65ae19ccb73df48516e4775770a382c,Action Representations in Robotics: A Taxonomy and Systematic Classification,"Action representations in robotics: A
+taxonomy and systematic classification
+Journal Title
+XX(X):1–32
+(cid:13)The Author(s) 2016
+Reprints and permission:
+sagepub.co.uk/journalsPermissions.nav
+DOI: 10.1177/ToBeAssigned
+www.sagepub.com/
+Philipp Zech, Erwan Renaudo, Simon Haller, Xiang Zhang and Justus Piater"

+1c0e8c3fb143eb5eb5af3026eae7257255fcf814,Weakly Supervised Deep Detection Networks,"GOALS
+Goal: Learn object detectors using only image-level labels
+Why weakly supervised learning?
+• annotations are costly
+• CNN training is data-hungry
+Hypothesis: Pre-trained CNNs should contain meaningful
+representations of data such as objects and object parts.
+Thus we can exploit this implicit knowledge to learn localizing
+objects.
+Classification stream
+𝑹𝟏 𝑹𝟐 𝑹𝟑 𝑹𝟒
+0.52 0.47 0.04 0.93
+horse
+person 0.48 0.53 0.96 0.07
+Normalize over classes
+Detection stream
+𝑹𝟏 𝑹𝟐 𝑹𝟑 𝑹𝟒
+horse
+0.04 0.01 0.07 0.88
+person 0.02 0.03 0.91 0.04"

+1c400dcd6c3e54498d9a7bd5aa4c456079a9d236,Sketch and Validate for Big Data Clustering,"Sketch and Validate for Big Data Clustering
+Panagiotis A. Traganitis, Konstantinos Slavakis, Senior Member, IEEE, and Georgios B. Giannakis, Fellow, IEEE"

+1c6e22516ceb5c97c3caf07a9bd5df357988ceda,Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data,"NetworkCNNimageslabelsFakeDatasetimages24132labelsTarget NetworkCNNimageslabelsOriginalDatasetFakeDatasetFig.1:Ontheleft,thetargetnetworkistrainedwithanoriginal(confidential)datasetandisservedpubliclyasanAPI,receivingimagesasinputandprovidingclasslabelsasoutput.Ontheright,itispresentedtheprocesstogetstolenlabelsandtocreateafakedataset:randomnaturalimagesaresenttotheAPIandthelabelsareobtained.Afterthat,thecopycatnetworkistrainedusingthisfakedataset.cloud-basedservicestocustomersallowingthemtooffertheirownmodelsasanAPI.Becauseoftheresourcesandmoneyinvestedincreatingthesemodels,itisinthebestinterestofthesecompaniestoprotectthem,i.e.,toavoidthatsomeoneelsecopythem.Someworkshavealreadyinvestigatedthepossibilityofcopyingmodelsbyqueryingthemasablack-box.In[1],forexample,theauthorsshowedhowtoperformmodelextractionattackstocopyanequivalentornear-equivalentmachinelearningmodel(decisiontree,logisticregression,SVM,andmultilayerperceptron),i.e.,onethatachievescloseto100%agreementonaninputspaceofinterest.In[2],theauthorsevaluatedtheprocessofcopyingaNaiveBayesandSVMclassifierinthecontextoftextclassification.Bothworksfocusedongeneralclassifiersandnotondeepneuralnetworksthatrequirelargeamountsofdatatobetrainedleavingthequestionofwhetherdeepmodelscanbeeasilycopied.Althoughthesecondusesdeeplearningtostealtheclassifiers,itdoesnottrytouseDNNstostealfromdeepmodels.Additionally,theseworksfocusoncopyingbyqueryingwithproblemdomaindata.Inrecentyears,researchershavebeenexploringsomeintriguingpropertiesofdeepneuralnetworks[3],[4].More©2018IEEE.Personaluseofthismaterialispermitted.PermissionfromIEEEmustbeobtainedforallotheruses,inanycurrentorfuturemedia,includingreprinting/republishingthismaterialforadvertisingorpromotionalpurposes,creatingnewcollectiveworks,forresaleorredistributiontoserversorlists,orreuseofanycopyrightedcomponentofthisworkinotherworks."

+82d5656c74362d6c5c5fd889fc48f7816bbb033a,Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias,"Contemplating Visual Emotions: Understanding
+nd Overcoming Dataset Bias
+Rameswar Panda1, Jianming Zhang2, Haoxiang Li3, Joon-Young Lee2, Xin
+Lu2, and Amit K. Roy-Chowdhury1
+Department of ECE, UC Riverside.
+Adobe Research.
+Aibee."

+825f56ff489cdd3bcc41e76426d0070754eab1a8,Making Convolutional Networks Recurrent for Visual Sequence Learning,"Making Convolutional Networks Recurrent for Visual Sequence Learning
+Xiaodong Yang Pavlo Molchanov Jan Kautz
+NVIDIA"

+82224858677af47b8c836df701eeea8fffaec924,Paper On Person Identification System Using Multi - Model Biometric Based On Face,"International Journal of Science, Engineering and Technology Research (IJSETR)
+Volume 6, Issue 4, April 2017, ISSN: 2278 -7798
+Review Paper On Person Identification System
+Using Multi-Model Biometric Based On Face
+CHETAN  JAMDAR1, AMOL BOKE2
+Chetan  Jamdar, M. Tech Student, Dept Of ECE, G.H. Raisoni Academy Of Engg. And Technology, Nagpur,
+Maharashtra, India.
+Guide details: Amol Boke,  Assistant Professor, Dept Of ECE, G.H. Raisoni Academy Of Engg. And Technology,
+Nagpur, Maharashtra, India"

+82d2af2ffa106160a183371946e466021876870d,A Novel Space-Time Representation on the Positive Semidefinite Con for Facial Expression Recognition,"A Novel Space-Time Representation on the Positive Semidefinite Cone
+for Facial Expression Recognition
+Anis Kacem1, Mohamed Daoudi1, Boulbaba Ben Amor1, and Juan Carlos Alvarez-Paiva2
+IMT Lille Douai, Univ. Lille, CNRS, UMR 9189 – CRIStAL –
+Centre de Recherche en Informatique Signal et Automatique de Lille, F-59000 Lille, France
+Univ. Lille, CNRS, UMR 8524, Laboratoire Paul Painlev´e, F-59000 Lille, France."

+82a2a523c4488c34b486c920046f4ebbf8ea828e,Vision-Based System for Human Detection and Tracking in Indoor Environment,"Author manuscript, published in ""International Journal of Social Robotics 2, 1 (2010) 41-52""
+DOI : 10.1007/s12369-009-0040-4"

+82eff71af91df2ca18aebb7f1153a7aed16ae7cc,MSU-AVIS dataset : Fusing Face and Voice Modalities for Biometric Recognition in Indoor Surveillance Videos,"MSU-AVIS dataset:
+Fusing Face and Voice Modalities for Biometric
+Recognition in Indoor Surveillance Videos
+Anurag Chowdhury*, Yousef Atoum+, Luan Tran*, Xiaoming Liu*, Arun Ross*
+*Michigan State University, USA
++Yarmouk University, Jordan"

+82d3dc1dd35e7d2d13bc43614b575dce61b0aba3,Head Pose Estimation from Passive Stereo Images,"Head Pose Estimation
+from Passive Stereo Images
+M. D. Breitenstein1, J. Jensen2, C. Høilund2, T. B. Moeslund2, L. Van Gool1
+ETH Zurich, Switzerland1 Aalborg University, Denmark2"

+820b1349751d7e932b74c3de94b96557fa2534cf,BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography,"BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography
+Michael J. Wilber1,2
+Chen Fang1
+John Collomosse1
+Adobe Research
+Aaron Hertzmann1
+Hailin Jin1
+Serge Belongie2
+Cornell Tech"

+82ff25b6e7749e0210b2f8d5a0666f3499745154,Adaptive Multiple Kernels with SIR-Particle Filter Based Multi Human Tracking for Occluded Environment,"International Journal of Computational Intelligence and Informatics, Vol. 3: No. 4, January - March 2014
+Adaptive Multiple Kernels with SIR-Particle Filter
+Based Multi Human Tracking for Occluded
+Environment
+T Karpagavalli
+Department of Electronics and Communication
+KLN College of Information Technology
+Sivagangai, Tamilnadu, India
+S Appavu alias Balamurugan
+Department of Information Technology
+KLN College of Information Technology
+Sivagangai, Tamilnadu, India"

+82c303cf4852ad18116a2eea31e2291325bc19c3,Fusion Based FastICA Method: Facial Expression Recognition,"Journal of Image and Graphics, Volume 2, No.1, June, 2014
+Fusion Based FastICA Method: Facial Expression
+Recognition
+Humayra B. Ali and David M W Powers
+Computer Science, Engineering and Mathematics School, Flinders University, Australia
+Email: {ali0041,"

+82fae97673a353271b1d4c001afda1af6ef6dc23,Semantic contours from inverse detectors,"Semantic Contours from Inverse Detectors∗
+Bharath Hariharan1, Pablo Arbel´aez1, Lubomir Bourdev1
+, Subhransu Maji1 and Jitendra Malik1
+EECS, U.C. Berkeley, Berkeley, CA 94720
+Adobe Systems, Inc., 345 Park Ave, San Jose, CA 95110
+{bharath2, arbelaez, lbourdev, smaji,"

+82ec2ff0bef7db7e5ea48c42336200fb0e44dbf9,Reconstruction of 3D Human Facial Images Using Partial Differential Equations,"Reconstruction of 3D Human Facial Images
+Using Partial Differential Equations
+University of Bradford/EIMC Department, Richmond Road, BD7 1DP, Bradford, UK
+Email: {E.Elyan,
+Eyad Elyan, Hassan Ugail
+(PDE).  Here"

+8210fd10ef1de44265632589f8fc28bc439a57e6,Single Sample Face Recognition via Learning Deep Supervised Autoencoders,"Single Sample Face Recognition via Learning Deep
+Supervised Auto-Encoders
+Shenghua  Gao,  Yuting  Zhang,  Kui  Jia,  Jiwen  Lu,  Yingying  Zhang"

+82ab819815c86e85128a2a055a0c0fcd1146b696,Sampled Image Tagging and Retrieval Methods on User Generated Content,[cs.CV]  23 Nov 2016

+82f6dad08432a5f1b737ba91dd002ff1f89170f7,c○2013 The Association for Computational Linguistics Order copies of this and other ACL proceedings from:,"ACL201351stAnnualMeetingoftheAssociationforComputationalLinguisticsProceedingsoftheConferenceSystemDemonstrationsAugust4-9,2013Sofia,Bulgaria"

+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"

+8239e4a37825979f66ff0419ccd50a08aebfbadf,Tracing the Colors of Clothing in Paintings with Image Analysis,"Tracing the Colors of Clothing in Paintings with
+Image Analysis
+Cihan Sarı1, Albert Ali Salah2, and Alkım Almıla Akda˘g Salah3
+Bo˘gazi¸ci University, Systems and Control Engineering,
+Bo˘gazi¸ci University, Computer Engineering,
+{cihan.sari,
+Istanbul S¸ehir University, College of Communications
+Introduction
+The history of color is full of instances of how and why certain colors become to
+e associated with certain concepts, ideas, politics, status and power. Sometimes
+the connotations occur arbitrarily, like in the instance when pink was assigned
+to baby girls, and blue started to be associated with baby boys at the turn of
+9th Century [Paoletti, 1987]. Sometimes though, color associations have very
+tangible reasons, such as in the case of Marian blue and why over the centuries
+it was reserved only for painting Virgin Mary. The reason is to be found in the
+scarcity of the rock lapis lazuli -even more valuable than gold-, from which the
+lue pigments were extracted. Individual colors have convoluted and contested
+histories, since they have been attached to many symbols at any given time.
+John Gage, an art historian who has devoted 30 years of research on the topic
+of color, explains the conundrum of what he terms as “politics of color” in a"

+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"

+825bfa844e4493f205f66782c6ca68aa69018d9c,In-Place Activated BatchNorm for Memory-Optimized Training of DNNs,"In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
+Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder
+Mapillary Research"

+82a922e775ec3a83d2d5637030860f587697ae42,Dense Multiperson Tracking with Robust Hierarchical Linear Assignment,"Dense Multiperson Tracking with Robust Hierarchical Linear
+Assignment
+McLaughlin, N., Martinez-del-Rincon, J., & Miller, P. (2015). Dense Multiperson Tracking with Robust
+https://doi.org/10.1109/TCYB.2014.2348314
+Published in:
+Document Version:
+Peer reviewed version
+Queen's University Belfast - Research Portal:
+Link to publication record in Queen's University Belfast Research Portal
+Publisher rights
+Copyright 2014 IEEE.
+Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.
+General rights
+Copyright for the publications made accessible via the Queen's University Belfast Research Portal is retained by the author(s) and / or other
+opyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated
+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"

+82485c89a6b48077b03b65a774fd5768ea768d4d,Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks,"Unsupervised Adaptive Re-identification in Open World Dynamic Camera
+Networks
+Rameswar Panda1,∗ Amran Bhuiyan2,∗,† Vittorio Murino2 Amit K. Roy-Chowdhury1
+Department of ECE
+Pattern Analysis and Computer Vision (PAVIS)
+UC Riverside
+Istituto Italiano di Tecnologia, Italy"

+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
+Erratic Illumination Condition
+G.Nirmala Priya
+Associate Professor, Department of ECE
+Sona College of Technology
+Salem"

+82f4e8f053d20be64d9318529af9fadd2e3547ef,Technical Report: Multibiometric Cryptosystems,"Technical Report:
+Multibiometric Cryptosystems
+Abhishek Nagar, Student Member, IEEE, Karthik Nandakumar, Member, IEEE, and Anil K. Jain, Fellow, IEEE"

+82319857563e7b578bcb66ec4df1c85decd6a624,Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure,"Cooperative Tracking of Cyclists Based on
+Smart Devices and Infrastructure
+G¨unther Reitberger, Maarten Bieshaar, Stefan Zernetsch, Konrad Doll, Bernhard Sick, and Erich Fuchs"

+828b73e8a4d539eeae82601b5f5a4392818c6430,Long-Term Tracking by Decision Making,"UNIVERSITY OF CALIFORNIA,
+IRVINE
+Long-Term Tracking by Decision Making
+DISSERTATION
+submitted in partial satisfaction of the requirements
+for the degree of
+DOCTOR OF PHILOSOPHY
+in Computer Science
+James Supanˇciˇc, III
+Dissertation Committee:
+Deva Ramanan, Chair
+Charless Fowlkes
+Alexander Ihler"

+821ba3eba1e36a29cc482f5378f4a0d0f6893159,Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach,"Unsupervised Domain Adaptation for Learning Eye Gaze from a
+Million Synthetic Images: An Adversarial Approach
+Avisek Lahiri∗
+Abhinav Agarwalla
+Prabir Kumar Biswas
+Dept. of E&ECE, IIT Kharagpur
+Dept. of E&ECE, IIT Kharagpur
+Dept. of Mathematics, IIT Kharagpur"

+82d781b7b6b7c8c992e0cb13f7ec3989c8eafb3d,Robust Facial Expression Recognition Using a State-based Model of Spatially-localized Facial,"REFERENCES
+Adler  A.,  Youmaran  R.  and  Loyka  S.,  “Towards  a  Measure  of
+Biometric  Information”,  Canadian  Conference  on  Electrical  and
+Computer Engineering, pp. 210-213, 2006.
+Ahmed A.A.E. and Traore I., “Anomaly  Intrusion Detection Based on
+Biometrics”, IEEE Workshop on Information Assurance, United States
+Military Academy, West Point, New York, pp. 452-458, 2005.
+Ahmed  A.A.E.  and  Traore  I.,  “Detecting  Computer  Intrusions  using
+Behavioural  Biometrics”,  Third  Annual  Conference  on  Privacy,
+Security  and  Trust,  St.  Andrews,  New  Brunswick,  Canada,  pp.  1-8,
+005.
+Al-Zubi  S.,  Bromme  A.  and  Tonnies  K.,  “Using  an  Active  Shape
+Structural  Model  for  Biometric  Sketch  Recognition”,  Proceedings  of
+DAGM, Magdeburg, Germany, Vol. 2781, pp. 187-195, 2003.
+Angle S., Bhagtani R. and Chheda H., “Biometrics: a Further Echelon
+of  Security”,  The  First  UAE  International  Conference  on  Biological
+nd Medical Physics, pp. 1-4, 2005.
+Avraam  Kasapis.,  “MLPs  and  Pose,  Expression  Classification”,
+Proceedings of UNiS Report, pp. 1-87, 2003.
+Banikazemi  M.,  Poff  D.  and  Abali  B.,  “Storage-based  Intrusion"

+82088af865626e2340db12b2e42f3a258053d593,Learning Generative ConvNets via Multi-grid Modeling and Sampling,"Learning Generative ConvNets via Multi-grid Modeling and Sampling
+Ruiqi Gao1∗, Yang Lu2∗, Junpei Zhou3, Song-Chun Zhu1, Ying Nian Wu1
+University of California, Los Angeles, USA, 2 Amazon, 3 Zhejiang University, China
+{sczhu,"

+82417d8ec8ac6406f2d55774a35af2a1b3f4b66e,Some Faces are More Equal than Others: Hierarchical Organization for Accurate and Efficient Large-Scale Identity-Based Face Retrieval,"Some faces are more equal than others:
+Hierarchical organization for accurate and
+ef‌f‌icient large-scale identity-based face retrieval
+Binod Bhattarai1, Gaurav Sharma2, Fr´ed´eric Jurie1, Patrick P´erez2
+GREYC, CNRS UMR 6072, Universit´e de Caen Basse-Normandie, France1
+Technicolor, Rennes, France2"

+82a4562d9ef19aec3aeaf9bd9f0ac4e09bdf5c86,Putting Out a HIT: Crowdsourcing Malware Installs,"Putting Out a HIT: Crowdsourcing Malware Installs
+Chris Kanich
+UC San Diego
+Stephen Checkoway
+UC San Diego
+Keaton Mowery
+UC San Diego"

+82f6cc54ddb4df9fae811467bdf25f25985c7e2f,CNN features are also great at unsupervised classification,"CNN features are also great at unsupervised
+lassification
+Joris Guérin∗
+Arts et Métiers ParisTech
+59000, Lille, France
+Eric Nyiri∗
+Arts et Métiers ParisTech
+59000, Lille, France
+Olivier Gibaru∗
+Arts et Métiers ParisTech
+59000, Lille, France
+Stéphane Thiery∗
+Arts et Métiers ParisTech
+59000, Lille, France"

+82752700f496d4575163b2c59a547d24eb916baf,Similarity Search on Spatio-Textual Point Sets,"Series ISSN: 2367-2005
+0.5441/002/edbt.2016.31
+o1, {shop,jeans}u2, o2, {football,match,stadium}u3, o3, {shop,market}u2, o5, {hurry, tube, time}u1, o4, {tube,ride}u3, o6, {thames,bridge}u3, o7, {bus,ride}spatial thresholdu2, o8, {football,derby}Figure1:STPSJoinqueryscenario.Multipleobjectsarespatiallyortextuallysimilar,butonlyusersu1andu3haveobjectswhicharemutuallysimilar.dayfrom100millionactiveusers.Useractivitiesintheseplatformsgeneratecontentthathastextualcomponent,e.g.,statusupdates,shortmessages,ortags,and,followingthewidespreadadoptionofGPSinmobiledevices,ageospatialcomponent,e.g.,geotaggedtweets,photos,andusercheck-ins.Thus,theactionsofusersaredocumentedbytheirmessagesinsocialnetworksandassuchgenerate“traces”,whichconsistofspatio-textualobjects.Ef‌f‌icientindexingandqueryingofspatio-textualdatahasreceivedalotofattentionoverthepastyears,duetothehighimportanceofsuchcontentinlocation-basedservices,suchasnearbysearchandrecommendations.Inparticu-lar,multipletypesofspatio-textualquerieshavebeenex-tensivelystudied,includingbooleanrangequeries,top-kqueries,k-nearestneighborqueries,andmorerecently,spatio-textualsimilarityjoins[11,7].Nevertheless,inexistingworks,spatio-textualentitiesaretypicallytreatedasisolatedobservations.Atypicalexamplequeryistofindnearbyrestaurantsorhotelsmatchingcertaincriteria.Theworkin[7]dealswithfindingpairsofentitiesthatarebothspatiallycloseandtextuallysimilar.Exampleusecasesarede-duplicatingPoints-of-Interestacrossdatasets,orfindingmatchingphotostakenatroughlythesameloca-tionandhavingsimilartags.Nowconsiderlookingforsimilarusersinsocialnetworks.Here,auserischaracterizedbythemessagestheygenerateand,ifavailable,respectivelocationinformation.Assuch,eachmessagecanbeconsideredaspatio-textualobject,e.g.,ageotaggedphotoortweet.Witheachuserbeingcharacter-"

+8263834bbe6e986a703370810f9b963e2d25a7f7,Towards Head Motion Compensation Using Multi-Scale Convolutional Neural Networks,"Towards Head Motion Compensation Using Multi-Scale
+Convolutional Neural Networks
+O. Rajput1∗, N. Gessert1∗, M. Gromniak1, L. Matth¨aus2, A. Schlaefer1
+Institute of Medical Technology, Hamburg University of Technology, Hamburg, Germany
+eemagine Medical Imaging Solutions GmbH, Berlin, Germany
+Both authors contributed equally.
+Contact:"

+8239a0b4cdb480c9fb913c7476f12825418b0909,People detection in RGB-D data,"People Detection in RGB-D Data
+Luciano Spinello
+Kai O. Arras"

+8291491723d24fd242a3a93248f6475cb084999c,MobileFace: 3D Face Reconstruction with Efficient CNN Regression,"MobileFace: 3D Face Reconstruction
+with Ef‌f‌icient CNN Regression
+Nikolai Chinaev1, Alexander Chigorin1, and Ivan Laptev1,2
+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"

+823f4300ddf64a95324db89035946638ecb02aa0,MX-LSTM: mixing tracklets and vislets to jointly forecast trajectories and head poses,"MX-LSTM: mixing tracklets and vislets to jointly forecast
+trajectories and head poses
+Irtiza Hasan1,2, Francesco Setti1, Theodore Tsesmelis1,2,3, Alessio Del Bue3,
+Fabio Galasso2, and Marco Cristani1
+University of Verona (UNIVR)
+OSRAM GmbH
+Istituto Italiano di Tecnologia (IIT)"

+826c66bd182b54fea3617192a242de1e4f16d020,Action-vectors: Unsupervised movement modeling for action recognition,"978-1-5090-4117-6/17/$31.00 ©2017 IEEE
+ICASSP 2017"

+49b2545b8b9ed81cc547ec974e0b61d01b7bc759,Examplers based image fusion features for face recognition,"Examplers based  image  fusion  features for  face
+recognition
+Alex  Pappachen  James*1  and  Sima  Dimitrijev2
+*1   Asst.  Professor  and   Group Lead, Machine Intelligence Group,  Indian  Institute  of
+Information  Technology and   Management-Kerala,  India.  www.mirgroup.co.cc,
+Professor  and   Deputy Director,Queensland  Micro-  and   Nanotechnology Center,  Griffith
+University,   Australia,  www.gu.edu.au/qmnc"

+499842b3df387b81dbb2436c764d22b1a3f42cae,Collaborative feature learning from social media,"Collaborative Feature Learning from Social Media
+Chen Fang1, Hailin Jin2, Jianchao Yang3, Zhe Lin2
+Department of Computer Science, Dartmouth College. 2Adobe Research. 3Snapchat.
+Image feature representation plays an essential role in image recognition
+nd related tasks. The current state-of-the-art feature learning paradigm
+is supervised learning from labeled data [3], which surpasses other well-
+known hand-crafted feature based methods [4, 5]. However, this paradigm
+requires large datasets with category labels to train properly, which limits its
+pplicability to new problem domains where labels are hard to obtain.
+In this paper, we ask an interesting research question: Are category-level
+labels the only way for data driven feature learning?
+There is a surge of social media websites in the last ten years. Most
+social media websites such as Pinterest have been collecting content data
+that the users share as well as behavior data of the users. User behavior
+data are the activities of individual users, such as likes, comments, or view
+histories and they carry rich information about corresponding content data.
+For instance, two photos of a similar style on Pinterest tend to be pinned by
+the same user. If we aggregate the user behavior data across many users, we
+may recover interesting properties of the content. For instance, the photos
+liked by a group of users of similar interests tend to have very similar styles."

+4941f92222d660f9b60791ba95796e51a7157077,Conditional CycleGAN for Attribute Guided Face Image Generation,"Conditional CycleGAN for Attribute Guided
+Face Image Generation
+Yongyi Lu
+HKUST
+Yu-Wing Tai
+Tencent
+Chi-Keung Tang
+HKUST"

+49004f22a420e0897f7b811239c1e098b0c655bf,Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering,"Out of the Box: Reasoning with Graph Convolution
+Nets for Factual Visual Question Answering
+Medhini Narasimhan, Svetlana Lazebnik, Alexander G. Schwing
+University of Illinois Urbana-Champaign
+{medhini2, slazebni,"

+4919663c62174a9bc0cc7f60da8f96974b397ad2,Human age estimation using enhanced bio-inspired features (EBIF),"HUMAN AGE ESTIMATION USING ENHANCED BIO-INSPIRED FEATURES (EBIF)
+Mohamed Y.El Dib and Motaz El-Saban
+Faculty of Computers and Information, Cairo University, Cairo, Egypt"

+492f3def325296164cd32b80d19a591b72b480cd,Metric Learning,"Computer Vision Group
+Metric Learning
+Technical University of Munich
+Department of Informatics
+Computer Vision Group
+June 9, 2017
+M.Sc. John Chiotellis: Metric Learning
+/ 46"

+4967b0acc50995aa4b28e576c404dc85fefb0601,An Automatic Face Detection and Gender Classification from Color Images using Support Vector Machine,"Vol. 4, No. 1 Jan 2013                                                                                                 ISSN 2079-8407
+Journal of Emerging Trends in Computing and Information Sciences
+©2009-2013 CIS Journal. All rights reserved.
+An Automatic Face Detection and Gender Classification from
+http://www.cisjournal.org
+Color Images using Support Vector Machine
+Md. Hafizur Rahman, 2 Suman Chowdhury, 3 Md. Abul Bashar
+, 2, 3 Department of Electrical & Electronic Engineering, International
+University of Business Agriculture and Technology, Dhaka-1230, Bangladesh"

+4913477a16c8354f032546b1444728c592823586,Web Image Retrieval Search Engine based on Semantically Shared Annotation,"Web Image Retrieval Search Engine based on Semantically
+Shared Annotation
+Alaa Riad1, Hamdy Elminir2 and Sameh Abd-Elghany3
+Vice dean of Students Affair, Faculty of Computers and Information Sciences, Mansoura University
+Mansoura, Egypt
+Mansoura, Egypt
+Mansoura, Egypt
+Head of Electronic and Communication Dept, Misr Higher Institute of Engineering and Technology
+Faculty of Computers and Information Sciences, Mansoura University"

+4914f51bc2f5a35c0d15924e39a51975c53f9753,A 3D Feature Descriptor Recovered from a Single 2D Palmprint Image,"A 3D Feature Descriptor Recovered from a
+Single 2D Palmprint Image
+Qian Zheng1,2, Ajay Kumar1, and Gang Pan2"

+4972aadcce369a8c0029e6dc2f288dfd0241e144,Multi-target Unsupervised Domain Adaptation without Exactly Shared Categories,"Multi-target Unsupervised Domain Adaptation
+without Exactly Shared Categories
+Huanhuan Yu, Menglei Hu and Songcan Chen"

+49d4cb2e1788552a04c7f8fec33fbfabb3882995,Visually-Enabled Active Deep Learning for (Geo) Text and Image Classification: A Review,"Article
+Visually-Enabled Active Deep Learning for
+(Geo) Text and Image Classification: A Review
+Liping Yang 1,*, Alan M. MacEachren 1,* ID , Prasenjit Mitra 2 and Teresa Onorati 3
+Department of Geography and Institute for CyberScience, The Pennsylvania State University,
+University Park, PA 16802, USA
+College of Information Sciences and Technology, The Pennsylvania State University, University Park,
+PA 16802, USA;
+Computer Science Department, Universidad Carlos III de Madrid, 28911-Leganés, Madrid, Spain;
+* Correspondence: (L.Y.); (A.M.M.)
+Received: 29 December 2017; Accepted: 17 February 2018; Published: 20 February 2018"

+494c1630c93e74aca3169ae33734f2f733c95e05,The Iris Challenge Evaluation 2005,"The Iris Challenge Evaluation 2005
+P. Jonathon Phillips, Kevin W. Bowyer, Patrick J. Flynn, Xiaomei Liu, W. Todd Scruggs"

+49f22f29e57f5867b47348555136844ffa6c6603,Beyond Lesion-Based Diabetic Retinopathy: A Direct Approach for Referral,"JOURNAL OF LATEX CLASS FILES, VOL. 11, NO. 4, DECEMBER 2012
+Beyond Lesion-based Diabetic Retinopathy:
+Direct Approach for Referral
+Ramon Pires, Member, IEEE, Sandra Avila, Member, IEEE, Herbert F. Jelinek, Member, IEEE,
+Jacques Wainer, Eduardo Valle, and Anderson Rocha, Senior Member, IEEE"

+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:"

+4987ac5638e1fdb116cc76626465f166998d7536,Polysemous Codes,"Polysemous codes
+Matthijs Douze, Herv´e J´egou and Florent Perronnin
+Facebook AI Research"

+494e736c05ddf500830e9c51b5fb42be9b9bff1a,Learning Depth from Monocular Videos using Direct Methods,

+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"

+49b3f6d8712c01f315686b6b8541eda8c5ee428a,Virtual friend or threat? The effects of facial expression and gaze interaction on psychophysiological responses and emotional experience.,"Copyright r 2009 Society for Psychophysiological Research
+DOI: 10.1111/j.1469-8986.2009.00831.x
+Virtual friend or threat? The effects of facial expression
+nd gaze interaction on psychophysiological responses
+nd emotional experience
+FRANZISKA SCHRAMMEL,a SEBASTIAN PANNASCH,a SVEN-THOMAS GRAUPNER,a
+ANDREAS MOJZISCH,b and BORIS M. VELICHKOVSKYa
+Institute for Psychology III, Technische Universitaet Dresden, Germany
+Institute for Psychology, Georg-August-University Goettingen, Germany"

+49957368eceaa751c0b9c49251512ca6a8800cff,Accurate Object Localization with Shape Masks,"Accurate Object Localization with Shape Masks
+Marcin Marsza(cid:7)ek
+Cordelia Schmid
+INRIA, LEAR - LJK
+665 av de l’Europe, 38330 Montbonnot, France"

+499343a2fd9421dca608d206e25e53be84489f44,Face Recognition with Name Using Local Weber‟s Law Descriptor,"Anil Kumar.C, et.al, International Journal of Technology and Engineering Science [IJTES]TM
+Volume 1[9], pp: 1371-1375, December 2013
+Face Recognition with Name Using Local Weber‟s
+Law Descriptor
+C.Anil kumar,2A.Rajani,3I.Suneetha
+M.Tech Student,2Assistant Professor,3Associate Professor
+Department of ECE, Annamacharya Institute of Technology and Sciences, Tirupati, India-517520
+on  FERET"

+490fa9ee39614e1ef1d74162e698e4a1f0e5f916,In Good Shape: Robust People Detection based on Appearance and Shape,"PISHCHULIN et al.: PEOPLE DETECTION USING APPEARANCE AND SHAPE
+In Good Shape: Robust People Detection
+ased on Appearance and Shape
+Computer Vision and
+Multimodal Computing
+MPI Informatics
+Saarbrücken, Germany
+Leonid Pishchulin
+Arjun Jain
+Christian Wojek
+Thorsten Thormählen
+Bernt Schiele"

+498fd231d7983433dac37f3c97fb1eafcf065268,Linear Disentangled Representation Learning for Facial Actions,"LINEAR DISENTANGLED REPRESENTATION LEARNING FOR FACIAL ACTIONS
+Xiang Xiang1 and Trac D. Tran2
+Dept. of Computer Science
+Dept. of Electrical & Computer Engineering
+Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218, USA
+Fig. 1. The separability of the neutral face yn and expression
+omponent ye. We find yn is better for identity recognition
+than y and ye is better for expression recognition than y."

+49e1aa3ecda55465641b2c2acc6583b32f3f1fc6,Support Vector Machine for age classification,"International Journal of Emerging Technology and Advanced Engineering
+Website: www.ijetae.com (ISSN 2250-2459, Volume 2, Issue 5, May 2012)
+Support Vector Machine for age classification
+Sangeeta Agrawal1, Rohit Raja2, Sonu Agrawal3
+Assistant Professor, CSE, RSR RCET, Kohka Bhilai
+,3 Sr. Assistant Professor, CSE, SSCET, Junwani Bhilai"

+491cf4d86ed895000a35ba96f46261984c0bdf7c,Facial Expression Recognition for Domestic Service Robots,"Facial Expression Recognition for Domestic
+Service Robots
+Geovanny Giorgana and Paul G. Ploeger
+Bonn-Rhein-Sieg University of Applied Sciences,
+Grantham-Allee 20 53757 Sankt Augustin, Germany"

+490a0b6ff5b982e884622bb9c81250f05c069f32,Template Aging in 3 D and 2 D Face Recognition,"Template Aging in 3D and 2D Face Recognition
+Ishan Manjani∗
+Hakki Sumerkan†
+Patrick J. Flynn†
+Kevin W. Bowyer†"

+4991dcef497ddd7ea115663985a9e0635494a95d,Detecting Group Activities With Multi-Camera Context,"Detecting Group Activities With
+Multi-Camera Context
+Zheng-Jun Zha, Member, IEEE, Hanwang Zhang, Meng Wang, Member, IEEE, Huanbo Luan, and Tat-Seng Chua"

+49d7fd8975413fb2912e111093749733712210dd,Vpliv kakovosti vhodnih slik na zanesljivost samodejnega razpoznavanja obrazov,"Elektrotehniški vestnik 74(3): 145-150, 2007
+Electrotechnical Review: Ljubljana, Slovenija
+Vpliv kakovosti vhodnih slik na zanesljivost samodejnega
+razpoznavanja obrazov
+Vitomir Štruc, Nikola Paveši(cid:29)
+Univerza v Ljubljani, Fakulteta za elektrotehniko, Tržaška 25, 1001 Ljubljana, Slovenija
+E-pošta:
+Povzetek.  Zanesljivost  samodejnega  razpoznavanja  obrazov  je  odvisna  od  številnih  dejavnikov,  med  katerimi  so
+najpomembnejši  natan(cid:24)nost  dolo(cid:24)itve  slikovnega  obmo(cid:24)ja  obraza  in  njegova  odpornost  na  slabšo  kakovost  slik,
+izbira ustreznega postopka izpeljave obraznih zna(cid:24)ilk ter  uporaba primernega algoritma za izra(cid:24)un podobnosti in
+sprejetje  odlo(cid:24)itve  o  identiteti  osebe.  V  (cid:24)lanku  predstavljamo  rezultate  vrednotenja  napak,  ki  jih  v  biometri(cid:24)ni
+sistem  vnašajo  razli(cid:24)ne  degradacije  vhodnih  slik.  Njihov  vpliv  smo  prou(cid:24)ili  za  tri  na  podro(cid:24)ju  razpoznavanja
+obrazov  pogosteje  uporabljene  postopke  izpeljave  zna(cid:24)ilk  (analizo  glavnih  komponent  –  PCA,  analizo  linearne
+diskriminante  –  LDA  ter  analizo  neodvisnih  komponent  –  ICA),  pri  (cid:24)emer  smo  za  dolo(cid:24)itev  zanesljivosti
+razpoznavanja (verifikacije) uporabili bazo XM2VTS; za ovrednotenje napak, ki jih v biometri(cid:24)ni sistem vnašajo
+spremembe v kakovosti slik, pa njene degradirane razli(cid:24)ice.
+Klju ne  besede:  razpoznavanje  obrazov,  analiza  glavnih  komponent,  analiza  linearne  diskriminante,  analiza
+neodvisnih komponent, zanesljivost razpoznavanja, kakovost vhodnih slik
+Impact of image degradations on the face recognition accuracy"

+49df381ea2a1e7f4059346311f1f9f45dd997164,Client-Specific Anomaly Detection for Face Presentation Attack Detection,"On the Use of Client-Specific Information for Face
+Presentation Attack Detection Based on Anomaly
+Detection
+Shervin Rahimzadeh Arashloo and Josef Kittler,"

+496074fcbeefd88664b7bd945012ca22615d812e,Driver Distraction Using Visual-Based Sensors and Algorithms,"Review
+Driver Distraction Using Visual-Based Sensors
+nd Algorithms
+Alberto Fernández 1,*, Rubén Usamentiaga 2, Juan Luis Carús 1 and Rubén Casado 2
+Grupo TSK, Technological Scientific Park of Gijón, 33203 Gijón, Asturias, Spain;
+Department of Computer Science and Engineering, University of Oviedo, Campus de Viesques, 33204 Gijón,
+Asturias, Spain; (R.U.); (R.C.)
+* Corrospondence: Tel.: +34-984-29-12-12; Fax: +34-984-39-06-12
+Academic Editor: Gonzalo Pajares Martinsanz
+Received: 14 July 2016; Accepted: 24 October 2016; Published: 28 October 2016"

+40205181ed1406a6f101c5e38c5b4b9b583d06bc,Using Context to Recognize People in Consumer Images,"Using Context to Recognize People in Consumer Images
+Andrew C. Gallagher and Tsuhan Chen"

+40dab43abef32deaf875c2652133ea1e2c089223,Facial Communicative Signals: valence recognition in task-oriented human-robot Interaction,"Noname manuscript No.
+(will be inserted by the editor)
+Facial Communicative Signals
+Valence Recognition in Task-Oriented Human-Robot Interaction
+Christian Lang · Sven Wachsmuth · Marc Hanheide · Heiko Wersing
+Received: date / Accepted: date"

+403b3d0594989629c95e5bc5230d4ccb1691f255,Automatic detection of pain from spontaneous facial expressions,"Meawad, F., Yang, S.-Y. and Loy, F. L. (2017) Automatic Detection of
+Pain from Spontaneous Facial Expressions. In: 19th ACM International
+Conference on Multimodal Interaction (ICMI 2017), Glasgow, Scotland,
+3-17 Nov 2017, pp. 397-401. ISBN 9781450355438
+(doi:10.1145/3136755.3136794)
+This is the author’s final accepted version.
+There may be differences between this version and the published version.
+You are advised to consult the publisher’s version if you wish to cite from
+http://eprints.gla.ac.uk/151491/
+Deposited on: 22 December 2017
+Enlighten – Research publications by members of the University of Glasgow
+http://eprints.gla.ac.uk"

+40ce2567ccc2552287f8a1c25e9f6086efa6bf8f,Identification and evaluation of children with autism spectrum disorders.,"CLINICAL REPORT
+Identification and Evaluation of
+Children With Autism Spectrum
+Disorders
+Chris Plauche´ Johnson, MD, MEd, Scott M. Myers, MD, and the Council on Children With Disabilities
+Guidance for the Clinician in Rendering
+Pediatric Care"

+40b0fced8bc45f548ca7f79922e62478d2043220,Do Convnets Learn Correspondence?,"Do Convnets Learn Correspondence?
+Trevor Darrell
+Jonathan Long
+{jonlong, nzhang,
+University of California – Berkeley
+Ning Zhang"

+405b43f4a52f70336ac1db36d5fa654600e9e643,What can we learn about CNNs from a large scale controlled object dataset?,"What can we learn about CNNs from a large scale controlled object dataset?
+Ali Borji
+Saeed Izadi
+Laurent Itti"

+40b86ce698be51e36884edcc8937998979cd02ec,Finding Faces in News Photos Using Both Face and Name Information,"Yüz ve İsim İlişkisi kullanarak Haberlerdeki Kişilerin Bulunması
+Finding Faces in News Photos Using Both Face and Name Information
+Derya Ozkan, Pınar Duygulu
+Bilgisayar Mühendisliği Bölümü, Bilkent Üniversitesi, 06800, Ankara
+Özetçe
+Bu  çalışmada,  haber  fotoğraflarından  oluşan  geniş  veri
+kümelerinde  kişilerin  sorgulanmasını  sağlayan  bir  yöntem
+sunulmuştur.  Yöntem  isim  ve  yüzlerin  ilişkilendirilmesine
+dayanmaktadır.  Haber  başlığında  kişinin  ismi  geçiyor  ise
+fotoğrafta da o kişinin yüzünün bulunacağı  varsayımıyla, ilk
+olarak  sorgulanan  isim  ile  ilişkilendirilmiş,  fotoğraflardaki
+tüm yüzler seçilir. Bu yüzler arasında sorgu kişisine ait farklı
+koşul,  poz  ve  zamanlarda  çekilmiş  pek  çok  resmin  yanında,
+haberde ismi geçen başka kişilere ait yüzler ya da kullanılan
+yüz  bulma  yönteminin  hatasından  kaynaklanan  yüz  olmayan
+resimler de bulunabilir. Yine de, çoğu  zaman, sorgu kişisine
+it resimler daha çok olup, bu resimler birbirine diğerlerine
+olduğundan  daha  çok  benzeyeceklerdir.  Bu  nedenle,  yüzler
+rasındaki  benzerlikler  çizgesel  olarak  betimlendiğinde  ,
+irbirine en çok benzeyen yüzler bu çizgede en yoğun bileşen"

+40a0e080a01094cdb2174e9154540c217d3f9440,Improved Security Aspects on Microsofts Two -layer Captcha,"Vol-2 Issue-5 2017
+IJARIIE-ISSN(O)-2395-4396
+IMPROVED SECURITY ASPECTS ON
+MICROSOFTS
+TWO -LAYER CAPTCHA
+Rachana.B.S, Dhruthi.S, Swarna.R, Chandan.A
+Rachana.B.S, Asst.Prof, ISE, APSCE, B’lore, Karnataka, INDIA
+Dhruthi S, Student, ISE,, APSCE, Karnataka, India
+Swarna R, Student, ISE, APSCE, Karnataka, India
+Chandana A, Student, ISE, APSCE, Karnataka, India"

+404c7839afe2fec48a06f83d2a532c05ad8ba0d3,Vehicle Classification using Transferable Deep Neural Network Features,"Vehicle Classification using Transferable Deep
+Neural Network Features
+Yiren Zhou, Ngai-Man Cheung"

+40041b80cef6dc23946ffa9628b6ac3b8dcc971a,Parallel Separable 3D Convolution for Video and Volumetric Data Understanding,"GONDA, WEI, PARAG, PFISTER: PARALLEL SEPARABLE 3D CONVOLUTION
+Parallel Separable 3D Convolution for Video
+nd Volumetric Data Understanding
+Harvard John A. Paulson School of
+Engineering and Applied Sciences
+Camabridge MA, USA
+Felix Gonda
+Donglai Wei
+Toufiq Parag
+Hanspeter Pfister"

+40f7ea135907d2f4abeae0475d9a88477239d504,Multimodal Explanations: Justifying Decisions and Pointing to the Evidence,"Multimodal Explanations: Justifying Decisions and Pointing to the Evidence
+Dong Huk Park1, Lisa Anne Hendricks1, Zeynep Akata2,3, Anna Rohrbach1,3,
+Bernt Schiele3, Trevor Darrell1, and Marcus Rohrbach4
+EECS, UC Berkeley, 2University of Amsterdam, 3MPI for Informatics, 4Facebook AI Research"

+402f6db00251a15d1d92507887b17e1c50feebca,3D Facial Action Units Recognition for Emotional Expression,"D Facial Action Units Recognition for Emotional
+Expression
+Norhaida Hussain1, Hamimah Ujir, Irwandi Hipiny and Jacey-Lynn Minoi2
+Department of Information Technology and Communication, Politeknik Kuching, Sarawak, Malaysia
+Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, Malaysia
+The  muscular  activities  caused  the  activation  of  certain  AUs  for  every  facial  expression  at  the  certain  duration  of  time
+throughout the facial expression. This paper presents the methods to recognise facial Action Unit (AU) using facial distance
+of the facial features which activates the muscles. The seven facial action units involved are AU1, AU4, AU6, AU12, AU15,
+AU17 and AU25 that characterises happy and sad expression. The recognition is performed on each AU according to rules
+defined based on the distance of each facial points. The facial distances chosen are extracted from twelve facial features.
+Then the facial distances are trained using Support Vector Machine (SVM) and Neural Network (NN). Classification result
+using SVM is presented with several different SVM kernels while result using NN is presented for each training, validation
+nd testing phase.
+Keywords: Facial action units recognition, 3D AU recognition, facial expression"

+40932ccdd7cda22e90c1e16b4a4dc4930b122a9c,Learning to Look around Objects for Top-View Representations of Outdoor Scenes,"Learning to Look around Objects for Top-View
+Representations of Outdoor Scenes
+Samuel Schulter1,† Menghua Zhai2,†
+Nathan Jacobs2
+Manmohan Chandraker1,3
+NEC-Labs1, Computer Science University of Kentucky2, UC San Diego3"

+4053e3423fb70ad9140ca89351df49675197196a,Robust Face Detection Using the Hausdorff Distance,"(cid:13) In Proc. Third International Conference on Audio- and Video-based
+Biometric Person Authentication, Springer, Lecture Notes in Computer
+Science, LNCS-2091, pp. 90–95, Halmstad, Sweden, 6–8 June 2001.
+Robust Face Detection
+Using the Hausdorff Distance
+Oliver Jesorsky, Klaus J. Kirchberg, and Robert W. Frischholz
+BioID AG, Berlin, Germany
+WWW home page: http://www.bioid.com"

+409220cf5137d6dc6c85f440d618e44d244f402e,Randomized Algorithms for Large-scale Strongly Over-determined Linear Regression Problems a Dissertation Submitted to the Institute for Computational and Mathematical Engineering and the Committee on Graduate Studies of Stanford University in Partial Fulfillment of the Requirements for the Degree Of,"RANDOMIZED ALGORITHMS FOR LARGE-SCALE STRONGLY
+OVER-DETERMINED LINEAR REGRESSION PROBLEMS
+A DISSERTATION
+SUBMITTED TO THE INSTITUTE FOR
+COMPUTATIONAL AND MATHEMATICAL ENGINEERING
+AND THE COMMITTEE ON GRADUATE STUDIES
+OF STANFORD UNIVERSITY
+IN PARTIAL FULFILLMENT OF THE REQUIREMENTS
+FOR THE DEGREE OF
+DOCTOR OF PHILOSOPHY
+Xiangrui Meng
+June 2014"

+406caefc7f51e8a16833402e4757704d5d84a1f8,Dual-Tree Complex Wavelets Transform Based Facial Expression Recognition using Principal Component Analysis ( PCA ) and Local Binary Pattern ( LBP ),"ISSN XXXX XXXX © 2017 IJESC
+Research Article                                                                                                                              Volume 7 Issue No.4
+Dual-Tree Complex Wavelets Transform Based Facial Expression
+Recognition using Principal Component Analysis (PCA) and Local
+Binary Pattern(LBP)
+Fahad Abdu Jibrin1, Abubakar Sadiq Muhammad2
+Department of Electrical Engineering1, Department of Computer Engineering2
+School of Technology, Kano State Polytechnic, Nigeria"

+40d4fab85e2e1557e61d03b92429d64c6efba101,Detection-based multi-human tracking using a CRF model,"Detection-Based Multi-Human Tracking Using a CRF Model
+Alexandre Heili1,2
+Jean-Marc Odobez1,2
+Idiap Research Institute – CH-1920 Martigny, Switzerland
+Cheng Chen1
+´Ecole Polytechnique F´ed´erale de Lausanne – CH-1015, Lausanne, Switzerland"

+40000b058cf80b7983a2c0f96562368a40a04580,Predicting human mobility through the assimilation of social media traces into mobility models,"Predicting human mobility through the assimilation of social media
+traces into mobility models
+Mariano G. Beir´o1
+Andr´e Panisson1
+Michele Tizzoni1
+Ciro Cattuto1
+ISI Foundation, Turin, Italy"

+40fb4e8932fb6a8fef0dddfdda57a3e142c3e823,A mixed generative-discriminative framework for pedestrian classification,"A Mixed Generative-Discriminative Framework for Pedestrian Classification
+Markus Enzweiler1
+Dariu M. Gavrila2,3
+Image & Pattern Analysis Group, Dept. of Math. and Comp. Sc., Univ. of Heidelberg, Germany
+Environment Perception, Group Research, Daimler AG, Ulm, Germany
+Intelligent Systems Lab, Faculty of Science, Univ. of Amsterdam, The Netherlands"

+40f5ae73e598114edab3ddaefc38fbdbf5c114b9,Optical Flow Based Face Recognition under Expression Variations,"International Journal of Information Science and Intelligent System,      3(2): 1-12,          2014
+Optical Flow Based Face Recognition under
+Expression Variations
+Vimala K1,∗, Dr.V.Kalaivani2, V.Anusuya Devi3
+1Assistant Professor, Department of CSE(PG),National Engineering College , Kovilpatti, India
+2  Associate Professor(SG) and Head, Department of CSE(PG),National Engineering College India ,
+Assistant Professor, Department of CSE(PG),National Engineering College, Kovilpatti, India"

+409ff083816d8357fe839e3ea0e62d648a5532aa,SEMDIAL 2016 JerSem Proceedings of the 20th Workshop on the Semantics and Pragmatics of Dialogue,"SEMDIAL 2016
+JerSem
+Proceedings of the 20th Workshop on
+the Semantics and Pragmatics of Dialogue
+Julie Hunter, Mandy Simons, and Matthew Stone (eds.)
+New Brunswick, NJ, 16–18 July 2016"

+40dd2b9aace337467c6e1e269d0cb813442313d7,Localizing spatially and temporally objects and actions in videos. (Localiser spatio-temporallement des objets et des actions dans des vidéos),"This thesis has been submitted in fulfilment of the requirements for a postgraduate degree
+(e.g. PhD, MPhil, DClinPsychol) at the University of Edinburgh. Please note the following
+terms and conditions of use:
+This work is protected by copyright and other intellectual property rights, which are
+retained by the thesis author, unless otherwise stated.
+A copy can be downloaded for personal non-commercial research or study, without
+prior permission or charge.
+This thesis cannot be reproduced or quoted extensively from without first obtaining
+permission in writing from the author.
+The content must not be changed in any way or sold commercially in any format or
+medium without the formal permission of the author.
+When referring to this work, full bibliographic details including the author, title,
+warding institution and date of the thesis must be given."

+40536b0cc73fda29a335c6ecf9ce891dcb6d04cd,Face Detection Algorithms: A Comparative Study,"Face Detection Algorithms: A Comparative Study
+Kapil Kumar Gupta1, M. Rizwan Beg 2 , Jitendra Kumar Niranjan3
+1 Department of Computer Science & Engg., Integral University,
+Lucknow, Uttar Pradesh, 226001, India
+Department of Computer Science & Engg., Integral University,
+Lucknow, Uttar Pradesh, 226001, India
+Department of Computer Science & Engg, IMS Engineering College
+Ghaziabad, Uttar Pradesh 201009, India"

+405a70c184e00eefcf797a0e842578ea0b51f6cd,Learning a Family of Detectors via Multiplicative Kernels,"This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.
+Learning a Family of Detectors
+via Multiplicative Kernels
+Quan Yuan, Member, IEEE, Ashwin Thangali, Student Member, IEEE,
+Vitaly Ablavsky, Student Member, IEEE, and Stan Sclaroff, Senior Member, IEEE"

+40c3b350008ada8f3f53a758e69992b6db8a8f95,Discriminative Decorrelation for Clustering and Classification,"Discriminative Decorrelation for Clustering and
+Classification￿
+Bharath Hariharan1, Jitendra Malik1, and Deva Ramanan2
+Univerisity of California at Berkeley, Berkeley, CA, USA
+University of California at Irvine, Irvine, CA, USA"

+40b87d3b1e3dbbc82fb7d786004fe202e131c045,Multi-modal Egocentric Activity Recognition using Audio-Visual Features,"Submitted to IEEE Transactions on Human-Machine Systems
+Multi-modal Egocentric Activity Recognition
+using Audio-Visual Features
+Mehmet Ali Arabacı, Fatih Özkan, Elif Surer, Peter Jančovič, Alptekin Temizel"

+40229a034d2fcddc3df32f906ec4ef6a3b3e017e,A semi-automated system for accurate gaze coding in natural dyadic interactions,"A Semi-Automated System for Accurate Gaze Coding
+in Natural Dyadic Interactions
+Kenneth A. Funes-Mora, Laurent Nguyen, Daniel Gatica-Perez, Jean-Marc Odobez
+Idiap Research Institute and École Polytechnique Fédérale de Lausanne (EPFL), Switzerland"

+40a34d4eea5e32dfbcef420ffe2ce7c1ee0f23cd,Bridging Heterogeneous Domains With Parallel Transport For Vision and Multimedia Applications,"Bridging Heterogeneous Domains With Parallel Transport For Vision and
+Multimedia Applications
+Raghuraman Gopalan
+Dept. of Video and Multimedia Technologies Research
+AT&T Labs-Research
+San Francisco, CA 94108"

+40389b941a6901c190fb74e95dc170166fd7639d,Automatic Facial Expression Recognition,"Automatic Facial Expression Recognition
+Jacob Whitehill, Marian Stewart Bartlett, and Javier R. Movellan
+Emotient
+http://emotient.com
+February 12, 2014
+Imago animi vultus est, indices oculi. (Cicero)
+Introduction
+The face is innervated by two different brain systems that compete for control of its muscles:
+cortical brain system related to voluntary and controllable behavior, and a sub-cortical
+system responsible for involuntary expressions. The interplay between these two systems
+generates a wealth of information that humans constantly use to read the emotions, inten-
+tions, and interests [25] of others.
+Given the critical role that facial expressions play in our daily life, technologies that can
+interpret and respond to facial expressions automatically are likely to find a wide range of
+pplications. For example, in pharmacology, the effect of new anti-depression drugs could
+e assessed more accurately based on daily records of the patients’ facial expressions than
+sking the patients to fill out a questionnaire, as it is currently done [7]. Facial expression
+recognition may enable a new generation of teaching systems to adapt to the expression
+of their students in the way good teachers do [61]. Expression recognition could be used
+to assess the fatigue of drivers and air-pilots [58, 59]. Daily-life robots with automatic"

+401f056e1017151018e83d2b13b5eaec573b4dbc,Rapid and accurate face depth estimation in passive stereo systems,"Noname manuscript No.
+(will be inserted by the editor)
+Rapid and accurate face depth estimation in passive
+stereo systems
+Amel AISSAOUI · Jean MARTINET ·
+Chaabane DJERABA
+Received: date / Accepted: date"

+40010e1918e1f342b14c8ec74e570101f07471b2,Flower Categorization using Deep Convolutional Neural Networks,"Flower Categorization using Deep Convolutional Neural Networks
+Ayesha Gurnani
+Viraj Mavani
+Vandit Gajjar
+Yash Khandhediya
+L. D. College of Engineering
+L. D. College of Engineering
+L. D. College of Engineering
+L. D. College of Engineering"

+40a63746a710baf4a694fd5a4dd8b5a3d9fc2846,Invertible Conditional GANs for image editing,"Invertible Conditional GANs for image editing
+Guim Perarnau, Joost van de Weijer, Bogdan Raducanu
+Computer Vision Center
+Barcelona, Spain
+Jose M. Álvarez
+Data61 CSIRO
+Canberra, Australia"

+40377a1bc15a9ec28ea54cc53d5cf0699365634f,Некооперативная Биометрическая Идентификация По 3d- Моделям Лица С Использованием Видеокамер Высокого Разрешения,"НЕКООПЕРАТИВНАЯ БИОМЕТРИЧЕСКАЯ ИДЕНТИФИКАЦИЯ ПО 3D-
+МОДЕЛЯМ ЛИЦА С ИСПОЛЬЗОВАНИЕМ ВИДЕОКАМЕР ВЫСОКОГО
+РАЗРЕШЕНИЯ
+А.И. Манолов,  А.Ю. Соколов,  О.В. Степаненко, А.C. Тумачек, А.В.Тяхт, А. К. Цискаридзе,
+Д.Н. Заварикин, А.А. Кадейшвили,
+Компания Vocord
+Аннотация
+Получены результаты по распознаванию лиц, основанные
+на   3D  реконструкции   без   использования   какой-либо
+структурированной подсветки. 3D реконструкция основана
+на   использовании   камер   высокого   разрешения.
+Вероятность распознавания составляет 92-98%.
+Ключевые   слова:   3D  реконструкция,   3D  распознавание
+. ВВЕДЕНИЕ
+Системам распознавания лиц, основанным на двумерных
+изображениях,  присущи  определенные  недостатки. Такие
+системы   чувствительны   к   изменениям   яркости.   Свет,
+собранный   с   лица,   является   функцией   геометрии   лица,
+отражательной   способности   лица,   свойствами   источника
+света и свойствами камеры. С учетом этого, сложно создать"

+40b10e330a5511a6a45f42c8b86da222504c717f,Implementing the Viola-Jones Face Detection Algorithm,"Implementing the Viola-Jones
+Face Detection Algorithm
+Ole Helvig Jensen
+Kongens Lyngby 2008
+IMM-M.Sc.-2008-93"

+400aa5cb2fec558f7827c3638993bae34752ff31,Assessing post-detection filters for a generic pedestrian detector in a tracking-by-detection scheme,"(cid:13)2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including
+reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists,
+or reuse of any copyrighted component of this work in other works.
+Assessing Post-Detection Filters for a Generic Pedestrian Detector in a
+Tracking-By-Detection Scheme
+Volker Eiselein, Erik Bochinski and Thomas Sikora
+Communication Systems Group, Technische Universit¨at Berlin"

+40ca925befa1f7e039f0cd40d57dbef6007b4416,Sampling Matters in Deep Embedding Learning,"Sampling Matters in Deep Embedding Learning
+Chao-Yuan Wu∗
+UT Austin
+R. Manmatha
+A9/Amazon
+Alexander J. Smola
+Amazon
+Philipp Kr¨ahenb¨uhl
+UT Austin"

+4026dc62475d2ff2876557fc2b0445be898cd380,An Affective User Interface Based on Facial Expression Recognition and Eye-Gaze Tracking,"An Affective User Interface Based on Facial Expression
+Recognition and Eye-Gaze Tracking
+Soo-Mi Choi and Yong-Guk Kim
+School of Computer Engineering, Sejong University, Seoul, Korea"

+40f2b3af6b55efae7992996bd0c474a9c1574008,xytocin Increases Retention of Social Cognition n Autism,"ARTICLE  IN  PRESS
+Oxytocin Increases Retention of Social Cognition
+in Autism
+Eric Hollander, Jennifer Bartz, William Chaplin, Ann Phillips, Jennifer Sumner, Latha Soorya,
+Evdokia Anagnostou, and Stacey Wasserman
+Background: Oxytocin dysfunction might contribute to the development of social deficits in autism, a core symptom domain and
+potential target for intervention. This study explored the effect of intravenous oxytocin administration on the retention of social
+information in autism.
+Methods: Oxytocin and placebo challenges were administered to 15 adult subjects diagnosed with autism or Asperger’s disorder, and
+omprehension of affective speech (happy, indifferent, angry, and sad) in neutral content sentences was tested.
+Results: All subjects showed improvements in affective speech comprehension from pre- to post-infusion; however, whereas those who
+received placebo first tended to revert to baseline after a delay, those who received oxytocin first retained the ability to accurately assign
+emotional significance to speech intonation on the speech comprehension task.
+Conclusions: These results are consistent with studies linking oxytocin to social recognition in rodents as well as studies linking
+oxytocin to prosocial behavior in humans and suggest that oxytocin might facilitate social information processing in those with autism.
+These findings also provide preliminary support for the use of oxytocin in the treatment of autism.
+Key Words: Autism, oxytocin, neuropeptide, social cognition,
+ffective speech
+A utism is a developmental disorder characterized by ab-
+normalities in speech and communication, impaired so-"

+40f127fa4459a69a9a21884ee93d286e99b54c5f,Optimizing Apparent Display Resolution Enhancement for Arbitrary Videos,"Optimizing Apparent Display Resolution
+Enhancement for Arbitrary Videos
+Michael Stengel*, Member, IEEE, Martin Eisemann, Stephan Wenger,
+Benjamin Hell, Marcus Magnor, Member, IEEE"

+401e6b9ada571603b67377b336786801f5b54eee,Active Image Clustering: Seeking Constraints from Humans to Complement Algorithms,"Active Image Clustering: Seeking Constraints from
+Humans to Complement Algorithms
+November 22, 2011"

+40248cd4a742cb33c14e835fe6b847ad3f8d5b96,Learning View-Specific Deep Networks for Person Re-Identification,"Learning View-Specific Deep Networks for Person
+Re-Identification
+Zhanxiang Feng, Jianhuang Lai, and Xiaohua Xie"

+403e7fed4fa1785af8309b1c4c736d98fa75be5b,Social status gates social attention in monkeys,"Magazine
+Social status
+gates social
+ttention in
+monkeys
+Stephen V. Shepherd1,
+Robert O. Deaner1 and
+Michael L. Platt1,2,3
+Humans rapidly shift attention in
+the direction other individuals are
+looking, following gaze in a
+manner suggestive of an
+obligatory social reflex [1–4].
+Monkeys’ attention also follows
+gaze, and the similar magnitude
+nd time-course of gaze-
+following in rhesus macaques and
+humans [5] is indicative of shared
+neural mechanisms. Here we
+show that low-status male rhesus"

+40f6c9355dbf01a240b4c26b0fd00b5cfbd5f67d,An eye-tracking method to reveal the link between gazing patterns and pragmatic abilities in high functioning autism spectrum disorders,"ORIGINAL RESEARCH ARTICLE
+published: 14 January 2015
+doi: 10.3389/fnhum.2014.01067
+An eye-tracking method to reveal the link between gazing
+patterns and pragmatic abilities in high functioning autism
+spectrum disorders
+Ouriel Grynszpan 1* and Jacqueline Nadel 2
+Institut des Systèmes Intelligents et de Robotique (ISIR), Université Pierre et Marie Curie, Centre National de la Recherche Scientifique, Paris, France
+Centre Emotion, Hôpital de La Salpêtrière, Paris, France
+Edited by:
+John J. Foxe, Albert Einstein
+College of Medicine, USA
+Reviewed by:
+Hans-Peter Frey, Albert Einstein
+College of Medicine, USA
+Julia Irwin, Haskins Laboratories,
+Karri Gillespie-Smith, University of
+West of Scotland, UK
+*Correspondence:
+Ouriel Grynszpan, Institut des"

+40bd5d4b01c89e84fe2b0f6b1cc22657bf4e8d80,Toward Unconstrained Fingerprint Recognition: A Fully Touchless 3-D System Based on Two Views on the Move,"Toward Unconstrained Fingerprint Recognition:
+Fully Touchless 3-D System
+Based on Two Views on the Move
+Ruggero Donida Labati, Member, IEEE, Angelo Genovese, Member, IEEE,
+Vincenzo Piuri, Fellow, IEEE, and Fabio Scotti, Senior Member, IEEE"

+2eef20a11324686099ee6f9b1a7613444b0d2112,Dual-Path Convolutional Image-Text Embedding with Instance Loss,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Dual-Path Convolutional Image-Text Embeddings
+with Instance Loss
+Zhedong Zheng, Liang Zheng, Michael Garrett, Yi Yang, Yi-Dong Shen"

+2e53a5dbadfd30b834feea80c365ffff3925eb76,The role of alexithymia in reduced eye-fixation in Autism Spectrum Conditions.,"23Journal of Autism andDevelopmental Disorders ISSN 0162-3257Volume 41Number 11 J Autism Dev Disord (2011)41:1556-1564DOI 10.1007/s10803-011-1183-3The Role of Alexithymia in Reduced Eye-Fixation in Autism Spectrum ConditionsGeoffrey Bird, Clare Press & DanielC. Richardson"

+2e8e6b835e5a8f55f3b0bdd7a1ff765a0b7e1b87,Pointly-Supervised Action Localization,"International Journal of Computer Vision manuscript No.
+(will be inserted by the editor)
+Pointly-Supervised Action Localization
+Pascal Mettes · Cees G. M. Snoek
+Received: date / Accepted: date"

+2e10560579f2bdeae0143141f26bd9f0a195b4b7,Mixed Precision Training,"Published as a conference paper at ICLR 2018
+MIXED PRECISION TRAINING
+Sharan Narang∗, Gregory Diamos, Erich Elsen†
+Baidu Research
+{sharan,
+Paulius Micikevicius∗, Jonah Alben, David Garcia, Boris Ginsburg, Michael Houston,
+Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu
+NVIDIA
+{pauliusm, alben, dagarcia, bginsburg, mhouston,
+okuchaiev, gavenkatesh,"

+2eb37a3f362cffdcf5882a94a20a1212dfed25d9,Local Feature Based Face Recognition,"Local Feature Based Face Recognition
+Sanjay A. Pardeshi and Sanjay N. Talbar
+R.I.T., Rajaramnagar and S.G.G.S. COE &T, Nanded
+India
+. Introduction
+A  reliable  automatic  face  recognition  (AFR)  system  is  a  need  of  time  because  in  today's
+networked  world,  maintaining  the  security  of  private  information  or  physical  property  is
+ecoming increasingly important and difficult as well. Most of the time criminals have been
+taking  the  advantage  of  fundamental  flaws  in  the  conventional  access  control  systems  i.e.
+the systems operating on credit card, ATM etc. do not grant access by ""who we are"", but by
+""what  we  have”.  The  biometric  based  access  control systems  have  a  potential  to  overcome
+most  of  the  deficiencies  of  conventional  access  control  systems  and  has  been  gaining  the
+importance  in  recent  years.  These  systems  can  be  designed  with  biometric  traits  such  as
+fingerprint,  face,  iris,  signature,  hand  geometry  etc.  But  comparison  of  different  biometric
+traits shows that face is very attractive biometric because of its non-intrusiveness and social
+cceptability.  It  provides  automated  methods  of  verifying  or  recognizing  the  identity  of  a
+living person based on its facial characteristics.
+In last decade, major advances occurred in face recognition, with many systems capable of
+chieving  recognition  rates  greater  than  90%.  However  real-world  scenarios  remain  a
+hallenge, because face acquisition process can undergo to a wide range of variations. Hence"

+2e0481def73dbd3e6dfb447c1c3c8afdfaf9b7ec,UPC System for the 2015 MediaEval Multimodal Person Discovery in Broadcast TV task,"UPC System for the 2015 MediaEval Multimodal Person
+Discovery in Broadcast TV task
+M. India, D. Varas, V. Vilaplana, J.R. Morros, J. Hernando
+Universitat Politecnica de Catalunya, Spain"

+2e5cfa97f3ecc10ae8f54c1862433285281e6a7c,Generative Adversarial Networks for Improving Face Classification,"Generative Adversarial Networks for Improving Face Classification  JONAS NATTEN SUPERVISOR Morten Goodwin, PhD University of Agder, 2017 Faculty of Engineering and Science Department of ICT"

+2e091b311ac48c18aaedbb5117e94213f1dbb529,Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets,"Collaborative Facial Landmark Localization
+for Transferring Annotations Across Datasets
+Brandon M. Smith and Li Zhang
+University of Wisconsin – Madison
+http://www.cs.wisc.edu/~lizhang/projects/collab-face-landmarks/"

+2e1415a814ae9abace5550e4893e13bd988c7ba1,Dictionary Based Face Recognition in Video Using Fuzzy Clustering and Fusion,"International Journal of Engineering Trends and Technology (IJETT) – Volume 21 Number 3 – March 2015
+Dictionary Based Face Recognition in Video Using
+Fuzzy Clustering and Fusion
+Neeraja K.C.#1, RameshMarivendan E.#2,
+#1IInd year M.E. Student, #2Assistant Professor
+#1#2ECE Department, Dhanalakshmi Srinivasan College of Engineering,
+Coimbatore,Tamilnadu,India.
+Anna University."

+2eefaa9c278346b9e0eb51085cff490b0a43688f,TEMPO: Feature-Endowed Teichmüller Extremal Mappings of Point Clouds,"Vol. 9, No. 4, pp. 1922–1962
+(cid:13) 2016 Society for Industrial and Applied Mathematics
+TEMPO: Feature-Endowed Teichm¨uller Extremal Mappings of Point Clouds∗
+Ting Wei Meng† , Gary Pui-Tung Choi‡ , and Lok Ming Lui†"

+2ea8029283e6bbb03c023070d042cb19647f06af,Neurobiological mechanisms associated with facial affect recognition deficits after traumatic brain injury,"Neurobiological mechanisms associated with facial affect recognition deficits after
+traumatic brain injury
+Dawn Neumann, PhD
+Indiana University School of Medicine
+Department of Physical Medicine and Rehabilitation
+Rehabilitation Hospital of Indiana
+141 Shore Drive
+Indianapolis, IN 46254
+Email:
+Phone: 317-329-2188
+Brenna C. McDonald, PsyD, MBA
+Indiana University School of Medicine
+Department of Radiology and Imaging Sciences
+Indiana University Center for Neuroimaging
+55 W. 16th St., GH Suite 4100
+Indianapolis, IN 46202
+Email:
+John West, MS
+Indiana University School of Medicine
+Department of Radiology and Imaging Sciences"

+2e68190ebda2db8fb690e378fa213319ca915cf8,Generating Videos with Scene Dynamics,"Generating Videos with Scene Dynamics
+Carl Vondrick
+Hamed Pirsiavash
+Antonio Torralba"

+2e0d56794379c436b2d1be63e71a215dd67eb2ca,Improving precision and recall of face recognition in SIPP with combination of modified mean search and LSH,"Improving precision and recall of face recognition in SIPP with combination of
+modified mean search and LSH
+Xihua.Li"

+2ed9a69ee6509c0b3fe5a51d1116dccc877653ba,Reconstruction and Analysis of Shapes from 3D Scans,"Reconstruction and Analysis
+of Shapes from 3D Scans"

+2e7874ec37df91db1934d61d9e1181de5e4efb36,COCO-Stuff: Thing and Stuff Classes in Context,"COCO-Stuff: Thing and Stuff Classes in Context
+Holger Caesar1
+Jasper Uijlings2 Vittorio Ferrari1 2
+University of Edinburgh1 Google AI Perception2"

+2e585adbe1f434396ca6a669dd91914d4d4bf42a,Early Prediction for Physical Human Robot Collaboration in the Operating Room,"TO APPEAR IN AUTONOMOUS ROBOTS, SPECIAL ISSUE IN LEARNING FOR HUMAN-ROBOT COLLABORATION
+Early Prediction for Physical Human Robot
+Collaboration in the Operating Room
+Tian Zhou, Student Member, IEEE, and Juan Wachs, Member, IEEE"

+2edf55ebc88e89c4caff0c49c6b8e79f46407d19,Pruning Deep Neural Networks using Partial Least Squares,"Pruning Deep Neural Networks using Partial Least Squares
+Artur Jordao, Ricardo Kloss∗, Fernando Yamada and William Robson Schwartz
+Smart Sense Laboratory, Computer Science Department
+Universidade Federal de Minas Gerais, Brazil
+Email: {arturjordao, rbk, fernandoakio,"

+2e1ff08fb5790e3b5ba7864408628467795a9df4,Human Pose Estimation with Fields of Parts,"Human Pose Estimation
+with Fields of Parts
+Martin Kiefel and Peter Vincent Gehler
+Max Planck Institute for Intelligent Systems, T¨ubingen Germany"

+2e1822bf06d80f5ad07a79a4bfff98c1c18fb573,Knowing who to listen to: Prioritizing experts from a diverse ensemble for attribute personalization,"KNOWING WHO TO LISTEN TO: PRIORITIZING EXPERTS FROM A DIVERSE
+ENSEMBLE FOR ATTRIBUTE PERSONALIZATION
+Shrenik Lad1, Bernardino Romera Paredes2, Julien Valentin2, Philip Torr2, Devi Parikh1
+. Virginia Tech 2. University of Oxford"

+2e475f1d496456831599ce86d8bbbdada8ee57ed,Groupsourcing: Team Competition Designs for Crowdsourcing,"Groupsourcing: Team Competition Designs for
+Crowdsourcing
+Markus Rokicki, Sergej Zerr, Stefan Siersdorfer
+L3S Research Center, Hannover, Germany"

+2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e,3DPeS: 3D people dataset for surveillance and forensics,"DPeS: 3D People Dataset for Surveillance and Forensics
+Davide Baltieri, Roberto Vezzani, Rita Cucchiara
+{davide.baltieri, roberto.vezzani, rita.cucchiara}
+University of Modena and Reggio Emilia, Italy  (Dipartimento di Ingegneria dell’Informazione)
+A new Dataset for People
+Tracking and Reidentification
+600 videos, 200 people, 8 cameras
+Calibration and 3D scene reconstruction
+taken
+The  dataset  contains  hundreds  of  video  sequences  of
+from  a  multi-camera  distributed
+00  people
+surveillance system over several days, with different light
+onditions;  each  person  is  detected  multiple  times  and
+from different points of view.
+The dataset
+The  starting  point  of  our  dataset  is  a  real
+surveillance  setup,  composed  by  8  different
+surveillance cameras, monitoring a section of the
+ampus  of  the  University  of  Modena  and  Reggio"

+2ef51b57c4a3743ac33e47e0dc6a40b0afcdd522,Leveraging Billions of Faces to Overcome Performance Barriers in Unconstrained Face Recognition,"Leveraging Billions of Faces to Overcome
+Performance Barriers in Unconstrained Face
+Recognition
+Yaniv Taigman and Lior Wolf
+face.com
+{yaniv,"

+2efc4eee3953f6b52e23989bbcc2598a91e18ba0,External Cameras and a Mobile Robot for Enhanced Multi-person Tracking,"RFAntennas2D SICKLaserFirewire Cameraon PTU        LaptopCamera 1Flea RGB Camera 2Flea RGBHubFirewireFigure1:Perceptualplatform;staticcameras(withroughpositionsandfieldsofview)andthemobilerobotRackham.Thispaperisstructuredasfollows:architectureofthecooperativesystemispresentedinsection2.Sec-tion3describesthedifferentdetectionmodalitiesthatdrivethemulti-persontracker(presentedinsection4).Evaluationsandresultsarepresentedinsection5fol-lowedbyconcludingremarksinsection6.2ARCHITECTUREOurcooperativeframeworkismadeupofamobilerobotandtwofixedviewwall-mountedRGBflea2cameras(figure1).Thecamerashaveamaximumres-olutionof640x480pixelsandareconnectedtoadual-coreIntelCentrinoLaptopviaafire-wirecable.Therobot,calledRackham,isaniRobotB21rmobileplat-form.Ithasvarioussensors,ofwhichitsSICKLaserRangeFinder(LRF)isutilizedinthiswork.Commu-nicationbetweenthemobilerobotandthecomputer"

+2e956e178fd50ab140f30f9255a83d853c8be210,Robust Facial Expression Recognition via Compressive Sensing,"Sensors 2012, 12, 3747-3761; doi:10.3390/s120303747
+OPEN ACCESS
+sensors
+ISSN 1424-8220
+www.mdpi.com/journal/sensors
+Article
+Robust Facial Expression Recognition via Compressive Sensing
+Shiqing Zhang 1, Xiaoming Zhao 2,* and Bicheng Lei 1
+School of Physics and Electronic Engineering, Taizhou University, Taizhou 318000, China;
+E-Mails: (S.Z.); (B.L.)
+Department of Computer Science, Taizhou University, Taizhou 318000, China
+*  Author to whom correspondence should be addressed; E-Mail:
+Tel./Fax: +86-576-8513-7178.
+Received: 28 December 2011; in revised form: 19 February 2012 / Accepted: 16 March 2012 /
+Published: 21 March 2012"

+2e082232eb37c98052e62eec76e674a491082544,Virtual Scenarios: Achievements and Current Work,"Virtual Scenarios: Achievements and Current Work
+Javier Mar´ın, David V´azquez and Antonio M. L´opez
+ADAS, Computer Vision Center, Universitat Autonoma de Barcelona, Spain
+e-mail:{ jmarin, dvazquez, antonio"

+2eae02d59a3f455f3714ce674d85d3f073c9d7a2,All in the first glance: first fixation predicts individual differences in valence bias.,"Cognition and Emotion
+ISSN: 0269-9931 (Print) 1464-0600 (Online) Journal homepage: http://www.tandfonline.com/loi/pcem20
+All in the first glance: first fixation predicts
+individual differences in valence bias
+Maital Neta, Tien T. Tong, Monica L. Rosen, Alex Enersen, M. Justin Kim &
+Michael D. Dodd
+To cite this article: Maital Neta, Tien T. Tong, Monica L. Rosen, Alex Enersen, M. Justin Kim &
+Michael D. Dodd (2016): All in the first glance: first fixation predicts individual differences in
+valence bias, Cognition and Emotion, DOI: 10.1080/02699931.2016.1152231
+To link to this article:  http://dx.doi.org/10.1080/02699931.2016.1152231
+View supplementary material
+Published online: 10 Mar 2016.
+Submit your article to this journal
+View related articles
+View Crossmark data
+Full Terms & Conditions of access and use can be found at
+http://www.tandfonline.com/action/journalInformation?journalCode=pcem20
+Download by: [University of Nebraska, Lincoln]
+Date: 10 March 2016, At: 09:04"

+2ed4973984b254be5cba3129371506275fe8a8eb,Victoria Ovsyannikova THE EFFECTS OF MOOD ON EMOTION RECOGNITION AND ITS RELATIONSHIP WITH THE GLOBAL VS LOCAL INFORMATION PROCESSING,"Victoria Ovsyannikova
+THE EFFECTS OF MOOD ON
+EMOTION RECOGNITION AND
+ITS RELATIONSHIP WITH THE
+GLOBAL VS LOCAL
+INFORMATION PROCESSING
+STYLES
+BASIC RESEARCH PROGRAM
+WORKING PAPERS
+SERIES: PSYCHOLOGY
+WP BRP 60/PSY/2016
+This Working Paper is an output of a research project implemented at the National Research
+University Higher School of Economics (HSE). Any opinions or claims contained in this
+Working Paper do not necessarily reflect the views of HSE"

+2e9c780ee8145f29bd1a000585dd99b14d1f5894,Simultaneous Adversarial Training - Learn from Others Mistakes,"Simultaneous Adversarial Training - Learn from
+Others’ Mistakes
+Zukang Liao
+Lite-On Singapore Pte. Ltd, 2Imperial College London"

+2ebc35d196cd975e1ccbc8e98694f20d7f52faf3,Towards Wide-angle Micro Vision Sensors,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.
+IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
+Towards Wide-angle Micro Vision Sensors
+Sanjeev J. Koppal*
+Ioannis Gkioulekas* Travis Young+ Hyunsung Park*
+Kenneth B. Crozier* Geoffrey L. Barrows+ Todd Zickler*"

+2ea46531f7d837c1e4b9e6a8d8fc084c6e526545,Just Look at the Image: Viewpoint-Specific Surface Normal Prediction for Improved Multi-View Reconstruction,"Just look at the image: viewpoint-specific surface normal prediction
+for improved multi-view reconstruction
+Silvano Galliani
+Konrad Schindler
+Photogrammetry and Remote Sensing, ETH Zurich"

+2e927d0a2dc4b69fc03124ad876329b22a61f1b0,Temporal Reasoning in Videos using Convolutional Gated Recurrent Units,"Temporal Reasoning in Videos using Convolutional Gated Recurrent Units
+Debidatta Dwibedi∗
+Pierre Sermanet
+Jonathan Tompson
+Google Brain
+{debidatta, sermanet,"

+2ec393b4fa5739c54ac9f61e583f5e41cfb2687c,Face Recognition using Spherical Wavelets,"Face Recognition using Spherical Wavelets
+Christian Lessig∗"

+2e55fd3f5138e55250aed84a7dc17adfc34970d3,The implications of social neuroscience for social disability.,"J Autism Dev Disord (2012) 42:1256–1262
+DOI 10.1007/s10803-012-1514-z
+O R I G I N A L P A P E R
+The Implications of Social Neuroscience for Social Disability
+James C. McPartland • Kevin A. Pelphrey
+Published online: 29 March 2012
+Ó Springer Science+Business Media, LLC 2012"

+2ea78e128bec30fb1a623c55ad5d55bb99190bd2,Residual vs. Inception vs. Classical Networks for Low-Resolution Face Recognition,"Residual vs. Inception vs. Classical Networks for
+Low-Resolution Face Recognition
+Christian Herrmann1,2, Dieter Willersinn2, and J¨urgen Beyerer1,2
+Vision and Fusion Lab, Karlsruhe Institute of Technology KIT, Karlsruhe, Germany
+Fraunhofer IOSB, Karlsruhe, Germany
+{christian.herrmann,dieter.willersinn,"

+2e0f5e72ad893b049f971bc99b67ebf254e194f7,Apparel Classification with Style,"Apparel Classification with Style
+Lukas Bossard1, Matthias Dantone1, Christian Leistner1,2,
+Christian Wengert1,3, Till Quack3, Luc Van Gool1,4
+ETH Z¨urich, Switzerland 2Microsoft, Austria 3Kooaba AG, Switzerland
+KU Leuven, Belgium"

+2e491c8e3d1d3314ea5e50943c0bdf2aa57b99b7,Weighted joint sparse representation-based classification method for robust alignment-free face recognition,"Downloaded From: https://www.spiedigitallibrary.org/journals/Journal-of-Electronic-Imaging on 12/17/2017 Terms of Use: https://www.spiedigitallibrary.org/terms-of-use
+Weightedjointsparserepresentation-basedclassificationmethodforrobustalignment-freefacerecognitionBoSunFengXuGuoyanZhouJunHeFengxiangGe"

+2ec7d6a04c8c72cc194d7eab7456f73dfa501c8c,A R Eview on T Exture B Ased E Motion R Ecognition from F Acial E Xpression,"International Journal of Scientific Research and Management Studies (IJSRMS)
+ISSN: 2349-3771
+Volume 3 Issue 4, pg: 164-169
+A REVIEW ON TEXTURE BASED EMOTION RECOGNITION
+FROM FACIAL EXPRESSION
+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."

+2e6c3557cb90f472e6798fcaa8ecc9dff3557f11,Towards Perspective-Free Object Counting with Deep Learning,"Towards perspective-free object counting with
+deep learning
+Daniel O˜noro-Rubio and Roberto J. L´opez-Sastre
+GRAM, University of Alcal´a, Alcal´a de Henares, Spain"

+2e56209ed179be641e6df5efd11be8b3d54a62e9,Combining Deep and Handcrafted Image Features for Presentation Attack Detection in Face Recognition Systems Using Visible-Light Camera Sensors,"Article
+Combining Deep and Handcrafted Image Features for
+Presentation Attack Detection in Face Recognition
+Systems Using Visible-Light Camera Sensors
+Dat Tien Nguyen, Tuyen Danh Pham, Na Rae Baek and Kang Ryoung Park *
+Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu,
+Seoul 100-715, Korea; (D.T.N.); (T.D.P.);
+(N.R.B.)
+* Correspondence: Tel.: +82-10-3111-7022; Fax: +82-2-2277-8735
+Received: 30 January 2018; Accepted: 24 February 2018; Published: 26 February 2018"

+2efc6f98720b804345c030e22aef6c9f4a53023e,Soft-biometrics evaluation for people re-identification in uncontrolled multi-camera environments,"Moctezuma et al. EURASIP Journal on Image and Video Processing  (2015) 2015:28
+DOI 10.1186/s13640-015-0078-1
+RESEARCH
+Open Access
+Soft-biometrics evaluation for people
+re-identification in uncontrolled multi-camera
+environments
+Daniela Moctezuma1*, Cristina Conde2, Isaac Martín De Diego2 and Enrique Cabello2"

+2e708431df3e7a9585a338e1571f078ddbe93a71,Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification.,"Aalborg Universitet
+Deep Pain
+Rodriguez, Pau; Cucurull, Guillem; Gonzàlez, Jordi; M. Gonfaus, Josep ; Nasrollahi, Kamal;
+Moeslund, Thomas B.; Xavier Roca, F.
+Published in:
+I E E E Transactions on Cybernetics
+DOI (link to publication from Publisher):
+0.1109/TCYB.2017.2662199
+Publication date:
+Document Version
+Accepted author manuscript, peer reviewed version
+Link to publication from Aalborg University
+Citation for published version (APA):
+Rodriguez, P., Cucurull, G., Gonzàlez, J., M. Gonfaus, J., Nasrollahi, K., Moeslund, T. B., & Xavier Roca, F.
+(2017). Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification. I E E E
+Transactions on Cybernetics, 1-11. DOI: 10.1109/TCYB.2017.2662199
+General rights
+Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners
+nd it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.
+? Users may download and print one copy of any publication from the public portal for the purpose of private study or research."

+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
+Rachel Merchak
+Wittenberg University
+Rachel Merchak, Psychology Department, Wittenberg University.
+Author Note
+This research was conducted in collaboration with Dr. Stephanie Little, Psychology Department,
+Wittenberg University, and Dr. Michael Anes, Psychology Department, Wittenberg University.
+Correspondence concerning this article should be addressed to Rachel Merchak, 10063 Fox
+Chase Drive, Loveland, OH 45140.
+E‐mail:"

+2bb968e8f9df0fa72dd72e5d705ea7b75af8dcd7,Fast Support Vector Classifier for automated content-based search in video surveillance,"Fast Support Vector Classifier for Automated
+Content-based Search in Video Surveillance
+Cătălin A. Mitrea1, Ionuț Mironică1, Bogdan Ionescu1,2, Radu Dogaru1
+LAPI & Natural Computing Labs, University “Politehnica” of Bucharest, 061971, Romania
+LISTIC, University Savoie Mont Blanc, 74940 Annecy-le-Vieux, France
+Email:
+for  multiple-instance  human  retrieval"

+2ba5e4c421b1413139e4bc5d935d6d48cc753757,Vantage Feature Frames for Fine-Grained Categorization,"Vantage Feature Frames For Fine-Grained Categorization
+Asma Rejeb Sfar
+INRIA Saclay
+Palaiseau, France
+Nozha Boujemaa
+INRIA Saclay
+Palaiseau, France
+Donald Geman
+Johns Hopkins University
+Baltimore, MD, USA
+sma.rejeb"

+2baea24cc71793ba40cf738b7ad1914f0e549863,Attribute Augmented Convolutional Neural Network for Face Hallucination,"Attribute Augmented Convolutional Neural Network for Face Hallucination
+Cheng-Han Lee1 Kaipeng Zhang1 Hu-Cheng Lee1 Chia-Wen Cheng2 Winston Hsu1
+National Taiwan University 2The University of Texas at Austin
+{r05922077, r05944047, r05922174,"

+2ba64deeb3e170e4776e2d2704771019cf9c8639,Differences between Old and Young Adults’ Ability to Recognize Human Faces Underlie Processing of Horizontal Information,"AGING NEUROSCIENCE
+ORIGINAL RESEARCH ARTICLE
+published: 23 April 2012
+doi: 10.3389/fnagi.2012.00003
+Differences between old and young adults’ ability to
+recognize human faces underlie processing of
+horizontal information
+Sven Obermeyer *,Thorsten Kolling, Andreas Schaich and Monika Knopf
+Department of Psychology, Institute for Psychology, Goethe-University Frankfurt am Main, Frankfurt am Main, Germany
+Edited by:
+Hari S. Sharma, Uppsala University,
+Sweden
+Reviewed by:
+Luis Francisco Gonzalez-Cuyar,
+University of Washington School of
+Medicine, USA
+Gregory F. Oxenkrug, Tufts University,
+*Correspondence:
+Sven Obermeyer , Department of
+Psychology, Goethe-University"

+2b50f8e4568ecd84e2f9d6357254272d8db4bbd4,Hierarchical Gaussian Descriptor for Person Re-identification,"Hierarchical Gaussian Descriptor for Person Re-Identification
+Tetsu Matsukawa1, Takahiro Okabe2, Einoshin Suzuki1, Yoichi Sato3
+Kyushu University 2 Kyushu Institute of Technology 3 The University of Tokyo
+{matsukawa,"

+2bf41bf420c8d86dd1bffbacd28c70fa8b12b6dd,Counting the uncountable: deep semantic density estimation from Space,"Counting the uncountable: Deep semantic
+density estimation from space
+Andres C. Rodriguez and Jan D. Wegner
+ETH Zurich, Stefano-franscini-platz 5 8093 Zurich, Switzerland
+Accepted at GCPR 2018"

+2b4d092d70efc13790d0c737c916b89952d4d8c7,Robust Facial Expression Recognition using Local Haar Mean Binary Pattern,"JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 32, XXXX-XXXX (2016)
+Robust Facial Expression Recognition using Local Haar
+Mean Binary Pattern
+MAHESH GOYANI1, NARENDRA PATEL2
+,2 Department of Computer Engineering
+Charotar University of Science and Technology, Changa, India
+Gujarat Technological University, V.V.Nagar, India
+E-mail:
+In this paper, we propose a hybrid statistical feature extractor, Local Haar Mean Bina-
+ry Pattern (LHMBP). It extracts level-1 haar approximation coefficients and computes Local
+Mean  Binary  Pattern  (LMBP)  of  it.  LMBP  code  of  pixel  is  obtained  by  weighting  the
+thresholded neighbor value of 3  3 patch on its mean. LHMBP produces highly discrimina-
+tive code compared to other state of the art methods. To localize appearance features, ap-
+proximation subband is divided into M  N regions. LHMBP feature descriptor is derived
+y  concatenating  LMBP  distribution  of  each  region.  We  also  propose  a  novel  template
+matching strategy called Histogram Normalized Absolute Difference (HNAD) for histogram
+ased  feature  comparison.  Experiments  prove  the  superiority  of  HNAD  over  well-known
+template  matching  techniques  such  as  L2  norm  and  Chi-Square.  We  also  investigated
+LHMBP for expression recognition in low resolution. The performance of the proposed ap-
+proach is tested on well-known CK, JAFFE, and SFEW facial expression datasets in diverse"

+2b1358efbceda12de2f36398cdbdb3c7bccc70d4,Unified Detection and Tracking of Instruments during Retinal Microsurgery,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.
+JOURNAL OF LATEX CLASS FILES, VOL. 6, NO. 1, JANUARY 2007
+Unified detection and tracking of instruments
+during retinal microsurgery
+Raphael Sznitman, Rogerio Richa, Russell H. Taylor Fellow, IEEE, Bruno Jedynak
+nd Gregory D. Hager, Fellow, IEEE"

+2befea9b289f22547f8911aa56672d6373c1ac64,GAIDON et al.: RECOGNIZING ACTIVITIES WITH CLUSTER-TREES OF TRACKLETS 1 Recognizing activities with cluster-trees of tracklets,"GAIDON et al.: RECOGNIZING ACTIVITIES WITH CLUSTER-TREES OF TRACKLETS
+Recognizing activities with cluster-trees of
+tracklets
+Adrien Gaidon
+http://lear.inrialpes.fr/people/gaidon
+Zaid Harchaoui
+http://lear.inrialpes.fr/people/harchaoui
+Cordelia Schmid
+http://lear.inrialpes.fr/people/schmid
+LEAR - INRIA Grenoble, LJK
+655, avenue de l’Europe
+8330 Montbonnot, France"

+2b4d40ef1610500c207f166e9a5b55dbfe234045,A New Biased Discriminant Analysis Using Composite Vectors for Eye Detection,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 42, NO. 4, AUGUST 2012
+A New Biased Discriminant Analysis Using
+Composite Vectors for Eye Detection
+Chunghoon Kim, Member, IEEE, Sang-Il Choi, Member, IEEE,
+Matthew Turk, Senior Member, IEEE, and Chong-Ho Choi, Member, IEEE"

+2b0ff4b82bac85c4f980c40b3dc4fde05d3cc23f,An Effective Approach for Facial Expression Recognition with Local Binary Pattern and Support Vector Machine,"An Effective Approach for Facial Expression Recognition with Local Binary
+Pattern and Support Vector Machine
+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,"

+2bac4161a928eb33e6be700ed8ea4d823494b22c,MergeNet: A Deep Net Architecture for Small Obstacle Discovery,"MergeNet: A Deep Net Architecture for Small Obstacle Discovery
+Krishnam Gupta1, Syed Ashar Javed2, Vineet Gandhi2 and K. Madhava Krishna2
+evidences is more likely to perform the task better. Recent
+efforts [3] on multi modal fusion also suggests likewise."

+2baf54199b4b0047f3610ba691fb0a718dbce97e,Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms,"International Journal of Computer Applications (0975 – 8887)
+Volume 134 – No.7, January 2016
+Development of an Efficient Face Recognition System
+ased on Linear and Nonlinear Algorithms
+Filani Araoluwa S.
+Department of Computer Science,
+The Federal University of Technology,
+P.M.B.704, Akure, Ondo State, Nigeria."

+2b4b0795358d0264f846e8b3c19ec3180da301cc,Active MAP Inference in CRFs for Efficient Semantic Segmentation,"Active MAP Inference in CRFs for Efficient Semantic Segmentation
+Roderick de Nijs2
+Gemma Roig1 ∗
+Sebastian Ramos3
+Xavier Boix1 ∗
+Kolja K¨uhnlenz2
+Luc Van Gool1,4
+ETH Z¨urich, Switzerland 2TU Munchen, Germany 3CVC Barcelona, Spain 4KU Leuven, Belgium
+Both first authors contributed equally."

+2ba7c88a7e96d412c116d6bea4ba27be2ed4dd48,CocoNet: A deep neural network for mapping pixel coordinates to color values,"CocoNet: A Deep Neural Network for Mapping
+Pixel Coordinates to Color Values
+Paul Andrei Bricman1 and Radu Tudor Ionescu2
+George Co¸sbuc National College, 29-31 Olari, Bucharest, Romania,
+University of Bucharest, 14 Academiei, Bucharest, Romania"

+2b285e5eaeb7a2aa7e37c5ae6762b838d3742b4e,Video event recognition using concept attributes,"Video Event Recognition Using Concept Attributes
+Jingen Liu, Qian Yu, Omar Javed, Saad Ali, Amir Tamrakar, Ajay Divakaran, Hui Cheng, Harpreet Sawhney
+SRI International Sarnoff
+Princeton, NJ, USA 08540"

+2bd49bdfc61788c8ac5621fe7f08a06dd2152fb9,Pose Invariant Face Recognition Using Neuro - Biologically Inspired Features Pramod,"International Journal of Future Computer and Communication, Vol. 1, No. 3, October 2012
+Pose Invariant Face Recognition Using
+Neuro-Biologically Inspired Features
+Pramod Kumar Pisharady and Martin Saerbeck"

+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"

+2bdc0c79b26fed51bc2af1af16117879ee3f571e,Augmented Multitouch Interaction upon a 2-DOF Rotating Disk,"Augmented Multitouch Interaction
+upon a 2-DOF Rotating Disk
+Xenophon Zabulis, Panagiotis Koutlemanis, and Dimitris Grammenos
+Institute of Computer Science, Foundation for Research and Technology - Hellas,
+Herakleion, Crete, Greece"

+2b8a61184b6423e3d5285803eb1908ff955db1a8,Processing and analysis of 2 . 5 D face models for non-rigid mapping based face recognition using differential geometry tools,"Processing and analysis of 2.5D face models for
+non-rigid mapping based face recognition using
+differential geometry tools
+Przemyslaw Szeptycki
+To cite this version:
+Przemyslaw Szeptycki. Processing and analysis of 2.5D face models for non-rigid mapping
+ased face recognition using differential geometry tools. Other. Ecole Centrale de Lyon, 2011.
+English. <NNT : 2011ECDL0020>. <tel-00675988>
+HAL Id: tel-00675988
+https://tel.archives-ouvertes.fr/tel-00675988
+Submitted on 2 Mar 2012
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destin´ee au d´epˆot et `a la diffusion de documents
+scientifiques de niveau recherche, publi´es ou non,"

+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
+D-ITET, ETH Zurich
+Anna Volokitin
+Computer Vision Lab
+D-ITET, ETH Zurich
+Radu Timofte
+CVL, D-ITET, ETH Zurich
+Merantix GmbH"

+2beb9777bf452d02f9bec5275c100f4a736def10,Near Duplicate Image Discovery on One Billion Images,"Near Duplicate Image Discovery on One Billion Images
+Saehoon Kim ∗
+Department of Computer Science,
+POSTECH, Korea
+Xin-Jing Wang
+Web Search and Mining Group
+Microsoft Research Asia, Beijing
+Lei Zhang
+Web Search and Mining Group
+Microsoft Research Asia, Beijing
+Seungjin Choi
+Department of Computer Science,
+POSTECH, Korea"

+2b507f659b341ed0f23106446de8e4322f4a3f7e,Deep Identity-aware Transfer of Facial Attributes,"Deep Identity-aware Transfer of Facial Attributes
+Mu Li1, Wangmeng Zuo2, David Zhang1
+The Hong Kong Polytechnic University 2Harbin Institute of Technology"

+2bbb772332a90b2aba893f7467daa76b373be240,Extracting 3D Layout From a Single Image Using Global Image Structures,"Extracting 3D Layout From a Single Image
+Using Global Image Structures
+Zhongyu Lou, Theo Gevers, Member, IEEE, and Ninghang Hu"

+2b8dfbd7cae8f412c6c943ab48c795514d53c4a7,Polynomial based texture representation for facial expression recognition,"014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP)
+978-1-4799-2893-4/14/$31.00 ©2014 IEEE
+e-mail:
+e-mail:
+RECOGNITION
+. INTRODUCTION
+(d1,d2)∈[0;d]2
+d1+d2≤d"

+2b3fe9a0356eaf50f1340dda3f3d14f6904905ec,Taking advantage of sensor modality specific properties in Automated Driving Extended Abstract,"Taking advantage of sensor modality specific properties in
+Automated Driving"

+2b9082b6b5266f6f7d7a95892f30cc84138697e5,Video Person Re-identification by Temporal Residual Learning,"SUBMITTED TO IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. XX, NO. XX, FEB 2018
+Video Person Re-identification by Temporal
+Residual Learning
+Ju Dai∗, Pingping Zhang∗, Huchuan Lu, Senior Member, IEEE, and Hongyu Wang, Member, IEEE"

+2bae810500388dd595f4ebe992c36e1443b048d2,Analysis of Facial Expression Recognition by Event-related Potentials,"International Journal of Bioelectromagnetism
+Vol. 18, No. 1, pp. 13 - 18, 2016
+www.ijbem.org
+Analysis of Facial Expression Recognition
+y Event-related Potentials
+Taichi Hayasaka and Ayumi Miyachi
+Department of Information and Computer Engineering,
+National Institute of Technology, Toyota College, Japan
+Correspondence: Taichi Hayasaka, Department of Information and Computer Engineering, National Institute of Technology,
+Toyota College, 2-1 Eisei, Toyota-shi, Aichi, 471-8525 Japan,
+E-mail: phone +81 565 36 5861, fax +81 565 36 5926"

+2bbbbe1873ad2800954058c749a00f30fe61ab17,Face Verification across Ages Using Self Organizing Map,"ISSN(Online): 2320-9801
+ISSN (Print):  2320-9798
+International Journal of Innovative Research in Computer and Communication Engineering
+(An ISO 3297: 2007 Certified Organization)
+Vol.2, Special Issue 1, March 2014
+Proceedings of International Conference On Global Innovations In Computing Technology (ICGICT’14)
+Organized by
+Department of CSE, JayShriram Group of Institutions, Tirupur, Tamilnadu, India on 6th & 7th March 2014
+Face Verification across Ages Using Self
+Organizing Map
+B.Mahalakshmi1, K.Duraiswamy2, P.Gnanasuganya3, P.Aruldhevi4, R.Sundarapandiyan5
+Associate Professor, Department of CSE, K.S.Rangasamy College of Technology, Namakkal, TamilNadu, India1
+Dean, K.S.Rangasamy College of Technology, Namakkal, TamilNadu, India2
+B.E, Department of CSE, K.S.Rangasamy College of Technology, Namakkal, TamilNadu, India3, 4, 5"

+2b8667df1a0332386d8d799fbac0327496ce02c9,Stranger danger: Parenthood increases the envisioned bodily formidability of menacing men,"Evolution and Human Behavior 35 (2014) 109–117
+Contents lists available at ScienceDirect
+Evolution and Human Behavior
+j o u r n a l h o m e p a g e : w w w . e h b o n l i n e . o r g
+Original Article
+Stranger danger: Parenthood increases the envisioned bodily formidability
+of menacing men☆
+Daniel M.T. Fessler a,b,⁎, Colin Holbrook a,b, Jeremy S. Pollack b, Jennifer Hahn-Holbrook b,c
+Department of Anthropology, University of California, Los Angeles, Los Angeles, CA 90095, USA
+Center for Behavior, Evolution, and Culture, University of California, Los Angeles, Los Angeles, CA 90095, USA
+Department of Psychology, University of California, Los Angeles, Los Angeles, CA 90095, USA
+r t i c l e
+i n f o
+b s t r a c t
+Article history:
+Initial receipt 6 April 2013
+Final revision received 1 November 2013
+Keywords:
+Parenthood
+Relative formidability"

+47fc921add1421ff8adb730df7aa9e7f865bfdeb,Toward Practical Smile Detection,"Towards Practical Smile Detection
+Jacob Whitehill, Gwen Littlewort, Ian Fasel, Marian Bartlett, and Javier Movellan"

+4701112bfe9946a97a60c2bbb2d47dc784942c3f,Understanding classifier errors by examining influential neighbors,"Understanding Classifier Errors by Examining Influential Neighbors
+Mayank Kabra, Alice Robie, Kristin Branson
+Janelia Research Campus of the Howard Hughes Medical Institute
+Ashburn, VA, 20147, USA"

+47be79c0ecb598e1af44e57f386f79adf491f82b,Scenes categorization based on appears objects probability,"016 IEEE 6th International Conference on System Engineering and Technology (ICSET)
+Oktober 3-4, 2016 Bandung – Indonesia
+Scenes Categorization based on Appears Objects
+Probability
+Marzuki1, Egi Muhamad Hidayat2, Rinaldi Munir3, Ary Setijadi P4 ,Carmadi Machbub5
+School of Electrical Engineering and Informatics, Institut Teknologi Bandung
+Bandung, Indonesia
+lskk.ee.itb.ac.id"

+47ce78c9f49248a7d1bd395befb43e45d89555ee,Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments,"Vision-and-Language Navigation: Interpreting visually-grounded
+navigation instructions in real environments
+Peter Anderson1
+Niko S¨underhauf3
+Qi Wu2
+Damien Teney2
+Jake Bruce3
+Mark Johnson4
+Ian Reid2
+Stephen Gould1
+Anton van den Hengel2
+Australian National University 2University of Adelaide 3Queensland University of Technology 4Macquarie University"

+47096e7103a2fbb6f6ede05e996209497d41db6a,Implementation of Artificial Intelligence Methods for Virtual Reality Solutions: a Review of the Literature,"Implementation of Artificial Intelligence Methods for
+Virtual Reality Solutions: a Review of the Literature
+Rytis Augustauskas
+Department of Automation
+Aurimas Kudarauskas
+Department of Automation
+Kaunas University of Technology,
+Kaunas University of Technology,
+Kaunas, Lithuania
+Kaunas, Lithuania
+Cenker Canbulut
+Department of Multimedia Engineering
+Kaunas University of Technology,
+Kaunas, Lithuania"

+477236563c6a6c6db922045453b74d3f9535bfa1,Attribute Based Image Search Re-Ranking Snehal,"International Journal of Science and Research (IJSR)
+ISSN (Online): 2319-7064
+Index Copernicus Value (2013): 6.14 | Impact Factor (2014): 5.611
+Attribute Based Image Search Re-Ranking
+Snehal S Patil1, Ajay Dani2
+Master of Computer Engg, Savitribai Phule Pune University, G. H. Raisoni Collage of Engg and Technology, Wagholi, Pune
+2Professor, Computer and Science Dept, Savitribai Phule Pune University, G. H .Raisoni Collage of Engg and Technology, Wagholi, Pune
+integrating
+images  by"

+47fdd1579f732dd6389f9342027560e385853180,Deep Sparse Subspace Clustering,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
+Deep Sparse Subspace Clustering
+Xi Peng, Jiashi Feng, Shijie Xiao, Jiwen Lu Senior Member, IEEE, Zhang Yi Fellow, IEEE,
+Shuicheng Yan Fellow, IEEE,"

+47f2088afb616bde5468818e23d79e1ae5a562cd,Multi-view gender classification based on local Gabor binary mapping pattern and support vector machines,"Multi-view Gender Classification based on Local Gabor Binary
+Mapping Pattern and Support Vector Machines
+Bin Xia, He Sun and Bao-Liang Lu∗ Senior Member, IEEE"

+470dbd3238b857f349ebf0efab0d2d6e9779073a,Unsupervised Simultaneous Orthogonal basis Clustering Feature Selection,"Unsupervised Simultaneous Orthogonal Basis Clustering Feature Selection
+Dongyoon Han and Junmo Kim
+School of Electrical Engineering, KAIST, South Korea
+In this paper, we propose a novel unsupervised feature selection method: Si-
+multaneous Orthogonal basis Clustering Feature Selection (SOCFS). To per-
+form feature selection on unlabeled data effectively, a regularized regression-
+ased formulation with a new type of target matrix is designed. The target
+matrix captures latent cluster centers of the projected data points by per-
+forming the orthogonal basis clustering, and then guides the projection ma-
+trix to select discriminative features. Unlike the recent unsupervised feature
+selection methods, SOCFS does not explicitly use the pre-computed local
+structure information for data points represented as additional terms of their
+objective functions, but directly computes latent cluster information by the
+target matrix conducting orthogonal basis clustering in a single unified term
+of the proposed objective function.
+Since the target matrix is put in a single unified term for regression of
+the proposed objective function, feature selection and clustering are simul-
+taneously performed. In this way, the projection matrix for feature selection
+is more properly computed by the estimated latent cluster centers of the
+projected data points. To the best of our knowledge, this is the first valid"

+47541d04ec24662c0be438531527323d983e958e,British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library Library of Congress Control Number: 2008xxxxxx,Affective Information Processing

+479f44f9b4c401327a721550334b8d491f6b3f16,OR-PCA with MRF for Robust Foreground Detection in Highly Dynamic Backgrounds,"OR-PCA with MRF for Robust Foreground
+Detection in Highly Dynamic Backgrounds
+Sajid Javed1, Seon Ho Oh1, Andrews Sobral2,
+Thierry Bouwmans2 and Soon Ki Jung1
+School of Computer Science and Engineering, Kyungpook National University,
+80 Daehak-ro, Buk-gu,Daegu, 702-701, Republic of Korea
+{sajid,
+Laboratoire MIA (Mathematiques, Image et Applications)- Universit´e de La
+Rochelle, 17000, France, {andrews.sobral,"

+474b461cd12c6d1a2fbd67184362631681defa9e,Multi-resolution fusion of DTCWT and DCT for shift invariant face recognition,"014 IEEE International
+Conference on Systems, Man
+nd Cybernetics
+(SMC 2014)
+San Diego, California, USA
+5-8 October 2014
+Pages 1-789
+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
+Kaustubh Kulkarni*, Ciprian Adrian Corneanu*, Ikechukwu Ofodile*, Student Member, IEEE, Sergio
+Escalera, Xavier Bar´o, Sylwia Hyniewska, Member, IEEE, J¨uri Allik,
+nd Gholamreza Anbarjafari, Senior Member, IEEE"

+47f8ba44fde1f8a3a621b20cabb7e84515fb8313,Superpixel-based Road Segmentation for Real-time Systems using CNN,

+4753a125469da7649e9f58fb0db781622dff41f8,Multi-view Stereo with Single-View Semantic Mesh Refinement,"Multi-View Stereo with Single-View Semantic Mesh Refinement
+Andrea Romanoni Marco Ciccone
+Francesco Visin Matteo Matteucci
+{andrea.romanoni, marco.ciccone, francesco.visin,
+Politecnico di Milano, Italy"

+47a2727bd60e43f3253247b6d6f63faf2b67c54b,Semi-supervised Vocabulary-Informed Learning,"Semi-supervised Vocabulary-informed Learning
+Yanwei Fu and Leonid Sigal
+Disney Research"

+475de283dad61a8a9ed231dce0d8d62a54f4d062,Person Following by Autonomous Robots: A Categorical Overview,"Islam et al.
+Person Following by Autonomous
+Robots: A Categorical Overview
+Md Jahidul Islam, Jungseok Hong and Junaed Sattar
+Preprint Version I
+XX(X):1–25
+(cid:13)The Author(s) 2018
+Reprints and permission:
+sagepub.co.uk/journalsPermissions.nav
+DOI: 10.1177/ToBeAssigned
+www.sagepub.com/"

+478261574ddc6cf297611000735aa9808f8f0030,ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes,

+47022785c35735a242dbacd4f1f1bb73628493ea,Person Retrieval Based on Viewpoint Saliency Prior,"Journal of Computational Information Systems 9: 20 (2013) 8235–8242
+Available at http://www.Jofcis.com
+Person Retrieval Based on Viewpoint Saliency Prior
+Qingming LENG, Ruimin HU∗, Cuina JIAO, Chao LIANG, Zheng WANG
+National Engineering Research Center for Multimedia Software, School of Computer, Wuhan
+University, Wuhan 430079, China"

+47d3b923730746bfaabaab29a35634c5f72c3f04,Real-Time Facial Expression Recognition App Development on Smart Phones,"Humaid Alshamsi.et.al. Int. Journal of Engineering Research and Application              www.ijera.com
+ISSN : 2248-9622, Vol. 7, Issue 7, ( Part -3) July 2017, pp.30-38
+RESEARCH ARTICLE
+OPEN ACCESS
+Real-Time Facial Expression Recognition App Development on
+Smart Phones
+Humaid Alshamsi, Veton Kupuska
+Electrical And Computer Engineering Department, Florida Institute Of Technology, Melbourne Fl,"

+47e3029a3d4cf0a9b0e96252c3dc1f646e750b14,Facial expression recognition in still pictures and videos using active appearance models: a comparison approach,"International Conference on Computer Systems and Technologies - CompSysTech’07
+Facial Expression Recognition in still pictures and videos using Active
+Appearance Models. A comparison approach.
+Drago(cid:1) Datcu
+Léon Rothkrantz"

+470b89e2c5248eb58e09129aa9b4d8bc77497e7e,Neurobiology of Disease Cortical Folding Abnormalities in Autism Revealed by Surface-Based Morphometry,"The Journal of Neuroscience, October 24, 2007 • 27(43):11725–11735 • 11725
+Neurobiology of Disease
+Cortical Folding Abnormalities in Autism Revealed by
+Surface-Based Morphometry
+Christine Wu Nordahl,1 Donna Dierker,2 Iman Mostafavi,1 Cynthia M. Schumann,1,3 Susan M. Rivera,4
+David G. Amaral,1 and David C. Van Essen2
+The Medical Investigation of Neurodevelopmental Disorders (M.I.N.D.) Institute and the Department of Psychiatry and Behavioral Sciences, University of
+California, Davis, Sacramento, California 95817, 2Department of Anatomy and Neurobiology, Washington University in St. Louis, St. Louis, Missouri 63110,
+Department of Neurosciences, University of California, San Diego, La Jolla, California 92093, and 4The M.I.N.D. Institute and the Department of
+Psychology, University of California, Davis, Davis, California 95616
+We tested for cortical shape abnormalities using surface-based morphometry across a range of autism spectrum disorders (7.5–18 years
+of age). We generated sulcal depth maps from structural magnetic resonance imaging data and compared typically developing controls
+to three autism spectrum disorder subgroups: low-functioning autism, high-functioning autism, and Asperger’s syndrome. The low-
+functioning autism group had a prominent shape abnormality centered on the pars opercularis of the inferior frontal gyrus that was
+ssociated with a sulcal depth difference in the anterior insula and frontal operculum. The high-functioning autism group had bilateral
+shape abnormalities similar to the low-functioning group, but smaller in size and centered more posteriorly, in and near the parietal
+operculum and ventral postcentral gyrus. Individuals with Asperger’s syndrome had bilateral abnormalities in the intraparietal sulcus
+that correlated with age, intelligence quotient, and Autism Diagnostic Interview-Revised social and repetitive behavior scores. Because of
+evidence suggesting age-related differences in the developmental time course of neural alterations in autism, separate analyses on
+hildren (7.5–12.5 years of age) and adolescents (12.75–18 years of age) were also carried out. All of the cortical shape abnormalities"

+475e16577be1bfc0dd1f74f67bb651abd6d63524,DAiSEE: Towards User Engagement Recognition in the Wild,"DAiSEE: Towards User Engagement Recognition in the Wild
+Abhay Gupta
+Microsoft
+Vineeth N Balasubramanian
+Indian Institution of Technology Hyderabad"

+471befc1b5167fcfbf5280aa7f908eff0489c72b,Class-Specific Kernel-Discriminant Analysis for Face Verification,"Class-Specific Kernel-Discriminant
+Analysis for Face Verification
+Georgios Goudelis, Stefanos Zafeiriou, Anastasios Tefas, Member, IEEE, and Ioannis Pitas, Fellow, IEEE
+lass problems ("

+47bd6c1d7da596d3cf79f06ec0de816d10f11beb,Coupled Discriminant Analysis for Heterogeneous Face Recognition,"Coupled Discriminant Analysis for Heterogeneous
+Face Recognition
+Zhen Leiy, Member, IEEE, Shengcai Liaoz, Anil K. Jainz, Fellow, IEEE, and Stan Z. Liy, Fellow, IEEE"

+47e8db3d9adb79a87c8c02b88f432f911eb45dc5,MAGMA: Multilevel Accelerated Gradient Mirror Descent Algorithm for Large-Scale Convex Composite Minimization,"MAGMA: Multi-level accelerated gradient mirror descent algorithm for
+large-scale convex composite minimization
+Vahan Hovhannisyan
+Panos Parpas
+Stefanos Zafeiriou
+July 15, 2016"

+47c0c7f1a27d467e00a6fa7ea2ca0af2e3328b9e,Predicting Scene Parsing and Motion Dynamics in the Future,"Predicting Scene Parsing and Motion Dynamics
+in the Future
+Xiaojie Jin1, Huaxin Xiao2, Xiaohui Shen3, Jimei Yang3, Zhe Lin3
+Yunpeng Chen2, Zequn Jie4, Jiashi Feng2, Shuicheng Yan5,2
+NUS Graduate School for Integrative Science and Engineering (NGS), NUS
+Department of ECE, NUS
+Adobe Research
+Tencent AI Lab
+5Qihoo 360 AI Institute"

+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
+Recognition Techniques: A Survey
+Ningthoujam Sunita Devi                                                                              Prof.K.Hemachandran
+Department of Computer Science                                                                Department of Computer Science
+Assam University, Silchar-788011                                                               Assam University, Silchar-788011"

+47b508abdaa5661fe14c13e8eb21935b8940126b,An Efficient Method for Feature Extraction of Face Recognition Using PCA,"Volume 4, Issue 12, December 2014                                  ISSN: 2277 128X
+International Journal of Advanced Research in
+Computer Science and Software Engineering
+Research Paper
+Available online at: www.ijarcsse.com
+An Efficient Method for Feature Extraction of Face
+Recognition Using PCA
+Tara Prasad Singh
+(M.Tech. Student)
+Computer Science & Engineering
+Iftm University,Moradabad-244001 U.P."

+47b34a8ad5100582aa7cbfd85df3ca7659adc392,Is this a wampimuk? Cross-modal mapping between distributional semantics and the visual world,"Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, pages 1403–1414,
+Baltimore, Maryland, USA, June 23-25 2014. c(cid:13)2014 Association for Computational Linguistics"

+47440f514318b438ebf04d9932f5dafdb488a536,Emotion Recognition from Facial Images Using Binary Face Relevance Maps,"STUDIA INFORMATICA
+Volume 36
+Number 4 (122)
+Tomasz HERUD, Michal KAWULOK
+Silesian University of Technology, Institute of Informatics
+Future Processing, Gliwice, Poland
+Bogdan SMOLKA
+Silesian University of Technology, Institute of Automatic Control
+EMOTION  RECOGNITION  FROM  FACIAL  IMAGES  USING
+BINARY FACE RELEVANCE MAPS1
+Summary.  This  paper is focused on automatic emotion recognition from static
+grayscale images. Here, we propose a new approach to this problem, which combines
+few  other  methods.  The  facial  region  is  divided  into  small  subregions,  which  are
+selected  for  processing  based  on  a  face  relevance  map.  From  these  regions,  local
+directional  pattern  histograms  are  extracted  and  concatenated  into  a  single  feature
+histogram, which is classified into one of seven defined emotional states using support
+vector  machines.  In  our  case,  we  distinguish:  anger,  disgust,  fear,  happiness,
+neutrality,  sadness  and  surprise.  In  our  experimental  study  we  demonstrate  that  the
+expression  recognition  accuracy  for  Japanese  Female  Facial  Expression  database  is
+one of the best compared with the results reported in the literature."

+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"

+786e57ed6877dc8491b1bb9253f8b82c02732977,Efficient approach to de-identifying faces in videos,"Page 1 of 8
+An Efficient Approach to De-Identifying Faces in Videos
+Li Meng *, Zongji Sun, Odette Tejada Collado
+School of Engineering and Technology, University of Hertfordshire, College Lane, Hatfield, UK"

+788eceb4d1b7556d1c9033224da2348b4402d6ca,An Empirical Evaluation of Visual Question Answering for Novel Objects,"An Empirical Evaluation of Visual Question Answering for Novel Objects
+Santhosh K. Ramakrishnan1,2 Ambar Pal1 Gaurav Sharma1 Anurag Mittal2
+IIT Kanpur∗
+IIT Madras†"

+7854876ab5d87248ace94615731ed3e3e56af769,MixedPeds: Pedestrian Detection in Unannotated Videos Using Synthetically Generated Human-Agents for Training,

+789c76749a15614d97ac8f4ec18b3ce7d80a2d28,Explorer Multiplicative LSTM for sequence modelling,"Multiplicative LSTM for sequence modelling
+Citation for published version:
+Krause, B, Murray, I, Renals, S & LU, L 2017, Multiplicative LSTM for sequence modelling. in  International
+Conference on Learning Representations - ICLR 2017 - Workshop Track. pp. 2872-2880.
+Link:
+Link to publication record in Edinburgh Research Explorer
+Document Version:
+Publisher's PDF, also known as Version of record
+Published In:
+International Conference on Learning Representations - ICLR 2017 - Workshop Track
+General rights
+Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s)
+nd / or other copyright owners and it is a condition of accessing these publications that users recognise and
+bide by the legal requirements associated with these rights.
+Take down policy
+The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer
+ontent complies with UK legislation. If you believe that the public display of this file breaches copyright please
+ontact providing details, and we will remove access to the work immediately and
+investigate your claim.
+Download date: 02. Sep. 2017"

+78749b58299ecebf100e2512872029f89878449b,One-class Selective Transfer Machine for Personalized Anomalous Facial Expression Detection,

+78c91d969c55a4a61184f81001c376810cdbd541,A Spike and Slab Restricted Boltzmann Machine,"A Spike and Slab Restricted Boltzmann Machine
+Aaron Courville
+James Bergstra
+Yoshua Bengio
+DIRO, Universit´e de Montr´eal, Montr´eal, Qu´ebec, Canada"

+787303db8e707feee2fa2b93dfc46e3d3cc244cd,Defocus Blur Parameter Estimation Technique,"International Journal of Electronics and Communication Engineering and Technology (IJECET)
+Volume 7, Issue 4, July-August 2016, pp. 85–90, Article ID: IJECET_07_04_010
+Available online at
+http://www.iaeme.com/IJECET/issues.asp?JType=IJECET&VType=7&IType=4
+Journal Impact Factor (2016): 8.2691 (Calculated by GISI) www.jifactor.com
+ISSN Print: 0976-6464 and ISSN Online: 0976-6472
+© IAEME Publication
+DEFOCUS BLUR PARAMETER ESTIMATION
+TECHNIQUE
+Ruchi Gajjar, Aditi Pathak and Tanish Zaveri
+Electronics and Communication Engineering Department
+Institute of Technology, Nirma University, Ahmedabad, Gujarat, India"

+784cc0363d44bf09f3f636abd1a532ddac95ca13,Group-level emotion recognition using transfer learning from face identification,"Group-level Emotion Recognition using Transfer Learning from
+Face Identification
+Alexandr Rassadin
+Alexey Gruzdev
+Andrey Savchenko
+National Research University Higher
+National Research University Higher
+National Research University Higher
+School of Economics
+Laboratory of Algorithms and
+Technologies for Network Analysis,
+School of Economics
+Nizhny Novgorod
+Russia
+School of Economics
+Laboratory of Algorithms and
+Technologies for Network Analysis,
+Nizhny Novgorod
+Russia
+Nizhny Novgorod"

+783f3fccde99931bb900dce91357a6268afecc52,Adapted Active Appearance Models,"Hindawi Publishing Corporation
+EURASIP Journal on Image and Video Processing
+Volume 2009, Article ID 945717, 14 pages
+doi:10.1155/2009/945717
+Research Article
+Adapted Active Appearance Models
+Renaud S´eguier,1 Sylvain Le Gallou,2 Gaspard Breton,2 and Christophe Garcia2
+SUP ´ELEC/IETR, Avenue de la Boulaie, 35511 Cesson-S´evign´e, France
+Orange Labs—TECH/IRIS, 4 rue du clos courtel, 35 512 Cesson S´evign´e, France
+Correspondence should be addressed to Renaud S´eguier,
+Received 5 January 2009; Revised 2 September 2009; Accepted 20 October 2009
+Recommended by Kenneth M. Lam
+Active Appearance Models (AAMs) are able to align ef‌f‌iciently known faces under duress, when face pose and illumination are
+ontrolled. We propose Adapted Active Appearance Models to align unknown faces in unknown poses and illuminations. Our
+proposal is based on the one hand on a specific transformation of the active model texture in an oriented map, which changes the
+AAM normalization process; on the other hand on the research made in a set of different precomputed models related to the most
+dapted AAM for an unknown face. Tests on public and private databases show the interest of our approach. It becomes possible
+to align unknown faces in real-time situations, in which light and pose are not controlled.
+Copyright © 2009 Renaud S´eguier 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"

+789389dce27ad72adad251c81734bdb6c274c30f,3D Facial Feature Localization for Registration,"D Facial Feature Localization for Registration
+Albert Ali Salah and Lale Akarun
+Bo˘gazi¸ci University
+Computer Engineering Department, Turkey
+Perceptual Intelligence Laboratory
+{salah,"

+78a2a964b61308f683fae6f3a62e3a8aece51bae,Functional Neuroimaging of the Interaction between Social and Executive Neural Circuitry in Individuals with High- Functioning Autism,"FUNCTIONAL NEUROIMAGING OF THE INTERACTION BETWEEN SOCIAL
+AND EXECUTIVE NEURAL CIRCUITRY IN INDIVIDUALS WITH HIGH-
+FUNCTIONING AUTISM
+Kimberly Lynn Hills Carpenter
+A dissertation submitted to the faculty of the University of North Carolina at Chapel
+Hill in partial fulfillment of the requirements for the degree of Doctor of Philosophy in
+the Curriculum in Neurobiology
+Chapel Hill
+Approved By:
+Dr. Aysenil Belger
+Dr. Jim Bodfish
+Dr. Gabriel Dichter
+Dr. Kevin LaBar
+Dr. Joseph Piven
+Dr. Aldo Rustioni"

+781d3550f54f3b4bfbd99ca9957aba6d6dec990e,Regularized Kernel Discriminant Analysis With a Robust Kernel for Face Recognition and Verification,"This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.
+Brief Papers
+Regularized Kernel Discriminant Analysis With a Robust
+Kernel for Face Recognition and Verification
+Stefanos Zafeiriou, Georgios Tzimiropoulos, Maria Petrou,
+nd Tania Stathaki"

+78045e2b93745b16a174137074e430ccd5ff53ff,Hedging Deep Features for Visual Tracking.,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
+Hedging Deep Features for Visual Tracking
+Yuankai Qi, Shengping Zhang, Lei Qin, Qingming Huang, Hongxun Yao, Jongwoo Lim, and Ming-Hsuan Yang"

+78342d17c6c6fff00cf1b20602f3213a3f61ba56,Collaborative Discriminant Locality Preserving Projections With its Application to Face Recognition,"Collaborative Discriminant Locality Preserving Projections With its Application
+to Face Recognition
+Sheng Huanga,c, Dan Yanga,b,∗, Dong Yangc, Ahmed Elgammalc
+College of Computer Science at Chongqing University, Chonqing, 400044, China
+School of Software Engineering at Chongqing University Chonqing, 400044, China
+Department of Computer Science at Rutgers University, Piscataway, NJ, 08854, USA"

+78f438ed17f08bfe71dfb205ac447ce0561250c6,Bridging the Semantic Gap : Image and video Understanding by Exploiting Attributes,

+78f7304ba4c853c568dc4e38fef35aa2c003e3f3,Modeling correlations in spontaneous activity of visual cortex with centered Gaussian-binary deep Boltzmann machines,"visual cortex with centered Gaussian-binary deep
+Boltzmann machines
+Nan Wang
+Institut f¨ur Neuroinformatik
+Ruhr-Universit¨at Bochum
+Bochum, 44780, Germany
+Dirk Jancke
+Institut f¨ur Neuroinformatik
+Ruhr-Universit¨at Bochum
+Bochum, 44780, Germany
+Laurenz Wiskott
+Institut f¨ur Neuroinformatik
+Ruhr-Universit¨at Bochum
+Bochum, 44780, Germany"

+78c9a63be8e07dc6acb90f4fe3f06821719eaa34,Hierarchical online domain adaptation of deformable part-based models,"Hierarchical online domain adaptation of deformable part-based models
+Jiaolong Xu1, David V´azquez2, Krystian Mikolajczyk3 and Antonio M. L´opez1"

+7882c67f555b761e10ecc70216db25382890d9d7,Automated Characterization of Stenosis in Invasive Coronary Angiography Images with Convolutional Neural Networks,"Automated Characterization of Stenosis in Invasive Coronary Angiography Images with Convolutional
+Neural Networks"

+781c2553c4ed2a3147bbf78ad57ef9d0aeb6c7ed,Tubelets: Unsupervised Action Proposals from Spatiotemporal Super-Voxels,"Int J Comput Vis
+DOI 10.1007/s11263-017-1023-9
+Tubelets: Unsupervised Action Proposals from Spatiotemporal
+Super-Voxels
+Mihir Jain1
+Cees G. M. Snoek1
+· Jan van Gemert2 · Hervé Jégou3 · Patrick Bouthemy3 ·
+Received: 25 June 2016 / Accepted: 18 May 2017
+© The Author(s) 2017. This article is an open access publication"

+7803206f024ba6887d93e8aec91dd0097ffc5165,Automatic detection of facial actions from 3D data,"Automatic Detection of Facial Actions from 3D Data
+Arman Savran
+Electrical and Electronics Engineering Department
+Bo˘gazic¸i University, Istanbul, Turkey
+B¨ulent Sankur"

+78598c69201cccfc060d47fc0415f2f9365035fc,A Taught-Obesrve-Ask (TOA) Method for Object Detection with Critical Supervision,"A Taught-Obesrve-Ask (TOA) Method for Object
+Detection with Critical Supervision
+Chi-Hao Wu, Qin Huang, Siyang Li, and C.-C. Jay Kuo, Fellow, IEEE"

+78a144d5dce1a61c92420e77c11116f541a7617f,Box Aggregation for Proposal Decimation: Last Mile of Object Detection,"Box Aggregation for Proposal Decimation: Last Mile of Object Detection
+The Chinese University of Hong Kong ♯Stanford University ‡Shanghai Jiao Tong University
+Shu Liu† Cewu Lu♯,‡
+Jiaya Jia†"

+78df7d3fdd5c32f037fb5cc2a7c104ac1743d74e,Temporal Pyramid Pooling-Based Convolutional Neural Network for Action Recognition,"TEMPORAL PYRAMID POOLING CNN FOR ACTION RECOGNITION
+Temporal Pyramid Pooling Based Convolutional
+Neural Network for Action Recognition
+Peng Wang, Yuanzhouhan Cao, Chunhua Shen, Lingqiao Liu, and Heng Tao Shen"

+78fdf2b98cf6380623b0e20b0005a452e736181e,Dense Wide-Baseline Stereo with Varying Illumination and its Application to Face Recognition,

+7858410077f9ba94ca60d0f6b4d29509e46a4ef9,Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning,"Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning
+Soravit Changpinyo
+U. of Southern California
+Los Angeles, CA
+Wei-Lun Chao
+Los Angeles, CA
+U. of Southern California
+U. of Southern California
+Fei Sha
+Los Angeles, CA"

+787c1bb6d1f2341c5909a0d6d7314bced96f4681,"Face Detection and Verification in Unconstrained Videos: Challenges, Detection, and Benchmark Evaluation","Face Detection and Verification in Unconstrained
+Videos: Challenges, Detection, and Benchmark
+Evaluation
+Mahek Shah
+IIIT-D-MTech-CS-GEN-13-106
+July 16, 2015
+Indraprastha Institute of Information Technology, Delhi
+Thesis Advisors
+Dr. Mayank Vatsa
+Dr. Richa Singh
+Submitted in partial fulfillment of the requirements
+for the Degree of M.Tech. in Computer Science
+(cid:13) Shah, 2015
+Keywords: face recognition, face detection, face verification"

+7808937b46acad36e43c30ae4e9f3fd57462853d,Describing people: A poselet-based approach to attribute classification,"Describing People: A Poselet-Based Approach to Attribute Classification ∗
+Lubomir Bourdev1,2, Subhransu Maji1 and Jitendra Malik1
+EECS, U.C. Berkeley, Berkeley, CA 94720
+Adobe Systems, Inc., 345 Park Ave, San Jose, CA 95110"

+7809a42a833b49725f3a4bb8f70f63f4d2cee11c,Detection of Person in A Group of People Using 3-D Based Model,"Detection of Person in A Group of People Using 3-D Based Model
+Dr. P. Srirama Chandra Murty1, Ch. Anuradha2, Dr. Syed Muneer3
+Assistant Professor, Dept. of  Computer Science and Engineering, ANUCET, Acharya Nagarjuna
+University, Guntur, India
+Asst. Professor, Dept. of Computer Science and Engineering, PNC & Vijay Institute of Engineering
+Computer Professional, Dept. of Computer Science and Engineering, ANUCET, Acharya Nagarjuna
+nd Technology, Guntur, Andhra Pradesh, India.
+University, Guntur, Andhra Pradesh, India"

+788a3faa14ca191d7f187b812047190a70798428,Interpretable Set Functions,"Interpretable Set Functions
+Andrew Cotter, Maya Gupta, Heinrich Jiang,
+James Muller, Taman Narayan, Serena Wang, Tao Zhu
+600 Amphitheatre Parkway, Mountain View, CA 94043
+Google Research"

+780772a69b1556d5f725630dff8e79ec3ccb46bb,FieldSAFE: Dataset for Obstacle Detection in Agriculture,"FieldSAFE: Dataset for Obstacle Detection in Agriculture
+Mikkel Kragh∗1, Peter Christiansen∗1, Morten S. Laursen1, Morten Larsen2, Kim
+A. Steen3, Ole Green3, Henrik Karstoft1 and Rasmus N. Jørgensen1
+Department of Engineering, Aarhus University, Denmark
+Conpleks Innovation ApS, Struer, Denmark
+AgroIntelli, Aarhus, Denmark"

+8b2c090d9007e147b8c660f9282f357336358061,Emotion Classification based on Expressions and Body Language using Convolutional Neural Networks,"Lake Forest College
+Lake Forest College Publications
+Senior Theses
+-23-2018
+Student Publications
+Emotion Classification based on Expressions and
+Body Language using Convolutional Neural
+Networks
+Aasimah S. Tanveer
+Lake Forest College,
+Follow this and additional works at: https://publications.lakeforest.edu/seniortheses
+Part of the Neuroscience and Neurobiology Commons
+Recommended Citation
+Tanveer, Aasimah S., ""Emotion Classification based on Expressions and Body Language using Convolutional Neural Networks""
+(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"

+8b607928c7af70259a9f8af9e08e28e6037411c8,Bayesian teaching of image categories,"Bayesian teaching of image categories
+Wai Keen Vong∗
+Ravi B. Sojitra*
+Newark, NJ, 07102
+Anderson Reyes
+Scott Cheng-Hsin Yang
+Patrick Shafto
+Department of Mathematics and Computer Science, 110 Warren Street,"

+8b9c53e7d65ba7a7be3d588d00481f2ff49b5ef4,Orienting in response to gaze and the social use of gaze among children with autism spectrum disorder.,23Journal of Autism andDevelopmental Disorders ISSN 0162-3257Volume 43Number 7 J Autism Dev Disord (2013)43:1584-1596DOI 10.1007/s10803-012-1704-8Orienting in Response to Gaze and theSocial Use of Gaze among Children withAutism Spectrum DisorderAdrienne Rombough & Grace Iarocci

+8bddd0afd064e2d45ab6cf9510f2631f7438c17b,Outlier Detection using Generative Models with Theoretical Performance Guarantees,"Outlier Detection using Generative Models with
+Theoretical Performance Guarantees∗
+Jirong Yi†
+Anh Duc Le‡
+Tianming Wang§
+Xiaodong Wu¶
+Weiyu Xu(cid:107)
+October 29, 2018"

+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"

+8b26744e11e5f226f187bf903b88933c5b0fcdc0,Cost-Effective Class-Imbalance Aware CNN for Vehicle Localization and Categorization in High Resolution Aerial Images,"Article
+Cost-Effective Class-Imbalance Aware CNN for
+Vehicle Localization and Categorization in High
+Resolution Aerial Images
+Feimo Li 1,2,*, Shuxiao Li 1,2,*, Chengfei Zhu 1,2, Xiaosong Lan 1,2 and Hongxing Chang 1,2
+Institute of Automation Chinese Academy of Sciences, Beijing 100190, China;
+(C.Z.); (X.L.); (H.C.)
+University of Chinese Academy of Science, Beijing 100049, China
+* Correspondence: (F.L.); (S.L.);
+Tel.: +86-188-0012-4228 (F.L.); +86-138-1077-1030 (S.L.)
+Academic Editors: Qi Wang, Nicolas H. Younan, Carlos López-Martínez, Gonzalo Pajares Martinsanz,
+Xiaofeng Li and Prasad S. Thenkabail
+Received: 26 February 2017; Accepted: 15 May 2017; Published: 18 May 2017"

+8bf57dc0dd45ed969ad9690033d44af24fd18e05,Subject-Independent Emotion Recognition from Facial Expressions using a Gabor Feature RBF Neural Classifier Trained with Virtual Samples Generated by Concurrent Self-Organizing Maps,"Subject-Independent Emotion Recognition from Facial Expressions
+using a Gabor Feature RBF Neural Classifier Trained with Virtual
+Samples Generated by Concurrent Self-Organizing Maps
+VICTOR-EMIL NEAGOE, ADRIAN-DUMITRU CIOTEC
+Depart. Electronics, Telecommunications & Information Technology
+Polytechnic University of Bucharest
+Splaiul Independentei No. 313, Sector 6, Bucharest,
+ROMANIA"

+8bdbb685174d6023e63c55fdf9ad9b2ac78e79bd,Learning Human Poses from Actions-Supplementary Material,"ADITYA, JAWAHAR, PAWAN: LEARNING HUMAN POSES FROM ACTIONS
+Learning Human Poses from Actions -
+Supplementary Material
+Aditya Arun1
+C.V. Jawahar1
+M. Pawan Kumar2
+IIIT Hyderabad
+University of Oxford &
+The Alan Turing Institute
+In this supplementary material, we provide additional details on optimization of our
+learning objective, implementation details, and visualization of the learning process. We
+lso provide additional results of training a different architecture for human pose estimation
+on two data sets.
+Optimization
+In this section, we provide details of optimization presented in section 3.5 of the paper.
+.1 Learning Objective
+We represent the prediction distribution using a DISCO Net, which we denote by Prw, w
+eing the parameter of the network. Similarly, we represent the conditional distribution using
+set of DISCO Nets, which we denote by Prθθθ . The set of parameters for the conditional
+networks is denoted by θθθ. We compute samples from the prediction network as {hw"

+8b9f529700a93a2ff6e227c76a1333883a1f6213,PREMOC: Plataforma de reconocimiento multimodal de emociones,"PREMOC: Plataforma de reconocimiento multimodal
+de emociones
+Ramón Zatarain-Cabada, María Lucia Barrón-Estrada, Gilberto Muñoz-Sandoval
+Instituto Tecnológico de Culiacán, Culiacán, Sinaloa,
+México
+{rzaratain, lbarron,
+Resumen.  En  años  recientes  la  computación  afectiva  ha  venido  a  mejorar  la
+interacción  humano-computadora,  pues  ayuda  a  la  computadora  a  conocer  el
+estado  afectivo  del  usuario  para  mejorar  la  toma  de  decisiones.  Este  artículo
+presenta  los  avances  en  el  proyecto  PREMOC,  una  plataforma  que  brinda  un
+servicio web para el reconocimiento de emociones en texto, imágenes de rostros,
+sonidos de voz y señales EEG de manera mono-modal y multimodal. PREMOC
+yuda  a  los  desarrolladores  a  integrar  el  reconocimiento  de  afecto  a  sus
+plicaciones  o  sistemas  de  software.  Cada  uno  de  los  reconocedores  se
+implementó aplicando diferentes técnicas tanto para extraer características como
+para  clasificar  emociones;  además  para  el  reconocimiento  multimodal  se
+integraron  las  emociones  mediante  un  sistema  difuso.  Esta  plataforma  ya  está
+siendo  utilizada  por  diferentes  proyectos  en  el  laboratorio  de  la  Maestría  en
+Ciencias de la Computación del Instituto Tecnológico de Culiacán.
+Palabras  claves:  Computación  afectiva,  inteligencia  artificial,  reconocimiento"

+8b8b3375bc51ae357528a1f015c4d094418c9f71,"An Efficient Feature Extraction Method, Global Between Maximum and Local Within Minimum, and Its Applications","Hindawi Publishing Corporation
+Mathematical Problems in Engineering
+Volume 2011, Article ID 176058, 15 pages
+doi:10.1155/2011/176058
+Research Article
+An Efficient Feature Extraction Method,
+Global Between Maximum and Local Within
+Minimum, and Its Applications
+Lei Wang,1, 2 Jiangshe Zhang,1, 2 and Fei Zang1, 2
+School of Science, Xi’an Jiaotong University, Xi’an 710049, China
+State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University,
+Xi’an 710049, China
+Correspondence should be addressed to Lei Wang,
+Received 28 March 2011; Revised 16 April 2011; Accepted 18 April 2011
+Academic Editor: Jyh Horng Chou
+Copyright q 2011 Lei Wang et al. This is an open access article distributed under the Creative
+Commons Attribution License, which permits unrestricted use, distribution, and reproduction in
+ny medium, provided the original work is properly cited.
+Feature extraction plays an important role in preprocessing procedure in dealing with small
+sample size problems. Considering the fact that LDA, LPP, and many other existing methods are"

+8b744786137cf6be766778344d9f13abf4ec0683,And Summarization by Sub-modular Inference,"978-1-4799-9988-0/16/$31.00 ©2016 IEEE
+ICASSP 2016"

+8b879863237d315997857a5585afb2bbbf78c622,Social Network Analysis as a Tool for Improving Enterprise Architecture,"Proceedings of the 5th International KES Symposium on Agents and Multi-agent
+Systems, KES-AMSTA 2011. Manchester, UK, June 29 - July 1, 2011
+Lecture Notes in Artificial Intelligence LNAI, Volume 6682, 2011,  pp. 651-660
+DOI: 10.1007/978-3-642-22000-5_67
+Social Network Analysis as a Tool
+for Improving Enterprise Architecture
+Przemysław Kazienko, Radosław Michalski, Sebastian Palus
+Institute of Informatics, Wrocław University of Technology
+Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland
+{kazienko, radoslaw.michalski,"

+8bb4d90d5b97e8d08d2aaa99e9c075a506b3108a,Generating Diverse Clusterings,"Generating Diverse Clusterings
+Anonymous Author(s)"

+8b64dbeac77fe8d6bf440311337451f9f61b9ea0,Image-based approaches to hair modeling,"Image-Based Approaches to Hair Modeling
+Dissertation
+Erlangung des Doktorgrades (Dr. rer. nat)
+Mathematisch-Naturwissenschaftlichen Fakult¨at
+Rheinischen Friedrich-Wilhelms-Universit¨at Bonn
+vorgelegt von
+Tom´as Lay Herrera
+Havanna
+Bonn, November 2012"

+8bbafa3efb7b96adb95128ea2a30a363bfe06812,Towards usable authentication on mobile phones: An evaluation of speaker and face recognition on off-the-shelf handsets,"Towards usable authentication on mobile phones: An
+evaluation of speaker and face recognition on off-the-shelf
+handsets
+Rene Mayrhofer
+University of Applied Sciences Upper Austria
+Softwarepark 11, A-4232 Hagenberg, Austria
+University of Applied Sciences Upper Austria
+Softwarepark 11, A-4232 Hagenberg, Austria
+Thomas Kaiser
+hagenberg.at"

+8bf647fed40bdc9e35560021636dfb892a46720e,Learning to hash-tag videos with Tag2Vec,"Learning to Hash-tag Videos with Tag2Vec
+Aditya Singh
+Saurabh Saini
+Rajvi Shah
+CVIT, KCIS, IIIT Hyderabad, India
+P J Narayanan
+http://cvit.iiit.ac.in/research/projects/tag2vec
+Figure 1. Learning a direct mapping from videos to hash-tags : sample frames from short video clips with user-given hash-tags
+(left); a sample frame from a query video and hash-tags suggested by our system for this query (right)."

+8b2f99b0106143fd0193fcbf2b07eba80dc7f8dd,Enhancing Recommender Systems for TV by Face Recognition,

+8b29ee0a47efc11071ab8baec8369fd54970bfbb,Features Extraction for Low-Power Face Verification,"Thèse présentée à la faculté des sciences pour
+l’obtention du grade de docteur ès sciences
+Features Extraction for
+Low-Power Face Verification
+Patrick Stadelmann
+Acceptée sur proposition du jury :
+Prof. Fausto Pellandini, directeur de thèse
+PD Dr. Michael Ansorge, co-directeur de thèse
+Prof. Pierre-André Farine, rapporteur
+Dr. Nicolas Blanc, rapporteur
+Soutenue le 23 mai 2008
+Institut de Microtechnique
+Université de Neuchâtel"

+8b20737b454fa8c2848979b5c76be9915a65a75f,Automated Object Recognition Using Multiple X-ray Views,"Automated Object Recognition
+Using Multiple X-ray Views
+Domingo Mery1 – Vladimir Riffo1, 2
+Department of Computer Science, Pontificia
+Universidad Católica de Chile.
+Department of Computer Engineering and
+Computer Science, Universidad de Atacama.
+Av. Vicuña Mackenna 4860(143) – Santiago de
+Chile.
+Av. Copayapu 485 – Copiapó, Chile.
+http://dmery.ing.puc.cl
+http://www.ing.puc.cl/~vriffo1"

+8bb21b1f8d6952d77cae95b4e0b8964c9e0201b0,Multimodal Interaction on a Social Robotic Platform,"Methoden
+t 11/2013
+(cid:2)(cid:2)(cid:2)
+Multimodale Interaktion
+uf einer sozialen Roboterplattform
+Multimodal Interaction on a Social Robotic Platform
+Jürgen Blume
+Korrespondenzautor:
+, Tobias Rehrl, Gerhard Rigoll, Technische Universität München
+Zusammenfassung Dieser Beitrag beschreibt die multimo-
+dalen Interaktionsmöglichkeiten mit der Forschungsroboter-
+plattform ELIAS. Zunächst wird ein Überblick über die Ro-
+oterplattform sowie die entwickelten Verarbeitungskompo-
+nenten gegeben, die Einteilung dieser Komponenten erfolgt
+nach dem Konzept von wahrnehmenden und agierenden Mo-
+dalitäten. Anschließend wird das Zusammenspiel der Kom-
+ponenten in einem multimodalen Spieleszenario näher be-
+trachtet. (cid:2)(cid:2)(cid:2) Summary
+This paper presents the mul-
+timodal"

+8b1db0894a23c4d6535b5adf28692f795559be90,How Reliable are Your Visual Attributes?,"Biometric and Surveillance Technology for Human and Activity Identification X, edited by Ioannis Kakadiaris,
+Walter J. Scheirer, Laurence G. Hassebrook, Proc. of SPIE Vol. 8712, 87120Q · © 2013 SPIE
+CCC code: 0277-786X/13/$18 · doi: 10.1117/12.2018974
+Proc. of SPIE Vol. 8712  87120Q-1
+From: http://proceedings.spiedigitallibrary.org/ on 06/07/2013 Terms of Use: http://spiedl.org/terms"

+8bff7353fa4f75629ea418ca8db60477a751db93,Invariance of Weight Distributions in Rectified MLPs,"Invariance of Weight Distributions in Rectified MLPs
+Russell Tsuchida 1 Farbod Roosta-Khorasani 2 3 Marcus Gallagher 1"

+8b9db19d0d3e2a7d740be811810a043a04d6226a,An Attention-based Regression Model for Grounding Textual Phrases in Images,Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)

+8bda09b2fb85c317c6361aee1935bcbcf87c1c70,Score Normalization in Multimodal Systems using Generalized Extreme Value Distribution,"Score Normalization in Multimodal
+Systems using Generalized Extreme Value
+Distribution
+Renu Sharma1, 2                  1Centre for Development of Advanced Computing,
+Mumbai, India
+Sukhendu Das2                   2Indian Institute of Technology, Madras, India
+Padmaja Joshi1"

+8b632db02220806cd62e35fdebb3ede58243dee0,Recognizing Partially Occluded Faces from a Single Sample Per Class Using String-Based Matching,"Recognizing Partially Occluded Faces from a
+Single Sample Per Class Using String-Based
+Matching
+Weiping Chen1 and Yongsheng Gao1,2
+School of Engineering, Grif‌f‌ith University, Australia
+National ICT Australia, Queensland Research Lab"

+8b9e94fb3bb64389e9765ffde365862231b5972c,Fast Eye Tracking and Feature Measurement using a Multi-stage Particle Filter,

+8bba26895022749e2273729f96051571eabc7b99,Natural language acquisition in recurrent neural architectures,"Natural Language Acquisition in
+Recurrent Neural Architectures
+Dissertation
+submitted to the Universität Hamburg,
+Faculty of Mathematics,
+Informatics
+nd Natural Sciences, Department
+fulfilment
+of the requirements for the degree of
+Doctor rerum naturalium (Dr. rer. nat.)
+Informatics,
+in partial
+Dipl.-Inform. Stefan Heinrich
+Hamburg, 2016"

+135fcdab631ab30ae837a743040f1c8751268e41,DeepStyle: Multimodal Search Engine for Fashion and Interior Design,"SUBMITTED TO IEEE TRANSACTIONS ON MULTIMEDIA
+DeepStyle: Multimodal Search Engine
+for Fashion and Interior Design
+Ivona Tautkute1, 3, Tomasz Trzci´nski2, 3, Aleksander Skorupa3, Lukasz Brocki1 and Krzysztof Marasek1"

+139bb2a4034a0498934185e8c6d515d8f9330e2a,One-Shot Segmentation in Clutter,"One-Shot Segmentation in Clutter
+Claudio Michaelis 1 2 Matthias Bethge 1 2 3 4 Alexander S. Ecker 1 2 4"

+13f9922632ff5311046229b849615fcd2f5d0c06,On Multi-scale differential features for face recognition,"On Multi-scale differential features for face recognition
+Center for Intelligent Information Retrieval
+S. Ravela
+Allen R. Hanson
+Vision Laboratory
+Dept. of Computer Science, University of Massachusetts at Amherst, MA, 01002"

+135fe2a0a0e6b726e5d81299edad4b3ce39d6614,Multichannel-Kernel Canonical Correlation Analysis for Cross-View Person Reidentification,"This is a pre-print version, the final version of the manuscript with more experiments can be found at:
+https://doi.org/10.1145/3038916
+Multi Channel-Kernel Canonical Correlation
+Analysis for Cross-View Person Re-Identification
+Giuseppe Lisanti, Svebor Karaman, Iacopo Masi"

+13a82da2bfa24583caf78ab1d14b5cfa4798b3b3,Robust face hallucination using quantization-adaptive dictionaries,"Robust Face Hallucination using
+Quantization-Adaptive Dictionaries
+Reuben Farrugia
+Christine Guillemot
+IEEE Int. Conf. on Image Processing, Arizona, USA
+6th September 2016"

+137457bbf46009b25d7f6d853083b6da02bfd6b9,Following Eye Gaze Activates a Patch in the Posterior Temporal Cortex That Is not Part of the Human “Face Patch” System,"New Research
+Cognition and Behavior
+Following Eye Gaze Activates a Patch in the
+Posterior Temporal Cortex That Is not Part of the
+Human “Face Patch” System
+Kira Marquardt,1,ⴱ Hamidreza Ramezanpour,1,2,3,ⴱ Peter W. Dicke,1 and Peter Thier1,4
+DOI:http://dx.doi.org/10.1523/ENEURO.0317-16.2017
+Department of Cognitive Neurology, Hertie Institute for Clinical Brain Research, 72076 Tübingen, Germany,
+Graduate School of Neural and Behavioural Sciences, University of Tübingen, 72074 Tübingen, Germany,
+International Max Planck Research School for Cognitive and Systems Neuroscience, University of Tübingen, 72074
+Tübingen, Germany, 4Werner Reichardt Centre for Integrative Neuroscience (CIN), University of Tübingen, 72076
+Tübingen, Germany"

+13ab059e6b592ca7bcb14337316ec1ac14aa5c5a,Constrained planar cuts - Object partitioning for point clouds,"Constrained Planar Cuts - Object Partitioning for Point Clouds
+Markus Schoeler, Jeremie Papon and Florentin W¨org¨otter
+Bernstein Center for Computational Neuroscience (BCCN)
+III Physikalisches Institut - Biophysik, Georg-August University of G¨ottingen"

+13b2e01030ae41983003e3ae53b5bb3ed3e764f0,Detection-Tracking for Efficient Person Analysis: The DetTA Pipeline,"Detection-Tracking for Efficient Person Analysis: The DetTA Pipeline
+Stefan Breuers1, Lucas Beyer1, Umer Rafi1, Bastian Leibe1"

+130bf256f4cc3dded4fb701f74f6a34992be639b,A Robust Multiwavelet-Based Watermarking Scheme for Copyright Protection of Digital Images Using Human Visual System,"The International Arab Journal of Information Technology, Vol. 10, No. 6, November 2013                                                               527
+A Robust Multiwavelet-Based Watermarking
+Scheme for Copyright Protection of Digital
+Images using Human Visual System
+Padmanabhareddy Vundela1 and Varadarajan Sourirajan2
+Department of Information Technology, Vardhaman College of Engineering, India
+Department of Electrical and Electronic Engineering, S.V. University College of Engineering, India"

+13f8c13cfbf2a504f02745bd44da4ac40fd8f8df,Feature Sets and Dimensionality Reduction for Visual Object Detection,"Author manuscript, published in ""British Machine Vision Conference, Aberystwyth :
+Royaume-Uni (2010)""
+DOI : 10.5244/C.24.112"

+134db6ca13f808a848321d3998e4fe4cdc52fbc2,Dynamics of facial expression: recognition of facial actions and their temporal segments from face profile image sequences,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 36, NO. 2, APRIL 2006
+Dynamics of Facial Expression: Recognition of
+Facial Actions and Their Temporal Segments
+From Face Profile Image Sequences
+Maja Pantic, Member, IEEE, and Ioannis Patras, Member, IEEE"

+133dd0f23e52c4e7bf254e8849ac6f8b17fcd22d,Active Clustering with Model-Based Uncertainty Reduction,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
+Active Clustering with Model-Based
+Uncertainty Reduction
+Caiming Xiong, David M. Johnson, and Jason J. Corso Senior Member, IEEE"

+13f03aab62fc29748114a0219426613cf3ba76ae,MORPH-II: Feature Vector Documentation,"MORPH-II: Feature Vector Documentation
+Troy P. Kling
+NSF-REU Site at UNC Wilmington, Summer 2017
+MORPH-II Subsets
+Four different subsets of the MORPH-II database were selected for a wide range of purposes, including age
+estimate, gender and race classification, and facial recognition.
+• The “Full” data set contains all 55,134 mugshots [1].
+• The “Partial” data set contains 1,000 mugshots randomly selected from the full data set.
+• The “Partial (Even)” data set contains 1,000 mugshots selected from the full data set according to very
+strict rules and is intended mainly for age estimation tasks. The subjects range in age from 21 to 45,
+with exactly 40 subjects in each age category (thus the term “even” in the name of the data set). Of
+these 40 subjects in each age group, exactly 30 are male and 10 are female, giving rise to a 3:1 gender
+ratio. Additionally, half of the males in each age group are black, and the same goes for the females,
+so there is a precise 1:1 ratio of black to white individuals. No subject is represented more than once
+in this data set, so it should not be used for face recognition tasks.
+• The “Recognition” data set contains 1,660 mugshots selected from the full data set according to certain
+rules and is intended to be used for facial recognition tasks. There are 166 subjects present in the data
+set – 83 males and 83 females – each of whom has exactly 10 images, usually taken over the span of
+multiple years. No restrictions on age or race were placed on this data set.
+Image Preprocessing"

+134fe1c4f45cea3339c094fee817e7a024d73d88,Inferring door locations from a teammate's trajectory in stealth human-robot team operations,"Inferring door locations from a teammate’s trajectory in stealth
+human-robot team operations
+Jean Oh, Luis Navarro-Serment, Arne Supp´e, Anthony Stentz and Martial Hebert1"

+1369e9f174760ea592a94177dbcab9ed29be1649,Geometrical facial modeling for emotion recognition,"Geometrical Facial Modeling for Emotion Recognition
+Giampaolo L. Libralon and Roseli A. F. Romero"

+133900a0e7450979c9491951a5f1c2a403a180f0,Social Grouping for Multi-Target Tracking and Head Pose Estimation in Video,"JOURNAL OF LATEX CLASS FILES
+Social Grouping for Multi-target Tracking and
+Head Pose Estimation in Video
+Zhen Qin and Christian R. Shelton"

+131059ea24073d08de0bd153f9caddc123911e51,Facial emotional recognition in schizophrenia: preliminary results of the Virtual Reality Program for Facial Emotional Recognition Reconhecimento emocional de faces na esquizofrenia: resultados preliminares do Programa de Realidade Virtual para o Reconhecimento Emocional de Faces,"Facial emotional recognition in schizophrenia: preliminary results of the Virtual
+Reality Program for Facial Emotional Recognition
+Reconhecimento emocional de faces na esquizofrenia: resultados preliminares do Programa de Realidade Virtual
+para o Reconhecimento Emocional de Faces
+Teresa souTo1,2, alexandre BapTisTa1, diana Tavares1,3, CrisTina Queirós1,2, anTónio MarQues1,3
+Psychosocial Rehabilitation Laboratory of Faculty of Psychology and Educational Sciences, Porto University/School of Allied Health Sciences, Porto Polytechnic Institute (FPCEUP/ESTSPIPP), Porto,
+Portugal.
+FPCEUP, Porto, Portugal.
+ESTSPIPP, Porto, Portugal.
+Institution where the study was elaborated: Faculty of Psychology and Educational Sciences, Porto University, Portugal.
+Received: 11/6/2012 – Accepted: 2/14/2013"

+13b8d657f0f9a0178339570bdc153bfd10a81300,Harvesting large-scale weakly-tagged image databases from the web,"Harvesting Large-Scale Weakly-Tagged Image Databases from the Web
+Jianping Fan1, Yi Shen1, Ning Zhou1, Yuli Gao2
+Department of Computer Science, UNC-Charlotte, NC28223, USA
+Multimedia Interaction and Understanding, HP Labs, Palo Alto, CA94304, USA"

+13db9466d2ddf3c30b0fd66db8bfe6289e880802,Transfer Subspace Learning Model for Face Recognition at a Distance,"I.J. Image, Graphics and Signal Processing, 2017, 1, 27-32
+Published Online January 2017 in MECS (http://www.mecs-press.org/)
+DOI: 10.5815/ijigsp.2017.01.04
+Transfer Subspace Learning Model for Face
+Recognition at a Distance
+Alwin Anuse
+MIT, Pune ,India
+Email:
+Nilima Deshmukh
+AISSM’S IOT,India
+Email:
+Vibha Vyas
+College of Engineering Pune,India
+Email:
+learning  algorithms  work"

+13ec6666b8b722ad9eb68a21a302e3f2f1ab4df7,Biometric Human Identification of Hand Geometry Features Using Discrete Wavelet Transform,"Biometric Human Identification of Hand
+Geometry Features Using Discrete
+Wavelet Transform
+Osslan Osiris Vergara Villegas, Humberto de Jesús Ochoa Domínguez,
+Vianey Guadalupe Cruz Sánchez, Leticia Ortega Maynez
+nd Hiram Madero Orozco
+Universidad Autónoma de Ciudad Juárez
+Instituto de Ingeniería y Tecnología
+Mexico
+. Introduction
+Since the security factor became a basic need for civilization, a lot of systems have been
+developed. Those systems, try to ensure the safety in all the things that driving a certain
+degree of exclusivity. Historically, keys, cards and passwords were used as security systems;
+however, these methods are vulnerable to loss and theft. As a result biometric identification
+methods emerge in order to tackle the disadvantages of the non biometric classical methods.
+Biometrics,
+is an emerging technology that addresses the automated identification of
+individuals, based on their physiological and behavioral traits. The main advantage of
+iometric methods is the ability to recognize, which is made by means of a physical feature or
+unique pattern (Jain et al. (2008)). With these methods and individual can hardly be victim"

+13ae3c8afef5a0d6f4c9e684da9fc1fa96caaeb6,Online Anomaly Detection in Crowd Scenes via Structure Analysis,"Online Anomaly Detection in Crowd Scenes
+via Structure Analysis
+Yuan Yuan, Senior Member, IEEE, Jianwu Fang, and Qi Wang"

+13caf4d2e0a4b6fcfcd4b9e8e2341b8ebd38258d,Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association,"Joint Learning of Siamese CNNs and Temporally
+Constrained Metrics for Tracklet Association
+Bing Wang, Student Member, IEEE, Li Wang, Member, IEEE, Bing Shuai, Student Member, IEEE,
+Zhen Zuo, Student Member, IEEE, Ting Liu, Student Member, IEEE, Kap Luk Chan, Member, IEEE, and
+Gang Wang, Member, IEEE"

+13aac86217231a7d118ecdff444ee07234fcff50,Classification via Incoherent Subspaces,"Classification via Incoherent Subspaces
+Karin Schnass, Pierre Vandergheynst, Senior Member, IEEE"

+13141284f1a7e1fe255f5c2b22c09e32f0a4d465,Object Tracking by Oversampling Local Features,"Object Tracking by
+Oversampling Local Features
+Federico Pernici and Alberto Del Bimbo"

+1394ca71fc52db972366602a6643dc3e65ee8726,EmoReact: a multimodal approach and dataset for recognizing emotional responses in children,"See	discussions,	stats,	and	author	profiles	for	this	publication	at:	https://www.researchgate.net/publication/308407783
+EmoReact:	A	Multimodal	Approach	and	Dataset
+for	Recognizing	Emotional	Responses	in	Children
+Conference	Paper	·	November	2016
+DOI:	10.1145/2993148.2993168
+CITATIONS
+READS
+authors,	including:
+Behnaz	Nojavanasghari
+University	of	Central	Florida
+PUBLICATIONS			20	CITATIONS
+Tadas	Baltrusaitis
+Carnegie	Mellon	University
+0	PUBLICATIONS			247	CITATIONS
+SEE	PROFILE
+SEE	PROFILE
+Charles	E.	Hughes
+University	of	Central	Florida
+85	PUBLICATIONS			1,248	CITATIONS
+SEE	PROFILE"

+135fc59c8adb8d97a0a8dacf615f1b18a2102372,Language-Based Image Editing with Recurrent Attentive Models,"Language-Based Image Editing with Recurrent Attentive Models
+Jianbo Chen∗, Yelong Shen†, Jianfeng Gao†, Jingjing Liu†, Xiaodong Liu†
+University of California, Berkeley∗ and Microsoft Research†
+yeshen, jfgao, jingjl,"

+1373195c26eab581138579f7389cdf8b7a94a4bb,Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing,"Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing
+Magnus Wrenninge1,∗ Jonas Unger1,2,†
+7D Labs
+Link¨oping University, Sweden
+Figure 1: Example image from Synscapes."

+13631379de6487fd0571e5919f4efb65d16c1633,Accelerated Inference in Markov Random Fields via Smooth Riemannian Optimization,"Accelerated Inference in Markov Random Fields
+via Smooth Riemannian Optimization
+Siyi Hu and Luca Carlone"

+133da0d8c7719a219537f4a11c915bf74c320da7,A Novel Method for 3D 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
+of Two Images using Color K-means Algorithm
+Neelam Kushwah
+Dept. of CSE
+ITM Universe
+Gwalior
+Priusha Narwariya
+Dept. of CSE
+ITM Universe
+Gwalior"

+134dd3bb637b51c61fa9d2332f11e39efc0b359a,High-level activity learning and recognition in structured environments,"High-level activity learning and recognition in
+structured environments
+John Patrick Greenall
+Submitted in accordance with the requirements
+for the degree of Doctor of Philosophy.
+The University of Leeds
+School of Computing
+June 2012"

+133f01aec1534604d184d56de866a4bd531dac87,Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics,"Effective Unconstrained Face Recognition by
+Combining Multiple Descriptors and Learned
+Background Statistics
+Lior Wolf, Member, IEEE, Tal Hassner, and Yaniv Taigman"

+13841d54c55bd74964d877b4b517fa94650d9b65,Generalised ambient reflection models for Lambertian and Phong surfaces,"Generalised Ambient Reflection Models for Lambertian and
+Phong Surfaces
+Author
+Zhang, Paul, Gao, Yongsheng
+Published
+Conference Title
+Proceedings of the 2009 IEEE International Conference on Image Processing (ICIP 2009)
+https://doi.org/10.1109/ICIP.2009.5413812
+Copyright Statement
+© 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/
+republish this material for advertising or promotional purposes or for creating new collective
+works for resale or redistribution to servers or lists, or to reuse any copyrighted component of
+this work in other works must be obtained from the IEEE.
+Downloaded from
+http://hdl.handle.net/10072/30001
+Griffith Research Online
+https://research-repository.griffith.edu.au"

+13451899558d7217206b275ca0bb1f48fa4afdd9,Hidden Markov Models Training by a Particle Swarm Optimization Algorithm,"Journal of Mathematical Modelling and Algorithms (2007) 6: 175–193
+DOI: 10.1007/s10852-005-9037-7
+# Springer 2006
+Hidden Markov Models Training by a Particle
+Swarm Optimization Algorithm
+, NICOLAS MONMARCHE´
+SE´ BASTIEN AUPETIT
+nd MOHAMED SLIMANE
+Laboratoire d’Informatique, Polytech’Tours, Universite´ Franc¸ois-Rabelais de Tours,
+64 avenue Jean Portalis, 37200 Tours, France.
+e-mail: {sebastien.aupetit, nicolas.monmarche,
+(Received 16 July 2005; in final form 22 December 2005; published online 28 February 2006)
+In this work we consider the problem of Hidden Markov Models (HMM) training. This"

+132781c1b2495ff0e792b46b94fdf33867394e4a,Autistic Traits and Symptoms of Social Anxiety are Differentially Related to Attention to Others’ Eyes in Social Anxiety Disorder,"J Autism Dev Disord (2017) 47:3814–3821
+DOI 10.1007/s10803-016-2978-z
+S.I. : ANXIETY IN AUTISM SPECTRUM DISORDERS
+Autistic Traits and Symptoms of Social Anxiety are Differentially
+Related to Attention to Others’ Eyes in Social Anxiety Disorder
+Johan Lundin Kleberg1 · Jens Högström2,3 · Martina Nord2,3 · Sven Bölte4,5 ·
+Eva Serlachius2,3 · Terje Falck‑Ytter1,4,5
+Published online: 20 December 2016
+© The Author(s) 2016. This article is published with open access at Springerlink.com"

+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
+Jian-Zhong Guo, Austin R Graves, Wendy W Guo, Jihong Zheng, Allen Lee,
+Juan Rodrı´guez-Gonza´ lez, Nuo Li, John J Macklin, James W Phillips,
+Brett D Mensh, Kristin Branson, Adam W Hantman*
+Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, United
+States"

+138778d75fc4e2fd490897ac064b9ac84b6b9f04,Generation and visualization of emotional states in virtual characters,"COMPUTER ANIMATION AND VIRTUAL WORLDS
+Comp. Anim. Virtual Worlds 2008; 19: 259–270
+Published online 25 July 2008 in Wiley InterScience
+(www.interscience.wiley.com) DOI: 10.1002/cav.234
+...........................................................................................
+Generation and visualization of
+emotional states in virtual characters
+By Diana Arellano*, Javier Varona and Francisco J. Perales
+..........................................................................
+This paper presents an affective model that determines the emotional state of a character
+ccording to the personality traits and the experienced emotions. We consider an emotional
+state as the layer between personality and emotion. The proposed affective model offers a
+mapping between emotions and emotional states. To evidence emotional states of a virtual
+haracter, we can attribute them facial expressions based on their associated emotions.
+Facial expressions for intermediate emotions are generated automatically from expressions
+for universal emotions. The experiments show coherent emotional states produced by a
+simulated story. They also present how the corresponding emotions were represented
+through dynamic and static facial expressions. Finally, the obtained results demonstrate the
+satisfactory recognition by a group of people unfamiliar with the work described. Copyright
+© 2008 John Wiley & Sons, Ltd."

+13afc4f8d08f766479577db2083f9632544c7ea6,Multiple kernel learning for emotion recognition in the wild,"Multiple Kernel Learning for
+Emotion Recognition in the Wild
+Karan Sikka, Karmen Dykstra, Suchitra Sathyanarayana,
+Gwen Littlewort and Marian S. Bartlett
+Machine Perception Laboratory
+EmotiW Challenge, ICMI, 2013"

+13c4a4359e9d7f5b2abe1b9542c0950946b0565a,Learning sparse tag patterns for social image classification,"This document is downloaded from DR-NTU, Nanyang Technological
+University Library, Singapore.
+Title
+Learning sparse tag patterns for social image
+lassification
+Author(s)
+Lin, Jie; Duan, Ling-Yu; Yuan, Junsong; Li, Qingyong;
+Luo, Siwei
+Citation
+http://hdl.handle.net/10220/12960
+Rights"

+13f07d51c073964d11f9af6463fe3ffe5475c393,"Part-Based Pedestrian Detection and Feature-Based Tracking for Driver Assistance: Real-Time, Robust Algorithms, and Evaluation","This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.
+Part-Based Pedestrian Detection and Feature-Based
+Tracking for Driver Assistance: Real-Time,
+Robust Algorithms, and Evaluation
+Antonio Prioletti, Student Member, IEEE, Andreas Møgelmose, Student Member, IEEE, Paolo Grisleri,
+Mohan Manubhai Trivedi, Fellow, IEEE, Alberto Broggi, Senior Member, IEEE, and
+Thomas B. Moeslund, Member, IEEE"

+13188a88bbf83a18dd4964e3f89d0bc0a4d3a0bd,Image Normalization Robust using Histogram Equalization and Logarithm Transform Frequency DCT Coefficients for Illumination in Facial Images,"Dr. V. S. Manjula
+HOD, Department of Computer Science, St. Joseph College of Information Technology, Songea, Tanzania"

+13e348264fe1077caa44e1b59c71e67a8e4b5ad9,Effect of Eyes Detection and Position Estimation Methods on the Accuracy of Comparative Testing of Face Detection Algorithms,"EFFECT OF EYES DETECTION AND POSITION ESTIMATION METHODS
+ON THE ACCURACY OF COMPARATIVE TESTING OF FACE
+DETECTION ALGORITHMS1
+N. Degtyarev, O. Seredin
+Tula State University, 92 Lenin Ave., Tula 300600, Russian Federation;
+Phone: +7(4872)353637; E-mail:
+Many  published  comparisons  of  face  detection  algorithms  used  different  evaluation
+procedures for each algorithm or even contain only a summary of the originally reported
+performance among several face detection algorithms on the pair of small datasets. Deg-
+tyarev et al. have proposed the FD algorithm evaluation procedure containing model of
+face  representation  conversion  unifying  the  FD  algorithms  comparison  procedures,
+which  makes  such  evaluation  more  reliable.  However,  there  is  no  evidence  that  such
+""conversion"" does not diminish the localization accuracy. The aim of this work is to ex-
+mined the effects of two different face representation conversion techniques - eyes es-
+timation  model proposed by Degtyarev et  al.  and highly scored eyes detection method
+proposed by Bolme et al. and based on ASE filters - via routine testing.
+Introduction
+Face  detection  (FD)  algorithms  are  getting
+widely used in the modern world: security sys-
+tems, interactive user interfaces, advertisement"

+13d9da779138af990d761ef84556e3e5c1e0eb94,Learning to Locate Informative Features for Visual Identification,"Int J Comput Vis (2008) 77: 3–24
+DOI 10.1007/s11263-007-0093-5
+Learning to Locate Informative Features for Visual Identification
+Andras Ferencz · Erik G. Learned-Miller ·
+Jitendra Malik
+Received: 18 August 2005 / Accepted: 11 September 2007 / Published online: 9 November 2007
+© Springer Science+Business Media, LLC 2007"

+7f511a6a2b38a26f077a5aec4baf5dffc981d881,Low-Latency Human Action Recognition with Weighted Multi-Region Convolutional Neural Network,"LOW-LATENCY HUMAN ACTION RECOGNITION WITH WEIGHTED MULTI-REGION
+CONVOLUTIONAL NEURAL NETWORK
+Yunfeng Wang(cid:63), Wengang Zhou(cid:63), Qilin Zhang†, Xiaotian Zhu(cid:63), Houqiang Li(cid:63)
+(cid:63)University of Science and Technology of China, Hefei, Anhui, China
+HERE Technologies, Chicago, Illinois, USA"

+7ff83f10e49e81ce6f66270e8f3f42dd2c6eb3ed,PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report,"PIRM Challenge on Perceptual Image Enhancement
+on Smartphones: Report
+Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X Pham, Cao Van Nguyen,
+Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou,
+Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz,
+Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Liu Hanwen, Pablo Navarrete
+Michelini, Zhu Dan, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai
+Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Nimisha
+Thekke Madam, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung ∗"

+7fa62c091a14830ae256dc00b512f7d4b4cf5b94,Stabilizing GAN Training with Multiple Random Projections,"Under review as a conference paper at ICLR 2018
+Stabilizing GAN Training with
+Multiple Random Projections
+Anonymous authors
+Paper under double-blind review"

+7ff42ee09c9b1a508080837a3dc2ea780a1a839b,Data Fusion for Real-time Multimodal Emotion Recognition through Webcams and Microphones in E-Learning,"Data Fusion for Real-time Multimodal Emotion Recognition through Webcams
+nd Microphones in E-Learning
+Kiavash Bahreini*, Rob Nadolski*, Wim Westera*
+*Welten Institute, Research Centre for Learning, Teaching and Technology, Faculty of
+Psychology and Educational Sciences, Open University of the Netherlands, Valkenburgerweg
+77, 6419 AT Heerlen, The Netherlands
+{kiavash.bahreini, rob.nadolski,"

+7fbff9fa2ba7a7ff57a433e8bb19cfd99d52132d,A probabilistic framework for car detection in images using context and scale,"RiverCentre, Saint Paul, Minnesota, USA
+May 14-18, 2012
+978-1-4673-1405-3/12/$31.00 ©2012 IEEE"

+7fdcb6638a9e01986cd8fb4133b4448700087faf,Expression-Invariant Multispectral Face Recognition: You Can Smile Now!,"Expression-Invariant Multispectral Face Recognition:
+You Can Smile Now!
+Ioannis A. Kakadiarisa, George Passalisa, George Todericia, Yunliang Lua,
+Nikos Karampatziakisa, Najam Murtuzaa, Theoharis Theoharisa
+Computational Biomedicine Lab, Dept. of Computer Science, Univ. of Houston, TX, USA"

+7f533bd8f32525e2934a66a5b57d9143d7a89ee1,Audio-Visual Identity Grounding for Enabling Cross Media Search,"Audio-Visual Identity Grounding for Enabling Cross Media Search
+Kevin Brady, MIT Lincoln Laboratory
+Paper ID 22"

+7f44f8a5fd48b2d70cc2f344b4d1e7095f4f1fe5,Sparse Output Coding for Scalable Visual Recognition,"Int J Comput Vis (2016) 119:60–75
+DOI 10.1007/s11263-015-0839-4
+Sparse Output Coding for Scalable Visual Recognition
+Bin Zhao1 · Eric P. Xing1
+Received: 15 May 2013 / Accepted: 16 June 2015 / Published online: 26 June 2015
+© Springer Science+Business Media New York 2015"

+7f4bc8883c3b9872408cc391bcd294017848d0cf,The Multimodal Focused Attribute Model : A Nonparametric Bayesian Approach to Simultaneous Object Classification and Attribute Discovery,"Computer
+Sciences
+Department
+The Multimodal Focused Attribute Model:  A Nonparametric
+Bayesian Approach to Simultaneous Object Classification and
+Attribute Discovery
+Jake Rosin
+Charles R. Dyer
+Xiaojin Zhu
+Technical Report #1697
+January 2012"

+7f6061c83dc36633911e4d726a497cdc1f31e58a,YouTube-8M: A Large-Scale Video Classification Benchmark,"YouTube-8M: A Large-Scale Video Classification
+Benchmark
+Sami Abu-El-Haija
+George Toderici
+Nisarg Kothari
+Joonseok Lee
+Paul Natsev
+Balakrishnan Varadarajan
+Sudheendra Vijayanarasimhan
+Google Research"

+7f65bbc93cf414d4889773b697b1833e85f0a15f,Neural Perspective to Jigsaw Puzzle Solving,"Neural Perspective to Jigsaw Puzzle Solving
+Viveka Kulharia⇤, Arnab Ghosh⇤, Nikhil Patil?, Piyush Rai
+Department of Computer Science, IIT Kanpur
+Kanpur, India"

+7ff0ad5c34f02b9c394ed0d8a3db9c270dc70e44,Learning a temporally invariant representation for visual tracking,"LEARNING A TEMPORALLY INVARIANT REPRESENTATION FOR VISUAL TRACKING
+Chao Ma(cid:63)†, Xiaokang Yang(cid:63), Chongyang Zhang(cid:63), and Ming-Hsuan Yang†
+(cid:63)Shanghai Jiao Tong University, China
+University of California at Merced, USA"

+7f0fadae16cc74b6176ba940aa2f8b5a0a67e09e,An Expert Local Mesh Correlation Histograms for Biomedical Image Indexing and Retrieval,"CHAPTER 1
+An Expert Local Mesh Correlation Histograms for
+Biomedical Image Indexing and Retrieval
+Santosh Kumar Vipparthi, Subrahmanyam Murala, S.K. Nagar and Anil
+Balaji Gonde
+Santosh Kumar Vipparthi
+Department of Computer Science and Engineering
+Malaviya National Institute of Technology
+Jaipur, India
+e-mail:
+Subrahmanyam Murala
+Department of Electrical Engineering
+Indian Institute of Technology Ropar
+India
+e-mail:
+S.K. Nagar
+Department of Electrical Engineering
+Indian Institute of Technology Banaras Hindu University
+India
+e-mail:"

+7f7c3a99923549601c81cd5e9659ca01e8a42f47,Zero-Shot Learning of Language Models for Describing Human Actions Based on Semantic Compositionality of Actions,"PACLIC 28
+Zero-Shot Learning of Language Models for Describing Human Actions
+Based on Semantic Compositionality of Actions
+Hideki ASOH
+National Institute of
+Graduate School of Humanities and Sciences,
+Ichiro KOBAYASHI
+Ochanomizu University
+Bunkyo-ku, Tokyo 112-8610 Japan
+Advanced Industrial Science and Technology
+Tsukuba, Ibaraki 305-8568 Japan"

+7f36dd9ead29649ed389306790faf3b390dc0aa2,Movement Differences between Deliberate and Spontaneous Facial Expressions: Zygomaticus Major Action in Smiling.,"MOVEMENT DIFFERENCES BETWEEN DELIBERATE
+AND SPONTANEOUS FACIAL EXPRESSIONS:
+ZYGOMATICUS MAJOR ACTION IN SMILING
+Karen L. Schmidt, Zara Ambadar, Jeffrey F. Cohn, and L. Ian Reed"

+7f217ff1f3c21c84ed116d32e3b8d1509a306fbd,Direct Optimization through arg max for Discrete Variational Auto-Encoder,"Direct Optimization through arg max for Discrete
+Variational Auto-Encoder
+Guy Lorberbom (Technion), Andreea Gane (MIT),
+Tommi Jaakkola (MIT), Tamir Hazan (Technion)."

+7f6cd03e3b7b63fca7170e317b3bb072ec9889e0,A Face Recognition Signature Combining Patch-based Features with Soft Facial Attributes,"A Face Recognition Signature Combining Patch-based
+Features with Soft Facial Attributes
+L. Zhang, P. Dou, I.A. Kakadiaris
+Computational Biomedicine Lab, 4849 Calhoun Rd, Rm 373, Houston, TX 77204"

+7fa41631cdef8f7fba7e1289dd4c5f3723b172ab,A robust and isotropic curved surface representation for 3D faces description,"A robust and isotropic curved surface representation for 3D faces
+description
+Majdi Jribi and Faouzi Ghorbel"

+7f6a527a3dc2e526aa59a57cadb20ff727124973,A comparison of adaptive matchers for screening of faces in video surveillance,"012 IEEE Symposium on
+Computational Intelligence for
+Security and Defence Applications
+(CISDA 2012)
+Ottawa, Ontario, Canada
+1 – 13 July 2012
+IEEE Catalog Number:
+ISBN:
+CFP12SDA-PRT
+978-1-4673-1416-9"

+7f9cacb5fc126f87dbf53dd547a9fb9f58ded557,RoadNet-v2: A 10 ms Road Segmentation Using Spatial Sequence Layer,"RoadNet-v2: A 10 ms Road Segmentation Using
+Spatial Sequence Layer
+Yecheng Lyu and Xinming Huang
+Department of Electrical and Computer Engineering
+Worcester Polytechnic Institute
+Worcester, MA 01609, USA"

+7f3c6bf191a8633d10fad32e23fa06a3c925ffee,The benefits of simply observing: mindful attention modulates the link between motivation and behavior.,"015, Vol. 108, No. 1, 148 –170
+0022-3514/15/$12.00
+© 2014 American Psychological Association
+http://dx.doi.org/10.1037/a0038032
+The Benefits of Simply Observing: Mindful Attention Modulates the Link
+Between Motivation and Behavior
+Esther K. Papies
+Utrecht University
+Mike Keesman
+Utrecht University
+Tila M. Pronk
+Tilburg University
+Lawrence W. Barsalou
+Emory University
+Mindful attention, a central component of mindfulness meditation, can be conceived as becoming aware
+of one’s thoughts and experiences and being able to observe them as transient mental events. Here, we
+present a series of studies demonstrating the effects of applying this metacognitive perspective to one’s
+spontaneous reward responses when encountering attractive stimuli. Taking a grounded cognition
+perspective, we argue that reward simulations in response to attractive stimuli contribute to appetitive
+ehavior and that motivational states and traits enhance these simulations. Directing mindful attention at"

+7f97a36a5a634c30de5a8e8b2d1c812ca9f971ae,Incremental Classifier Learning with Generative Adversarial Networks,"Incremental Classifier Learning with Generative Adversarial Networks
+Yue Wu1 Yinpeng Chen2 Lijuan Wang2 Yuancheng Ye3
+Zicheng Liu2 Yandong Guo2 Zhengyou Zhang2 Yun Fu1
+Northeastern University 2Microsoft Research 3City University of New York"

+7ff636c82898a35d3239573f8e3a29da89c73ed4,Automatic Detection of the Uterus and Fallopian Tube Junctions in Laparoscopic Images,"Automatic Detection of the Uterus and
+Fallopian Tube Junctions in Laparoscopic Images
+Kristina Prokopetc, Toby Collins, and Adrien Bartoli
+Image Science for Interventional Techniques (ISIT),
+UMR 6284 CNRS, Universit´e d(cid:48)Auvergne, France"

+7fc5ab3743e6e9a2f4fe70152440e13a673e239b,Improved Face Recognition Rate Using HOG Features and SVM Classifier,"IOSR Journal of Electronics and Communication Engineering (IOSR-JECE)
+e-ISSN: 2278-2834,p- ISSN: 2278-8735.Volume 11, Issue 4, Ver. I (Jul.-Aug .2016), PP 34-44
+www.iosrjournals.org
+Improved Face Recognition Rate Using HOG Features and SVM
+Classifier
+Harihara Santosh Dadi, Gopala Krishna Mohan Pillutla"

+7f04b65f2c6f96c7ce000f537fb691a93f61db52,Geometrical and Visual Feature Quantization for 3D Face Recognition,

+7f268f29d2c8f58cea4946536f5e2325777fa8fa,Facial Emotion Recognition in Curvelet Domain,"Facial Emotion Recognition in Curvelet Domain
+Gyanendra K Verma and Bhupesh Kumar Singh
+Indian Institute of Informaiton Technology, Allahabad, India
+Allahabad, India - 211012"

+7ff1c4e0ad0dae92d4f25b93783fadde8f07276d,An efficient example-based approach for image super-resolution,"IEEE Int. Conference Neural Networks & Signal Processing
+Zhenjiang, China, June 8~10, 2008
+AN EFFICIENT EXAMPLE-BASED APPROACH FOR IMAGE
+SUPER-RESOLUTION
+Xiaoguang Li1,2, Kin Man Lam2, Guoping Qiu3, Lansun Shen1 and Suyu Wang1
+. Signal & Information Processing Lab. Beijing University of Technology, Beijing, China, 100124
+. Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong
+Polytechnic University, Hong Kong
+. Department of Computer Science, Nottingham University, UK"

+7f3a73babe733520112c0199ff8d26ddfc7038a0,Robust Face Identification with Small Sample Sizes using Bag of Words and Histogram of Oriented Gradients,

+7fd97bc23c85213b8b2e4d28264f04ce6dc84e74,Optimal Transformation Estimation with Semantic Cues,"Optimal Transformation Estimation with Semantic Cues
+Danda Pani Paudel
+Computer Vision Laboratory
+D-ITET, ETH Zurich
+Adlane Habed
+ICube Laboratory
+CNRS, University of Strasbourg
+Luc Van Gool
+Computer Vision Laboratory
+D-ITET, ETH Zurich"

+7af38f6dcfbe1cd89f2307776bcaa09c54c30a8b,Learning in Computer Vision and Beyond: Development,"eaig i C
	e Vii ad Beyd:
+Deve
+h . Weg
+Dea
e f C
	e Sciece
+ichiga Sae Uiveiy
+Ea aig 
 48824
+Abac
+Thi chae id	ce wha i ca
+aic	
+ve
+y h	
a cgiive deve
+ih
 i dee
ied befe he \bih"" f he ye
. Afe he \bih"" i eab
+ 
+ach i  ea
+deve
+way ai
a
+	 ea
 whi
+
de deve
+7a1828e181e3c8bd014c7e5fc1bcc417f122c18c,Face Perception and Test Reliabilities in Congenital Prosopagnosia in Seven Tests,"i-Perception
+January-February 2016: 1–37
+! The Author(s) 2016
+DOI: 10.1177/2041669515625797
+ipe.sagepub.com
+Article
+Face Perception and Test
+Reliabilities in Congenital
+Prosopagnosia in Seven Tests
+Janina Esins
+Department of Human Perception, Cognition and Action, Max Planck
+Institute for Biological Cybernetics, Tu¨bingen, Germany
+Johannes Schultz
+Department of Psychology, Durham University, Durham, UK
+Claudia Stemper
+Institute of Human Genetics, Westfa¨lische Wilhelms-Universita¨t
+Mu¨nster, Mu¨nster, Germany
+Ingo Kennerknecht
+Institute of Human Genetics, Westfa¨lische Wilhelms-Universita¨t
+Mu¨nster, Mu¨nster, Germany"

+7ab41d2fb37079d20db5e25fd6e71755673f82f0,Building Emotional Machines: Recognizing Image Emotions Through Deep Neural Networks,"Building Emotional Machines: Recognizing Image
+Emotions through Deep Neural Networks
+Hye-Rin Kim, Yeong-Seok Kim, Seon Joo Kim, In-Kwon Lee"

+7af6d86139aa86cb5897904563a9f67c016a176d,Performance of Correlation Filters in Facial Recognition,"Performance of Correlation Filters in Facial
+Recognition
+Everardo Santiago-Ramirez, J.A. Gonzalez-Fraga, and J.I. Ascencio-Lopez
+Facultad de Ciencias, Universidad Autónoma de Baja California, Km. 103, Carretera Tijuana-
+Ensenada, Ensenada, Baja California C. P. 22860"

+7a81967598c2c0b3b3771c1af943efb1defd4482,Do We Need More Training Data?,"Do We Need More Training Data?
+Xiangxin Zhu · Carl Vondrick · Charless C. Fowlkes · Deva Ramanan"

+7a7a53b05e22305b2963c05ac89830e099146767,Assessing fish abundance from underwater video using deep neural networks,"Assessing fish abundance from underwater video
+using deep neural networks
+Ranju Mandal∗, Rod M. Connolly†, Thomas A. Schlacher‡ and Bela Stantic∗
+School of ICT, Griffith Sciences, Griffith University, QLD 4222, Australia
+Australian Rivers Institute - Coast & Estuaries and
+School of Environment and Science, Griffith University, QLD 4222, Australia
+School of Science and Engineering, University of the Sunshine Coast, QLD 4558, Australia
+{r.mandal, r.connolly,"

+7ace44190729927e5cb0dd5d363fcae966fe13f7,A bag-of-features approach based on Hue-SIFT descriptor for nude detection,"7th European Signal Processing Conference (EUSIPCO 2009)
+Glasgow, Scotland, August 24-28, 2009
+A BAG-OF-FEATURES APPROACH BASED ON
+HUE-SIFT DESCRIPTOR FOR NUDE DETECTION
+Ana P. B. Lopes1,2, Sandra E. F. de Avila1, Anderson N. A. Peixoto1
+Rodrigo S. Oliveira1 and Arnaldo de A. Ara´ujo1
+Computer Science Department – Federal University of Minas Gerais
+Av. Antˆonio Carlos, 6627, Pampulha, CEP 31270–901, Belo Horizonte, MG, Brazil
+Exact and Technological Sciences Department – State University of Santa Cruz
+Rodovia Ilh´eus-Itabuna, km 16 – Pavilh˜ao Jorge Amado, CEP 45600-000, Ilh´eus, BA, Brazil"

+7ae0212d6bf8a067b468f2a78054c64ea6a577ce,Human Face Processing Techniques With Application To Large Scale Video Indexing,"Human Face Processing Techniques
+With Application To
+Large Scale Video Indexing
+LE DINH DUY
+DOCTOR OF
+PHILOSOPHY
+Department of Informatics,
+School of Multidisciplinary Sciences,
+The Graduate University for Advanced Studies (SOKENDAI)
+006 (School Ｙear)
+September 2006"

+7ab9035ec3871bbeadf1095afbe1ff9d9cb25480,DLBP and SVD Fusion for 3 D Face Recognition Using Range Image,"Computer Science and Information Technology 5(2): 61-65, 2017
+DOI: 10.13189/csit.2017.050203
+http://www.hrpub.org
+DLBP and SVD Fusion for 3D Face Recognition Using
+Range Image
+El Mahdi Barrah, Rachid Ahdid, Said Safi, Abdessamad Malaoui∗
+Interdisciplinary Laboratory of Research in Sciences and Technologies (LIRST), Sultan Moulay Slimane University, Bni Mellal, Morocco
+Copyright c(cid:13)2017 by authors, all rights reserved. Authors agree that this article remains permanently
+open access under the terms of the Creative Commons Attribution License 4.0 International License"

+7a540e0e2049a8f0118be2eab9a2ec5f57e022c9,Deep Learning Methods for Classification with Limited Training Data,"Deep Learning Methods for Classification with
+Limited Training Data
+Seminar Report : Spring 2017
+submitted by
+Aviral Kumar
+(140070031)
+under the guidance of
+Prof. Sunita Sarawagi
+Department of Computer Science and Engineering
+Indian Institute of Technology Bombay
+April, 2017"

+7a0fb972e524cb9115cae655e24f2ae0cfe448e0,Facial Expression Classification Using RBF AND Back-Propagation Neural Networks,"Facial Expression Classification Using RBF AND Back-Propagation Neural Networks
+R.Q.Feitosa1,2,
+M.M.B.Vellasco1,2,
+D.T.Oliveira1,
+D.V.Andrade1,
+S.A.R.S.Maffra1
+– Catholic University of Rio de Janeiro, Brazil
+Department of Electric Engineering
+– State University of Rio de Janeiro, Brazil
+Department of Computer Engineering
+e-mail: [raul, -rio.br, [diogo,"

+7ad77b6e727795a12fdacd1f328f4f904471233f,Supervised Local Descriptor Learning for Human Action Recognition,"Supervised Local Descriptor Learning
+for Human Action Recognition
+Xiantong Zhen, Feng Zheng, Ling Shao, Senior Member, IEEE, Xianbin Cao, Senior Member, IEEE, and Dan Xu"

+7a88d33b3e23a2cdf1e8a2b848c73a12a34ba88c,TUB-IRML at MediaEval 2014 Violent Scenes Detection Task: Violence Modeling through Feature Space Partitioning,"TUB-IRML at MediaEval 2014 Violent Scenes Detection
+Task: Violence Modeling through Feature Space
+Partitioning
+Esra Acar, Sahin Albayrak
+DAI Laboratory, Technische Universität Berlin
+Ernst-Reuter-Platz 7, TEL 14, 10587 Berlin, Germany"

+7a4f3d17672ecd89e4ad0d4f3a9257352a055d9b,A Novel Data-driven Image Annotation Method,"A Novel Data-driven Image Annotation Method
+Guiguang Ding, Jianmin Wang, Na Xu"

+7a97de9460d679efa5a5b4c6f0b0a5ef68b56b3b,Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection,"nd Face shape relationship2)AU relationship3)Face shape patternUpdate facial landmark locationsUpdate AU activation probabilitiesAU activation probabilitiesCurrent landmark locationsFigure1.Constrainedjointcascaderegressionframeworkforsi-multaneousfacialactionunitrecognitionandlandmarkdetection.wouldenablethemachineunderstandingofhumanfacialbehavior,intent,emotionetc.Facialactionunitrecognitionandfaciallandmarkdetec-tionarerelatedtasks,buttheyareseldomlyexploitedjointlyintheliteratures.Forexample,thefaceshapedefinedbythelandmarklocationsareconsideredaseffectivefeaturesforAUrecognition.But,thelandmarklocationinforma-tionisusuallyextractedbeforehandwithfaciallandmarkdetectionalgorithms.Ontheotherhand,theActionUnitinformationisrarelyutilizedintheliteraturetohelpfaciallandmarkdetection,eventhoughthefacialmusclemove-mentsandtheactivationofspecificfacialactionunitcancausetheappearanceandshapechangesofthefacewhichsignificantlyaffectfaciallandmarkdetection.Themutualinformationandintertwinedrelationshipamongfacialac-tionunitrecognitionandfaciallandmarkdetectionshouldbeutilizedtoboosttheperformancesofbothtasks.Cascaderegressionframeworkhasbeenshowntobeaneffectivemethodforfacealignmentrecently[19][13].Itstartsfromaninitialfaceshape(e.g.meanface)anditit-erativelyupdatesthefaciallandmarklocationsbasedonthelocalappearancefeaturesuntilconvergence.Severalregres-sionmodelshavebeenappliedtolearnthemappingfromthelocalappearancefeaturestothefaceshapeupdate.Toleveragethesuccessofthecascaderegressionframe-workandtoachievethegoalofjointfacialactionunit13400"

+7a7db5a1325844b62d2ecf8489872c8f515f1c37,Nuclear Norm-Based 2-DPCA for Extracting Features From Images,"Nuclear Norm-Based 2-DPCA for Extracting
+Features From Images
+Fanlong Zhang, Jian Yang, Member, IEEE, Jianjun Qian, and Yong Xu, Member, IEEE"

+7a776f080b270c8759b2b4fe601682276d1b2eb4,Multi-target Tracking with Sparse Group Features and Position Using Discrete-Continuous Optimization,"Multi-Target Tracking with Sparse Group
+Features and Position using Discrete-Continuous
+Optimization
+Billy Peralta (1) and Alvaro Soto (2)
+(1)Universidad Cat´olica de Temuco, (2)Pontificia Universidad Cat´olica de Chile"

+7a3676dcf55e22c7249eac7615174309617c8246,Joint Feature Learning With Robust Local Ternary Pattern for Face Recognition,"International Journal of Application or Innovation in Engineering & Management (IJAIEM)
+Web Site: www.ijaiem.org Email:
+ISSN 2319 - 4847
+Volume 5, Issue 6, June  2016
+Joint Feature Learning With Robust Local
+Ternary Pattern for Face Recognition
+Yuvaraju.M1, Shalini.S2
+Nadu, India
+Assistant Professor, Department of Electrical and Electronics Engineering, Anna University Regional Campus, Coimbatore, Tamil
+Pg Scholar, Department of Electrical and Electronics Engineering, Anna University Regional Campus, Coimbatore, Tamil Nadu,
+India"

+7ac25c5391251611696d16e677bd71040d80d583,Person Re-Identification by Saliency Learning,"MANUSCRIPT DRAFT
+Person Re-identification by saliency Learning
+Rui Zhao, Student Member, IEEE, Wanli Oyang, Member, IEEE, and
+Xiaogang Wang, Member, IEEE"

+7aa4c16a8e1481629f16167dea313fe9256abb42,Multi-task learning for face identification and attribute estimation,"978-1-5090-4117-6/17/$31.00 ©2017 IEEE
+ICASSP 2017"

+7ad204758df6c921010d9967a5b7449dd406ea56,Deep Face Quality Assessment,"Deep Face Quality Assessment
+Vishal Agarwal
+Department of Electronics and Electrical Engineering
+Indian Institute of Technology Guwahati
+India"

+7ad7897740e701eae455457ea74ac10f8b307bed,Random Subspace Two-dimensional LDA for Face Recognition,"Random Subspace Two-dimensional LDA for Face Recognition*
+Garrett Bingham1"

+7acc05ae92823c12b28d6ad73cb2a7707ccb6c7b,Single view-based 3D face reconstruction robust to self-occlusion,"Lee et al. EURASIP Journal on Advances in Signal Processing 2012, 2012:176
+http://asp.eurasipjournals.com/content/2012/1/176
+R ES EAR CH
+Open Access
+Single view-based 3D face reconstruction robust
+to self-occlusion
+Youn Joo Lee1, Sung Joo Lee2, Kang Ryoung Park3, Jaeik Jo1 and Jaihie Kim1*"

+7a7b1352d97913ba7b5d9318d4c3d0d53d6fb697,Attend and Rectify: a Gated Attention Mechanism for Fine-Grained Recovery,"Attend and Rectify: a Gated Attention
+Mechanism for Fine-Grained Recovery
+Pau Rodr´ıguez†, Josep M. Gonfaus‡, Guillem Cucurull†,
+F. Xavier Roca†, Jordi Gonz`alez†
+Computer Vision Center and Universitat Aut`onoma de Barcelona (UAB),
+Campus UAB, 08193 Bellaterra, Catalonia Spain
+Visual Tagging Services, Parc de Recerca, Campus UAB"

+7aa062c6c90dba866273f5edd413075b90077b51,Minimizing Separability : A Comparative Analysis of Illumination Compensation Techniques in Face Recognition,"I.J. Information Technology and Computer Science, 2017, 5, 40-51
+Published Online May 2017 in MECS (http://www.mecs-press.org/)
+DOI: 10.5815/ijitcs.2017.05.06
+Minimizing Separability: A Comparative Analysis
+of Illumination Compensation Techniques in Face
+Recognition
+Chollette C. Olisah
+Department of Computer Science and IT, Baze University, Abuja, Nigeria
+E-mail:"

+7a8ba1a6c90b56ae0a98fe43d015ab0f2a73912e,A Vision-Based Hybrid Method for Eye Detection and Tracking,"A Vision-Based Hybrid Method for Eye Detection and Tracking
+International Journal of Security and Its Applications
+Vol. 7, No. 4, July, 2013
+Kun Mu
+Department of Computer Science and Engineering, Henan Institute of Engineering,
+Zhengzhou 451191, China"

+146879bd04a1ab25dce3484bc587e5f2ff1b1d91,Securing Certificate Revocation through Speaker Verification: the CertiVeR Project,"Securing Certificate Revocation through Speaker Verification:
+the CertiVeR Project
+Javier R. Saeta1, Javier Hernando2, Oscar Manso3, Manel Medina3
+Biometric Technologies, S.L. Barcelona, Spain
+TALP Research Center. Universitat Politècnica de Catalunya, Spain
+SeMarket, S.A. Barcelona, Spain"

+1451e7b11e66c86104f9391b80d9fb422fb11c01,Image privacy protection with secure JPEG transmorphing,"IET Signal Processing
+Research Article
+Image privacy protection with secure JPEG
+transmorphing
+ISSN 1751-9675
+Received on 30th December 2016
+Revised 13th July 2017
+Accepted on 11th August 2017
+doi: 10.1049/iet-spr.2016.0756
+www.ietdl.org
+Lin Yuan1  , Touradj Ebrahimi1
+Multimedia Signal Processing Group, Electrical Engineering Department, EPFL, Station 11, Lausanne, Switzerland
+E-mail:"

+1456f147381bf7c385225d854c2fb48c19eca285,LCAV-31: a dataset for light field object recognition,"Computational Imaging XII, edited by Charles A. Bouman, Ken D. Sauer, Proc. of SPIE-IS&T Electronic Imaging,
+SPIE Vol. 9020, 902014 · © 2014 SPIE-IS&T · CCC code: 0277-786X/14/$18 · doi: 10.1117/12.2041097
+Proc. of SPIE-IS&T/ Vol. 9020  902014-1"

+143e3ec5a5a11547da2d77a17d0ca7b1940280b5,"People detection, tracking and re-identification through a video camera network. (Détection, suivi et ré-identification de personnes à travers un réseau de caméra vidéo)","People detection, tracking and re-identification through
+video camera network
+Malik Souded
+To cite this version:
+Malik Souded. People detection, tracking and re-identification through a video camera network.
+Other [cs.OH]. Université Nice Sophia Antipolis, 2013. English. <NNT : 2013NICE4152>. <tel-
+00913072v2>
+HAL Id: tel-00913072
+https://tel.archives-ouvertes.fr/tel-00913072v2
+Submitted on 29 Jan 2014
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents
+scientifiques de niveau recherche, publiés ou non,
+émanant des établissements d’enseignement et de"

+14aad0d391a9491eb122d5b6af6c325a0e090dc7,Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms,"Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms
+{tag}                                                 {/tag}
+International Journal of Computer Applications
+Foundation of Computer Science (FCS), NY, USA
+Volume 134
+Number 7
+Year of Publication: 2016
+Authors:
+Filani Araoluwa S., Adetunmbi Adebayo O.
+10.5120/ijca2016907932
+{bibtex}2016907932.bib{/bibtex}"

+14761b89152aa1fc280a33ea4d77b723df4e3864,Zero-Shot Learning via Visual Abstraction,

+14fdec563788af3202ce71c021dd8b300ae33051,Social Influence Analysis based on Facial Emotions,"Social Influence Analysis based on Facial Emotions
+Pankaj Mishra, Rafik Hadfi, and Takayuki Ito
+Department of Computer Science and Engineering
+Nagoya Institute of Technology, Gokiso, Showa-ku, Nagoya, 466-8555 Japan
+{pankaj.mishra,"

+14fed18d838bf6b89d98837837ff314e61ab7c60,Deep Learning with Differential Privacy,"A preliminary version of this paper appears in the proceedings of the 23rd ACM Conference on Computer and Communications Security
+(CCS 2016). This is a full version.
+Deep Learning with Differential Privacy
+Martín Abadi∗
+H. Brendan McMahan∗
+October 25, 2016
+Andy Chu∗
+Ilya Mironov∗
+Li Zhang∗
+Ian Goodfellow†
+Kunal Talwar∗"

+1419956b08f9ab398cd2100ddec74271ef5fa72c,Joint detection and online multi-object tracking,"Joint detection and online multi-object tracking
+Hilke Kieritz, Wolfgang H¨ubner, and Michael Arens
+Fraunhofer IOSB, Germany"

+149e5e5eeea5a9015ab5ae755f62c45ef70fa79b,Hierarchical Convolutional Features for Visual Tracking,"Hierarchical Convolutional Features for Visual Tracking
+Chao Ma
+Jia-Bin Huang
+Xiaokang Yang
+Ming-Hsuan Yang
+UC Merced"

+1414d4880e368414cbbbbd215e8b0471f185aa03,Face Detection in Low-Resolution Color Images,"Face Detection in Low-resolution Color Images
+Jun Zheng, Geovany A. Ramirez, and Olac Fuentes,
+Computer Science Department,
+University of Texas at El Paso,
+El Paso, Texas, 79968, U.S.A.
+No Institute Given"

+140dbcb0be3ce7961ed551f129698e9ad4c9aa8c,Interactive Learning and its Role in Pervasive Robotics,"Interactive Learning and its Role in Pervasive Robotics
+Cynthia Matuszek
+Dieter Fox
+Nicholas FitzGerald
+Evan Herbst"

+1459d4d16088379c3748322ab0835f50300d9a38,Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning,"Cross-Domain Visual Matching via Generalized
+Similarity Measure and Feature Learning
+Liang Lin, Guangrun Wang, Wangmeng Zuo, Xiangchu Feng, and Lei Zhang"

+14f964d152337e963e4a4fd3619f6030aa75deb1,Person Re-identification by Discriminatively Selecting Parts and Features,"Person re-identification by discriminatively
+selecting parts and features
+Amran Bhuiyan, Alessandro Perina and Vittorio Murino
+Pattern Analysis and Computer Vision (PAVIS)
+Istituto Italiano di Tecnologia
+Genova, Italy"

+1450296fb936d666f2f11454cc8f0108e2306741,Learning to Discover Cross-Domain Relations with Generative Adversarial Networks,"Learning to Discover Cross-Domain Relations
+with Generative Adversarial Networks
+Taeksoo Kim 1 Moonsu Cha 1 Hyunsoo Kim 1 Jung Kwon Lee 1 Jiwon Kim 1"

+14373c9fd08dee8f7195a88430121c69bbebbe1b,Head Pose Estimation Using Covariance of Oriented Gradients,"978-1-4244-4296-6/10/$25.00 ©2010 IEEE
+ICASSP 2010"

+14a01628169a3a060b6af5d5dcdeeb584b648abf,Semi-Supervised Multiresolution Classification Using Adaptive Graph Filtering With Application to Indirect Bridge Structural Health Monitoring,"Semi-Supervised Multiresolution Classification
+Using Adaptive Graph Filtering with Application to
+Indirect Bridge Structural Health Monitoring
+Siheng Chen, Student Member, IEEE, Fernando Cerda, Piervincenzo Rizzo, Jacobo Bielak, James H. Garrett and
+Jelena Kovaˇcevi´c, Fellow, IEEE"

+147b7998526ebbdf64b1662503b378d9f6456ccd,Generative Adversarial Networks for Image Steganography,"Under review as a conference paper at ICLR 2017
+GENERATIVE ADVERSARIAL NETWORKS FOR IMAGE
+STEGANOGRAPHY
+Denis Volkhonskiy2,3, Boris Borisenko3 and Evgeny Burnaev1,2,3
+Skolkovo Institute of Science and Technology
+The Institute for Information Transmission Problems RAS (Kharkevich Institute)
+National Research University Higher School of Economics (HSE)"

+143b54525bdda1f83965002616a4e7b5b9f523a3,A probabilistic patch based image representation using Conditional Random Field model for image classification,"A probabilistic patch based image representation using Conditional Random Field model
+for image classification
+Fariborz Taherkhani
+Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, USA"

+14a022a3eb8cc9681b1ab075650d462788de1fa0,GANs for Biological Image Synthesis,"GANs for Biological Image Synthesis
+INRIA/ENS∗, France
+Anton Osokin
+HSE†, Russia
+Anatole Chessel
+´Ecole Polytechnique‡,
+France"

+14860877a790d99296a990281b22e6b6a430b64f,Deep Over-sampling Framework for Classifying Imbalanced Data,"Deep Over-sampling Framework for Classifying
+Imbalanced Data
+Shin Ando1 and Chun Yuan Huang2
+School of Management,
+Tokyo University of Science,
+-11-2 Fujimi, Chiyoda-ku, Tokyo, Japan
+School of Management,
+Tokyo University of Science,
+-11-2 Fujimi, Chiyoda-ku, Tokyo, Japan"

+14f0283c703e450e5f17cbe94878896de865ce30,International Journal of Advance Research and Innovation,"Volume 3, Issue 2 (2015) 383-385
+ISSN 2347 - 3258
+International Journal of Advance Research and Innovation
+Robust Visual Tracking for Multiple Targets with Data Association and
+Track Management
+N. Mahalakshmi, S. R. Saranya
+Department of Computer Science Engineering, Dhanalakshmi Srinivasan Engineering College, Perambalur, Tamil
+Nadu, India
+Article Info
+Article history:
+Received 5 April 2015
+Received in revised form
+0 April 2015
+Accepted 20 May 2015
+Available online 15 June 2015
+Keywords
+Online Multi-Object Tracking,
+Tracking-By Detection,
+Data Association,
+Track Management,"

+1442319de86d171ce9595b20866ec865003e66fc,Vision-Based Fall Detection with Convolutional Neural Networks,"Vision-Based Fall Detection with Convolutional
+Neural Networks
+Adri´an Nu˜nez-Marcos1, Gorka Azkune1, Ignacio Arganda-Carreras234
+DeustoTech - University of Deusto
+Avenida de las Universidades, 24 - 48007, Bilbao, Spain
+Dept. of Computer Science and Artificial Intelligence, Basque
+Country University, San Sebastian, Spain
+P. Manuel Lardizabal, 1 - 20018, San Sebastian, Spain
+Ikerbasque, Basque Foundation for Science, Bilbao, Spain
+Maria Diaz de Haro, 3 - 48013 Bilbao, Spain
+Donostia International Physics Center (DIPC), San Sebastian, Spain
+P. Manuel Lardizabal, 4 - 20018, San Sebastian, Spain"

+147c33df99dd52502d65fe390ee45c585349b3b3,Pixel and Feature Level Based Domain Adaption for Object Detection in Autonomous Driving,"Pixel and Feature Level Based Domain Adaption
+for Object Detection in Autonomous Driving
+Yuhu Shan, Wen Feng Lu, Chee Meng Chew"

+146e6504d473b92e56108b7276d96aebaa58ccfc,3 D Model and Part Fusion for Vehicle Retrieval,"International Journal of Research in Advent Technology, Vol.2, No.5, May 2014
+E-ISSN: 2321-9637
+D Model and Part Fusion for Vehicle Retrieval
+M.Nagarasan1, T.N.Chitradevi2, S.Senthilnathan3
+Department of computer science and engineering1,2, 3
+Aditya institute of technology, Coimbatore.1, 3,Sri Ramakrishna Engineering College, Coimbatore2"

+1462bc73834e070201acd6e3eaddd23ce3c1a114,Face Authentication /recognition System for Forensic Application Using Sketch Based on the Sift Features Approach,"International Journal of Science, Engineering and Technology Research (IJSETR), Volume 3, Issue 4, April 2014
+FACE AUTHENTICATION /RECOGNITION
+SYSTEM FOR FORENSIC APPLICATION
+USING SKETCH BASED ON THE SIFT
+FEATURES APPROACH
+Poonam A. Katre
+Department of Electronics Engineering KITS,
+RTMNU Nagpur University, India"

+143ac3b7338e240b106863d35177c4567ef9c1aa,Euclidean & Geodesic Distance between a Facial Feature Points in Two-Dimensional Face Recognition System,"Euclidean & Geodesic Distance between a Facial
+Feature Points in Two-Dimensional Face
+Recognition System
+Rachid AHDID1, Khaddouj TAIFI1, Said SAFI1 and Bouzid MANAUT2"

+1471c0b72e4a88b39e59362bf169bb35915966a9,Extended Coding and Pooling in the HMAX Model,"Extended coding and pooling in the HMAX model
+Christian Th´eriault, Nicolas Thome, Member, IEEE, and Matthieu Cord, Member, IEEE
+Universit´e Pierre et Marie Curie, UPMC-Sorbonne Universities, LIP6, 4 place Jussieu, 75005, Paris, France"

+1436d72a51feefda3278068a164d263f6d845236,Interactive Learning a Person Detector: Fewer Clicks – Less Frustration1,"INTERACTIVE LEARNING A PERSON
+DETECTOR:
+FEWER CLICKS – LESS FRUSTRATION1
+Peter M. Roth2, Helmut Grabner2, Christian Leistner2,
+Martin Winter2, and Horst Bischof2"

+140c95e53c619eac594d70f6369f518adfea12ef,Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A,"Pushing the Frontiers of Unconstrained Face Detection and Recognition: IARPA Janus Benchmark A
+Brendan F. Klare, Emma Taborsky , Austin Blanton , Jordan Cheney , Kristen Allen , Patrick Grother , Alan Mah , Anil K. Jain
+The development of accurate and scalable unconstrained face recogni-
+tion algorithms is a long term goal of the biometrics and computer vision
+ommunities. The term “unconstrained” implies a system can perform suc-
+essful identifications regardless of face image capture presentation (illumi-
+nation, sensor, compression) or subject conditions (facial pose, expression,
+occlusion). While automatic, as well as human, face identification in certain
+scenarios may forever be elusive, such as when a face is heavily occluded or
+aptured at very low resolutions, there still remains a large gap between au-
+tomated systems and human performance on familiar faces. In order to close
+this gap, large annotated sets of imagery are needed that are representative
+of the end goals of unconstrained face recognition. This will help continue
+to push the frontiers of unconstrained face detection and recognition, which
+re the primary goals of the IARPA Janus program.
+The current state of the art in unconstrained face recognition is high
+ccuracy (roughly 99% true accept rate at a false accept rate of 1.0%) on
+faces that can be detected with a commodity face detectors, but unknown
+ccuracy on other faces. Despite the fact that face detection and recognition
+research generally has advanced somewhat independently, the frontal face"

+1467c4ab821c3b340abe05a1b13a19318ebbce98,Multitask and transfer learning for multi-aspect data,"Multitask and Transfer Learning for
+Multi-Aspect Data
+Bernardino Romera Paredes
+A dissertation submitted in partial fulfillment
+of the requirements for the degree of
+Doctor of Philosophy of University College London."

+142dcfc3c62b1f30a13f1f49c608be3e62033042,Adaptive region pooling for object detection,"Adaptive Region Pooling for Object Detection
+Yi-Hsuan Tsai
+UC Merced
+Onur C. Hamsici
+Qualcomm Research, San Diego
+Ming-Hsuan Yang
+UC Merced"

+14e9eaa6ac23996e9a62060c8da90bdb7116ee37,Localization Recall Precision (LRP): A New Performance Metric for Object Detection,[cs.CV]  5 Jul 2018

+14f457bcb5c3e294919512b132bb171bdcaf5ec2,Understanding Human Actions in Still Images 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,"UNDERSTANDING HUMAN ACTIONS
+IN STILL IMAGES
+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
+Bangpeng Yao
+August 2013"

+14c988aa9086207b337dcc5611aad08422129b42,Human Relative Position Detection Based on Mutual Occlusion,"Human Relative Position Detection
+Based on Mutual Occlusion
+V´ıctor Borjas, Michal Drozdzal, Petia Radeva, and Jordi Vitri`a
+Facultat de Matem`atiques & Centre de Visi`o per Computador,
+Universitat de Barcelona,
+Campus UAB"

+14e428f2ff3dc5cf96e5742eedb156c1ea12ece1,Facial Expression Recognition Using Neural Network Trained with Zernike Moments,"Facial Expression Recognition Using Neural Network Trained with Zernike
+Moments
+Mohammed Saaidia
+Dept. Génie-Electrique
+Université M.C.M Souk-Ahras
+Souk-Ahras, Algeria"

+148721b162dd355812fae94c8aaf365e5e2c3a79,"Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation","Vista: A Visually, Socially, and Temporally-aware Model
+for Artistic Recommendation
+Ruining He
+UC San Diego
+Chen Fang
+Adobe Research
+Zhaowen Wang
+Adobe Research
+Julian McAuley
+UC San Diego"

+147fe6bfc76f30ccacc3620662511e452bc395f6,A Survey of Face Recognition Techniques,"Invited Paper
+Journal of Information Processing Systems, Vol.5, No.2, June 2009  41
+A Survey of Face Recognition Techniques
+Rabia Jafri* and Hamid R. Arabnia*"

+14a5feadd4209d21fa308e7a942967ea7c13b7b6,Content-based vehicle retrieval using 3D model and part information,"978-1-4673-0046-9/12/$26.00 ©2012 IEEE
+ICASSP 2012"

+14fee990a372bcc4cb6dc024ab7fc4ecf09dba2b,Modeling Spatio-Temporal Human Track Structure for Action Localization,"Modeling Spatio-Temporal Human Track Structure for Action
+Localization
+Guilhem Ch´eron · Anton Osokin · Ivan Laptev · Cordelia Schmid"

+14ee4948be56caeb30aa3b94968ce663e7496ce4,SmileNet: Registration-Free Smiling Face Detection,"SmileNet: Registration-Free Smiling Face Detection In The Wild.
+Jang, Y; Gunes, H; Patras, I
+© Copyright 2018 IEEE
+For additional information about this publication click this link.
+http://qmro.qmul.ac.uk/xmlui/handle/123456789/36405
+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"

+8ea56e4697430d1dbc728bad5a6e8ebafcced835,Adaptive Stochastic Gradient Descent on the Grassmannian for Robust Low-Rank Subspace Recovery,"Adaptive Stochastic Gradient Descent on the
+Grassmannian for Robust Low-Rank Subspace
+Recovery
+Jun He, Member, IEEE, Yue Zhang, Student Member, IEEE"

+8ec76d7d4a9abd09f088fb3f7a3351a7fda1fde0,Generative Adversarial Networks to Synthetically Augment Data for Deep Learning based Image Segmentation *,"Proceedings of the OAGM Workshop 2018
+DOI: 10.3217/978-3-85125-603-1-07"

+8e9f973e9d01fdd275af6c1460e5307d2ff3d2bc,OF KITH AND KIN 1 Of kith and kin :,"OF	KITH	AND	KIN
+Of kith and kin:
+Perceptual enrichment, expectancy and reciprocal processing in face perception
+Joshua Correll     Sean M. Hudson     Steffanie Guillermo     Holly A. Earls
+University of Colorado Boulder
+Author Note
+Joshua Correll, Sean M. Hudson, Steffanie Guillermo, Holly A. Earls, Department of
+Psychology & Neuroscience, University of Colorado Boulder.
+We dedicate this paper to the memory of Sean Hudson, a wonderful scientist and a true
+friend. We thank Jasmin Cloutier, Tim Correll, Tim Curran, Tiffany Ito, Sarah Lamer,
+Debbie Ma, Max Weisbuch, and Bernd Wittenbrink for their thoughtful comments on
+previous drafts.
+Correspondence should be addressed to Joshua Correll, Department of Psychology &
+Neuroscience, UCB 345, Boulder, Colorado, 80309-0345;"

+8ea9093542075bd8cc4928a4c671a95f363c61ef,Sliced-Wasserstein Autoencoder : An Embarrassingly Simple Generative Model,"Sliced-Wasserstein Autoencoder: An
+Embarrassingly Simple Generative Model"

+8ee62f7d59aa949b4a943453824e03f4ce19e500,Robust Head-Pose Estimation Based on Partially-Latent Mixture of Linear Regressions,"Robust Head-Pose Estimation Based on
+Partially-Latent Mixture of Linear Regression
+Vincent Drouard∗, Radu Horaud∗, Antoine Deleforge†, Sil`eye Ba∗ and Georgios Evangelidis∗
+INRIA Grenoble Rhˆone-Alpes, Montbonnot Saint-Martin, France
+INRIA Rennes Bretagne Atlantique, Rennes, France"

+8e33183a0ed7141aa4fa9d87ef3be334727c76c0,Robustness of Face Recognition to Image Manipulations,"– COS429 Written Report, Fall 2017 –
+Robustness of Face Recognition to Image Manipulations
+Cathy Chen (cc27), Zachary Liu (zsliu), and Lindy Zeng (lindy)
+. Motivation
+We can often recognize pictures of people we know even if the image has low resolution or obscures
+part of the face, if the camera angle resulted in a distorted image of the subject’s face, or if the
+subject has aged or put on makeup since we last saw them. Although this is a simple recognition task
+for a human, when we think about how we accomplish this task, it seems non-trivial for computer
+lgorithms to recognize faces despite visual changes.
+Computer facial recognition is relied upon for many application where accuracy is important.
+Facial recognition systems have applications ranging from airport security and suspect identification
+to personal device authentication and face tagging [7]. In these real-world applications, the system
+must continue to recognize images of a person who looks slightly different due to the passage of
+time, a change in environment, or a difference in clothing.
+Therefore, we are interested in investigating face recognition algorithms and their robustness to
+image changes resulting from realistically plausible manipulations. Furthermore, we are curious
+bout whether the impact of image manipulations on computer algorithms’ face recognition ability
+mirrors related insights from neuroscience about humans’ face recognition abilities.
+. Goal
+In this project, we implement both face recognition algorithms and image manipulations. We then"

+8e3d0b401dec8818cd0245c540c6bc032f169a1d,McGan: Mean and Covariance Feature Matching GAN,"McGan: Mean and Covariance Feature Matching GAN
+Youssef Mroueh * 1 2 Tom Sercu * 1 2 Vaibhava Goel 2"

+8e7749f635b161558efa3e98a324e88c73e2b18f,[Neuroimaging findings in autism: a brief review].,"Türk Psikiyatri Dergisi 2009;
+Turkish Journal of Psychiatry
+Neuroimaging Findings in Auti sm: A Brief Review
+Halime Tuna ULAY1, Aygün ERTUĞRUL2"

+8edb2219370a86c4277549813d36a6c139503fb4,Facial feature units’ localization using horizontal information of most significant bit planes,"Journal of Engineering and Technology Research Vol. 3(14), pp. 381-387, 22 December, 2011
+Available online at http:// www.academicjournals.org/JETR
+DOI: 10.5897/JETR11.068
+ISSN 2006-9790 ©2011 Academic Journals
+Full Length Research Paper
+Facial feature units’ localization using horizontal
+information of most significant bit planes
+Asif Khan1*, Khalilullah1, Ihtesham-Ul-Islam1 and Mohammad A. U. Khan2
+FAST National University of Computer and Emerging Sciences, Peshawar, Pakistan.
+Effat University, Jeddah, Saudi Arabia.
+Accepted 8 November, 2011
+We  present  here  an  approach  to  find  the  exact  position  of  some  feature  units  related  to  human  face
+images.  We  use  the horizontal  information  in  most  significant  bit  planes  of images  to  accomplish  the
+task.  Finding  location  of  facial  feature  units  is  of  importance  as  most  human  face  recognition
+pproaches take it as initial point. The prominent feature units in a face are eyes, nostrils and lips which
+re  usually  oriented  in  horizontal  direction  and  visually  significant  in  face  image.  The  majority  of  the
+visually significant data in image can be extracted using higher order bits of that image. Our four step
+method  consists  of  bit  planes  processing,  separating  horizontal  information  using  wavelet  transform
+(WT), binary thresholding and appropriate combination of Dilation and Erosion. The proposed method
+shows  high  accuracy  in  the  presence  of  all  real  world  situations  like  various  gestures,  illumination"

+8eeab0aeb3170b1ef6497745d2a9bf78c001331d,Machine Vision Techniques for the Evaluation of Animal Behaviour,"Machine Vision Techniques for the
+Evaluation of Animal Behaviour
+Dr Derek Robert Magee
+Submitted in accordance with the requirements
+for the degree of Doctor of Philosophy
+SI T Y O
+The University of Leeds
+School of Computing
+October 2000
+The candidate confirms that the work submitted is his own and that appropriate credit has been
+given where reference has been made to the work of others."

+8e94ed0d7606408a0833e69c3185d6dcbe22bbbe,For your eyes only,"© 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  promotional  purposes,
+reating  new  collective  works,  for  resale  or  redistribution  to  servers  or  lists,  or
+reuse of any copyrighted component of this work in other works.
+Pre-print of article that will appear at WACV 2012."

+8e6957334ab60111fd7e2ae59b008a745223aabe,An incremental learning face recognition system for single sample per person,"An Incremental Learning Face Recognition System
+for Single Sample Per Person
+Tao Zhu, Furao Shen and Jinxi Zhao
+recognition system. In nowadays, most of the existed in-
+remental
+learning systems are designed to update the
+eigenspace of face data as new images arrive [8]. To our
+knowledge, few of them can automatically decide when to
+learn new information from an input image. In other words,
+they need an external observer to tell them how to prevent
+learning distorted information from a misclassified or non-
+ideal image. Moreover, few of these methods can be applied
+in the scenario of single sample per person.
+In this paper, we mainly focus on the issue of robust incre-
+mental face recognition under the condition of one training
+sample per person. Inspired by the Single Image subspace
+(SIS) approach [9], we propose an incremental learning face
+recognition system. The goals of the proposed system are:
+(1) self-adaptively updating and adjusting training samples
+during learning process; (2) keeping learning new knowledge"

+8e64f7f38db57ddc197cc7a9c51b914920ee99cc,An Optimized Framework for Detection and Tracking of Video Objects in Challenging Backgrounds,"The International Journal of Multimedia & Its Applications (IJMA) Vol.6, No.4, August 2014
+AN OPTIMIZED FRAMEWORK FOR DETECTION
+AND TRACKING OF VIDEO OBJECTS IN
+CHALLENGING BACKGROUNDS
+Sukanyathara J1 and Alphonsa Kuriakose2
+Department of Computer Science & Engineering,
+Viswajyothi College of Engineering & Technology, MG University, Kerala, India"

+8e461978359b056d1b4770508e7a567dbed49776,LOMo: Latent Ordinal Model for Facial Analysis in Videos,"LOMo: Latent Ordinal Model for Facial Analysis in Videos
+Karan Sikka1,∗
+Gaurav Sharma2,3,†
+Marian Bartlett1,∗,‡
+UCSD, USA
+MPI for Informatics, Germany
+IIT Kanpur, India"

+8ea30ade85880b94b74b56a9bac013585cb4c34b,From turbo hidden Markov models to turbo state-space models [face recognition applications],"FROM TURBO HIDDEN MARKOV MODELS TO TURBO STATE-SPACE MODELS
+Florent Perronnin and Jean-Luc Dugelay
+Institut Eur´ecom
+Multimedia Communications Department
+BP 193, 06904 Sophia Antipolis Cedex, France
+fflorent.perronnin,"

+8e723e8a3a5a9ea258591d384232e0251f842a1c,Twin-GAN - Unpaired Cross-Domain Image Translation with Weight-Sharing GANs,"Twin-GAN – Unpaired Cross-Domain Image
+Translation with Weight-Sharing GANs
+Jerry Li
+Google
+600 Amphitheatre Parkway, Mountain View, CA 94040"

+8e8e3f2e66494b9b6782fb9e3f52aeb8e1b0d125,"Detecting and classifying scars, marks, and tattoos found in the wild","in  any  current  or
+future  media,
+for  all  other  uses,
+ 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be
+obtained
+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.
+Pre-print of article that will appear at BTAS 2012.!!"

+8e92168860d8c6591a0c088573629e4d167f5947,"Look at the Driver, Look at the Road: No Distraction! No Accident!","Look at the Driver, Look at the Road: No Distraction! No Accident!
+Mahdi Rezaei and Reinhard Klette
+The University of Auckland
+Private Bag 92019, Auckland, New Zealand"

+8e378ef01171b33c59c17ff5798f30293fe30686,A system for automatic face analysis based on statistical shape and texture models,"Lehrstuhl f¨ur Mensch-Maschine-Kommunikation
+der Technischen Universit¨at M¨unchen
+A System for Automatic Face Analysis
+Based on
+Statistical Shape and Texture Models
+Ronald M¨uller
+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
+genehmigten Dissertation
+Vorsitzender: Prof. Dr. rer. nat. Bernhard Wolf
+Pr¨ufer der Dissertation:
+. Prof. Dr.-Ing. habil. Gerhard Rigoll
+. Prof. Dr.-Ing. habil. Alexander W. Koch
+Die Dissertation wurde am 28.02.2008 bei der Technischen Universit¨at M¨unchen
+eingereicht und durch die Fakult¨at f¨ur Elektrotechnik und Informationstechnik
+m 18.09.2008 angenommen."

+8e579a8a43f6af1d66e927a48b89e8296eba63f7,Learning to hash faces using large feature vectors,"Learning to Hash Faces Using Large Feature Vectors
+Cassio E. dos Santos Jr.∗, Ewa Kijak†, Guillaume Gravier†, William Robson Schwartz∗
+Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
+IRISA & Inria Rennes (CNRS, Univ. Rennes 1), Campus de Beaulieu, Rennes, France"

+8eb2e7c9017b4a110978a1bb504accbc7b9ba211,Marching into battle: synchronized walking diminishes the conceptualized formidability of an antagonist in men.,"Downloaded from
+http://rsbl.royalsocietypublishing.org/
+on June 9, 2015
+rsbl.royalsocietypublishing.org
+Research
+Cite this article: Fessler DMT, Holbrook C.
+014 Marching into battle: synchronized
+walking diminishes the conceptualized
+formidability of an antagonist in men. Biol.
+Lett. 10: 20140592.
+http://dx.doi.org/10.1098/rsbl.2014.0592
+Received: 25 July 2014
+Accepted: 6 August 2014
+Subject Areas:
+ehaviour
+Keywords:
+synchrony, alliance, fighting capacity
+Author for correspondence:
+Daniel M. T. Fessler
+e-mail:"

+8ec7194952ee9e7cf383b1a1b0aeccaed5b7daaa,Constrained multi-target tracking for team sports activities,"Gade and Moeslund IPSJ Transactions on Computer Vision and
+Applications  (2018) 10:2
+DOI 10.1186/s41074-017-0038-z
+IPSJ Transactions on Computer
+Vision and Applications
+SYSTEMS PAPER
+Open Access
+Constrained multi-target tracking for
+team sports activities
+Rikke Gade*
+nd Thomas B. Moeslund"

+8e7493bdabddc2ec99cfa2b9b862343f70c1701a,Pseudo-positive regularization for deep person re-identification,"Noname manuscript No.
+(will be inserted by the editor)
+Pseudo-positive regularization for deep person re-identification
+Fuqing Zhu · Xiangwei Kong · Haiyan Fu · Qi Tian
+Received: date / Accepted: date"

+8e8c511ebc12a093d3f73a4717ec71c32e4dbd49,The use of visual information in the recognition of posed and spontaneous facial expressions.,"The use of visual information in the recognition of posed and
+spontaneous facial expressions
+Camille Saumure
+Marie-Pier Plouffe-Demers
+Amanda Est ´ephan
+Daniel Fiset
+Caroline Blais
+Department of Psychoeducation and Psychology,
+Universit ´e du Qu ´ebec en Outaouais,
+Gatineau, Qu ´ebec, Canada
+Department of Psychoeducation and Psychology,
+Universit ´e du Qu ´ebec en Outaouais,
+Gatineau, Qu ´ebec, Canada
+Department of Psychoeducation and Psychology,
+Universit ´e du Qu ´ebec en Outaouais,
+Gatineau, Qu ´ebec, Canada
+Department of Psychoeducation and Psychology,
+Universit ´e du Qu ´ebec en Outaouais,
+Gatineau, Qu ´ebec, Canada
+Department of Psychoeducation and Psychology,"

+8e6526b46a52a18028336a8d026e9d466aa12edf,Moving Poselets: A Discriminative and Interpretable Skeletal Motion Representation for Action Recognition,"Moving Poselets: A Discriminative and Interpretable Skeletal Motion
+Representation for Action Recognition
+Lingling Tao and Ren´e Vidal
+Center for Imaging Science, Johns Hopkins University
+ltao4,"

+8ed051be31309a71b75e584bc812b71a0344a019,Class-Based Feature Matching Across Unrestricted Transformations,"Class-based feature matching across unrestricted
+transformations
+Evgeniy Bart and Shimon Ullman"

+8e36100cb144685c26e46ad034c524b830b8b2f2,Modeling Facial Geometry using Compositional VAEs,"Modeling Facial Geometry using Compositional VAEs
+Timur Bagautdinov∗1, Chenglei Wu2, Jason Saragih2, Pascal Fua1, Yaser Sheikh2
+´Ecole Polytechnique F´ed´erale de Lausanne
+Facebook Reality Labs, Pittsburgh"

+8e112ad656ff90720ae609841bd0fcb2caa90d65,"""Show me the cup"": Reference with Continuous Representations",[cs.CL]  28 Jun 2016

+8edcd935362c899e630349784e4ff8adb3a69cdc,Person re-identification using deformable patch metric learning,"Person Re-identification using Deformable Patch Metric Learning
+Sławomir B ˛ak
+Peter Carr
+Disney Research
+Pittsburgh, PA, USA, 15213"

+8ee50fd3e19729a487f7196b682ccaa2d17aa0df,Improving head and body pose estimation through semi-supervised manifold alignment,"IMPROVING HEAD AND BODY POSE ESTIMATION
+THROUGH SEMI-SUPERVISED MANIFOLD ALIGNMENT
+Alexandre Heili(cid:63), Jagannadan Varadarajan†, Bernard Ghanem‡, Narendra Ahuja(cid:63)†, Jean-Marc Odobez(cid:63)
+(cid:63) Idiap Research Institute, ´Ecole Polytechnique F´ed´erale de Lausanne, Switzerland
+Advanced Digital Sciences Center, Singapore, (cid:63)† University of Illinois at Urbana-Champaign
+King Abdullah University of Science and Technology, Saudi Arabia"

+8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b,Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning,"International Journal of Computer Vision manuscript No.
+(will be inserted by the editor)
+Learning from Longitudinal Face Demonstration -
+Where Tractable Deep Modeling Meets Inverse Reinforcement Learning
+Chi Nhan Duong · Kha Gia Quach · Khoa Luu · T. Hoang Ngan Le · Marios
+Savvides · Tien D. Bui
+Received: date / Accepted: date"

+8e0cc47c194ef7daf15aaef14d61e493879ae137,Deep Network Flow for Multi-object Tracking,"Deep Network Flow for Multi-Object Tracking
+Samuel Schulter
+Paul Vernaza Wongun Choi Manmohan Chandraker
+NEC Laboratories America, Media Analytics Department
+Cupertino, CA, USA"

+22cf367d14e646914cc959bbcd402df0c20cd0dc,Towards Automated Melanoma Screening: Proper Computer Vision & Reliable Results,"Towards Automated Melanoma Screening:
+Proper Computer Vision & Reliable Results
+Michel Fornaciali, Micael Carvalho, Fl´avia Vasques Bittencourt, Sandra Avila, Eduardo Valle"

+2258e01865367018ed6f4262c880df85b94959f8,Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics,"Hindawi Publishing Corporation
+EURASIP Journal on Image and Video Processing
+Volume 2008, Article ID 246309, 10 pages
+doi:10.1155/2008/246309
+Research Article
+Evaluating Multiple Object Tracking Performance:
+The CLEAR MOT Metrics
+Keni Bernardin and Rainer Stiefelhagen
+Interactive Systems Lab, Institut f¨ur Theoretische Informatik, Universit¨at Karlsruhe, 76131 Karlsruhe, Germany
+Correspondence should be addressed to Keni Bernardin,
+Received 2 November 2007; Accepted 23 April 2008
+Recommended by Carlo Regazzoni
+Simultaneous tracking of multiple persons in real-world environments is an active research field and several approaches have
+een proposed, based on a variety of features and algorithms. Recently, there has been a growing interest in organizing systematic
+evaluations to compare the various techniques. Unfortunately, the lack of common metrics for measuring the performance of
+multiple object trackers still makes it hard to compare their results. In this work, we introduce two intuitive and general metrics to
+llow for objective comparison of tracker characteristics, focusing on their precision in estimating object locations, their accuracy
+in recognizing object configurations and their ability to consistently label objects over time. These metrics have been extensively
+used in two large-scale international evaluations, the 2006 and 2007 CLEAR evaluations, to measure and compare the performance
+of multiple object trackers for a wide variety of tracking tasks. Selected performance results are presented and the advantages and"

+229e105fd4d34815e476702dd5ca4362943c475d,WildDash - Creating Hazard-Aware Benchmarks,"WildDash - Creating Hazard-Aware Benchmarks
+Oliver Zendel, Katrin Honauer, Markus Murschitz, Daniel Steininger, and
+Gustavo Fern´andez Dom´ınguez
+AIT, Austrian Institute of Technology, Giefinggasse 4, 1210, Vienna, Austria
+{oliver.zendel, katrin.honauer.fl, markus.murschitz, daniel.steininger,"

+22043cbd2b70cb8195d8d0500460ddc00ddb1a62,Separability-Oriented Subclass Discriminant Analysis,"Separability-Oriented Subclass Discriminant
+Analysis
+Huan Wan, Hui Wang, Gongde Guo, Xin Wei"

+22137ce9c01a8fdebf92ef35407a5a5d18730dde,Recognition of Faces from single and Multi-View Videos,

+2270c94d3f9d9451b3d337aa5ba2d5681cb98497,Evaluation of GIST descriptors for web-scale image search,"Evaluation of GIST descriptors for web-scale image
+search
+Matthijs Douze, Hervé Jégou, Sandhawalia Harsimrat, Laurent Amsaleg,
+Cordelia Schmid
+To cite this version:
+Matthijs Douze, Hervé Jégou, Sandhawalia Harsimrat, Laurent Amsaleg, Cordelia Schmid. Evaluation
+of GIST descriptors for web-scale image search. CIVR 2009 - International Conference on Image and
+Video Retrieval, Jul 2009, Santorini, Greece. ACM, pp.19:1-8, 2009, <10.1145/1646396.1646421>.
+<inria-00394212>
+HAL Id: inria-00394212
+https://hal.inria.fr/inria-00394212
+Submitted on 23 Mar 2012
+HAL is a multi-disciplinary open access
+rchive for the deposit and dissemination of sci-
+entific research documents, whether they are pub-
+lished or not. The documents may come from
+teaching and research institutions in France or
+broad, or from public or private research centers.
+L’archive ouverte pluridisciplinaire HAL, est
+destinée au dépôt et à la diffusion de documents"

+22fb836a593267d9ff09a4d12aa5b4a6fd52c81e,Brief report: Visual processing of faces in individuals with fragile X syndrome: an eye tracking study.,"J Autism Dev Disord (2009) 39:946–952
+DOI 10.1007/s10803-009-0744-1
+B R I E F R E P O R T
+Brief Report: Visual Processing of Faces in Individuals
+with Fragile X Syndrome: An Eye Tracking Study
+Faraz Farzin Æ Susan M. Rivera Æ David Hessl
+Published online: 28 April 2009
+Ó The Author(s) 2009. This article is published with open access at Springerlink.com"

+221debbd7878ed303eaa4666f8df04a48e4c5070,Making Computer Vision Computationally Efficient,"Making computer vision computationally efficient
+Narayanan Sundaram
+Electrical Engineering and Computer Sciences
+University of California at Berkeley
+Technical Report No. UCB/EECS-2012-106
+http://www.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-106.html
+May 11, 2012"

+22264e60f1dfbc7d0b52549d1de560993dd96e46,UnitBox: An Advanced Object Detection Network,"UnitBox: An Advanced Object Detection Network
+Jiahui Yu1,2
+Yuning Jiang2
+Zhangyang Wang1
+Zhimin Cao2
+Thomas Huang1
+University of Illinois at Urbana−Champaign
+Megvii Inc
+{jyu79, zwang119, {jyn,"

+220f8088f2fc1ddd9df1a0b583d3d01cb929ee8d,ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images,"Noname manuscript No.
+(will be inserted by the editor)
+ROML: A Robust Feature Correspondence Approach for
+Matching Objects in A Set of Images
+Kui Jia · Tsung-Han Chan · Zinan Zeng · Shenghua Gao
+Gang Wang · Tianzhu Zhang · Yi Ma"

+22029de24dbf6867658145264f36b161c40a09d8,A Discriminative Representation of Convolutional Features for Indoor Scene Recognition,"A Discriminative Representation of Convolutional
+Features for Indoor Scene Recognition
+S. H. Khan, M. Hayat, M. Bennamoun, Member, IEEE, R. Togneri, and F. Sohel, Senior Member, IEEE"

+22c01d758a4941c01239fa8facdb3407559132ed,Segmentation and Restoration of Images on Surfaces by Parametric Active Contours with Topology Changes,"Segmentation and Restoration of Images on Surfaces by Parametric
+Active Contours with Topology Changes
+Heike Benninghoff∗ and Harald Garcke†"

+22f8148e43c50341bad686d7fccb425b0682e667,Facial ethnicity classification based on boosted local texture and shape descriptions,"Facial Ethnicity Classification based on Boosted Local Texture and
+Shape Descriptions
+Huaxiong Ding, Di Huang, IEEE Member, Yunhong Wang, IEEE Member, Liming Chen, IEEE Member,"

+224547337e1ace6411a69c2e06ce538bc67923f7,Convolutional Neural Network for Camera Pose Estimation from Object Detections,"CONVOLUTIONAL NEURAL NETWORK FOR CAMERA POSE ESTIMATION FROM
+OBJECT DETECTIONS
+E. V. Shalnova, A. S. Konushina,b
+MSU, Faculty of Computational Mathematics and Cybernetics, Russia, 119991, Moscow, GSP-1, 1-52, Leninskiye Gory, -
+HSE, Faculty of Computer Science, Russia, 125319, Moscow, 3, Kochnovsky Proezd
+KEY WORDS: Camera Pose, CNN, Head Detection, Computer Graphics
+Commission II, WG II/5"

+223ec77652c268b98c298327d42aacea8f3ce23f,Acted Facial Expressions In The Wild Database,"TR-CS-11-02
+Acted Facial Expressions In The Wild
+Database
+Abhinav Dhall, Roland Goecke, Simon
+Lucey, Tom Gedeon
+September 2011
+ANU Computer Science Technical Report Series"

+228558a2a38a6937e3c7b1775144fea290d65d6c,Nonparametric Context Modeling of Local Appearance for Pose- and Expression-Robust Facial Landmark Localization,"Nonparametric Context Modeling of Local Appearance
+for Pose- and Expression-Robust Facial Landmark Localization
+Brandon M. Smith1
+Jonathan Brandt2
+University of Wisconsin–Madison
+Zhe Lin2
+Adobe Research
+Li Zhang1
+http://www.cs.wisc.edu/~lizhang/projects/face-landmark-localization/"

+2230848e506553159e0edfc20472b8cd6084be17,Vision Based Hand Puppet,"ENTERFACE’10, JULY 12TH - AUGUST 6TH, AMSTERDAM, THE NETHERLANDS.
+Vision Based Hand Puppet
+Cem Keskin, ˙Ismail Arı, Tolga Eren, Furkan Kırac¸, Lukas Rybok, Hazım Ekenel, Rainer Stiefelhagen, Lale Akarun"

+22ee43dbd2bdefbc8945d453c6cd453f49ab5eb7,Urban Traffic Surveillance in Smart Cities Using Radar Images,"Urban Traffic Surveillance in Smart Cities
+Using Radar Images
+J. S´anchez-Oro, David Fern´andez-L´opez, R. Cabido,
+Antonio S. Montemayor, and Juan Jos´e Pantrigo
+Dept. Ciencias de la Computaci´on
+Universidad Rey Juan Carlos
+Spain"

+22fdd8d65463f520f054bf4f6d2d216b54fc5677,Efficient Small and Capital Handwritten Character Recognition with Noise Reduction,"International Journal of Emerging Technology and Advanced Engineering
+Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 3, Issue 8, August 2013)
+Efficient Small and Capital Handwritten Character
+Recognition with Noise Reduction
+Beerendra Kumar Pal, Prof. Shailendra Tiwari, Prof. Sandeep Kumar
+Department of Computer Science Engg., IES College of Technology, Bhopal"

+2251a88fbccb0228d6d846b60ac3eeabe468e0f1,Matrix-Based Kernel Subspace Methods,"Matrix-Based Kernel Subspace Methods
+S. Kevin Zhou
+Integrated Data Systems Department
+Siemens Corporate Research
+755 College Road East, Princeton, NJ 08540
+Email:"

+225fbfd99465033e993460a1bc838a87fbf42346,Gaussian-Bernoulli deep Boltzmann machine,"Gaussian-Bernoulli Deep Boltzmann Machine
+KyungHyun Cho, Tapani Raiko and Alexander Ilin
+Department of Information and Computer Science,
+Aalto University School of Science
+Email:"

+222d86787abed673600f1054796367f439c2eec1,Etworks via a Ttention T Ransfer,"Published as a conference paper at ICLR 2017
+PAYING MORE ATTENTION TO ATTENTION:
+IMPROVING THE PERFORMANCE OF CONVOLUTIONAL
+NEURAL NETWORKS VIA ATTENTION TRANSFER
+Sergey Zagoruyko, Nikos Komodakis
+Universit´e Paris-Est, ´Ecole des Ponts ParisTech
+Paris, France"

+22532c6e38ded690dc1420f05c18e23f6f24804d,Chapter 5 Genetic & Evolutionary Biometrics,"We are IntechOpen,
+the world’s leading publisher of
+Open Access books
+Built by scientists, for scientists
+,700
+08,500
+.7 M
+Open access books available
+International  authors and editors
+Downloads
+Our authors are among the
+Countries delivered to
+TOP 1%
+2.2%
+most cited scientists
+Contributors from top 500 universities
+Selection of our books indexed in the Book Citation Index
+in Web of Science™ Core Collection (BKCI)
+Interested in publishing with us?
+Contact"

+2251a1efad0cef802fd64fc79cc1b7007b64f425,Estimating 3D Pose via Stochastic Search and Expectation Maximization,"-IJE=JEC !, 2IA LE= 5J?D=IJE? 5A=H?D
+-NFA?J=JE =NEE=JE
+*A ,=K>AO :E=CDK= :EA
+,AF=HJAJ B +FKJAH 5?EA?A 5M=IA= 7ELAHIEJO
+5)  &22
+*,=K>AO::EA(IM=IA==?K
+)>IJH=?J 1 JDEI F=FAH = =FFH=?D EI J AIJE=JA !, FIA
+KIEC = F=HJ IJ?D=IJE? ) HAFHAIAJ=JE B JDA
+DK= EI LAH EJI JD=J AFOI BK
+A=HJ >AJMAA EJI 6DEI HAFHAIAJ=JE EI
+=C=EIJ = FFK=H =JAH=JELA LAH F=HJI KIEC E>
+J EI IDM JD=J KIEC BK E> HAIKJI E =
+JD=J EI B=H HA HAFHAIAJ=JELA B JDA HECE= JH=EEC .KH
+JDAHHA EJ EI JD=J -NFA?J=JE =NEE=JE EI IKEJ=>A
+BH AIJE=JEC !, FIA >AJJAH ?LAHCA?A EI MDA KIEC BK
+E> 6 JDA A?=?O B JDA EJ
+EI J JDA B !, FIA AIJE=JE KIEC = IECA ?K=H
+E=CA 3K=JEJ=JELA HAIKJI =HA KIEC JDA 0K=-L=
+MDE?D ?
H JD=J JDA KJFAHBHI JD=J B JDA ?
+FAJEC F=HJ 1 JDEI MH KIJ = IECA EI A=HJ J"

+227b18fab568472bf14f9665cedfb95ed33e5fce,Compositional Dictionaries for Domain Adaptive Face Recognition,"Compositional Dictionaries for Domain Adaptive
+Face Recognition
+Qiang Qiu, and Rama Chellappa, Fellow, IEEE."

+227b1a09b942eaf130d1d84cdcabf98921780a22,Multi-feature shape regression for face alignment,"Yang et al. EURASIP Journal on Advances in Signal Processing  (2018) 2018:51
+https://doi.org/10.1186/s13634-018-0572-6
+EURASIP Journal on Advances
+in Signal Processing
+R ES EAR CH
+Multi-feature shape regression for face
+lignment
+Wei-Jong Yang, Yi-Chen Chen, Pau-Choo Chung and Jar-Ferr Yang*
+Open Access"

+22029beb936c9871757813758c5ae3e5820260c9,Proximity Distribution Kernels for Geometric Context in Category Recognition,"Proximity Distribution Kernels for Geometric Context in Category Recognition
+Haibin Ling∗
+Stefano Soatto
+Integrated Data Systems Department
+Computer Science Department
+Siemens Corporate Research, Princeton, NJ
+University of California, Los Angeles, CA
+haibin.ling siemens.com
+soatto cs.ucla.edu"

+2279cae83716e2a00181593a7b10966020dd11d1,Real-time head pose estimation and facial feature localization using a depth sensor and triangular surface patch features,"MITSUBISHI ELECTRIC RESEARCH LABORATORIES
+http://www.merl.com
+Real-time head pose estimation and facial feature localization
+using a depth sensor and triangular surface patch features
+Papazov, C.; Marks, T.K.; Jones, M.J.
+TR2015-069
+June 2015"

+22086b3c772ba638e7d50b10bcf544abd93c9305,Face Localization based on Skin Color,"International Journal of Computer Applications (0975 – 8887)
+Volume 109 – No. 12, January 2015
+Face Localization based on Skin Color
+M. Mahadevi
+Research Scholar, M.S. University
+S.D.N.B. Vaishnav College for Women
+Chrompet,Chennai-44"

+224ffad672f7e6c7995780eb9bd3c8a141cb25cd,Understanding pedestrian behaviors from stationary crowd groups,"Understanding Pedestrian Behaviors from Stationary Crowd Groups
+Shuai Yi1, Hongsheng Li1,2, Xiaogang Wang1
+Department of Electronic Engineering, The Chinese University of Hong Kong.
+School of Electronic Engineering, University of Electronic Science and Technology of China.
+Pedestrian behavior modeling and analysis is important for crowd scene un-
+derstanding and has various applications in video surveillance. Stationary
+rowd groups are a key factor influencing pedestrian walking patterns but
+was largely ignored in literature. As shown in Figure 1 (d), the walking
+path of a pedestrian (black curve) is affected by a stationary crowd group.
+Without modeling the stationary crowd group, it is difficult to explain why
+the pedestrian detours when approaching the destination (Figure 1 (f)). Sta-
+tionary crowd groups can serve as multiple roles (Figure 1 (e)) for different
+pedestrians, such as source, destination, or obstacle. Moreover, the spatial
+distribution of stationary crowd groups might change over time (Figure 1
+(a)-(d)), which leads to the dynamic variations of traffic patterns. In our
+work, the factor of stationary crowd groups is introduced for the first time
+to model pedestrian behaviors.
+The Proposed Pedestrian Behavior Model
+A general energy map M is proposed to model the traveling difficulty of
+every location of the scene. It can be modeled with three channels calculated"

+227094e85ae30794d03f3cee426f40877ac2b11b,Performance Improvements in Face Classification using Random Forest,"Vatsal Vishwakarma, Abhishek Kumar Srivastava / International Journal of Engineering Research and
+Applications (IJERA)      ISSN: 2248-9622   www.ijera.com
+Vol. 2, Issue 3, May-Jun 2012, pp.2384-2388
+Performance Improvements in Face Classification using Random Forest
+Vatsal Vishwakarma*, Abhishek Kumar Srivastava **
+*(Department of Electronics and Communication, Lovely Professional University, Jalandhar , India.)
+** (Department of Electronics and Communication, Lovely Professional University, Jalandhar , India.)"

+2236294e803316c5934fa387f27d128fa7819a03,Iterative Human Pose Estimation based on A New Part Appearance Model,"Appl. Math. Inf. Sci. 8, No. 1L, 311-317 (2014)
+Applied Mathematics & Information Sciences
+An International Journal
+http://dx.doi.org/10.12785/amis/081L39
+Iterative Human Pose Estimation based on A New Part
+Appearance Model
+Wang Hao, Meng Fanhui and Fang Baofu∗
+School of Computer and Information, Hefei Universty of Technology, Hefei, China
+Received: 15 May. 2013, Revised: 9 Sep. 2013, Accepted: 10 Sep. 2013
+Published online: 1 Apr. 2014"

+22dabd4f092e7f3bdaf352edd925ecc59821e168,Exploiting side information in locality preserving projection,"Deakin Research Online
+This is the published version:
+An, Senjian, Liu, Wanquan and Venkatesh, Svetha 2008, Exploiting side information in
+locality preserving projection, in CVPR 2008 : Proceedings of the 26th IEEE Conference on
+Computer Vision and Pattern Recognition, IEEE, Washington, D. C., pp. 1-8.
+Available from Deakin Research Online:
+http://hdl.handle.net/10536/DRO/DU:30044576
+Reproduced with the kind permissions of the copyright owner.
+Personal use of this material is permitted. However, permission to reprint/republish this
+material for advertising or promotional purposes or for creating new collective works for
+resale or redistribution to servers or lists, or to reuse any copyrighted component of this work
+in other works must be obtained from the IEEE.
+Copyright : 2008, IEEE"

+224868cc607dc38b7eca8536018580c577f9fedf,Exploring Temporal Patterns in Classifying Frustrated and Delighted Smiles,"IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, MANUSCRIPT ID
+Exploring Temporal Patterns in Classifying
+Frustrated and Delighted Smiles
+Mohammed E. Hoque, Daniel J. McDuff, and Rosalind W. Picard, Member, IEEE"

+224d4cf75e8baf32a795f38ee8ccfdf82e4c5a70,Identifying Exceptional Descriptions of People Using Topic Modeling and Subgroup Discovery,"Identifying Exceptional Descriptions of People
+using Topic Modeling and Subgroup Discovery
+Andrew T. Hendrickson, Jason Wang, and Martin Atzmueller
+Tilburg University, 5037AB, the Netherlands
+{a.hendrickson, y.w.wang,"

+220d62414053519f7b9a6aecb4aa9f775014c98c,Incremental Feature Transformation for Temporal Space,"Incremental Feature Transformation for Temporal Space
+International Journal of Computer Applications (0975 – 8887)
+Volume 145 – No.8, July 2016
+Preeti Mahadev
+University of Mysore,
+Mysuru, Karnataka,
+India
+P. Nagabhushan
+University of Mysore,
+Mysuru, Karnataka,
+India"

+229bce6384ae16a388881e766bfa5a672b61dc9b,Application of Video Scene Semantic Recognition Technology in Smart Video,"ISSN 1330-3651 (Print), ISSN 1848-6339 (Online)                                                                                                                       https://doi.org/10.17559/TV-20180620082101
+Original scientific paper
+Application of Video Scene Semantic Recognition Technology in Smart Video
+Lele QIN, Lihua KANG"

+22e189a813529a8f43ad76b318207d9a4b6de71a,What will Happen Next? Forecasting Player Moves in Sports Videos,"What will Happen Next?
+Forecasting Player Moves in Sports Videos
+Panna Felsen
+UC Berkeley, STATS
+Pulkit Agrawal
+UC Berkeley
+Jitendra Malik
+UC Berkeley"

+22e4e64c1172c90ba23f634d850931ee5f9a972f,Robust Bayesian fitting of 3D morphable model,"Robust Bayesian Fitting of 3D Morphable
+Model
+Claudia Arellano and Rozenn Dahyot
+School of Computer Science and Statistics
+Trinity College Dublin, Ireland
+7th November 2013"

+227a312324edd41892eb2c1dbc4bf8d94984a326,Deep Learning Based Vehicle Make-Model Classification,"Deep Learning Based Vehicle Make-Model
+Classification
+Burak Satar1 and Ahmet Emir Dirik2(cid:63)
+Uludag University, Bursa, Turkey
+Department of Electrical-Electronics Engineering
+Uludag University, Bursa, Turkey
+Department of Computer Engineering"

+22c89775cb5309eae5ac1f9ce9d1c2d569439492,Face recognition based on extended separable lattice 2-D HMMS,"978-1-4673-0046-9/12/$26.00 ©2012 IEEE
+ICASSP 2012"

+25ae83767c926898047bbc50971b5b11de34e12a,Detection and Tracking of Occluded People,"Noname manuscript No.
+(will be inserted by the editor)
+Detection and Tracking of Occluded People
+Siyu Tang · Mykhaylo Andriluka · Bernt Schiele
+Received: date / Accepted: date"

+25b9ef5c78dbf17c71e6fd94054dd55d66c39264,Multimedia Semantic Integrity Assessment Using Joint Embedding Of Images And Text,"Multimedia Semantic Integrity Assessment Using Joint
+Embedding Of Images And Text
+Ayush Jaiswal∗
+USC Information Sciences Institute
+Marina del Rey, CA, USA
+Ekraam Sabir∗
+USC Information Sciences Institute
+Marina del Rey, CA, USA
+Wael AbdAlmageed
+USC Information Sciences Institute
+Marina del Rey, CA, USA
+Premkumar Natarajan
+USC Information Sciences Institute
+Marina del Rey, CA, USA"

+25c19d8c85462b3b0926820ee5a92fc55b81c35a,Pose-Invariant Facial Expression Recognition Using Variable-Intensity Templates,"Noname manuscript No.
+(will be inserted by the editor)
+Pose-Invariant Facial Expression Recognition
+Using Variable-Intensity Templates
+Shiro Kumano · Kazuhiro Otsuka · Junji Yamato ·
+Eisaku Maeda · Yoichi Sato
+Received: date / Accepted: date"

+2528022c14428ad5912c323f6a356009457c985b,Automatic 3D facial expression recognition using geometric and textured feature fusion,"Automatic 3D Facial Expression Recognition using Geometric and
+Textured Feature Fusion
+Department of Electronic and Computer Engineering, Brunel University London, UK
+Asim Jan and Hongying Meng"

+25474c21613607f6bb7687a281d5f9d4ffa1f9f3,Recognizing disguised faces,"This article was downloaded by: [Carnegie Mellon University]
+On: 03 May 2012, At: 06:22
+Publisher: Psychology Press
+Informa Ltd Registered in England and Wales Registered Number: 1072954
+Registered office: Mortimer House, 37-41 Mortimer Street, London W1T 3JH,
+Visual Cognition
+Publication details, including instructions for authors
+nd subscription information:
+http://www.tandfonline.com/loi/pvis20
+Recognizing disguised faces
+Giulia Righi a , Jessie J. Peissig b & Michael J. Tarr c
+Children's Hospital Boston, Harvard Medical School,
+Boston, MA, USA
+Department of Psychology, California State University
+Fullerton, Fullerton, CA, USA
+Department of Psychology, Carnegie Mellon
+University, Pittsburgh, PA, USA
+Available online: 13 Feb 2012
+To cite this article: Giulia Righi, Jessie J. Peissig & Michael J. Tarr (2012): Recognizing
+disguised faces, Visual Cognition, 20:2, 143-169"

+25ed9bd6c5febac832f3d68b96123e6ba013df83,Object segmentation by alignment of poselet activations to image contours,"Object Segmentation by Alignment of Poselet Activations to Image Contours
+Thomas Brox1, Lubomir Bourdev2,3, Subhransu Maji2, and Jitendra Malik2∗
+University of California at Berkeley
+University of Freiburg, Germany
+Adobe Systems Inc., San Jose, CA"

+258a8c6710a9b0c2dc3818333ec035730062b1a5,Benelearn 2005 Annual Machine Learning Conference of Belgium and the Netherlands CTIT P ROCEEDINGS OF THE FOURTEENTH,"Benelearn 2005
+Annual Machine Learning Conference of
+Belgium and the Netherlands
+CTIT PROCEEDINGS OF THE FOURTEENTH
+ANNUAL MACHINE LEARNING CONFERENCE
+OF BELGIUM AND THE NETHERLANDS
+Martijn van Otterlo, Mannes Poel and Anton Nijholt (eds.)"

+25695abfe51209798f3b68fb42cfad7a96356f1f,An Investigation into Combining Both Facial Detection and Landmark Localisation into a Unified Procedure Using Gpu Computing,"AN INVESTIGATION INTO COMBINING
+BOTH FACIAL DETECTION AND
+LANDMARK LOCALISATION INTO A
+UNIFIED PROCEDURE USING GPU
+COMPUTING
+J M McDonagh
+MSc by Research"

+25b83cffddff334d78c55db4d67c65b1d8999b2f,Optimization of Person Re-Identification through Visual Descriptors,

+257e61e6b38ae23b7ddce9907c05b0e78be4d79d,The LORACs prior for VAEs: Letting the Trees Speak for the Data,"The LORACs prior for VAEs: Letting the Trees Speak for the Data
+Sharad Vikram
+U.C. San Diego1
+Matthew D. Hoffman
+Matthew J. Johnson
+Google AI
+Google Brain"

+253325f09f07c2f7a05191f76e4977f473f4bac5,Filtering and Optimization Strategies for Markerless Human Motion Capture,"FILTERING AND OPTIMIZATION
+STRATEGIES FOR MARKERLESS
+HUMAN MOTION CAPTURE WITH
+SKELETON-BASED SHAPE MODELS.
+DISSERTATION
+ZUR ERLANGUNG DES GRADES DES
+DOKTORS DER INGENIEURWISSENSCHAFTEN (DR.-ING.)
+DER NATURWISSENSCHAFTLICH-TECHNISCHEN FAKULT ¨ATEN
+DER UNIVERSIT ¨AT DES SAARLANDES
+VORGELEGT VON
+JUERGEN GALL
+SAARBR ¨UCKEN"

+250ebcd1a8da31f0071d07954eea4426bb80644c,DenseBox: Unifying Landmark Localization with End to End Object Detection,"DenseBox: Unifying Landmark Localization with
+End to End Object Detection
+Lichao Huang1
+Yi Yang2
+Yafeng Deng2
+Institute of Deep Learning
+Baidu Research
+Yinan Yu3"

+25a5f7179b794ab2bb7283c8337480fccee51944,Two novel motion-based algorithms for surveillance video analysis on embedded platforms,"Julien A. Vijverberg, Marijn J.H. Loomans, Cornelis J. Koeleman and Peter H.N. de With, ”Two novel
+motion-based algorithms for surveillance video analysis on embedded platforms,” Real-Time Image and Video
+Processing, Nasser Kehtarnavaz and Matthias F. Carlsohn, Editors, Proc. SPIE 7724, 77240I(2010).
+Copyright 2010 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be
+made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any
+material in this paper for a fee or for commercial purposes, or modification of the content of the paper are
+prohibited.
+http://dx.doi.org/10.1117/12.851371"

+2504b7bddd1892bc905fc5df6b5afc0b109ef40e,Function Norms and Regularization in Deep Networks,"Function Norms and Regularization in Deep
+Networks
+Amal Rannen Triki∗
+KU Leuven, ESAT-PSI, imec, Belgium
+Maxim Berman
+KU Leuven, ESAT-PSI, imec, Belgium
+Matthew B. Blaschko
+KU Leuven, ESAT-PSI, imec, Belgium"

+25337690fed69033ef1ce6944e5b78c4f06ffb81,Strategic Engagement Regulation: an Integration of Self-enhancement and Engagement,"STRATEGIC ENGAGEMENT REGULATION:
+AN INTEGRATION OF SELF-ENHANCEMENT AND ENGAGEMENT
+Jordan B. Leitner
+A dissertation submitted to the Faculty of the University of Delaware in partial
+fulfillment of the requirements for the degree of Doctor of Philosophy in Psychology
+Spring 2014
+© 2014 Jordan B. Leitner
+All Rights Reserved"

+25bb4212af72d64ec20cac533f58f7af1472e057,Person Re-Identification by Camera Correlation Aware Feature Augmentation,"Person Re-Identification by Camera
+Correlation Aware Feature Augmentation
+Ying-Cong Chen, Xiatian Zhu, Wei-Shi Zheng, Jian-Huang Lai
+Code is available at the project page:
+http://isee.sysu.edu.cn/%7ezhwshi/project/CRAFT.html
+For reference of this work, please cite:
+Ying-Cong Chen, Xiatian Zhu,Wei-Shi Zheng, and Jian-Huang Lai. Per-
+son Re-Identification by Camera Correlation Aware Feature Augmenta-
+0.1109/TPAMI.2017.2666805)
+title={Person Re-Identification by Camera Correlation Aware Feature Aug-
+mentation},
+uthor={Chen, Ying-Cong and Zhu, Xiatian and Zheng, Wei-Shi and Lai,
+Jian-Huang},
+(DOI: 10.1109/TPAMI.2017.2666805)}"

+2547607a98eff30654994902f518e30caf2f8271,Synthesizing manipulation sequences for under-specified tasks using unrolled Markov Random Fields,"Synthesizing Manipulation Sequences for Under-Specified Tasks
+using Unrolled Markov Random Fields
+Jaeyong Sung, Bart Selman and Ashutosh Saxena"

+250449a9827e125d6354f019fc7bc6205c5fd549,Adversarial Reconstruction Loss,"PAIRWISE AUGMENTED GANS WITH
+ADVERSARIAL RECONSTRUCTION LOSS
+Aibek Alanov1,2,3∗, Max Kochurov1,2∗, Daniil Yashkov5, Dmitry Vetrov1,3,4
+Samsung AI Center in Moscow
+Skolkovo Institute of Science and Technology
+National Research University Higher School of Economics
+Joint Samsung-HSE lab
+5Federal Research Center ""Informatics and Management"" of the Russian Academy of Sciences"

+253d2fd2891a97d4caa49d87094dac1ec18c7752,Bio-authentication for Layered Remote Health Monitor Framework,"JOURNAL OF MEDICAL INFORMATICS & TECHNOLOGIES Vol. 23/2014, ISSN 1642-6037
+Remote Health Monitor, Security Issues,
+Multi-Factor Biometric Authentication,
+Keystroke Analysis, Face Recognition
+Tapalina BHATTASALI1, Khalid SAEED2, Nabendu CHAKI1, Rituparna CHAKI3
+BIO-AUTHENTICATION FOR LAYERED REMOTE
+HEALTH MONITOR FRAMEWORK
+Aged people, patients with chronic disease, patients at remote location need continuous monitoring under
+healthcare professionals. Remote health monitor is likely to be an effective approach to provide healthcare service
+in a simple and cost effective way. However, effective implementation of this type of framework needs consid-
+eration of variety of security threats. In this paper, a layer based remote health monitor framework is proposed
+to analyze health condition of patients from remote places. Beside this, a multi-modal biometric authentication
+mechanism is proposed here to reduce misuse of health data and biometrics templates in heterogeneous cloud
+environment. Main focus of the paper is to design semi-continuous authentication mechanism after establishing
+mutual 1:1 trust relationship among the participants in cloud environment. Behavioral biometrics keystroke
+nalysis is fused with physiological biometrics face recognition to enhance accuracy of authentication. Instead of
+onsidering traditional performance evaluation parameters for biometrics, this paper considers a few performance
+metrics for determining efficiency of semi-continuous verification of the proposed framework.
+. INTRODUCTION
+Remote health monitor provides healthcare service for patients from remote locations to support"

+2562d6ec0044eee9d604fe3a351f80d4d10d4a3d,Conditional Image-Text Embedding Networks,"Conditional Image-Text Embedding Networks
+Bryan A. Plummer†, Paige Kordas†, M. Hadi Kiapour‡, Shuai Zheng‡,
+Robinson Piramuthu‡, and Svetlana Lazebnik†
+University of Illinois at Urbana-Champaign†
+Ebay Inc.‡"

+25d3e122fec578a14226dc7c007fb1f05ddf97f7,The first facial expression recognition and analysis challenge,"The First Facial Expression Recognition and Analysis Challenge
+Michel F. Valstar, Bihan Jiang, Marc Mehu, Maja Pantic, and Klaus Scherer"

+2597b0dccdf3d89eaffd32e202570b1fbbedd1d6,Towards Predicting the Likeability of Fashion Images,"Towards predicting the likeability of fashion images
+Jinghua Wang, Abrar Abdul Nabi, Gang Wang, Member, IEEE, Chengde Wan, Tian-Tsong Ng, Member, IEEE,"

+2594bf77a1fef68d86be74a2cb79c55499cb2bec,Learning Invariant Color Features for Person Reidentification,"Learning Invariant Color Features for
+Person Re-Identification
+Rahul Rama Varior, Student Member, IEEE,
+Gang Wang, Member, IEEE Jiwen Lu, Member, IEEE"

+25aa935217a52d83bc1637687a78017984fcb731,The Continuous N-tuple Classiier and Its Application to Face Recognition,"Thecontinuousn-tupleclassi(cid:12)eranditsapplicationto
+facerecognition
+S.M.Lucas
+DepartmentofElectronicSystemsEngineering
+UniversityofEssex
+ColchesterCOSQ,UK"

+25e62096a44e3fe2f641b492379e7c4babce7ee6,Investigating Gaze of Children with ASD in Naturalistic Settings,"Investigating Gaze of Children with ASD in Naturalistic
+Settings
+Basilio Noris1*, Jacqueline Nadel2, Mandy Barker3, Nouchine Hadjikhani4, Aude Billard1
+Learning Algorithms and Systems Laboratory, Ecole Polyte´chnique Fe´de´rale de Lausanne, Lausanne, Switzerland, 2 Emotion Centre, Hoˆ pital de La Salpe´trie`re, Paris,
+France, 3 Lausanne University Department of Child and Adolescent Psychiatry, University Hospital of Canton de Vaud, Lausanne, Switzerland, 4 Brain and Mind Institute,
+Ecole Polyte´chnique Fe´de´rale de Lausanne, Lausanne, Switzerland & Martinos Center for Biomedical Imaging Massachusetts General Hospital/Healthcare Management
+Systems/HST, Boston, Massachusetts, United States of America"

+25982e2bef817ebde7be5bb80b22a9864b979fb0,Facial Feature Tracking Under Varying Facial Expressions and Face Poses Based on Restricted Boltzmann Machines,"(a)26facialfeaturepointsthatwetrack(b)oneexamplesequenceFigure1.Facialfeaturepointtrackingunderexpressionvariationandocclusion.Inrecentyears,thesemodelshavebeenusedexplicitlytohandletheshapevariations[17][5].Thenonlinearityem-beddedinRBManditsvariantsmakesthemmoreeffectiveandefficienttorepresentthenonrigiddeformationsofob-jectscomparedtothelinearmethods.Theirlargenumberofhiddennodesanddeeparchitecturesalsocanimposesuffi-cientconstraintsaswellasenoughdegreesoffreedomsintotherepresentationsofthetargetobjects.Inthispaper,wepresentaworkthatcaneffectivelytrackfacialfeaturepointsusingfaceshapepriormodelsthatareconstructedbasedonRBM.Thefacialfeaturetrackercantrack26facialfeaturepoints(Fig.1(a))eveniffaceshavedifferentfacialexpressions,varyingposes,orocclu-sion(Fig.1(b)).Unlikethepreviousworksthattrackfacialfeaturepointsindependentlyorbuildashapemodeltocap-turethevariationsoffaceshapeorappearanceregardlessofthefacialexpressionsandfaceposes,theproposedmodelcouldcapturethedistinctionsaswellasthevariationsoffaceshapesduetofacialexpressionandposechangeinaunifiedframework.Specifically,wefirstconstructamodel1"

+251da2569036cebc2ea109972f412c5b1a9db20f,Appearance modeling for person re-identification using Weighted Brightness Transfer Functions,"1st International Conference on Pattern Recognition (ICPR 2012)
+November 11-15, 2012. Tsukuba, Japan
+978-4-9906441-1-6 ©2012 IAPR"

+25403c52a7c3092866773b0e765ab55841d3cb67,Joint Prediction of Activity Labels and Starting Times in Untrimmed Videos,"Joint Prediction of Activity Labels and Starting Times in Untrimmed Videos
+Tahmida Mahmud1, Mahmudul Hasan2, Amit K. Roy-Chowdhury1
+University of California, Riverside, CA-92521, USA
+Comcast Labs, Washington, DC-20005, USA"

+25d48ab3b05bf299fe61ed6580674e893f08380b,"Pedestrian Detection: A Survey of Methodologies, Techniques and Current Advancements","International Journal of Scientific Research Engineering & Technology (IJSRET), ISSN 2278 – 0882
+Volume 4, Issue 1, January 2015
+Pedestrian Detection: A Survey of Methodologies, Techniques and Current
+Advancements
+Tanmay Bhadra1, Joydeep Sonar2 , Arup Sarmah3 ,Chandan Jyoti Kumar4
+Dept. of CSE & IT, School of Technology
+Assam Don Bosco University"

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

+2559b15f8d4a57694a0a33bdc4ac95c479a3c79a,Contextual Object Localization With Multiple Kernel Nearest Neighbor,"Contextual Object Localization With Multiple
+Kernel Nearest Neighbor
+Brian McFee, Student Member, IEEE, Carolina Galleguillos, Student Member, IEEE, and
+Gert Lanckriet, Member, IEEE"

+259bd09bc382763f864986498e46ab0178714f58,Lifelong Machine Learning,"Lifelong Machine Learning
+November, 2016
+Zhiyuan Chen and Bing Liu
+Draft : This is mainly an early draft of the book.
+We also updated a few places after the publication, highlighted in yellow.
+Zhiyuan Chen and Bing Liu. Lifelong Machine Learning.
+Morgan & Claypool Publishers, Nov 2016.
+LifelongMachineLearningZhiyuan ChenBing Liu"

+257eb6d5ca49eb4ea90658a8668d1853d9c38af7,A Dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in,"UNIVERSITY OF CALIFORNIA
+RIVERSIDE
+Wide-Area Video Understanding: Tracking, Video Summarization and
+Algorithm-Platform Co-Design
+A Dissertation submitted in partial satisfaction
+of the requirements for the degree of
+Doctor of Philosophy
+Electrical Engineering
+Shu Zhang
+December 2015
+Dissertation Committee:
+Dr. Amit K. Roy-Chowdhury, Chairperson
+Dr. Qi Zhu
+Dr. Ertem Tuncel"

+253cedd3022e25a79bcaffe74e3405db65c6d2ce,Deep Hashing for Scalable Image Search,"Deep Hashing for Scalable Image Search
+Jiwen Lu, Senior Member, IEEE, Venice Erin Liong, and Jie Zhou, Senior Member, IEEE"

+25f1a5121cb7fb67749a6f6dbc27fd48f177d5fb,Context-Aware Hypergraph Modeling for Re-identification and Summarization,"Context-Aware Hypergraph Modeling for
+Re-identification and Summarization
+Santhoshkumar Sunderrajan, Member, IEEE, and B. S. Manjunath, Fellow, IEEE"

+25f1f195c0efd84c221b62d1256a8625cb4b450c,Experiments with Facial Expression Recognition using Spatiotemporal Local Binary Patterns,"-4244-1017-7/07/$25.00 ©2007 IEEE
+ICME 2007"

+25885e9292957feb89dcb4a30e77218ffe7b9868,Analyzing the Affect of a Group of People Using Multi-modal Framework,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2016
+Analyzing the Affect of a Group of People Using
+Multi-modal Framework
+Xiaohua Huang, Abhinav Dhall, Xin Liu, Guoying Zhao, Jingang Shi, Roland Goecke and Matti Pietik¨ainen"

+259706f1fd85e2e900e757d2656ca289363e74aa,Improving People Search Using Query Expansions: How Friends Help To Find People,"Improving People Search Using Query Expansions
+How Friends Help To Find People
+Thomas Mensink and Jakob Verbeek
+LEAR - INRIA Rhˆone Alpes - Grenoble, France"

+258a2dad71cb47c71f408fa0611a4864532f5eba,Discriminative Optimization of Local Features for Face Recognition,"Discriminative Optimization
+of Local Features for Face Recognition
+H O S S E I N   A Z I Z P O U R
+Master of Science Thesis
+Stockholm, Sweden 2011"

+25127c2d9f14d36f03d200a65de8446f6a0e3bd6,Evaluating the Performance of Deep Supervised Auto Encoder in Single Sample Face Recognition Problem Using Kullback-leibler Divergence Sparsity Regularizer,"Journal of Theoretical and Applied Information Technology
+20th May 2016. Vol.87. No.2
+© 2005 - 2016 JATIT & LLS. All rights reserved.
+ISSN: 1992-8645                                                       www.jatit.org                                                          E-ISSN: 1817-3195
+EVALUATING THE PERFORMANCE OF DEEP SUPERVISED
+AUTO ENCODER IN SINGLE SAMPLE FACE RECOGNITION
+PROBLEM USING KULLBACK-LEIBLER DIVERGENCE
+SPARSITY REGULARIZER
+OTNIEL Y. VIKTORISA, 2ITO WASITO, 2ARIDA F. SYAFIANDINI
+Faculty of Computer  of Computer Science, Universitas Indonesia, Kampus UI Depok, Indonesia
+E-mail:  ,"