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diff --git a/site/datasets/citations/afew_va.json b/site/datasets/citations/afew_va.json index 5b712731..05c15b83 100644 --- a/site/datasets/citations/afew_va.json +++ b/site/datasets/citations/afew_va.json @@ -1 +1 @@ -{"id": "b1f4423c227fa37b9680787be38857069247a307", "paper": {"paperId": "b1f4423c227fa37b9680787be38857069247a307", "key": "afew_va", "title": "Collecting Large, Richly Annotated Facial-Expression Databases from Movies", "journal": "IEEE MultiMedia", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6200254", "report_link": "papers/b1f4423c227fa37b9680787be38857069247a307.html", "citation_count": 182, "citations_geocoded": 38, "citations_unknown": 144, "citations_empty": 8, "citations_pdf": 83, "citations_doi": 99, "name": "AFEW-VA"}, "address": null, "citations": [["Emotion recognition in the wild from videos using images", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One 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expression intensity estimation in videos via Gaussian Processes", "", "Australian National University", "Australian National University", "Canberra ACT 0200, Australia", "-35.27769990", "149.11852700", "edu", "", 2012], ["Automated Recognition of Paralinguistic Signals in Spoken Dialogue Systems: Ways of Improvement", "", "Ulm University", "Ulm University", "HNU, John-F.-Kennedy-Stra\u00dfe, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland", "48.38044335", "10.01010115", "edu", "", 2015], ["The development of the Athens Emotional States Inventory (AESI): collection, validation and automatic processing of emotionally loaded sentences.", "", "National Technical University of Athens", "National Technical University of Athens", "\u0395\u03b8\u03bd\u03b9\u03ba\u03cc \u039c\u03b5\u03c4\u03c3\u03cc\u03b2\u03b9\u03bf \u03a0\u03bf\u03bb\u03c5\u03c4\u03b5\u03c7\u03bd\u03b5\u03af\u03bf, \u03a3\u03c4\u03bf\u03c5\u03c1\u03bd\u03ac\u03c1\u03b7, 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"Canberra ACT 0200, Australia", "-35.27769990", "149.11852700", "edu", "", "2018"], ["Spatiotemporal Networks for Video Emotion Recognition", "", "Tsinghua University", "Tsinghua University", "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "40.00229045", "116.32098908", "edu", "", 2017], ["Partial least squares regression on grassmannian manifold for emotion recognition", "", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", 2013], ["Emotion recognition in the wild using deep neural networks and Bayesian classifiers", "", "Plymouth University", "Plymouth University", "Plymouth University, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK", "50.37552690", 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Marmara B\u00f6lgesi, 34953, T\u00fcrkiye", "40.89271590", "29.37863323", "edu", "", "2016"], ["Emotion Recognition In The Wild Challenge 2014: Baseline, Data and Protocol", "University of Canberra, Canberra, Australia", "University of Canberra", "University of Canberra", "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "-35.23656905", "149.08446994", "edu", "", "2014"], ["Hierarchical committee of deep convolutional neural networks for robust facial expression recognition", "Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea", "Korea Advanced Institute of Science and Technology", "Korea Advanced Institute of Science and Technology", "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "36.36971910", "127.36253700", "edu", "", "2015"], ["Variable-state latent conditional random fields for facial expression recognition and action unit detection", "", "Rutgers University", "Rutgers University", "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "40.47913175", "-74.43168868", "edu", "", "2015"], ["Temporal Multimodal Fusion for Video Emotion Classification in the Wild", "", "Orange", "Orange Labs", "78 Rue Olivier de Serres, 75015 Paris, France", "48.83321220", "2.29421550", "company", "78 Rue Olivier de Serres, Paris, 75015", "2017"], ["Emotion recognition in the wild", "University of Trento, Trento, Italy", "University of Trento", "University of Trento", "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "46.06588360", "11.11598940", "edu", "", "2016"], ["Automatic Happiness Strength Analysis of a Group of People using Facial Expressions", "", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "2016"], ["Emotion recognition in the wild via sparse transductive transfer linear discriminant analysis", "Key Laboratory of Child Development and Learning Science of Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, People\u2019s Republic of China", "Southeast University", "Southeast University", "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "32.05752790", "118.78682252", "edu", "", "2015"], ["Context Based Facial Expression Analysis in the Wild", "", "Australian National University", "Australian National University", "Canberra ACT 0200, Australia", "-35.27769990", "149.11852700", "edu", "", "2013"], ["Affect Recognition in a Realistic Movie Dataset Using a Hierarchical Approach", "MICC, University of Florence, Florence, Italy", "University of Florence", "University of Florence", "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "43.77764260", "11.25976500", "edu", "", "2015"], ["Novel directional patterns and a Generalized Supervised Dimension Reduction System (GSDRS) for facial emotion recognition", "CSE Department, Regional Campus, Anna University, Tirunelveli, India", "Anna University", "Anna University", "Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India", "13.01058380", "80.23537360", "edu", "", "2017"], ["Video-based Emotion Recognition Using Deeply-Supervised Neural Networks", "The University of Hong Kong, Hongkong, China", "University of Hong Kong", "University of Hong Kong", "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "22.20814690", "114.25964115", "edu", "", "2018"], ["Learning deep facial expression features from image and optical flow sequences using 3D CNN", "School of Electronic and Information Engineering, Inner Mongolia University of Science and Technology, Baotou, People\u2019s Republic of China", "Beihang University", "Beihang University", "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "39.98083330", "116.34101249", "edu", "", "2018"], ["Impact Factor : 4 . 116 IC TM Value : 3 . 00 CODEN : IJESS", "", "Annamalai University", "Annamalai University", "1240 Ellesmere Rd, Scarborough, ON M1P 2X4, Canada", "43.76915900", "-79.26714450", "edu", "", "2017"], ["An Occam's Razor View on Learning Audiovisual Emotion Recognition with Small Training Sets", "", "Orange", "Orange Labs", "78 Rue Olivier de Serres, 75015 Paris, France", "48.83321220", "2.29421550", "company", "78 Rue Olivier de Serres, Paris, 75015", "2018"], ["Facial expression recognition with multithreaded cascade of rotation-invariant HOG", "", "Kobe University", "Kobe University", "\u795e\u6238\u5927\u5b66, \u7058\u4e09\u7530\u7dda, \u7058\u533a, \u795e\u6238\u5e02, \u5175\u5eab\u770c, \u8fd1\u757f\u5730\u65b9, 657-00027, \u65e5\u672c", "34.72757140", "135.23710000", "edu", "", "2015"], ["Audio-visual emotion recognition using deep transfer learning and multiple temporal models", "Institute for Infocomm Research at A*STAR, Singapore", "Central China Normal University", "National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China", "Wuhan, Hubei, China", "30.59284900", "114.30553900", "edu", "", "2017"], ["A Novel Maximum Entropy Markov Model for Human Facial Expression Recognition", "", "Russia", "Russia", "Russia", "61.52401000", "105.31875600", "edu", "", "2016"], ["Deep Sentiment Features of Context and Faces for Affective Video Analysis", "Universit\u00e0 degli Studi di Firenze, Firenze, Italy", "Universit\u00e0 degli Studi di Firenze, Firenze, Italy", "Universit\u00e0 degli Studi di Firenze, Firenze, Italy", "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "43.77764260", "11.25976500", "edu", "", "2017"], ["Fast-PADMA: Rapidly Adapting Facial Affect Model From Similar Individuals", "School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL, USA", "University of Central Florida", "University of Central Florida", "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "28.59899755", "-81.19712501", "edu", "", "2018"], ["Automatic Group Happiness Intensity Analysis", "University of Canberra, Australia", "University of Canberra", "University of Canberra", "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "-35.23656905", "149.08446994", "edu", "", "2015"], ["Revisiting the EmotiW challenge: how wild is it really?", "Institute of Neural Information Processing, Ulm University, Ulm, Germany", "Ulm University", "Ulm University", "HNU, John-F.-Kennedy-Stra\u00dfe, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland", "48.38044335", "10.01010115", "edu", "", "2015"], ["Learning Expressionlets on Spatio-temporal Manifold for Dynamic Facial Expression Recognition", "", "University of Oulu", "University of Oulu", "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "65.05921570", "25.46632601", "edu", "", "2014"], ["Rotation-reversal invariant HOG cascade for facial expression recognition", "The Organization of Advanced Science and Technology, Kobe University, Kobe, Japan", "Kobe University", "Kobe University", "\u795e\u6238\u5927\u5b66, \u7058\u4e09\u7530\u7dda, \u7058\u533a, \u795e\u6238\u5e02, \u5175\u5eab\u770c, \u8fd1\u757f\u5730\u65b9, 657-00027, 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"Bah\u00e7e\u015fehir University", "Bahcesehir University", "BAU Galata, 24, Kemeralt\u0131 Caddesi, M\u00fceyyedzade, Beyo\u011flu, \u0130stanbul, Marmara B\u00f6lgesi, 34425, T\u00fcrkiye", "41.02451875", "28.97697953", "edu", "", "2014"], ["Group expression intensity estimation in videos via Gaussian Processes", "", "Australian National University", "Australian National University", "Canberra ACT 0200, Australia", "-35.27769990", "149.11852700", "edu", "", "2012"], ["Automated Recognition of Paralinguistic Signals in Spoken Dialogue Systems : Ways of Improvement", "", "Russia", "Russia", "Russia", "61.52401000", "105.31875600", "edu", "", "2015"], ["The development of the Athens Emotional States Inventory (AESI): collection, validation and automatic processing of emotionally loaded sentences.", "", "National Technical University of Athens", "National Technical University of Athens", "\u0395\u03b8\u03bd\u03b9\u03ba\u03cc \u039c\u03b5\u03c4\u03c3\u03cc\u03b2\u03b9\u03bf 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China", "Southeast University", "Southeast University", "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "32.05752790", "118.78682252", "edu", "", "2017"], ["Emotion Recognition in the Wild with Feature Fusion and Multiple Kernel Learning", "The Hong Kong Polytechnic University, Hong Kong, China", "Hong Kong Polytechnic University", "Hong Kong Polytechnic University", "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "22.30457200", "114.17976285", "edu", "", "2014"], ["Exploiting Facial Landmarks for Emotion Recognition in the Wild.", "", "University of York", "University of York", "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "53.94540365", "-1.03138878", "edu", "", "2016"], ["MEC 2016: The Multimodal Emotion Recognition Challenge of CCPR 2016", "", "Tsinghua University", "Tsinghua University", "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "40.00229045", "116.32098908", "edu", "", "2016"], ["Combining feature-level and decision-level fusion in a hierarchical classifier for emotion recognition in the wild", "College of Information Science and Technology, Beijing Normal University, Beijing, China", "Beijing Normal University", "Beijing Normal University", "\u5317\u4eac\u5e08\u8303\u5927\u5b66, 19, \u65b0\u8857\u53e3\u5916\u5927\u8857, \u897f\u57ce\u533a, 100875, \u4e2d\u56fd", "39.96014155", "116.35970438", "edu", "", "2015"], ["Fusing Aligned and Non-aligned Face Information for Automatic Affect Recognition in the Wild: A Deep Learning Approach", "", "Korea Advanced Institute of Science and Technology", "Korea Advanced Institute of Science and Technology", "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "36.36971910", "127.36253700", "edu", "", "2016"], ["Learning Grimaces by Watching TV", "", "Oxford, UK", "Oxford, UK", "Oxford, UK", "51.75202090", "-1.25772630", "edu", "", "2016"], ["Multi-modal emotion recognition using semi-supervised learning and multiple neural networks in the wild", "Inha University, South Korea", "Inha University", "Intelligent Technology Laboratory, Inha University, Incheon, Korea", "100 Inha-ro, Yonghyeon 1(il).4(sa)-dong, Nam-gu, Incheon, South Korea", "37.45002210", "126.65348800", "edu", "", "2017"], ["Group-level emotion recognition using deep models on image scene, faces, and skeletons", "University of Delaware, USA", "University of Delaware", "University of Delaware", "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "39.68103280", "-75.75401840", "edu", "", "2017"], ["Emotional Recognition System by Facial Land Marking Analysis", "University of Petroleum and Energy Studies, Dehradun, India", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "2018"], ["Emotion Recognition in Real-world Conditions with Acoustic and Visual Features", "Ulm University, Ulm, Germany", "Ulm University", "Ulm University", "HNU, John-F.-Kennedy-Stra\u00dfe, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland", "48.38044335", "10.01010115", "edu", "", "2014"], ["Multimodal 2D+3D Facial Expression Recognition With Deep Fusion Convolutional Neural Network", "LIRIS UMR 5205, Department of Mathematics and Informatics, Ecole Centrale de Lyon, Lyon, France", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2017"], ["Learning Transferable Features for Speech Emotion Recognition", "UFMG, Belo Horizonte, Brazil", "UFMG, Belo Horizonte, Brazil", "UFMG, Belo Horizonte, Brazil", "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "-19.86908780", "-43.96638410", "edu", "", "2017"], ["Combining Multimodal Features within a Fusion Network for Emotion Recognition in the Wild", "Beijing Normal University, Beijing, China", "Beijing Normal University", "Beijing Normal University", "\u5317\u4eac\u5e08\u8303\u5927\u5b66, 19, \u65b0\u8857\u53e3\u5916\u5927\u8857, \u897f\u57ce\u533a, 100875, \u4e2d\u56fd", "39.96014155", "116.35970438", "edu", "", "2015"], ["Sparse Coding Trees with application to emotion classification", "", "Harvard University", "Harvard University", "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "42.36782045", "-71.12666653", "edu", "", "2015"], ["Emotion recognition with multimodal features and temporal models", "Renmin University of China, China", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2017"], ["Emotion recognition in the wild challenge 2016", "", "Australian National University", "Australian National University", "Canberra ACT 0200, Australia", "-35.27769990", "149.11852700", "edu", "", "2013"], ["Audio and face video emotion recognition in the wild using deep neural networks and small datasets", "University of British Columbia, Canada", "University of British Columbia", "University of British Columbia", "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "49.25839375", "-123.24658161", "edu", "", "2016"], ["Emotion recognition using facial and audio features", "The LNM Institute of Information Technology, Jaipur, India", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "2013"], ["Combining Multiple Kernel Methods on Riemannian Manifold for Emotion Recognition in the Wild", "", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, 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University", "Peking University", "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "39.99223790", "116.30393816", "edu", "", "2016"], ["Improved Spatiotemporal Local Monogenic Binary Pattern for Emotion Recognition in The Wild", "", "University of Oulu", "University of Oulu", "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "65.05921570", "25.46632601", "edu", "", "2014"], ["Survey on audiovisual emotion recognition : databases , features , and data fusion strategies", "", "Institute of Information Science", "Institute of Information Science", "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "25.04107280", "121.61475620", "edu", "", "2014"], ["Deep Facial Expression Recognition: A Survey", "", "Member", "Member", "1322 N Inglewood Ave, Coffeyville, KS 67337, USA", "37.05826350", "-95.67914910", "edu", "", "2018"], ["From individual to group-level emotion recognition: EmotiW 5.0", "University of Waterloo, Canada", "University of Waterloo", "University of Waterloo", "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "43.47061295", "-80.54724732", "edu", "", "2017"], ["A discriminative parts based model approach for fiducial points free and shape constrained head pose normalisation in the wild", "iHCC, Australian National University, Australia", "Australian National University", "Australian National University", "Canberra ACT 0200, Australia", "-35.27769990", "149.11852700", "edu", "", "2014"], ["Emotion Recognition in Speech using Cross-Modal Transfer in the Wild", "", "University of Oxford", "University of Oxford", "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "51.75345380", "-1.25400997", "edu", "", "2018"], ["Expression Recognition with Ri-HOG Cascade", "", "Kobe University", "Kobe University", "\u795e\u6238\u5927\u5b66, \u7058\u4e09\u7530\u7dda, \u7058\u533a, \u795e\u6238\u5e02, \u5175\u5eab\u770c, \u8fd1\u757f\u5730\u65b9, 657-00027, \u65e5\u672c", "34.72757140", "135.23710000", "edu", "", "2016"], ["The Indian Spontaneous Expression Database for Emotion Recognition", "", "Member", "Member", "1322 N Inglewood Ave, Coffeyville, KS 67337, USA", "37.05826350", "-95.67914910", "edu", "", "2017"], ["Computational Modeling of Human Multimodal Language : The MOSEI Dataset and Interpretable Dynamic Fusion", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", "", "2018"], ["From simulated speech to natural speech, what are the robust features for emotion recognition?", "National Laboratory of Pattern Recognition, (NLPR), Institute of Automation, CAS, Beijing, China", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2015"], ["CentralNet: a Multilayer Approach for Multimodal Fusion", "", "Orange", "Orange Labs", "78 Rue Olivier de Serres, 75015 Paris, France", "48.83321220", "2.29421550", "company", "78 Rue Olivier de Serres, Paris, 75015", "2018"], ["Emotion recognition in the wild challenge (EmotiW) challenge and workshop summary", "University of Canberra, Canberra, Australia", "University of Canberra", "University of Canberra", "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "-35.23656905", "149.08446994", "edu", "", "2013"], ["SensiTV: Smart EmotioNal System for Impaired People's TV", "University of Applied Sciences of Western Switzerland, Fribourg, Switzerland", "University of Applied Sciences of Western Switzerland", "University of Applied Sciences of Western Switzerland, Fribourg, Switzerland", "Bd de P\u00e9rolles 80, 1705 Fribourg, Switzerland", "46.79330680", "7.15905560", "edu", "", "2015"], ["Video modeling and learning on Riemannian manifold for emotion recognition in the wild", "Key Laboratory of Intelligent Processing, Institute of Computing Technology, CAS, Chinese Academy of Sciences (CAS), Beijing, People\u2019s Republic of China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "2015"], ["AMHUSE: a multimodal dataset for HUmour SEnsing", "University of Tours, France", "University of Milan", "University of Milan", "Milan Avenue, Ray Mar Terrace, University City, St. Louis County, Missouri, 63130, USA", "38.67966620", "-90.32628160", "edu", "", "2017"], ["Why is facial expression analysis in the wild challenging?", "", "Karlsruhe Institute of Technology", "Karlsruhe Institute of Technology", "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "49.10184375", "8.43312560", "edu", "", "2013"], ["Double Complete D-LBP with Extreme Learning Machine Auto-Encoder and Cascade Forest for Facial Expression Analysis", "School of Artificial Intelligence, Xidian University, China", "Xidian University", "Xidian University", "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "34.12358250", "108.83546000", "edu", "", "2018"], ["Action unit selective feature maps in deep networks for facial expression recognition", "Division of Biomedical Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong SAR", "Hong Kong University of Science and Technology", "Hong Kong University of Science and Technology", "\u9999\u6e2f\u79d1\u6280\u5927\u5b78 Hong Kong University of Science and Technology, \u5927\u5b78\u9053 University Road, \u5927\u57d4\u4ed4 Tai Po Tsai, \u5927\u57d4\u4ed4\u6751 Tai Po Tsai Village, \u65b0\u754c New Territories, HK, DD253 1209, \u4e2d\u56fd", "22.33863040", "114.26203370", "edu", "", "2017"], ["Distribution-based iterative pairwise classification of emotions in the wild using LGBP-TOP", "", "University of Nottingham", "University of Nottingham", "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "52.93874280", "-1.20029569", "edu", "", "2013"], ["EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction", "", "Australian National University", "Australian National University", "Canberra ACT 0200, Australia", "-35.27769990", "149.11852700", "edu", "", "2018"], ["Spatiotemporal Networks for Video Emotion Recognition", "", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2017"], ["Contrasting and Combining Least Squares Based Learners for Emotion Recognition in the Wild", "Bo\u011fazi\u00e7i University, Bebek, Istanbul, Turkey", "Bo\u011fazi\u00e7i University", "Bo\u011fazi\u00e7i University, Bebek, Istanbul, Turkey", "Bebek Mh., 34342 Be\u015fikta\u015f/\u0130stanbul, Turkey", "41.08475710", "29.05103990", "edu", "", "2015"], ["The more the merrier: Analysing the affect of a group of people in images", "University of Trento, Italy", "University of Trento", "University of Trento", "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "46.06588360", "11.11598940", "edu", "", "2015"], ["Recognizing emotions in spoken dialogue with acoustic and lexical cues", "University of Edinburgh, UK", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", "", "2017"], ["Emotion Recognition in the Wild: Incorporating Voice and Lip Activity in Multimodal Decision-Level Fusion", "University of Geneva, Geneva, Switzerland", "University of Geneva", "University of Geneva", "University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA", "42.57054745", "-88.55578627", "edu", "", "2014"], ["Partial least squares regression on grassmannian manifold for emotion recognition", "", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "2013"], ["Emotion recognition with boosted tree classifiers", "University of York, York, United Kingdom", "University of York", "University of York", "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "53.94540365", "-1.03138878", "edu", "", "2013"], ["A facial expression recognition method based on ensemble of 3D convolutional neural networks", "Nanjing University of Science and Technology, Nanjing, China", "Nanjing University", "Nanjing University", "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "32.05659570", "118.77408833", "edu", "", "2017"], ["Emotion recognition in the wild using deep neural networks and Bayesian classifiers", "", "Plymouth University", "Plymouth University", "Plymouth University, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK", "50.37552690", "-4.13937687", "edu", "", "2017"]]}
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