summaryrefslogtreecommitdiff
path: root/site/datasets/citations/ferplus.json
diff options
context:
space:
mode:
authorjules@lens <julescarbon@gmail.com>2019-03-04 23:05:37 +0100
committerjules@lens <julescarbon@gmail.com>2019-03-04 23:05:37 +0100
commit97b71242238321842d77630b6448b6c48eadf932 (patch)
tree1b5a5104eb8704c3b5a1dcf384a032d728b4ba44 /site/datasets/citations/ferplus.json
parent754f147d559e44c9830512b7b2a3790577fe7b38 (diff)
regenerate data
Diffstat (limited to 'site/datasets/citations/ferplus.json')
-rw-r--r--site/datasets/citations/ferplus.json2
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/citations/ferplus.json b/site/datasets/citations/ferplus.json
index 1a84b3c2..1e2dc1a5 100644
--- a/site/datasets/citations/ferplus.json
+++ b/site/datasets/citations/ferplus.json
@@ -1 +1 @@
-{"id": "298cbc3dfbbb3a20af4eed97906650a4ea1c29e0", "paper": {"paperId": "298cbc3dfbbb3a20af4eed97906650a4ea1c29e0", "key": "ferplus", "title": "Training deep networks for facial expression recognition with crowd-sourced label distribution", "journal": "Unknown", "address": "", "country": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "https://arxiv.org/pdf/1608.01041.pdf", "report_link": "papers/298cbc3dfbbb3a20af4eed97906650a4ea1c29e0.html", "citation_count": 29, "citations_geocoded": 18, "citations_unknown": 11, "citations_empty": 0, "citations_pdf": 15, "citations_doi": 14, "name": "FER+"}, "address": null, "citations": [["Emotion recognition with multimodal features and temporal models", "Renmin University of China, China", "IBM Research Lab, China", "IBM Research Lab, China", "650 Harry Rd, San Jose, CA 95120, USA", "37.21105300", "-121.80694870", "company", "", "United States", "2017"], ["Eyemotion: Classifying facial expressions in VR using eye-tracking cameras", "", "Georgia Institute of Technology", "Georgia Institute of Technology", "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "33.77603300", "-84.39884086", "edu", "", "United States", "2017"], ["Conditional Expression Synthesis with Face Parsing Transformation", "Institute of Automation, Chinese Academy of Sciences, Beijing, 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", "", "China", "2018"], ["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", "", "United Kingdom", "2018"], ["Cascade Attention Networks For Group Emotion Recognition with Face, Body and Image Cues", "Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China", "Shenzhen Institutes of Advanced Technology", "Shenzhen Institutes of Advanced Technology", "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "22.59805605", "113.98533784", "edu", "", "China", "2018"], ["Uncertainty Flow Facilitates Zero-Shot Multi-Label Learning in Affective Facial Analysis", "", "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", "", "Japan", "2018"], ["Region Based Robust Facial Expression Analysis", "National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "39.90828040", "116.24585270", "edu", "", "China", "2018"], ["Regularizing the loss layer of CNNs for facial expression recognition using crowdsourced labels", "School of Information Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand", "University of Toronto", "University of Toronto", "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "43.66333345", "-79.39769975", "edu", "", "Canada", "2017"], ["Adaptive Deep Metric Learning for Identity-Aware Facial Expression Recognition", "", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "39.90828040", "116.24585270", "edu", "", "China", "2017"], ["Addressing bias in machine learning algorithms: A pilot study on emotion recognition for intelligent systems", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "United States", "2017"], ["Social signal extraction from egocentric photo-streams", "University of Barcelona, Spain", "University of Barcelona", "University of Barcelona", "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "41.38689130", "2.16352385", "edu", "", "Spain", "2017"], ["Group emotion recognition with individual facial emotion CNNs and global image based CNNs", "SIAT at Chinese Academy of Sciences, China", "SIAT at Chinese Academy of Sciences, China", "SIAT at Chinese Academy of Sciences, China", "China", "35.86166000", "104.19539700", "edu", "", "China", "2017"], ["Investigation of Multimodal Features, Classifiers and Fusion Methods 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", "", "China", "2018"], ["Combining convolutional neural networks for emotion recognition", "Department of Computer Science, Princeton University, Princeton, NJ", "Princeton University", "Princeton University", "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "40.34829285", "-74.66308325", "edu", "", "United States", "2017"], ["Towards social pattern characterization in egocentric photo-streams", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "United States", "2017"], ["Emotion recognition on static images using deep transfer learning and ensembling", "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, \u0130stanbul Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "Istanbul Technical University", "Istanbul Technical University", "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "41.10427915", "29.02231159", "edu", "", "Turkey", "2018"], ["Social Style Characterization from Egocentric Photo-streams", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "United States", "2017"], ["Emotion recognition in the wild from videos using images", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "United States", "2016"]]} \ No newline at end of file
+{"id": "298cbc3dfbbb3a20af4eed97906650a4ea1c29e0", "paper": {"paperId": "298cbc3dfbbb3a20af4eed97906650a4ea1c29e0", "key": "ferplus", "title": "Training deep networks for facial expression recognition with crowd-sourced label distribution", "journal": "Unknown", "address": "", "country": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "https://arxiv.org/pdf/1608.01041.pdf", "report_link": "papers/298cbc3dfbbb3a20af4eed97906650a4ea1c29e0.html", "citation_count": 29, "citations_geocoded": 20, "citations_unknown": 9, "citations_empty": 0, "citations_pdf": 15, "citations_doi": 14, "name": "FER+"}, "address": null, "citations": [["Emotion recognition with multimodal features and temporal models", "Renmin University of China, China", "Renmin University of China", "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "59 Zhongguancun St, Haidian Qu, China, 100872", "39.96960620", "116.31881450", "edu", "", "China", "2017"], ["Eyemotion: Classifying facial expressions in VR using eye-tracking cameras", "", "Georgia Institute of Technology", "Georgia Institute of Technology", "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "33.77603300", "-84.39884086", "edu", "", "United States", "2017"], ["Conditional Expression Synthesis with Face Parsing Transformation", "Institute of Automation, Chinese Academy of Sciences, Beijing, 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", "", "China", "2018"], ["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", "", "United Kingdom", "2018"], ["Cascade Attention Networks For Group Emotion Recognition with Face, Body and Image Cues", "Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China", "Shenzhen Institutes of Advanced Technology", "Shenzhen Institutes of Advanced Technology", "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "22.59805605", "113.98533784", "edu", "", "China", "2018"], ["Uncertainty Flow Facilitates Zero-Shot Multi-Label Learning in Affective Facial Analysis", "", "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", "", "Japan", "2018"], ["Region Based Robust Facial Expression Analysis", "National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "39.90828040", "116.24585270", "edu", "", "China", "2018"], ["Regularizing the loss layer of CNNs for facial expression recognition using crowdsourced labels", "School of Information Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand", "University of Toronto", "University of Toronto", "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "43.66333345", "-79.39769975", "edu", "", "Canada", "2017"], ["Adaptive Deep Metric Learning for Identity-Aware Facial Expression Recognition", "", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "39.90828040", "116.24585270", "edu", "", "China", "2017"], ["Addressing bias in machine learning algorithms: A pilot study on emotion recognition for intelligent systems", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "United States", "2017"], ["Multi-modal Multi-cultural Dimensional Continues Emotion Recognition in Dyadic Interactions", "Renmin University of China, Beijing, China", "Renmin University of China", "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "59 Zhongguancun St, Haidian Qu, China, 100872", "39.96960620", "116.31881450", "edu", "", "China", "2018"], ["Social signal extraction from egocentric photo-streams", "University of Barcelona, Spain", "University of Barcelona", "University of Barcelona", "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "41.38689130", "2.16352385", "edu", "", "Spain", "2017"], ["Multimodal Multi-task Learning for Dimensional and Continuous Emotion Recognition", "Renmin University of China, Beijing, China", "Renmin University of China", "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "59 Zhongguancun St, Haidian Qu, China, 100872", "39.96960620", "116.31881450", "edu", "", "China", "2017"], ["Group emotion recognition with individual facial emotion CNNs and global image based CNNs", "SIAT at Chinese Academy of Sciences, China", "SIAT at Chinese Academy of Sciences, China", "SIAT at Chinese Academy of Sciences, China", "China", "35.86166000", "104.19539700", "edu", "", "China", "2017"], ["Investigation of Multimodal Features, Classifiers and Fusion Methods 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", "", "China", "2018"], ["Combining convolutional neural networks for emotion recognition", "Department of Computer Science, Princeton University, Princeton, NJ", "Princeton University", "Princeton University", "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "40.34829285", "-74.66308325", "edu", "", "United States", "2017"], ["Towards social pattern characterization in egocentric photo-streams", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "United States", "2017"], ["Emotion recognition on static images using deep transfer learning and ensembling", "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, \u0130stanbul Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "Istanbul Technical University", "Istanbul Technical University", "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "41.10427915", "29.02231159", "edu", "", "Turkey", "2018"], ["Social Style Characterization from Egocentric Photo-streams", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "United States", "2017"], ["Emotion recognition in the wild from videos using images", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "United States", "2016"]]} \ No newline at end of file