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Diffstat (limited to 'site/datasets/citations/ferplus.json')
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1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/citations/ferplus.json b/site/datasets/citations/ferplus.json index 08d4fdc8..aa9d56c1 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": "", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "http://arxiv.org/pdf/1608.01041v1.pdf", "report_link": "papers/298cbc3dfbbb3a20af4eed97906650a4ea1c29e0.html", "citation_count": 29, "citations_geocoded": 10, "citations_unknown": 19, "citations_empty": 0, "citations_pdf": 15, "citations_doi": 12, "name": "FER+"}, "address": null, "citations": [["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", "", 2017], ["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"], ["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", "", "2018"], ["Adaptive Deep Metric Learning for Identity-Aware Facial Expression Recognition", "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", "", 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", "", 2017], ["Group emotion recognition with individual facial emotion CNNs and global image based CNNs", "SIAT at Chinese Academy of Sciences, China", "National Taiwan University", "National Taiwan University", "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "25.01682835", "121.53846924", "edu", "", 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", "", "2018"], ["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", "", "2017"], ["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", "", "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", "", 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": "", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "http://arxiv.org/pdf/1608.01041v1.pdf", "report_link": "papers/298cbc3dfbbb3a20af4eed97906650a4ea1c29e0.html", "citation_count": 29, "citations_geocoded": 9, "citations_unknown": 20, "citations_empty": 0, "citations_pdf": 15, "citations_doi": 14, "name": "FER+"}, "address": null, "citations": [["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", "", 2017], ["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"], ["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", "", "2018"], ["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", "", 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", "", 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", "", "2018"], ["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", "", "2017"], ["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", "", "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", "", 2016]]}
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