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diff --git a/site/datasets/citations/ferplus.json b/site/datasets/citations/ferplus.json new file mode 100644 index 00000000..6d695642 --- /dev/null +++ b/site/datasets/citations/ferplus.json @@ -0,0 +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": 3, "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", ""], ["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", ""], ["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", ""], ["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", ""], ["Addressing bias in machine learning algorithms: A pilot study on emotion recognition for intelligent systems", "", "Microsoft Research Asia", "Microsoft Live Labs Research, China", "Microsoft Research Asia", "35.86166000", "104.19539700", "company", ""], ["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", ""], ["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", ""], ["Towards social pattern characterization in egocentric photo-streams", "", "Microsoft Research Asia", "Microsoft Live Labs Research, China", "Microsoft Research Asia", "35.86166000", "104.19539700", "company", ""], ["Social Style Characterization from Egocentric Photo-streams", "", "Microsoft Research Asia", "Microsoft Live Labs Research, China", "Microsoft Research Asia", "35.86166000", "104.19539700", "company", ""], ["Emotion recognition in the wild from videos using images", "", "Microsoft Research Asia", "Microsoft Live Labs Research, China", "Microsoft Research Asia", "35.86166000", "104.19539700", "company", ""]]}
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