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Diffstat (limited to 'site/datasets/citations/expw.json')
| -rw-r--r-- | site/datasets/citations/expw.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/citations/expw.json b/site/datasets/citations/expw.json index d7f033b6..99dc4e88 100644 --- a/site/datasets/citations/expw.json +++ b/site/datasets/citations/expw.json @@ -1 +1 @@ -{"id": "22f656d0f8426c84a33a267977f511f127bfd7f3", "paper": {"paperId": "22f656d0f8426c84a33a267977f511f127bfd7f3", "key": "expw", "title": "From Facial Expression Recognition to Interpersonal Relation Prediction", "journal": "International Journal of Computer Vision", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "https://arxiv.org/pdf/1609.06426.pdf", "report_link": "papers/22f656d0f8426c84a33a267977f511f127bfd7f3.html", "citation_count": 9, "citations_geocoded": 8, "citations_unknown": 1, "citations_empty": 0, "citations_pdf": 5, "citations_doi": 4, "name": "ExpW"}, "address": null, "citations": [["Multiple-Human Parsing in the Wild", "", "Beijing Jiaotong University", "Beijing Jiaotong University", "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "39.94976005", "116.33629046", "edu", "", "2017"], ["Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "", "National University of Defense Technology, China", "National University of Defence Technology, Changsha 410000, China", "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "28.22902090", "112.99483204", "edu", "", "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", "", "2018"], ["Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "National University of Singapore, Singapore, Singapore", "National University of Singapore", "National University of Singapore", "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "1.29620180", "103.77689944", "edu", "", "2018"], ["Deep Facial Expression Recognition: A Survey", "", "Member", "Member", "1322 N Inglewood Ave, Coffeyville, KS 67337, USA", "37.05826350", "-95.67914910", "edu", "", "2018"], ["MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images", "", "Middle East Technical University", "Middle East Technical University", "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "39.87549675", "32.78553506", "edu", "", "2017"], ["Group emotion recognition with individual facial emotion CNNs and global image based CNNs", "SIAT at Chinese Academy of Sciences, China", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2017"], ["Multi-Human Parsing Machines", "National University of Singapore, Singapore, Singapore", "National University of Singapore", "National University of Singapore", "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "1.29620180", "103.77689944", "edu", "", "2018"]]}
\ No newline at end of file +{"id": "22f656d0f8426c84a33a267977f511f127bfd7f3", "paper": {"paperId": "22f656d0f8426c84a33a267977f511f127bfd7f3", "key": "expw", "title": "From Facial Expression Recognition to Interpersonal Relation Prediction", "journal": "International Journal of Computer Vision", "address": "", "country": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "https://arxiv.org/pdf/1609.06426.pdf", "report_link": "papers/22f656d0f8426c84a33a267977f511f127bfd7f3.html", "citation_count": 9, "citations_geocoded": 7, "citations_unknown": 2, "citations_empty": 0, "citations_pdf": 5, "citations_doi": 4, "name": "ExpW"}, "address": null, "citations": [["Multiple-Human Parsing in the Wild", "", "Beijing Jiaotong University", "Beijing Jiaotong University", "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "39.94976005", "116.33629046", "edu", "", "China", "2017"], ["Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "", "National University of Defense Technology, China", "National University of Defence Technology, Changsha 410000, China", "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "28.22902090", "112.99483204", "mil", "", "China", "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"], ["Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "National University of Singapore, Singapore, Singapore", "National University of Singapore", "National University of Singapore", "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "1.29620180", "103.77689944", "edu", "", "Singapore", "2018"], ["MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images", "", "Middle East Technical University", "Middle East Technical University", "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "39.87549675", "32.78553506", "edu", "", "Turkey", "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"], ["Multi-Human Parsing Machines", "National University of Singapore, Singapore, Singapore", "National University of Singapore", "National University of Singapore", "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "1.29620180", "103.77689944", "edu", "", "Singapore", "2018"]]}
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