diff options
| author | Jules Laplace <julescarbon@gmail.com> | 2019-02-10 21:53:27 +0100 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2019-02-10 21:53:27 +0100 |
| commit | 439d0d5aca826917da5467750fa0f3b9e6ce7402 (patch) | |
| tree | 3aa0061fe18c5695814d3ed220e4ff78ac131699 /site/datasets/citations/expw.json | |
| parent | a8cd75d12efa52cd83025c4b250d2a7703b7661b (diff) | |
updating citations
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 d40093c9..c749d00d 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": "http://arxiv.org/abs/1609.06426", "report_link": "papers/22f656d0f8426c84a33a267977f511f127bfd7f3.html", "citation_count": 9, "citations_geocoded": 4, "citations_unknown": 5, "citations_empty": 0, "citations_pdf": 5, "citations_doi": 1, "name": "ExpW"}, "address": null, "citations": [["Multiple-Human Parsing in the Wild", "National University of 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", ""], ["Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "Qihoo 360 AI Institute", "National University of Singapore", "National University of Singapore", "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "1.29620180", "103.77689944", "edu", ""], ["MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images", "Middle East Technical University", "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", ""], ["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", ""]]}
\ 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": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "http://arxiv.org/abs/1609.06426", "report_link": "papers/22f656d0f8426c84a33a267977f511f127bfd7f3.html", "citation_count": 9, "citations_geocoded": 4, "citations_unknown": 5, "citations_empty": 0, "citations_pdf": 5, "citations_doi": 4, "name": "ExpW"}, "address": null, "citations": [["Multiple-Human Parsing in the Wild", "National University of 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", "", "2017"], ["Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "Qihoo 360 AI Institute", "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"], ["MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images", "Middle East Technical University", "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", "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]]}
\ No newline at end of file |