{"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": 3, "citations_unknown": 6, "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"], ["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"]]}