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authoradamhrv <adam@ahprojects.com>2019-05-02 19:57:35 +0200
committeradamhrv <adam@ahprojects.com>2019-05-02 19:57:35 +0200
commitbee8715f5cbdfe40211b1b45426590f235176926 (patch)
tree8c16c4e43f860b9e180af269d883ae900e0428cc /site/datasets/citations/mafa.json
parent98385977e777fa18019d975ad160cc5725e9001d (diff)
parent479a23a67a8f398a0ba554dd6f423660c3a037f0 (diff)
Merge branch 'master' of github.com:adamhrv/megapixels_dev
Diffstat (limited to 'site/datasets/citations/mafa.json')
-rw-r--r--site/datasets/citations/mafa.json2
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/citations/mafa.json b/site/datasets/citations/mafa.json
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+++ b/site/datasets/citations/mafa.json
@@ -1 +1 @@
-{"id": "9cc8cf0c7d7fa7607659921b6ff657e17e135ecc", "paper": {"paperId": "9cc8cf0c7d7fa7607659921b6ff657e17e135ecc", "key": "mafa", "title": "Detecting Masked Faces in the Wild with LLE-CNNs", "journal": "2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)", "address": "", "country": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "http://openaccess.thecvf.com/content_cvpr_2017/papers/Ge_Detecting_Masked_Faces_CVPR_2017_paper.pdf", "report_link": "papers/9cc8cf0c7d7fa7607659921b6ff657e17e135ecc.html", "citation_count": 6, "citations_geocoded": 4, "citations_unknown": 2, "citations_empty": 1, "citations_pdf": 5, "citations_doi": 1, "name": "MAsked FAces"}, "address": null, "citations": [["Face Attention Network: An Effective Face Detector for the Occluded Faces", "", "Beijing, China", "Beijing, China", "Beijing, China", "39.90419990", "116.40739630", "edu", "", "China", "2017"], ["Masquer Hunter: Adversarial Occlusion-aware Face Detection", "", "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", "", "China", "2017"], ["Face Attention Network: An Effective Face Detector for the Occluded Faces", "", "Beijing, China", "Beijing, China", "Beijing, China", "39.90419990", "116.40739630", "edu", "", "China", "2017"], ["Adversarial Occlusion-aware Face Detection", "", "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", "", "China", "2018"]]} \ No newline at end of file
+{"id": "9cc8cf0c7d7fa7607659921b6ff657e17e135ecc", "paper": {"key": "mafa", "name": "MAsked FAces", "title": "Detecting Masked Faces in the Wild with LLE-CNNs", "year": "2017", "addresses": []}, "citations": [{"id": "72cbbdee4f6eeee8b7dd22cea6092c532271009f", "title": "Masquer Hunter: Adversarial Occlusion-aware Face Detection", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05188.pdf"], "doi": []}, {"id": "3600aac8edc5bc015e69f2ffa893c21b6d4e1057", "title": "Face Attention Network: An Effective Face Detector for the Occluded Faces", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07246.pdf"], "doi": []}, {"id": "96f069b1bd2e4c41c8eb6dc3790c981cf2d67604", "title": "Adversarial Occlusion-aware Face Detection", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/96f0/69b1bd2e4c41c8eb6dc3790c981cf2d67604.pdf"], "doi": []}]} \ No newline at end of file