diff options
Diffstat (limited to 'site/datasets/citations/scut_fbp.json')
| -rw-r--r-- | site/datasets/citations/scut_fbp.json | 1 |
1 files changed, 1 insertions, 0 deletions
diff --git a/site/datasets/citations/scut_fbp.json b/site/datasets/citations/scut_fbp.json new file mode 100644 index 00000000..8e521389 --- /dev/null +++ b/site/datasets/citations/scut_fbp.json @@ -0,0 +1 @@ +{"id": "bd26dabab576adb6af30484183c9c9c8379bf2e0", "paper": {"paperId": "bd26dabab576adb6af30484183c9c9c8379bf2e0", "key": "scut_fbp", "title": "SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception", "journal": "2015 IEEE International Conference on Systems, Man, and Cybernetics", "address": "South China University of Technology", "address_type": "edu", "lat": "23.05020420", "lng": "113.39880323", "pdf_link": {"url": "https://arxiv.org/pdf/1511.02459.pdf", "linkType": "arxiv"}, "report_link": "papers/bd26dabab576adb6af30484183c9c9c8379bf2e0.html", "citation_count": 14, "citations_geocoded": 6, "citations_unknown": 8, "citations_empty": 3, "citations_pdf": 5, "citations_doi": 7, "name": "SCUT-FBP"}, "address": ["South China University of Technology", "South China University of Technology", "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "23.05020420", "113.39880323", "edu", ""], "citations": [["Prediction of users' facial attractiveness on an online dating website", "The University of Tokyo, Japan", "University of Tokyo", "University of Tokyo", "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "35.90204480", "139.93622009", "edu", ""], ["Benchmark of a large scale database for facial beauty prediction", "Wuyi University, Jiangmen, China", "Wuyi University", "Wuyi University, Jiangmen, China", "Pengjiang, Jiangmen, China, 529030", "22.59924800", "113.08663400", "edu", ""], ["Region-aware scattering convolution networks for facial beauty prediction", "South China University of Technology, Guangzhou, China", "South China University of Technology", "South China University of Technology", "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "23.05020420", "113.39880323", "edu", ""], ["Transferring Rich Deep Features for Facial Beauty Prediction", "University of North Texas", "University of North Texas", "University of North Texas", "University of North Texas, West Highland Street, Denton, Denton County, Texas, 76201, USA", "33.20988790", "-97.15147488", "edu", ""], ["Advances in computational facial attractiveness methods", "School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, China", "Northwestern Polytechnical University", "Northwestern Polytechnical University", "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "34.24691520", "108.91061982", "edu", ""], ["Facial attractiveness prediction using psychologically inspired convolutional neural network (PI-CNN)", "South China University of Technology, Guangzhou, China", "South China University of Technology", "South China University of Technology", "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "23.05020420", "113.39880323", "edu", ""]]}
\ No newline at end of file |