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authorjules@lens <julescarbon@gmail.com>2019-02-13 13:56:33 +0100
committerjules@lens <julescarbon@gmail.com>2019-02-13 13:56:33 +0100
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treeeb9b3f1e09ee494c8c6e0b7f2d92d4993027d527 /site/datasets/citations/apis.json
parent857a8a5f13fa63e7cbc56bfee0361c8c02860424 (diff)
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-{"id": "488e475eeb3bb39a145f23ede197cd3620f1d98a", "paper": {"paperId": "488e475eeb3bb39a145f23ede197cd3620f1d98a", "key": "apis", "title": "Pedestrian Attribute Classification in Surveillance: Database and Evaluation", "journal": "2013 IEEE International Conference on Computer Vision Workshops", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W10/papers/Zhu_Pedestrian_Attribute_Classification_2013_ICCV_paper.pdf", "report_link": "papers/488e475eeb3bb39a145f23ede197cd3620f1d98a.html", "citation_count": 26, "citations_geocoded": 10, "citations_unknown": 16, "citations_empty": 1, "citations_pdf": 13, "citations_doi": 13, "name": "APiS1.0"}, "address": null, "citations": [["Deep View-Sensitive Pedestrian Attribute Inference in an end-to-end Model", "", "Karlsruhe Institute of Technology", "Karlsruhe Institute of Technology", "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "49.10184375", "8.43312560", "edu", "", "2017"], ["Pedestrian Attribute Recognition At Far Distance", "", "Chinese University of Hong Kong", "The Chinese University of Hong Kong", "\u4e2d\u5927 CUHK, NA\u68af New Asia Stairs, \u99ac\u6599\u6c34 Ma Liu Shui, \u4e5d\u809a\u6751 Kau To Village, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1191, \u4e2d\u56fd", "22.42031295", "114.20788644", "edu", "", 2014], ["Analysing Soft Clothing Biometrics for Retrieval", "", "University of Southampton", "University of Southampton", "Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK", "50.89273635", "-1.39464295", "edu", "", 2014], ["Pedestrian Attribute Detection Using CNN", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", 2016], ["Attribute Recognition by Joint Recurrent Learning of Context and Correlation", "", "Queen Mary University of London", "Queen Mary University of London", "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "51.52472720", "-0.03931035", "edu", "", "2017"], ["Deep domain adaptation for describing people based on fine-grained clothing attributes", "ples of such ne-grained descriptions, including attributes covering detailed", "IBM Research, North Carolina", "IBM Research", "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "35.90422720", "-78.85565763", "company", "", 2015], ["A Richly Annotated Dataset for Pedestrian Attribute Recognition", "", "Temple University", "Temple University", "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "39.95472495", "-75.15346905", "edu", "", 2016], ["Soft Biometric Recognition from Comparative Crowdsourced Annotations", "", "University of Southampton", "University of Southampton", "Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK", "50.89273635", "-1.39464295", "edu", "", 2015], ["Analysing comparative soft biometrics from crowdsourced annotations", "", "University of Southampton", "University of Southampton", "Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK", "50.89273635", "-1.39464295", "edu", "", 2016], ["Improve Pedestrian Attribute Classification by Weighted Interactions from Other Attributes", "Institute of Automation, Chinese Academy of Sciences", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", 2014]]} \ No newline at end of file
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