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Diffstat (limited to 'site/datasets/citations/rap_pedestrian.json')
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diff --git a/site/datasets/citations/rap_pedestrian.json b/site/datasets/citations/rap_pedestrian.json new file mode 100644 index 00000000..69413452 --- /dev/null +++ b/site/datasets/citations/rap_pedestrian.json @@ -0,0 +1 @@ +{"id": "221c18238b829c12b911706947ab38fd017acef7", "paper": {"paperId": "221c18238b829c12b911706947ab38fd017acef7", "key": "rap_pedestrian", "title": "A Richly Annotated Dataset for Pedestrian Attribute Recognition", "journal": "CoRR", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "http://pdfs.semanticscholar.org/221c/18238b829c12b911706947ab38fd017acef7.pdf", "report_link": "papers/221c18238b829c12b911706947ab38fd017acef7.html", "citation_count": 21, "citations_geocoded": 11, "citations_unknown": 10, "citations_empty": 0, "citations_pdf": 18, "citations_doi": 0, "name": "RAP"}, "address": null, "citations": [["Implementing a Robust Explanatory Bias in a Person Re-identification Network", "", "Naval Research Laboratory", "Naval Research Laboratory", "Naval Research Laboratory Post Office, 4555, Overlook Avenue Southwest, Washington, D.C., 20375, USA", "38.82313810", "-77.01789020", "mil", ""], ["A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking", "", "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", ""], ["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", ""], ["Improving Person Re-identification by Attribute and Identity Learning", "University of Technology Sydney", "University of Technology Sydney", "University of Technology Sydney", "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "-33.88096510", "151.20107299", "edu", ""], ["HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis", "", "SenseTime", "SenseTime", "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "39.99300800", "116.32988200", "company", "1 Zhongguancun E Rd, Haidian Qu, China"], ["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", ""], ["Localization Guided Learning for Pedestrian Attribute Recognition", "", "Beijing, China", "Beijing, China", "\u5317\u4eac\u5e02, \u4e1c\u57ce\u533a, \u5317\u4eac\u5e02, 100010, \u4e2d\u56fd", "39.90621700", "116.39127570", "edu", ""], ["Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization", "", "Beijing, China", "Beijing, China", "\u5317\u4eac\u5e02, \u4e1c\u57ce\u533a, \u5317\u4eac\u5e02, 100010, \u4e2d\u56fd", "39.90621700", "116.39127570", "edu", ""], ["Person Re-Identification with Vision and Language", "", "University of Surrey", "University of Surrey", "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "51.24303255", "-0.59001382", "edu", ""], ["Deep Imbalanced Attribute Classification Using Visual Attention Aggregation", "", "University of Houston", "University of Houston", "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "29.72079020", "-95.34406271", "edu", ""], ["Retrieving relative soft biometrics for semantic identification", "University of Southampton, United Kingdom", "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", ""]]}
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