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+{"id": "563c940054e4b456661762c1ab858e6f730c3159", "paper": {"paperId": "563c940054e4b456661762c1ab858e6f730c3159", "key": "data_61", "title": "A Multi-modal Graphical Model for Scene Analysis", "journal": "2015 IEEE Winter Conference on Applications of Computer Vision", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.139", "report_link": "papers/563c940054e4b456661762c1ab858e6f730c3159.html", "citation_count": 8, "citations_geocoded": 1, "citations_unknown": 7, "citations_empty": 0, "citations_pdf": 5, "citations_doi": 0, "name": "Data61 Pedestrian"}, "address": null, "citations": [["Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer", "", "University of Washington", "University of Washington", "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "47.65432380", "-122.30800894", "edu", ""]]} \ No newline at end of file