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Diffstat (limited to 'site/datasets/citations/caltech_crp.json')
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diff --git a/site/datasets/citations/caltech_crp.json b/site/datasets/citations/caltech_crp.json new file mode 100644 index 00000000..a74ee5c6 --- /dev/null +++ b/site/datasets/citations/caltech_crp.json @@ -0,0 +1 @@ +{"id": "060820f110a72cbf02c14a6d1085bd6e1d994f6a", "paper": {"key": "caltech_crp", "name": "Caltech CRP", "title": "Fine-grained classification of pedestrians in video: Benchmark and state of the art", "year": "2015"}, "address": {}, "citations": [{"id": "3c4d0c604d892572996c1ee0504a1f1e0887a2ce", "title": "Looking at Humans in the Age of Self-Driving and Highly Automated Vehicles", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/humansTIV.pdf", "http://cvrr.ucsd.edu/publications/2016/Humans+AutomatedVehicles_IEEETrans-IV2016.pdf", "https://eshed1.github.io/papers/humansTIV.pdf"]}, {"id": "b6f5b2b519316e9ebdb8d3a94bb8f8100e028cae", "title": "Learning to Forecast Pedestrian Intention from Pose Dynamics", "addresses": [{"name": "Robert Bosch GmbH, Hildesheim, Germany", "source_name": "Robert Bosch GmbH, Hildesheim, Germany", "street_adddress": "Robert-Bosch-Stra\u00dfe 200, 31139 Hildesheim, Germany", "lat": "52.11667120", "lng": "9.89667860", "type": "company", "country": "Germany"}], "year": "2018", "pdf": []}, {"id": "7cf8eec76042dd8117f8c1e02b3d2a9ca4748dac", "title": "Integral Histogram with Random Projection for Pedestrian Detection", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7cf8/eec76042dd8117f8c1e02b3d2a9ca4748dac.pdf"]}, {"id": "547b09ddbc94900523d60dcfc51b61add7699588", "title": "PatchIt: Self-Supervised Network Weight Initialization for Fine-grained Recognition", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/547b/09ddbc94900523d60dcfc51b61add7699588.pdf"]}, {"id": "907d1baa5f344d147aad4a3d9cff382d9e7250b9", "title": "Maritime Vessel Images Classification Using Deep Convolutional Neural Networks", "addresses": [{"name": "Hanoi University of Science and Technology", "source_name": "Hanoi University of Science and Technology", "street_adddress": "HUST, Tr\u1ea7n \u0110\u1ea1i Ngh\u0129a, Hai B\u00e0 Tr\u01b0ng, H\u00e0 N\u1ed9i, 10999, Vietnam", "lat": "21.00395200", "lng": "105.84360183", "type": "edu", "country": "Vietnam"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": []}, {"id": "44d23df380af207f5ac5b41459c722c87283e1eb", "title": "Human Attribute Recognition by Deep Hierarchical Contexts", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8e28/07f2dd53b03a759e372e07f7191cae65c9fd.pdf"]}]}
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