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| author | Jules Laplace <julescarbon@gmail.com> | 2018-12-16 17:47:21 +0100 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2018-12-16 17:47:21 +0100 |
| commit | 948174f04d9dea93271bec62283b1c09e687e157 (patch) | |
| tree | e755bb15d77ef21e43744fc07397b4b2b5cb20ca /site/datasets/citations/precarious.json | |
| parent | 00eb85af05208e2129e7eba46da795e4528d2735 (diff) | |
map and citations workin
Diffstat (limited to 'site/datasets/citations/precarious.json')
| -rw-r--r-- | site/datasets/citations/precarious.json | 1 |
1 files changed, 1 insertions, 0 deletions
diff --git a/site/datasets/citations/precarious.json b/site/datasets/citations/precarious.json new file mode 100644 index 00000000..0c04a612 --- /dev/null +++ b/site/datasets/citations/precarious.json @@ -0,0 +1 @@ +{"id": "9e5378e7b336c89735d3bb15cf67eff96f86d39a", "paper": {"paperId": "9e5378e7b336c89735d3bb15cf67eff96f86d39a", "key": "precarious", "title": "Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters", "journal": "2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": {"url": "https://arxiv.org/pdf/1703.06283.pdf", "linkType": "arxiv"}, "report_link": "papers/9e5378e7b336c89735d3bb15cf67eff96f86d39a.html", "citation_count": 12, "citations_geocoded": 1, "citations_unknown": 11, "citations_empty": 1, "citations_pdf": 10, "citations_doi": 0, "name": "Precarious"}, "address": null, "citations": [["Modeling Camera Effects to Improve Visual Learning from Synthetic Data", "", "University of Michigan", "University of Michigan", "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "42.29421420", "-83.71003894", "edu", ""]]}
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