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| author | jules@lens <julescarbon@gmail.com> | 2019-04-02 20:38:37 +0200 |
|---|---|---|
| committer | jules@lens <julescarbon@gmail.com> | 2019-04-02 20:38:37 +0200 |
| commit | 37fd0444136ff2d3d78337e7dd12f507c9578537 (patch) | |
| tree | 4110e49fd5c3c79fbdd9be2e643105dbf6b75d57 /site/datasets/citations/vgg_faces.json | |
| parent | 1d238346b5609e9454a4917c75631a550b5b43d1 (diff) | |
update
Diffstat (limited to 'site/datasets/citations/vgg_faces.json')
| -rw-r--r-- | site/datasets/citations/vgg_faces.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/citations/vgg_faces.json b/site/datasets/citations/vgg_faces.json index 5b09ba3b..7c0a4673 100644 --- a/site/datasets/citations/vgg_faces.json +++ b/site/datasets/citations/vgg_faces.json @@ -1 +1 @@ -{"id": "162ea969d1929ed180cc6de9f0bf116993ff6e06", "paper": {"key": "vgg_faces", "name": "VGG Face", "title": "Deep Face Recognition", "year": "2015", "addresses": []}, "citations": [{"id": "3803b91e784922a2dacd6a18f61b3100629df932", "title": "Temporal Multimodal Fusion for Video Emotion Classification in the Wild", "addresses": [{"name": "Orange", "source_name": "Orange Labs", "street_adddress": "78 Rue Olivier de Serres, 75015 Paris, France", "lat": "48.83321220", "lng": "2.29421550", "type": "company", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07200.pdf"], "doi": []}, {"id": "501e6bed8829f0cf26522a29f647453e8a9f770f", "title": "Individual Common Dolphin Identification Via Metric Embedding Learning", "addresses": [{"name": "Massey University", "source_name": "Massey University", "street_adddress": "1600 Belmont Blvd, Nashville, TN 37212, USA", "lat": "36.13564170", "lng": "-86.79379500", "type": "edu", "country": "United States"}, {"name": "NIWA, Wellington, New Zealand", "source_name": "NIWA, Wellington, New Zealand", "street_adddress": "301 Evans Bay Parade, Hataitai, Wellington 6021, New Zealand", "lat": "-41.30184570", "lng": "174.80511900", "type": "edu", "country": "New Zealand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8634778"]}, {"id": "87e165e00ceb93416d167acf65615433cc1028cf", "title": "On Mugshot-based Arbitrary View Face Recognition", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546094"]}, {"id": "bff1e1ecf00c37ec91edc7c5c85c1390726c3687", "title": "Constrained Deep Metric Learning for Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.07545.pdf"], "doi": []}, {"id": "9ef9046cc26946acedda3f515d9149a76e19cd6e", "title": "A Unified Multi-Faceted Video Summarization System", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01466.pdf"], "doi": []}, {"id": "b7a096387e09eb8fc1de957c4cf25e894cdfffcd", "title": "How to reach top accuracy for a visual pedestrian warning system from a car?", "addresses": [{"name": "KULeuven, EAVISE", "source_name": "KULeuven, EAVISE", "street_adddress": "Oude Markt 13, 3000 Leuven, Belgium", "lat": "50.87795450", "lng": "4.70029530", "type": "edu", "country": "Belgium"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820997", "http://doi.org/10.1109/IPTA.2016.7820997"]}, {"id": "6a0f62bbc27e5e194cec81e7c24a9b57d698817b", "title": "A discussion on fusion/confusion at score level in unimodal biometric systems", "addresses": [{"name": "Bili\u015fim ve Bilgi G\u00fcvenli\u011fi Teknolojileri Ara\u015ft\u0131rma Merkezi, T\u00fcrkiye Bilimsel Ve Teknolojik Ara\u015ft\u0131rma Merkezi, Kocaeli, T\u00fcrkiye", "source_name": "Bilişim ve Bilgi Güvenliği Teknolojileri Araştırma Merkezi, Türkiye Bilimsel Ve Teknolojik Araştırma Merkezi, Kocaeli, Türkiye", "street_adddress": "Turkey", "lat": "38.96374500", "lng": "35.24332200", "type": "edu", "country": "Turkey"}, {"name": "ERARGE, Erg\u00fcnler Ltd. \u015eti, \u0130stanbul, T\u00fcrkiye", "source_name": "ERARGE, Ergünler Ltd. 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