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| author | Adam Harvey <adam@ahprojects.com> | 2018-12-23 01:37:03 +0100 |
|---|---|---|
| committer | Adam Harvey <adam@ahprojects.com> | 2018-12-23 01:37:03 +0100 |
| commit | 4452e02e8b04f3476273574a875bb60cfbb4568b (patch) | |
| tree | 3ffa44f9621b736250a8b94da14a187dc785c2fe /site/datasets/citations/disfa.json | |
| parent | 2a65f7a157bd4bace970cef73529867b0e0a374d (diff) | |
| parent | 5340bee951c18910fd764241945f1f136b5a22b4 (diff) | |
.
Diffstat (limited to 'site/datasets/citations/disfa.json')
| -rw-r--r-- | site/datasets/citations/disfa.json | 1 |
1 files changed, 1 insertions, 0 deletions
diff --git a/site/datasets/citations/disfa.json b/site/datasets/citations/disfa.json new file mode 100644 index 00000000..996070b9 --- /dev/null +++ b/site/datasets/citations/disfa.json @@ -0,0 +1 @@ +{"id": "a5acda0e8c0937bfed013e6382da127103e41395", "paper": {"paperId": "a5acda0e8c0937bfed013e6382da127103e41395", "key": "disfa", "title": "Extended DISFA Dataset: Investigating Posed and Spontaneous Facial Expressions", "journal": "2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": {"url": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789672", "linkType": "ieee"}, "report_link": "papers/a5acda0e8c0937bfed013e6382da127103e41395.html", "citation_count": 8, "citations_geocoded": 3, "citations_unknown": 5, "citations_empty": 1, "citations_pdf": 5, "citations_doi": 0, "name": "DISFA"}, "address": null, "citations": [["Every Smile is Unique: Landmark-Guided Diverse Smile Generation", "", "University of Trento", "University of Trento", "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "46.06588360", "11.11598940", "edu", ""], ["Bilateral Ordinal Relevance Multi-instance Regression for Facial Action Unit Intensity Estimation", "", "Rensselaer Polytechnic Institute", "Rensselaer Polytechnic Institute", "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "42.72984590", "-73.67950216", "edu", ""], ["Weakly-supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation", "", "Rensselaer Polytechnic Institute", "Rensselaer Polytechnic Institute", "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "42.72984590", "-73.67950216", "edu", ""]]}
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