From 4345e7ba370113c56afbd7e0eda6a1696146a328 Mon Sep 17 00:00:00 2001 From: Jules Date: Tue, 30 Oct 2018 21:14:59 -0400 Subject: data --- ...d Frontal Faces: Improving Person Recognition Using Multiple Cues.csv | 1 + 1 file changed, 1 insertion(+) create mode 100644 datasets/scholar/entries/Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues.csv (limited to 'datasets/scholar/entries/Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues.csv') diff --git a/datasets/scholar/entries/Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues.csv b/datasets/scholar/entries/Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues.csv new file mode 100644 index 00000000..0b36206c --- /dev/null +++ b/datasets/scholar/entries/Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues.csv @@ -0,0 +1 @@ +Beyond frontal faces: Improving person recognition using multiple cues|http://scholar.google.com/https://www.cv-foundation.org/openaccess/content_cvpr_2015/html/Zhang_Beyond_Frontal_Faces_2015_CVPR_paper.html|2015|70|13|4032136205953773331|None|http://scholar.google.com/scholar?cites=4032136205953773331&as_sdt=2005&sciodt=0,5&hl=en|http://scholar.google.com/scholar?cluster=4032136205953773331&hl=en&as_sdt=0,5|None|We explore the task of recognizing peoples' identities in photo albums in an unconstrained setting. To facilitate this, we introduce the new People In Photo Albums (PIPA) dataset, consisting of over 60000 instances of~ 2000 individuals collected from public Flickr photo albums. With only about half of the person images containing a frontal face, the recognition task is very challenging due to the large variations in pose, clothing, camera viewpoint, image resolution and illumination. We propose the Pose Invariant PErson Recognition … -- cgit v1.2.3-70-g09d2