… A facial recognition algorithm was applied to naturalistic images of 1,085,795 individuals
to predict their political orientation by comparing their similarity to faces of liberal and …

… resolution face images… image partitions, comparing with state-of-the-art approaches AttnGAN
[39], ControlGAN [19], DM-GAN [47], and DFGAN [32] for image generation, and comparing …

… face manipulation using MaskGAN, given an target image It ∈ RH×W ×3 , a semantic label
mask of target image Mt ∈ … Figure 8: Visual comparison with other methods on style copy. * …

… by comparing pairs of generated images. Experiments show that through our imitative-contrastive
learning, the factor variations are very well disentangled and the properties of a …

… face image into many small regions and consider each region as an individual sample, the
unbalanced distribution between regions containing key face … To make a fair comparison, we …

… None of the algorithms were trained on face images collected at Notre Dame4. The A2011
algorithm is a fused algorithm of three top performing algorithms in the FRVT 2006 conducted …

… The comparison of our approach was done on two face recog… of face quality assessment
[4, 23, 22, 19] that states the face quality as a utility measure of a face image for an arbitrary face …

… [28], finally, we applied the LBP algorithm on our detected face images for feature extraction
& comparison. The first LBP operator described in literature uses a fixed 3 X 3 neighborhood …

… (3) Through comparison, we find some rules for deep transfer learning from … procedure,
we perform face detection on the original 2D face images by a face detector in OpenCV [26] …

… This paper proposes an image-based method for automated rock fracture … images of rock
tunnel faces is established and selected to train and test the FraSegNet model. A comparison …