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Two-Stream Transformer Networks for Video-Based Face Alignment.

IEEE transactions on pattern analysis and machine intelligence
In this paper, we propose a two-stream transformer networks (TSTN) approach for video-based face alignment. Unlike conventional image-based face alignment approaches which cannot explicitly model the temporal dependency in videos and motivated by the...

Learning from Ambiguously Labeled Face Images.

IEEE transactions on pattern analysis and machine intelligence
Learning a classifier from ambiguously labeled face images is challenging since training images are not always explicitly-labeled. For instance, face images of two persons in a news photo are not explicitly labeled by their names in the caption. We p...

Discriminative Deep Metric Learning for Face and Kinship Verification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
This paper presents a new discriminative deep metric learning (DDML) method for face and kinship verification in wild conditions. While metric learning has achieved reasonably good performance in face and kinship verification, most existing metric le...

Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
In this paper, we propose a simultaneous feature and dictionary learning (SFDL) method for image set-based face recognition, where each training and testing example contains a set of face images, which were captured from different variations of pose,...

A Deep Convolutional Neural Network-Based Framework for Automatic Fetal Facial Standard Plane Recognition.

IEEE journal of biomedical and health informatics
Ultrasound imaging has become a prevalent examination method in prenatal diagnosis. Accurate acquisition of fetal facial standard plane (FFSP) is the most important precondition for subsequent diagnosis and measurement. In the past few years, conside...

Personalized Age Progression with Bi-Level Aging Dictionary Learning.

IEEE transactions on pattern analysis and machine intelligence
Age progression is defined as aesthetically re-rendering the aging face at any future age for an individual face. In this work, we aim to automatically render aging faces in a personalized way. Basically, for each age group, we learn an aging diction...

Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition.

IEEE transactions on pattern analysis and machine intelligence
Human faces in surveillance videos often suffer from severe image blur, dramatic pose variations, and occlusion. In this paper, we propose a comprehensive framework based on Convolutional Neural Networks (CNN) to overcome challenges in video-based fa...

Extra Facial Landmark Localization via Global Shape Reconstruction.

Computational intelligence and neuroscience
Localizing facial landmarks is a popular topic in the field of face analysis. However, problems arose in practical applications such as handling pose variations and partial occlusions while maintaining moderate training model size and computational e...

Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
This paper addresses the problem of face recognition when there is only few, or even only a single, labeled examples of the face that we wish to recognize. Moreover, these examples are typically corrupted by nuisance variables, both linear (i.e., add...

A Novel Graph Constructor for Semisupervised Discriminant Analysis: Combined Low-Rank and -Nearest Neighbor Graph.

Computational intelligence and neuroscience
Semisupervised Discriminant Analysis (SDA) is a semisupervised dimensionality reduction algorithm, which can easily resolve the out-of-sample problem. Relative works usually focus on the geometric relationships of data points, which are not obvious, ...