24 citations · 47 across the 20 of their papers we have counts for
9 papers · 1 filter
When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition
Xiang Xu, Pengfei Dou, Ha A. Le +1
Most of the face recognition works focus on specific modules or demonstrate a research idea. This paper presents a pose-invariant 3D-aided 2D face recognition system (UR2D) that is…
Human Activity Recognition Using Robust Adaptive Privileged Probabilistic Learning
Michalis Vrigkas, Evangelos Kazakos, Christophoros Nikou +1
In this work, a novel method based on the learning using privileged information (LUPI) paradigm for recognizing complex human activities is proposed that handles missing informatio…
Facial 3D Model Registration Under Occlusions With SensiblePoints-based Reinforced Hypothesis Refinement
Yuhang Wu, Ioannis A. Kakadiaris
Registering a 3D facial model to a 2D image under occlusion is difficult. First, not all of the detected facial landmarks are accurate under occlusions. Second, the number of relia…
Curriculum Learning of Visual Attribute Clusters for Multi-Task Classification
Nikolaos Sarafianos, Theodore Giannakopoulos, Christophoros Nikou +1
Visual attributes, from simple objects (e.g., backpacks, hats) to soft-biometrics (e.g., gender, height, clothing) have proven to be a powerful representational approach for many a…
Inferring Human Activities Using Robust Privileged Probabilistic Learning
Michalis Vrigkas, Evangelos Kazakos, Christophoros Nikou +1
Classification models may often suffer from "structure imbalance" between training and testing data that may occur due to the deficient data collection process. This imbalance can…
Adaptive SVM+: Learning with Privileged Information for Domain Adaptation
Nikolaos Sarafianos, Michalis Vrigkas, Ioannis A. Kakadiaris
Incorporating additional knowledge in the learning process can be beneficial for several computer vision and machine learning tasks. Whether privileged information originates from…
Curriculum Learning for Multi-Task Classification of Visual Attributes
Nikolaos Sarafianos, Theodore Giannakopoulos, Christophoros Nikou +1
Visual attributes, from simple objects (e.g., backpacks, hats) to soft-biometrics (e.g., gender, height, clothing) have proven to be a powerful representational approach for many a…
End-to-end 3D face reconstruction with deep neural networks
Pengfei Dou, Shishir K. Shah, Ioannis A. Kakadiaris
Monocular 3D facial shape reconstruction from a single 2D facial image has been an active research area due to its wide applications. Inspired by the success of deep neural network…
GoDP: Globally optimized dual pathway system for facial landmark localization in-the-wild
Yuhang Wu, Shishir K. Shah, Ioannis A. Kakadiaris
Facial landmark localization is a fundamental module for pose-invariant face recognition. The most common approach for facial landmark detection is cascaded regression, which is co…