79 citations · 161 across the 12 of their papers we have counts for
8 papers · 1 filter
A Generative Restricted Boltzmann Machine Based Method for High-Dimensional Motion Data Modeling
Siqi Nie, Ziheng Wang, Qiang Ji
Many computer vision applications involve modeling complex spatio-temporal patterns in high-dimensional motion data. Recently, restricted Boltzmann machines (RBMs) have been widely…
Deep Regression Bayesian Network and Its Applications
Siqi Nie, Meng Zheng, Qiang Ji
Deep directed generative models have attracted much attention recently due to their generative modeling nature and powerful data representation ability. In this paper, we review di…
Simultaneous Facial Landmark Detection, Pose and Deformation Estimation under Facial Occlusion
Yue Wu, Chao Gou, Qiang Ji
Facial landmark detection, head pose estimation, and facial deformation analysis are typical facial behavior analysis tasks in computer vision. The existing methods usually perform…
Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection
Yue Wu, Qiang Ji
Cascade regression framework has been shown to be effective for facial landmark detection. It starts from an initial face shape and gradually predicts the face shape update from th…
Constrained Deep Transfer Feature Learning and its Applications
Yue Wu, Qiang Ji
Feature learning with deep models has achieved impressive results for both data representation and classification for various vision tasks. Deep feature learning, however, typicall…
Robust Facial Landmark Detection under Significant Head Poses and Occlusion
Yue Wu, Qiang Ji
There have been tremendous improvements for facial landmark detection on general "in-the-wild" images. However, it is still challenging to detect the facial landmarks on images wit…