412 citations · 668 across the 18 of their papers we have counts for
18 papers
Bayesian Eye Tracking
Qiang Ji, Kang Wang
Model-based eye tracking has been a dominant approach for eye gaze tracking because of its ability to generalize to different subjects, without the need of any training data and ey…
DAGs with No Curl: An Efficient DAG Structure Learning Approach
Yue Yu, Tian Gao, Naiyu Yin +1
Recently directed acyclic graph (DAG) structure learning is formulated as a constrained continuous optimization problem with continuous acyclicity constraints and was solved iterat…
Deep Structured Prediction for Facial Landmark Detection
Lisha Chen, Hui Su, Qiang Ji
Existing deep learning based facial landmark detection methods have achieved excellent performance. These methods, however, do not explicitly embed the structural dependencies amon…
Type-augmented Relation Prediction in Knowledge Graphs
Zijun Cui, Pavan Kapanipathi, Kartik Talamadupula +2
Knowledge graphs (KGs) are of great importance to many real world applications, but they generally suffer from incomplete information in the form of missing relations between entit…
Affective Computing for Large-Scale Heterogeneous Multimedia Data: A Survey
Sicheng Zhao, Shangfei Wang, Mohammad Soleymani +2
The wide popularity of digital photography and social networks has generated a rapidly growing volume of multimedia data (i.e., image, music, and video), resulting in a great deman…
Parallel Medical Imaging for Intelligent Medical Image Analysis: Concepts, Methods, and Applications
Chao Gou, Tianyu Shen, Wenbo Zheng +5
There has been much progress in data-driven artificial intelligence technology for medical image analysis in the last decades. However, it still remains challenging due to its dist…
Facial Landmark Detection: a Literature Survey
Yue Wu, Qiang Ji
The locations of the fiducial facial landmark points around facial components and facial contour capture the rigid and non-rigid facial deformations due to head movements and facia…
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…
A Hierarchical Probabilistic Model for Facial Feature Detection
Yue Wu, Ziheng Wang, Qiang Ji
Facial feature detection from facial images has attracted great attention in the field of computer vision. It is a nontrivial task since the appearance and shape of the face tend t…
Facial Feature Tracking under Varying Facial Expressions and Face Poses based on Restricted Boltzmann Machines
Yue Wu, Zuoguan Wang, Qiang Ji
Facial feature tracking is an active area in computer vision due to its relevance to many applications. It is a nontrivial task, since faces may have varying facial expressions, po…
Latent Regression Bayesian Network for Data Representation
Siqi Nie, Qiang Ji
Deep directed generative models have attracted much attention recently due to their expressive representation power and the ability of ancestral sampling. One major difficulty of l…
Advances in Learning Bayesian Networks of Bounded Treewidth
Siqi Nie, Denis Deratani Maua, Cassio Polpo de Campos +1
This work presents novel algorithms for learning Bayesian network structures with bounded treewidth. Both exact and approximate methods are developed. The exact method combines mix…
Strategy Selection in Influence Diagrams using Imprecise Probabilities
Cassio Polpo de Campos, Qiang Ji
This paper describes a new algorithm to solve the decision making problem in Influence Diagrams based on algorithms for credal networks. Decision nodes are associated to imprecise…