Q. Ji

发表

A new technique for camera self-calibration

Qiang Ji, Songtao Dai, Q. Ji, 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

Data-Free Prior Model for Facial Action Unit Recognition

Qiang Ji, Yongqiang Li, Jixu Chen, 2013, IEEE Transactions on Affective Computing.

Constraints on priors and on estimations for learning Bayesian network parameters

Q. Ji, Cassio Polpo de Campos, 2008 .

Learning with privileged information using Bayesian networks

Qiang Ji, Yue Liu, Shan He, 2015, Frontiers of Computer Science.

A robust linear least-squares estimation of camera exterior orientation using multiple geometric features

R. Haralick, L. Shapiro, Q. Ji, 2000 .

An automated face reader for fatigue detection

Qiang Ji, Haisong Gu, Q. Ji, 2004, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings..

In the Eye of the Beholder: A Survey of Models for Eyes and Gaze

Qiang Ji, Dan Witzner Hansen, Q. Ji, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

AVSS 2011 demo session: A large-scale benchmark dataset for event recognition in surveillance video

Larry S. Davis, Amit K. Roy-Chowdhury, Jake K. Aggarwal, 2011, AVSS.

Facial Expression Intensity Estimation Using Ordinal Information

Qiang Ji, Rui Zhao, Shangfei Wang, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A new efficient ellipse detection method

Qiang Ji, Yonghong Xie, Q. Ji, 2002, Object recognition supported by user interaction for service robots.

Modeling and Predicting Face Recognition System Performance Based on Analysis of Similarity Scores

Qiang Ji, Peng Wang, James L. Wayman, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Capturing Global Semantic Relationships for Facial Action Unit Recognition

Qiang Ji, Yongqiang Li, Ziheng Wang, 2013, 2013 IEEE International Conference on Computer Vision.

Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance

Qiang Ji, Xiaojie Yang, Q. Ji, 2002, Real Time Imaging.

Temporal Pattern Localization using Mixed Integer Linear Programming

Qiang Ji, Rui Zhao, Gerwin Schalk, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Short Papers Breakpoint Detection Using Covariance Propagation

R. Haralick, Q. Ji, 1998 .

Hierarchical Context Modeling for Video Event Recognition

Q. Ji, Xiaoyang Wang, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Face Recognition System with various Expression and Occlusion based on a Novel Block Matching Algorithm and PCA

Anil K. Jain, F. Perronnin, B. Moghaddam, 2020 .

Real-time human facial behavior understanding for human computer interaction

Q. Ji, Zhiwei Zhu, 2005 .

Segmentation of Video Sequences using Spatial-temporal Conditional Random Fields

Q. Ji, Lei Zhang, 2008, 2008 IEEE Workshop on Motion and video Computing.

Decoding onset and direction of movements using Electrocorticographic (ECoG) signals in humans

Qiang Ji, Gerwin Schalk, Aysegul Gunduz, 2012, Front. Neuroeng..

D gaze estimation without explicit personal calibration

Q. Ji, Kang Wang, 2018 .

Multi-view face detection under complex scene based on combined SVMs

Qiang Ji, Peng Wang, Q. Ji, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Semi-Qualitative Probabilistic Networks in Computer Vision Problems

Qiang Ji, Lei Zhang, Yan Tong, 2009 .

Segmentation of Cell Components Using Prior Knowledge

Q. Ji, B. McEwen, Ming Jiang, 2007 .

A Probabilistic Approach to Online Eye Gaze Tracking Without Personal Calibration

Qiang Ji, Jixu Chen, Q. Ji, 2012 .

Color Image segmentation using Similarity based Region merging and Flood Fill Algorithm

Q. Ji, I. Grinias, C. Panagiotakis, 2016 .

A Probabilistic Framework for Modelling and Real-Time Monit oring Human Fatigue

Q. Ji, C. Looney, Peilin Lan, 2003 .

2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013, Geneva, Switzerland, September 2-5, 2013

Qiang Ji, Emmanuel Dellandréa, Liming Chen, 2013, ACII.

Affective Computing for Large-scale Heterogeneous Multimedia Data

D. Joshi, Q. Ji, Sicheng Zhao, 2019, ACM Transactions on Multimedia Computing, Communications, and Applications.

Decoding of Finger Flexion from Electrocorticographic Signals Using Switching Non-Parametric Dynamic Systems

Qiang Ji, Q. Ji, 2011, NIPS 2011.

Unifying Heterogeneous Relationships in A Single Framework for Image Segmentation

Q. Ji, Lei Zhang, 2008 .

Exploiting Dynamic Dependencies Among Action Units for Spontaneous Facial Action Recognition

Qiang Ji, Yan Tong, Q. Ji, 2015 .

AU-Aware 3D Face Reconstruction through Personalized AU-Specific Blendshape Learning

J. Kephart, Q. Ji, Zijun Cui, 2022, ECCV.

Handling missing labels and class imbalance challenges simultaneously for facial action unit recognition

Q. Ji, H. Yao, Yongqiang Li, 2019, Multimedia Tools and Applications.

Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation

Baoyuan Wu, Weiming Dong, Bao-Gang Hu, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Deep eye fixation map learning for calibration-free eye gaze tracking

Qiang Ji, Shen Wang, Kang Wang, 2016, ETRA.

Emotion Recognition with the Help of Privileged Information

Qiang Ji, Lihua Yue, Shangfei Wang, 2015, IEEE Transactions on Autonomous Mental Development.

Emotion recognition from users' EEG signals with the help of stimulus VIDEOS

Qiang Ji, Shangfei Wang, Yachen Zhu, 2014, 2014 IEEE International Conference on Multimedia and Expo (ICME).

Posed and Spontaneous Expression Distinction Using Latent Regression Bayesian Networks

Qiang Ji, Shangfei Wang, Longfei Hao, 2020, ACM Trans. Multim. Comput. Commun. Appl..

Knowledge Based Activity Recognition with Dynamic Bayesian Network

Qiang Ji, Zhi Zeng, Q. Ji, 2010, ECCV.

Prior Knowledge Improves Decoding of Finger Flexion from Electrocorticographic Signals

Gerwin Schalk, Z. Wang, Q. Ji, 2011, Front. Neurosci..

Learning Bayesian Networks with qualitative constraints

Qiang Ji, Yan Tong, Q. Ji, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Spatio-Temporal Context for Robust Multitarget Tracking

A. Smeulders, H. Nguyen, Q. Ji, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Robust multi-target tracking using spatio-temporal context

Qiang Ji, Arnold W. M. Smeulders, Hieu Tat Nguyen, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Efficient score-based Markov Blanket discovery

Qiang Ji, Tian Gao, Q. Ji, 2017, Int. J. Approx. Reason..

An end-to-end system for content-based video retrieval using behavior, actions, and appearance with interactive query refinement

Larry S. Davis, B. S. Manjunath, Jake K. Aggarwal, 2015, 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

Context augmented Dynamic Bayesian Networks for event recognition

Qiang Ji, Xiaoyang Wang, Q. Ji, 2014, Pattern Recognit. Lett..

A Hierarchical Context Model for Event Recognition in Surveillance Video

Qiang Ji, Xiaoyang Wang, Q. Ji, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Incorporating contextual knowledge to Dynamic Bayesian Networks for event recognition

Qiang Ji, Xiaoyang Wang, Q. Ji, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Robust facial feature tracking under varying face pose and facial expression

Yang Wang, Zhiwei Zhu, Qiang Ji, 2007, Pattern Recognit..

Robust real-time eye detection and tracking under variable lighting conditions and various face orientations

Zhiwei Zhu, Qiang Ji, Q. Ji, 2005, Comput. Vis. Image Underst..

Action recognition and localization with spatial and temporal contexts

Qiang Ji, Zhenjiang Miao, Jian Yu, 2019, Neurocomputing.

Video event recognition with deep hierarchical context model

Qiang Ji, Xiaoyang Wang, Q. Ji, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Handling missing labels and class imbalance challenges simultaneously for facial action unit recognition

Qiang Ji, Baoyuan Wu, Hongxun Yao, 2019, Multimedia Tools and Applications.

Facial action unit recognition under incomplete data based on multi-label learning with missing labels

Qiang Ji, Baoyuan Wu, Bernard Ghanem, 2016, Pattern Recognit..

Deep Feature Learning Using Target Priors with Applications in ECoG Signal Decoding for BCI

Qiang Ji, Siwei Lyu, Gerwin Schalk, 2013, IJCAI.

Learning with Target Prior

Qiang Ji, Siwei Lyu, Gerwin Schalk, 2012, NIPS.

Active and dynamic information fusion for facial expression understanding from image sequences

Qiang Ji, Yongmian Zhang, Yongmian Zhang, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Facial Action Unit Recognition by Exploiting Their Dynamic and Semantic Relationships

Qiang Ji, Yan Tong, Wenhui Liao, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-label learning with missing labels for image annotation and facial action unit recognition

Qiang Ji, Baoyuan Wu, Bao-Gang Hu, 2015, Pattern Recognit..

Multi-label Learning with Missing Labels

Qiang Ji, Baoyuan Wu, Bao-Gang Hu, 2014, 2014 22nd International Conference on Pattern Recognition.

Efficient Sensor Selection for Active Information Fusion

Qiang Ji, Yongmian Zhang, Yongmian Zhang, 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Efficient non-myopic value-of-information computation for influence diagrams

Qiang Ji, Wenhui Liao, Q. Ji, 2008, Int. J. Approx. Reason..

Improving Face Recognition by Online Image Alignment

Qiang Ji, Peng Wang, Lam C. Tran, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Classifier learning with hidden information

Qiang Ji, Ziheng Wang, Q. Ji, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A factorization approach to evaluating simultaneous influence diagrams

Qiang Ji, Weihong Zhang, Q. Ji, 2006, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

Cycle-by-cycle intersection queue length distribution estimation using sample travel times

Peng Hao, Dong Guo, Xuegang Ban, 2014 .

Vehicle index estimation for signalized intersections using sample travel times

Qiang Ji, Peng Hao, Dong Guo, 2013 .

Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis

Shaun J. Canavan, Peng Liu, Xing Zhang, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Efficient Structure Learning of Bayesian Networks using Constraints

Qiang Ji, Cassio Polpo de Campos, Q. Ji, 2011, J. Mach. Learn. Res..

Undirected probabilistic graphical models

Qiang Ji, Q. Ji, 2020 .

3D face pose tracking from an uncalibrated monocular camera

Zhiwei Zhu, Qiang Ji, Q. Ji, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Image Segmentation with a Unified Graphical Model

Qiang Ji, Lei Zhang, Q. Ji, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning a discriminative dictionary for facial expression recognition

Qiang Ji, Hongxun Yao, Yongqiang Li, 2015, 2015 International Conference on Affective Computing and Intelligent Interaction (ACII).

Type-augmented Relation Prediction in Knowledge Graphs pdf

Kartik Talamadupula, Tian Gao, Qiang Ji, 2020, AAAI.

Toward a decision-theoretic framework for affect recognition and user assistance

Zhiwei Zhu, Qiang Ji, Weihong Zhang, 2006, Int. J. Hum. Comput. Stud..

Inferring Facial Action Units with Causal Relations

Qiang Ji, Yan Tong, Wenhui Liao, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Implicit video emotion tagging from audiences’ facial expression

Q. Ji, Shangfei Wang, Menghua He, 2015, Multimedia Tools and Applications.

A Decision Theoretic Model for Stress Recognition and User Assistance

Zhiwei Zhu, Qiang Ji, Weihong Zhang, 2005, AAAI.

A Real-Time Human Stress Monitoring System Using Dynamic Bayesian Network

Zhiwei Zhu, Qiang Ji, Weihong Zhang, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

Knowledge Augmented Deep Neural Networks for Joint Facial Expression and Action Unit Recognition

Qiang Ji, Yuru Wang, Tengfei Song, 2020, NeurIPS.

A dynamic conditional random field model for object segmentation in image sequences

Yang Wang, Qiang Ji, Yang Wang, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Gender recognition from visible and thermal infrared facial images

Q. Ji, Shangfei Wang, Menghua He, 2016, Multimedia tools and applications.

Bayesian Adversarial Human Motion Synthesis

Qiang Ji, Rui Zhao, Hui Su, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Non-Segmented Chinese License Plate Recognition Algorithm based on Deep neural Networks

Wen-bin GONG, Zhang-song SHI, Qiang JI, 2020, 2020 Chinese Control And Decision Conference (CCDC).

Constrained Deep Transfer Feature Learning and Its Applications

Qiang Ji, Yue Wu, Q. Ji, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Crossing Domains for AU Coding: Perspectives, Approaches, and Measures

Jeffrey F. Cohn, Zheng Zhang, Itir Onal Ertugrul, 2020, IEEE Transactions on Biometrics, Behavior, and Identity Science.

Deep Reinforcement Polishing Network for Video Captioning

Jian Yu, Qiang Ji, Wanru Xu, 2021, IEEE Transactions on Multimedia.

Generalizing Eye Tracking With Bayesian Adversarial Learning

Rui Zhao, Qiang Ji, Hui Su, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Real Time Eye Gaze Tracking with 3D Deformable Eye-Face Model

Qiang Ji, Kang Wang, Q. Ji, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Human Computer Interaction with Head Pose, Eye Gaze and Body Gestures

Qiang Ji, Rui Zhao, Kang Wang, 2018, 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018).

Coupled cascade regression for simultaneous facial landmark detection and head pose estimation

Qiang Ji, Fei-Yue Wang, Yue Wu, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Simultaneous Facial Landmark Detection, Pose and Deformation Estimation Under Facial Occlusion

Qiang Ji, Yue Wu, Chao Gou, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Robust Facial Landmark Detection Under Significant Head Poses and Occlusion

Qiang Ji, Yue Wu, Q. Ji, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Facial Landmark Detection: A Literature Survey

Qiang Ji, Yue Wu, Q. Ji, 2018, International Journal of Computer Vision.

Gender recognition from visible and thermal infrared facial images

Qiang Ji, Zhen Gao, Shan He, 2016, Multimedia Tools and Applications.

Bayesian Graph Convolution LSTM for Skeleton Based Action Recognition

Qiang Ji, Rui Zhao, Hui Su, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

A joint cascaded framework for simultaneous eye detection and eye state estimation

Qiang Ji, Fei-Yue Wang, Kunfeng Wang, 2017, Pattern Recognit..

Label Error Correction and Generation through Label Relationships

Qiang Ji, Yong Zhang, Zijun Cui, 2020, AAAI.

A Unified Probabilistic Approach Modeling Relationships between Attributes and Objects

Qiang Ji, Xiaoyang Wang, Q. Ji, 2013, 2013 IEEE International Conference on Computer Vision.

Active User Modeling and Assistance with Dynamic Bayesian Networks

Qiang Ji, Q. Ji, Xiangyang Li, 2002 .

Camera calibration with genetic algorithms

Qiang Ji, Yongmian Zhang, Yongmian Zhang, 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

Machine interpretation of CAD data for manufacturing applications

Qiang Ji, Michael M. Marefat, Q. Ji, 1997, CSUR.

Error propagation for the Hough transform

Qiang Ji, Robert M. Haralick, R. Haralick, 2001, Pattern Recognit. Lett..

An optimal Bayesian Hough transform for line detection

Qiang Ji, Robert M. Haralick, R. Haralick, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

Quantitative evaluation of edge detectors using the minimum kernel variance criterion

Qiang Ji, Robert M. Haralick, R. Haralick, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

An improved Hough transform technique based on error propagation

Qiang Ji, Robert M. Haralick, R. Haralick, 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

Novel Eye Gaze Tracking Techniques Under Natural Head Movement

Zhiwei Zhu, Qiang Ji, Q. Ji, 2007, IEEE Transactions on Biomedical Engineering.

Nonlinear Eye Gaze Mapping Function Estimation via Support Vector Regression

Zhiwei Zhu, Qiang Ji, Kristin P. Bennett, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Capturing Complex Spatio-temporal Relations among Facial Muscles for Facial Expression Recognition

Qiang Ji, Ziheng Wang, Shangfei Wang, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Context-Aware Feature and Label Fusion for Facial Action Unit Intensity Estimation With Partially Labeled Data

Yong Zhang, Baoyuan Wu, Yanbo Fan, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Shape-Driven Three-Dimensional Watersnake Segmentation of Biological Membranes in Electron Tomography

Qiang Ji, Hieu Tat Nguyen, H. Nguyen, 2008, IEEE Transactions on Medical Imaging.

A robust 3D eye gaze tracking system using noise reduction

Qiang Ji, Jixu Chen, Yan Tong, 2008, ETRA.

Robust Real-Time Face Pose and Facial Expression Recovery

Zhiwei Zhu, Qiang Ji, Q. Ji, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Real Time 3D Face Pose Tracking From an Uncalibrated Camera

Zhiwei Zhu, Qiang Ji, Q. Ji, 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

Non-intrusive Eye and Gaze Tracking for Natural Human Computer Interaction

Zhiwei Zhu, Qiang Ji, Q. Ji, 2003, MMI Interakt..

Real time 3D face pose discrimination based on active IR illumination

Qiang Ji, Xiaojie Yang, Q. Ji, 2002, Object recognition supported by user interaction for service robots.

Eye and gaze tracking for interactive graphic display

Zhiwei Zhu, Qiang Ji, Q. Ji, 2002, SMARTGRAPH '02.

3D Face pose estimation and tracking from a monocular camera

Qiang Ji, Q. Ji, 2002, Image Vis. Comput..

3D face pose discrimination using wavelets

Qiang Ji, Mukesh C. Motwani, Q. Ji, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

Viusal Cues Extraction for Monitoring Driver's Vigilance

Qiang Ji, George Bebis, G. Bebis, 1999 .

Cross-subject workload classification with a hierarchical Bayes model

Qiang Ji, Ziheng Wang, Wayne D. Gray, 2012, NeuroImage.

An EEG workload classifier for multiple subjects

Qiang Ji, Ziheng Wang, Wayne D. Gray, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Workload Classification Across Subjects Using EEG

Qiang Ji, Ziheng Wang, Wayne D. Gray, 2011 .

Weakly-Supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation

Qiang Ji, Weiming Dong, Bao-Gang Hu, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Hybrid Message Passing with Performance-Driven Structures for Facial Action Unit Detection

Qiang Ji, Tengfei Song, Zijun Cui, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Uncertain Graph Neural Networks for Facial Action Unit Detection

Qiang Ji, Tengfei Song, Wenming Zheng, 2021, AAAI.

Constrained Clustering and Its Application to Face Clustering in Videos

Qiang Ji, Yifan Zhang, Baoyuan Wu, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Local Causal Discovery of Direct Causes and Effects

Qiang Ji, Tian Gao, Q. Ji, 2015, NIPS.

Eye gaze tracking under natural head movements

Zhiwei Zhu, Qiang Ji, Q. Ji, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Automatic Eye Detection and Its Validation

Qiang Ji, Peng Wang, Matthew B. Green, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

Learning discriminant features for multi-view face and eye detection

Qiang Ji, Peng Wang, Q. Ji, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Shape Augmented Regression Method for Face Alignment

Qiang Ji, Yue Wu, Q. Ji, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

Face and Facial Expression Recognition from Real World Videos

Qiang Ji, Thomas B. Moeslund, Gang Hua, 2015, Lecture Notes in Computer Science.

PROBABILISTIC GRAPHICAL MODELS AND THEIR APPLICATIONS IN COMPUTER VISION

Lei Zhang, Qiang Ji, Yan Tong, 2009 .

A unified probabilistic graphical model and its application to image segmentation

Qiang Ji, Lei Zhang, Q. Ji, 2009 .

Non-Intrusive Measurement of Workload in Real-Time

Zhiwei Zhu, Qiang Ji, Wayne D. Gray, 2005 .

Hybrid video emotional tagging using users’ EEG and video content

Qiang Ji, Shangfei Wang, Yachen Zhu, 2014, Multimedia Tools and Applications.

A probabilistic framework for modeling and real-time monitoring human fatigue

Qiang Ji, Peilin Lan, C. Looney, 2006, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

Video Affective Content Analysis: A Survey of State-of-the-Art Methods

Qiang Ji, Shangfei Wang, Q. Ji, 2015, IEEE Transactions on Affective Computing.

Head Pose Estimation on Low-Quality Images

Qiang Ji, Yue Wu, Kang Wang, 2018, 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018).

Multiple Emotion Tagging for Multimedia Data by Exploiting High-Order Dependencies Among Emotions

Jun Wang, Qiang Ji, Ziheng Wang, 2015, IEEE Transactions on Multimedia.

Multiple emotional tagging of multimedia data by exploiting dependencies among emotions

Q. Ji, Shangfei Wang, Zhaoyu Wang, 2015, Multimedia Tools and Applications.

Exploiting multi-expression dependences for implicit multi-emotion video tagging

Jun Wang, Qiang Ji, Yongqiang Li, 2014, Image Vis. Comput..

Emotional tagging of videos by exploring multiple emotions' coexistence

Qiang Ji, Zhaoyu Wang, Shangfei Wang, 2013, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

A Novel Dynamic Model Capturing Spatial and Temporal Patterns for Facial Expression Analysis

Qiang Ji, Shi Yin, Jiajia Yang, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Task oriented facial behavior recognition with selective sensing

Qiang Ji, Yongmian Zhang, Haisong Gu, 2005, Comput. Vis. Image Underst..

Hierarchical Bayesian methods for recognition and extraction of 3-D shape features from CAD solid models

Qiang Ji, Michael M. Marefat, Q. Ji, 1997, IEEE Trans. Syst. Man Cybern. Part A.

Directed probabilistic graphical models

Qiang Ji, Q. Ji, 2020 .

Efficient learning of Bayesian networks with bounded tree-width

Qiang Ji, Cassio Polpo de Campos, Siqi Nie, 2017, Int. J. Approx. Reason..

Neuro-Inspired Eye Tracking With Eye Movement Dynamics

Qiang Ji, Hui Su, Kang Wang, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

3D gaze estimation without explicit personal calibration

Qiang Ji, Kang Wang, Q. Ji, 2018, Pattern Recognit..

Real time eye gaze tracking with Kinect

Qiang Ji, Kang Wang, Q. Ji, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

3D gaze estimation with a single camera without IR illumination

Qiang Ji, Jixu Chen, Q. Ji, 2008, 2008 19th International Conference on Pattern Recognition.

Exploring Domain Knowledge for Facial Expression-Assisted Action Unit Activation Recognition

Qiang Ji, Shangfei Wang, Guozhu Peng, 2020, IEEE Transactions on Affective Computing.

Capturing Feature and Label Relations Simultaneously for Multiple Facial Action Unit Recognition

Qiang Ji, Shan Wu, Shangfei Wang, 2019, IEEE Transactions on Affective Computing.

Facial Action Unit Recognition and Intensity Estimation Enhanced Through Label Dependencies

Qiang Ji, Shangfei Wang, Longfei Hao, 2019, IEEE Transactions on Image Processing.

Multiple Facial Action Unit recognition by learning joint features and label relations

Qiang Ji, Shan Wu, Shangfei Wang, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection

Qiang Ji, Yue Wu, Q. Ji, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Facial Action Unit Classification with Hidden Knowledge under Incomplete Annotation

Jun Wang, Qiang Ji, Shangfei Wang, 2015, ICMR.

Multiple-Facial Action Unit Recognition by Shared Feature Learning and Semantic Relation Modeling

Qiang Ji, Lihua Yue, Shangfei Wang, 2014, 2014 22nd International Conference on Pattern Recognition.

Attribute Augmentation with Sparse Coding

Xiaoyang Wang, Qiang Ji, Q. Ji, 2014, 2014 22nd International Conference on Pattern Recognition.

Capture expression-dependent AU relations for expression recognition

Jun Wang, Qiang Ji, Yue Liu, 2014, 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW).

A Unified Probabilistic Framework for Spontaneous Facial Action Modeling and Understanding

Qiang Ji, Jixu Chen, Yan Tong, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning Bayesian network parameters under incomplete data with domain knowledge

Qiang Ji, Wenhui Liao, Q. Ji, 2009, Pattern Recognit..

Exploiting qualitative domain knowledge for learning Bayesian network parameters with incomplete data

Qiang Ji, Wenhui Liao, Q. Ji, 2008, 2008 19th International Conference on Pattern Recognition.

Improving Bayesian Network parameter learning using constraints

Qiang Ji, Cassio Polpo de Campos, Q. Ji, 2008, 2008 19th International Conference on Pattern Recognition.

Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition

Qiang Ji, Yan Tong, Cassio Polpo de Campos, 2008, ECCV.

Expression-assisted facial action unit recognition under incomplete AU annotation

Qiang Ji, Shangfei Wang, Quan Gan, 2017, Pattern Recognit..

Automatic Facial Action Unit Recognition by Modeling Their Semantic And Dynamic Relationships

Qiang Ji, Yan Tong, Wenhui Liao, 2009, Affective Information Processing.

Efficient Markov Blanket Discovery and Its Application

Tian Gao, Qiang Ji, Q. Ji, 2017, IEEE Transactions on Cybernetics.

Constrained Local Latent Variable Discovery

Qiang Ji, Tian Gao, Q. Ji, 2016, IJCAI.

Effective line detection with error propagation

Qiang Ji, Yonghong Xie, Q. Ji, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

Facial Expression Recognition Using Deep Boltzmann Machine from Thermal Infrared Images

Qiang Ji, Shan He, Huan Fu, 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.

Real-time nonintrusive monitoring and prediction of driver fatigue

Zhiwei Zhu, Qiang Ji, Peilin Lan, 2004, IEEE Transactions on Vehicular Technology.

An evidential reasoning approach for recognizing shape features

Qiang Ji, Michael Mahmoud Marefat, Paul J. A. Lever, 1995, Proceedings the 11th Conference on Artificial Intelligence for Applications.

Real time and non-intrusive driver fatigue monitoring

Zhiwei Zhu, Qiang Ji, Q. Ji, 2004, Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749).

A Bayesian Network Model for Automatic and Interactive Image Segmentation

Qiang Ji, Lei Zhang, Q. Ji, 2011, IEEE Transactions on Image Processing.

DAGs with No Curl: An Efficient DAG Structure Learning Approach pdf

Qiang Ji, Tian Gao, Yue Yu, 2021, ICML.

Face Alignment With Kernel Density Deep Neural Network

Qiang Ji, Lisha Chen, Hui Su, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Modeling Temporal Interactions with Interval Temporal Bayesian Networks for Complex Activity Recognition

Qiang Ji, Yifan Zhang, Ziheng Wang, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Discriminative Deep Face Shape Model for Facial Point Detection

Qiang Ji, Yue Wu, Q. Ji, 2015, International Journal of Computer Vision.

Learning the Face Shape Models for Facial Landmark Detection in the Wild

Qiang Ji, Yue Wu, Q. Ji, 2014, FFER@ICPR.

A Hierarchical Probabilistic Model for Facial Feature Detection

Qiang Ji, Ziheng Wang, Yue Wu, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Enhancement of microtubules in EM tomography

Qiang Ji, Ming Jiang, Bruce F. McEwen, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Robust Pose Invariant Facial Feature Detection and Tracking in Real-Time

Zhiwei Zhu, Qiang Ji, Q. Ji, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Knowledge-Augmented Multimodal Deep Regression Bayesian Networks for Emotion Video Tagging

Qiang Ji, Shangfei Wang, Longfei Hao, 2020, IEEE Transactions on Multimedia.

Classifier Learning with Prior Probabilities for Facial Action Unit Recognition

Qiang Ji, Weiming Dong, Bao-Gang Hu, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

An open speech resource for Tibetan multi-dialect and multitask recognition

Xiali Li, Licheng Wu, Xiaona Xu, 2020, Int. J. Comput. Sci. Eng..

Multi-View Face Tracking with Factorial and Switching HMM

Qiang Ji, Peng Wang, Q. Ji, 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.

Capturing Dependencies among Labels and Features for Multiple Emotion Tagging of Multimedia Data

Qiang Ji, Shan Wu, Shangfei Wang, 2017, AAAI.

Audio-Visual Tibetan Speech Recognition Based on a Deep Dynamic Bayesian Network for Natural Human Robot Interaction:

Hui Wang, Yue Zhao, Qiang Ji, 2012 .

A generative restricted Boltzmann machine based method for high-dimensional motion data modeling

Qiang Ji, Ziheng Wang, Siqi Nie, 2015, Comput. Vis. Image Underst..

Learning-by-synthesis for accurate eye detection

Qiang Ji, Fei-Yue Wang, Yue Wu, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Bayesian Hierarchical Dynamic Model for Human Action Recognition

Rui Zhao, Hui Su, Qiang Ji, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Parallel Medical Imaging for Intelligent Medical Image Analysis: Concepts, Methods, and Applications.

Qiang Ji, Fei-Yue Wang, Chao Gou, 2019, 1903.04855.

A Comparative Study of Local Matching Approach for Face Recognition

Qiang Ji, Jie Zou, George Nagy, 2007, IEEE Transactions on Image Processing.

Self-calibration of a rotating camera with a translational offset

Qiang Ji, Songtao Dai, Q. Ji, 2004, IEEE Transactions on Robotics and Automation.

An information theoretic feature selection framework based on integer programming

Qiang Ji, Tian Gao, Siqi Nie, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

A level set-based global shape prior and its application to image segmentation

Qiang Ji, Lei Zhang, Q. Ji, 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

A new global shape prior for level set based segmentation

Qiang Ji, Lei Zhang, Q. Ji, 2008, 2008 19th International Conference on Pattern Recognition.

Active Image Labeling and Its Application to Facial Action Labeling

Qiang Ji, Lei Zhang, Yan Tong, 2008, ECCV.

An Adversarial Hierarchical Hidden Markov Model for Human Pose Modeling and Generation

Qiang Ji, Rui Zhao, Q. Ji, 2018, AAAI.

Prediction-CGAN: Human Action Prediction with Conditional Generative Adversarial Networks

Jian Yu, Qiang Ji, Wanru Xu, 2019, ACM Multimedia.

2013 10th IEEE International Conference and workshops on Automatic Face and Gesture Recognition (FG)

Rama Chellappa, Lijun Yin, Qiang Ji, 2013 .

Facial Feature Tracking Under Varying Facial Expressions and Face Poses Based on Restricted Boltzmann Machines

Qiang Ji, Yue Wu, Zuoguan Wang, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Enhancing multi-label classification by modeling dependencies among labels

Jun Wang, Qiang Ji, Zhaoyu Wang, 2014, Pattern Recognit..

An Image Segmentation Framework Based on Patch Segmentation Fusion

Xun Wang, Qiang Ji, Lei Zhang, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Bayesian Networks and the Imprecise Dirichlet Model Applied to Recognition Problems

Qiang Ji, Cassio Polpo de Campos, Q. Ji, 2011, ECSQARU.

Eye and gaze tracking for interactive graphic display

Q. Ji, Zhiwei Zhu, 2002, Smart Graphics.

Nonlinear Subspace Clustering via Adaptive Graph Regularized Autoencoder

Junbin Gao, Yongli Hu, Baocai Yin, 2019, IEEE Access.

Simultaneous Facial Feature Tracking and Facial Expression Recognition

Qiang Ji, Yongqiang Li, Shangfei Wang, 2013, IEEE Transactions on Image Processing.

Content-Based Video Emotion Tagging Augmented by Users’ Multiple Physiological Responses

Qiang Ji, Shangfei Wang, Shiyu Chen, 2019, IEEE Transactions on Affective Computing.

Weakly Supervised Facial Action Unit Recognition With Domain Knowledge

Qiang Ji, Shangfei Wang, Guozhu Peng, 2018, IEEE Transactions on Cybernetics.

Probabilistic gaze estimation without active personal calibration

Qiang Ji, Jixu Chen, Q. Ji, 2011, CVPR 2011.

Computational Resource Constrained Deep Learning Based Target Recognition from Visible Optical Images

Qiang Ji, Jia Zhai, Hao-guang Zhao, 2018, J. Inf. Hiding Multim. Signal Process..

Active affective State detection and user assistance with dynamic bayesian networks

Qiang Ji, Xiangyang Li, Q. Ji, 2005, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

The Deep Regression Bayesian Network and Its Applications: Probabilistic Deep Learning for Computer Vision

Qiang Ji, Meng Zheng, Siqi Nie, 2018, IEEE Signal Processing Magazine.

Image object extraction with shape and edge-driven Markov random field model

Wei Zhang, Qiang Ji, Xili Wang, 2014, IET Image Process..

Signal Timing Estimation Using Sample Intersection Travel Times

Qiang Ji, Peng Hao, Kristin P. Bennett, 2012, IEEE Transactions on Intelligent Transportation Systems.

Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos

Qiang Ji, Baoyuan Wu, Bao-Gang Hu, 2013, 2013 IEEE International Conference on Computer Vision.

Cross-domain AU Detection: Domains, Learning Approaches, and Measures

Lijun Yin, Qiang Ji, Jeffrey F. Cohn, 2019, 2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019).

Structure learning of Bayesian networks using constraints

Qiang Ji, Zhi Zeng, Cassio Polpo de Campos, 2009, ICML '09.

A Decoder-Free Variational Deep Embedding for Unsupervised Clustering

Q. Ji, Baocai Yin, Junbin Gao, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Active facial tracking for fatigue detection

Zhiwei Zhu, Qiang Ji, Haisong Gu, 2002, Sixth IEEE Workshop on Applications of Computer Vision, 2002. (WACV 2002). Proceedings..

Spatio-Temporal Deep Q-Networks for Human Activity Localization

Qiang Ji, Zhenjiang Miao, Wanru Xu, 2020, IEEE Transactions on Circuits and Systems for Video Technology.

Deep Reinforcement Learning for Weak Human Activity Localization

Jian Yu, Qiang Ji, Wanru Xu, 2020, IEEE Transactions on Image Processing.

Strategy Selection in Influence Diagrams using Imprecise Probabilities

Qiang Ji, Cassio Polpo de Campos, Q. Ji, 2008, UAI.

Robust Partial Fingerprint Recognition

Naveen Ramakrishnan, Q. Ji, G. Medioni, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Towards an Accurate 3D Deformable Eye Model for Gaze Estimation

J. Kephart, Q. Ji, Chenyi Kuang, 2022, ICPR Workshops.

A factor tree inference algorithm for Bayesian networks and its applications

Qiang Ji, Weihong Zhang, Wenhui Liao, 2004, 16th IEEE International Conference on Tools with Artificial Intelligence.

Posed and spontaneous expression recognition through modeling their spatial patterns

Q. Ji, Shangfei Wang, Menghua He, 2015, Machine Vision and Applications.

Capturing Global and Local Dynamics for Human Action Recognition

Qiang Ji, Siqi Nie, Q. Ji, 2014, 2014 22nd International Conference on Pattern Recognition.

Robust Face Tracking via Collaboration of Generic and Specific Models

Qiang Ji, Peng Wang, Q. Ji, 2008, IEEE Transactions on Image Processing.

Multiview Facial Feature Tracking with a Multi-modal Probabilistic Model

Qiang Ji, Yan Tong, Q. Ji, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals

Qiang Ji, Gerwin Schalk, Zuoguan Wang, 2011, NIPS.

Decoding Finger Flexion from Electrocorticographic Signals Using a Sparse Gaussian Process

Qiang Ji, Gerwin Schalk, Kai J. Miller, 2010, 2010 20th International Conference on Pattern Recognition.

Data-Free Prior Model for Upper Body Pose Estimation and Tracking

Q. Ji, Jixu Chen, S. Nie, 2013, IEEE Transactions on Image Processing.

ACTIVITY MODELING AND RECOGNITION USING PROBABILISTIC GRAPHICAL MODELS

Zhi Zeng, Qiang Ji, Xiaoyang Wang, 2011 .

A hierarchical framework for simultaneous facial activity tracking

Qiang Ji, Jixu Chen, Q. Ji, 2011, Face and Gesture 2011.

2D and 3D upper body tracking with one framework

Qiang Ji, Lei Zhang, Jixu Chen, 2008, 2008 19th International Conference on Pattern Recognition.

Dynamic Facial Expression Analysis and Synthesis With MPEG-4 Facial Animation Parameters

Zhiwei Zhu, Qiang Ji, Beifang Yi, 2008, IEEE Transactions on Circuits and Systems for Video Technology.

International Journal of Advanced Robotic Systems Audio-Visual Tibetan Speech Recognition Based on a Deep Dynamic Bayesian Network for Natural Human Robot Interaction Regular Paper

Q. Ji, Hui Wang, Yue Zhao, 2012 .

A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation

Qiang Ji, Rui Zhao, Kang Wang, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Active information fusion for decision making under uncertainty

Qiang Ji, Carl G. Looney, Yongmian Zhang, 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

Information fusion with Bayesian networks for monitoring human fatigue

Qiang Ji, Carl G. Looney, Peilin Lan, 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

A Probabilistic Approach to Online Eye Gaze Tracking Without Explicit Personal Calibration

Qiang Ji, Jixu Chen, Q. Ji, 2015, IEEE Transactions on Image Processing.

A near-optimal non-myopic active learning method

Yue Zhao, Qiang Ji, Xiaona Xu, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

An Immersive System with Multi-Modal Human-Computer Interaction

Qiang Ji, Rui Zhao, Kang Wang, 2018, 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018).

Image compression using a self-organized neural network

Qiang Ji, Q. Ji, 1997, Electronic Imaging.

Sequence-based bias analysis of spontaneous facial expression databases

Jun Wang, Qiang Ji, Zhaoyu Wang, 2014, 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW).

Thermal Augmented Expression Recognition

Qiang Ji, Huaping Chen, Shangfei Wang, 2018, IEEE Transactions on Cybernetics.

A Multimodal Deep Regression Bayesian Network for Affective Video Content Analyses

Qiang Ji, Shangfei Wang, Quan Gan, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Hierarchical Context Modeling for Video Event Recognition

Qiang Ji, Xiaoyang Wang, Q. Ji, 2017, IEEE Trans. Pattern Anal. Mach. Intell..

A Unified Probabilistic Framework for Spontaneous Facial Action Modeling and Understanding

Q. Ji, Jixu Chen, Yan Tong, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning Bayesian Networks with Bounded Tree-width via Guided Search

Qiang Ji, Cassio Polpo de Campos, Siqi Nie, 2016, AAAI.

Advances in Learning Bayesian Networks of Bounded Treewidth pdf

Qiang Ji, Denis Deratani Mauá, Cassio Polpo de Campos, 2014, NIPS.

Drowsy Driver Posture, Facial, and Eye Monitoring Methods

Qiang Ji, Jixu Chen, Q. Ji, 2012 .

Bayesian approach for extracting and identifying features

Qiang Ji, Michael M. Marefat, Q. Ji, 1995, Comput. Aided Des..

Properties of Bayesian Dirichlet Scores to Learn Bayesian Network Structures

Qiang Ji, Cassio Polpo de Campos, Q. Ji, 2010, AAAI.

Posed and Spontaneous Expression Distinction Using Latent Regression Bayesian Networks

Q. Ji, Shangfei Wang, Longfei Hao, 2020, ACM Trans. Multim. Comput. Commun. Appl..

Deep Regression Bayesian Network and Its Applications pdf

Qiang Ji, Meng Zheng, Siqi Nie, 2017, ArXiv.

Facial expression understanding in image sequences using dynamic and active visual information fusion

Qiang Ji, Yongmian Zhang, Yongmian Zhang, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.