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Qiang Ji


last update, 10/22
/2008




1



Major Publications


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s
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Facial E
xpression model
ing, A
nalysis

and

R
ecognition

1.

Yan Tong, Wenhui Liao, and Qiang Ji,
Facial Action Unit Recognition by Exploiting
Their
Dynamic and Semantic

Relationships
, IEEE Transactions on Pattern Analysis and
Machine Intelligence,

Vol. 29, No. 10, p1683
-
1699, October 2007
.

2.

Yan Tong, Wenhui Liao, Zheng Xue and Qia
ng Ji,
A Unified Probabilistic Framework
for Spontaneous Facial Activity Modeling and Understanding
, IEEE Conference on
Computer Vision and Pattern Recognition (CVPR), 2007.

3.

Yang Tong, Jixu Chen and Qiang Ji,
A Unified Probabilistic Framework for Spontaneous
Facial Action Modeling and Understanding
,

IEEE Transactions on Pattern Analysis and
Machine Intelli
gence, under
minor
revision.

4.

Lei Zhang, Yan Tong, and Qiang Ji,
Active Image Labeling and Its Application to Facial
Action Labeling
, European Conference on Computer Vision, 200
8.

5.

Yongmian Zhang, and Qiang Ji,
Facial Expression Recognition with Dynamic Bayesian
Networks
, IEEE Transactions on Pattern Recognition and Machine Intelligence, Vol. 27,
No. 5, pp. 69
9
-
714, 2005.


Facial Feature Detection and Tracking

6.

Yan Tong and Qiang Ji,
Robust Facial Feature Tracking under Varying Face Pose and
Facial Expression
, Pattern Recognition, Vo
l. 40, No. 11, pp. 3195
-
3208, 2007.

7.

Zhiwei Zhu and Qiang Ji,
Robust Pose Invariant Facial Feature Detection and Tracking in
Real
-
Time,

the 18th International Confer
ence on Pattern Recognition (ICPR), Hongkong,
pp. 1092

1095, August, 2006.


Face Detection and Tracking, and R
ecognition

8.

Jie Zou, Qiang Ji, and George Nagy,
A Comparative Study of Local M
atching Approach
for Face Recognition
, IEEE Transactions on Image Processing,

Oct., page 2617
-
2628,
2007.

9.

Peng Wang, Qiang Ji, and James Wayman,
Modeling and Predicting Face Recogni
tion

System Performance Based on Analysis of Similarity Scores
, IEEE Transactions on
Pattern Analysis and Machine Intelligence,
Vol. 29, No.4, pp. 665
-
670, April 2007
.

10.

Peng Wang and Qiang Ji,
Multi
-
View Face and Eye Detection Using Discriminant
Features, Computer Vision and Image Understanding,

vol. 105, Issue 2, pp. 99
-
111, 2007.

11.

Peng Wang and Qiang Ji,
R
obust Face Tracking via Collaboration of Generic and
Specific Models,

IEEE Transactions on Image Processing, Vol. 17, Issue 7, pp. 1189
-
1199, July, 2008.

12.

Zhiwei Zhu, Wenhui Liao, and Qiang Ji,
Robust Visual Tracking Using Case
-
Based
Reasoning with Confidence
, IEEE Conference on Computer Vision and Pattern
Recognition (CVPR), pp. 806
-
816, 2006, New York city.


Object Detection and Tracking

Qiang Ji


last update, 10/22
/2008




2


13.

Hieu Nguyen, Qiang Ji and Anorld Smeulders,

Robust Multi
-
target Tracking Using
Spatio
-
temporal Context
, IEEE Transactions on Pattern Analysis and Machine
Intelligence,
Vol. 29, No. 1, pp52
-
64, 2007.


Eye
Detection and
Trac
king

14.

Zhiwei Zhu and Qiang Ji,
Robust Real
-
time Eye Detection and Tracking Under Variable
Lighitng Conditions and Various Face Orientations
, Computer Vision and Image
Understanding, Pag
es 124
-
154, Vol. 38, No. 1, 2005.

15.

Peng Wang, Matthew B. Green, Qiang Ji, and James Wayman,
Automatic Eye Detection
and Its Validation
, IEEE Workshop on Face Recognition Grand Chall
enge Experiments
(with CVPR), San Diego, CA, June 2005

16.

Zhiwei Zhu and Qiang Ji,
Eye and Gaze Tracking for Interactive Graphic Display,
Machine Vision and Application
, Volume 15, Number 3,
Pages 139
-
148, July 2004.

17.

Zhiwei Zhu and Qiang Ji,
Novel Eye Gaze Tracking Techniques Under Natural Head
Movement, IEEE Transactions on Biomedical Engineering
, 54(12), p2246
-
60,20
07.

18.

Jixu Chen, Wayne Gray, and Qiang Ji,
A Robust 3D Eye Gaze Tracking System using
Noise Reduction
,
Eye Tracking Research & Applications Symposium 2008.



Image Segmentation

19.

Tat
-
Hi
eu Nguyen and Qiang Ji,
Shape
-
driven Three
-
dimensional Watersnake
Segmentation of Biological Images in Electron Tomography
, IEEE Transactions on
Medical Imaging, Vol. 27, No. 5,
pp. 616
-
628, 2008.

20.

Ming Jiang, Qiang Ji, and Bruce McEwen,
Automated Extraction of Fine
-
features of
Kinetochore Microtubules and Plus
-
ends from Electron Tomography Volume
, IEEE
Transactions on Image Processing,
p2035
-
2048, Vol. 15, No.7, July, 2006.

21.

Lei Zhang and Qiang Ji,
Integration of Multiple Contextual Information for Image
Segmentation using a Bayesian Net
work
, International Workshop on Semantic Learning
Applications in Multimedia (SLAM), 2008.


Performance C
haracterization

22.

Qiang Ji and Yonghong Xie,
Randomized Hough Transform with Error Propag
ation for
Line and Circle Detection
, Pattern Analysis and Application, Vol. 8, No. 1, Pages 55
-
64,
2003.

23.

Qiang Ji and Robert M. Haralick,
Error Propagation for Computer Vision Perfor
mance
Characterization
,
International Conference on Imaging Science, Systems, and
Technology, Pages 112
-
118, Las Vegas, June, 1999.

24.

Qiang Ji and Robert M. Haralick,
Efficient Facet Edge Detection

and Quantitative
Performance Evaluation, Pattern Recognition
, Vol. 35, No. 3, pp 689
-
700, 2002.

25.

Qiang Ji and Robert M. Haralick,
Error Propagation for the Hough Transform
, vol. 22, pp
81
3
-
823, Pattern Recognition Letters, 2001.

26.

Qiang Ji and R. M. Haralick,
Breakpoint Detection Using Covariance Propagation, IEEE
Transactions on Pattern Analysis and Machine Intelligence
, pp84
5
-
851, Vol. 20, No. 8,
1998.

27.

Qiang Ji, A Three Dimensional Computer Vision System for Inspecting the Geometric

Qiang Ji


last update, 10/22
/2008




3


Tolerances of Circular Machine Features

Ph.D dissertation, , University of Washington,
1998.


Probabilistic Graphical Models

28.

Cassio de Campos,
Constraints on priors and on estimations for learning Bayesian
network parameters
, International Conference on Pattern Recognition, 2008.

29.

Cassio de Campos, Yan Tong, and Qiang J
i,
Exploiting Qualitative Constraints for
Learning Bayesian Network Parameters
, European Conference on Computer Vision
(ECCV),2008.

30.

Cassio de Campos and Qiang Ji, Strategy
Selection in Influence Diagrams using
Imprecise Probabilities,

the 24th Conference on Uncertainty in Artificial Intelligence
(UAI), 2008.

31.

Yan Tong and Qiang Ji,
Learning Bayesian Networks with Qualitative Constraints
, IEEE
Conference on Computer Vision and Pattern Recognition (CVPR), 2008.

32.

Wenhui Liao, Weihong Zhang, and Qiang Ji,
A Factor Tree Inference Algorithm for
Bayesian Networks and its Application
, the 16th IEEE International Conference on Tools
with Artificial Intelligence, pp. 652
-
656, Nov., 2004.

33.

Weihong Zhang and Qiang Ji,
A Factorization Approach To Evaluating Simultaneous
Influence Diagrams,

IEEE Transactions on Systems, Man, and Cybernetics A, p746
-
754,
Vol. 36, No. 4, July,2006.


Active Information Fusion

34.

Yongmian Zhang and Qiang J
i,
Active and Dynamic Information Fusion for Multisensor
Systems under Dynamic Bayesian Networks
, IEEE Transactions on Systems, Man, and
Cybernetics B, pp467
-
472, April, 2006.

35.

Wenhui

Liao and Qiang Ji, Efficient
Non
-
myopic Value
-
of
-
Information Computation For
Influence Diagrams, Int. J. Approximate Reasoning
, in press,

2008.

36.

Wenhui Liao and Qiang Ji,
Efficient Active Fusion for Decision
-
making via VOI
Approximation
, Twenty
-
First National Conference on Artificial Intelligence (AAAI
-
06),
pp. 1180
-
1185, Boston, Massachusetts.

37.

Yongmian Zhang and Qiang Ji,

An Approximation to Nonmyopic Sensor Selection for
Active Information Fusion
, accepted by IEEE Transactions on Systems, Man, and
Cybernetics Part B.

38.

Yongmian Zhang and Qia
ng Ji,
Sensor Selection for Active Information Fusion
, the 20th
National Conference on Artificial Intelligence (AAAI
-
05), pp. 1229
-
1234, July 2005,
Pittsburgh, Pennsylvania.

39.

Wenhui Liao, Q
iang Ji, and William Wallace,
Approximate Nonmyopic Sensor Selection
Via Submodularity and Partitioning,

accepted by IEEE Transactions on Systems, Man,
and Cybernetics
Part A.

40.

Weihong Zhang and Qiang Ji,
A Factorization Approach To Evaluating Simultaneous
Influence Diagrams
, IEEE Transactions on Systems, Man, and Cybernetics A, p746
-
754,
Vol. 36, No. 4, July,20
06.


Applications

41.

Wenhui Liao, Weihong Zhang, Zhiwei Zhu, Qiang Ji, and Wayne Gray,
Toward
s

a
Qiang Ji


last update, 10/22
/2008




4


Decision
-
Theoretic Framework for Affect Recognition and User Assistance
, International
Journal of Huma
n
-
Computer Studies
, Vol. 64, p847
-
873, 2006.

42.

Qiang Ji, Peilin Lan, and Carl Looney,
A Probabilistic Framework for Modeling and
Real
-
Time Monitoring Human Fatigue
, IEEE Transactions on Syste
ms, Man, and
Cybernetics Part A, Vol. 36, No.35, p862
-
875, 2006.

43.

Qiang Ji, Zhiwei Zhu, and
Peilin Lan, Real Time Non
-
intrusive Monitoring and
Prediction of Driver Fatigue,

IEEE Trans. Veh
icle
Te
chnology, Vol. 53, No. 4, Pages
1052
-
1068, July, 2004.

44.

DOT report on Emerging Technologies for driver fatigue
monitoring
, 2006.


Other Significant Publications

45.

Yongmian Zhang, Qiang

Ji, Zhiwei Zhu, and Beifang Yi,
Dynamic Facial Expression
Analysis and Synthesis with MPEG
-
4 Facial Animation Parameters
, IEEE Transactions
on Circuits and Systems for Video Tech
nology, in press, 2008.

46.

Qiang Ji and Songtao Dai,
Self
-
calibration of a Rotating Camera with Translational
Offset
, IEEE Transactions on Robotics and Automation, Vol. 20, No. 1,Pages 1
-
14,
Feb
ruary, 2004.

47.

Qiang Ji, John Engel, and Eric Craine,
Texture Analysis for Classification of Cervix
Lesions, IEEE Tran. on Medical Imaging,

pp1144
-
1149, Nov., 2000

48.

Qiang Ji, Mauro S. Costa, Ro
bert M. Haralick, Linda G. Shapiro,
A Robust Linear Least
-
Squares Estimation of Camera Exterior Orientation Using Multiple Geometric Features
,
ISPRS Journal Of Photogrammetry and Remote Sens
ing
, (55) 2 pp. 75
-
93,2000.

49.

Brian Craine, Eric Craine,
Cynthia O'Toole, and Qiang Ji, Digital Imaging Colposcopy:
Corrected Area Measurements Using Shape
-
From
-
Shading
,
IEEE Transactions on
Me
dic
maging, pp1003
-
1010, V. 17 n 6 Dec 1998.