Co-Director of the Lab for Perception, Action and Cognition (LPAC).
Associate Professor of Computer Science and Engineering and Electrical Engineering, College of Engineering, Penn State University
New
Student Recruiting: we are always looking for devoted Ph.D. student applicants who are well
versed in CV/CG and PRML in general, and motivated to develop novel/rigorous
algorithms for pattern discovery from real,
large, interdisciplinary data sets in particular.
Four
Gold-medalist at The International Chinese Martial
Arts Championship 2012
NSF Award – INSPIRE (CREATIV): Symmetry Group-based
Regularity Perception in Human and Computer Vision
Teaching:
Fall 2012
Theoretical, Computational and Experimental Regularity on
Interdisciplinary, Large Data Sets
(CSE 598D, 2-5pm W, Leonhard 101, #schedule = 946924)
This is a course on computational methods for real
world digital data, that is across scale, modality and
application domains. We aim at automatic pattern discovery, comparison and
learning. The content is based on a unique combination of group theory,
statistical learning theory, and human/animal perception, with an emphasis on discovering
visually appealing patterns automatically and hands-on trainings on large data
sets.
A related course taught last fall: COMPUTATIONAL REGULARITY
Course content will also be drawn from a successful
US NSF and NSFC supported summer school on Vision, Learning and
Pattern Recognition (VLPR 2012) with a theme of “Computer Vision in
Biomedical Image Applications”
This course will not be offered again before 2015.
Computer Graphics (undergraduate/graduate
level, CMPSC 458 4:15-5:30pm TR)
Spring 2012
Pattern Recognition: Principles and Applications
(Graduate Level)
Book: Pattern Recognition and Machine Learning by
Christopher M. Bishop
CSE 583/EE 552 of Spring 2012
Location: 222 IST
Time: Tuesdays and Thursdays from 2:30-3:45 PM.
Tentative syllabus.
Service:
Co-director for the Vision, Learning, and
Pattern Recognition Summer School in Shanghai (VLPR 2012). Sponsors:
US NSF, NSFC, Fudan University, Industry sponsors.
Workshop co-Chair for the 11th Asian
Conference on Computer Vision ACCV 2012
Curved Glide-Reflection Symmetry Detection
Seungkyu Lee and Yanxi Liu
The IEEE Transaction on Pattern Analysis
and Machine Intelligence (TPAMI),
February 2012
Volume 34, Number 2, Pages 266-278
[PDF]
[Project
Page]
Statistical Asymmetry-based Brain Tumor Segmentation from 3D MR
Images
Chenping Yu, Guilherme C. S. Ruppert, Dan T.
D. Nguyen, Alexandre X. Falcao,
and Yanxi Liu.
5th
international joint conference on biomedical engineering systems and
technologies, 2012.
[PDF]
Local Expert Forest of Score
Fusion for Video Event Classification
Jingchen Liu, Scott McCloskey
and Yanxi Liu.
European Conference on
Computer Vision (ECCV), pages 1-14.
Radiological Society of North America (RSNA 2011):
Supervised Machine
Learning for Brain Tumor Detection in Structural MRI
Koshy, Yu,
Nguyen (MD), Kashyap, Collins, Liu
A New Symmetry-Based Method For Mid-Sagittal Plane
Extraction In Neuroimages
Guilherme Ruppert and Leonid Teverovskiy
and Chen-Ping Yu and Alexandre Falcão
and Yanxi Liu
IEEE International Symposium on
Biomedical Imaging (ISBI) 2011.
Pages 285-288.
-- New Course (Fall 2011): Computational Regularity, CSE 598G
-- Research Seminar, Chinese University of Hong Kong, University
of Science and Technology, Hong Kong (February, 2010)
CVPR 2010 papers:
o
Multi-Target
Tracking of Time-varying Spatial Patterns by
Jingchen Liu and Yanxi Liu
o
Data
Driven Mean-Shift Belief Propagation For non-Gaussian MRFs by Minwoo Park,
Somesh Kashyap, Robert T.
Collins and Yanxi Liu
·
Curved
Reflection Symmetry Detection with Self-Validation
Jingchen Liu and Yanxi Liu
·
Image
De-fencing Revisited
Minwoo Park and Kyle Brocklehurst
and Robert T. Collins and Yanxi Liu
·
Translation-Symmetry-based
Perceptual Grouping with Applications to Urban Scenes
Minwoo Park and Kyle Brocklehurst
and Robert T. Collins and Yanxi Liu
The PSU Near-Regular Texture
Database is formally released! You are invited to visualize, download and
submit photos containing regular, near-regular and irregular textures!
Edited book (LNCS, Springer) on
"Computer
Vision for Biomedical Image Applications: Current Techniques and Future
Trends" is available! If you are interested in obtaining a copy,
contact yanxi!
Invited Speaker for Content-based
Image retrieval for Biomedical Image Archives (MICCAI 2007)
Selected Recent Publication
2012

Curved
Glide-Reflection Symmetry Detection
Seungkyu Lee and Yanxi Liu
The IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI) 2012
February.
Volume 34, Number 2, Pages 266-278
Statistical Asymmetry-based Brain Tumor Segmentation from
3D MR Images
Chenping Yu, Guilherme C.
S. Ruppert, Dan T. D. Nguyen, Alexandre
X. Falcao, and Yanxi Liu
Proceedings of the 5th International Conference on Bio-inspired Systems and
Signal Processing, 2012
Pages 527-533
Algarve, Portugal; Feb 2012; DOI: 10.5220/0003892205270533
[PDF]
[Project
Page]
2011
A New Symmetry-Based Method For Mid-Sagittal Plane Extraction
In Neuroimages
Guilherme Ruppert and
Leonid Teverovskiy and Chen-Ping Yu and Alexandre Falcão and Yanxi Liu
IEEE International Symposium on Biomedical Imaging (ISBI) 2011
Pages 285-288
[PDF]
[Project
Page]

Surveillance
Camera Autocalibration based on Pedestrian Height
Distributions
Jingchen Liu and Robert T. Collins and Yanxi Liu
British Machine Vision Conference (BMVC) 2011
Pages 1-11
[PDF]
[Video]
2010
A SURVEY
PAPER: Computational Symmetry in Computer Vision and
Computer Graphics
Yanxi Liu and Hagit
Hel-Or and Craig S. Kaplan and Luc Van Gool
Foundations and Trends® in Computer Graphics and Vision 2010
Volume 5
Number 1-2
Pages: 1- 195
[PDF]
[Project Page]
Skewed Rotation Symmetry Group Detection
Seungkyu Lee and Yanxi Liu
Pattern Analysis and Machine Intelligence (PAMI) 2010
Volume 32
Number 9
Pages 1659 - 1672
[PDF]
Translational Symmetry-based Perceptual Grouping with
Applications to Urban Scenes
Minwoo Park and Kyle Brocklehurst
and Robert T. Collins and Yanxi Liu
Asian Conference on Computer Vision (ACCV) 2010
[PDF]
Curved Reflection Symmetry Detection with Self-validation
Jingchen Liu and Yanxi Liu
Asian Conference on Computer Vision (ACCV) 2010
[PDF]
[Project
Page]
Image De-fencing Revisited
Minwoo Park and Kyle Brocklehurst
and Robert T. Collins and Yanxi Liu
Asian Conference on Computer Vision (ACCV) 2010
[PDF]
Multi-Target Tracking of Time-Varying Spatial Patterns
Jingchen Liu and Yanxi Liu
Computer Vision and Pattern Recognition (CVPR) 2010
Pages 1-8
[PDF]
[Project
Page]
[Video]
Data Driven
Mean-Shift Belief Propagation For non-Gaussian MRFs
Minwoo Park and Somesh Kashyap and Robert T. Collins and Yanxi Liu
Computer Vision and Pattern Recognition (CVPR) 2010
Pages 1-8
[PDF]
[Project
Page]
2009
Deformed Lattice Detection in Real-World Images using
Mean-Shift Belief Propagation M. Park, K. Brocklehurst,
R. T. Collins, and Yanxi Liu. IEEE TPAMI.
Curved
Glide-Reflection Symmetry Detection S. Lee and Y. Liu, CVPR
2009 oral presentation. (most viewed, 3262 at sciweavers 10/14/12)2008
Deformed
Lattice Detection via Mean-Shift Belief Propagation
M. Park, R. Collins, and Y. Liu
European Conference on Computer Vision (ECCV), October,
2008.
[PDF] [Project Page]
Seungkyu Lee, Robert T. Collins and Yanxi Liu, "Rotation Symmetry Group Detection
Via Frequency Analysis of Frieze-Expansions," Computer Vision and
Pattern Recognition Conference (CVPR '08)
[PDF] [Project Page]
Yanxi
Liu, Tamara Belkina, James H. Hays, and Roberto Lublinerman, "Image De-fencing," Computer
Vision and Pattern Recognition Conference (CVPR '08)
[PDF] [Project Page]
Minwoo Park, Seungkyu Lee, Po-Chun Chen, Somesh Kashyap, Asad A. Butt and Yanxi Liu, "Performance Evaluation of
State-of-the-Art Discrete Symmetry Detection Algorithms," Computer
Vision and Pattern Recognition Conference (CVPR '08)
[PDF] [Project Page]
Minwoo Park, Yanxi Liu and Robert T. Collins, "Efficient Mean Shift Belief
Propagation for Vision Tracking," Computer Vision and Pattern
Recognition Conference (CVPR '08)
[PDF]
Grant
Schindler, Panchapagesan Krishnamurthy, Roberto Lublinerman, Yanxi Liu and Frank Dellaert,
"Detecting and Matching Repeated Patterns for Automatic Geo-tagging in Urban
Environments," Computer Vision and Pattern Recognition Conference
(CVPR '08)
Leonid Teverovskiy,
James Becker, Oscar Lopez, Yanxi Liu, "QUANTIFIED BRAIN ASYMMETRY FOR AGE ESTIMATION OF NORMAL AND AD/MCI
SUBJECTS," 5th IEEE International Symposium on Biomedical Imaging:
From Nano to Macro. May 14-17, 2008. Paris, France.
Brian A. Canada, Georgia K.
Thomas, Keith C. Cheng, James Z. Wang and Yanxi Liu ``Automatic Lattice Detection in
Near-Regular Histology Array Images,'' In Proceedings of the IEEE International
Conference on Image Processing, San
Diego, California, IEEE, October 2008.
Brian A. Canada, Georgia K.
Thomas, Keith C. Cheng, James Z. Wang and Yanxi Liu ``Towards Efficient Automated Characterization
of Irregular Histology Images via Transformation to Frieze-Like Patterns,''
In Proceedings of the ACM International Conference on
Image and Video Retrieval, Niagara
Falls, Canada, ACM, July 2008.
* Computational
Symmetry and Group Theory Applications, including image/video analysis of
brains, faces, gaits, dance (computer vision), mechanical and kinematic
assemblies (robotics), periodical and near-regular patterns (pattern
recognition), and texture analysis, classification and synthesis (computer
graphics).
http://vision.cse.psu.edu/research/research.shtml
* Discriminative subspace exploration for reduction and selection (machine learning), including large biomedical image database indexing and retrieval, classification, CAD for early detection of neurodegenerative diseases, target tracking and deformable registration.
http://vision.cse.psu.edu/research/research.shtml
http://www.cs.cmu.edu/afs/cs.cmu.edu/user/yanxi/www/images/medical_image.html
A quotation from Yan-Xi-Shan (unrelated to Yan-Xi Liu) 
--- Frank
Zappa, The Real Frank Zappa Book
竹叶青
