Yanxi Liu's Home Page
Professor
Computer
Science and Engineering and Electrical
Engineering, College of Engineering,
Penn State University
Center for
Brain, Behavior, and Cognition
The Huck Institutes of the Life
Sciences
Co-Director
Lab for Perception, Action and Cognition (LPAC).
Address and Phone Numbers
Dr. Yanxi Liu338B IST Building
Office: (814) 865-7495
Email:
What's new
2017
ICCV 2017 paper
Beyond Planar Symmetry:
Modeling human perception of reflection and rotation
symmetries in the wild
(Oral
Presentation)
ICCV 2017
Challenge: Detecting Symmetry
in the Wild
Program
Chair for Computer Vision and Pattern Recognition Conference
Visiting
Professor at Computer Science Department of ETH, Zurich
2016
Patent/Publication/Presentation
Keynote Speaker
Digital Image Computing: Techniques and Applications
Gold Coast, Queensland, Australia
SYMMETRY-BASED INTERPOLATION IN
IMAGES United States 14/487,658
Issued January 19, 2016
U.S.
Patent No. 9,240,055.
Entrance detection from street-level
imagery United States 14/298,932
Issued January 12, 2016
U.S.
Patent No. 9,235,775.
Representation
of Maximally Regular Textures in Human Visual Cortex
P.J.
Kohler, A. Clarke, A. Yakovleva, Y. Liu, A. M. Norcia
· JANUARY 20, 2016
Regularity-Driven
Building Façade Matching between Aerial and Street Views
Wolff, Collins, Liu
Computer
Vision and Pattern Recognition (CVPR) 2016 (spotlight presentation)
Funk and Liu
Computer
Vision and Pattern Recognition (CVPR) 2016 (poster presentation)
Human Visual Perception of the 17
Wallpaper-Group Patterns using Timed Trials
Liu,
Cole, Reitter
Vision
Science Society Perceptual Organization (Talk)
LabelMeSymmetry: a tool for human symmetry perception
C. Funk and Y. Liu
Vision
Science Society Perceptual Organization: Grouping, contours and surfaces (Poster)
Symmetry
features and group hierarchy model human symmetry perception
J. Cole, D. Reitter, Y. Liu
International Meeting of Psychonomic
Society
Teaching
Computational
Regularity
Fall 2016, ETHZ
Pattern Recognition and Machine Learning
Spring 2016:
Graduate-level (CSE 583/EE 552)
Movie:
Highlights from Computer Graphics student projects (Fall 2015)
Service
CVPR-2017 co-Program Chair
IEEE PAMI Associate Editor
CVIU (ELSEVIER) Area Editor
NIH Biodata
Management and Analysis (BDMA) Study Section
NIH SBIR/STTR Health Informatics
Review Panel
NSF Grant Review Panel(s)
2015
Publication
Representation of Maximally Regular Textures in
Human Visual Cortex
Kohler, Clarke, Yakovleva,
Liu, Norcia
Journal of Neuroscience
In Press (Dec. 2015)
Project
Page
I-K Chiang, I. Spiro, S. Lee, A.
Lees, J. Liu, C. Bregler and Y. Liu
ACM Multimedia 2015, Long Paper (acceptance rate: 22%)
Project Page
Dancing with Classical Chinese Dancers (at PSU Mid-Autumn Festival Celebration)
Presentations at VSS 2015
Parametric Responses to Rotation Symmetry in Mid-level Visual Cortex
Peter Kohler, Alexandra Yakovleva, Alasdair Clarke, Yanxi Liu, Anthony Norcia
Project
Page
The Salience of Lower-Order
Features in Highly Self-Similar Wallpaper Groups
Shivam Vedak, Rick Gilmore, Peter Kohler, Anthony Norcia, Yanxi Liu
Project
Page
Teaching
Fall
CSE 597E Deep-learning for Pattern Discovery
Wednesday 2-4:30pm, EES 120
In this course, we will learn to use computational tools related to deep
learning and mathematical theory on pattern representation. Students will be
trained to have a hands-on experience of applying theory and algorithms to
discover regularity/patterns from real, multidimensional, noisy data sets.
Computer
Graphics
CMPSC 458
Tu/Th
Spring
CSE 597K: Theoretical,
Computational and Experimental Regularity on Interdisciplinary, Large Data Sets
Schedule # = 537469
Where: IST 210
When: Wednesdays 2:30-5pm
(once per week)
Instructor: Professor
Yanxi Liu
This is a course on
computational methods for digital data that is across scale, modality and application
domains. Our methodology is a unique mixture of theoretical and experimental
bases drawn from group theory, pattern theory, statistical learning theory as
well as human/animal/insect visual perception research. We aim at automatic
pattern discovery, comparison and learning. The students are trained throughout
the course to apply theory and algorithms to real world scientific data, with
an emphasis on discovering hidden patterns automatically from large data sets,
including imagery/video of human faces, urban scenes, zebra in the wild,
crowds/cell videos, volumetric images of Zebrafish, C. elegans,
neuroradiology images (MR, CT, EEG) and MoCap data of
human dance/movements. Your own research data sets are welcome.
A
similar course was taught by Professor Liu at Stanford University last winter: http://graphics.stanford.edu/courses/cs468-14-winter/
Another similar course taught by
Professor Liu at PSU in 2011:
http://www.cse.psu.edu/~yanxi/Fall2011_CR.htm
Service
NIH BDMA PANEL
NIH P41 Site Visit
NSF PANELs
2014
Publication
Estimating the Camera Direction of A Geotagged Image using Reference Images
Minwoo Park and Jiebo Luo
and Robert T. Collins and Yanxi Liu
Pattern Recognition Journal
Vol 47, Pages 2880-2893
Project
Page
Local
Regularity-driven City-scale Facade Detection from Aerial Images
J. Liu and Y.
Liu (CVPR 2014)
Oral
Presentation (acceptance rate: 5.75%)
Project
Page
3D Blob based Brain Tumor Detection and
Segmentation in MR Images
C.
Yu, G. Ruppert, R. Collins, D. Nguyen, A. Xavier and
Y. Liu
IEEE International Symposium on
Biomedical Imaging (ISBI 2014) Beijing, China.
Project Page
Teaching
Fundamentals of Computer Graphics
Fall PSU
Symmetry Group-based Learning for Pattern Discovery from Big Data
Tsinghua University (May, 2014)
Computational
Symmetry and Regularity
Winter Quarter, Stanford University
Service
Associate Editor for IEEE Transaction on Pattern Analysis and Machine Intelligence
(PAMI)
Area Editor for Computer Vision and Image Understanding Journal (CVIU)
Winning bid Computer Vision and Pattern Recognition Conference 2017 (co-PC)
NIH Panel on BD2K Centers of Excellence for Big Data
Computing in the Biomedical
Sciences (April)
Association
for Women in Math (AWM) invited speaker at JMM:
Computational Symmetry for Automated Pattern Discovery (January 18, 2014)
2013
On-leave at Stanford University/Google, Fall 2013
– Summer 2014
Academic visitor, Microsoft, CA. (July-September)
Taiji and Advanced Technology for Smart Health Symposium, flyer,
April 25-27, 2013. Chair and co-organizer.
Four papers (two oral and two poster presentations with 3.2% and 25.2% acceptance rate respectively) from LPAC are accepted for publication at CVPR 2013.
We organized the 2nd International Competition on “Symmetry Detection from Real World Images” at CVPR 2013!
Teaching (Spring): Pattern Recognition and Machine Learning (CSE 583/EE 552), 2:30-3:45pm T/Th, 222 IST
2012
NSF Award – INSPIRE: Symmetry Group-based Regularity Perception in Human and Computer Vision
NSF
site
Social,
Life, and Engineering Sciences Imaging Center
PSU
News
Four
Gold-medalist (Taiji Sword other-style, Taiji Quan mixed-form, Taiji Quan 24-form, Team-Weapon)
at The International Chinese Martial Arts Championship 2012
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
Publication:
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.
2011
Service
--
Chair of a CVPR 2011 workshop (June 24, 2011) on
Symmetry
Detection from Real World Images – An NSF supported Competition!
-- Invited Speaker of Cold Spring
Harbor Asia Conference on “High
Throughput Biology”,
Sozhou, China
(April)
--
Invited Instructor for the 3rd Sino-USA Summer School in Vision,
Learning and Pattern Recognition (VLPR2011), Chengdu,
China
Publication
IEEE
TPAMI paper (Manuscript Type: Regular)
Title: Curved
Glide-Reflection Symmetry Detection
Authors:
S. Lee and Y. Liu
On-line
version appears
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.
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
First Symmetry
Detection Competition: Summary and Results
Ingmar Rauschert,
Kyle Brocklehurst , Somesh Kashyap,
Jingchen Liu and Yanxi Liu
CSE Dept Technical Report No. CSE11-012, October 2011
Pages 1-17
Teaching
-- New Course (Fall 2011): Computational
Regularity, CSE 598G
-- Graduate-level Seminar (Spring):
Pattern Recognition (CSE 583, EE 552)
Textbook:
Pattern Recognition and Machine Learning (Bishop)
2010
Service
--
Organizer of a
full-day ECCV 2010
Tutorial on Computational
Symmetry: Past, Present, Future
-- Invited
speaker/instructor at Computer Vision Summer School VLPR2010
(and VLPR2009).
-- Research Seminar, Chinese University of Hong Kong, University
of Science and Technology, Hong Kong (February, 2010)
Publication
The Survey
paper (pdf file, 16MB) on “Computational
Symmetry” is
published in Foundations and Trends in Computer
Graphics and Vision 2010 (Foundations and Trends® in Computer
Graphics and Vision Volume 5 Issue 1-2, pp: 1-195.
DOI: 10.1561/0600000008)
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
ACCV 2010 papers:
·
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
-- New PAMI paper
- Skewed
Rotation Symmetry Group Detection (PAMI
preprint) (2010)
Seungkyu Lee and Yanxi Liu
IEEE Transaction on Pattern Analysis and Machine
Intelligence (TPAMI).
Regular Paper. Volume 32, Number 9, Pages 1659 – 1672.
Submitted April
10, 2009, Accepted for publication August 14, 2009. Appeared on-line September, 2009.
Briefs
Faculty
Spotlight of January 2010 Newsletter, PSU, College of Engineering, Department of
Electrical Engineering
My tech talk at Google Google (Mountainview, CA) youtube:
TechTalks at Google (December 2008)
NIPS first Algebraic Methods in
Machine Learning Symposium. (2008) Title: Symmetry Group-based Learning for Regularity Discovery from Real World Patterns
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!
-- Dr. Liu and Dr. Nguyen (college of medicine) received
the PSU 2008 Grace Woodward Grant for collaborative research in engineering and
medicine on "Asymmetry-based Brain Tumor Quantification", June 2008.
-- Pattern Recognition from 3D
Histology Images for Translational Science and Discovery, PSU CTSA initiative award in
collaboration with Dr. Keith Cheng (COM), May 2008
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.
Volume 31
Number 10 October
2009.
[PDF]
[Project
Page]
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.
Research Interests
* 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
Teaching
*
Pattern Recognition (and Machine Learning) CSE 583/EE
552 PSU, Spring 2012, Spring 2011 (TA: Jingchen Liu),
Fall 2009 (TA: Minwoo Park), Fall 2008 (TA: Weina Ge)
*
Computer Graphics CSE 458 (CSE 418 2007 and before),
Fall 2011 (TA: Thap Panitanarak),
Fall 2010 (TA: Kyle Brocklehurst), Fall 2009 (TA:
Kyle Brocklehurst), Spring 2009 (TA: Chen-Ping Yu,
TI: Kyle Brocklehurst), Spring 2008 (TA: Roberto Lublinerman), Spring 2007 (TA: Roberto Lublinerman)
*
Computational Regularity, CSE 598G, Fall
2011
*
Machine Learning for Computational
Regularity CSE 598E,
Fall 2009
* Computational
Symmetry
(PSU Fall 2007: CSE 398B) (Course Description))
* Computational
Symmetry
(PSU Fall 2006: CSE 398B, IST 597G, schedule #794395) Fall 2006 (Course Description))
* Group Theory and Its Applications in Robotics, Computer Vision, Computer Graphics and Medical Image Analysis (PSU: CSE 398D, schedule #695956) Spring 2006
*
Group Theory Applications in Robotics, Computer
Vision, Computer Graphics and Medical Image Analysis, CMU
Fall 2005
* 15-462 Computer Graphics, CMU Spring 2005.
*
Methods
in Medical Image Analysis (16-725) CMU Spring 2005. Spring 2004. Spring 2003.
*
Advanced
Machine Perception CMU Spring 1998, Spring 1999, Spring 2000 , and Spring 2001.
Publications (CMU
page)
Quotes
A quotation from Yan-Xi-Shan 
The requirement of Tai Chi is to be centered, and not
reveal to your opponent where that center is.
-- Chen Zhonghua
Without deviation from the norm progress
is not possible. In order for one to ``deviate successfully``, one has to have
at least a passing acquaintance with whatever norm one expects to deviate from.
--- Frank Zappa, The Real Frank Zappa Book
Debussy understood
that a work of art, or an effort to create beauty, was always
regarded by some people as a personal attack.
-- Art of Noise
FUN
NEW Tea 
Green tea 龙井 
竹叶青
Taiji
Taiji
Performance at the Central PA Festival of the Arts (July 12, 2009)
Taiji Performance
at the Central PA Festival of the Arts (July 11, 2010)
PSU Taiji Club
Recent
performance: Pittsburgh Dragon-Boat Festival
Jazzy's
painting and music
竹叶青
