LEAD Technologies Inc. V1.01 

 

Yanxi Liu's Home Page

 

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

(On leave at Stanford University and Google)

 

Google Citations  

Research Gate

LPAC Publication Page

CMU RI Publication Page

Near-regular Texture Database

 


Address and Phone Numbers

Dr. Yanxi Liu
338B IST Building
University Park, PA 16802

Office: (814) 865-7495
Email: yanxi ATsign cse.psu.edu

What's new

           

2014

 

Local Regularity-driven City-scale Facade Detection from Aerial Images

J. Liu and Y. Liu (CVPR 2014)

Oral Presentation (acceptance rate: 5.75%)

 

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) Beijing, China.

 

NIH Panel on BD2K Centers of Excellence for Big Data Computing in the Biomedical 

Sciences (April)

 

Course: Symmetry Group-based Learning for Pattern Discovery from Big Data

Tsinghua University (May)

 

Computational Symmetry and Regularity Course (Winter Quarter, Stanford University)

 

Association for Women in Math (AWM) invited speaker at JMM:

Computational Symmetry for Automated Pattern Discovery (January 18, 2014)

 

Recruiting New Student: we are looking for devoted Ph.D. student 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, we look for students who are motivated for the following projects:

Project #1: Regularity perception (human and machine)

Project #2: Symmetry of dance (motion)

Project #3: Neuroimage understanding

      Project #4: Urban Scene Analysis

      Project #5: 3D/4D face

 

2013

 

On-leave at Stanford University from Fall 2013 to Spring 2014

 

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 AwardINSPIRE: Symmetry Group-based Regularity Perception in Human and Computer Vision

NSF site

Social, Life, and Engineering Sciences Imaging Center

Huck Institute

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]

[Project Page]

 

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) onComputational Symmetryis 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!

Tartan article on Dr. Liu's Alzheimer's Disease project (in collaboration with the Alzheimer's Disease Research Center of University of Pittsburgh)

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

[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
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]

http://vision.cse.psu.edu/publications/icons/2009lee2.pngCurved 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)

 

 

http://vision.cse.psu.edu/publications/icons/2008park2.png [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 (unrelated to Yan-Xi Liu)


 

 

 

 

 

 

 

 

 

 

 

 

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          竹叶  AppleMark
   

 

 

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

 

 Jazzy's art gallery (copyright reserved)