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Description: Macintosh HD:Users:yanxi:Dropbox:YANXI_LIU:PHOTOS:yanxi_dec_2015.png

Yanxi Liu, 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

 

Director

Motion Capture Lab for Smart Health

 

Co-Director

Lab for Perception, Action and Cognition (LPAC)

 

CONTACT INFO

 

Google Citations Research Gate  LinkedIn  LPAC Publication Page

 

 

What’s new

 

            2021

 

TEACHING

 

             NEW:

                    Humanoid Robots Simulation

                    (kinematics, dynamics, vision)

 

                    Course Poster       

                   

                    Dances designed by girls from Dancing with Robots

              Sample movie    #1

              Sample movie    #2

              Sample movie    #3                     

             

                 CMPEN 497.001 
                 W 2:30 - 5:30 PM 
                 ZOOM 
                 Schedule #: 30614 
                 Instructors: Professors Liu and Collins
                 LA: A. Petro

 

              Pattern Recognition and Machine Learning 

               (CSE 583/EE 552)

 

SERVICE

 

Area-Chair for International Conference of Computer Vision (ICCV) 2021

 

 

 

2020

 

OPENNING

 

Ph.D. student positions on Regularity Perception

(Human/Robot, CV/CG, AR/VR, Learning/Optimization)

 

Undergrad student NSF REU Opportunities:

Spatiotemporal Symmetry in Digital Movement Data

 

MANUSCRIPT

 

   From Image to Stability: Learning Dynamics from Human Pose 

   Scott*, Ravichandran*, Funk, Collins, Liu (* joint first author)

   ECCV 2020

 

 

TEACHING

 

FALL          Fundamentals of Computer Graphics (COMPSC 458)

 

Spring         Pattern Recognition and Machine Learning (CSE 583/EE 552)

 

FUN

 

   AR TAIJI – mobile APP released by APPLE STORE

 

 

2019

 

New NSF Award:  Explicit and Implicit Regularity Perception

 

 

TEACHING

 

   Fall             CSE 597 Sec 5 Schedule #29925

Wednesday 2:30pm, 271 Willard,

GROUP THEORY FOR DATA SCIENCE:

                      Theory, computation and applications

                     

                      COMPSC 458

T/Th 1:30-2:50pm, 358 Willard, Office Hour: 3-4pm T/Th

Fundamentals of Computer Graphics

Class capacity: 90

 

Spring         Pattern Recognition and Machine Learning (CSE 583/EE 552)

 

 

SERVICE

 

Description: Description: Macintosh HD:Users:yanxi:Desktop:Screen Shot 2019-03-15 at 10.03.31 AM.png     Dancing with Robots  (DwR)

July 29 – August 2, 2019

                    Meet our “Women in AI” Panelists

Computer Science and Engineering Summer Camp (DwR-CSE)

Co-organizer

 

Area Chair, CVPR 2019,  Long Beach, CA, June 2019

 

         Program co-Chair, WACV Hawaii. January 2019

 

 

SPEECH/MANUSCRIPT

 

Keynote Speaker for Computational and Mathematical Models in Vision

MODVIS 2019

 

Learning Dynamics from Kinematics: Estimating 2D Foot Pressure Maps from Video Frames

 

 

 

2018

 

Fall 2018            Computer Graphics (CMPSC 458)

Spring 2018       Pattern Recognition and Machine Learning

(CSE 583/EE 552)

 

Area Chair, ACCV 2018, Perth Western, Australia. December 2018

         NIH/NIBIB  P41 Site Visit, June 2018

NIH Special Emphasis Panel (RPHB), March 2018

 

 

2017   2016       2015       2014       2013       2012

 


 

RESEARCH

              

  Perception:   Computer Vision versus Human Vision    

(group theory-based)

 

               Action:          AI Planning,

Robotics,

Reconstruction/Tracking via Machine Learning

 

LPAC Research Project Page              Near-regular Texture Database

 


 

TEACHING

 

               Pattern Recognition and Machine Learning (CMU, PSU)

Computational Symmetry (CMU, PSU, Tsinghua, Stanford, ETH)

Computer Graphics (CMU, PSU)

 


 

Taiji 太极             TEA           砚溪随笔           QUOTE