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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) Google Citations Research Gate LinkedIn
LPAC Publication Page |
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What’s new
2021
TEACHING
Group Theory-based Pattern Discovery
CSE 597.001
Fundamentals
of Computer Graphics
CMPSC
458
NEW:
Humanoid Robots
Simulation
(kinematics, dynamics, vision)
CMPEN 497.001 Course INFO
Dances designed by girls from Dancing with Robots
Pattern Recognition and Machine Learning
CSE 583/EE 552
SERVICE
Area-Chair for International Conference
of Computer Vision (ICCV) 2021
Area-Chair for Computer Vision and
Pattern Recognition (CVPR) 2022
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
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