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Symposium on Computer Animation:
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I am helping
to organize ACM SIGGRAPGH / Eurographics Symposium on Computer Animation
2013, July 19-21 in Anaheim, just before SIGGRAPH. The paper submission
deadline is next Tuesday (April 16)!
Please submit
your best work to
sca2013.cs.tamu.edu/.
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Jinxiang Chai is currently
an associate professor in the Department of Computer
Science and Engineering at Texas A&M University. He received
his Ph.D in 2006 from the Robotics Institute at Carnegie
Mellon. His primary research is in the area of computer
graphics and vision with broad applications in other disciplines such
as robotics, human computer interaction, and biomechanics,
virtual and augmented
reality. He is particularly interested in developing representations and
efficient computational models that allow acquisition, analysis,
understanding, simulation, and control of natural human motion,
including movements of the body, face and hand, multi-person
interaction, and crowds.
He draws on ideas from graphics, vision, machine learning,
robotics, biomechanics, neuroscience and applied math. He received
an NSF CAREER award for his work on theory and practice of Bayesian
motion synthesis.
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RESEARCH
PROJECTS AND INTERESTS:
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Human motion modeling,
understanding, simulation and control. The primary goals of our
research herein are: (1) to develop efficient representations and
computational models to analyze how humans move by utilizing prerecorded
motion data, physics, biomechanics principles, and control theories; and
(2) to apply the new models to solve important and challenging problems
in computer graphics, computer vision and robotics such as synthesis and
control of animated human characters, human motion tracking and
classification, and motion planning and control for humanoid robots.
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Motion capture for
everyone. We are developing next-generation motion
capture technologies that minimize the cost and intrusiveness of motion
capture so that the technology is practical and easily accessible to
every home user. Notable examples
include full-body performance capture using low-cost sensors, video-based
motion capture, and realtime motion capture using RGBD cameras. We are
also interested in developing new techniques for capturing the physics of
complex movements from real world.
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Facial acquisition,
modeling and animation. One of holy grail problems in
computer graphics has been the realistic animation of the human face. We
have been developing new methods to animate and control virtual faces by
capturing and analyzing facial performances of real people.
Hand
motion acquisition, modeling and simulation. We are exploring new techniques for capturing high-quality hand gestures, grasping and manipulation
for hand motion understanding, modeling, simulation and control.
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Visual modeling and understanding. We
seek to build systems that can visually model and understand complex movements
such as full-body movements, facial deformations, hand gestures,
multi-person interaction, or animal movements. For example, we have
developed new techniques for modeling deformable objects and articulated
bodies using a single camera. Before that, I had been working on
image-based modeling and rendering.
Data-driven graphics and vision. I
am genuinely interested in data-driven approaches for solving ill-posed
graphics and vision problems, such as animation control, deformation
modeling, and vision-based motion tracking. I am
particularly interested in learning techniques that can scale up to
massive and heterogeneous datasets.
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CSCE 441
(Spring
2013): Computer Graphics
CSCE 643
(Spring 2012): Computer Vision
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SELECTED RECENT PUBLICATIONS: (For more details, see my Projects
page)
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Video-based Hand Manipulation Capture Through
Composite Motion Control
ACM Transactions on Graphics
(to present
at SIGGRAPH 2013)
Generative Statistical
Models for Semantic Motion Analysis and Synthesis
ACM Transactions on Graphics (Presented at SIGGRAPH
ASIA 2012)
Accurate Realtime Full-body
Motion Capture Using a Single Depth Camera
ACM Transactions on Graphics (Presented at SIGGRAPH
ASIA 2012)
Combining Marker-based Mocap
and RGB-D Camera for Acquiring High-fidelity Hand Motion Data
ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA 2012)
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Yen-Lin Chen (Ph.D student)
Fuhao Shi (Ph.D student)
Jianjie Zhang (Ph.D student)
Peizhao Zhang (Ph.D student)
Wenping Zhao (Ph.D student,
MSRA & USTC)
Yangang Wang (Ph.D student, Tsinghua Univ.)
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Hui Lou (2007-2012, Ph.D,
now at Google)
Jianyuan
Min (2007-2012, Ph.D, now at Google)
Xiaolin
Wei (2007-2011,
Ph.D, now at Google)
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Conference chair - Symposium
on Computer Animation (SCA), 2013
Program chair - Computer
Animation and Social Agents (CASA), 2011
Program committee - ACM
SIGGRAPH (2013); ACM SIGGRAPH ASIA (2012, 2011, 2009)
Program committee - Symposium on Computer Animation (SCA),
2012, 2011, 2010, 2009, 2008
Program committee - ACM Symposium on Interactive 3D Graphics and Games
(I3D), 2013, 2012, 2011
Program committee - Pacific Graphics, 2012, 2011, 2010
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