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王雁刚 |
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| Ph.D. candidate |
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| Broadband Network & Digital Multimedia Lab |
| Department of Automation, |
| Tsinghua University, Beijing 100084, China |
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E-Mail: or  |
I am currently a fourth-year Ph.D. student at Tsinghua University (THU) in Beijing, under the supervision of Prof. Dai. In 2009, I received my B.E. from the school of Instrument Science
and Engineering at Southeast University (SEU). My research interests involve in the area of computer vision,
computer graphics and computational photography. |
| Background |
2012.10 ~ 2013.03, Visiting Ph.D., EPFL, Lausanne, Switzerland.
2009.09 ~ present, Ph.D., Tsinghua University, Beijing, China.
2005.09 ~ 2009.07, B.E., Southeast University, Nanjing, China. |
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Video-based Hand Manipulation Capture Through Composite Motion Control |
| ACM Transactions on Graphics (Proc. of ACM SIGGARPH 2013), 32(4): Article NO. xxx, July 2013 |
| Yangang Wang, Jianyuan Min, Jianjie Zhang, Yebin Liu, Feng Xu, Qionghai Dai, Jinxiang Chai |
| [paper] [video][project page] |
Abstract: This paper describes a novel motion capture method for acquiring physically realistic hand grasping and manipulation data from multiple video streams. The key idea of our approach is to introduce
a composite motion control to simultaneously model hand articulation,
object movement, and subtle interaction between the hand and
object. We formulate video-based hand manipulation capture in an
optimization framework by maximizing the consistency between
the simulated motion and the observed image data. We search an
optimal motion control that drives the simulation to best match the
observed image data. We demonstrate the effectiveness of our approach
by capturing a wide range of high-fidelity dexterous manipulation
data. The system achieves superior performance in our comparison
against alternative methods such as marker-based motion
capture and kinematic motion tracking. We also show the power of
our recovered motion controllers by adapting the captured motion
data to new objects with different properties. |
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Online Modeling For Realtime Facial Animation |
| ACM Transactions on Graphics (Proc. of ACM SIGGARPH 2013), 32(4): Article NO. xxx, July 2013 |
| Sofien Bouaziz, Yangang Wang, Mark Pauly |
| [paper] [video][project page] |
| Abstract: We present a new algorithm for realtime face tracking on commodity
RGB-D sensing devices. Our method requires no user-specific
training or calibration, or any other form of manual assistance, thus
enabling a range of new applications in performance-based facial
animation and virtual interaction at the consumer level. The key
novelty of our approach is an optimization algorithm that jointly
solves for a detailed 3D expression model of the user and the corresponding
dynamic tracking parameters. Realtime performance
and robust computations are facilitated by a novel subspace parameterization
of the dynamic facial expression space. We provide a
detailed evaluation that shows that our approach significantly simplifies
the performance capture workflow, while achieving accurate
facial tracking for realtime applications. |
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High-order Markov Random Fields (MRFs) |
| [project page] |
| Abstract: In spite that high-order Markov Random Fields (MRFs) are widely used in modeling priors of natural images,
their practical performance is far inferior to the theoretical limit. Targeting to learn more prior knowledge from a given database,
we explore the natural image statistics at different scales and build a Normalized Filter Pool (NFP) for prior learning of nature images.
Our model mainly differentiates from the previous MRFs in that we construct a multi-scale MRF model by constraining the norms of filters
in another space and integrate all the filtering responses in a unified framework.
we formulate both learning and inference as constrained optimization problems and solve them using augmented Lagrange method.
The experiments display that the normalization of filters at different scales
helps to achieve fast convergence in learning stage and obtain superior performance in image restoration
tasks(including denoising and inpainting). |
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- Outstanding Graduate of Southeast University, 2009
- President Fellowship of Southeast University, 2007
- Outstanding Student Cadre, 2006
- First-class Scholarship of Southeast University, 2005-2008
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Last updated:
Mon, 05/20/2013
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