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PAMI
2006
132views more  PAMI 2006»
13 years 8 months ago
A Generative Sketch Model for Human Hair Analysis and Synthesis
In this paper, we present a generative sketch model for human hair analysis and synthesis. We treat hair images as 2D piecewisely smooth vector (flow) fields, and thus our represe...
Hong Chen, Song Chun Zhu
TVCG
1998
125views more  TVCG 1998»
13 years 8 months ago
Structure-Significant Representation of Structured Datasets
—Numerical simulation of physical phenomena is now an accepted way of scientific inquiry. However, the field is still evolving, with a profusion of new solution and grid-generati...
Raghu Machiraju, Zhifan Zhu, Bryan Fry, Robert J. ...
ICASSP
2010
IEEE
13 years 9 months ago
Language recognition using deep-structured conditional random fields
We present a novel language identification technique using our recently developed deep-structured conditional random fields (CRFs). The deep-structured CRF is a multi-layer CRF mo...
Dong Yu, Shizhen Wang, Zahi Karam, Li Deng
ISCAS
1999
IEEE
109views Hardware» more  ISCAS 1999»
14 years 1 months ago
Solution of vector partial differential equations by transfer function models
Transfer function models for the descriptionof physical systems have recently been introduced to the field of multidimensional digital signal processing. They provide an alternati...
Rudolf Rabenstein, Lutz Trautmann
CVPR
2005
IEEE
14 years 10 months ago
A Generative Model of Human Hair for Hair Sketching
Human hair is a very complex visual pattern whose representation is rarely studied in the vision literature despite its important role in human recognition. In this paper, we prop...
Hong Chen, Song Chun Zhu