BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Travelled to:
1 × Japan
1 × Turkey
1 × USA
1 × United Kingdom
Collaborated with:
Q.Huang Q.Tian W.Gao L.Qin S.Wang W.Wang Z.Cheng Q.Hu L.Hu Y.Wang S.Ma D.Zhang Q.Wang J.Pang G.Liu Z.Wu Q.Xu P.Cui L.Li
Talks about:
learn (3) imag (3) recognit (2) multipl (2) kernel (2) featur (2) effici (2) detect (2) match (2) local (2)

Person: Shuqiang Jiang

DBLP DBLP: Jiang:Shuqiang

Contributed to:

ICPR 20122012
CIKM 20112011
ICPR 20102010
ICPR 20082008

Wrote 9 papers:

ICPR-2012-WangPLQHJ #detection
Color Maximal-Dissimilarity Pattern for pedestrian detection (QW, JP, GL, LQ, QH, SJ), pp. 1952–1955.
CIKM-2011-WangHJT #categorisation #image #learning #metric #multi #performance
Efficient lp-norm multiple feature metric learning for image categorization (SW, QH, SJ, QT), pp. 2077–2080.
ICPR-2010-ChengQHJT #estimation #process #recognition
Group Activity Recognition by Gaussian Processes Estimation (ZC, LQ, QH, SJ, QT), pp. 3228–3231.
ICPR-2010-HuQHJT #recognition #using
Action Recognition Using Spatial-Temporal Context (QH, LQ, QH, SJ, QT), pp. 1521–1524.
ICPR-2010-WangJHT #higher-order #kernel #learning #multi
Multiple Kernel Learning with High Order Kernels (SW, SJ, QH, QT), pp. 2138–2141.
ICPR-2010-WuXJHCL #constraints #geometry #image #invariant #retrieval
Adding Affine Invariant Geometric Constraint for Partial-Duplicate Image Retrieval (ZW, QX, SJ, QH, PC, LL), pp. 842–845.
ICPR-2008-HuWJHG #detection #learning #online
Human reappearance detection based on on-line learning (LH, YW, SJ, QH, WG), pp. 1–4.
ICPR-2008-MaWHJG #effectiveness
Effective scene matching with local feature representatives (SM, WW, QH, SJ, WG), pp. 1–4.
ICPR-2008-ZhangWHJG #image
Matching images more efficiently with local descriptors (DZ, WW, QH, SJ, WG), pp. 1–4.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.