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 × Austria
1 × China
1 × Japan
1 × Sweden
1 × Turkey
1 × United Kingdom
2 × Canada
Collaborated with:
Y.Chen S.Yu W.Hu S.Cheng D.Chen C.Chen Y.Hsu C.Huang C.Chang H.M.Liao K.Fan M.Ko Y.Yan H.Chiang L.Chen C.Chuang C.Huang P.Wu J.Cheng S.Tseng
Talks about:
detect (3) human (3) use (3) analysi (2) shadow (2) object (2) elimin (2) model (2) base (2) predetermin (1)

Person: Jun-Wei Hsieh

DBLP DBLP: Hsieh:Jun=Wei

Contributed to:

ICPR 20142014
ICPR 20122012
ICPR 20102010
ICPR v1 20062006
ICPR v4 20042004
ICPR v2 20022002
ICPR v3 20022002
ICPR 19961996

Wrote 8 papers:

ICPR-2014-YanHCCC #classification #representation
PLSA-Based Sparse Representation for Object Classification (YY, JWH, HFC, SCC, DYC), pp. 1295–1300.
ICPR-2012-ChenHCHC #analysis #using
Occluded human action analysis using dynamic manifold model (LCC, JWH, CHC, CYH, DYC), pp. 1245–1248.
ICPR-2010-WuHCCT #detection #interactive #using #visual notation
Human Smoking Event Detection Using Visual Interaction Clues (PW, JWH, JCC, SCC, SYT), pp. 4344–4347.
ICPR-v1-2006-ChenHHH #segmentation #using
Segmentation of Human Body Parts Using Deformable Triangulation (CCC, JWH, YTH, CYH), pp. 355–358.
ICPR-v4-2004-HsiehYCH #analysis
A Shadow Elimination Method for Vehicle Analysis (JWH, SHY, YSC, WFH), pp. 372–375.
ICPR-v2-2002-ChangHHC #detection #effectiveness #modelling
Shadow Elimination for Effective Moving Object Detection with Gaussian Models (CJC, WFH, JWH, YSC), pp. 540–543.
ICPR-v3-2002-HsiehYC #detection
Morphology-Based License Plate Detection from Complex Scenes (JWH, SHY, YSC), pp. 176–179.
ICPR-1996-HsiehLFK #algorithm #image #performance
A fast algorithm for image registration without predetermining correspondences (JWH, HYML, KCF, MTK), pp. 765–769.

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.