Travelled to:
1 × Japan
1 × Sweden
1 × United Kingdom
2 × China
Collaborated with:
J.Yang X.Luo Z.Zhang Y.Zheng J.Yang J.Kittler Jiakai Xiao Jianbo Shao H.Zhang T.Osawa K.Wakabayashi T.Yasuno Z.Feng W.J.Christmas S.Pfeiffer D.Yu K.Messer S.Wang
Talks about:
imag (3) face (3) use (3) recognit (2) extract (2) method (2) fusion (2) featur (2) model (2) lda (2)
Person: Xiaojun Wu
DBLP: Wu:Xiaojun
Contributed to:
Wrote 8 papers:
- ICPR-2014-LuoZW #image #segmentation #using
- Image Fusion Using Region Segmentation and Sigmoid Function (XL, ZZ, XW), pp. 1049–1054.
- ICPR-2014-ZhangLWZ #image #modelling #multi #statistics #using
- Statistical Modeling of Multi-modal Medical Image Fusion Method Using C-CHMM and M-PCNN (HZ, XL, XW, ZZ), pp. 1067–1072.
- ICPR-2012-FengKCWP #automation #multi
- Automatic face annotation by multilinear AAM with Missing Values (ZHF, JK, WJC, XW, SP), pp. 2586–2589.
- ICPR-v2-2006-OsawaWWY #3d #using
- Human Tracking by Particle Filtering Using Full 3D Model of Both Target and Environment (TO, XW, KW, TY), pp. 25–28.
- ICPR-v2-2006-ZhengYYW #classification #effectiveness #image #problem
- Effective classification image space which can solve small sample size problem (YJZ, JYY, JY, XW), pp. 861–864.
- ICPR-v3-2006-ZhengYYWY #agile #feature model #recognition
- A Complete and Rapid Feature Extraction Method for Face Recognition (YJZ, JYY, JY, XW, DY), pp. 469–472.
- ICPR-v4-2004-Xiao-JunKYMW #algorithm #feature model #recognition
- A New Direct LDA (D-LDA) Algorithm for Feature Extraction in Face Recognition (XW, JK, JYY, KM, SW), pp. 545–548.
- CASE-2017-WuXS #network #protocol #trust
- Trust-based protocol for securing routing in opportunistic networks (XW, JX, JS), pp. 434–439.