Travelled to:1 × China
1 × Germany
1 × Japan
1 × Sweden
1 × Turkey
1 × USA
2 × Canada
2 × United Kingdom
Collaborated with:M.Pietikäinen J.Ylioinas M.Nishiyama Y.Sato O.Kouropteva B.Martinkauppi J.Kannala T.Ahonen T.Mäenpää M.Ghahramani V.Kellokumpu J.D.Bustard M.S.Nixon
Talks about:face (7) recognit (4) local (4) unconstrain (3) appear (3) base (3) use (3) descriptor (2) classif (2) linear (2)
Person: Abdenour Hadid
DBLP: Hadid:Abdenour
Contributed to:
2014201220102008200620042004
200320022002Wrote 11 papers:
- ICPR-2014-YlioinasHKP #recognition
- An In-depth Examination of Local Binary Descriptors in Unconstrained Face Recognition (JY, AH, JK, MP), pp. 4471–4476.
- ICPR-2012-HadidGKPBN #question
- Can gait biometrics be Spoofed? (AH, MG, VK, MP, JDB, MSN), pp. 3280–3283.
- ICPR-2012-YlioinasHP #classification #using
- Age Classification in Unconstrained Conditions Using LBP Variants (JY, AH, MP), pp. 1257–1260.
- ICPR-2010-HadidNS #recognition
- Recognition of Blurred Faces via Facial Deblurring Combined with Blur-Tolerant Descriptors (AH, MN, YS), pp. 1160–1163.
- ICPR-2008-HadidP #classification #gender #sequence #video
- Combining motion and appearance for gender classification from video sequences (AH, MP), pp. 1–4.
- ICPR-v1-2006-HadidP #approach #detection #hybrid
- A Hybrid Approach to Face Detection under Unconstrained Environments (AH, MP), pp. 227–230.
- ICPR-v1-2004-HadidP #modelling #recognition
- Selecting Models from Videos for Appearance-Based Face Recognition (AH, MP), pp. 304–308.
- ICPR-v3-2004-AhonenPHM #recognition
- Face Recognition Based on the Appearance of Local Regions (TA, MP, AH, TM), pp. 153–156.
- MLDM-2003-HadidP #linear #performance
- Efficient Locally Linear Embeddings of Imperfect Manifolds (AH, MP), pp. 188–201.
- ICPR-v1-2002-HadidKP #analysis #learning #linear #using
- Unsupervised Learning Using Locally Linear Embedding: Experiments with Face Pose Analysis (AH, OK, MP), pp. 111–114.
- ICPR-v4-2002-HadidPM #detection #using
- Color-Based Face Detection Using Skin Locus Model and Hierarchical Filtering (AH, MP, BM), pp. 196–200.