Travelled to:1 × China
1 × Japan
1 × Sweden
1 × Turkey
1 × United Kingdom
2 × Canada
2 × USA
Collaborated with:P.Yang J.Huang A.Kanaujia T.Chen C.Faloutsos S.Zhang Q.Hu X.Peng L.Zhong T.Zhang R.Huang V.Pavlovic C.Tan Z.Yan B.Belaroussi H.J.Yu C.Miller Z.Li Q.Liu H.Lu F.Yang L.Meng L.Qing J.Miao X.Chen Y.Zhou
Talks about:recognit (3) facial (3) model (3) segment (2) express (2) robust (2) field (2) estim (2) activ (2) pose (2)
Person: Dimitris N. Metaxas
DBLP: Metaxas:Dimitris_N=
Contributed to:
201420122010
20092008200620042002
1989Wrote 12 papers:
- ICPR-2014-HuPYYM #multi #recognition #robust
- Robust Multi-pose Facial Expression Recognition (QH, XP, PY, FY, DNM), pp. 1782–1787.
- ICPR-2014-PengHHZM #estimation
- Head Pose Estimation by Instance Parameterization (XP, JH, QH, SZ, DNM), pp. 1800–1805.
- ICPR-2014-TanYZBYMM #automation #framework #quantifier #robust
- An Automated and Robust Framework for Quantification of Muscle and Fat in the Thigh (CT, ZY, SZ, BB, HJY, CM, DNM), pp. 3173–3178.
- ICPR-2014-YanTZZBYMM #assessment #automation #segmentation
- Automatic Liver Segmentation and Hepatic Fat Fraction Assessment in MRI (ZY, CT, SZ, YZ, BB, HJY, CM, DNM), pp. 3280–3285.
- ICPR-2012-MengQYMCM #process #recognition #semantics
- Activity recognition based on semantic spatial relation (LM, LQ, PY, JM, XC, DNM), pp. 609–612.
- ICPR-2010-YangZM #estimation #ranking
- Ranking Model for Facial Age Estimation (PY, LZ, DNM), pp. 3404–3407.
- ICML-2009-HuangZM #learning
- Learning with structured sparsity (JH, TZ, DNM), pp. 417–424.
- ICPR-2008-LiLLM #geometry
- Lennard-Jones force field for Geometric Active Contour (ZL, QL, HL, DNM), pp. 1–4.
- ICPR-v2-2006-KanaujiaM
- Recognizing Facial Expressions by Tracking Feature Shapes (AK, DNM), pp. 33–38.
- ICPR-v3-2004-HuangMP #hybrid #markov #random #recognition #using
- A Hybrid Face Recognition Method using Markov Random Fields (RH, DNM, VP), pp. 157–160.
- ICPR-v1-2002-ChenM #3d #image #integration #modelling #segmentation
- Integration of Gibbs Prior Models and Deformable Models for 3D Medical Image Segmentation (TC, DNM), pp. 719–722.
- PODS-1989-FaloutsosM #clustering #fault #using
- Declustering Using Error Correcting Codes (CF, DNM), pp. 253–258.