Travelled to:
1 × Australia
1 × China
1 × France
1 × Japan
1 × Sweden
1 × Turkey
1 × United Kingdom
2 × Canada
2 × Spain
Collaborated with:
M.S.Lew E.Ricci T.Gevers I.Cohen T.S.Huang Y.Yan G.Zen O.Lanz R.Subramanian Y.Sun M.Mercera R.Visser D.P.Huijsmans S.Tulyakov R.Vieriu S.Semeniuta S.Ramanathan H.R.Tavakoli V.Yanulevskaya E.Rahtu J.Heikkilä G.Liu N.Rostamzadeh J.Staiano R.Valenti A.Lablack C.Djeraba A.Garg K.Hofmann M.Glesner A.Manolescu S.Marco J.Samitier J.Karam B.Courtois
Talks about:
recognit (4) classif (4) multi (4) head (4) learn (3) view (3) pose (3) emot (3) retriev (2) analysi (2)
Person: Nicu Sebe
DBLP: Sebe:Nicu
Contributed to:
Wrote 17 papers:
- ICPR-2014-TavakoliYRHS #analysis #eye tracking #recognition
- Emotional Valence Recognition, Analysis of Salience and Eye Movements (HRT, VY, ER, JH, NS), pp. 4666–4671.
- ICPR-2014-TulyakovVSS #estimation #realtime #robust
- Robust Real-Time Extreme Head Pose Estimation (ST, RLV, SS, NS), pp. 2263–2268.
- ICPR-2014-YanRLSS #analysis #clustering #invariant #linear #multi #recognition
- Clustered Multi-task Linear Discriminant Analysis for View Invariant Color-Depth Action Recognition (YY, ER, GL, RS, NS), pp. 3493–3498.
- ICPR-2014-YanSRLS #classification #interactive #learning #multi
- Evaluating Multi-task Learning for Multi-view Head-Pose Classification in Interactive Environments (YY, RS, ER, OL, NS), pp. 4182–4187.
- ICPR-2014-ZenRS #distance #learning #matrix #metric
- Simultaneous Ground Metric Learning and Matrix Factorization with Earth Mover’s Distance (GZ, ER, NS), pp. 3690–3695.
- ICPR-2012-YanRLS #classification #learning #multi
- Active transfer learning for multi-view head-pose classification (YY, SR, OL, NS), pp. 1168–1171.
- ICPR-2012-ZenRSRS #categorisation #functional #semantics
- Enhanced semantic descriptors for functional scene categorization (GZ, NR, JS, ER, NS), pp. 1985–1988.
- ICPR-2010-ValentiLSDG #estimation #visual notation
- Visual Gaze Estimation by Joint Head and Eye Information (RV, AL, NS, CD, TG), pp. 3870–3873.
- ICPR-v1-2006-SebeCGH #recognition #visual notation
- Emotion Recognition Based on Joint Visual and Audio Cues (NS, IC, TG, TSH), pp. 1136–1139.
- ICPR-v1-2006-SunSM #classification #simulation
- The Role of Featural and Configural Information in Face Classification A Simulation of the Expertise Hypothesis (YS, NS, MM), pp. 1166–1170.
- ICPR-v2-2004-SebeCHG #approach #detection #network
- Skin Detection: A Bayesian Network Approach (NS, IC, TSH, TG), pp. 903–906.
- ICPR-v1-2002-SebeLCGH #classification #naive bayes #recognition #using
- Emotion Recognition Using a Cauchy Naive Bayes Classifier (NS, MSL, IC, AG, TSH), p. 17–?.
- ICPR-v2-2002-VisserSL #detection #people #retrieval #semantics #video
- Detecting Automobiles and People for Semantic Video Retrieval (RV, NS, MSL), pp. 733–736.
- ICPR-v1-2000-SebeL
- Maximum Likelihood Stereo Matching (NS, MSL), pp. 1900–1903.
- ICPR-v3-2000-SebeL00a #classification
- Wavelet Based Texture Classification (NS, MSL), pp. 3959–3962.
- ICPR-1998-SebeLH #image #metric #ranking #retrieval
- Which ranking metric is optimal? With applications in image retrieval and stereo matching (NS, MSL, DPH), pp. 265–271.
- EDTC-1997-HofmannGSMMSKC #generative
- Generation of the HDL-A-model of a micromembrane from its finite-element-description (KH, MG, NS, AM, SM, JS, JMK, BC), pp. 108–112.