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Travelled to:
1 × Austria
1 × Germany
1 × Japan
1 × Turkey
2 × Australia
2 × USA
3 × Canada
3 × Spain
3 × United Kingdom
4 × China
Collaborated with:
P.Hong A.Garg Y.Wu M.Liu I.Cohen C.K.Dagli Y.Huang M.R.Naphade Y.Zhou N.Sebe Y.Zhang H.Zhang S.Rajaram M.Dikmen T.Gevers T.Chen X.S.Zhou A.Colmenarez L.Tang F.Li J.Tu J.Lu G.Wang Z.Zhang J.Lin H.Niemann V.Pavlovic S.Agarwal R.Wang Q.Tian M.Turk Y.Kang J.Torrellas Q.Liu C.Lansing N.M.Nasrabadi G.Guo Y.Fu C.R.Dyer X.Zhuang X.Zhou M.Hasegawa-Johnson M.D.Gupta N.Petrovic W.Li Z.Zhu Y.Wang Q.Cheng J.Cheng L.S.Chen B.J.Frey A.M.Bruckstein R.J.Holt A.N.Netravali H.Ning W.Xu Y.Gong H.Wang S.Yan J.Liu X.Tang A.Kushal M.Rahurkar J.Ponce A.Ivanovic X.Xu M.S.Lew S.Chang W.Han J.Tang G.Qi C.C.Aggarwal Y.Hu Z.Zeng L.Yin X.Wei R.Sharma V.I.Pavlovic Y.Zhao Z.Lo S.M.Chu K.Schulten
Talks about:
base (11) recognit (8) imag (7) visual (5) model (5) learn (5) use (5) bayesian (4) pattern (4) network (4)

Person: Thomas S. Huang

DBLP DBLP: Huang:Thomas_S=

Contributed to:

KDD 20152015
ICPR 20122012
ICPR 20102010
ICPR 20082008
ICML 20072007
ICPR v1 20062006
ICPR v2 20062006
ICPR v3 20062006
ICPR v4 20062006
ICPR v2 20042004
ICPR v3 20042004
ICPR v4 20042004
ICPR v1 20022002
ICPR v2 20022002
ICPR v3 20022002
MLDM 20012001
ICPR v1 20002000
ICPR v2 20002000
ICPR v3 20002000
ICPR 19981998
ICPR 19961996

Wrote 45 papers:

KDD-2015-ChangHTQAH #architecture #network
Heterogeneous Network Embedding via Deep Architectures (SC, WH, JT, GJQ, CCA, TSH), pp. 119–128.
ICPR-2012-LuWH #classification #gender
Gait-based gender classification in unconstrained environments (JL, GW, TSH), pp. 3284–3287.
ICPR-2012-ZhangZH #collaboration
Collaborative and compressive high-resolution imaging (YZ, HZ, TSH), pp. 3062–3065.
ICPR-2012-ZhangZNH #learning #multi #recognition
Joint dynamic sparse learning and its application to multi-view face recognition (HZ, YZ, NMN, TSH), pp. 1671–1674.
ICPR-2010-DikmenH #canonical #classification #correlation
Improving Classification Accuracy by Comparing Local Features through Canonical Correlations (MD, TSH), pp. 4032–4035.
ICPR-2008-GuoFDH #classification #estimation #question
Head pose estimation: Classification or regression? (GG, YF, CRD, TSH), pp. 1–4.
ICPR-2008-HuZYWTH #case study #recognition
A study of non-frontal-view facial expressions recognition (YH, ZZ, LY, XW, JT, TSH), pp. 1–4.
ICPR-2008-NingXZGH #detection #difference #learning
Temporal difference learning to detect unsafe system states (HN, WX, YZ, YG, TSH), pp. 1–4.
ICPR-2008-ZhuangZHH #estimation #markov #using
Face age estimation using patch-based hidden Markov model supervectors (XZ, XZ, MHJ, TSH), pp. 1–4.
ICML-2007-WangYHLT
Transductive regression piloted by inter-manifold relations (HW, SY, TSH, JL, XT), pp. 967–974.
ICPR-v1-2006-KushalRFPH #locality #modelling #using #visual notation
Audio-Visual Speaker Localization Using Graphical Models (AK, MR, FFL, JP, TSH), pp. 291–294.
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-ZhouH #network #visual notation
Weighted Bayesian Network for Visual Tracking (YZ, TSH), pp. 523–526.
ICPR-v2-2006-ChenH #bound #composition #image #segmentation
Boundary correction for total variation regularized L^1 function with applications to image decomposition and segmentation (TC, TSH), pp. 316–319.
ICPR-v2-2006-DagliRH #information management
Utilizing Information Theoretic Diversity for SVM Active Learn (CKD, SR, TSH), pp. 506–511.
ICPR-v2-2006-GuptaRPH #classification
Classifiers for Motion (MDG, SR, NP, TSH), pp. 593–596.
ICPR-v2-2006-LiuHZ #independence #robust #verification
Robust Local Scoring Function for Text-Independent Speaker Verification (ML, TSH, ZZ), pp. 1146–1149.
ICPR-v3-2006-TuIXFH #invariant #probability #recognition
Variational Shift Invariant Probabilistic PCA for Face Recognition (JT, AI, XX, FFL, TSH), pp. 548–551.
ICPR-v4-2006-LiLZH
LDV Remote Voice Acquisition and Enhancement (WL, ML, ZZ, TSH), pp. 262–265.
ICPR-v4-2006-LiuH #automation #predict #segmentation #speech
A Bayesian Predictive Method for Automatic Speech Segmentation (ML, TSH), pp. 290–293.
ICPR-v2-2004-DagliH #framework #image #retrieval
A Framework for Grid-Based Image Retrieval (CKD, TSH), pp. 1021–1024.
ICPR-v2-2004-SebeCHG #approach #detection #network
Skin Detection: A Bayesian Network Approach (NS, IC, TSH, TG), pp. 903–906.
ICPR-v3-2004-WangCCH #multi #named #summary #video #visualisation
MV-MAP: Multiresolution Video Visualization and Summarization on MAPs (YW, QC, JC, TSH), pp. 886–889.
ICPR-v4-2004-LinWH #monte carlo
Articulate Hand Motion Capturing Based on a Monte Carlo Nelder-Mead Simplex Tracker (JL, YW, TSH), pp. 975–978.
ICPR-v1-2002-HuangH #modelling
Model-Based Human Body Tracking (YH, TSH), pp. 552–555.
ICPR-v1-2002-HuangHN
A Region-Based Method for Model-Free Object Tracking (YH, TSH, HN), pp. 592–595.
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-GargPH #classification #network
Bayesian Networks as Ensemble of Classifiers (AG, VP, TSH), pp. 779–784.
ICPR-v3-2002-GargAH #detection #information management
Fusion of Global and Local Information for Object Detection (AG, SA, TSH), p. 723–?.
ICPR-v3-2002-HongH #mining #multimodal
Multimodal Temporal Pattern Mining (PH, TSH), pp. 465–472.
MLDM-2001-WuH #self #towards
Towards Self-Exploring Discriminating Features (YW, TSH), pp. 263–277.
ICPR-v1-2000-CohenGH #recognition
Vision-Based Overhead View Person Recognition (IC, AG, TSH), pp. 5119–5124.
ICPR-v1-2000-WangHH #video
Memory-Based Moving Object Extraction for Video Indexing (RW, PH, TSH), pp. 1811–1814.
ICPR-v1-2000-WuTH #feedback #image #retrieval
Integrating Unlabeled Images for Image Retrieval Based on Relevance Feedback (YW, QT, TSH), pp. 1021–1024.
ICPR-v1-2000-ZhouH #image #representation #retrieval #using
Image Representation and Retrieval Using Structural Features (XSZ, TSH), pp. 5039–5042.
ICPR-v2-2000-HongH #learning #sequence
Learning to Extract Temporal Signal Patterns from Temporal Signal Sequence (PH, TSH), pp. 2648–2651.
ICPR-v2-2000-NaphadeCHF #learning #modelling #multi
Learning Sparse Multiple Cause Models (MRN, LSC, TSH, BJF), pp. 2642–2647.
ICPR-v3-2000-HongHT #finite #gesture #performance #recognition #state machine
Constructing Finite State Machines for Fast Gesture Recognition (PH, TSH, MT), pp. 3695–3698.
ICPR-v3-2000-NaphadeH #framework #probability #semantics #using #video
Semantic Video Indexing Using a Probabilistic Framework (MRN, TSH), pp. 3083–3088.
ICPR-1998-BrucksteinHHN #3d #estimation
New devices for 3D pose estimation: mantis eyes, Agann paintings, sundials, and other space fiducials (AMB, RJH, TSH, ANN), pp. 305–309.
ICPR-1998-ColmenarezH #detection #fault
Pattern detection with information-based maximum discrimination and error bootstrapping (AC, TSH), pp. 222–224.
ICPR-1998-KangTH #analysis #architecture #image #pattern matching #pattern recognition #recognition
An IRAM architecture for image analysis and pattern recognition (YK, JT, TSH), pp. 1561–1564.
ICPR-1998-LiuLH
Facial motion tracking from fine to coarse (QL, CL, TSH), pp. 725–727.
ICPR-1996-SharmaHPZLCS #gesture #interface #speech #visual notation
Speech/gesture interface to a visual computing environment for molecular biologists (RS, TSH, VIP, YZ, ZL, SMC, KS), pp. 964–968.
ICPR-1996-TangH #video
Characterizing smiles in the context of video phone data compression (LaT, TSH), pp. 659–663.

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