BibSLEIGH — Thomas_S

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: Huang:Thomas_S=

Contributed to:

2015

2012

2010

2008

2007

2006

2004

2002

2001

2000

1998

1996

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.