BibSLEIGH — Qiang

Travelled to:

1 × Australia
1 × Japan
1 × Sweden
1 × Turkey
1 × USA
1 × United Kingdom
2 × China
4 × Canada

Collaborated with:

X.Wang Z.Zhu J.Chen C.P.d.Campos Y.Tong S.Wang S.Nie Z.Zeng L.Zhang P.Wang Z.Wang G.Schalk Y.Wu Y.Zhu W.Liao Y.Xie X.Yang R.M.Haralick T.Gao J.Wang R.Zhao Y.Li Y.Zhao L.C.Tran K.P.Bennett L.Liang B.F.McEwen L.Yue Z.Wang Y.Zhao G.Yang X.Xu Z.Wang K.J.Miller Y.Wang X.Wang N.Penwarden K.Fujimura K.Lee B.Wu Z.Liu B.Hu

Talks about:

learn (12) facial (9) recognit (8) track (8) bayesian (7) model (7) use (7) featur (6) network (5) hidden (5)

Person: Qiang Ji

DBLP: Ji:Qiang

Contributed to:

2014

2012

2010

2009

2008

2006

2004

2002

1998

Wrote 38 papers:

ICPR-2014-NieJ #learning #linear #using: Feature Learning Using Bayesian Linear Regression Model (SN, QJ), pp. 1502–1507.
ICPR-2014-NieJ14a #recognition: Capturing Global and Local Dynamics for Human Action Recognition (SN, QJ), pp. 1946–1951.
ICPR-2014-WangGJ #learning #using: Learning with Hidden Information Using a Max-Margin Latent Variable Model (ZW, TG, QJ), pp. 1389–1394.
ICPR-2014-WangJ: Attribute Augmentation with Sparse Coding (XW, QJ), pp. 4352–4357.
ICPR-2014-WangWJ #learning: Learning with Hidden Information (ZW, XW, QJ), pp. 238–243.
ICPR-2014-WangWJ14a #markov #modelling #recognition #using: Early Facial Expression Recognition Using Hidden Markov Models (JW, SW, QJ), pp. 4594–4599.
ICPR-2014-WuJ #detection #learning: Learning the Deep Features for Eye Detection in Uncontrolled Conditions (YW, QJ), pp. 455–459.
ICPR-2014-WuLWHJ #learning #multi: Multi-label Learning with Missing Labels (BW, ZL, SW, BGH, QJ), pp. 1964–1968.
ICPR-2014-ZhaoSJ #classification #markov: Coupled Hidden Markov Model for Electrocorticographic Signal Classification (RZ, GS, QJ), pp. 1858–1862.
ICPR-2014-ZhuWYJ #learning #modelling #multi #recognition #semantics: Multiple-Facial Action Unit Recognition by Shared Feature Learning and Semantic Relation Modeling (YZ, SW, LY, QJ), pp. 1663–1668.
ICPR-2012-LiZJ #process #recognition: Simultaneous facial activity tracking and recognition (YL, YZ, QJ), pp. 1017–1020.
ICPR-2012-WangJ #network #recognition: Incorporating contextual knowledge to Dynamic Bayesian Networks for event recognition (XW, QJ), pp. 3378–3381.
ICPR-2012-WangJ12a #approach #novel #probability #recognition: A novel probabilistic approach utilizing clip attribute as hidden knowledge for event recognition (XW, QJ), pp. 3382–3385.
ICPR-2012-WangJ12b #learning #network #process #recognition: Learning dynamic Bayesian network discriminatively for human activity recognition (XW, QJ), pp. 3553–3556.
ICPR-2012-WangWZJ #analysis #bias #database: Bias analyses of spontaneous facial expression database (ZW, SW, YZ, QJ), pp. 2926–2929.
ICPR-2012-ZhaoYXJ #learning: A near-optimal non-myopic active learning method (YZ, GY, XX, QJ), pp. 1715–1718.
ICPR-2010-CamposZJ: An Improved Structural EM to Learn Dynamic Bayesian Nets (CPdC, ZZ, QJ), pp. 601–604.
ICPR-2010-ChenJ #3d #performance #self: Efficient 3D Upper Body Tracking with Self-Occlusions (JC, QJ), pp. 3636–3639.
ICPR-2010-WangJMS #process #using: Decoding Finger Flexion from Electrocorticographic Signals Using a Sparse Gaussian Process (ZW, QJ, KJM, GS), pp. 3756–3759.
ICML-2009-CamposZJ #constraints #learning #network #using: Structure learning of Bayesian networks using constraints (CPdC, ZZ, QJ), pp. 113–120.
ICPR-2008-CamposJ #constraints #learning #network #parametricity #using: Improving Bayesian Network parameter learning using constraints (CPdC, QJ), pp. 1–4.
ICPR-2008-ChenJ #3d #estimation #information retrieval: 3D gaze estimation with a single camera without IR illumination (JC, QJ), pp. 1–4.
ICPR-2008-LiaoJ #learning #network #parametricity #semistructured data: Exploiting qualitative domain knowledge for learning Bayesian network parameters with incomplete data (WL, QJ), pp. 1–4.
ICPR-2008-ZhangCZJ #2d #3d #framework: 2D and 3D upper body tracking with one framework (LZ, JC, ZZ, QJ), pp. 1–4.
ICPR-2008-ZhangTJ #interactive: Interactive labeling of facial action units (LZ, YT, QJ), pp. 1–4.
ICPR-v1-2006-TongJ #multi #probability: Multiview Facial Feature Tracking with a Multi-modal Probabilistic Model (YT, QJ), pp. 307–310.
ICPR-v1-2006-TongWZJ #multi #using: Facial Feature Tracking using a Multi-State Hierarchical Shape Model under Varying Face Pose and Facial Expression (YT, YW, ZZ, QJ), pp. 283–286.
ICPR-v1-2006-WangTJ #image #online #recognition: Improving Face Recognition by Online Image Alignment (PW, LCT, QJ), pp. 311–314.
ICPR-v1-2006-ZhuJ #detection #invariant #realtime #robust: Robust Pose Invariant Facial Feature Detection and Tracking in Real-Time (ZZ, QJ), pp. 1092–1095.
ICPR-v1-2006-ZhuJB #estimation: Nonlinear Eye Gaze Mapping Function Estimation via Support Vector Regression (ZZ, QJ, KPB), pp. 1132–1135.
ICPR-v2-2006-ZhangWPJ #framework #image #segmentation: An Image Segmentation Framework Based on Patch Segmentation Fusion (LZ, XW, NP, QJ), pp. 187–190.
ICPR-v4-2004-WangJ #detection #multi: Multi-View Face Detection under Complex Scene based on Combined SVMs (PW, QJ), pp. 179–182.
ICPR-v4-2004-ZhuJ #3d: 3D Face Pose Tracking From an Uncalibrated Monocular Camera (ZZ, QJ), pp. 400–403.
ICPR-v1-2002-LiangJM #3d #image: Extraction of 3D Microtubules Axes from Celluar Electron Tomography Images (LL, QJ, BFM), pp. 804–807.
ICPR-v2-2002-XieJ #detection #performance: A New Efficient Ellipse Detection Method (YX, QJ), pp. 957–960.
ICPR-v4-2002-JiY #3d #information retrieval #realtime: Real Time 3D Face Pose Discrimination Based On Active IR Illumination (QJ, XY), pp. 310–313.
ICPR-v4-2002-ZhuJFL #eye tracking #information retrieval #realtime: Combining Kalman Filtering and Mean Shift for Real Time Eye Tracking under Active IR Illumination (ZZ, QJ, KF, KL), p. 318–?.
ICPR-1998-JiH #framework #geometry #statistics: A statistical framework for geometric tolerancing manufactured parts (QJ, RMH), pp. 1728–1730.