Zhang, Hongjiang

29 publications

AISTATS 2009 Non-Negative Semi-Supervised Learning Changhu Wang, Shuicheng Yan, Lei Zhang, Hongjiang Zhang

CVPR 2008 Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classification, Segmentation and Recognition Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang Zhang

NeurIPS 2007 Rapid Inference on a Novel AND/OR Graph for Object Detection, Segmentation and Parsing Yuanhao Chen, Long Zhu, Chenxi Lin, Hongjiang Zhang, Alan L. Yuille

ICCV 2005 A Probabilistic Semantic Model for Image Annotation and Multi-Modal Image Retrieva Ruofei Zhang, Zhongfei (Mark) Zhang, Mingjing Li, Wei-Ying Ma, HongJiang Zhang

CVPR 2005 A Unified Optimization Based Learning Method for Image Retrieval Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Changshui Zhang, HongJiang Zhang

CVPR 2005 Concurrent Subspaces Analysis Dong Xu, Shuicheng Yan, Lei Zhang, HongJiang Zhang, Zhengkai Liu, Heung-Yeung Shum

CVPR 2005 Coupled Kernel-Based Subspace Learning Shuicheng Yan, Dong Xu, Lei Zhang, Benyu Zhang, HongJiang Zhang

CVPR 2005 Discriminant Analysis with Tensor Representation Shuicheng Yan, Dong Xu, Qiang Yang, Lei Zhang, Xiaoou Tang, HongJiang Zhang

CVPR 2005 Graph Embedding: A General Framework for Dimensionality Reduction Shuicheng Yan, Dong Xu, Benyu Zhang, HongJiang Zhang

CVPR 2005 Mapping Low-Level Features to High-Level Semantic Concepts in Region-Based Image Retrieval Wei Jiang, Kap Luk Chan, Mingjing Li, HongJiang Zhang

ICCV 2005 Neighborhood Preserving Embedding Xiaofei He, Deng Cai, Shuicheng Yan, HongJiang Zhang

ECCV 2004 Discriminant Analysis on Embedded Manifold Shuicheng Yan, HongJiang Zhang, Yuxiao Hu, Benyu Zhang, QianSheng Cheng

ICCV 2003 Automatic Video Summarization by Graph Modeling Chong-Wah Ngo, Yufei Ma, HongJiang Zhang

CVPR 2003 Bayesian Tangent Shape Model: Estimating Shape and Pose Parameters via Bayesian Inference Yi Zhou, Lie Gu, HongJiang Zhang

ICCV 2003 Boosting Chain Learning for Object Detection Rong Xiao, Long Zhu, HongJiang Zhang

UAI 2003 Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying Ma, HongJiang Zhang

ICCV 2003 Learning a Locality Preserving Subspace for Visual Recognition Xiaofei He, Shuicheng Yan, Yuxiao Hu, HongJiang Zhang

ICCV 2003 Ranking Prior Likelihood Distributions for Bayesian Shape Localization Framework Shuicheng Yan, Mingjing Li, HongJiang Zhang, QianSheng Cheng

NeurIPS 2002 FloatBoost Learning for Classification Stan Z. Li, Zhenqiu Zhang, Heung-yeung Shum, Hongjiang Zhang

ECCV 2002 Statistical Learning of Multi-View Face Detection Stan Z. Li, Long Zhu, ZhenQiu Zhang, Andrew Blake, HongJiang Zhang, Harry Shum

CVPR 2001 Direct Appearance Models Xinwen Hou, Stan Z. Li, HongJiang Zhang, QianSheng Cheng

ICCV 2001 Kernel Machine Based Learning for Multi-View Face Detection and Pose Estimation Stan Z. Li, QingDong Fu, Lie Gu, Bernhard Schölkopf, Yimin Cheng, HongJiang Zhang

ICCV 2001 Learning Low Dimensional Invariant Signature of 3-D Object Under Varying View and Illumination from 2-D Appearances Stan Z. Li, Jie Yan, Xinwen Hou, Zeyu Li, HongJiang Zhang

CVPR 2001 Learning Probabilistic Distribution Model for Multi-View Face Detection Lie Gu, Stan Z. Li, HongJiang Zhang

CVPR 2001 Learning Representative Local Features for Face Detection Xiangrong Chen, Lie Gu, Stan Z. Li, HongJiang Zhang

CVPR 2001 Learning Similarity Measure for Natural Image Retrieval with Relevance Feedback Guodong Guo, Anil K. Jain, Wei-Ying Ma, HongJiang Zhang

CVPR 2001 Learning Spatially Localized, Parts-Based Representation Stan Z. Li, Xinwen Hou, HongJiang Zhang, QianSheng Cheng

ICCV 2001 Pairwise Face Recognition Guodong Guo, HongJiang Zhang, Stan Z. Li

ICCV 2001 View-Based Clustering of Object Appearances Based on Independent Subspace Analysis Stan Z. Li, XiaoGuang Lv, HongJiang Zhang