| 2009 |
|---|
| 14 | EE | Lifang Yu,
Yao Zhao,
Rongrong Ni,
Zhenfeng Zhu:
PM1 steganography in JPEG images using genetic algorithm.
Soft Comput. 13(4): 393-400 (2009) |
| 2008 |
|---|
| 13 | EE | Fang Wang,
Zhenfeng Zhu,
Yao Zhao:
Strategy of combining random subspace and diversified active learning in CBIR.
ICIP 2008: 2152-2155 |
| 12 | EE | Yufeng Zhao,
Yao Zhao,
Zhenfeng Zhu,
Jeng-Shyang Pan:
MRS-MIL: Minimum reference set based multiple instance learning for automatic image annotation.
ICIP 2008: 2160-2163 |
| 11 | EE | Shikui Wei,
Yao Zhao,
Zhenfeng Zhu:
Ontology-Based Inter-concept Relation Fusion for Concept Detection.
PCM 2008: 721-730 |
| 2007 |
|---|
| 10 | EE | Zhenfeng Zhu,
Yao Zhao,
Hanqing Lu:
Sequential Architecture for Efficient Car Detection.
CVPR 2007 |
| 9 | EE | Liang Zhang,
Zhenfeng Zhu,
Yao Zhao:
Robust Commercial Detection System.
ICME 2007: 587-590 |
| 8 | EE | Zhenfeng Zhu,
Hanqing Lu,
Yao Zhao:
Scale multiplication in odd Gabor transform domain for edge detection.
J. Visual Communication and Image Representation 18(1): 68-80 (2007) |
| 2006 |
|---|
| 7 | EE | Zhenfeng Zhu,
Hanqing Lu,
Yao Zhao:
Multi-Scale Analysis of Odd Gabor Transform for Edge Detection.
ICICIC (2) 2006: 578-581 |
| 6 | EE | Yufeng Zhao,
Yao Zhao,
Zhenfeng Zhu:
Seeking User's Query Concept Dynamically Based on Region in Relevance Feedback.
ICICIC (2) 2006: 664-668 |
| 5 | EE | Xiaoxia Xie,
Yao Zhao,
Zhenfeng Zhu:
An Anamnestic Semantic Tree-Based Relevance Feedback Method in CBIR System.
ICICIC (3) 2006: 91-94 |
| 4 | | Yufeng Zhao,
Yao Zhao,
Zhenfeng Zhu:
Relevance Feedback based on Query Refining and Feature Database Updating in CBIR System.
SPPRA 2006: 123-126 |
| 3 | | Xiaoxia Xie,
Yao Zhao,
Zhenfeng Zhu:
A Comprehensive Analysis for Relevance Feedback in CBIR System.
SPPRA 2006: 183-188 |
| 2004 |
|---|
| 2 | EE | Zhenfeng Zhu,
Hanqing Lu,
James Hu,
Keiichi Uchimura:
Car Detection Based on Multi-Cues Integration.
ICPR (2) 2004: 699-702 |
| 1 | EE | Zhenfeng Zhu,
Ming Tang,
Hanqing Lu:
A new robust circular Gabor based object matching by using weighted Hausdorff distance.
Pattern Recognition Letters 25(4): 515-523 (2004) |
