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- CSB - MetaPress - Google - Bing - Yahoo
Ask others: ACM DL/Guide - - CSB - MetaPress - Google - Bing - Yahoo
| 15 |       | Zheng-Jun Zha, Linjun Yang, Tao Mei, Meng Wang, Zengfu Wang, Tat-Seng Chua, Xian-Sheng Hua: Visual query suggestion: Towards capturing user intent in internet image search. TOMCCAP 6(3): (2010) |
| 14 | | Zheng-Jun Zha, Linjun Yang, Tao Mei, Meng Wang, Zengfu Wang: Visual query suggestion. ACM Multimedia 2009: 15-24 |
| 12 | | Zheng-Jun Zha, Tao Mei, Meng Wang, Zengfu Wang, Xian-Sheng Hua: Robust Distance Metric Learning with Auxiliary Knowledge. IJCAI 2009: 1327-1332 |
| 11 | | Zheng-Jun Zha, Tao Mei, Jingdong Wang, Zengfu Wang, Xian-Sheng Hua: Graph-based semi-supervised learning with multiple labels. J. Visual Communication and Image Representation 20(2): 97-103 (2009) |
| 9 | | Zheng-Jun Zha, Xian-Sheng Hua, Tao Mei, Jingdong Wang, Guo-Jun Qi, Zengfu Wang: Joint multi-label multi-instance learning for image classification. CVPR 2008 |
| 8 | | Zheng-Jun Zha, Tao Mei, Jingdong Wang, Zengfu Wang, Xian-Sheng Hua: Graph-based semi-supervised learning with multi-label. ICME 2008: 1321-1324 |
| 5 | | Tao Mei, Zheng-Jun Zha, Yuan Liu, Meng Wang, Guo-Jun Qi, Xinmei Tian, Jingdong Wang, Linjun Yang, Xian-Sheng Hua: MSRA atT TRECVID 2008: High-Level Feature Extraction and Automatic Search. TRECVID 2008 |
| 3 | | Zheng-Jun Zha, Tao Mei, Xian-Sheng Hua, Guo-Jun Qi, Zengfu Wang: Refining video annotation by exploiting pairwise concurrent relation. ACM Multimedia 2007: 345-348 |
| 2 | | Zheng-Jun Zha, Tao Mei, Zengfu Wang, Xian-Sheng Hua: Building a comprehensive ontology to refine video concept detection. Multimedia Information Retrieval 2007: 227-236 |
| 1 | | Tao Mei, Xian-Sheng Hua, Wei Lai, Linjun Yang, Zheng-Jun Zha, Yuan Liu, Zhiwei Gu, Guo-Jun Qi, Meng Wang, Jinhui Tang, Xun Yuan, Zheng Lu, Jingjing Liu: MSRA-USTC-SJTU AT TRECVID 2007: HIGH-LEVEL FEATURE EXTRACTION AND SEARCH. TRECVID 2007 |
Selection of 10 from 51 records - Zheng-Jun Zha has 71 coauthors
Last update 2012-09-10 CET by the DBLP Team —
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