1 citations · 2 across the 4 of their papers we have counts for
4 papers
Adaptive Confidence Multi-View Hashing for Multimedia Retrieval
Jian Zhu, Yu Cui, Zhangmin Huang +4
The multi-view hash method converts heterogeneous data from multiple views into binary hash codes, which is one of the critical technologies in multimedia retrieval. However, the c…
Central Similarity Multi-View Hashing for Multimedia Retrieval
Jian Zhu, Wen Cheng, Yu Cui +4
Hash representation learning of multi-view heterogeneous data is the key to improving the accuracy of multimedia retrieval. However, existing methods utilize local similarity and f…
CLIP Multi-modal Hashing: A new baseline CLIPMH
Jian Zhu, Mingkai Sheng, Mingda Ke +2
The multi-modal hashing method is widely used in multimedia retrieval. It can fuse multi-source data to generate binary hash code. However, the current multi-modal methods have the…
Deep Metric Multi-View Hashing for Multimedia Retrieval
Jian Zhu, Zhangmin Huang, Xiaohu Ruan +3
Learning the hash representation of multi-view heterogeneous data is an important task in multimedia retrieval. However, existing methods fail to effectively fuse the multi-view fe…