260 citations · 687 across the 25 of their papers we have counts for
4 papers · 1 filter
Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval
Yuming Shen, Li Liu, Ling Shao +1
Cross-modal hashing is usually regarded as an effective technique for large-scale textual-visual cross retrieval, where data from different modalities are mapped into a shared Hamm…
Towards Automatic Construction of Diverse, High-quality Image Dataset
Yazhou Yao, Jian Zhang, Fumin Shen +4
The availability of labeled image datasets has been shown critical for high-level image understanding, which continuously drives the progress of feature designing and models develo…
From Zero-shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis
Yang Long, Li Liu, Ling Shao +3
Robust object recognition systems usually rely on powerful feature extraction mechanisms from a large number of real images. However, in many realistic applications, collecting suf…
Deep Sketch Hashing: Fast Free-hand Sketch-Based Image Retrieval
Li Liu, Fumin Shen, Yuming Shen +2
Free-hand sketch-based image retrieval (SBIR) is a specific cross-view retrieval task, in which queries are abstract and ambiguous sketches while the retrieval database is formed w…