158 citations · 759 across the 45 of their papers we have counts for
6 papers · 1 filter
Joint Hierarchical Category Structure Learning and Large-Scale Image Classification
Yanyun Qu, Li Lin, Fumin Shen +4
We investigate the scalable image classification problem with a large number of categories. Hierarchical visual data structures are helpful for improving the efficiency and perform…
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…
Refining Image Categorization by Exploiting Web Images and General Corpus
Yazhou Yao, Jian Zhang, Fumin Shen +3
Studies show that refining real-world categories into semantic subcategories contributes to better image modeling and classification. Previous image sub-categorization work relying…
Robust and Real-time Deep Tracking Via Multi-Scale Domain Adaptation
Xinyu Wang, Hanxi Li, Yi Li +2
Visual tracking is a fundamental problem in computer vision. Recently, some deep-learning-based tracking algorithms have been achieving record-breaking performances. However, due t…