1.1k citations · 4.4k across the 93 of their papers we have counts for
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Weakly Supervised Learning of Objects, Attributes and their Associations
Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales +1
When humans describe images they tend to use combinations of nouns and adjectives, corresponding to objects and their associated attributes respectively. To generate such a descrip…
Transductive Multi-class and Multi-label Zero-shot Learning
Yanwei Fu, Yongxin Yang, Timothy M. Hospedales +2
Recently, zero-shot learning (ZSL) has received increasing interest. The key idea underpinning existing ZSL approaches is to exploit knowledge transfer via an intermediate-level se…
Transductive Multi-label Zero-shot Learning
Yanwei Fu, Yongxin Yang, Tim Hospedales +2
Zero-shot learning has received increasing interest as a means to alleviate the often prohibitive expense of annotating training data for large scale recognition problems. These me…
Transductive Multi-view Zero-Shot Learning
Yanwei Fu, Timothy M. Hospedales, Tao Xiang +1
Most existing zero-shot learning approaches exploit transfer learning via an intermediate-level semantic representation shared between an annotated auxiliary dataset and a target d…
Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels
Yanwei Fu, Timothy M. Hospedales, Tao Xiang +4
The problem of estimating subjective visual properties from image and video has attracted increasing interest. A subjective visual property is useful either on its own (e.g. image…