551 citations · 2.1k across the 69 of their papers we have counts for
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Transductive Zero-Shot Action Recognition by Word-Vector Embedding
Xun Xu, Timothy Hospedales, Shaogang Gong
The number of categories for action recognition is growing rapidly and it has become increasingly hard to label sufficient training data for learning conventional models for all ca…
Free-hand Sketch Synthesis with Deformable Stroke Models
Yi Li, Yi-Zhe Song, Timothy Hospedales +1
We present a generative model which can automatically summarize the stroke composition of free-hand sketches of a given category. When our model is fit to a collection of sketches…
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…
Learning from Multiple Sources for Video Summarisation
Xiatian Zhu, Chen Change Loy, Shaogang Gong
Many visual surveillance tasks, e.g.video summarisation, is conventionally accomplished through analysing imagerybased features. Relying solely on visual cues for public surveillan…
Semantic Embedding Space for Zero-Shot Action Recognition
Xun Xu, Timothy Hospedales, Shaogang Gong
The number of categories for action recognition is growing rapidly. It is thus becoming increasingly hard to collect sufficient training data to learn conventional models for each…
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…