642 citations · 3.9k across the 143 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…
Zero-Shot Domain Adaptation via Kernel Regression on the Grassmannian
Yongxin Yang, Timothy Hospedales
Most visual recognition methods implicitly assume the data distribution remains unchanged from training to testing. However, in practice domain shift often exists, where real-world…
When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition
Guosheng Hu, Yongxin Yang, Dong Yi +4
Deep learning, in particular Convolutional Neural Network (CNN), has achieved promising results in face recognition recently. However, it remains an open question: why CNNs work we…
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…
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…
Sketch-a-Net that Beats Humans
Qian Yu, Yongxin Yang, Yi-Zhe Song +2
We propose a multi-scale multi-channel deep neural network framework that, for the first time, yields sketch recognition performance surpassing that of humans. Our superior perform…
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…