219 citations · 231 across the 5 of their papers we have counts for
5 papers · 1 filter
Boundary-sensitive Pre-training for Temporal Localization in Videos
Mengmeng Xu, Juan-Manuel Perez-Rua, Victor Escorcia +5
Many video analysis tasks require temporal localization thus detection of content changes. However, most existing models developed for these tasks are pre-trained on general video…
Highly Efficient Regression for Scalable Person Re-Identification
Hanxiao Wang, Shaogang Gong, Tao Xiang
Existing person re-identification models are poor for scaling up to large data required in real-world applications due to: (1) Complexity: They employ complex models for optimal pe…
Deep Transfer Learning for Person Re-identification
Mengyue Geng, Yaowei Wang, Tao Xiang +1
Person re-identification (Re-ID) poses a unique challenge to deep learning: how to learn a deep model with millions of parameters on a small training set of few or no labels. In th…
Semantic Regularisation for Recurrent Image Annotation
Feng Liu, Tao Xiang, Timothy M. Hospedales +2
The "CNN-RNN" design pattern is increasingly widely applied in a variety of image annotation tasks including multi-label classification and captioning. Existing models use the weak…
Semantic Graph for Zero-Shot Learning
Zhen-Yong Fu, Tao Xiang, Shaogang Gong
Zero-shot learning aims to classify visual objects without any training data via knowledge transfer between seen and unseen classes. This is typically achieved by exploring a seman…