551 citations · 955 across the 27 of their papers we have counts for
6 papers · 1 filter
Class Rectification Hard Mining for Imbalanced Deep Learning
Qi Dong, Shaogang Gong, Xiatian Zhu
Recognising detailed facial or clothing attributes in images of people is a challenging task for computer vision, especially when the training data are both in very large scale and…
Recent Advances in Zero-shot Recognition
Yanwei Fu, Tao Xiang, Yu-Gang Jiang +3
With the recent renaissance of deep convolution neural networks, encouraging breakthroughs have been achieved on the supervised recognition tasks, where each class has sufficient t…
Attribute Recognition by Joint Recurrent Learning of Context and Correlation
Jingya Wang, Xiatian Zhu, Shaogang Gong +1
Recognising semantic pedestrian attributes in surveillance images is a challenging task for computer vision, particularly when the imaging quality is poor with complex background c…
Actor-Critic Sequence Training for Image Captioning
Li Zhang, Flood Sung, Feng Liu +4
Generating natural language descriptions of images is an important capability for a robot or other visual-intelligence driven AI agent that may need to communicate with human users…
Discovering Visual Concept Structure with Sparse and Incomplete Tags
Jingya Wang, Xiatian Zhu, Shaogang Gong
Discovering automatically the semantic structure of tagged visual data (e.g. web videos and images) is important for visual data analysis and interpretation, enabling the machine i…
Person Re-Identification by Deep Joint Learning of Multi-Loss Classification
Wei Li, Xiatian Zhu, Shaogang Gong
Existing person re-identification (re-id) methods rely mostly on either localised or global feature representation alone. This ignores their joint benefit and mutual complementary…