175 citations · 1.3k across the 83 of their papers we have counts for
6 papers · 1 filter
Cross-convolutional-layer Pooling for Image Recognition
Lingqiao Liu, Chunhua Shen, Anton van den Hengel
Recent studies have shown that a Deep Convolutional Neural Network (DCNN) pretrained on a large image dataset can be used as a universal image descriptor, and that doing so leads t…
Learning Discriminative Bayesian Networks from High-dimensional Continuous Neuroimaging Data
Luping Zhou, Lei Wang, Lingqiao Liu +2
Due to its causal semantics, Bayesian networks (BN) have been widely employed to discover the underlying data relationship in exploratory studies, such as brain research. Despite i…
Mining Mid-level Visual Patterns with Deep CNN Activations
Yao Li, Lingqiao Liu, Chunhua Shen +1
The purpose of mid-level visual element discovery is to find clusters of image patches that are both representative and discriminative. Here we study this problem from the prospect…
What value do explicit high level concepts have in vision to language problems?
Qi Wu, Chunhua Shen, Lingqiao Liu +2
Much of the recent progress in Vision-to-Language (V2L) problems has been achieved through a combination of Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs…
Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition
Ruizhi Qiao, Lingqiao Liu, Chunhua Shen +1
The introduction of low-cost RGB-D sensors has promoted the research in skeleton-based human action recognition. Devising a representation suitable for characterising actions on th…
Temporal Pyramid Pooling Based Convolutional Neural Networks for Action Recognition
Peng Wang, Yuanzhouhan Cao, Chunhua Shen +2
Encouraged by the success of Convolutional Neural Networks (CNNs) in image classification, recently much effort is spent on applying CNNs to video based action recognition problems…