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Hashing on Nonlinear Manifolds
Fumin Shen, Chunhua Shen, Qinfeng Shi +3
Learning based hashing methods have attracted considerable attention due to their ability to greatly increase the scale at which existing algorithms may operate. Most of these meth…
The Treasure beneath Convolutional Layers: Cross-convolutional-layer Pooling for Image Classification
Lingqiao Liu, Chunhua Shen, Anton van den Hengel
A number of recent studies have shown that a Deep Convolutional Neural Network (DCNN) pretrained on a large dataset can be adopted as a universal image description which leads to a…
Worst-Case Linear Discriminant Analysis as Scalable Semidefinite Feasibility Problems
Hui Li, Chunhua Shen, Anton van den Hengel +1
In this paper, we propose an efficient semidefinite programming (SDP) approach to worst-case linear discriminant analysis (WLDA). Compared with the traditional LDA, WLDA considers…
Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors
Lingqiao Liu, Chunhua Shen, Lei Wang +2
Deriving from the gradient vector of a generative model of local features, Fisher vector coding (FVC) has been identified as an effective coding method for image classification. Mo…
Mid-level Deep Pattern Mining
Yao Li, Lingqiao Liu, Chunhua Shen +1
Mid-level visual element discovery aims to find clusters of image patches that are both representative and discriminative. In this work, we study this problem from the prospective…
Pedestrian Detection with Spatially Pooled Features and Structured Ensemble Learning
Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel
Many typical applications of object detection operate within a prescribed false-positive range. In this situation the performance of a detector should be assessed on the basis of t…