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8 papers · 1 filter
Deep Convolutional Neural Fields for Depth Estimation from a Single Image
Fayao Liu, Chunhua Shen, Guosheng Lin
We consider the problem of depth estimation from a single monocular image in this work. It is a challenging task as no reliable depth cues are available, e.g., stereo correspondenc…
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…
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…
Bags of Affine Subspaces for Robust Object Tracking
Sareh Shirazi, Conrad Sanderson, Chris McCool +1
We propose an adaptive tracking algorithm where the object is modelled as a continuously updated bag of affine subspaces, with each subspace constructed from the object's appearanc…