323 citations · 1.4k across the 44 of their papers we have counts for
4 papers · 1 filter
Scalable Bayesian Deep Learning with Kernel Seed Networks
Sam Maksoud, Kun Zhao, Can Peng +1
This paper addresses the scalability problem of Bayesian deep neural networks. The performance of deep neural networks is undermined by the fact that these algorithms have poorly c…
Determining the best attributes for surveillance video keywords generation
Liangchen Liu, Arnold Wiliem, Shaokang Chen +2
Automatic video keyword generation is one of the key ingredients in reducing the burden of security officers in analyzing surveillance videos. Keywords or attributes are generally…
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds
Mehrtash Harandi, Richard Hartley, Chunhua Shen +2
Sparsity-based representations have recently led to notable results in various visual recognition tasks. In a separate line of research, Riemannian manifolds have been shown useful…
Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach
Mehrtash T. Harandi, Conrad Sanderson, Richard Hartley +1
Recent advances suggest that a wide range of computer vision problems can be addressed more appropriately by considering non-Euclidean geometry. This paper tackles the problem of s…