259 citations · 942 across the 44 of their papers we have counts for
4 papers · 1 filter
Learning to Continually Learn Rapidly from Few and Noisy Data
Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier +3
Neural networks suffer from catastrophic forgetting and are unable to sequentially learn new tasks without guaranteed stationarity in data distribution. Continual learning could be…
MTL2L: A Context Aware Neural Optimiser
Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier +3
Learning to learn (L2L) trains a meta-learner to assist the learning of a task-specific base learner. Previously, it was shown that a meta-learner could learn the direct rules to u…
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…