no code implementations • 25 Sep 2019 • Amarjot Singh, Jay McClelland
Continuous learning has been a long-standing challenge for neural networks as the repeated acquisition of information from non-uniform data distributions generally lead to catastrophic forgetting or interference.
no code implementations • 3 Jun 2018 • Amarjot Singh, Devendra Patil, SN Omkar
The image region with the human is used by the proposed ScatterNet Hybrid Deep Learning (SHDL) network for human pose estimation.
no code implementations • 9 Feb 2018 • Amarjot Singh, Nick Kingsbury
This paper proposes a generative ScatterNet hybrid deep learning (G-SHDL) network for semantic image segmentation.
no code implementations • 30 Aug 2017 • Amarjot Singh, Nick Kingsbury
The paper proposes the ScatterNet Hybrid Deep Learning (SHDL) network that extracts invariant and discriminative image representations for object recognition.
no code implementations • 30 Aug 2017 • Amarjot Singh, Devendra Patil, G Meghana Reddy, SN Omkar
Disguised face identification (DFI) is an extremely challenging problem due to the numerous variations that can be introduced using different disguises.
no code implementations • 30 Aug 2017 • Amarjot Singh, Devamanyu Hazarika, Aniruddha Bhattacharya
Automation of brain matter segmentation from MR images is a challenging task due to the irregular boundaries between the grey and white matter regions.
no code implementations • 30 Aug 2017 • Amarjot Singh, Nick Kingsbury
The ScatterNet extracts edge based invariant representations that are used by the later layers of the CNN to learn high-level features.
no code implementations • 7 Apr 2017 • Vibin Vijay, Raghunath Vp, Amarjot Singh, SN Omar
However, data clustering greatly relies on initialization of cluster centers that can result in large intra-cluster variance and dead centers, therefore leading to sub-optimal solutions.
no code implementations • 10 Feb 2017 • Amarjot Singh, Nick Kingsbury
This paper introduces a Deep Scattering network that utilizes Dual-Tree complex wavelets to extract translation invariant representations from an input signal.
no code implementations • 10 Feb 2017 • Amarjot Singh, Nick Kingsbury
We introduce a ScatterNet that uses a parametric log transformation with Dual-Tree complex wavelets to extract translation invariant representations from a multi-resolution image.