3 citations · 3 across the 2 of their papers we have counts for
4 papers · 1 filter
Spectral-GANs for High-Resolution 3D Point-cloud Generation
Sameera Ramasinghe, Salman Khan, Nick Barnes +1
Point-clouds are a popular choice for vision and graphics tasks due to their accurate shape description and direct acquisition from range-scanners. This demands the ability to synt…
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance
Sameera Ramasinghe, Salman Khan, Nick Barnes +1
Convolution is an integral operation that defines how the shape of one function is modified by another function. This powerful concept forms the basis of hierarchical feature learn…
Combined Static and Motion Features for Deep-Networks Based Activity Recognition in Videos
Sameera Ramasinghe, Jathushan Rajasegaran, Vinoj Jayasundara +3
Activity recognition in videos in a deep-learning setting---or otherwise---uses both static and pre-computed motion components. The method of combining the two components, whilst k…
A Context-aware Capsule Network for Multi-label Classification
Sameera Ramasinghe, C. D. Athuralya, Salman Khan
Recently proposed Capsule Network is a brain inspired architecture that brings a new paradigm to deep learning by modelling input domain variations through vector based representat…