2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 2 cited
Points to Patches: Enabling the Use of Self-Attention for 3D Shape Recognition
Axel Berg, Magnus Oskarsson, Mark O'Connor
While the Transformer architecture has become ubiquitous in the machine learning field, its adaptation to 3D shape recognition is non-trivial. Due to its quadratic computational co…
cs.LG2020★ 1 cited
Variance Constrained Autoencoding
D. T. Braithwaite, M. O'Connor, W. B. Kleijn
Recent state-of-the-art autoencoder based generative models have an encoder-decoder structure and learn a latent representation with a pre-defined distribution that can be sampled…