For widespread adoption, public security and surveillance systems must b...
This paper presents a new continuous interaction strategy with visual
fe...
The adaptation of transformers to computer vision is not straightforward...
We propose a novel transformer model, capable of segmenting medical imag...
We develop a rotation equivariant model for generating 3D hand meshes fr...
We present CpT: Convolutional point Transformer - a novel deep learning
...
Leakage of data from publicly available Machine Learning (ML) models is ...
The application of deep learning to 3D point clouds is challenging due t...
Given that convolutional neural networks extract features via learning
c...
Loss functions are error metrics that quantify the difference between a
...
Deep neural networks have established themselves as the state-of-the-art...
We propose a novel technique to incorporate attention within convolution...