Self-supervised learning (SSL) techniques have recently produced outstan...
Neural Style Transfer (NST) is the field of study applying neural techni...
Existing person image generative models can do either image generation o...
Representation learning aims to discover individual salient features of ...
Style transfer is the task of reproducing the semantic contents of a sou...
We present EKILA; a decentralized framework that enables creatives to re...
This paper proposes Sparse View Synthesis. This is a view synthesis prob...
We present HyperNST; a neural style transfer (NST) technique for the art...
Pure vision transformer architectures are highly effective for short vid...
Accurate and consistent predictions of echocardiography parameters are
i...
In this work, we present an end-to-end network for stereo-consistent ima...
We present StyleBabel, a unique open access dataset of natural language
...
Transformers have recently been shown to generate high quality images fr...
Video activity recognition by deep neural networks is impressive for man...
We present ALADIN (All Layer AdaIN); a novel architecture for searching
...
Movie genre classification is an active research area in machine learnin...
We present a neural architecture search (NAS) technique to enhance the
p...
Two-dimensional echocardiography (2DE) measurements of left ventricle (L...
Spectral Doppler measurements are an important part of the standard
echo...
Spectral Doppler measurements are an important part of the standard
echo...
We present an approach to accurately estimate high fidelity markerless 3...
We present a convolutional autoencoder that enables high fidelity volume...
We present a method for simultaneously estimating 3D human pose and body...
Within the field of image and video recognition, the traditional approac...