A successful application of quantum annealing to machine learning is tra...
Many applications in image-guided surgery and therapy require fast and
r...
Fitting geometric models onto outlier contaminated data is provably
intr...
Data collected by Earth-observing (EO) satellites are often afflicted by...
Deep neural networks (DNNs) have become essential for processing the vas...
Quantum annealing is a promising paradigm for building practical quantum...
Generalised zero-shot learning (GZSL) is a classification problem where ...
Generalised zero-shot learning (GZSL) methods aim to classify previously...
In this paper, we introduce a variation of a state-of-the-art real-time
...
Generalized zero shot learning (GZSL) is defined by a training process
c...
In this paper, we present a method for instance ranking and retrieval at...
DeepFashion is a widely used clothing dataset with 50 categories and mor...
In this paper, we examine the real-time recovery of a video tracker from...
In image retrieval, the features extracted from an item are used to look...