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09/25/2019
Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction
We present simple reconstruction networks for multi-coil data by extendi...
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07/14/2019
Smile, be Happy :) Emoji Embedding for Visual Sentiment Analysis
Due to the lack of large-scale datasets, the prevailing approach in visu...
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02/11/2019
Deep Hashing using Entropy Regularised Product Quantisation Network
In large scale systems, approximate nearest neighbour search is a crucia...
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12/05/2017
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
Accelerating the data acquisition of dynamic magnetic resonance imaging ...
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11/16/2017
Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks
Frame interpolation attempts to synthesise intermediate frames given one...
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07/10/2017
Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize
The most prominent problem associated with the deconvolution layer is th...
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05/22/2017
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation
Incorporation of prior knowledge about organ shape and location is key t...
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04/08/2017
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
Inspired by recent advances in deep learning, we propose a framework for...
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03/01/2017
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction
The acquisition of Magnetic Resonance Imaging (MRI) is inherently slow. ...
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11/16/2016
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation
Convolutional neural networks have enabled accurate image super-resoluti...
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10/14/2016
Amortised MAP Inference for Image Super-resolution
Image super-resolution (SR) is an underdetermined inverse problem, where...
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09/22/2016
Is the deconvolution layer the same as a convolutional layer?
In this note, we want to focus on aspects related to two questions most ...
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09/16/2016
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Recently, several models based on deep neural networks have achieved gre...
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09/15/2016
