research
∙
11/23/2022
Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI
Current state-of-the-art reconstruction for quantitative tissue maps fro...
share
research
∙
02/10/2022
A Plug-and-Play Approach to Multiparametric Quantitative MRI: Image Reconstruction using Pre-Trained Deep Denoisers
Current spatiotemporal deep learning approaches to Magnetic Resonance Fi...
research
∙
07/10/2020
Geometric Style Transfer
Neural style transfer (NST), where an input image is rendered in the sty...
research
∙
04/03/2020
VGPN: Voice-Guided Pointing Robot Navigation for Humans
Pointing gestures are widely used in robot navigationapproaches nowadays...
research
∙
07/29/2019
Artistic Domain Generalisation Methods are Limited by their Deep Representations
The cross-depiction problem refers to the task of recognising visual obj...
research
∙
05/24/2019
Rank3DGAN: Semantic mesh generation using relative attributes
In this paper, we investigate a novel problem of using generative advers...
research
∙
11/24/2018
What and Where: A Context-based Recommendation System for Object Insertion
In this work, we propose a novel topic consisting of two dual tasks: 1) ...
research
∙
07/16/2018
LineNet: a Zoomable CNN for Crowdsourced High Definition Maps Modeling in Urban Environments
High Definition (HD) maps play an important role in modern traffic scene...
research
∙
04/11/2018
Ranking Generative Adversarial Networks: Subjective Control over Semantic Image Attributes
In this paper, we investigate the use of generative adversarial networks...
research
∙
01/20/2018
A frequency domain analysis of the error distribution from noisy high-frequency data
Data observed at high sampling frequency are typically assumed to be an ...
research
∙
10/27/2016
Detecting People in Artwork with CNNs
CNNs have massively improved performance in object detection in photogra...
research
∙
09/07/2016
Dense Motion Estimation for Smoke
Motion estimation for highly dynamic phenomena such as smoke is an open ...
research
∙
05/01/2015
The Cross-Depiction Problem: Computer Vision Algorithms for Recognising Objects in Artwork and in Photographs
The cross-depiction problem is that of recognising visual objects regard...
research
∙
10/29/2008