Search Results for author: Peter Hall

Found 14 papers, 5 papers with code

A Plug-and-Play Approach to Multiparametric Quantitative MRI: Image Reconstruction using Pre-Trained Deep Denoisers

1 code implementation10 Feb 2022 Ketan Fatania, Carolin M. Pirkl, Marion I. Menzel, Peter Hall, Mohammad Golbabaee

This paper proposes an iterative deep learning plug-and-play reconstruction approach to MRF which is adaptive to the forward acquisition process.

De-aliasing Image Reconstruction +1

Geometric and Textural Augmentation for Domain Gap Reduction

1 code implementation CVPR 2022 Xiao-Chang Liu, Yong-Liang Yang, Peter Hall

Research has shown that convolutional neural networks for object recognition are vulnerable to changes in depiction because learning is biased towards the low-level statistics of texture patches.

Object Object Recognition +1

Learning To Warp for Style Transfer

1 code implementation CVPR 2021 Xiao-Chang Liu, Yong-Liang Yang, Peter Hall

Since its inception in 2015, Style Transfer has focused on texturing a content image using an art exemplar.

Style Transfer

Geometric Style Transfer

no code implementations10 Jul 2020 Xiao-Chang Liu, Xuan-Yi Li, Ming-Ming Cheng, Peter Hall

Our contribution is to introduce a neural architecture that supports transfer of geometric style.

Style Transfer

Artistic Domain Generalisation Methods are Limited by their Deep Representations

no code implementations29 Jul 2019 Padraig Boulton, Peter Hall

The cross-depiction problem refers to the task of recognising visual objects regardless of their depictions; whether photographed, painted, sketched, {\em etc}.

Domain Adaptation

Rank3DGAN: Semantic mesh generation using relative attributes

no code implementations24 May 2019 Yassir Saquil, Qun-Ce Xu, Yong-Liang Yang, Peter Hall

In this paper, we investigate a novel problem of using generative adversarial networks in the task of 3D shape generation according to semantic attributes.

3D Shape Generation Attribute +1

What and Where: A Context-based Recommendation System for Object Insertion

no code implementations24 Nov 2018 Song-Hai Zhang, Zhengping Zhou, Bin Liu, Xin Dong, Dun Liang, Peter Hall, Shi-Min Hu

In this work, we propose a novel topic consisting of two dual tasks: 1) given a scene, recommend objects to insert, 2) given an object category, retrieve suitable background scenes.

Object

Ranking CGANs: Subjective Control over Semantic Image Attributes

no code implementations11 Apr 2018 Yassir Saquil, Kwang In Kim, Peter Hall

In this paper, we investigate the use of generative adversarial networks in the task of image generation according to subjective measures of semantic attributes.

Attribute Image Generation

Detecting People in Artwork with CNNs

1 code implementation27 Oct 2016 Nicholas Westlake, Hongping Cai, Peter Hall

CNNs have massively improved performance in object detection in photographs.

Ranked #6 on Object Detection on PeopleArt (mAP@0.5 metric)

Object object-detection +2

Dense Motion Estimation for Smoke

no code implementations7 Sep 2016 Da Chen, Wenbin Li, Peter Hall

We propose an algorithm for dense motion estimation of smoke.

Motion Estimation

Learning Similarity Metrics for Dynamic Scene Segmentation

no code implementations CVPR 2015 Damien Teney, Matthew Brown, Dmitry Kit, Peter Hall

This paper addresses the segmentation of videos with arbitrary motion, including dynamic textures, using novel motion features and a supervised learning approach.

Metric Learning Motion Segmentation +3

The Cross-Depiction Problem: Computer Vision Algorithms for Recognising Objects in Artwork and in Photographs

1 code implementation1 May 2015 Hongping Cai, Qi Wu, Tadeo Corradi, Peter Hall

The cross-depiction problem is that of recognising visual objects regardless of whether they are photographed, painted, drawn, etc.

Domain Adaptation

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