no code implementations • 23 Nov 2022 • Ketan Fatania, Kwai Y. Chau, Carolin M. Pirkl, Marion I. Menzel, Peter Hall, Mohammad Golbabaee
This paper proposes NonLinear Equivariant Imaging (NLEI), a self-supervised learning approach to eliminate the need for ground truth for deep MRF image reconstruction.
1 code implementation • 10 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.
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.
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.
no code implementations • 10 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.
no code implementations • 29 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}.
no code implementations • 24 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.
no code implementations • 24 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.
no code implementations • 16 Jul 2018 • Dun Liang, Yuanchen Guo, Shaokui Zhang, Song-Hai Zhang, Peter Hall, Min Zhang, Shi-Min Hu
Combining LineNet and TTLane, we proposed a pipeline to model HD maps with crowdsourced data for the first time.
no code implementations • 11 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.
1 code implementation • 27 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)
no code implementations • 7 Sep 2016 • Da Chen, Wenbin Li, Peter Hall
We propose an algorithm for dense motion estimation of smoke.
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.
1 code implementation • 1 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.