Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Hall, Peter A."'
There is a large body of work studying what forms of computational hardness are needed to realize classical cryptography. In particular, one-way functions and pseudorandom generators can be built from each other, and thus require equivalent computati
Externí odkaz:
http://arxiv.org/abs/2312.08363
Autor:
Fatania, Ketan, Chau, Kwai Y., Pirkl, Carolin M., Menzel, Marion I., Hall, Peter, Golbabaee, Mohammad
Current state-of-the-art reconstruction for quantitative tissue maps from fast, compressive, Magnetic Resonance Fingerprinting (MRF), use supervised deep learning, with the drawback of requiring high-fidelity ground truth tissue map training data whi
Externí odkaz:
http://arxiv.org/abs/2211.12786
Current spatiotemporal deep learning approaches to Magnetic Resonance Fingerprinting (MRF) build artefact-removal models customised to a particular k-space subsampling pattern which is used for fast (compressed) acquisition. This may not be useful wh
Externí odkaz:
http://arxiv.org/abs/2202.05269
Neural style transfer (NST), where an input image is rendered in the style of another image, has been a topic of considerable progress in recent years. Research over that time has been dominated by transferring aspects of color and texture, yet these
Externí odkaz:
http://arxiv.org/abs/2007.05471
Pointing gestures are widely used in robot navigationapproaches nowadays. However, most approaches only use point-ing gestures, and these have two major limitations. Firstly, they need to recognize pointing gestures all the time, which leads to long
Externí odkaz:
http://arxiv.org/abs/2004.01600
Autor:
Boulton, Padraig, Hall, Peter
The cross-depiction problem refers to the task of recognising visual objects regardless of their depictions; whether photographed, painted, sketched, {\em etc}. In the past, some researchers considered cross-depiction to be domain adaptation (DA). Mo
Externí odkaz:
http://arxiv.org/abs/1907.12622
Autor:
Wang, Miao, Yang, Guo-Ye, Li, Ruilong, Liang, Run-Ze, Zhang, Song-Hai, Hall, Peter. M., Hu, Shi-Min
Example-guided image synthesis aims to synthesize an image from a semantic label map and an exemplary image indicating style. We use the term "style" in this problem to refer to implicit characteristics of images, for example: in portraits "style" in
Externí odkaz:
http://arxiv.org/abs/1906.01314
In this paper, we investigate a novel problem of using generative adversarial networks in the task of 3D shape generation according to semantic attributes. Recent works map 3D shapes into 2D parameter domain, which enables training Generative Adversa
Externí odkaz:
http://arxiv.org/abs/1905.10257
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. A bounding box for the inserted object is predicted in both tasks, w
Externí odkaz:
http://arxiv.org/abs/1811.09783
Autor:
Liang, Dun, Guo, Yuanchen, Zhang, Shaokui, Zhang, Song-Hai, Hall, Peter, Zhang, Min, Hu, Shimin
High Definition (HD) maps play an important role in modern traffic scenes. However, the development of HD maps coverage grows slowly because of the cost limitation. To efficiently model HD maps, we proposed a convolutional neural network with a novel
Externí odkaz:
http://arxiv.org/abs/1807.05696