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pro vyhledávání: '"Morgan, Stuart"'
Group activity recognition in video is a complex task due to the need for a model to recognise the actions of all individuals in the video and their complex interactions. Recent studies propose that optimal performance is achieved by individually tra
Externí odkaz:
http://arxiv.org/abs/2401.03262
Publikováno v:
Machine.Vision.and.Applications. 33 (2002)
We introduce a novel deep learning based group activity recognition approach called the Pose Only Group Activity Recognition System (POGARS), designed to use only tracked poses of people to predict the performed group activity. In contrast to existin
Externí odkaz:
http://arxiv.org/abs/2108.04186
Automatically determining three-dimensional human pose from monocular RGB image data is a challenging problem. The two-dimensional nature of the input results in intrinsic ambiguities which make inferring depth particularly difficult. Recently, resea
Externí odkaz:
http://arxiv.org/abs/1806.01484
We study deep learning approaches to inferring numerical coordinates for points of interest in an input image. Existing convolutional neural network-based solutions to this problem either take a heatmap matching approach or regress to coordinates wit
Externí odkaz:
http://arxiv.org/abs/1801.07372
In many sports, it is useful to analyse video of an athlete in competition for training purposes. In swimming, stroke rate is a common metric used by coaches; requiring a laborious labelling of each individual stroke. We show that using a Convolution
Externí odkaz:
http://arxiv.org/abs/1705.09894
Due to recent advances in technology, the recording and analysis of video data has become an increasingly common component of athlete training programmes. Today it is incredibly easy and affordable to set up a fixed camera and record athletes in a wi
Externí odkaz:
http://arxiv.org/abs/1705.09003
Autor:
Heaselgrave, Samuel R., Heising, Silke, Morgan, Stuart A., Carthwright, David M., Sagmeister, Michael, Hardy, Rowan S., Doig, Craig L., Morton, Nicholas, Tsintzas, Kostas, Lavery, Gareth G.
Publikováno v:
Journal of Endocrinology; Nov2024, Vol. 263 Issue 2, p1-10, 10p
Autor:
Morgan, Stuart A., Berryman, Darlene E., List, Edward O., Lavery, Gareth G., Stewart, Paul M., Kopchick, John J.
Publikováno v:
In Growth Hormone & IGF Research February 2022 62
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 2783-2792 (2022)
Numerous state-of-the-art solutions for neural speech decoding and synthesis incorporate deep learning into the processing pipeline. These models are typically opaque and can require significant computational resources for training and execution. A d
Externí odkaz:
https://doaj.org/article/9574530b262e459282786a97cbc6c465
Autor:
Srdjan Lesaja, Morgan Stuart, Jerry J. Shih, Pedram Z. Soroush, Tanja Schultz, Milos Manic, Dean J. Krusienski
Publikováno v:
IEEE Access, Vol 10, Pp 133526-133538 (2022)
Neuroprosthetics have demonstrated the potential to decode speech from intracranial brain signals, and hold promise for one day returning the ability to speak to those who have lost it. However, data in this domain is scarce, highly variable, and cos
Externí odkaz:
https://doaj.org/article/2b6f309118cf441bb49bf69379164351