Zobrazeno 1 - 10
of 6 333
pro vyhledávání: '"ELLIOT, J."'
Autor:
Carr, Elliot J.
Mathematically modelling diffusive and advective transport of particles in heterogeneous layered media is important to many applications in computational, biological and medical physics. While deterministic continuum models of such transport processe
Externí odkaz:
http://arxiv.org/abs/2409.08447
Autor:
Ericsson, Linus, Espinosa, Miguel, Yang, Chenhongyi, Antoniou, Antreas, Storkey, Amos, Cohen, Shay B., McDonagh, Steven, Crowley, Elliot J.
Neural architecture search (NAS) finds high performing networks for a given task. Yet the results of NAS are fairly prosaic; they did not e.g. create a shift from convolutional structures to transformers. This is not least because the search spaces i
Externí odkaz:
http://arxiv.org/abs/2405.20838
In continual learning (CL) -- where a learner trains on a stream of data -- standard hyperparameter optimisation (HPO) cannot be applied, as a learner does not have access to all of the data at the same time. This has prompted the development of CL-s
Externí odkaz:
http://arxiv.org/abs/2404.06466
Autor:
Yang, Chenhongyi, Tkach, Anastasia, Hampali, Shreyas, Zhang, Linguang, Crowley, Elliot J., Keskin, Cem
We present EgoPoseFormer, a simple yet effective transformer-based model for stereo egocentric human pose estimation. The main challenge in egocentric pose estimation is overcoming joint invisibility, which is caused by self-occlusion or a limited fi
Externí odkaz:
http://arxiv.org/abs/2403.18080
Autor:
Yang, Chenhongyi, Chen, Zehui, Espinosa, Miguel, Ericsson, Linus, Wang, Zhenyu, Liu, Jiaming, Crowley, Elliot J.
We present PlainMamba: a simple non-hierarchical state space model (SSM) designed for general visual recognition. The recent Mamba model has shown how SSMs can be highly competitive with other architectures on sequential data and initial attempts hav
Externí odkaz:
http://arxiv.org/abs/2403.17695
Autor:
Turner, Jack1 (AUTHOR) jack.turner@ed.ac.uk, Crowley, Elliot J.1 (AUTHOR) elliot.j.crowley@ed.ac.uk, O'Boyle, Michael F.P.1 (AUTHOR) mob@inf.ed.ac.uk
Publikováno v:
Communications of the ACM. Oct2024, Vol. 67 Issue 10, p92-100. 9p.
We present WidthFormer, a novel transformer-based module to compute Bird's-Eye-View (BEV) representations from multi-view cameras for real-time autonomous-driving applications. WidthFormer is computationally efficient, robust and does not require any
Externí odkaz:
http://arxiv.org/abs/2401.03836
Deep Neural Networks (DNNs) are extremely computationally demanding, which presents a large barrier to their deployment on resource-constrained devices. Since such devices are where many emerging deep learning applications lie (e.g., drones, vision-b
Externí odkaz:
http://arxiv.org/abs/2311.08909
Autor:
Espinosa, Miguel, Crowley, Elliot J.
Despite recent advancements in image generation, diffusion models still remain largely underexplored in Earth Observation. In this paper we show that state-of-the-art pretrained diffusion models can be conditioned on cartographic data to generate rea
Externí odkaz:
http://arxiv.org/abs/2308.16648