Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Murez, Zak"'
Autor:
Hu, Anthony, Russell, Lloyd, Yeo, Hudson, Murez, Zak, Fedoseev, George, Kendall, Alex, Shotton, Jamie, Corrado, Gianluca
Autonomous driving promises transformative improvements to transportation, but building systems capable of safely navigating the unstructured complexity of real-world scenarios remains challenging. A critical problem lies in effectively predicting th
Externí odkaz:
http://arxiv.org/abs/2309.17080
Autor:
Stocking, Kaylene C., Murez, Zak, Badrinarayanan, Vijay, Shotton, Jamie, Kendall, Alex, Tomlin, Claire, Burgess, Christopher P.
Object-centric representations enable autonomous driving algorithms to reason about interactions between many independent agents and scene features. Traditionally these representations have been obtained via supervised learning, but this decouples pe
Externí odkaz:
http://arxiv.org/abs/2307.07147
Autor:
Hu, Anthony, Corrado, Gianluca, Griffiths, Nicolas, Murez, Zak, Gurau, Corina, Yeo, Hudson, Kendall, Alex, Cipolla, Roberto, Shotton, Jamie
An accurate model of the environment and the dynamic agents acting in it offers great potential for improving motion planning. We present MILE: a Model-based Imitation LEarning approach to jointly learn a model of the world and a policy for autonomou
Externí odkaz:
http://arxiv.org/abs/2210.07729
Autor:
Hu, Anthony, Murez, Zak, Mohan, Nikhil, Dudas, Sofía, Hawke, Jeffrey, Badrinarayanan, Vijay, Cipolla, Roberto, Kendall, Alex
Driving requires interacting with road agents and predicting their future behaviour in order to navigate safely. We present FIERY: a probabilistic future prediction model in bird's-eye view from monocular cameras. Our model predicts future instance s
Externí odkaz:
http://arxiv.org/abs/2104.10490
Autor:
Murez, Zak, van As, Tarrence, Bartolozzi, James, Sinha, Ayan, Badrinarayanan, Vijay, Rabinovich, Andrew
We present an end-to-end 3D reconstruction method for a scene by directly regressing a truncated signed distance function (TSDF) from a set of posed RGB images. Traditional approaches to 3D reconstruction rely on an intermediate representation of dep
Externí odkaz:
http://arxiv.org/abs/2003.10432
Multi-view stereo (MVS) is the golden mean between the accuracy of active depth sensing and the practicality of monocular depth estimation. Cost volume based approaches employing 3D convolutional neural networks (CNNs) have considerably improved the
Externí odkaz:
http://arxiv.org/abs/2003.08933
Zero-shot learning (ZSL) is a framework to classify images belonging to unseen classes based on solely semantic information about these unseen classes. In this paper, we propose a new ZSL algorithm using coupled dictionary learning. The core idea is
Externí odkaz:
http://arxiv.org/abs/1906.10509
We propose a general framework for unsupervised domain adaptation, which allows deep neural networks trained on a source domain to be tested on a different target domain without requiring any training annotations in the target domain. This is achieve
Externí odkaz:
http://arxiv.org/abs/1712.00479
Publikováno v:
In Machine Learning with Applications 15 June 2022 8
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