Walterio Mayol-Cuevas

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University of Bristol

Agile Reactive Navigation for A Non-Holonomic Mobile Robot Using A Pixel Processor Array

This paper presents an agile reactive navigation strategy for driving a ...
09/27/2020 ∙ by Yanan Liu, et al. ∙ 0 ∙ share

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Fully Embedding Fast Convolutional Networks on Pixel Processor Arrays

We present a novel method of CNN inference for pixel processor array (PP...
04/27/2020 ∙ by Laurie Bose, et al. ∙ 6 ∙ share

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Action Modifiers: Learning from Adverbs in Instructional Videos

We present a method to learn a representation for adverbs from instructi...
12/13/2019 ∙ by Hazel Doughty, et al. ∙ 18 ∙ share

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A Camera That CNNs: Towards Embedded Neural Networks on Pixel Processor Arrays

We present a convolutional neural network implementation for pixel proce...
09/12/2019 ∙ by Laurie Bose, et al. ∙ 9 ∙ share

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Egocentric affordance detection with the one-shot geometry-driven Interaction Tensor

In this abstract we describe recent [4,7] and latest work on the determi...
06/13/2019 ∙ by Eduardo Ruiz, et al. ∙ 0 ∙ share

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The Pros and Cons: Rank-aware Temporal Attention for Skill Determination in Long Videos

We present a new model to determine relative skill from long videos, thr...
12/13/2018 ∙ by Hazel Doughty, et al. ∙ 12 ∙ share

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What can I do here? Leveraging Deep 3D saliency and geometry for fast and scalable multiple affordance detection

This paper develops and evaluates a novel method that allows for the det...
12/03/2018 ∙ by Eduardo Ruiz, et al. ∙ 0 ∙ share

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Towards CNN map representation and compression for camera relocalisation

This paper presents a study on the use of Convolutional Neural Networks ...
09/15/2017 ∙ by Luis Contreras, et al. ∙ 0 ∙ share

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Geometric Affordances from a Single Example via the Interaction Tensor

This paper develops and evaluates a new tensor field representation to e...
03/30/2017 ∙ by Eduardo Ruiz, et al. ∙ 0 ∙ share

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Who's Better, Who's Best: Skill Determination in Video using Deep Ranking

This paper presents a method for assessing skill of performance from vid...
03/29/2017 ∙ by Hazel Doughty, et al. ∙ 0 ∙ share

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Trespassing the Boundaries: Labeling Temporal Bounds for Object Interactions in Egocentric Video

Manual annotations of temporal bounds for object interactions (i.e. star...
03/27/2017 ∙ by Davide Moltisanti, et al. ∙ 0 ∙ share

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Improving Classification by Improving Labelling: Introducing Probabilistic Multi-Label Object Interaction Recognition

This work deviates from easy-to-define class boundaries for object inter...
03/24/2017 ∙ by Michael Wray, et al. ∙ 0 ∙ share

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Towards CNN Map Compression for camera relocalisation

This paper presents a study on the use of Convolutional Neural Networks ...
03/02/2017 ∙ by Luis Contreras, et al. ∙ 0 ∙ share

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SEMBED: Semantic Embedding of Egocentric Action Videos

We present SEMBED, an approach for embedding an egocentric object intera...
07/28/2016 ∙ by Michael Wray, et al. ∙ 0 ∙ share

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You-Do, I-Learn: Unsupervised Multi-User egocentric Approach Towards Video-Based Guidance

This paper presents an unsupervised approach towards automatically extra...
10/16/2015 ∙ by Dima Damen, et al. ∙ 0 ∙ share

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Walterio Mayol-Cuevas

Featured Co-authors

Ivan Laptev

Rui Fan

Dima Damen

Michael Wray

Yanan Liu

Davide Moltisanti

Hazel Doughty

Laurie Bose

Jianing Chen

Stephen J. Carey

Piotr Dudek

Agile Reactive Navigation for A Non-Holonomic Mobile Robot Using A Pixel Processor Array

Fully Embedding Fast Convolutional Networks on Pixel Processor Arrays

Action Modifiers: Learning from Adverbs in Instructional Videos

A Camera That CNNs: Towards Embedded Neural Networks on Pixel Processor Arrays

Egocentric affordance detection with the one-shot geometry-driven Interaction Tensor

The Pros and Cons: Rank-aware Temporal Attention for Skill Determination in Long Videos

What can I do here? Leveraging Deep 3D saliency and geometry for fast and scalable multiple affordance detection

Towards CNN map representation and compression for camera relocalisation

Geometric Affordances from a Single Example via the Interaction Tensor

Who's Better, Who's Best: Skill Determination in Video using Deep Ranking

Trespassing the Boundaries: Labeling Temporal Bounds for Object Interactions in Egocentric Video

Improving Classification by Improving Labelling: Introducing Probabilistic Multi-Label Object Interaction Recognition

Towards CNN Map Compression for camera relocalisation

SEMBED: Semantic Embedding of Egocentric Action Videos

You-Do, I-Learn: Unsupervised Multi-User egocentric Approach Towards Video-Based Guidance