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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 ...
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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...
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Action Modifiers: Learning from Adverbs in Instructional Videos
We present a method to learn a representation for adverbs from instructi...
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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...
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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...
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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...
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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...
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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 ...
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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...
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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...
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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...
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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...
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Towards CNN Map Compression for camera relocalisation
This paper presents a study on the use of Convolutional Neural Networks ...
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SEMBED: Semantic Embedding of Egocentric Action Videos
We present SEMBED, an approach for embedding an egocentric object intera...
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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...
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