This work focuses on low bitrate video streaming scenarios (e.g. 50 -
20...
We present AROS, a one-shot learning approach that uses an explicit
repr...
This work presents a method to implement fully convolutional neural netw...
This work develops and demonstrates the integration of the SCAMP-5d visi...
Neural network designers have reached progressive accuracy by increasing...
Increasing number of filters in deeper layers when feature maps are decr...
This paper presents an agile reactive navigation strategy for driving a
...
We present a novel method of CNN inference for pixel processor array (PP...
We present a method to learn a representation for adverbs from instructi...
We present a convolutional neural network implementation for pixel proce...
In this abstract we describe recent [4,7] and latest work on the
determi...
We present a new model to determine relative skill from long videos, thr...
This paper develops and evaluates a novel method that allows for the
det...
This paper presents a study on the use of Convolutional Neural Networks ...
This paper develops and evaluates a new tensor field representation to
e...
This paper presents a method for assessing skill of performance from vid...
Manual annotations of temporal bounds for object interactions (i.e. star...
This work deviates from easy-to-define class boundaries for object
inter...
This paper presents a study on the use of Convolutional Neural Networks ...
We present SEMBED, an approach for embedding an egocentric object intera...
This paper presents an unsupervised approach towards automatically extra...