4 papers · 1 filter
Probabilistic Future Prediction for Video Scene Understanding
Anthony Hu, Fergal Cotter, Nikhil Mohan +2
We present a novel deep learning architecture for probabilistic future prediction from video. We predict the future semantics, geometry and motion of complex real-world urban scene…
A Learnable ScatterNet: Locally Invariant Convolutional Layers
Fergal Cotter, Nick Kingsbury
In this paper we explore tying together the ideas from Scattering Transforms and Convolutional Neural Networks (CNN) for Image Analysis by proposing a learnable ScatterNet. Previou…
Deep Learning in the Wavelet Domain
Fergal Cotter, Nick Kingsbury
This paper examines the possibility of, and the possible advantages to learning the filters of convolutional neural networks (CNNs) for image analysis in the wavelet domain. We are…
Visualizing and Improving Scattering Networks
Fergal Cotter, Nick Kingsbury
Scattering Transforms (or ScatterNets) introduced by Mallat are a promising start into creating a well-defined feature extractor to use for pattern recognition and image classifica…