SPARCNN: SPAtially Related Convolutional Neural Networks

no code implementations • 24 Aug 2017 • JT Turner, Kalyan Moy Gupta, David Aha

We introduce a detection and classification technique called Spatially Related Detection with Convolutional Neural Networks (SPARCNN) that learns and exploits a probabilistic representation of inter-object spatial configurations within images from training sets for more effective region proposals to use with state-of-the-art CNNs.

General Classification object-detection +2

Convolutional Architecture Exploration for Action Recognition and Image Classification

no code implementations • 23 Dec 2015 • J. T. Turner, David Aha, Leslie Smith, Kalyan Moy Gupta

In this report we report on a caffe feature extraction pipeline of images taken from the videos of the UCF Sports Action dataset.

Action Recognition Classification +3