1 citations · 1 across the 2 of their papers we have counts for
3 papers
Approximating Continuous Convolutions for Deep Network Compression
Theo W. Costain, Victor Adrian Prisacariu
We present ApproxConv, a novel method for compressing the layers of a convolutional neural network. Reframing conventional discrete convolution as continuous convolution of paramet…
Finding Non-Uniform Quantization Schemes using Multi-Task Gaussian Processes
Marcelo Gennari do Nascimento, Theo W. Costain, Victor Adrian Prisacariu
We propose a novel method for neural network quantization that casts the neural architecture search problem as one of hyperparameter search to find non-uniform bit distributions th…
Correspondence Networks with Adaptive Neighbourhood Consensus
Shuda Li, Kai Han, Theo W. Costain +2
In this paper, we tackle the task of establishing dense visual correspondences between images containing objects of the same category. This is a challenging task due to large intra…