Theo W. Costain — accepted AI-conference papers

2020

Correspondence Networks With Adaptive Neighbourhood Consensus

Shuda Li, Kai Han, Theo W. Costain, Henry Howard-Jenkins, Victor Prisacariu

CVPR 2020poster

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-class variations and a lack of dense pixel level annotations. We propose a convolutional neural network architecture, c…

Cited by 97 PDF ↗code ↗Scholar ↗

2020

Finding Non-Uniform Quantization Schemes using Multi-Task Gaussian Processes

Marcelo Gennari do Nascimento, Theo W. Costain, Victor Adrian Prisacariu

ECCV 2020poster

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 throughout the layers of a CNN. We perform the search assuming a Multi-Task Gaussian Processes prior, which splits the pro…

Cited by 8 Source ↗PDF ↗Scholar ↗