no code implementations • 22 May 2023 • Theo W. Costain, Kejie Li, Victor A. Prisacariu
Prior works have demonstrated that implicit representations trained only for reconstruction tasks typically generate encodings that are not useful for semantic tasks.
no code implementations • 17 Oct 2022 • Theo W. Costain, Victor Adrian Prisacariu
We present ApproxConv, a novel method for compressing the layers of a convolutional neural network.
no code implementations • 29 Jan 2021 • Theo W. Costain, Victor Adrian Prisacariu
Neural implicit representations have shown substantial improvements in efficiently storing 3D data, when compared to conventional formats.
1 code implementation • ECCV 2020 • 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 throughout the layers of a CNN.
1 code implementation • CVPR 2020 • Shuda Li, Kai Han, Theo W. Costain, Henry Howard-Jenkins, Victor Prisacariu
This is a challenging task due to large intra-class variations and a lack of dense pixel level annotations.
Ranked #11 on Semantic correspondence on PF-PASCAL