Matthew Sinclair

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it

Whom Matthew Sinclair trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Karen Simonyan
2. Kaiming He
3. Diederik P. Kingma
4. Andrew Zisserman
5. Sergey Ioffe
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Yoshua Bengio
9. Liang-Chieh Chen
10. Christian Szegedy

Who trusts Matthew Sinclair overall

1. Xiangde Luo

Papers from Matthew Sinclair's perspective

Ordered by how strongly the researchers Matthew Sinclair trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation (2017) — 431 citations
• Automatic Shadow Detection in 2D Ultrasound (2018) — 5 citations
• Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation (2017) — 460 citations
• Automated cardiovascular magnetic resonance image analysis with fully convolutional networks (2017) — 706 citations