Jacqueline Matthew

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it

Whom Jacqueline Matthew trusts overall

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

1. Alex Krizhevsky
2. Karen Simonyan
3. Jost Tobias Springenberg
4. Geoffrey E. Hinton
5. Maxime Oquab
6. Sergey Ioffe
7. Iroon Polytechniou
8. Alexandru Cristian Telea
9. L. Eon Bottou
10. Ilya Sutskever

Who trusts Jacqueline Matthew overall

1. Christian F. Baumgartner

Papers from Jacqueline Matthew's perspective

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

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

Their papers

• Automatic Shadow Detection in 2D Ultrasound (2018) — 5 citations
• SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound (2016) — 388 citations
• Real-Time Standard Scan Plane Detection and Localisation in Fetal Ultrasound Using Fully Convolutional Neural Networks (2016) — 69 citations