Alison Noble

Computer Vision and Pattern Recognition · 2006

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it; #20,440 of 21,575 by trust here, #16,367 by citations

Whom Alison Noble trusts overall

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

1. Andrew Blake
2. Yongjian Yu
3. Anant Madabhushi
4. Steven C. Mitchell
5. J. Bosch
6. Michael E. Leventon
7. Alin M. Achim
8. Simon Keith Warfield
9. Scott Konishi
10. Yunmei Chen

Who trusts Alison Noble overall

1. Lin Shi
2. Heng-Da Cheng
3. Shengfeng Liu
4. Xiahai Zhuang
5. Juan Shan
6. Yi Wang
7. Suguru Yasutomi
8. Bo Peng

Papers from Alison Noble's perspective

Ordered by how strongly the researchers Alison Noble 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. Gradient-based learning applied to document recognition
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet Large Scale Visual Recognition Challenge
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Long Short-Term Memory

Their papers

• Ultrasound image segmentation: a survey (2006) — 1,241 citations