Amy Bearman

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 353 researchers and is trusted by 81 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it; #3,419 of 21,575 by trust here, #6,371 by citations
• Artificial Intelligence — 8 citations into it; #9,787 of 35,345 by trust here, #8,999 by citations

Whom Amy Bearman trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Andrew Zisserman
6. Alex Krizhevsky
7. Yann LeCun
8. Yoshua Bengio
9. Bharath Hariharan
10. Diederik P. Kingma

Who trusts Amy Bearman overall

1. Yunchao Wei
2. Xiaolin Zhang
3. Shiyin Zhang
4. Vittorio Ferrari
5. Jiwoon Ahn
6. Michael Gygli
7. Rodrigo Benenson
8. Alexander Kolesnikov
9. Suyog Dutt Jain
10. Paul Vernaza

Papers from Amy Bearman's perspective

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

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

Their papers

• What's the Point: Semantic Segmentation with Point Supervision (2015) — 1,109 citations