David Mayo

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #20,868 of 21,575 by trust here, #7,176 by citations

Whom David Mayo trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Christian Szegedy
6. Ilya Sutskever
7. Andrew Zisserman
8. Barret Zoph
9. Yoshua Bengio
10. Ross B. Girshick

Who trusts David Mayo overall

1. Ali Borji
2. Hieu Pham
3. Michael Matena
4. Rohan Taori
5. Xiaohua Zhai

Papers from David Mayo's perspective

Ordered by how strongly the researchers David Mayo 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. ImageNet Large Scale Visual Recognition Challenge
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Microsoft COCO: Common Objects in Context

Their papers

• ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models (2019) — 692 citations