Tom George Grigg

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Artificial Intelligence — 17 citations into it
• Representation & Self-Supervised Learning — 11 citations into it

Whom Tom George Grigg trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Simon Kornblith
5. Yoshua Bengio
6. Yann LeCun
7. Ross B. Girshick
8. Maithra Raghu
9. Diederik P. Kingma
10. Ting-Li Chen

Papers from Tom George Grigg's perspective

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

Their papers

• Do Self-Supervised and Supervised Methods Learn Similar Visual Representations? (2021) — 31 citations