Tom Yan

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it
• Artificial Intelligence — 24 citations into it

Whom Tom Yan trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Bolei Zhou
4. Karen Simonyan
5. Andrew Zisserman
6. Geoffrey E. Hinton
7. Ivan Laptev
8. Christian Szegedy
9. Sergey Ioffe
10. Ilya Sutskever

Papers from Tom Yan's perspective

Ordered by how strongly the researchers Tom Yan 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Moments in Time Dataset: One Million Videos for Event Understanding (2018) — 632 citations