John R. Zhang

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 67 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it

Whom John R. Zhang trusts overall

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

1. Richard E. Neapolitan
2. Rob Fergus
3. Tamara L. Berg
4. Thomas K. Leung
5. Piotr Doll'ar
6. Andrew Zisserman
7. Jitendra Malik
8. David M. Blei
9. Geoffrey E. Hinton
10. Jamie Shotton

Papers from John R. Zhang's perspective

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

Their papers

• Handling label noise in video classification via multiple instance learning (2011) — 51 citations