Shengming Zhang

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 80 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #16,859 of 21,575 by trust here, #20,756 by citations

Whom Shengming Zhang trusts overall

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

1. Ross B. Girshick
2. Karen Simonyan
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Andrew Zisserman
6. Matthew D. Zeiler
7. Marcel Simon
8. Yann LeCun
9. Bolei Zhou
10. Kaiming He

Who trusts Shengming Zhang overall

1. Quanshi Zhang

Papers from Shengming Zhang's perspective

Ordered by how strongly the researchers Shengming 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. 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Interactively Transferring CNN Patterns for Part Localization (2017) — 16 citations