Huaming Wang

Computer Vision and Pattern Recognition · with Ouyang · 2018

A researcher in the Science corpus: 1 paper; trusts 252 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 54 citations into it
• Biomedical Engineering — 23 citations into it

Whom Huaming Wang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Wei Li
4. Alex Krizhevsky
5. Liang Zheng
6. Yoshua Bengio
7. Ross B. Girshick
8. Karen Simonyan
9. Christian Szegedy
10. Yann LeCun

Papers from Huaming Wang's perspective

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

Their papers

• Attention-Aware Compositional Network for Person Re-identification (2018) — 468 citations