Yang Wang

Computer Vision and Pattern Recognition · with Yang · 2017

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 — 36 citations into it
• Artificial Intelligence — 6 citations into it

Whom Yang Wang trusts overall

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

1. Diederik P. Kingma
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Karen Simonyan
6. Deqing Sun
7. Jimmy Ba
8. Yoshua Bengio
9. Kaiming He
10. Yann LeCun

Who trusts Yang Wang overall

1. Pengpeng Liu
2. Simon Niklaus
3. Zihang Lai
4. Junhwa Hur
5. X. Wang
6. Jing Zhang
7. Michael Niemeyer
8. Michael R. Lyu
9. Irwin King
10. Feng Liu

Papers from Yang Wang's perspective

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

Their papers

• Occlusion Aware Unsupervised Learning of Optical Flow (2017) — 340 citations