Shan Yang

Computer Vision and Pattern Recognition · with Berg · 2016

A researcher in the Science corpus: 1 paper; trusts 144 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it; #6,680 of 21,575 by trust here, #4,438 by citations
• Artificial Intelligence — 15 citations into it; #14,129 of 35,345 by trust here, #6,014 by citations
• Multimodal Learning — 13 citations into it
• Natural Language Processing — 11 citations into it; #2,858 of 5,688 by trust here, #1,426 by citations

Whom Shan Yang trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Shaoqing Ren
6. Yoshua Bengio
7. Christian Szegedy
8. Yann LeCun
9. Ilya Sutskever
10. Oriol Vinyals

Who trusts Shan Yang overall

1. Zhe Gan
2. Zhengyuan Yang
3. Henghui Ding
4. Linjie Li
5. Licheng Yu
6. Xueyan Zou

Papers from Shan Yang's perspective

Ordered by how strongly the researchers Shan Yang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet Large Scale Visual Recognition Challenge
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Modeling Context in Referring Expressions (2016) — 1,767 citations