Wei Shen

Computer Vision and Pattern Recognition · with Yang · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Model Architectures — 5 citations into it

Whom Wei Shen trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Navneet Dalal
5. Kaiming He
6. Karen Simonyan
7. Ross B. Girshick
8. Ilya Sutskever
9. Andrew L. Maas
10. Yangqing Jia

Who trusts Wei Shen overall

1. Wentao Zhu
2. Le Lu
3. Dinggang Shen
4. Min Chen
5. Shuo Wang
6. Adnan Qayyum
7. Justin Ker
8. Qingzeng Song
9. Yutong Xie
10. Chaochun Liu

Papers from Wei Shen's perspective

Ordered by how strongly the researchers Wei Shen 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification (2017) — 615 citations
• Multi-scale Convolutional Neural Networks for Lung Nodule Classification (2015) — 617 citations