Yeji Shen

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 134 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it
• Generative Models — 19 citations into it

Whom Yeji Shen trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Diederik P. Kingma
5. Yoshua Bengio
6. Yann LeCun
7. Liang-Chieh Chen
8. Ross B. Girshick
9. Alec Radford
10. Karen Simonyan

Who trusts Yeji Shen overall

1. Hongyu Liu
2. Chuanxia Zheng

Papers from Yeji Shen's perspective

Ordered by how strongly the researchers Yeji 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. 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

• SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting (2018) — 197 citations