Xiang-jun Shen

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it

Whom Xiang-jun Shen trusts overall

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

1. Xiaofei He
2. Peter N. Belhumeur
3. Partha Niyogi
4. Jian Yang
5. Shuicheng Yan
6. Ming-Hsuan Yang

Papers from Xiang-jun Shen's perspective

Ordered by how strongly the researchers Xiang-jun 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. Going deeper with convolutions
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Maximum Neighborhood Margin Discriminant Projection for Classification (2014) — 446 citations