Ke Shang

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it
• Media Technology — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Ke Shang trusts overall

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

1. Anil M. Cheriyadat

Papers from Ke Shang's perspective

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

1. Learning Multiple Layers of Features from Tiny Images
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Going deeper with convolutions
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Unsupervised Multilayer Feature Learning for Satellite Image Scene Classification (2016) — 138 citations