Jianfang Cao

Computer Vision and Pattern Recognition · 2019

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 — 6 citations into it

Whom Jianfang Cao trusts overall

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

1. Matthew D. Zeiler
2. Rob Fergus
3. Tom White
4. David G. Lowe

Papers from Jianfang Cao's perspective

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

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

Their papers

• Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment (2019) — 25 citations