Yang Hua

Computer Vision and Pattern Recognition · with Chen · 2015

A researcher in the Science corpus: 1 paper; trusts 79 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it
• Artificial Intelligence — 13 citations into it

Whom Yang Hua trusts overall

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

1. Antonio Torralba

Papers from Yang Hua's perspective

Ordered by how strongly the researchers Yang Hua 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. Histograms of oriented gradients for human detection
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Object Detection with Discriminatively Trained Part Based Models
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Contextualizing Object Detection and Classification (2015) — 42 citations