Yihua Tan

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 Yihua Tan trusts overall

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

1. Anil M. Cheriyadat
2. Gong Cheng
3. Yi Yang
4. Alex Krizhevsky
5. Svetlana Lazebnik

Who trusts Yihua Tan overall

1. Grant J. Scott

Papers from Yihua Tan's perspective

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

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

Their papers

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