Pai Peng

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it

Whom Pai Peng trusts overall

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

1. David G. Lowe
2. Herv'e J'egou
3. Ondřej Chum
4. Josef Sivic
5. Matthijs Douze
6. Andrew Zisserman
7. James Philbin
8. Cordelia Schmid
9. Geoffrey E. Hinton
10. Kaiming He

Papers from Pai Peng's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Distinctive Image Features from Scale-Invariant Keypoints
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. ImageNet Large Scale Visual Recognition Challenge
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• The knowing camera 2: recognizing and annotating places-of-interest in smartphone photos (2014) — 10 citations