Songping Fu

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 52 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it

Whom Songping Fu trusts overall

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

1. Jianbo Shi
2. Karen Simonyan
3. John F. Canny
4. Gedas Bertasius
5. Piotr Doll'ar
6. Andrew Zisserman
7. Jitendra Malik
8. Geoffrey E. Hinton
9. Kaiming He
10. Alex Krizhevsky

Papers from Songping Fu's perspective

Ordered by how strongly the researchers Songping Fu 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
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. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Deep-learning-based object-level contour detection with CCG and CRF optimization (2017) — 16 citations