Peipei Song

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 131 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it
• Cognitive Neuroscience — 9 citations into it

Whom Peipei Song trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Andrew Zisserman
6. Ross B. Girshick
7. Jia Deng
8. Diederik P. Kingma
9. Yoshua Bengio
10. Yann LeCun

Papers from Peipei Song's perspective

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

1. ImageNet: A large-scale hierarchical image database
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Microsoft COCO: Common Objects in Context
9. ImageNet Large Scale Visual Recognition Challenge
10. Long Short-Term Memory

Their papers

• Weakly-Supervised Salient Object Detection via Scribble Annotations (2020) — 314 citations