Pengfei Ge

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 49 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Artificial Intelligence — 17 citations into it
• Representation & Self-Supervised Learning — 13 citations into it

Whom Pengfei Ge trusts overall

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

1. Mingsheng Long
2. Geoffrey E. Hinton
3. Kaiming He
4. Yann LeCun
5. Alex Krizhevsky
6. Yoshua Bengio
7. L. Eon Bottou
8. Michael I. Jordan
9. Diederik P. Kingma
10. Ilya Sutskever

Papers from Pengfei Ge's perspective

Ordered by how strongly the researchers Pengfei Ge 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. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. ImageNet Large Scale Visual Recognition Challenge
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Enhanced Transport Distance for Unsupervised Domain Adaptation (2020) — 201 citations