Shengfeng He

Computer Vision and Pattern Recognition · with Xu · 2021

A researcher in the Science corpus: 2 papers; trusts 172 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 53 citations into it; #21,214 of 21,575 by trust here, #18,266 by citations
• Generative Models — 20 citations into it

Whom Shengfeng He trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ross B. Girshick
5. Christian Szegedy
6. Diederik P. Kingma
7. Yoshua Bengio
8. Jia Deng
9. Yann LeCun
10. Ilya Sutskever

Who trusts Shengfeng He overall

1. Xinchao Wang

Papers from Shengfeng He's perspective

Ordered by how strongly the researchers Shengfeng He 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. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• From Continuity to Editability: Inverting GANs with Consecutive Images (2021) — 41 citations
• Shunted Self-Attention via Multi-Scale Token Aggregation (2021) — 322 citations