Su He

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it

Whom Su He trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. X. Zhang
5. Qibin Hou
6. Geoffrey E. Hinton

Papers from Su He's perspective

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

Their papers

• Efficient Multi-Scale Attention Module with Cross-Spatial Learning (2023) — 1,503 citations