Nana He

Computer Vision and Pattern Recognition · 2022

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 — 29 citations into it
• Artificial Intelligence — 16 citations into it
• Model Architectures — 8 citations into it
• Oncology — 6 citations into it
• Media Technology — 5 citations into it

Whom Nana He trusts overall

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

1. François Chollet
2. Karen Simonyan
3. Kaiming He
4. Hamid R. Tizhoosh
5. Debesh Jha
6. Andrew Zisserman
7. Olaf Ronneberger
8. Alex Krizhevsky
9. Geoffrey E. Hinton
10. X. Zhang

Papers from Nana He's perspective

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

Their papers

• DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation (2022) — 418 citations