Yan Wang

Computer Vision and Pattern Recognition · with Huo · 2022

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 — 38 citations into it
• Artificial Intelligence — 26 citations into it
• Model Architectures — 20 citations into it

Whom Yan Wang trusts

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

1. François Chollet (in Computer Vision and Pattern Recognition)
2. Kaiming He (in Computer Vision and Pattern Recognition)
3. Ross B. Girshick (in Computer Vision and Pattern Recognition)
4. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Yan Wang's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Layer Normalization
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. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification (2022) — 352 citations