Yihong Wu

Computer Vision and Pattern Recognition · with Fan · 2017

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it
• Artificial Intelligence — 9 citations into it

Whom Yihong Wu trusts overall

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

1. Alex Krizhevsky
2. Karen Simonyan
3. Ross B. Girshick
4. Geoffrey E. Hinton
5. Evan Shelhamer
6. Ilya Sutskever
7. Andrew Zisserman
8. Kaiming He
9. Philipp Krahenbuhl
10. Yann LeCun

Who trusts Yihong Wu overall

1. Tongxue Zhou

Papers from Yihong Wu's perspective

Ordered by how strongly the researchers Yihong Wu 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers

• A deep learning model integrating FCNNs and CRFs for brain tumor segmentation (2017) — 724 citations