Yan Wang

Computer Vision and Pattern Recognition · with Qian · 2018

A researcher in the Science corpus: 1 paper; trusts 74 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it
• Artificial Intelligence — 13 citations into it

Whom Yan Wang trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Herbert Jaeger
4. Geoffrey E. Hinton
5. Matthew D. Zeiler
6. Alex Krizhevsky
7. Andrew Zisserman
8. Rob Fergus
9. Robert E. Schapire
10. Ross B. Girshick

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. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet Large Scale Visual Recognition Challenge
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Single-label and multi-label conceptor classifiers in pre-trained neural networks (2018) — 5 citations