Chaojian Yu

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 141 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Artificial Intelligence — 15 citations into it
• Model Architectures — 7 citations into it

Whom Chaojian Yu trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Andrew Zisserman
4. Jonathan Krause
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Ross B. Girshick
8. Christian Szegedy
9. Jia Deng
10. Yann LeCun

Who trusts Chaojian Yu overall

1. Weifeng Ge
2. Yingwei Pan
3. Yue Chen
4. Xiu-Shen Wei
5. Ju He
6. Xiangru Lin
7. Ting Yao
8. Tao Mei
9. Yalong Bai

Papers from Chaojian Yu's perspective

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

Their papers

• Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition (2018) — 328 citations