Ju He

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 153 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it
• Artificial Intelligence — 36 citations into it
• Model Architectures — 13 citations into it
• Optimization & Training — 6 citations into it

Whom Ju He trusts overall

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

1. Alex Krizhevsky
2. Karen Simonyan
3. Kaiming He
4. Geoffrey E. Hinton
5. Andrew Zisserman
6. Ilya Sutskever
7. Yoshua Bengio
8. Ross B. Girshick
9. Diederik P. Kingma
10. Yann LeCun

Papers from Ju He's perspective

Ordered by how strongly the researchers Ju He 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion (2020) — 110 citations
• TransFG: A Transformer Architecture for Fine-grained Recognition (2021) — 559 citations