Jun Xu

Computer Vision and Pattern Recognition · with Cheng · 2020

A researcher in the Science corpus: 2 papers; trusts 132 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 67 citations into it
• Artificial Intelligence — 42 citations into it
• Model Architectures — 19 citations into it

Whom Jun Xu trusts overall

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

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

Papers from Jun Xu's perspective

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

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

Their papers

• Interactive Knowledge Distillation (2020) — 6 citations
• JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation (2020) — 445 citations