Xin Zhu

Computer Vision and Pattern Recognition · with Weng · 2021

A researcher in the Science corpus: 1 paper; trusts 269 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it
• Artificial Intelligence — 22 citations into it
• Model Architectures — 10 citations into it
• Radiology, Nuclear Medicine and Imaging — 8 citations into it
• Neurology — 6 citations into it
• Biomedical Engineering — 5 citations into it
• Media Technology — 5 citations into it

Whom Xin Zhu trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Christian Szegedy
6. Yann LeCun
7. Ross B. Girshick
8. Andrew Zisserman
9. Yoshua Bengio
10. Evan Shelhamer

Papers from Xin Zhu's perspective

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

Their papers

• INet: Convolutional Networks for Biomedical Image Segmentation (2021) — 299 citations