Minfeng Xu

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 47 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it
• Artificial Intelligence — 33 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Optimization & Training — 9 citations into it

Whom Minfeng Xu trusts overall

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

1. Dong-Hyun Lee
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Zhedong Zheng
5. Kaiming He
6. Yoshua Bengio
7. Diederik P. Kingma
8. Alex Kendall
9. Yarin Gal
10. Yann LeCun

Papers from Minfeng Xu's perspective

Ordered by how strongly the researchers Minfeng 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. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Mutual consistency learning for semi-supervised medical image segmentation (2021) — 418 citations
• Semi-supervised Left Atrium Segmentation with Mutual Consistency Training (2021) — 348 citations