Mingye Xie

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Artificial Intelligence — 15 citations into it
• Model Architectures — 11 citations into it

Whom Mingye Xie trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Ilya Loshchilov
4. Geoffrey E. Hinton
5. Olaf Ronneberger

Papers from Mingye Xie's perspective

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

Their papers

• MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation (2022) — 335 citations