Guoping Xu

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 56 citations into it

Whom Guoping Xu trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Hu Cao
4. Geoffrey E. Hinton
5. Ross B. Girshick
6. Ilya Sutskever
7. Yoshua Bengio
8. Yann LeCun
9. Diederik P. Kingma
10. Evan Shelhamer

Who trusts Guoping Xu overall

1. Qing Xu
2. Kelei He
3. Wenting Duan

Papers from Guoping Xu's perspective

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

Their papers

• Haar wavelet downsampling: A simple but effective downsampling module for semantic segmentation (2023) — 373 citations
• LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentation (2021) — 314 citations