Huaiyong Guo

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it

Whom Huaiyong Guo trusts

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

1. Kaiming He (in Computer Vision and Pattern Recognition)
2. Shaoqing Ren (in Computer Vision and Pattern Recognition)
3. X. Zhang (in Computer Vision and Pattern Recognition)
4. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Huaiyong Guo's perspective

Ordered by how strongly the researchers Huaiyong Guo 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. Rethinking the Inception Architecture for Computer Vision
3. Non-local Neural Networks
4. Aggregated Residual Transformations for Deep Neural Networks
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. ImageNet Large Scale Visual Recognition Challenge
10. ImageNet: A large-scale hierarchical image database

Their papers

• Efficient Multi-Scale Attention Module with Cross-Spatial Learning (2023) — 1,503 citations