Yuzhuo Fu

Computer Vision and Pattern Recognition · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 112 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Artificial Intelligence — 18 citations into it
• Model Architectures — 13 citations into it

Whom Yuzhuo Fu trusts overall

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

1. Kaiming He
2. Zhun Zhong
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. X. Zhang
6. Shaoqing Ren
7. Ross B. Girshick
8. Diederik P. Kingma
9. Yoshua Bengio
10. Yann LeCun

Papers from Yuzhuo Fu's perspective

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

Their papers

• MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation (2022) — 335 citations
• Unsupervised Domain Adaptation Through Synthesis For Person Re-Identification (2020) — 48 citations