Yizhuang Zhou

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 255 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 95 citations into it; #20,238 of 21,575 by trust here, #16,787 by citations
• Artificial Intelligence — 67 citations into it; #33,064 of 35,345 by trust here, #25,809 by citations
• Model Architectures — 49 citations into it

Whom Yizhuang Zhou trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ross B. Girshick
5. Karen Simonyan
6. Yann LeCun
7. Yoshua Bengio
8. Christian Szegedy
9. Diederik P. Kingma
10. Ilya Sutskever

Who trusts Yizhuang Zhou overall

1. Daiqi Shi

Papers from Yizhuang Zhou's perspective

Ordered by how strongly the researchers Yizhuang Zhou 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. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs (2022) — 781 citations