Hui Zhou

Computer Vision and Pattern Recognition · with Li · 2020

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it

Whom Hui Zhou trusts overall

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

1. Kaiming He
2. Liang-Chieh Chen
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Alex Krizhevsky
6. Yoshua Bengio
7. Yann LeCun
8. Diederik P. Kingma
9. Bichen Wu
10. Karen Simonyan

Who trusts Hui Zhou overall

1. Tai Wang

Papers from Hui Zhou's perspective

Ordered by how strongly the researchers Hui Zhou 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
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

• Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation (2020) — 723 citations