Shiyong Hu

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 2 papers; trusts 776 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 181 citations into it; #14,961 of 21,575 by trust here, #12,689 by citations
• Artificial Intelligence — 106 citations into it
• Model Architectures — 72 citations into it
• Optimization & Training — 13 citations into it
• Efficiency & Compression — 10 citations into it

Whom Shiyong Hu trusts overall

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

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

Who trusts Shiyong Hu overall

1. Weihao Yu

Papers from Shiyong Hu's perspective

Ordered by how strongly the researchers Shiyong Hu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation (2022) — 1,260 citations
• Visual attention network (2022) — 1,051 citations