Jie Shao

Computer Vision and Pattern Recognition · with Wang · 2015–2020

A researcher in the Science corpus: 2 papers; trusts 209 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 53 citations into it
• Artificial Intelligence — 35 citations into it
• Model Architectures — 13 citations into it
• Natural Language Processing — 7 citations into it

Whom Jie Shao 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. Yoshua Bengio
6. Karen Simonyan
7. Jia Deng
8. Diederik P. Kingma
9. Yann LeCun
10. Ilya Sutskever

Who trusts Jie Shao overall

1. Guillermo Alonso Iglesias
2. Heliang Zheng

Papers from Jie Shao's perspective

Ordered by how strongly the researchers Jie Shao 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
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

• Multiple Granularity Descriptors for Fine-Grained Categorization (2015) — 223 citations
• Is normalization indispensable for training deep neural network? (2020) — 68 citations