Shijie Jia

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it
• Artificial Intelligence — 6 citations into it
• Model Architectures — 6 citations into it

Whom Shijie Jia trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kunihiko Fukushima
4. Christian Szegedy
5. Karen Simonyan
6. Kaiming He
7. Sergey Ioffe
8. Matthew D. Zeiler
9. Yann LeCun
10. Ilya Sutskever

Who trusts Shijie Jia overall

1. Khaled Alomar
2. Halil Ibrahim Aysel

Papers from Shijie Jia's perspective

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

Their papers

• Research on data augmentation for image classification based on convolution neural networks (2017) — 259 citations