Jingfeng Jiang

Computer Vision and Pattern Recognition · 2018

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

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it; #20,041 of 21,575 by trust here, #21,103 by citations
• Artificial Intelligence — 8 citations into it

Whom Jingfeng Jiang trusts overall

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

1. Yoshua Bengio
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Andrew L. Maas
6. Xavier Glorot
7. Ilya Sutskever
8. Nitish Srivastava
9. Andrew Zisserman
10. Evan Shelhamer

Who trusts Jingfeng Jiang overall

1. Arvid Lundervold

Papers from Jingfeng Jiang's perspective

Ordered by how strongly the researchers Jingfeng Jiang 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Dropout: a simple way to prevent neural networks from overfitting
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Automatic Semantic Segmentation of Brain Gliomas from MRI Images Using a Deep Cascaded Neural Network (2018) — 180 citations