Jun Ding

Computer Vision and Pattern Recognition · with Chen · 2016

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 — 9 citations into it

Whom Jun Ding trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Karen Simonyan
4. Yann LeCun
5. Ross B. Girshick
6. Vinod Nair
7. Ilya Sutskever
8. Christian Szegedy
9. Yoshua Bengio
10. Andrew Zisserman

Who trusts Jun Ding overall

1. Yang Long
2. Nataliia Kussul
3. Xiaoxiang Zhu
4. Chaopeng Shen
5. M. Lavreniuk
6. Yiping Gong

Papers from Jun Ding's perspective

Ordered by how strongly the researchers Jun Ding 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. Attention is All you Need (Neural Information Processing Systems)
7. Going deeper with convolutions
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Convolutional Neural Network With Data Augmentation for SAR Target Recognition (2016) — 681 citations