Xiaofeng Zhang

Computer Vision and Pattern Recognition · with Ling · 2018

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it; #19,017 of 21,575 by trust here, #19,310 by citations
• Generative Models — 13 citations into it

Whom Xiaofeng Zhang trusts overall

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

1. Karen Simonyan
2. Individualized Treat
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Diederik P. Kingma
6. Andrew Zisserman
7. Yoshua Bengio
8. Yousef Rezaei Tabar
9. Tim Salimans
10. Yann LeCun

Who trusts Xiaofeng Zhang overall

1. Björn Barz
2. Chongxuan Li
3. Joachim Denzler
4. Kun Xu

Papers from Xiaofeng Zhang's perspective

Ordered by how strongly the researchers Xiaofeng Zhang 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. ImageNet: A large-scale hierarchical image database
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. GENERATIVE ADVERSARIAL NETS
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification (2018) — 93 citations