Jian Zhang

Computer Vision and Pattern Recognition · with Peng · 2018

A researcher in the Science corpus: 1 paper; trusts 108 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Generative Models — 9 citations into it
• Artificial Intelligence — 7 citations into it

Whom Jian Zhang trusts overall

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

1. Augustus Odena
2. Karen Simonyan
3. Jun Wang
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Individualized Treat
7. Andrew Zisserman
8. Chelsea Finn
9. Yoshua Bengio
10. Diederik P. Kingma

Papers from Jian Zhang's perspective

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

Their papers

• SCH-GAN: Semi-Supervised Cross-Modal Hashing by Generative Adversarial Network (2018) — 125 citations