Han Chen

Computer Vision and Pattern Recognition · with Li · 2018

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it
• Generative Models — 11 citations into it
• Artificial Intelligence — 6 citations into it

Whom Han Chen trusts overall

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

1. Christian Szegedy
2. Thorsten Joachims
3. Sergey Ioffe
4. Karen Simonyan
5. Individualized Treat
6. Alec Radford
7. Geoffrey E. Hinton
8. Andrew Zisserman
9. Alex Krizhevsky
10. Diederik P. Kingma

Papers from Han Chen's perspective

Ordered by how strongly the researchers Han Chen 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. GENERATIVE ADVERSARIAL NETS
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Long Short-Term Memory

Their papers

• Can Forensic Detectors Identify GAN Generated Images? (2018) — 23 citations