Shuaijun Chen

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it
• Media Technology — 20 citations into it
• Generative Models — 18 citations into it

Whom Shuaijun Chen trusts overall

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

1. Radu Timofte

Papers from Shuaijun Chen's perspective

Ordered by how strongly the researchers Shuaijun Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet Large Scale Visual Recognition Challenge
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Going deeper with convolutions
8. ImageNet: A large-scale hierarchical image database
9. GENERATIVE ADVERSARIAL NETS
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Unsupervised Image Super-Resolution with an Indirect Supervised Path (2019) — 49 citations