Ce Chen

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 96 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 — 21 citations into it
• Generative Models — 12 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Ce Chen trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Raanan Fattal
6. Chao Dong
7. Diederik P. Kingma
8. Andrew Zisserman
9. Yann LeCun
10. Yoshua Bengio

Papers from Ce Chen's perspective

Ordered by how strongly the researchers Ce 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. GENERATIVE ADVERSARIAL NETS
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Structure-Preserving Super Resolution With Gradient Guidance (2020) — 388 citations