Daiyuan Chen

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 76 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Generative Models — 15 citations into it
• Artificial Intelligence — 8 citations into it

Whom Daiyuan Chen trusts overall

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

1. Diederik P. Kingma
2. Christian Szegedy
3. Geoffrey E. Hinton
4. Sergey Ioffe
5. Karen Simonyan
6. Scott E. Reed
7. Kaiming He
8. Alex Krizhevsky
9. Andrew Zisserman
10. Yoshua Bengio

Papers from Daiyuan Chen's perspective

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

Their papers

• Perceptual Pyramid Adversarial Networks for Text-to-Image Synthesis (2019) — 46 citations