Yu Dong

Computer Vision and Pattern Recognition · with Chen · 2020

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

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it

Whom Yu Dong trusts overall

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

1. Wenqi Ren
2. Nathan Silberman
3. Augustus Odena
4. Geoffrey E. Hinton
5. Kaiming He
6. Raanan Fattal
7. Derek Hoiem
8. Alex Krizhevsky
9. Robby T. Tan
10. Diederik P. Kingma

Who trusts Yu Dong overall

1. Boyun Li

Papers from Yu Dong's perspective

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

Their papers

• FD-GAN: Generative Adversarial Networks with Fusion-discriminator for Single Image Dehazing (2020) — 321 citations