Hang Dong

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Media Technology — 16 citations into it

Whom Hang Dong trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Raanan Fattal
4. Ross B. Girshick
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Robby T. Tan
8. Mohinder Malhotra
9. Peyman Milanfar
10. Jimmy Ba

Who trusts Hang Dong overall

1. Zewei He
2. Jeya Maria Jose Valanarasu
3. Yuda Song
4. Haiyan Wu
5. Zhe-ming Lu
6. Rajeev Yasarla

Papers from Hang Dong's perspective

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

Their papers

• Multi-Scale Boosted Dehazing Network With Dense Feature Fusion (2020) — 1,022 citations