Dongwon Kim

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Artificial Intelligence — 16 citations into it

Whom Dongwon Kim trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Christian Szegedy
4. Geoffrey E. Hinton
5. Sergey Ioffe
6. Jia Deng
7. Alex Krizhevsky
8. Yann LeCun
9. Jimmy Ba
10. Yoshua Bengio

Papers from Dongwon Kim's perspective

Ordered by how strongly the researchers Dongwon Kim 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. ImageNet: A large-scale hierarchical image database
5. Going deeper with convolutions
6. Gradient-based learning applied to document recognition
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Proxy Anchor Loss for Deep Metric Learning (2020) — 468 citations