Seung Hoon Lee

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 214 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it
• Artificial Intelligence — 29 citations into it
• Model Architectures — 16 citations into it
• Optimization & Training — 7 citations into it

Whom Seung Hoon Lee trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Christian Szegedy
5. Ilya Sutskever
6. Ross B. Girshick
7. Jimmy Ba
8. Yoshua Bengio
9. Diederik P. Kingma
10. Quoc V. Le

Who trusts Seung Hoon Lee overall

1. Yanyu Li

Papers from Seung Hoon Lee's perspective

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

Their papers

• Vision Transformer for Small-Size Datasets (2021) — 307 citations